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  • AN Jun, BIAN Haoyang, ZHOU Yibo
    Journal of Northeast Electric Power University. 2025, 45(3): 1-9. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0001-09
    Current deep learning architectures,particularly Transformer-based models,have demonstrated superior performance in power system transient stability assessment.However,conventional Transformers exhibit insufficient localized feature extraction capability for transient data characteristics.To address this limitation,we propose a Swin Transformer-based transient stability evaluation framework for power systems.By replacing the fixed block-based self-attention mechanism with a hybrid windowing approach that integrates non-overlapping local windows and shifted windows,our method enables synergistic computation of local-global attention patterns.This architecture effectively captures multi-grained features from power system transient data while improving predictive accuracy.Furthermore,our framework incorporates attention mechanism-guided key component identification through adaptive focus allocation, where attention weight distributions are analyzed to establish correlations with system instability modes.This not only enhances model interpretability but also optimizes computational efficiency.Notably,the proposed model exhibits linear computational complexity with respect to feature map dimensions,contrasting with the quadratic complexity inherent in traditional Transformers.Simulation results on the IEEE 10-machine 39-bus system demonstrate that our approach outperforms conventional deep learning and machine learning methods in stability assessment accuracy while maintaining lower computational costs compared to standard Transformer architectures.
  • YAN Gangui, ZHANG Haocheng, YUE Lin, YANG Cheng, LI Yongyue
    Journal of Northeast Electric Power University. 2025, 45(3): 19-29. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0019-11
    The wind power grid connected system relies on a phase-locked loop to maintain synchronous operation with the system and achieve decoupling control of active and reactive power.Under large disturbances,the phase-locked loop is highly susceptible to the influence of the grid connection point voltage,leading to wind turbines losing synchronization and disconnecting from the grid.Firstly,the equivalent rotor motion equation of the direct driven wind power grid connected system during the transient period was established,and its synchronization characteristics were characterized and analyzed.Then,by analogy with the power angle stability theory of traditional synchronous generators,analyze the existence of the transient stability equilibrium point of the system under a certain initial state and fault intensity.On this basis,the transient stability domain of active and reactive current injection during power grid faults was comprehensively characterized,and a series of characteristic points in the stability domain were analyzed in detail,providing design basis for different purpose oriented stability control strategies.Finally,a simulation model of a direct driven wind power grid connected system was built on the PSCAD platform,and the transient characteristics of the system under active and reactive current injection at corresponding feature points were quantitatively analyzed.Relevant simulation cases verified the theoretical analysis and the rationality of the proposed transient stability domain.
  • LIU Hongbo, LI Benxin, ZHANG Peng, WANG Xiao
    Journal of Northeast Electric Power University. 2025, 45(3): 10-18. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0010-10
    To accurately predict the operation status of wind turbines,realize early warning of wind turbine failures, and reduce the maintenance and operation costs,this article proposes an QPSO-CNN-Bi-LSTM-Attention based wind turbine condition prediction method.Firstly,KPCA algorithm is used to extract principal components of wind turbine SCADA monitoring data,and SPE is calculated to construct training set and testing set of wind turbine condition Secondly,the hyperparameters of the QPSO-CNN-Bi-LSTM-Attention model are optimized based on the training set data of the normal and abnormal conditions of the wind turbine,and the SPE of the testing set data is calculated to realize early warning of abnormal state by contrast SPE with its threshold.Finally,the effectiveness and accuracy of the proposed method are verified by an example analysis of the SCADA monitoring data of 1.5 WM wind turbine in a wind farm in Inner Mongolia.Case studies show that the proposed method can better extract the principal components hidden in nonlinear data,and has better prediction performance and stability compared with CNN,LSTM and CNN-LSTM methods in condition prediction of wind turbines.
  • WANG Weichen, LIN Haiyuan
    Journal of Northeast Electric Power University. 2025, 45(2): 59-68. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0059-10
    In recent years,with the rapid expansion of ultra-high voltage (UHV)long-distance overhead transmission networks and the continuous extension of power infrastructure coverage,the frequency of ice disasters has surged significantly.Chain fault events such as conductor breakage and tower collapse have occurred frequently,posing severe challenges to the secure and stable operation of power systems.To mitigate these impacts,it is crucial to enhance power system resilience during ice disasters.This involves calculating ice thickness on transmission lines using weather forecasts and micro-terrain data,determining the total load on lines and towers,and assessing the change in line failure rates based on design strengths.System operating states are simulated to construct resilience indices and evaluate system resilience.Enhancement methods are applied in pre-disaster,during-disaster,and post-disaster stages to improve system resilience.
  • LIU Fei, LI Jinyu, ZHAO Yang
    Journal of Northeast Electric Power University. 2025, 45(2): 8-13. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0008-06
    With the rapid development of new energy vehicles,V2X Vehicle to Everything)technology has become an effective means for vehicle-grid-load interconnection and energy sharing.As the core component of V2X technology,the bidirectional DC-DC converter is a key device for energy interaction.Faced with the significant voltage fluctuations of power batteries,how to maximize weighted efficiency over a wide voltage range,reduce the number of components,and enhance power density has always been the goal pursued in the development of V2X bidirectional converters.This paper focuses on wide-range gain bidirectional quasi-single-stage isolated DC-DC converters,which summarizes and reviews the existing research from three aspects:converter topology,modulation strategy,and control.The paper also identifies the shortcomings and challenges of the current research.
  • GAO Shanshan, ZHANG Xuan, LIU Boyu, WANG Yijie, XU Dianguo
    Journal of Northeast Electric Power University. 2025, 45(2): 1-7. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0001-07
    Miniaturized modular power supplies hold considerable significance in domains such as telecommunications,automotive engineering,aerospace technology,and data processing systems.By elevating the operating frequency of circuits,the size of passive components can be diminished,thereby enhancing the system's overall power density.This paper explores a half-bridge LLC resonant converter configuration,delving into its fundamental working principles and distinctive characteristics while aligning system parameters with specific project requirements.Recognizing the effect of leakage inductance on the transformer's secondary side under high-frequency conditions,an optimized circuit model is proposed.To ensure soft-switching attributes,the parameter calculation methodology has been meticulously refined.A prototype leveraging Gallium Nitride (GaN)technology was developed for empirical validation.It delivers a rated output power of 300 W,operates at a switching frequency of 1 MHz,sustains a nominal input voltage of 48 V,and outputs a voltage of 12 V.The system achieves an efficiency of 95.6%at full load, substantiating the accuracy and reliability of the theoretical analysis presented herein.
  • ZHANG Liwei, XU Zhixiang, ZHOU Wenting
    Journal of Northeast Electric Power University. 2025, 45(3): 40-49. https://doi.org/10.19718/i.issn.1005-2992.2025-03-0040-11
    The electric heating load can provide a variety of auxiliary services to the power system,which can reduce carbon emissions while improving the stability of the power system.With the deepening of its research at home and abroad,its application scale has gradually expanded.Based on the research results at home and abroad,this paper summarizes the key technologies of electric heating load participating in power grid regulation from four aspects single electric heating model analysis,electric heating load group aggregation mode analysis,electric heating regulation ability evaluation and electric heating participating in power grid auxiliary regulation control mode.Finally,the key technologies of electric heating load participating in power grid regulation are summarized.Combined with the problems faced by the current technology,the three future research directions of improving the modeling accuracy of electric heating load,considering the income problem of the third party and optimizing the scheduling strategy are prospected.
  • CUI Yang, XU Xiaoqing, YANG Haiwei, ZHAO Yuting
    Journal of Northeast Electric Power University. 2025, 45(3): 50-61. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0050-12
    In order to support the construction of a new power system,the hydropower function has gradually changed from 'power supply'to power supply flexible regulation'.The traditional day-ahead scheduling method of hydropower cannot cope with the short-term new energy fluctuation of power system because it cannot realize the real-time power balance adjustment of hydropower in power system.To this end,this paper proposes a multi-time scale scheduling strategy for cascade hydropower systems considering source-load collaborative optimization to deeply tap the potential of hydropower flexible regulation.Firstly,based on the characteristics of cascade hydropower operation,the problems existing in its participation in real-time power balance regulation of power system are analyzed from two aspects of power and water quantity.Secondly,the synergistic and complementary mechanism of source-side cascade hydropower and load-side flexible regulation resources is analyzed,and the multi-time scale scheduling framework of source-load of cascade water-wind-fire system is constructed.In the real-time stage,the allowable fluctuation range of water level is introduced to limit the fluctuation range of reservoir water level in the real-time regulation stage.Finally, the original model is transformed into a mixed integer linear programming model by using the linearization method,and the example analysis is carried out in the IEEE39 node system.The results show that compared with the traditional day-ahead scheduling method,the proposed method reduces the system operating cost by 9.3%,increases the wind power consumption by 1.52%,and reduces the system carbon emission by 4.85%.It can help the system to achieve safe,economic and low-carbon operation.
  • LI Jinxin, ZHENG Yue, BAO Wenqi, XIAO Yongming, LIU Qichao
    Journal of Northeast Electric Power University. 2025, 45(2): 52-58. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0052-07
    Based on the principle of coherent Doppler velocimetry,a wind-measuring lidar system with 3D scanning function is developed.By constructing the three-wave beam scanning mode and the speed azimuth display algorithm, the dynamic reconstruction of 3D wind field in the atmospheric boundary layer is realized.The synchronous observation test of ground-based radar and 3D laser radar was carried out in Lankao Plain area of Henan Province,and the linear regression model and timing analysis method were used to compare the horizontal wind speed,wind direction and 140m radial wind speed at the 280m height layer.The experimental results show that the horizontal wind speed measurement shows significant linear correlation;the wind direction data maintain high consistency (R2=0.908),but there is local directional deviation;the characteristics of radial wind speed has good synchronization (R2=0.982)。The 3D radar system shows the technical advantages of second-level refresh rate and sub-meter-level spatial resolution,which can accurately capture the low-altitude jet current and wind shear phenomenon.This study verifies the measurement reliability of 3D laser wind measurement technology in flat terrain,and provides a high-precision detection method for micro-site location and wake effect assessment of wind farms.
  • LI Shanshou, WANG Siwen, YE Wei, HUANG Meichu, XIE Chenlei
    Journal of Northeast Electric Power University. 2025, 45(3): 62-69. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0062-08
    In order to solve the problems of grid current impact and output power overshoot caused by the switching between the two working modes of remote island and grid connection of the microgrid inverter, an improved dual- mode unified control strategy was designed on the basis of droop control, drawing on the control of virtual synchronous machine, adding an inertia adjustment unit in the active droop control, and adding an integral link in the active and reactive droop control at the same time. While suppressing the impact of the incoming current, the system power is stably output at the rated value, and combined with the active pre- synchronization control of the grid, the smooth switching of the inverter's off/on- grid mode is realized. The simulation results verify the effectiveness of the control strategy proposed in this paper, and the inverter can achieve stable control of output power in both off- grid and grid- connected modes, and there is no voltage and current impulse when the mode is switched.
  • XIA Minghui, HAN Wei, SHE Chao, ZHAO Xinyi, LIAN Yucheng, LIN Zhongwei, SONG Yifan, ZHOU Jiawei
    Journal of Northeast Electric Power University. 2025, 45(3): 100-109. https://doi.org/10.19718/j.issn.1005- 2992.2025- 03- 0100- 10
    To address the issues of large active power fluctuations and low tracking accuracy in traditional wind and solar hybrid energy stations, leveraging the fast response speed and low adjustment cost of photovoltaic (PV) systems, this paper proposes an optimized control strategy based on real- time PV compensation. Firstly, the maximum achievable active power of the station is calculated. An Adaptive Exponential Moving Average (AEMA) algorithm is employed to process the theoretical power, enhancing the confidence level of the maximum achievable active power and reducing the fluctuation in the station's active power. Secondly, optimize the instruction computing module. By controlling the active power of the PV subsystem, and based on the time- misalignment and stepwise adjustment of wind and PV commands, the power deviation required for the tracking and scheduling commands of the wind and solar hybrid energy station is compensated in real- time. Finally, The strategy was tested on- site at wind and solar hybrid power stations. The results show that the proposed control strategy improves the station's regulation accuracy and reduces active power fluctuations compared to conventional strategies, and has broad application prospects.
  • HUANG Dawei, CHEN Bingyun, YIN Hang
    Journal of Northeast Electric Power University. 2025, 45(3): 30-39. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0030-10
    Aiming at the problems of equipment selection and capacity configuration of roof integrated photovoltaic storage system,this paper proposes the method of roof photovoltaic equipment selection and capacity optimization configuration based on multi-energy flow balance network model.The equipment and energy flow in the integrated photovoltaic storage system are abstracted as the binary relationship between nodes and branches,and the multi-energy flow balance network modeling is constructed to portray the multi-energy flow coupling relationship and distribution characteristics within the system;through the analysis of the multi-energy flow balance network topology,the graph theoretic method of vertex graph decomposition is applied,and the energy flow correlation matrix between the aggregation-assignment vertexes and the equipment to be selected is formed,and the equipment to be selected is combined in the form of 0-1 variables.The problem of optimizing the capacity allocation of rooftop photovoltaic integrated system is introduced,and an integer linear programming model with comprehensive consideration of economic and energy-saving indexes,as well as equipment selection,capacity allocation and operation constraints,is established.Through simulation,the reasonableness and effectiveness of the proposed modeling method in improving the economy and energy utilization level of building roof integrated photovoltaic storage system are verified.
  • CHU Zhuang, SUN Shaowen, ZHOU Chi
    Journal of Northeast Electric Power University. 2025, 45(2): 82-92. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0082-11
    In the integrated energy system,the electrical and thermal systems are connected through coupling elements The violation of the node variables of any subsystem may lead to unstable and unsafe operation of the entire integrated energy system.To this end,the static voltage and air pressure safety and stability margin indicators of the integrated energy system and strategies to improve the security of the integrated energy system are proposed.First,a model of the electrical and thermal system in the integrated energy system is constructed,and the coupling hub adopts the energy hub model;secondly,the alternating solution method of Newton-Raphson method is used to solve the multi-energy flow equation of the integrated energy system;next,the static voltage and pressure safety are given Margin range and related safety strategies:Based on the given safety margin index,use the sensitivity method to analyze the safety margin of state variables such as node voltage and air pressure under load disturbance to determine the weak links of the system;finally,select an appropriate strategy to Ensure that the system's node voltage and node air pressure meet safety margin requirements after load fluctuations.The calculation example analysis shows that the method proposed in this paper to determine system weak links is more efficient,and the proposed strategy can help improve the system security of the integrated energy system and enable it to operate reliably.
  • LI Cuiping, YU Shuyang, LIU Liande, HE Jiang, LI Junhui, LI Kaigiang
    Journal of Northeast Electric Power University. 2025, 45(2): 113-120. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0113-08
    At present,in the formulation of the in-plant operation strategy of pumped-storage power plants,there are problems such as not distinguishing the power characteristics of the same type of units,reducing the number of start-stops of the units,and the units working in the near-vibration range.In order to solve the above problems,this paper proposes an operation strategy of units in a pumped-storage power station based on unit combination optimization.On the basis of distinguishing the operating characteristics of units of the same type,optimization is carried out with the goal of minimum water consumption.List the unit combinations in the dispatching period,carry out the priority sorting with the goal of the least water consumption,and filter by the unit start and stop constraints.Based on this,the unit combination scheme in each dispatching period is obtained,and the power allocation of each unit is determined according to the screening results.The simulation results show that the strategy in this paper is effective in reducing water loss and improving the overall efficiency of pumped-storage power stations.
  • YAN Gangui, REN Shuang, WANG Zhenyang, ZHAO Yue, GUO Jianyu, WANG Dazhong
    Journal of Northeast Electric Power University. 2025, 45(2): 69-81. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0069-13
    The "dual carbon"goal propels the quick growth of new energy,and the large-scale wind power is connected to the grid via the traditional high-voltage direct current transmission (LCC-HVDC),which is the main way of wind power development and utilization.Subsynchronous oscillation is mostly caused by an inappropriate interaction between direct drive wind farms and LCC-HVDC,however there are many different causes that might cause it.In this article,the sub-synchronous oscillation problem of direct-drive wind farm via LCC-HVDC transmission system is addressed,and the impedance model of direct-drive wind turbine,DC transmission system and Point of Common Coupling (PCC)port is constructed by perturbation determination method.Based on the impedance analysis method,a stability criterion applicable to the AC/DC system is proposed to analyze the dominant factors affecting the stability domain of the system and the influence of each device on the impedance characteristics of the system,and the influence law of the control parameters on the impedance characteristics of the system is revealed.The results show that a decrease in the proportional coefficient and an increase in the integral coefficient of the rectifier side controllers of the direct drive wind farm GSC and LCC-HVDC will lead to negative resistance characteristics in the impedance of LCC-HVDC and wind turbine ports,resulting in negative damping characteristics in the parallel impedance composed of the direct drive wind farm and LCC-HVDC,indicating the risk of sub synchronous oscillation in the system.Finally, the time domain simulation of PSCAD/EMTDC platform is carried out to further verify the influence of control parameters on system stability.
  • PAN Chao, LAN Bing, LI Hao
    Journal of Northeast Electric Power University. 2025, 45(3): 90-99. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0090-10
    To mitigate the impact of renewable energy fluctuations on the power grid and achieve a balance between flexibility and toughness in the multi- energy coupling system, a robust and flexible regulation strategy for the multi- energy coupling system considering wind and solar uncertainty is proposed. The strategy involves tapping into the flexibility resources of sources, storage, and loads, determining the day- ahead plan based on the linkage of these flexible resources, and conducting robust intra- day regulation considering wind and solar fluctuations. Finally, a simulation analysis is conducted on a regional system in Northeast China, comprehensively evaluating the effectiveness of the operation plan from the economic cost, peak shaving and valley filling, wind and solar absorption and low carbon emissions. The results show that the robust and flexible regulation strategy for the multi- energy coupling system considering wind and solar uncertainty can effectively enhance its flexibility and toughness. When the wind and solar conservation parameter is 10/5 and the wind and solar uncertainty parameter is?σw,t/σv,tσw,t?/σv,t??, the wind and solar absorption rate is increased by 1.57%, the economic cost is saved by 53.90%, the peak shaving and valley filling is reduced by 0.36%, and the carbon emission of low- carbon units is reduced by 15.57%.
  • WEI Jian, LIU Chen, GUO Zhichao, ZHAO Xiaokun, WANG Weinan, ZHANG Jiawei
    Journal of Northeast Electric Power University. 2025, 45(2): 22-31. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0022-10
    In recent years,with the application of multilevel power amplifier in high precision field,the total harmonic distortion (THD)has become an important index in high-precision fields.Firstly,this paper introduces the application of multilevel power amplifier in the field of high precision and the harmonic problems caused by it.At the same time, the root of total harmonic distortion caused in a multilevel power amplifier system is elucidated.Then,the main literature is classified according to the means used to suppress total harmonic distortion,and the advantages and disadvantages of different harmonic suppression methods in topology,modulation strategy and multimodal control are summarized.In addition,the principle and characteristics of the new theory and method of harmonic suppression are emphatically expounded.Finally,a summary of THD suppression methods for multilevel power amplifiers was provided, highlighting research ideas for increasing the number of voltage levels and response speed,etc.
  • YU Na, YUAN Zhihao, HUANG Dawei, CHANG Yingjie
    Journal of Northeast Electric Power University. 2025, 45(2): 93-103. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0093-11
    With the high development of energysystem interconnection and energy transaction marketization,the regional interconnection of Multi-Integrated Energy System(MIES)makes the energy utilization efficiency of Integrated Energy System (IES)more efficient and the economic benefits more considerable.Firstly,this paper constructs the energy sharing architecture of MIES cooperation alliance under the background of multi-energy market, and establishes the power and backup point to point (P2P)transaction model between MIES.Secondly,the uncertainty of new energy output,the risk of electricity price and reserve price fluctuation are analyzed.In this paper,the conditional value-at-risk (CVaR)theory is used to construct the risk cost function and incorporate it into the comprehensive operation cost model.Finally,the Alternating Direction Method of Multipliers (ADMM)is selected for distributed solution,and the correctness and rationality of the model are verified by an example analysis.The minimization of MIES operating cost and the maximization of payment income are realized,which reflects the influence of different conditional risk aversion coefficients on MIES.
  • LI Juan, WANG Yan
    Journal of Northeast Electric Power University. 2025, 45(3): 70-80. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0070-11
    In this paper, on the basis of explaining the working principle of the current- limiting SSSC, the SSSC is adopted to strengthen the electrical connection between the sending end and the receiving end of the wind- thermal binding system. Based on the equivalent external characteristics of the doubly fed induction generator, a power model is established for the wind- thermal binding system with the current- limiting SSSC in normal operation, fault periods, and after faults. The relationship between the limiting resistance of the current- limiting SSSC and the defined initial swing transient stability margin is derived through the area- equal principle. A strategy is proposed to ensure the stability of the initial swing during fault periods by injecting the limiting resistance. The influence of wind power active power recovery and the compensation degree of the SSSC on the electromagnetic power after the fault removal is analyzed, and a control strategy is proposed to suppress the power oscillation after the first swing by changing the compensation degree of the SSSC according to the change of the angle of attack of the steam turbine and the recovery of wind power in each odd and even swing process. The simulation results in Simulink show that the control strategy of the current- limiting SSSC in different swing periods can effectively improve the transient stability of the wind- thermal binding system.
  • PAN Xiuyi, WANG Sijia, SUN Zhan, Liu Aocheng, GAO Shanshan, Wang Yijie
    Journal of Northeast Electric Power University. 2025, 45(2): 14-21. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0014-08
    The modular design and parallel optimization control of the DC microgrid distributed power supply system significantly enhance system stability and power expansion capabilities.However,due to the dynamic parameter cross-coupling characteristics of the bidirectional isolated converter parallel system,new challenges are brought to system modeling and stability analysis.Therefore,based on the unified dynamic model of the Dual Active Bridge (DAB)converter,a parallel integral droop control modeling method for multi-energy converters is proposed.The simulation results show that the proposed modeling method can accurately predict the step disturbance response,verifying the accuracy of the model.
  • ZHANG Liwei, DONG Hao, ZHOU Wenting
    Journal of Northeast Electric Power University. 2025, 45(2): 32-43. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0032-12
    In the face of large-scale development and utilization of new energy such as wind power and photovoltaic, the problem of insufficient flexibility of power system operation has become increasingly prominent.With the continuous advancement of electric energy transformation,the continuous innovation of power technology and the wide application of distributed generation technology,the load side is developing rapidly towards the trend of digitization,intelligence and activeness.Among them,temperature control loads such as air conditioning and electric heating show great adjustable potential.It is necessary to sort out the current research progress and future direction of temperature control load participating in grid auxiliary service technology from different angles.Firstly,the challenges faced by the active frequency control of the power grid under the new power system are summarized.Combined with the control framework of different frequency modulation mechanisms,the principles and characteristics of each control method of the temperature control load participating in the frequency modulation of the power grid are described in detail,and the advantages and disadvantages of different methods are analyzed.Secondly,the performance and application scenarios of single temperature control load and aggregation model are evaluated.Finally,the main problems and technical methods of air-conditioning load participating in different auxiliary services such as primary frequency modulation,secondary frequency modulation and underfrequency load shedding are summarized,so as to promote the temperature-controlled load to become an important part of power system frequency modulation in the future.
  • ZHANG Hong, ZHANG Lianshuai, LI Yazhou, ZHANG Zexi, LU Chunxiao, XING Dacheng
    Journal of Northeast Electric Power University. 2025, 45(3): 110-120. https://doi.org/10.19718/j.issn. 1005-2992.2025-03-0110-09
    With the full integration of wind and solar renewable energy,the increase of the total amount of wind and solar energy and the problem of insufficient system power regulation margin are becoming more and more serious.In order to realize the economic utilization of renewable energy and the stable operation of energy system,it is urgent to solve these problems,this paper proposes a bi- level optimal scheduling strategy for power margin adjustment of wind- solar- thermal- ammonia combined system considering ammonia waste heat recovery. Firstly,the overall power regulation margin model of thermal power unit- ammonia energy system and its waste heat recovery is established. Then,considering the influence of ambient temperature on the waste heat recovery efficiency of ammonia energy system,a bi- level optimal scheduling model is constructed with the maximum power regulation margin of wind- solar- fire- ammonia combined system as the upper objective and the minimum total cost as the lower objective.Finally,the simulation results show that the proposed optimal scheduling method can improve the power regulation margin of the combined system and promote the consumption of renewable energy.
  • JIANG Yuan, HE Xin, LI Weigi
    Journal of Northeast Electric Power University. 2025, 45(2): 44-51. https://doi.org/10.19718/i.issn.1005-2992.2025-02-0044-08
    With the wide application of power monitoring system,the management of cyberspace assets is becoming more and more complex,facing the problems of various data and unknown classification.To solve the above problems, the research on the construction and prediction recognition method of the cyberspace asset portrait of the power monitoring system was proposed.It proposes a prediction recognition method combined with MLP_LSTM model,which constructs a preliminary portrait of assets through asset information collection and feature extraction.Then,MLP is used to perform the nonlinear mapping of features,and LSTM model is introduced to capture the time series information of assets to achieve more accurate prediction and recognition.The simulation experiments show that,compared with the traditional method,the proposed method not only significantly improves the management efficiency and security,but also further improves the accuracy of prediction and identification through the introduction of MLP_LSTM model,which provides strong technical support for the intelligent management of cyberspace assets of the power monitoring system.
  • WANG Rutian, HAN Longjie, Yu Yang
    Journal of Northeast Electric Power University. 2025, 45(3): 81-89. https://doi.org/10.19718/j.issn.1005-2992.2025-03-0081-09
    In order to address the issue of inadequate voltage gain in conventional two- stage matrix converters, this paper puts forth a novel three- level high gain split- source flying capacitor two- stage matrix converter (TL- HGSSFC- TSMC) and undertakes a comprehensive investigation of its modulation strategy. The converter integrates the functionality of a two- stage matrix converter, a novel high- gain split- source network, and a three- level flying capacitor inverter, with the objective of enhancing the voltage gain and the quality of the output waveform of the converter. The rectifier stage modulation employs a zero- free vector modulation strategy, and the operating principles of the high- gain split- source network and the three- level flying capacitor topology are systematically analyzed. The flying capacitor inverter stage employs the enhanced space vector pulse width modulation (SVPWM) method based on phase- shifted carrier, a technique that effectively addresses the flying capacitor voltage unbalance issue. Subsequent to the theoretical underpinnings, a simulation verification procedure was executed using Matlab/Simulink. The outcomes demonstrate that the proposed converter substantially enhances the voltage transfer ratio and attains a three- level output when contrasted with the conventional topology.
  • ZHAO Pengyang, CHEN Hao, SUN Haihang
    Journal of Northeast Electric Power University. 2025, 45(2): 104-112. https://doi.org/10.19718/j.issn.1005-2992.2025-02-0104-09
    Extreme disasters may cause large-scale energy supply problems in the electricity-gas integrated energy system,resulting in power outages and gas outages.Existing fault scenario screening methods mostly focus on single fault scenarios and lack modeling of the cascading fault propagation mechanism in the electricity-gas coupled system,resulting in insufficient robustness prediction of the evaluation results for extreme disasters.This paper constructs a cascading failure model for the electricity-gas integrated energy system,considers the fault propagation mechanism of power transmission lines and natural gas pipelines,constructs a dynamic propagation model of cascading failures based on Markov decision process,and uses the proximal policy optimization algorithm to efficiently search and optimize disaster scenarios.Finally,a cascading failure model for the electricity-gas integrated energy system is built based on the IEEE 30-node power grid and 20-node gas grid,and the PPO algorithm training process is tested.The example shows that this method can identify serious fault scenarios and fault propagation paths and ensure good convergence,thereby improving the emergency response capability of the electricity-gas integrated energy system when it is impacted.
  • LIU Cheng, ZHOU Ling, LI Wenbiao, SONG Yuman
    Journal of Northeast Electric Power University. 2025, 45(4): 9-17. https://doi.org/10.19718/j.issn.1005-2992.2025-04-0009-09
    In recent years,with the "double carbon"goal proposed and the construction of new power system,the grid-forming control has been widely concerned by many scholars.In order to study the effect of GFM control on sub-synchronous oscillation of new energy power system,the mode energy function of GFM and GFL wind turbine is constructed based on network quantity measurement.Based on Prony-Levenberg-Marquardt (Prony-LM)method,the mode energy is identified and the mode energy components in different frequency bands are obtained.According to the amplitude of the mode energy,the participation degree of different modes in the system oscillation is obtained,and the mode with high energy amplitude is found to be the dominant oscillation mode of the system,which provides a new aspect for the damping of oscillation.The influence of grid-forming control on sub-synchronous oscillation of hybrid power system is further studied,and it is found that the access of grid-forming control will worsen the oscillation of the system,which is not conducive to the safety and stability of the system,and also lays a foundation for the subsequent sub-synchronous oscillation regulation of the net-grid type hybrid power system.Finally,the effectiveness of the proposed method is verified by MATLAB/Simulink simulation software.
  • XING Xiaomin, WANG Xiangchen, LI Yitao, ZHENG Xuerui
    Journal of Northeast Electric Power University. 2025, 45(4): 74-85. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0074-12
    In the context of the " dual carbon" goal,in order to more elliciently reduce carbon emisions and improvethe consumption rate of new energy, a comprehensive energy system source load coordination optimization schedulingstrategy considering a stepped green certilicate carbon trading interaction mechanism and electric and thermal flexibleloads is proposed. Firstly ,establish a tiered green certificate and tiered carbon trading interaction model, linking greencertificate trading and carbon trading through the carbon reduction emissions behind the green certificate; Then , aHexible electric and thermal load is added to the load side, considering both reducible and transferable loads, whileutilizing the thermal inertia of the thermal system and considering user comfort to construct a flexible thermal loadmodel; Finally, establish a source load collaborative scheduling model: flexibly adjust the load side through flexibleloads,thereby affecting the power generation arrangement on the source side and the value of the green certificatecarbon trading mechanism.l our scenarios were used to verily its elfectiveness ,and through case analysis ,it was verifiecthat the use of electric and thermal flexible loads can reduce the cost of green certificates and carbon trading on thesource side.This source load synergy effectively improves the consumption rate of new energy ,fully demonstrating theeffectiveness of the model proposed in this paper.
  • ZHANG Lei, JIN Lianhua, SHEN Jiang, CAO Shanqiao, LI Junfeng, HAN Siyu, FENG Zhengcong, ZHANG Lidong
    Journal of Northeast Electric Power University. 2025, 45(4): 26-32. https://doi.org/10.19718/j.issn.1005-2992.2025-04-0026-07
    In the context of addressing global climate change and reducing carbon emissions,wind power,as a key component of clean energy,is receiving increasing attention.With the rapid growth of wind power installations,there is a trend towards larger and more efficient wind turbine generators.Yaw control strategies play a critical role in enhancing wind energy capture efficiency,reducing operational and maintenance costs,and extending the lifespan of wind turbines,thus serving as essential means to improve the economic viability and sustainability of wind power.This paper systematically reviews the current research status and development trends in yaw control strategies for wind turbines,with a focus on the structural design and aerodynamic characteristics of yaw systems.It particularly examines the impacts of various control strategies on turbine fatigue loads,wind energy capture efficiency,and wake effects.Finally,based on current research trends,the paper proposes directions and technical pathways for optimizing yaw control strategies,offering insights and references for achieving efficient yaw control in future wind turbines.
  • LI Zifeng , CHU Hongchuan , SUN Qiao, LI Hongwei, FU Shaowen, CHEN Ruochen, ZHAO Boqun, LI Weidong
    Journal of Northeast Electric Power University. 2025, 45(4): 53-62. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0053-10
    After power disturbances occur in power systems, the frequency response presents significant spatial -temporal characteristics. The current situation of asynchronous frequency response in different areas determines that there is room for improvement in the frequency regulation capability of interconnected power systems. Due to the optimal operation of power systems through multi - stage coordinated operation , this paper proposes a multi - stage coordinated active frequency response (CAFR) control strategy based on three lines of defense for frequency stability of power systems , aiming at safety and economic coordination. In the prevention control stage , the regulation capacity is reserved by purchasing the frequency regulation capacity in advance ; In the emergency control stage , the frequency response spatial -temporal characteristics are utilized to enhance the frequency regulation capability of the system through feedforward active control; In the correction control stage , penalty items are set to avoid affecting system safety and triggering under frequency load shedding (UFLS)。 Both numerical example analysis and simulation verification show that the proposed active frequency response(AFR) control strategy for AC/DC hybrid power systems based on three lines of defense coordination is superior to the passive frequency response (PFR) mode in terms of security , and is more superior to the single stage operation control in terms of economy, with significant improvement in overall control effectiveness.
  • WANG Jian, SUN Yufeng, WANG Jieyan
    Journal of Northeast Electric Power University. 2025, 45(4): 97-107. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0097-11
    With the high penetration of photovoltaic ( PV) systems into distribution networks, the randomness andvolatility of PV output have made power flow in the grid more complex and variable.The random variation in activepower output of PV systems under constant power factor control also leads to random changes in reactive power outputCurrently, reactive power/voltage partitioning results based on line reactive power flow are subject to frequent changesdue to the variability of reactive power flow,causing continuous changes in partitioning results and frequent switchingof some nodes between partitions, which degrades voltage control performance.'This paper proposes a stable reactivpower/ voltage partitioning method based on probabilistic statistical distance to define a new electrical distance. Firstthe Gaussian Mixture Model ( GMM) is used to characterize the stochastic features of PV active power output , and thereactive power output characteristics are derived based on the power factor, "Then , probabilistic power flow calculation isperformed using the Monte Carlo Simulation ( MCS) method to obtain the random distribution of node voltages in thedistribution network.Subsequently, the Earth Mover's Distance ( EMlD) is applied to define the statistical distancebetween nodes based on the obtained voltage distributions ,and a new electrical distance is defined by combining nodevoltage sensitivity. Finally , the Affinity Propagation ( AP) clustering algorithm and dnamic reactive power reserveconstraints are used to obtain the partitioning, results. Simulation results based on the lEEE 33- node systemdemonstrate that the proposed partitioning method exhibits good eflectiveness and stability in scenarios with high PVpenetration ,effectively addressing the challenges posed by frequent power flow variations.
  • WANG Yijun, LU Ziheng, HE Yuzhe, ZHANG Jinming
    Journal of Northeast Electric Power University. 2025, 45(4): 108-120. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0108-13
    Although the electricity carbon emission factor can elfectively reveal the carbon potential across differenttimes of the day, encouraging the shifting of flexible electric load usage to achieve peak shaving, valley filling, andpower absorption, it lacks sullicient stimulation for the bi- directional conversion flexibility of electric - heatsubstitutable loads.Based on this , this paper proposes an economic and low-carbon dispatch strategy for communityintegrated energy systems guided by electricity-heat carbon emission factors.In the first stage the economic dispatch olthe community integrated energy system is conducted to determine the type and output of energy-supplying equipmentat each time interval.based on which the daily peak-valey trends of electricity and heat carbon emission factors arecalculated.In the second stage ,homogeneous load time-sequence optimization is carried out according to the trends oleach carbon emission factor , while heterogeneous load energy type optimization is performed based on the differencesbetween electricity and heat carbon emission factors.'The case study demonstrates that the proposed strategy can furtheiexploit the flexibility of electric -heat substitutable loads, improving economic efficiency, and offering advantages inpromoting power absorption , reducing carbon emissions , and alleviating transformer overload.
  • YAN Gangui, WANG Boyan, WANG Mingwei
    Journal of Northeast Electric Power University. 2025, 45(4): 86-96. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0086-11
     Building Regional Integrated Energy Systems ( RlES) is an ellective way to cope with the high proportion ofrenewable energy interconnection. However, the eiciency of RlES scheduling scheme is easily alfected by theuncertainty of source load and the variable operating conditions of different energy conversion equipment.In this papera random optimization operation method is proposed. Firstly,the Dynamic Energy Hub ( DEH) model is created, theequipment model and objective function are established ,and the RlES optimization scheduling method considering theequipment's variable operating conditions is proposed. Secondly , the source load uncertainty is characterized by K.means clustering method, and the typical system operation scenario is obtained. Finally, combined with the DEHmodel, the optimal scheduling scheme and the capacity configuration results of each energy conversion equipment aredetermined.'The optimization results show that the proposed method can rationally dispatch multiple types of energy inthe regional integrated energy system, improve the operating economy of the system and the absorption capacity ofrenewable energy ,and reduce carbon emissions
  • LIU Qichao, ZHANG Shibo, ZHOU Yunlong, ZHANG Gang
    Journal of Northeast Electric Power University. 2025, 45(4): 33-41. https://doi.org/10.19718/j.issn.1005-2992.2025-04-0033-09
    Floating nuclear power platforms are frequently in movement under the action of waves.The internal gas-liquid two-phase flow characteristics change under the influence of the motion.The accurate prediction of void fraction in gas-liquid two-phase flow under fluctuating vibration is of great significance to the safe and stable operation of floating nuclear power platforms.The void fraction of gas-liquid two-phase flow in a horizontal tube under fluctuating vibrations was measured for different tube diameters,vibration frequencies,and amplitudes.The void fraction was predicted using a BP neural network.The BP neural network was optimized using whale optimisation algorithm based on chaotic mapping and adaptive weights (CA-WOA-BP)。The results show that the BP neural network is more effective in predicting the void fraction of gas-liquid two-phase flow in a horizontal pipe under fluctuating vibration.The optimisation algorithm can further improve its prediction accuracy and stability.The accuracy is increased to 91%.Meanwhile,a comparison of the prediction results with the existing correlation formula was made.It is found that the optimised BP neural network has smaller prediction error and better applicability to the prediction under fluctuating vibration.It provides an effective method for the prediction of the gas content rate under this condition.
  • XIE Jiabing, NI Defu
    Journal of Northeast Electric Power University. 2025, 45(4): 42-52. https://doi.org/10.19718/j.issn.1005-2992.2025-04-0042-11
    In response to the lack of analysis on the dynamic response characteristics and grid construction ability of PEMFC as a low-carbon emergency power generation unit,this paper conducts modeling and simulation analysis of grid-forming PEMFC emergency power generation units.Establish static and dynamic response models for PEMFC with thermal management system,and propose a cascaded grid-forming inverter grid control strategy.Based on MATLAB/ SIMULINK,a simulation model of a 150kW grid-forming PEMFC power generation unit was constructed.Through island mode and system load change scenarios,the characteristics of the grid-forming PEMFC emergency power supply providing damping and inertia for the system were verified,improving system stability and adapting to the needs of various complex scenarios.
  • PAN Chao , Xu Yancheng, Tang Hua , Dong Tao , Zhang Jing
    Journal of Northeast Electric Power University. 2025, 45(4): 63-73. https://doi.org/10.19718 / j.issn.1005-2992.2025-04-0063-12
    Aiming at the operation characteristics of the electricity-gas-heat heterogeneous energy flow system undelextreme weather in Shandong, an effective risk collaborative defense strategy is formulated.The energy flow couplingdevice is used to realize the interaction of heterogeneous energy flow,and the flexible resources such as controllableindustrial load and mobile energy storage unit are excavated.Considering the relationship between supply and demandthe risk resistance strategy is proposed ,the evaluation index of imbalance degree is constructed and the types of riskscenarios are divided,the risk resistance scheme is formulated ,and the auxiliary decision-making system is formed byusing the carbon flow description of risk scenarios.Based on the comprehensive benelits of economic operation cost,fexible regulation and control ability ,safety and stability and risk carbon emission,a colaborative resistance operationmodel is built. Finally, a regional system in Shandong Province is taken as the simulation object to analyze thecomprehensive benelits of the system 's coordinated resistance to different degrees of supply and demand imbalanceand the low-carbon efect of the system 's coordinated resistance is deseribed by carbon flow.The results show that theuse of energy flow coupling, devices and flexible resources can effectively improve the system ’s ability to resist riskinterference ,and the risk resistance scheme is conducive to improving the imbalance between supply and demand of the system, which verifies the rationality and feasibility of the collaborative resistance operation model based on risk resistance strategy.

  • XIAO Bai, LIU Jiatao, YANG Shiwei
    Journal of Northeast Electric Power University. 2025, 45(4): 18-25. https://doi.org/10.19718/ j.issn.1005-2992.2025-04-0018-09
    Evaluation of Electricity Price Package Based on IFAHP-CRITIC Combination Weighting Method and Improved TOPSIS In order to evaluate complex and diverse electricity pricing packages more reasonably and promote the development of electricity pricing packages to adapt to the changes in China's electricity market,a method based on Intuitionistic Fuzzy Analytic Hierarchy Process (IFAHP)and Criterion Importance Through Intercriteria Correlation (CRITIC)considering the needs of multiple parties in the electricity market is proposed The electricity price package evaluation method is based on the combination weighting method and the improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)。Firstly,determine the package evaluation indicators from a market perspective;Then,subjective and objective weights were assigned to each indicator using the IFAHP weighting method and CRITIC objective weighting method,respectively,and the comprehensive weights of each indicator were determined using Nash equilibrium;Finally,based on Grey Relational Analysis (GRA),TOPSIS is improved and the GRA Euclidean distance measure is used to evaluate the package.The calculation results show that this method can accurately and scientifically complete the evaluation of electricity price packages.
  • YAN Gangui, HUANG Kaiqi, LV Shuaishuai, WANG Yupeng, LAN Haitao, KONG Fangiang, ZHAO Lei
    Journal of Northeast Electric Power University. 2025, 45(6): 1-8. https://doi.org/10.19718/i.issn.1005-2992.2025-06-0001-08
    The immediate charging mode of electric vehicle battery swap stations can easily exacerbate the peak-valley difference in grid load and the imbalance in the utilization of battery energy storage resources,thereby restricting the economic operation of the swap stations and the security of the grid.To address this issue,this paper constructs a mixed-integer linear programming model with the objective of minimizing the cost of charging and purchasing electricity,while considering the constraints of battery state coordination and resource balance.It also proposes a battery charging optimization strategy based on dynamic time windows and battery collaborative management.Through the dynamic time window mechanism,the charging tasks are temporally and spatially shifted,and combined with battery state collaborative management,the overall charging load distribution is optimized while meeting the users' battery swap demands,reducing the cost of purchasing electricity and enhancing the security of the grid.Compared with the rapid response of the immediate charging mode,this strategy focuses more on system-level resource balance, providing a feasible solution for large-scale battery swap stations to participate in power demand response.Taking an actual battery swap station in a certain area as the verification object,the load regulation effect and comprehensive benefits of different time window lengths were evaluated.The results show that this strategy significantly improves load balance and reduces the cost of charging and purchasing electricity.In addition,through sensitivity analysis,the intluence laws of key parameters on system performance were revealed,providing a practical optimization method and decision support for large-scale battery swap stations to participate in power demand response,which is of great significance for promoting the coordinated development of the electric vehicle industry and the grid.
  • YU Na, JIANG Yeyu, HUANG Dawei
    Journal of Northeast Electric Power University. 2025, 45(6): 9-17. https://doi.org/10.19718/j.issn.1005-2992.2025-06-0009-09
    Aiming at the simulation problem of electric vehicle charging load in time and space distribution,this paper proposes a simulation method of electric vehicle charging load based on geographic information and multi-level trip chain.By establishing a regional road network model and dividing functional blocks,the vehicle movement trajectory is combined with road information to construct a complete mobile chain model of travel starting point-multi-destination stay-return path'.The path planning algorithm is used to simulate the user's daily travel mode,and the space-time simulation model of charging demand is constructed.The results show that this method can effectively simulate the charging load change trend of different regional types and urban functional areas,and accurately identify the electricity consumption characteristics of residential areas,work areas and other scenes.Compared with the traditional single trip chain model,the multi trip chain model constructed in this paper can more accurately simulate the spatial and temporal distribution characteristics of electric vehicle charging load.
  • LI Longhui, AN Jun, ZHANG Rongxi, ZHAO Jule
    Journal of Northeast Electric Power University. 2025, 45(6): 82-90. https://doi.org/10.19718/j.issn.1005-2992.2025-06-0082-09
    In the high-proportion renewable energy (High Proportion Renewable Energy, HPRE) power system, thermal power units are largely replaced, and the contradiction between supply and demand of system daily regulation capacity is becoming increasingly prominent. Configuring multi-time scale regulation resources on demand can effectively alleviate the above contradiction. However, the strong uncertainty and volatility brought by large-scale wind power and photovoltaic access make it difficult to evaluate the daily regulation capacity requirements of the system. In this paper, a multi-time scale assessment method for daily regulation capacity demand is proposed for HPRE power system. Firstly, based on the perspective of 'adjustable' matching 'non-adjustable' intra-day power balance, a scenario set generation method is proposed to describe the uncertainty of non-adjustable power through Gaussian mixture model (Gaussian Mixture Model, GMM) and K-means clustering. Secondly, according to the hourly fluctuation characteristics of daily non-adjustable power, a multi-time scale evaluation system of daily regulation capacity demand is established. Then, a multi-time scale decoupling evaluation model of daily regulation capacity demand based on Haar wavelet coefficient is constructed by quantifying demand intensity with regulation power and regulation electricity as indicators. Finally, the example results show that the proposed method can provide some reference for the planning and allocation of multi-time scale adjustment resources.
  • LI Xue, YAN Jiabo
    Journal of Northeast Electric Power University. 2025, 45(6): 60-72. https://doi.org/10.19718/j.issn.1005-2992.2025-06-0060-13
    In response to the issue of large-scale failures in power grids with a high proportion of new energy caused by severe sandstorms and the rapid recovery after a significant decline in the output of new energy units, this paper proposes a collaborative optimization method for line fault repair and new energy unit cleaning aimed at enhancing the resilience of transmission networks. Firstly, a high-proportion new energy grid model incorporating concentrated solar power plants and energy storage systems is constructed, which can effectively characterize the dynamic changes in the output power of concentrated solar power plants and energy storage after load variations. Then, the impact of severe sandstorm weather on new energy output and transmission line faults is quantitatively characterized. Further considering factors such as system grid strength and source-load imbalance, a post-disaster transmission line repair and unit cleaning sequence model is proposed with the objective function of maximizing system load recovery. Finally, the effectiveness of the proposed method is verified through an improved IEEE-30 node system, demonstrating that the proposed resilience enhancement strategy can accelerate system recovery, reduce system load loss, and achieve resilience enhancement in power grids with a high proportion of new energy.