28 February 2025, Volume 45 Issue 1
    

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  • Comprehensive Review on Artificial Intelligence based Planning and Scheduling for Mobile Energy Storage Systems
    YANG Bo, LUO Zhibiao, HU Yuanweiji
    Journal of Northeast Electric Power University. 2025, 45(1): 1-11. https://doi.org/10.19718/i.issn.1005-2992.2025-01-0001-11
    Abstract ( ) Knowledge map Save
    With the rapid development of mobile energy storage systems （MESS），their importance in power system dynamic response,renewable energy integration,and emergency power supply has become increasingly prominent.However,challenges such as multi-objective resource allocation,path optimization under transportation-grid coupling constraints,and planning-scheduling coordination remain unresolved.Traditional methods struggle to address these issues due to computational complexity and insufficient dynamic adaptability.In contrast,artificial intelligence （AI）algorithms,leveraging data-driven technologies like reinforcement learning （RL）and graph neural networks （GNN）， have achieved breakthroughs in dynamic scheduling,collaborative optimization,and security-economy trade-offs.This paper systematically analyzes AI applications in MESS planning and scheduling,summarizes the advantages of deep reinforcement learning （DRL）in uncertainty decision-making and swarm intelligence （SI）algorithms in distributed coordination,and identifies research gaps in battery state of charge （SOC）modeling and cross-domain collaborative scheduling.Furthermore,an AI-empowered innovative framework for MESS planning and scheduling is proposed, offering theoretical foundations and practical pathways to enhance the resilience,economy,and low-carbon transition of power systems.
  • Operation and Planning of Energy Storage System under Frequency Response Service Market:The UK Perspective
    FAN Fulin, WANG Ziyi , LU Xinming WANG Ke, WANG Yu, JIANG Jinhai, SUN Chuanyu, XUE Rui, SONG Kai
    Journal of Northeast Electric Power University. 2025, 45(1): 12-21. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0012-10
    Abstract ( ) Knowledge map Save
    Battery energy storage systems （BESS）with bidirectional fast response capabilities can provide dynamic frequency responses to electricity grids,alleviating imbalances caused by fluctuating renewable power outputs.In order to ensure the economic effectiveness of BESS participating in frequency response services,it is necessary to reasonably optimise BESS capacity configurations together with operating strategies.From the perspective of the UK's Dynamic Moderation frequency response service market,this paper develops a closer-to-real-time energy management for BESS through dynamic adjustment of operational baselines so as to ensure that BESS comply with the market's State of Energy Management Rules （SoEMRs）and have sufficient energy footroom and headroom to completely cope with low-and high-frequency events.Furthermore,the techno-economic operation of BESS throughout its service life is simulated and translated into an equivalent annual annuity which is maximised to determine the best BESS capacities and operating strategy variables.Simulation results show that the optimised BESS can fully respond to all the frequency events and follow the SoEMRs for the majority of the time.The paper provides deep insights into the energy storage-friendly frequency response service markets in the UK that protects the benefits of energy-limited participants,which have reference significance and practical values for the development of ancillary service markets and the operation of BESS in China.
  • Analysis of the Role,Realization and Research Prospects of Transient Damping in Grid-Forming Virtual Synchronous Generator
    SHI Rongliang, LI Junming, DONG Zheng, LI Junhui, ZHANG Xing
    Journal of Northeast Electric Power University. 2025, 45(1): 22-34. https://doi.org/10.19718/i.issn.1005-2992.2025-01-0022-13
    Abstract ( ) Knowledge map Save
    Grid-forming virtual synchronous generator （GFVSG）has certain virtual inertia and virtual damping support capabilities by introducing the rotor motion equation of synchronous generators,but it inevitably introduces active-power dynamic oscillation problems into the GFVSG grid-connected parallel systems.As one of the important improvement measures to effectively solve the active-power dynamic oscillation problems existing in the GFVSG grid-connected/parallel systems,transient damping methods have recently attracted widespread attention and have achieved rich theoretical research as well as practical application results.This paper analyzes the working principle and main role of transient damping methods in GFVSG control,summarizes the typical implementation methods and research status of transient damping methods,and analyzes,summarizes,and discusses the research prospects,possible challenges may be faced,and key technical problems that need to be overcome in the future of transient damping methods.
  • Uncertainty Power Supply-Demand Balancing Research Considering Allocation of Carbon Emission Rights Based on Data Envelopment Analysis
    CHEN Yirui, LI Jinghua, ZHOU Shuang, LI bol, LI Junhui
    Journal of Northeast Electric Power University. 2025, 45(1): 35-44. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0035-11
    Abstract ( ) Knowledge map Save
    As an effective mechanism to achieve China's dual carbon goals,the impact of carbon emission rights allocation has become a crucial factor that needs to be considered in power quantity balancing.To address the issue of ineffective allocation of carbon emission rights resources under existing methods in the power industry,this study proposes an uncertainty power quantity balancing model under a carbon emission rights allocation scheme based on data envelopment analysis.Firstly,an analysis of carbon emission rights allocation policies is conducted,and a carbon emission rights allocation method based on data envelopment analysis is proposed.Secondly,considering the uncertainty introduced by the high proportion of renewable energy grid integration,a power quantity balancing model that incorporates carbon emission rights allocation is developed.The model is transformed into a solvable deterministic model using robust optimization methods based on multi-segment interval uncertainty sets.Finally,simulation results on the HRP-38 system demonstrate that the carbon emission rights allocation method based on data envelopment analysis can reduce carbon emission costs and effectively allocate carbon emission rights resources.This research provides technical support for formulating carbon emission rights allocation schemes in power quantity balancing analysis.
  • DC Fault Ride-through for Wind Power Integration via MMC-HVDC based on Optimal Control of Energy Storage inside the Wind Farm
    GUO Yuhang, SUN Yinfeng, LIANG Dong
    Journal of Northeast Electric Power University. 2025, 45(1): 45-53. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0045-09
    Abstract ( ) Knowledge map Save
    Because the scheme of energy storage unit inside the wind turbine has the advantages of flexibility and controllability,it is widely used in the field of fault ride through.However,the difference of energy storage unit is not considered in the previous analysis,which may cause power imbalance during the fault period and endanger the safe and stable operation of the system.To address this issue,a permanent DC fault ride-through coordinated control strategy based on precise control of wind farm energy storage is proposed.Firstly,the structure of the system,the energy storage control strategy,and the configuration of energy storage capacity are explained.Then,considering that one pole of the bipolar MMC-HVDC system still has the ability to operate normally when the other polar exits,the fault is divided into self-absorption and non-self-absorption cases according to the size of the unbalanced power.In the case of self-absorption,the unbalanced power is transferred to non-fault poles.In the case of non-self-absorption,the unbalanced power is precisely distributed to the internal energy storage units of the wind turbines based on the different State of Charge （SOC）levels.This ensures power balance in the system while reducing the differences between energy storage units.The capacity constraint of the energy storage units is addressed by the stepwise cut-off method,which ensures that the power balance is maintained when an internal energy storage unit is removed from operation.Finally,the effectiveness of the proposed fault ride-through scheme is verified through model simulation using the PSCAD/EMTDC platform.
  • Optimal Operation of Integrated Energy Systems Based on Improved Energy Storage and Carbon Capture Models
    CHU Zhuang ZHOU Chi SUN Shaowen
    Journal of Northeast Electric Power University. 2025, 45(1): 54-63. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0054-10
    Abstract ( ) Knowledge map Save
    In the context of dual carbon,technologies such as Carbon Capture and Storage （CCS）and Power-to-Gas（P2G）are the key to realizing low-carbon economic operation of the Integrated Energy System （IES）。important means.In order to take into account the low-carbonization and economic benefits of IES,this paper proposes a low-carbon IES optimal dispatch model including CCS-P2G.First,at the technical level,IES combines a carbon capture power plant with a solution storage and a two-stage power-to-gas device,and analyzes the linear relationship between carbon dioxide mass and solution volume and CCS operating energy consumption and total output to further simplify the CCS model.At the same time,the conventional hydrogen storage tank model is improved,reducing the computational burden required.Secondly,at the market mechanism level,the paper introduces a carbon trading mechanism and a wind power trading mechanism.Finally,an optimal scheduling strategy based on minimizing the total operating cost of IES as the objective function is proposed.Different scenarios were set up for comparative analysis to verify the effectiveness of the scheduling plan.
  • Grid Forming Active Support Control Strategy for Photovoltaic and Energy Storage Based on the Third Order Model of Synchronous Generator
    NING Feng, LIU Chuang, CHEN Junrui
    Journal of Northeast Electric Power University. 2025, 45(1): 64-72. https://doi.org/10.19718/i.issn.1005-2992.2025-01-0064-09
    Abstract ( ) Knowledge map Save
    In the context of carbon peaking and carbon neutrality,various industries in China are flourishing and their dependence on energy is increasing.New clean energy is gradually replacing fossil energy with its clean and pollution-
    free advantages.However,due to the power fluctuation and intermittency of new energy photovoltaic power generation, and generally working at maximum power,it is unable to provide or absorb additional energy to respond to grid frequency events.At the same time,a large number of new energy and power electronic equipment are connected to the grid,leading to a sharp decline in the system's anti-interference ability.Therefore,in order to solve the above problems,this article uses energy storage devices to suppress the power fluctuations of photovoltaic power generation, improve the utilization rate of solar power generation,and improve the traditional second-order synchronous machine control of inverters.A first-order transient voltage control is introduced to simulate the third-order model of synchronous machines,and a joint active support control strategy for photovoltaic energy storage is proposed to provide better voltage frequency support for the power grid.The superiority of active support for photovoltaic energy storage is verified through simulation.
  • Optimal Capacity Configuration of Grid-side Energy Storage System Considering Equivalent Life Loss and Multi-Dimensional Benefits
    XU Zongxin, CUI Yang, YUE Fei, LI Jiayu
    Journal of Northeast Electric Power University. 2025, 45(1): 73-82. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0073-10
    Abstract ( ) Knowledge map Save
    The configuration of energy storage power station on the grid side can effectively increase the peak shaving capacity of the system and the amount of wind and light consumption.However,the investment cost of electrochemical energy storage power station is high.How to reasonably configure the energy storage capacity is an important basis for improving efficiency and expanding application scenarios.From the perspective of the grid side,this paper proposes an optimal configuration method of energy storage capacity considering equivalent life loss and multi-dimensional benefits.Firstly,the life parameters of energy storage battery are analyzed,and the equivalent life loss model of energy storage is established to increase the adaptability of the model to the real scene.Secondly,the annual cost function of system operation cost and energy storage investment operation and maintenance is quantitatively calculated.At the same time,the income of peak-valley price difference of energy storage on the grid side,the income of auxiliary peak regulation and the income of delaying equipment transformation are taken into account.Finally,the constraint relationship between the equivalent life loss and the energy storage operation strategy is embedded into the model to solve the optimal configuration capacity of the energy storage side and the optimal charging and discharging operation strategy of the energy storage battery.The simulation results show that the model can effectively improve the economy of energy storage power station in the application scenario of this paper.
  • Control Strategy of the Variable Coefficient Wind-Storage Combined System Participating in Power System Primary Frequency Regulation Based on the Rotor Speed and the State of Charge 
    LI Weiguo, LIANG Zhihao
    Journal of Northeast Electric Power University. 2025, 45(1): 83-94. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0083-12
    Abstract ( ) Knowledge map Save
    With the increase of wind power penetration rate,the response ability of doubly-fed wind turbines to grid frequency gradually weakens,which has a huge impact on the frequency stability of the system.The independent frequency regulation capability of the doubly-fed wind turbines is currently insufficient to meet the frequency deviation requirements of the system,and it will result in high wind power permeability and low energy utilization rate.Therefore, energy storage equipment will be installed on the grid side of the doubly-fed wind turbines to form a wind storage joint system to participate in the primary frequency regulation of the system.In the article,a variable coefficient wind storage joint system based on the rotor speed and state of charge （SOC）is proposed to participate in the primary frequency regulation control strategy by utilizing the rotor kinetic energy of the wind turbine and the output of the energy storage equipment to jointly undertake the primary frequency regulation power demand.The doubly-fed wind turbine responds to the virtual inertia link by releasing or absorbing its own rotor kinetic energy,and dynamically adjusts the virtual inertia coefficient through its own rotor speed,andthe energy storage device dynamically adjusts the virtual droop coefficient based on its own state of charge to participate in the frequency response droop process.Finally,by building a simulation model to compare the frequency modulation effects of variable coefficient method,fixed coefficient method, and wind power independent frequency modulation under step load disturbance and continuous load disturbance,it is verified that the control strategy in the article can effectively reduce system frequency deviation.At the same time,the doubly-fed wind turbine can fully utilize its inherent rotor kinetic energy,and the energy storage equipment can also output smoothly,alleviating its overcharging and discharging problems,andimprove its service life.
  • Attention-LSTM Based on Nuclear Principal Component Analysis Ultra-Short-Term Forecast of Wind Power
    HUANG Yafeng, HAO Jianfeng, SUN Boyan, HUANG Jiuhong, DONG Shuo, SUN Jiaqing
    Journal of Northeast Electric Power University. 2025, 45(1): 95-103. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0095-09
    Abstract ( ) Knowledge map Save
    The accuracy of wind power prediction has a significant impact on the operation of the power system.This paper proposes a wind power ultra short term prediction method based on kernel principal component analysis combined with attention mechanism using short-term and short-term memory neural networks.This method performs kernel principal component analysis to reduce the dimensionality of all features in the wind farm dataset.And the Attention mechanism is introduced,using LSTM to allocate more attention to feature elements that have a significant impact on the power at the prediction time,in order to achieve more accurate prediction results.The experimental results show that the proposed prediction model can effectively achieve ultra short term prediction of wind power,and has higher prediction accuracy compared to traditional BP neural networks and LSTM networks.
  • Assessment Method of Triggered Lightning Ability of Multi-Wind Turbines Based on Inception Mechanism of Blade Lightning Upward Leader 
    LEI Yuhang, YAN Changle, SHENG Zhiyao
    Journal of Northeast Electric Power University. 2025, 45(1): 104-112. https://doi.org/10.19718/i.issn.1005-2992.2025-01-0104-09
    Abstract ( ) Knowledge map Save
    Based on the inception mechanism of lightning upward leader from wind turbine blade,the critical inception height （CIH）is defined.Around obtained CIH and proportion of CIH,an assessment method of triggered lightning ability of multi-wind turbines based on CIH is proposed.Physical simulation model of lightning strike of wind turbine is established,the assessment method of triggered lightning ability of multi-wind turbines was applied to assess the ability of multi-wind turbines under different numbers,sizes,and thundercloud heights.The research shows that proposal of relevant assessment method provides important support for exploring triggered lightning ability of multi-wind turbines.Under different numbers and sizes of wind turbines,compared to single wind turbine,triggered lightning ability of multi-wind turbines shows a weakening trend.When height of thundercloud drops to a certain value,triggered lightning ability of multi-wind turbines will be stronger than that of single wind turbine when height of thunderclouds is higher.In addition,in scenario of multi-wind turbines,a decrease in number of wind turbines or an increase in size of wind turbines will lead to an enhancement in triggered lightning capability of multi-wind turbine.At the same time, lower height of thunderclouds is,greater enhancement of triggered lightning ability of multi-wind turbines is.The relevant conclusions will provide theoretical support and necessary reference for assessment of triggered lightning ability of multi-wind turbines under different conditions.
  • Research on Leakage Detection Technology for Steam Distribution Pipeline Systems in Thermal Power Plants
    XUE Shuai, CHEN Le, XIN Shengwei, WANG Jie, CHANG Song, LI Rongzheng, LI Jinglan, YANG Di, YU Xingi
    Journal of Northeast Electric Power University. 2025, 45(1): 113-120. https://doi.org/10.19718/j.issn.1005-2992.2025-01-0113-08
    Abstract ( ) Knowledge map Save
    The pipeline transportation system in thermal power plants is a critical infrastructure for the conveyance of liquids or gases,and the safety of the system's pipelines is of paramount importance.This paper,in conjunction with the current state of research both domestically and internationally,provides a comprehensive review of the hardware and software methods for detecting leaks in energy supply pipelines.Hardware methods for pipeline leak detection rely on sensor measurements,which are suitable for detecting small flow leaks but are costly and cannot provide continuous monitoring.Software methods for pipeline leak detection utilize computer analysis,which are more cost-effective, capable of rapid leak detection,but require a substantial amount of historical data and real-time sensor data.This paper also summarizes and analyzes the technical limitations of various pipeline leak detection methods and provides an outlook on future research directions.To enhance the efficiency and accuracy of leak detection,it is necessary to integrate multiple technical methods.Furthermore,the development of leak detection technology should be directed towards integration,intelligence,and automation,improving the stability of real-time data transmission and the precision of computational accuracy.
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