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Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant
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Jiale HE  Member, CPSS1, Chao JIANG1, Zhenglong SUN1, Levron YOASH2
Journal of Power Supply | 2026, 24(2) : 178 - 187
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Journal of Power Supply | 2026, 24(2): 178-187
• Power Electronic Dominated Power Systems •
Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant
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Jiale HE  Member, CPSS1, Chao JIANG1, Zhenglong SUN1, Levron YOASH2
Affiliations
  • 1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China
  • 2.The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion (Israel Institute of Technology), Haifa 3200003, Israel
Published: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.178
Outline
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The goal of avirtual power plant (VPP) is to aggregate and use a large number of distributed generations (DGs) with tiny capacities. A load frequency control (LFC) model for the secondary frequency regulation of thermal power units is constructed with the time-segmented participation of a VPP that aggregates energy storage, electric vehicles and wind turbines, and a kind of centralized automatic generation control strategy with VPP is proposed. The frequency modulation model for aggregated resources in the VPP is analyzed, the constraints on each frequency modulation link are taken into account, and the minimization of frequency modulation costs and area control erroris taken as an objective. Meanwhile, model predictive control is used to optimize the allocation of power output from DGs within the VPP. The proposed LFC model for a two-region power system is simulated using MATLAB/Simulink, and the frequency error and power deviation of the tie line are compared before and after the VPP takes part in the system frequency modulation. According to the simulation results, it is found that the multi-region LFC with participation of VPP can reduce frequency disturbances and power deviation of the tie line brought by power fluctuations, and the proposed control strategy can achieve the optimal allocation of active output. Comparison with the conventional PID regulation, this strategy also has better control outcomes.

Virtual power plant (VPP)  /  load frequency control (LFC)  /  distributed generation (DG)  /  model predictive control
何家乐中国电源学会会员, 姜超, 孙正龙, Levron YOASH. 含虚拟电厂的互联电力系统负荷频率预测控制. 电源学报, 2026 , 24 (2) : 178 -187 . DOI: 10.13234/j.issn.2095-2805.2026.2.178
Jiale HE, Chao JIANG, Zhenglong SUN, Levron YOASH. Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant[J]. Journal of Power Supply, 2026 , 24 (2) : 178 -187 . DOI: 10.13234/j.issn.2095-2805.2026.2.178
  • International Science and Technology Cooperation Project of Jilin Province(20230402074GH)
Year 2026 volume 24 Issue 2
26
3
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.2.178
  • Receive Date:2023-04-06
  • Online Date:2026-10-29
  • Published:2026-02-28
Article Data
Affiliations
History
  • Received:2023-04-06
  • Revised:2023-05-27
  • Accepted:2023-07-17
Funding
International Science and Technology Cooperation Project of Jilin Province(20230402074GH)
Affiliations
    1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China
    2.The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion (Israel Institute of Technology), Haifa 3200003, Israel
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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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