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Thermal-storage Combined Primary Frequency Regulation Control Strategy Considering Ultra-short-term Load Forecasting
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Haoyi SUN, Huiqun YU, Chenkun DU, Chunmei XU
Journal of Power Supply | 2026, 24(7) : 204 - 212
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Journal of Power Supply | 2026, 24(7): 204-212
• Power Electronic Dominated Power Systems •
Thermal-storage Combined Primary Frequency Regulation Control Strategy Considering Ultra-short-term Load Forecasting
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Haoyi SUN, Huiqun YU, Chenkun DU, Chunmei XU
Affiliations
  • College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Published: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.204
Outline
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In order to improve the stability and reliability of energy storage auxiliary thermal power units participating in primary frequency regulation, a control strategy for primary frequency regulation of energy storage auxiliary thermal power units considering ultra-short-term load prediction is proposed. The two-layer control strategy is divided into a load prediction layer and a primary frequency modulation layer. The load prediction layer uses a combination prediction model of graph convolutional network-bidirectional gated recurrent units (GCN-BiGRU) and improved temporal convolutional network (iTCN) to predict ultra-short-term load and obtain frequency modulation demand. The primary frequency modulation layer used an improved dragonfly algorithm to dynamically adjust the unit power of virtual droop control and virtual inertial control based on the frequency modulation requirements, with the goal of minimizing frequency deviation. Finally, a simulation model was built on the MATLAB platform to compare and analyze the frequency deviation data and the state of charge (SOC) curves of different control strategies under the working condition of continuous load perturbation, and verify that the control strategy proposed can effectively improve the effect of frequency modulation and maintain the state of charge to a certain extent.

Ultra-short-term load forecasting  /  energy storage  /  gated recurrent units  /  temporal convolutional networks  /  dragonfly algorithm (DA)  /  primary frequency control
孙浩益, 于会群, 杜辰坤, 徐春梅. 考虑超短期负荷预测的火储联合一次调频控制策略. 电源学报, 2026 , 24 (7) : 204 -212 . DOI: 10.13234/j.issn.2095-2805.2026.7.204
Haoyi SUN, Huiqun YU, Chenkun DU, Chunmei XU. Thermal-storage Combined Primary Frequency Regulation Control Strategy Considering Ultra-short-term Load Forecasting[J]. Journal of Power Supply, 2026 , 24 (7) : 204 -212 . DOI: 10.13234/j.issn.2095-2805.2026.7.204
Funding
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  • Science and Technology Project of State Grid Shanghai Electric Power Company(SGTYHT/23-JS-001)
Appendix
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Year 2026 volume 24 Issue 7
38
7
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.7.204
  • Receive Date：2024-09-11
  • Online Date：2026-10-29
  • Published：2026-07-30
Article Data
Affiliations
History
  • Received：2024-09-11
  • Revised：2024-12-02
  • Accepted：2024-12-06
Funding
Science and Technology Project of State Grid Shanghai Electric Power Company(SGTYHT/23-JS-001)
Affiliations
    College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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