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Economic dispatch strategy for distribution networks considering the frequency regulation characteristics of electric vehicle battery swapping stations and the source-load correlation
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Xizheng Zhao1, Nan Yang1, Jia Li1, Jingping Wang1, Huang Huang1, Weiqi Pan1, Shengqi Zhang2
Renewable Energy Resources | 2025, 43(12) : 1680 - 1689
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Renewable Energy Resources | 2025, 43(12): 1680-1689
Economic dispatch strategy for distribution networks considering the frequency regulation characteristics of electric vehicle battery swapping stations and the source-load correlation
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Xizheng Zhao1, Nan Yang1, Jia Li1, Jingping Wang1, Huang Huang1, Weiqi Pan1, Shengqi Zhang2
Affiliations
  • 1.State Grid Jiangsu Electric Power Co., Ltd. Nanjing Power Supply Branch, Nanjing 210000, China
  • 2.School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China
Published: 2025-12-20
Outline
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To address the power fluctuations in the distribution network caused by the integration of distributed new energy, this article proposes an economic dispatch strategy for the distribution network that considers the frequency regulation capability and source load correlation of electric vehicle battery swapping stations (BSS). This strategy aims to minimize the total system cost, coordinate and schedule frequency modulation resources including BSS, and constrain BSS charging and discharging behavior while maintaining power balance. Firstly, a frequency modulation signal prediction model is constructed: a long short-term memory neural network is used to predict new energy and load power, and the Copula function is used to characterize their correlation, deriving the conditional probability distribution of the frequency modulation signal. Secondly, a prediction driven economic dispatch method based on source load correlation is proposed: Wasserstein distance is used to process the predicted data and construct a fuzzy set, combined with distribution robust optimization and opportunity constraints to establish an economic dispatch model considering the cost of secondary frequency modulation; Further transform the opportunity constraint through conditional value at risk (CVaR) approximation, and use Wasserstein duality to transform the model into a linear programming problem for solution. The simulation results show that the proposed strategy is economically superior to traditional methods.

EV battery swap station  /  neural network  /  Copula function  /  distributed robust optimization  /  secondary frequency modulation control
赵锡正, 杨楠, 李佳, 王静萍, 黄璜, 潘炜琪, 张圣祺. 考虑电动汽车换电站调频特性及源-荷相关性的配网经济调度策略. 可再生能源, 2025 , 43 (12) : 1680 -1689 .
Xizheng Zhao, Nan Yang, Jia Li, Jingping Wang, Huang Huang, Weiqi Pan, Shengqi Zhang. Economic dispatch strategy for distribution networks considering the frequency regulation characteristics of electric vehicle battery swapping stations and the source-load correlation[J]. Renewable Energy Resources, 2025 , 43 (12) : 1680 -1689 .
Year 2025 volume 43 Issue 12
89
27
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  • Receive Date:2025-03-25
  • Online Date:2026-09-23
  • Published:2025-12-20
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  • Received:2025-03-25
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Affiliations
    1.State Grid Jiangsu Electric Power Co., Ltd. Nanjing Power Supply Branch, Nanjing 210000, China
    2.School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China
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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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