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Article

Economic-Optimal Operation Strategy for Active Distribution Networks with Coordinated Scheduling of Electric Vehicle Clusters

1
State Grid Henan Electric Power Company, Zhengzhou 450018, China
2
State Grid Jiaozuo Electric Power Supply Company, Jiaozuo 454003, China
3
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(15), 3154; https://doi.org/10.3390/electronics14153154 (registering DOI)
Submission received: 30 June 2025 / Revised: 5 August 2025 / Accepted: 5 August 2025 / Published: 7 August 2025
(This article belongs to the Section Circuit and Signal Processing)

Abstract

With the continuous increase in the proportion of distributed energy output in the distribution network and the limited equipment on the management side of the active distribution network, it is very important to give full play to the regulating role of the dispatchable potential of large-scale electric vehicles for the economic operation of the distribution network. To deal with this issue, this paper proposes an optimal dispatching model of the distribution network considering the combination of the dispatchable potential of electric vehicle clusters and demand response. Firstly, the active distribution network dispatching model with the demand response is introduced, and the equipment involved in the active distribution network dispatching is modeled. Secondly, the bidirectional long short-term memory network algorithm is used to process the historical data of electric vehicles to reduce the uncertainty of the model. Then, the shared energy-storage characteristics based on the dispatchable potential of electric vehicle clusters are fully explored and the effect of peak shaving and valley filling after the demand response is fully explored. This approach significantly reduces the network loss and operating cost of the active distribution network. Finally, the modified IEEE-33 bus test system is utilized for test analysis in the case analysis, and the test results show that the established active distribution network model can reduce the early construction cost of the system’s energy-storage equipment, improve the energy-utilization efficiency, and realize the economic operation of the active distribution network.
Keywords: active distribution networks; demand response; electric vehicle; cluster schedulable potential; CNN-BiLSTM active distribution networks; demand response; electric vehicle; cluster schedulable potential; CNN-BiLSTM

Share and Cite

MDPI and ACS Style

Wang, G.; Lu, H.; Yang, X.; Li, H.; Song, X.; Rong, J.; Wang, Y. Economic-Optimal Operation Strategy for Active Distribution Networks with Coordinated Scheduling of Electric Vehicle Clusters. Electronics 2025, 14, 3154. https://doi.org/10.3390/electronics14153154

AMA Style

Wang G, Lu H, Yang X, Li H, Song X, Rong J, Wang Y. Economic-Optimal Operation Strategy for Active Distribution Networks with Coordinated Scheduling of Electric Vehicle Clusters. Electronics. 2025; 14(15):3154. https://doi.org/10.3390/electronics14153154

Chicago/Turabian Style

Wang, Guodong, Huayong Lu, Xiao Yang, Haiyang Li, Xiao Song, Jiapeng Rong, and Yi Wang. 2025. "Economic-Optimal Operation Strategy for Active Distribution Networks with Coordinated Scheduling of Electric Vehicle Clusters" Electronics 14, no. 15: 3154. https://doi.org/10.3390/electronics14153154

APA Style

Wang, G., Lu, H., Yang, X., Li, H., Song, X., Rong, J., & Wang, Y. (2025). Economic-Optimal Operation Strategy for Active Distribution Networks with Coordinated Scheduling of Electric Vehicle Clusters. Electronics, 14(15), 3154. https://doi.org/10.3390/electronics14153154

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