Abstract
Aiming at the problem of peak load increase in distribution network brought unorderly charging of large-scale EVs, a multi-objective optimal dispatch method for cluster electric vehicles connected to distribution network is put forward. By analyzing actual investigation data of electric vehicles in urban traffic report, the charging load needs of large-scale EVs is analyzed basing Monte Carlo simulation approach, and the optimization goal is optimized by optimizing the operating cost of distribution network. Considering the charging needs of EVs and the operation constraints, the optimal scheduling model of large-scale electric vehicles is constructed, and the multi-objective optimization model is solved by non-autonomous genetic algorithm (NSGA-II) with elite strategy. The proposed model and method can efficiently suppress the voltage fluctuation caused by the large-scale EV access to the distribution network,while ensuring the economic operation of the system and ensure the power quality of the system.
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Acknowledgements
The work was supported by State Grid Tianjin Electric Power Company Science and Technology Project (Project No.: KJ21-1-20).
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Qin, X., Liu, W., Jian, Z., Lei, L. (2023). Multi-objective Optimal Dispatch Method for Large-Scale Electric Vehicles Connected to Distribution Network. In: You, P., Li, H., Chen, Z. (eds) Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022). ICIVIS 2022. Lecture Notes in Electrical Engineering, vol 1019. Springer, Singapore. https://doi.org/10.1007/978-981-99-0923-0_100
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DOI: https://doi.org/10.1007/978-981-99-0923-0_100
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