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25 September 2023 Research on peak-shaving of electric vehicle auxiliary power grid considering electric vehicle charging and discharging parameters
Song Zhao, Qian Zhang, Ronghua Du, Shaojia Dang, Rongli Li, Hongyan Huo, Lei Zhou, Haicun Yu, Xu Li, Wei Zhao, Xiaogang Xin, Guobin Zhang, Ruijun Guo, Jianhua Yin, Chengguo Qin, Qiuping Li
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Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127884K (2023) https://doi.org/10.1117/12.3004399
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia
Abstract
Electric vehicles can serve as energy storage. The energy storage system is composed of multiple mobile electric vehicle energy storage units. Compared with other peak shaving methods, electric vehicles participate in the power grid mainly has the advantages of considerable capacity, fast response, high efficiency, and low investment. Using spare electric vehicles to feedback electric energy to the grid during peak power consumption can reduce the load fluctuation. Based on the study of electric vehicles as energy storage auxiliary power grid peak shaving, this paper fully considers the charging and discharging parameters of electric vehicles, and establishes a control model based on power grid peak shaving participated by the electric vehicles. Take a certain type of EV as an example to study this paper. Simulated annealing algorithm (SA), differential evolution algorithm (DE) and immune algorithm (IA) are used to simulate and solve the model respectively. Combined with the analysis of the actual operating load data of a local power grid, the peak-valley difference of the auxiliary power grid can be significantly reduced after considering the charging and discharging parameters of electric vehicles, The validity of the model and the selection of the best algorithm are verified.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Song Zhao, Qian Zhang, Ronghua Du, Shaojia Dang, Rongli Li, Hongyan Huo, Lei Zhou, Haicun Yu, Xu Li, Wei Zhao, Xiaogang Xin, Guobin Zhang, Ruijun Guo, Jianhua Yin, Chengguo Qin, and Qiuping Li "Research on peak-shaving of electric vehicle auxiliary power grid considering electric vehicle charging and discharging parameters", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127884K (25 September 2023); https://doi.org/10.1117/12.3004399
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KEYWORDS
Power grids
Batteries
Data modeling
Mathematical optimization
Turbines
Algorithms
Lithium
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