平衡电网压力与安全的充电站选址优化算法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI:10.1109/CISCE58541.2023.10142788

Bokai Li, Wei Quan, Dongdong Ma, Junwei Xin, Jing Ning

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引用次数: 0

摘要

合理的充电站布局不仅可以缓解电动汽车充电难题，还可以平衡电网压力，保证用电安全。本文采用麻雀搜索算法(SSA)对充电站选址过程进行优化，得到合适的充电站选址结果。这样既能满足客户的需求，又能降低充电站的建设成本，对电力系统的负面影响最小。实验结果表明，与遗传算法(GA)和蛾焰优化算法(MFO)相比，该算法具有最佳的全局搜索能力和最快的收敛速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Optimization Algorithm of Charging Station Siting to Balance Pressure & Safety of Power Grid

A reasonable charging station layout can not only alleviate the difficult problem of electric vehicle (EV) charging, but also balance the grid pressure and ensure the safety of electricity consumption. In this paper, the sparrow search algorithm (SSA) is used to optimize the charging station siting process and obtain suitable charging station siting results. This can meet the needs of customers, lower the cost of building charging stations, and have the least negative effects on the electrical system. The experiment results show the SSA has the best capacity to search globally and the fastest convergence speed compared with the genetic algorithm (GA) and moth-flame optimization algorithm (MFO).

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来源期刊

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)

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