基于粒子群优化技术的插电式电动汽车充电站布局优化

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI:10.1109/IEECON.2018.8712336

Kulsomsup Yenchamchalit, Y. Kongjeen, K. Bhumkittipich, N. Mithulananthan

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引用次数: 12

摘要

利用粒子群优化技术(PSO)，研究了电力系统中插电式电动汽车(pev)的最优电池充电站问题。使用电压源转换器(VSC)表示安装在充电站中的pev组。采用ieee30总线测试系统，对电力系统进行稳态分析。在电力系统中安装pev站点的目的是尽量减少系统的功率损耗。结果表明，最佳选址为N0.30总线。总功率损耗为0.0994 p.u.，功率损耗降低率为6.4%。

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Optimal Sizing and Location of the Charging Station for Plug-in Electric Vehicles Using the Particle Swarm Optimization Technique

This paper had presented the optimal battery charging station for Plug-in Electric Vehicles (PEVs) in the electrical power system, by using the Particle Swarm Optimization technique (PSO). The PEVs are represented using the Voltage Source Converter (VSC) as the group of PEVs that were installed in the charging station. The electrical power system was analyzed in a steady state, by using the IEEE 30 bus test system. The installed PEVs site in the power system aimed to minimize system power loss. The results were shown that the optimal site is bus N0.30. The total power loss and percentage of power loss reduction were 0.0994 p.u. and 6.4%, respectively.

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2018 International Electrical Engineering Congress (iEECON)

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