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Optimal online charging of plug-in electric vehicles considering voltage unbalance factor

机译:考虑电压不平衡因素的插电式电动汽车最优在线充电

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The worldwide application and grid-to-vehicle charging of plug-in electric vehicles (PEVs) are expected to tremendously grow within the next few years. Uncoordinated PEV charging in low voltage (LV) distribution networks can lead to local grid problems such as overloading of transformers and voltage unbalances. A potential solution and key challenge for PEV integration is the smart shifting of charging activities to off-peak periods. This paper investigates the impacts of single-phase PEV charging at residential houses on the three-phase distribution network. It proposes online coordinated PEV charging using a genetic algorithm (GA) to minimize the overall voltage unbalance factor (VUF) by controlling the time of charging considering voltage constraints. The impacts of uncoordinated and GA coordinated PEV charging on VUF and voltage profiles will be simulated for a real Western Australian distribution network in the Perth solar city.
机译:预计在未来几年中,插入式电动汽车(PEV)的全球应用和并网充电将大大增长。低压(LV)配电网络中PEV充电不协调会导致局部电网问题,例如变压器过载和电压不平衡。 PEV集成的潜在解决方案和关键挑战是将充电活动智能地转移到非高峰时段。本文研究了住宅中单相PEV充电对三相配电网的影响。它提出了一种使用遗传算法(GA)的在线协调式PEV充电,以通过考虑电压约束来控制充电时间,从而将总电压不平衡因数(VUF)降至最低。将针对珀斯太阳能城中一个真正的西澳大利亚州配电网络,模拟不协调和GA协调的PEV充电对VUF和电压曲线的影响。

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