Abstract
Abstract This paper performs a probabilistic load flow (PLF) analysis of photovoltaic (PV) generation system with electric vehicles (EVs). The randomness of power generated by PV and the randomness charging profiles of EVs is modeled. Different EV charging behaviors are involved, one is EV charging start time distribution driving by time of use (TOU) electricity tariff, the other is that EV charging power is dispatched for minimizing the minimum equivalent load. The well-established 3 point estimation method (3PEM) is employed to compute load flow variables’ statistic moments by deterministic load flow at 3 points selected from each random variable. Application of the PLF model proposed in this paper, in PG&E 69 bus distribution system with daily meteorological data of a city in China, is demonstrated. PV generation connected position is optimized. The results are analyzed for various EV charging scenarios.
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