Abstract
With the increasing penetration of electric vehicles (EVs) in distribution network (DN), it becomes crucial for distribution system operators (DSO) to determine how many EVs can be integrated into one node of DN. This paper presents a probabilistic method to evaluate distribution network EV hosting capacity based on Combined Cumulants and Gram-Charlier Expansion. First, the mathematical model of EV charging demand is established, and the Cumulants of EV and power load are derived based on Monte Carlo simulation. Then, stochastic power flow based on combined Cumulants and Gram–Charlier series expansion is used to analyze the DN EV hosting capacity. Finally, the methods are tested on IEEE 33-node DN, and the simulation results prove their validity and rapidity.
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