Coordinated charging control for EV charging stations considering wind power accommodation

doi:10.19799/j.cnki.2095-4239.2020.0344

Abstract

Abstract:

The grafting yield must be kept in a proper range to obtain a satisfactory gating property of membranes. An optimization strategy for EV charging with wind power consumption in mind was proposed to make full use of wind power in EV charging stations and reduce the negative impact of charging load on the distribution system operation. First, a Monte Carlo simulation method is used to predict the charging load of different numbers of EV. Then, considering wind power output and on the basis of the electric car charge demand, according to the fluctuation of wind power, we dynamically adjusted the time-of-use (TOU) pricing to include the charging load of the distribution network and user charge. With the lowest minimum peak valley load difference as the control target, a coordinated charging model is set up, using an improved particle swarm optimization algorithm to solve the model. In addition, through the electric vehicle charging directly connected to the distribution network of uncoordinated situation comparison, the results show that the proposed strategy on the impact of power distribution network at the same time effectively reduce the charging behavior can directly promote the wind power given, improve the economic benefit of charging users.

Key words: electric vehicle, wind energy accommodation, Monte Carlo simulation, coordinated charging

CLC Number:

TM 73

Jundong DUAN, Gaoshang LI, Yishi LI, Ziheng FU, Hongye HUANG. Coordinated charging control for EV charging stations considering wind power accommodation[J]. Energy Storage Science and Technology, 2021, 10(2): 630-637.

Figures/Tables 13

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电价所属时段	具体时段	充电电价/元
高电价	4，5，6，7，8，11，12，13，14	1.28
平电价	3，10，15，16，17，18	0.8
低电价	1，2，9，19，20，21，22，23，24	0.32

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