A time-of-use price based multi-objective optimal dispatching for charging and discharging of electric vehicles

被引：0
作者：
Wei, Dajun [1 ]
Zhang, Chenghui [1 ]
Sun, Bo [1 ]
Cui, Naxin [1 ]
机构：
[1] School of Control Science and Engineering, Shandong University, Jinan, 250061, Shandong Province
来源：
Dianwang Jishu/Power System Technology | 2014年 / 38卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Charging and discharging dispatching; Cross inheritance particle swarm optimization; Multi-objective optimization; Time-of-use price; Vehicle-to-grid;
D O I：
10.13335/j.1000-3673.pst.2014.11.005
中图分类号：
学科分类号：
摘要：
The out-of-order charging of electric vehicles (EV) more likely cause the much higher peak load that seriously affects the secure operation of power grid, so it is of crucial importance to reasonably dispatch the behavior of EV charging. Based on the time-of-use (TOU) price mechanism and vehicle-to-grid (V2G) mode, a multi-objective optimization model for EV dispatching department, in which the load fluctuation in power grid and the user cost are taken into account, is established, this model is solved by cross inheritance particle swarm optimization to obtain the optimized charging and discharging scheduling for the next day. Taking the load data of a certain business building as the case, the simulation results under TOU price and that under fixed electricity price as well as the influences of different TOU price on scheduling strategy are contrasted and analyzed. Analysis results show that the TOU price-guided scheduling strategy possesses greater superiority in reducing the valley-to-peak difference of power grid and improving user's economy; due to the influences of increased valley-to-peak difference and peak load price, the effect of peak load regulation under new TOU price will be more obvious, however the user cost will be increased due to the rising of average electricity price. ©, 2014, Power System Technology Press. All right reserved.
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页码：2972 / 2977
页数：5
相关论文
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