电网技术Issue(11)：2972-2977,6.DOI:10.13335/j.1000-3673.pst.2014.11.005
基于分时电价的电动汽车充放电多目标优化调度
A Time-of-Use Price Based Multi-Objective Optimal Dispatching for Charging and Discharging of Electric Vehicles
摘要
Abstract
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.关键词
电动汽车-电网互动/充放电调度/分时电价/多目标优化/交叉遗传粒子群算法Key words
vehicle-to-grid/charging and discharging dispatching/time-of-use price/multi-objective optimization/cross inheritance particle swarm optimization分类
信息技术与安全科学引用本文复制引用
魏大钧,张承慧,孙波,崔纳新..基于分时电价的电动汽车充放电多目标优化调度[J].电网技术,2014,(11):2972-2977,6.基金项目
国家自然科学基金重点项目(61034007)；国家自然科学基金项目(61104034，61273097)；高等学校博士学科点专项科研基金(20120131130007)。 （61034007）
