微网下V2G技术经济性的分析与研究

Analysis and Research on Economy of V2G Technology under the Micro-Grid

随着微网系统的不断完善与发展,电动汽车作为可控负荷,逐步参与到了微网的联合调度中。利用蒙特卡罗模拟法对电动汽车无序接入微网的充电负荷进行计算,得到电动汽车无序接入后的负荷分布,验证电动汽车无序充电会对微网运行造成很大的压力,且成本较高。基于此,以一个办公场所内的微网系统为研究对象,提出了一个对电动汽车进行3层控制的充放电策略,建立了基于V2G模式的充放电模型。对所建模型采用一种变惯性权值的粒子群算法进行优化求解,使算法全局和局部搜索能力更强。通过得到各机组的组合出力情况,对整个办公场所的用电成本进行对比分析。结果表明,将电动汽车以V2G模式接入微网更具经济性。

With the development of the micro-grid system, the electric vehicle is gradually involved in the joint operation in micro-grid as a variable load. In this paper, the method of Monte Carlo simulation is used to calculate the charging load of the electric vehicle, and the loading distribution of the electric vehicle is obtained. And the calculation results show that the disordered charging of electric vehicles causes great pressure on the operation of the power grid and increases the cost. In order to solve this problem, a charging and discharging strategy is proposed for the three-layer control of electric vehicles, on the basis of the strategy, a charging and discharging model has been built based on V2G mode, and the particle swarm optimization algorithm is used to solve the model. The results show that the access of electric vehicles to micro-grid in V2G mode is more economical.