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电动汽车等各类电力负荷因社会生产和生活规律而具有特定的变化规律,同时各种活动又具有很强的随机性,负荷也随机波动。通过分析典型馈线负荷曲线的变化规律和电动汽车负荷充放电的规律性与随机性,建立常规负荷和电动汽车充放电的动态随机模型。基于实际馈线负荷数据和蒙特卡洛法进行仿真分析,结果表明采用曲线拟合方法可获得负荷变化的基础函数模型,电动汽车的有序充放电可降低负荷的峰谷差。
Electric vehicles and other types of electricity load due to social production and life has a specific law of change, while a variety of activities have a strong randomness, the load is also random fluctuations. By analyzing the variation rule of typical feeder load curve and the regularity and randomness of electric vehicle charge and discharge, a dynamic stochastic model of charging and discharging for conventional load and electric vehicle is established. Based on the actual feeder load data and Monte Carlo method, the simulation results show that the curve fitting method can be used to obtain the basic function model of load changes. The sequential charging and discharging of EV can reduce the peak-to-valley difference of load.