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作 者:孙晓明[1] 王玮[1] 苏粟[1] 姜久春[1] 徐丽杰[1] 何宣虎[1]
机构地区:[1]北京交通大学电气工程学院,北京市100044
出 处:《电力系统自动化》2013年第1期191-195,共5页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(51277010);中央高校基本科研业务费专项资金资助项目(E12RC00020)~~
摘 要:文中以减小电网峰谷差作为主要目标,结合电网分时电价时段划分与局域配电网负荷波动情况,提出了电动汽车充电分时电价时段划分方法,并建立了以用户充电费用最小和电池起始充电时间最早为控制目标的数学模型。利用蒙特卡洛方法模拟电动汽车用户的充电行为,对比分析了电动汽车在无序充电和有序充电模式下的仿真结果,表明:通过电动汽车响应充电分时电价,能够有效减小峰谷差,并提高用户满意度。针对电动汽车用户对有序充电的不同响应系数,仿真计算了局域配电网的负荷曲线,结果表明:受充电分时电价影响的用户越多,对于抑制因电动汽车接入而引起的局域配电网负荷的波动越有利。Aimed at reducing the peak-valley ratio of power grids,a time-period dividing method is proposed for the time-of-use(TOU) charging price of electric vehicles based on a comparative analysis on time periods of TOU price in power grids and peak-valley time periods of local distribution networks.Based on the TOU charging price proposed,a mathematical optimization model is developed with two control objectives,minimizing the customer charging fee and advancing the charging time of battery as early as possible.With the charging performance of customers simulated by Monte Carlo analysis,uncoordinated and coordinated charging modes are compared according to simulation results.It is indicated that,by responding to the TOU charging price proposed,the peak-valley ratio of power grids can be reduced and the customer satisfaction index can be enhanced.At the same time,the load curves of the local distribution network for different customer response coefficients are simulated to show that the more the customers that are influenced by the charging price,the more favorable it will be to smoothing the load fluctuation.
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