V2G模式下微网电动汽车有序充电策略研究

为了应对V2G(Vehicle-to-Grid)模式下大规模电动汽车接入给电网带来的诸多挑战,针对现有电动汽车调度策略对大规模电动汽车充放电需求考虑不足的问题,提出一种微电网电动汽车有序充电策略。调度策略可根据当前微电网负荷状态、电动汽车充电需求等实时数据,采用模糊控制算法优化安排电动汽车充电计划,满足电动汽车充电需求同时实现对电网的削峰填谷。利用该调度策略对某配电区域600辆电动汽车进行充电,并与传统即时充电策略进行比较分析。仿真结果表明,基于模糊控制算法的电动汽车有序充电策略能够有效避免大量电动汽车接入电网引起负荷尖峰的问题,为电网提供削峰填谷的服务,实现用户和电网的双赢。

Research on orderly charging strategy of micro-grid electric vehicles in V2G model

In order to cope with the challenges brought by the large-scale electric vehicle access to the grid under the Vehicle-to-Grid(V2 G) mode, and aiming at the consideration of the charging and discharging requirements of large-scale electric vehicles using the existing electric vehicle dispatching strategy is insufficient, an orderly charging strategy for micro-grid electric vehicles is introduced. The scheduling strategy uses the fuzzy control algorithm to optimize the charging plan according to the current micro-grid load status, electric vehicle charging demand and other real-time data, to meet the electric vehicle charging demand and achieve peak-load shifting of the power grid. 600 electric vehicles in a power distribution area are charged using the proposed dispatch strategy. After that, the strategy is compared and analyzed with the traditional instant charging strategy. The simulation results show that this strategy can effectively avoid the problem of load spike caused by a large number of electric vehicles connected to the power grid and provide services for the power grid peak-load shifting to achieve a win-win situation for users and the power grid.