考虑EV车主需求的风-火-储联合调度多目标优化策略

Multi-objective Optimization Strategy for Wind-fire-storage Joint Scheduling Considering the Needs of Electric Vehicle Owners

风电出力的波动性和电动汽车充放电的无序性增加了电力系统调度的负担,因此,电力系统在发电侧需考虑各资源的分配,用户侧需合理安排电动汽车有序参与电网调度。针对此问题,建立考虑电动汽车车主需求的风-火-储联合调度多目标优化模型。以净负荷方差、系统运行总成本和车主支付费用最低为目标,通过设立不同的分时电价引导车主参与电网调度。采用NAGA-Ⅱ算法和模糊层次分析法求得帕雷托解集中的最优解。结果表明:策略能够有效地减少系统净负荷方差、平抑系统波动,同时减少系统的总运行成本和车主的支付费用;不同的分时电价标准对于电动汽车参与调度的影响不同。

The fluctuation of wind power output and the disorderly charging and discharging of electric vehicles(EV)increase the burden of power system scheduling.Therefore,it is needed for the power system to consider the allocation of resources on the generation side,while it is needed on the user side to reasonably arrange for EV to participate in grid scheduling in an orderly manner.To address this issue,a multi-objective optimization model for wind-fire-storage joint scheduling considering the needs of EV owners was established.With the goal of minimizing net load variance,total system operation cost,and vehicle owner payment cost,the different time-of-use electricity prices were established to guide vehicle owners to participate in grid scheduling.The NAGA-Ⅱalgorithm and fuzzy analytic hierarchy process are applied to obtain the optimal solution in the Pareto solution set.The results show that the strategy can effectively reduce the variance of system net load,suppress system fluctuations,and reduce the total operation cost of the system and the payment fees of vehicle owners;however,different time-of-use electricity pricing standards have different impacts on the participation of electric vehicles in scheduling.