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针对可入网电动汽车和风电出力随机性对电力系统运行状态的影响,综合考虑电动汽车在无控充电、持续充电、延迟充电和完全优化充电模式下的运行特点,并结合系统运行的约束条件构建了风电?电动汽车协同调度多目标优化模型。然后,提出了基于改进?约束方法与模糊决策理论的两步制自适应模型求解方法,得到隶属度最优的系统运行方案。最后,以IEEE36节点10机系统进行算例仿真并对电动汽车并网数量进行敏感性分析,结果表明:所提方法在求解风电?电动汽车协同调度问题时具有可行性和有效性;电网汽车在完全优化充电模式下并网具有更好的削峰填谷效果,能够为风电提供更多的备用服务,降低弃风电量;随着电动汽车并网数量的增加,风电弃风电量和火电发电成本均逐渐降低。
In view of the impact of grid-connected EVs and wind power output randomness on the operation of power system, the operation characteristics of EVs in uncontrolled charging, continuous charging, delayed charging and fully optimized charging modes are comprehensively considered and combined with the constraints of system operation Multi-objective Optimization Model for Wind Power and Electric Vehicle Scheduling. Then, a two-step adaptive model solving method based on the improved constraint method and the fuzzy decision theory is proposed, and the system operation plan with the best membership degree is obtained. Finally, IEEE 40-bus system simulation is carried out with IEEE 36-bus system and sensitivity analysis is performed on the number of grid-connected vehicles. The results show that the proposed method is feasible and effective in solving the coordinated scheduling problem of wind power and electric vehicles. Fully optimized charging mode and the grid has a better peak load effect, can provide more standby power for wind power and reduce the amount of abandoned wind; with the increase in the number of electric vehicles and wind turbines, wind power generation and thermal power generation costs Are gradually reduced.