Abstract：This paper proposed an optimal strategy for coordinated operation of large scale Electric vehicles(EVs) charging and discharging with Wind-Thermal system. Different from conventional works, the proposed cooperation modelis more practical, specially pays attention to EV users' costs while doing power commitments schedule on thermal plants, wind farms, and EV aggregators.The objective of the optimal model is to obtain the best compromised solution between generating cost, CO2 emission, wind curtailment and EV users'cost. An improved non-dominated sorting genetic algorithm(NSGA-II) and a weighted multi-scale method are put forward to solve the multi-object optimal problem by achieving their Pareto frontier. Finally the optimal scheduling scheme is obtained and which is most suitable for the actual power system.Simulation calculation is carried out on the proposed multi-objective optimization scheduling method.The optimization strategy can be used to obtain the optimal strategy between the thermal, wind power and electric vehicle output power.According to the actual situation, the proposed scheme can effectively reduce the operation cost of power grid within the region of user cost of electric vehicles, wind power generation and the amount of air carbon emissions.
刘东奇, 王耀南, 袁小芳. 电动汽车充放电与风力/火力发电系统的协同优化运行[J]. 电工技术学报, 2017, 32(3): 18-26.
Liu Dongqi, Wang Yaonan, Yuan Xiaofang. Cooperative Dispatch of Large-Scale Electric Vehicles with Wind-Thermal Power Generating System. Transactions of China Electrotechnical Society, 2017, 32(3): 18-26.
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