摘要
合理优化电动汽车(EV)的充放电过程,为电网提供辅助服务。文中构建了EV参与削峰填谷的市场机制,提出响应的补偿机制;建立了计及市场电价不确定性的聚合商多目标区间调度模型;引入ε约束将原多目标优化模型转化为单目标确定性模型,得到各利润偏差下的Pareto解,进一步构建模糊满意度函数,综合满意度最高的Pareto解即为模型最优解。算例分析结果表明:在所建立的市场机制下,聚合商可根据市场需求,与电力公司实现良好地双向互动;运用多目标区间方法求解后,可实现模型经济性与鲁棒性的均衡,进一步验证了调度策略的可行性、有效性。
Reasonable optimization of the charging and discharging process of electric vehicles can provide auxiliary services for the power grid.The market mechanism of EV participation in peak-load shifting is constructed,and the compensation mechanism of response is proposed in this paper.The multi-objective interval scheduling model of aggregator considering the uncertainty of market electricity price is established.The original multi-objective optimization model is transformed into single target by introducingεconstraint.The Pareto solution under each profit deviation is obtained,and the fuzzy satisfaction function is further constructed.The Pareto solution with the highest comprehensive satisfaction is the optimal solution.The results of the example analysis show that under the established market mechanism,the aggregator can achieve good two-way interaction with the power company according to market demand.After solving the multi-objective interval,the equilibrium between the economy and robustness can be realized,and the feasibility and effectiveness of the scheduling strategy are further verified.
作者
陈海瑞
米增强
贾雨龙
申皓
Chen Hairui;Mi Zengqiang;Jia Yulong;Shen Hao(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Baoding 071003,Hebei,China)
出处
《电测与仪表》
北大核心
2021年第12期24-30,共7页
Electrical Measurement & Instrumentation
基金
国家重点研发计划资助项目(2018YFE0122200)
国家电网有限公司科技项目(KJGW2018-014)
中央高校基本科研业务费专项资金资助项目(2018QN075)。
关键词
聚合商
电价
不确定性
多目标
区间调度
aggregator
electricity price
uncertainty
multi-objective
interval scheduling
