电力系统自动化2024，Vol.48Issue(7)：138-146,9.DOI:10.7500/AEPS20230830009
计及多重不确定性的规模化电动汽车接入配电网调度方法
Dispatching Method for Large-scale Electric Vehicles Connecting to Distribution Network Considering Multiple Uncertainties
摘要
Abstract
The escalating scale of electric vehicles (EVs) and renewable energy introduces uncertainties, posing severe challenges to the safe operation of distribution networks. In order to comprehensively consider multiple uncertainties and balance the operation cost with the system reliability, firstly, an EV-distribution network charging and discharging dispatching model based on the distributionally robust joint chance constrainted model is proposed. This model effectively manages the overall system reliability by jointly constraining nodal voltages, branch power, and reserve demand. Then, to solve the model, the joint chance constraint problem is transformed into a mixed-integer quadratic programming model based on the optimized Bonferroni approximation method. Notably, the risk level is also treated as a decision variable. Subsequently, the effectiveness and scalability of the proposed model are verified across various power systems. The results demonstrate that the proposed model overcomes the problems of classical stochastic and robust optimization, effectively balancing cost and reliability with high computational efficiency and good scalability. The model achieves approximately a 6.5％ cost reduction compared to the Bonferroni approximation method.关键词
电动汽车/配电网/联合机会约束/分布鲁棒优化模型/最优Bonferroni近似方法/不确定性/风险管理Key words
electric vehicle(EV)/distribution network/joint chance constraint/distributionally robust optimal model/optimal Bonferroni approximation method/uncertainty/risk management引用本文复制引用
李金鹏,冯华,陈晓刚,章寒冰,占震滨,许银亮..计及多重不确定性的规模化电动汽车接入配电网调度方法[J].电力系统自动化,2024,48(7):138-146,9.基金项目
国家电网有限公司科技项目(5100-202219501A-3-0-SF).This work is supported by State Grid Corporation of China(No.5100-202219501A-3-0-SF). （5100-202219501A-3-0-SF）
