摘要
为了解决已有配电系统规划中非线性潮流模型建模问题和不确定性优化效率问题,文中提出了基于双线性Benders分解的配电网扩展规划机会约束优化方法。通过在规划投资层面和运行优化层面进行分阶段,构建了两阶段随机混合整数二阶锥规划模型;为了避免极端场景下导致的高昂投资成本,进一步扩展了传统的Benders分解方法,设计了基于双线性Benders分解的机会约束优化方法。通过三个算例系统验证了所提方法具有强健的鲁棒性。
In order to solve the problem of nonlinear power flow model modeling and uncertainty optimization efficiency in existing distribution system planning,a chance-constrained optimization method for distribution network expansion planning based on bilinear Benders decomposition is proposed.A two-stage stochastic mixed integer second-order cone programming model is constructed by stages at the planning investment level and operation optimization level.In order to avoid the high investment cost caused by extreme scenarios,the traditional Benders decomposition method is further extended,and a chance-constrained optimization method based on bilinear Benders decomposition is designed.The strong robustness performance of the proposed method is verified by three examples.
作者
闫明文
刘惠颖
宫游
李兴刚
文茹馨
廖小兵
Yan Mingwen;Liu Huiying;Gong You;Li Xinggang;Wen Ruxin;Liao Xiaobing(Power Supply Service Center,State Grid Heilongjiang Electric Power Co.,Ltd.,Harbin 150000,China;School of Electrical and Information Engineering,Wuhan Institute of Technology,Wuhan 430205,China)
出处
《电测与仪表》
北大核心
2023年第1期124-131,共8页
Electrical Measurement & Instrumentation
基金
国家电网有限公司科技项目(5600-201936166A-0-0-00)。
关键词
配电网扩展规划
混合整数二阶锥规划
两阶段随机优化
机会约束
双线性Benders分解
distribution network expansion planning
mixed integer second-order cone programming
two-stage stochastic optimization
chance-constraints
bilinear Benders decomposition
