电力系统自动化2017，Vol.41Issue(9)：51-57,199,8.DOI:10.7500/AEPS20160805001
考虑相关性的分布式电源多目标规划方法
Multi-objective Planning Method of Distributed Generators Considering Correlations
摘要
Abstract
A multi-objective distributed generation (DG) planning model based on the chance constrained programming theory is established, whose objective functions are minimizing the annual comprehensive cost and system risk, and the constraints are the correlation restrictions, the DG investment restrictions and various electrical restrictions.The model can take into account the correlations among the uncertainties.The non-dominant sorting genetic algorithm together with correlation-handled distribution network probabilistic power flow, are applied to solve the model and get the Pareto optimal solution sets for the policy-maker to choose.Case studies are carried out on IEEE 33-bus distribution network and a practical 61-bus distribution network, with emphasis on the effects of correlations on the planning results.关键词
配电网/分布式电源/相关性/机会约束规划/非支配排序遗传算法Key words
distribution network/distributed generation/correlation/chance constrained programming/non-dominant sorting genetic algorithm引用本文复制引用
李珂,邰能灵,张沈习,陈曦..考虑相关性的分布式电源多目标规划方法[J].电力系统自动化,2017,41(9):51-57,199,8.基金项目
教育部科学技术研究项目(113023A).This work is supported by the China Ministry of Education of Science and Technology Research Projects (No.113023A). （113023A）
