湖南大学学报（自然科学版）Issue(10)：89-96,8.
计及经济效益的分布式电源多目标优化规划∗
Multi-obj ective Optimization of Distributed Generation Considering Economic Benefits
摘要
Abstract
A distributed generator (Distributed Generator,DG)multi-obj ective optimization model was established to the distribution network.Minimum power loss cost,distributed power system operating costs and minimum active power loss minimum were taken as the obj ective functions for the power balance. More restrictions and other constraints,using a weighted linear multi-obj ective manner,were taken as a single target,and the use of quantum particle swarm optimization helped to achieve the above obj ectives. IEEE33 node system simulation results show that the optimization of the location and the capacity of DG can effectively reduce the economic costs of the system,improve the distribution network and optimize eco-nomic operation.关键词
分布式电源/多目标优化/量子粒子群算法/选址和定容/费用/网损Key words
distributed generation(DG)/multi-obj ective optimization/quantum particle swarm optimi-zation(QPSO)/location and capacity/costs/net loss分类
信息技术与安全科学引用本文复制引用
谭阳红,王伟..计及经济效益的分布式电源多目标优化规划∗[J].湖南大学学报（自然科学版）,2015,(10):89-96,8.基金项目
国家自然科学基金资助项目(61102039,51577046),National Natural Science Foundation of China(61102039,51577046) （61102039,51577046）
国家重点基础研究发展计划(973计划)资助项目(2012CB215106) （973计划）
湖南省自然科学基金资助项目(14JJ7029) （14JJ7029）
浙江省控制科学与工程重中之重一级学科开放基金资助项目 （）
