摘要
建立了分布式电源(Distributed Generator,DG)多目标多约束的优化数学模型,以配电网有功损耗费用最小、分布式电源运行费用最小和系统有功网损最小作为目标函数,考虑功率平衡、电压越限等约束条件,采用线性加权的方式将多目标转化为单目标,并采用量子粒子群算法实现了上述目标的优化.通过对IEEE33节点系统仿真结果表明,合理优化DG的位置和容量可有效降低系统的经济费用,提高配电网的优化经济运行.
A distributed generator （Distributed Generator, DG） multi-objective 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 objective functions for the power balance. More restrictions and other constraints, using a weighted linear multi-objective manner, were taken as a single target, and the use of quantum particle swarm optimization helped to achieve the above objectives. 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 economic operation.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第10期89-96,共8页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(61102039
51577046)
国家重点基础研究发展计划(973计划)资助项目(2012CB215106)
湖南省自然科学基金资助项目(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~~
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
distributed generation（DG）
multi-objective optimization
quantum particle swarm optimi- zation（QPSO）
location and capacity
costs
net loss
