Improved Particle Swarm Optimization for Non-convex optimal power flow

被引：0
|
作者：
Xia Shiwei [1 ]
Bai Xuefeng [1 ]
Guo Zhizhong [1 ]
Xu Ying
机构：
[1] Harbin Inst Technol, Dept Elect Engn, Harbin 150006, Peoples R China
来源：
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词：
Dynamical weight; Improved particle swarm optimization; Non-convex; Optimal power flow; ECONOMIC-DISPATCH; OPF;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper firstly proposes an improved particle swarm optimization (IPSO) by dynamically adjusting inertia weight, cognitive weight and social weight to strengthen the local and global search capability. Then the IPSO is applied for the non-convex optimal power flow (OPF) of the IEEE 6-genetor 30-bus system and New England 10-generator 39-bus system. All results verify the good convergence and global optimal performance of IPSO to solve the multi-minimum non-convex OPF problem in power system.
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页数：5
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