Quantum-behaved particle swarm optimization with Cauchy disturbance for power economic dispatch

被引：2
作者：
Xu, Lei [1 ]
Zhang, Lan [2 ]
Dang, Jie [1 ]
机构：
[1] Xian Aeronaut Ploytech Inst, Dept Aeronaut Mat, Xian, Shaanxi, Peoples R China
[2] Xian Aeronaut Ploytech Inst, Dept Bas, Xian, Shaanxi, Peoples R China
来源：
2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2 | 2012年
关键词：
quantum-behaved particle swarm optimization; economic dispatch; Cauchy disturbance; penalty functions;
D O I：
10.1109/IHMSC.2012.160
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a modified quantum behaved particle swarm optimization for power economic dispatch with several equality and inequality constraints. Inspired by the quantum behaved particle swarm optimization method and Cauchy distribution, which has the characteristics of long wings, we introduce the quantum-behaved particle swarm optimization with Cauchy disturbances to perturb the average position. The novel method is good for avoiding algorithm premature. And then we hand constraints with penalty functions to solve economic dispatch problem of power system. Then we apply this algorithm on the 15 units system, the simulation results are presented to show the comparative performance of these methods.
引用
收藏
页码：268 / 271
页数：4
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