Solving Unit Commitment problem using Hybrid Particle Swarm Optimization

被引：49

作者：

Ting, TO ^{[1
]}

Rao, MVC ^{[1
]}

Loo, CK ^{[1
]}

Ngu, SS ^{[1
]}

机构：

[1] Multimedia Univ, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia

来源：

JOURNAL OF HEURISTICS | 2003年 / 9卷 / 06期

关键词：

Unit commitment; Hybrid Particle Swarm Optimization;

D O I：

10.1023/B:HEUR.0000012449.84567.1a

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 Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) problem. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the total objective function while satisfying all the associated constraints. Problem formulation, representation and the simulation results for a 10 generator-scheduling problem are presented. Results shown are acceptable at this early stage.

引用

页码：507 / 520

页数：14

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