A genetic algorithm for generator scheduling in power systems

被引：45

作者：

Orero, SO

Irving, MR

机构：

[1] Brunel Institute of Power Systems, Dept. of Elec. Eng. and Electronics, Brunel University

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 1996年 / 18卷 / 01期

关键词：

generator scheduling; unit commitment; genetic algorithms;

D O I：

10.1016/0142-0615(94)00017-4

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a genetic algorithm based approach to the scheduling of generators in a power system. All the usual unit commitment constraints including vamp rates are consider ed. An enhanced genetic algorithm incorporating a sequential decomposition logic is used to provide a faster search mechanism. The main advantage of the genetic algorithm formulation is that fairly accurate results can be obtained with a very simple algorithm. The algorithm has been tested on a power system with 26 generators.

引用

页码：19 / 26

页数：8

共 23 条

[1]

ANTONISSE J, 1989, 3RD P INT C GEN ALG, P86

[2] SHORT-TERM SCHEDULING OF THERMAL-ELECTRIC GENERATORS USING LAGRANGIAN-RELAXATION [J].