Modern heuristic techniques for scheduling generator maintenance in power systems

被引：10

作者：

Dahal, KP ^{[1
]}

McDonald, JR ^{[1
]}

Burt, GM ^{[1
]}

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, Ctr Elect Power Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2000年 / 22卷 / 02期

关键词：

generator maintenance scheduling; genetic algorithm; power systems; simulated annealing;

D O I：

10.1177/014233120002200204

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper considers the problem of generator maintenance scheduling (GMS) in power systems. The applications of computer-based modern heuristic solutions, namely simulated annealing (SA) and genetic algorithm (GA), are proposed in order to overcome some of the limitations of conventional solution methods. A test problem is formulated as an integer programming problem using a reliability-based objective function and typical problem constraints. The implementation and performance of the solution techniques are discussed. The results obtained demonstrate that these techniques are effective methods for solving GMS problems.

引用

页码：179 / 194

页数：16

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