Dynamic Economic Dispatch Solution Using Fast Evolutionary Programming with Swarm Direction

被引：0

作者：

Gaing, Zwe-Lee ^{[1
]}

Ou, Ting-Chia ^{[2
]}

机构：

[1] Kao Yuan Univ, Dept Elect Engn, Kaohsiung 821, Taiwan

[2] Inst Nucl Energy Res, Atom Energy Council, Taoyuan, Taiwan

来源：

ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6 | 2009年

关键词：

dynamic economic dispatch; fast evolutionary programming; particle swarm optimization; prohibited operating zone;

D O I：

暂无

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 presented a fast evolutionary programming (FEP) with swarm direction for solving the dynamic economic dispatch (DED) problem in power systems. The proposed method employed the swarm directions to embed in fast evolutionary programming (SFEP) to enhance the performance of FEP algorithm. Many practical operating constraints of the generator, such as ramp rate limits and prohibited operating zone, are considered in solving the constrained DED problem. The feasibility of the proposed SFEP method is demonstrated for a 15-unit system, and it is compared with the other FEP-based methods in terms of solution quality and computation efficiency. The experimental results show that the proposed SFEP method was indeed capable of obtaining higher quality solutions efficiently in solving the non-convex DED problems.

引用

页码：1529 / +

页数：3

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