Economic dispatch using an enhanced Hopfield neural network

被引：22

作者：

Abdelaziz, A. Y. ^{[1
]}

Mekhamer, S. F. ^{[1
]}

Badr, M. A. L. ^{[1
]}

Kamh, M. Z. ^{[1
]}

机构：

[1] Ain Shams Univ, Fac Engn, Dept Elect Power & Machines, Cairo, Egypt

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2008年 / 36卷 / 07期

关键词：

economic dispatch problem; Hopfield neural network; energy function; weighting factor; adaptive correction factor;

D O I：

10.1080/15325000701881969

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 article introduces some modifications to the conventional Hopfield neural network (HNN) to enhance its performance. A comprehensive study of the effect of the HNN parameters on the solution quality of the economic dispatch problem (EDP), as a case study, has been made. By investigating the describing curves, the best values for the HNN parameters are tuned. To further improve the solution quality, an adaptive correction factor is proposed and introduced to the EDP solution obtained by the HNN. To investigate the effect of the modifications on the solution quality of the EDP, three case studies are selected and solved. Comparisons of results are then made with others to prove the validity and effectiveness of the proposed modifications.

引用

页码：719 / 732

页数：14

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