A hybrid HNN-QP approach for dynamic economic dispatch problem

被引：66

作者：

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

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

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

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

机构：

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

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2008年 / 78卷 / 10期

关键词：

dynamic economic dispatch (DED); Hopfield neural network (HNN); look-ahead capability; Ramp rates;

D O I：

10.1016/j.epsr.2008.03.011

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 introduces a Solution of the dynamic economic dispatch (DED) problem using a hybrid approach of Hopfield neural network (HNN) and quadratic programming (QP). The hybrid algorithm is based on using enhanced HNN; to solve the static part of the problem; the QP algorithm for solving the dynamic part of the DED. This technique guarantees the global optimality of the solution due to its look-ahead capability. The new algorithm is applied and tested to an example from the literature and the solution is then compared with that obtained by some other techniques to prove the superiority and effectiveness of the proposed algorithm. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1784 / 1788

页数：5

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