Hybrid Taguchi-Immune Algorithm for the thermal unit commitment

被引：24

作者：

Tsai, Ming-Tang ^{[1
]}

Gow, Hong-Jey ^{[2
]}

Lin, Whei-Min ^{[3
]}

机构：

[1] Cheng Shiu Univ, Dept Elect Engn, Kaohsiung, Taiwan

[2] Cheng Shiu Univ, Ctr Gen Educ, Kaohsiung, Taiwan

[3] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung, Taiwan

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2011年 / 33卷 / 04期

关键词：

Immune algorithm; Unit commitment; Taguchi method; Orthogonal arrays; Signal-to-noise ratio (SNR); GENETIC ALGORITHM; OPTIMIZATION; DESIGN;

D O I：

10.1016/j.ijepes.2011.01.025

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：

In this paper, a Hybrid Taguchi-Immune Algorithm (HTIA) is presented to deal with the unit commitment problem. HTIA integrates the Taguchi method and the Traditional Immune Algorithm (TIA), providing a powerful global exploration capability. The Taguchi method (TM) is incorporated in the crossover operations in order to select the better gene for achieving crossover consequently, enhancing the TIA. It has been widely used in experimental designs for problems with multiple parameters. The effectiveness and efficiency of HTIA are demonstrated by presenting several cases, and the results are compared with previous publications. Our results show that the proposed method is feasible, robust, and more effective than many other previously developed computation algorithms. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.

引用

页码：1062 / 1069

页数：8

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