Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm

被引：24

作者：

Chen, SL ^{[1
]}

Tsay, MT ^{[1
]}

Gow, HJ ^{[1
]}

机构：

[1] Cheng Shiu Univ, Dept Elect Engn, Kaohsiung 833, Taiwan

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2005年 / 27卷 / 01期

关键词：

immune algorithm; cogeneration plants; deregulated market;

D O I：

10.1016/j.ijepes.2004.07.008

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：

A new method based on immune algorithm (IA) is presented to solve the scheduling of cogeneration plants in a deregulated market. The objective function includes fuel cost, population cost, and electricity wheeling cost, subjective to the use of mixed fuels, operational limits, emissions constraints, and transmission line flow constraints. Enhanced immune algorithm (EIA) is proposed by an improved crossover and mutation mechanism with a competition and auto-adjust scheme to avoid prematurity. Table lists with heuristic rules are also employed in the searching process to enhance the performance. EIA is also compared with the original IA. Test results verify that EIA can offer an efficient way for cogeneration plants to solve the problem of economic dispatch, environmental protection, and electricity wheeling. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：31 / 38

页数：8

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