Combined heat and power economic emission dispatch using nondominated sorting genetic algorithm-II

被引：89

作者：

Basu, M. ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2013年 / 53卷

关键词：

Cogeneration; Combined heat and power economic emission dispatch; Nondominated sorting genetic algorithm-II; PARTICLE SWARM OPTIMIZATION; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; SEARCH ALGORITHM;

D O I：

10.1016/j.ijepes.2013.04.014

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

This paper presents nondominated sorting genetic algorithm-II for solving combined heat and power economic emission dispatch problem. The problem is formulated as a nonlinear constrained multi-objective optimization problem. Nondominated sorting genetic algorithm-II is proposed to handle economic emission dispatch as a true multi-objective optimization problem with competing and noncommensurable objectives. The proposed algorithm is illustrated for two test systems and the test results are compared with those obtained from strength pareto evolutionary algorithm 2. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：135 / 141

页数：7

共 21 条

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Multiobjective evolutionary algorithms for electric power dispatch problem [J].