Economic environmental dispatch using multi-objective differential evolution

被引：347

作者：

Basu, M. ^{[1
]}

机构：

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

来源：

APPLIED SOFT COMPUTING | 2011年 / 11卷 / 02期

关键词：

Economic environmental dispatch; Multi-objective optimization; Multi-objective differential evolution; SWARM OPTIMIZATION ALGORITHM; EMISSION LOAD DISPATCH; POWER DISPATCH; GLOBAL OPTIMIZATION; PROGRAMMING TECHNIQUES; SEARCH TECHNIQUE; SYSTEM;

D O I：

10.1016/j.asoc.2010.11.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

Economic environmental dispatch (EED) is an important optimization task in fossil fuel fired power plant operation for allocating generation among the committed units such that fuel cost and emission level are optimized simultaneously while satisfying all operational constraints. It is a highly constrained multiobjective optimization problem involving conflicting objectives with both equality and inequality constraints. In this paper, multi-objective differential evolution has been proposed to solve EED problem. Numerical results of three test systems demonstrate the capabilities of the proposed approach. Results obtained from the proposed approach have been compared to those obtained from pareto differential evolution, nondominated sorting genetic algorithm-II and strength pareto evolutionary algorithm 2. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：2845 / 2853

页数：9

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