Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II

This paper presents nondominated sorting genetic algorithm-II for dynamic economic emission dispatch problem. This problem is formulated as a nonlinear constrained multi-objective optimization problem. Nondominated sorting genetic algorithm-II is proposed to handle dynamic economic emission dispatch...

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Bibliographic Details
Published inInternational journal of electrical power & energy systems Vol. 30; no. 2; pp. 140 - 149
Main Author Basu, M.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.02.2008
Elsevier
Subjects
Applied sciences
Dynamic economic dispatch
Dynamic economic emission dispatch
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Miscellaneous
Multi-objective optimization
Nondominated sorting genetic algorithm-II
Operation. Load control. Reliability
Power networks and lines
Real-coded genetic algorithm
Multi-objective optimization
Nondominated sorting genetic algorithm-II
Real-coded genetic algorithm
Dynamic economic dispatch
Dynamic economic emission dispatch
Performance evaluation
Dispatching problem
Pareto optimum
Optimization method
Multiobjective programming
Constrained optimization
Electrical network
Genetic algorithm
Optimal solution
Numerical simulation
Economic aspect
Economic impact
Comparative study
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Summary:This paper presents nondominated sorting genetic algorithm-II for dynamic economic emission dispatch problem. This problem is formulated as a nonlinear constrained multi-objective optimization problem. Nondominated sorting genetic algorithm-II is proposed to handle dynamic economic emission dispatch problem as a true multi-objective optimization problem with competing and noncommensurable objectives. The proposed approach has a good performance in finding a diverse set of solutions and in converging near the true pareto-optimal set. Numerical results for a sample test system have been presented to demonstrate the capabilities of the proposed approach to generate well-distributed pareto-optimal solutions of dynamic economic emission dispatch problem in one single run. The comparison with the classical technique demonstrates the superiority of the proposed algorithm.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2007.06.009