Hybrid MHHO-DE Algorithm for Economic Emission Dispatch with Valve-Point Effect

Economic emission dispatch with valve-point effect in power systems is a complex multimodal, nonconvex and constrained multi-objective optimization problem. To solve this problem, a hybrid multi-objective algorithm with effective constraint handling method based on Harris hawks optimization and diff...

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Veröffentlicht in:Arabian journal for science and engineering (2011) Jg. 46; H. 10; S. 9399 - 9411
Hauptverfasser: Xia, Aiming, Wu, Xuedong, Bai, Yingjie
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2021
Springer Nature B.V
Schlagworte:
Algorithms
Archives & records
Constraints
Economics
Engineering
Evolutionary algorithms
Evolutionary computation
Humanities and Social Sciences
multidisciplinary
Multiple objective analysis
Optimization
Pareto optimization
Pareto optimum
Research Article-Electrical Engineering
Science
Hybrid multi-objective algorithm
Constraints handling
Multi-objective optimization
Economic emission dispatch
Valve-point effect
ISSN:2193-567X, 1319-8025, 2191-4281
Online-Zugang:Volltext
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Zusammenfassung:Economic emission dispatch with valve-point effect in power systems is a complex multimodal, nonconvex and constrained multi-objective optimization problem. To solve this problem, a hybrid multi-objective algorithm with effective constraint handling method based on Harris hawks optimization and differential evolution is proposed: (1) the concept of Pareto domination is integrated into Harris hawks optimization to deal with economic emission dispatch problem with two conflicting objectives; (2) the optimization mechanism of Harris hawks optimization is modified to enhance its optimization capabilities; (3) a non-dominated sorting method based on new crowding distance, which can obtain Pareto optimal front with excellent uniformity, is used to maintain the external archive and to select the guiders; (4) aiming at the constraints of economic emission dispatch problem, a feasible solution dominated constraint processing method is adopted to obtain feasible solutions; (5) moreover, to enhance the convergence performance of the algorithm, a differential evolution is used to evolve the individuals in the archive. Experimental results on the IEEE 30-bus 6-unit test system demonstrate that the quality of the solutions obtained by the suggested approach is better than that of several existing algorithms.
Bibliographie:ObjectType-Article-1
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ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-020-05308-6