Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets

This article presents a metaheuristic approach, the binary whale optimization algorithm (BWOA), to solve complex, constrained, non-convex, binary-nature profit-based unit commitment (PBUC) optimization problems of a price-taking generation company (GenCo) in the electricity market. To simulate the b...

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Veröffentlicht in:	Engineering optimization Jg. 51; H. 3; S. 369 - 389
Hauptverfasser:	Reddy K., Srikanth, Panwar, Lokesh, Panigrahi, B. K., Kumar, Rajesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 04.03.2019 Taylor & Francis Ltd
Schlagworte:	Algorithms Binary optimization binary whale optimization Computer simulation electricity market Electricity pricing Heuristic methods Markets meta-heuristic optimization Optimization Optimization algorithms Position (location) profit-based unit commitment System effectiveness Transfer functions Unit commitment
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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