Journal Article10.1016/J.IJEPES.2020.105967
Multiobjective ray optimization algorithm as a solution strategy for solving non-convex problems: A power generation scheduling case study
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TL;DR: A novel method has been presented in order to minimize production cost and emission of the steam power plants in short term periods and showed that the proposed method can be used in short-term decision making ofSteam power plants which will be absolutely effective in long-term emission target oriented strategies.
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About: This article is published in International Journal of Electrical Power & Energy Systems. The article was published on 01 Jul 2020. The article focuses on the topics: Multi-objective optimization & Optimization problem.
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Citations
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Olatunji Matthew Adeyanju,Luciane Neves Canha,Camilo Alberto Sepulveda Rangel,Josue Campos do Prado +3 more
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Decentralized multi-area multi-agent economic dispatch model using select meta-heuristic optimization algorithms
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Coordinated scheduling of energy storage systems as a fast reserve provider
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TL;DR: A new meta-heuristic method, so-called Ray Optimization, is developed, which has a number of particles consisting of the variables of the problem considered as rays of light based on the Snell's light refraction law.
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Environmental/economic power dispatch using multiobjective evolutionary algorithms
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Multiobjective evolutionary algorithms for electric power dispatch problem
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