Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)

Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units have been determined to optimize three different o...

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Veröffentlicht in:	Energies (Basel) Jg. 13; H. 15; S. 3847
Hauptverfasser:	Hemeida, Mahmoud G., Alkhalaf, Salem, Mohamed, Al-Attar A., Ibrahim, Abdalla Ahmed, Senjyu, Tomonobu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2020
Schlagworte:	Alternative energy Costs Fractals Fuel cells Generators Genetic algorithms Heuristic Industrial plant emissions Load manta ray foraging optimization algorithm multi-objective function optimal power flow Optimization algorithms Optimization techniques Power plants Profit maximization radial networks Renewable resources Turbines
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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