An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants

This paper presents an interactive fuzzy satisfying method based on Hybrid Modified Honey Bee Mating Optimization (HMHBMO). Its purpose is to solve the Multi-objective Optimal Operation Management (MOOM) problem which can be affected by Fuel cell power plants (FCPPs). Minimizing total electrical ene...

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Vydáno v:	Energy (Oxford) Ročník 36; číslo 1; s. 119 - 132
Hlavní autoři:	Niknam, Taher, Meymand, Hamed Zeinoddini, Mojarrad, Hasan Doagou
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 2011 Elsevier
Témata:	air pollution algorithms Applied sciences electric power electricity Energy energy costs Energy. Thermal use of fuels Exact sciences and technology Fuel Cell Power Plant (FCPP) fuel cells Hybrid Modified Honey Bee Mating Optimization (HMHBMO) Installations for energy generation and conversion: thermal and electrical energy Interactive fuzzy satisfying method methodology Multi-objective Optimal Operation Management (MOOM) Multi-objective optimization new methods Other installations: mhd power plants, fuel cell plants, incineration plants, etc power plants Multi-objective Optimal Operation Management (MOOM) Multi-objective optimization Interactive fuzzy satisfying method Fuel Cell Power Plant (FCPP) Hybrid Modified Honey Bee Mating Optimization (HMHBMO)
ISSN:	0360-5442
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