Optimal sizing of a stand-alone hybrid power system via particle swarm optimization (PSO)

In this paper a novel intelligent method is applied to the problem of sizing in a hybrid power system such that the demand of residential area is provided. The system consist of fuel cells, some wind units, an electrolyzer, a reformer, a compressor, an anaerobic reactor and a hydrogen tank. The syst...

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Bibliographic Details
Published in:	2007 International Power Engineering Conference (IPEC 2007) pp. 960 - 965
Main Authors:	Tafreshi, S.M.M., Hakimi, S.M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2007
Subjects:	anaerobic reactor Costs fuel cell Hybrid power systems optimal sizing Particle swarm optimization Power engineering Power generation renewable energy wind turbine
Online Access:	Get full text
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Summary:	In this paper a novel intelligent method is applied to the problem of sizing in a hybrid power system such that the demand of residential area is provided. The system consist of fuel cells, some wind units, an electrolyzer, a reformer, a compressor, an anaerobic reactor and a hydrogen tank. The system is assumed to be stand-alone and uses the municipal waste as an available energy resource. PSO algorithm is used for optimal sizing of system's components.
ISBN:	9810594232 9789810594237
ISSN:	1947-1262 1947-1270