DocumentCode :
2288443
Title :
Sizing a self-sustaining wind-Diesel power supply by Particle Swarm Optimization
Author :
Mushtaha, Mohammed ; Krost, Gerhard
Author_Institution :
Inst. of Electr. Power Syst., Univ. Duisburg-Essen, Duisburg, Germany
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
7
Abstract :
Hybrid wind-Diesel systems can be an attractive solution for the supply of remotely located consumers or the provision of enhanced energy independence in the Near-East region, especially in Gaza strip. Such stand-alone system contains a wind turbine, batteries as short term storage as well as hydrogen storage tanks as long term storage devices. The proposed system leads to a remarkable reduction in the fuel consumption, in comparison with Diesel only systems. For proper sizing of the particular system components under minimization of the Life Cycle Cost (LCC), the metaheuristic computational method of Particle Swarm Optimization (PSO) was successfully applied; this is exemplarily shown by the electricity supply of a hospital in Gaza strip where the energy requirements are fully met under regard of specific constraints and restrictions.
Keywords :
cells (electric); diesel-electric power stations; hybrid power systems; hydrogen storage; life cycle costing; particle swarm optimisation; wind power plants; wind turbines; Gaza; LCC minimization; PSO; battery; electricity supply; fuel consumption; hybrid wind-diesel power supply; hydrogen storage tank; life cycle cost minimization; metaheuristic computational method; particle swarm optimization; stand-alone system; storage device; wind turbine; Fuels; Generators; Hybrid power systems; Storage tanks; Wind speed; Wind turbines; Diesel set; Life Cycle Cost (LCC); battery-bank; hydrogen storage tanks; optimum system sizing; stand-alone system; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence Applications In Smart Grid (CIASG), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9893-2
Type :
conf
DOI :
10.1109/CIASG.2011.5953192
Filename :
5953192
Link To Document :
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