DocumentCode
3082353
Title
Sizing optimization of PV-FC-Battery system with hybrid PSO-EO algorithm
Author
Biswas, Ishita ; Dash, Vaishalee ; Bajpai, Prabodh
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
869
Lastpage
874
Abstract
One of the most important issue in designing of renewable hybrid energy systems is to size the system components optimally to meet load requirement with minimum annualized cost of system and maximum reliability of power supply. This paper presents comparison of two approaches for calculating optimal size of hybrid energy system components with minimum annualized cost considering reliability constraint. In this paper an extremal optimization based particle swarm optimization algorithm has been proposed to determine optimal size of system components. To demonstrate the validity of proposed approach and to evaluate relative merit of this approach, a comparative study has been done with simple particle swarm optimization algorithm considering identical system configuration. The simulation results show that the optimal system components can deliver energy in a stand -alone installation with minimum system cost and maximum reliability.
Keywords
fuel cell power plants; hybrid power systems; particle swarm optimisation; photovoltaic power systems; power generation reliability; PV-FC-battery system; hybrid PSO-EO algorithm; hybrid energy system components; identical system configuration; maximum reliability; optimal system components; particle swarm optimization algorithm; power supply; renewable hybrid energy systems; sizing optimization; stand-alone installation; system cost; Batteries; Energy management; Fuel cells; Hydrogen; Optimization; Reliability; System-on-a-chip; Energy Management; Extremal optimization; Hybrid System; Optimization; Particle swarm optimization; Sizing;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2012 Annual IEEE
Conference_Location
Kochi
Print_ISBN
978-1-4673-2270-6
Type
conf
DOI
10.1109/INDCON.2012.6420739
Filename
6420739
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