Optimal capacity planning for stand-alone photovoltaic generation in Taiwan

The optimal capacity planning of stand-alone photovoltaic (SPV) system can significantly improve the reliability and economical performance of power supply. This paper proposes a procedure based on genetic algorithms to get global optimum capacity of solar array and battery in a SPV system more effi...

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Bibliographic Details
Published in2010 International Conference on Power System Technology pp. 1 - 7
Main Authors Jeeng-Min Ling, Son, K A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Biological system modeling
Genetic algorithms
Optimization methods
Photovoltaic power systems
Planning
Reliability
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Summary:The optimal capacity planning of stand-alone photovoltaic (SPV) system can significantly improve the reliability and economical performance of power supply. This paper proposes a procedure based on genetic algorithms to get global optimum capacity of solar array and battery in a SPV system more efficiently. Different degrees of system reliability are investigated statistically to achieve the long-term optimal capacity allocation for a SPV system. System reliability can be described properly by the corresponding sixth order polynomial equations. Variations resulted from the cost of SPV component and load profiles are conducted to demonstrate the impacts of system uncertainty during planning. The solar radiation and temperature data from the Central Weather Bureau of Taiwan at six different locations during years of 2003 to 2009 were used.
ISBN:1424459389
9781424459384
DOI:10.1109/POWERCON.2010.5666609