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One Novel Optimum Sizing Method for Solar Lighting System by Using Genetic Algorithm

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3 Author(s)
Li Zhongshi ; Dept. of Building Services Eng., Hong Kong Polytech. Univ., Kowloon, China ; Zhou Wei ; Yang Hongxing

Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.

Published in:

Energy and Environment Technology, 2009. ICEET '09. International Conference on  (Volume:1 )

Date of Conference:

16-18 Oct. 2009