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

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

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,...

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Bibliographische Detailangaben
Hauptverfasser: Li Zhongshi, Zhou Wei, Yang Hongxing
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Batteries
Building integrated photovoltaics
Gas discharge devices
Genetic algorithm
Genetic algorithms
Mathematical model
Optimization
Photovoltaic systems
Power system modeling
Predictive models
Shading effect
Solar lighting design
Solar power generation
Solar radiation
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ICEET.2009.61