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ANN-Based Sizing of Battery Storage in a Stand-Alone PV System

Ahmet Afşin Kulaksız, Bayram Akdemir, and Hale Bakır
Selcuk University, Engineering Faculty, Electrical & Electronics Engineering Department, Konya, Turkey
Abstract—Sizing of electric energy storage for effective operation of photovoltaic (PV) systems is very important particularly in remote areas. Because of the intermittent nature of sun and varying inclinations of PV modules, there is no single definite rule for sizing batteries. The period of time in which the weather is cloudy and little or no sunlight is available must be considered and the number of days batteries supply the load must be computed. In this research, the optimal battery size for stand-alone PV system is determined using ANN model. Thus, calculation of optimum battery storage for a stand-alone PV system can be automated without needing extensive mathematical calculations or graphical analysis techniques.

Index Terms—battery storage, PV system sizing, artificial neural networks, system availability, peak sun hour, inclination angle

Cite: Ahmet Afşin Kulaksız, Bayram Akdemir, and Hale Bakır, "ANN-Based Sizing of Battery Storage in a Stand-Alone PV System," Jounal of Automation and Control Engineering, Vol. 4, No. 1, pp. 8-12, February, 2016. doi: 10.12720/joace.4.1.8-12
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