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Title: Optimal Sizing of Hybrid PV-Battery Storage System Using New Teaching-Learning Based Optimization Algorithm

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Title:
Optimal Sizing of Hybrid PV-Battery Storage System Using New Teaching-Learning Based Optimization Algorithm
Author Name:
Mohammad Alijani. Saeed Lesan
Abstract:
In optimal design of solar system with battery storage apart from network, it is considered both technically and economically Criteria. Optimizing the size of the system component is done according to technical index i.e. reliability of system load supply and the other economic index i.e. Energy generation costs. The aim of this paper is to determine the optimal capacity of studied system component with the aim to improve the reliability of the system load with only minimal energy generation costs. In this study, an optimization algorithm is used to solve the optimization problem based teaching – learning optimization algorithm. Decision variables include the area of the solar array and battery capacity. The results obtained by the optimization showed that using a combination of solar array with battery achieves the desired load reliability with minimum costs.
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