Optimal Sizing and Location of Photovoltaic Generation and Energy Storage Systems in an Unbalanced Distribution System

Ming-Yuan Chiang (), Shyh-Chour Huang, Te-Ching Hsiao, Tung-Sheng Zhan () and Ju-Chen Hou
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Ming-Yuan Chiang: Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Shyh-Chour Huang: Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Te-Ching Hsiao: Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Tung-Sheng Zhan: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Ju-Chen Hou: Department of Electrical Engineering, Kao-Yuan University, Kaohsiung City 82151, Taiwan

Energies, 2022, vol. 15, issue 18, 1-22

Abstract: There has been an increasing number of renewable energy sources introduced into the distribution system to decrease the dependence on single power sources and relieve their effects related to global warming caused by power consumption. When greatly increasing renewable energy in the power system, the renewable energy connected to the power grid must be coupled with corresponding energy-storage technologies. This mechanism not only effectively improves the power floating problem but also more efficiently re-dispatches the power output. The purpose of this paper is to deal with the optimal sizing and location issue of the photovoltaic generation system and the battery energy storage system, which are proposed in order to improve the power loss, bus voltage profile, and voltage unbalance for the actual unbalanced loading distribution system of a large-scale chemical factory. The power loss, construction cost of the solar power and the energy storage systems, voltage variation ratio and voltage unbalance ratio will be treated as part of the objective function of the optimal problem. These variables are subject to various operating constraints and the voltage variation limit of the system when the photovoltaic generation and battery energy storage systems are operated. Furthermore, a refined genetic algorithm, which possesses an auto-selective crossover and mutation scheme, is proposed and applied in this paper in order to solve the optimization problem. Moreover, the simulation results are expected to demonstrate the superiority of the proposed algorithm.

Keywords: photovoltaic generation system; energy storage system; voltage unbalance ratio; voltage variation ratio; refined genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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