Optimal Sizing and Siting of Fresh and Second-Life Battery Energy Storage Systems Based on Linearized Optimal Power Flow for High Photovoltaic Penetration: A Comparative Study

Apribowo, Chico Hermanu Brillianto and Hadi, Sasongko Pramono and Wijaya, F. Danang and Sarjiya, Sarjiya (2024) Optimal Sizing and Siting of Fresh and Second-Life Battery Energy Storage Systems Based on Linearized Optimal Power Flow for High Photovoltaic Penetration: A Comparative Study. Evergreen, 11 (3). 2202 – 2216. ISSN 21890420

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Abstract

The optimization of battery energy storage systems (BESS) is becoming increasingly popular among consumers due to numerous advantages, such as improved energy efficiency, cost-effectiveness, and promotion of network stability. As electric vehicle (EV) battery ages, effective management is essential after the removal of battery to improve energy efficiency. In this context, repurposing second-life battery (SLB) for BESS applications provides a highly attractive alternative to direct recycling or disposal, offering both economic and environmental benefits. Therefore, this study aimed to determine optimal sizing and siting of BESS by comparing both fresh battery and SLB in the IEEE 14 bus. The analysis focused on developing cost-effective energy systems that integrate operating and investment costs, based on high photovoltaic (PV) penetration, using the direct current optimal power flow (DC-OPF) model derived from a linearized network. The results showed that optimizing BESS led to a reduction of 2.28 and 3.38 in PV penetration as well as unsupplied energy costs, respectively compared to scenarios without BESS. Additionally, 25 PV penetration reduced total daily operating costs from fresh battery and SLB by approximately 38.89 and 74.77, respectively. © 2024 Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy. All rights reserved.

Item Type: Article
Additional Information: Cited by: 0; All Open Access, Gold Open Access
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 19 Jun 2025 01:19
Last Modified: 19 Jun 2025 01:19
URI: https://ir.lib.ugm.ac.id/id/eprint/12951

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