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All Journal International Journal of Advances in Applied Sciences
Razali, Nur Syifa Nasyrah
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Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Optimal location and sizing of battery energy storage system using grasshopper optimization algorithm Razali, Nur Syifa Nasyrah; Yasin, Zuhaila Mat; Dahlan, Nofri Yenita; Noor, Siti Zaliha Mohammad; Ahmad, Nurfadzilah; Hassan, Elia Erwani
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp647-654

Abstract

An energy storage system called a battery energy storage system (BESS) collects energy from various sources, builds up that energy, and then stores it in rechargeable batteries for future use. The battery's electrochemical energy can be discharged and supplied to buildings such as residences, electric cars, and commercial and industrial buildings. The advantages of utilizing BESSs, such as minimizing energy loss, improving voltage profile, peak shaving, and increasing power quality, may be reduced if incorrect decisions about the appropriate position and capacity for BESSs are chosen. Furthermore, the optimal position and size for BESSs are critical since deploying a BESS at every bus, particularly in an extensive network, is not a cost-effective option, and installing oversized BESSs would result in higher investment expenses. Hence, this study suggests a proficient method for identifying the most suitable position and the sizes of BESS to save costs. The grasshopper optimization algorithm (GOA) and evolutionary programming (EP) were employed to address the optimization challenge on the IEEE 69-bus distribution test system. The goal of the optimization is to minimize the overall cost. The findings indicate that the GOA has strong resilience and possesses a superior capacity for optimizing cost reduction in comparison to EP.
Co-Authors Ahmad, Nurfadzilah Dahlan, Nofri Yenita Hassan, Elia Erwani Noor, Siti Zaliha Mohammad Yasin, Zuhaila Mat