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All Journal International Journal of Applied Power Engineering (IJAPE)
Aji Akbar Firdaus
Airlangga University
Electrical & Electronics Engineering

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Leveraging PSO algorithms to achieve optimal stand-alone microgrid performance with a focus on battery lifetime Vicky Andria Kusuma; Aji Akbar Firdaus; Sena Sukmananda Suprapto; Dimas Fajar Uman Putra; Yuli Prasetyo; Firillia Filliana
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp293-299

Abstract

This research endeavors to increase the lifespan of a battery utilized in a standalone microgrid system, a self-sufficient electrical system that consists of multiple generators that are not connected to the main power grid. This type of system is ideal for use in remote locations or areas where the grid connection is not possible. The sources of energy for this system include photovoltaic panels, wind turbines, diesel generators, and batteries. The state of charge (SOC) of the battery is used to determine the amount of energy stored in it. The particle swarm optimization (PSO) method is applied to minimize energy generation costs and maximize battery life. The results show that battery optimization can decrease energy generation costs from Rp 5,271,523.03 ($338.64 in USD) to Rp 13,064,979.20 ($839.30 in USD) while increasing the battery's lifespan by 0.42%, with losses of 7.22 kW and 433.29 kVAR, and also a life loss cost of Rp 5,499/$0.35.
Co-Authors Dimas Fajar Uman Putra Firillia Filliana Suprapto, Sena Sukmananda Vicky Andria Kusuma Yuli Prasetyo