A Comprehensive Approach for Safety in DC-Microgrids

Kaiser, Julian; Strobl, Christian; Mann, Helmut; Muhm, Helmut; Klimpel, Marc; Schork, Franz; März, Martin

doi:10.1109/icdcm45535.2019.9232743

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2023

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“…The batteries in microgrids serve as backup power sources when renewable energy sources are unable to meet the energy demand [4], [5]. Ensuring the efficiency [6]- [14], stability [15], safety [16], and reliability [17] of the energy storage system is vital in microgrids.…”

Section: Introductionmentioning

confidence: 99%

Leveraging PSO algorithms to achieve optimal stand-alone microgrid performance with a focus on battery lifetime

Kusuma,

Firdaus,

Suprapto

et al. 2023

IJAPE

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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.

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