In standalone microgrids, the Battery Energy Storage System (BESS) is a popular energy storage technology. Because of renewable energy generation sources such as PV and Wind Turbine (WT), the output power of a microgrid varies greatly, which can reduce the BESS lifetime. Because the BESS has a limited lifespan and is the most expensive component in a microgrid, frequent replacement significantly increases a project’s operating costs. This paper proposes a capacity optimization method as well as a cost analysis that takes the BESS lifetime into account. The weighted Wh throughput method is used in this paper to estimate the BESS lifetime. Furthermore, the well-known Particle Swarm Optimization (PSO) algorithm is employed to maximize battery capacity while minimizing the total net present value. According to simulation results, the optimal adjusting factor of 1.761 yields the lowest total net present value of US$200,653. The optimal capacity of the BESS can significantly reduce the net present value of total operation costs throughout the project by extending its lifetime. When applied to larger power systems, the proposed strategy can further reduce total costs.
Abstract-Energy storage system (ESS) is integrated to a microgrid for managing the intermittent power from the renewable energy source. The battery energy storage system (BESS) is widely used in a microgrid, but it has various factors such as a high current of discharge/charge that affect the lifespan and quality of the BESS and lead the extravagant investment for replacing the BESS. This paper studies the using HESS consist of BESS and supercapacitor (SC). The SC well operates at the high rapid change of current of discharge/charge. The study was performed in MATLAB/Simulink program. The study results showed the HESS application to accommodate the quick change of load variation or the fluctuation of distributed generator (DG) output that help to reduce the fluctuation in the microgrid. This method can improve power and reduce the stress on BESS for dilating the lifespan.
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