Investigation of charge-recharge optimization in battery energy storge system for minimizing electric bill using particle swarm technique
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Abstract
Battery energy storage systems (BESS) are an important part of reducing the level of daily unstable solar fluctuations for photovoltaic (PV) cells and can also reduce the maximum level of power demand. This paper examines the optimal adjustment of BESS charging and discharging behavior by the particle swarm optimization (PSO) technique for reducing the electricity bills of student dormitories at Suranaree University of Technology (SUT). To achieve the lowest electricity cost for the dormitory load, we considered the characteristics of the BESS G-cell 100kW/200kWh. According to the simulation results after BESS behavior, BESS can help store energy from PV during times when PV produces 89% more power than the dormitory needs and reduce the dormitory's electricity bill by 54% compared to the case before the behavior adjustment.
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