PV Solar Battery Sizing Autonomy for Residential Applications

PV Solar Battery Sizing Autonomy for Residential Applications Olatunde Adeoye, Penrose Cofie Electrical and Computer Engineering Department Prairie View A&M University Texas Abstract The major down-time of the residential photovoltaic solar systems is due to the incessant adverse weather conditions that oftentimes continue for days and sometimes weeks in some areas such as Texas in the US. This makes it impossible for designed residential photovoltaic solar systems to generate electric power that meets the electricity demand of these residences during prolonged abnormal weather conditions. Hence, battery energy storage system is utilized to back up the power supply. However, the recent severe weather freeze that collapsed the Texas grid system, has sparked attention in the renewable power generation and supply area. Designing an adequate and economical battery energy storage system to meet this irregular weather conditions has proved quite difficult since the weather throughout the year is not perfectly predictable; in fact every weather forecast is stochastic. Therefore, an energy storage design for a week's battery autonomy in a particular year may not be adequate in another year where there is two continuous weeks of overcast weather without sunshine. This paper proposes a cost-effective strategy for battery sizing with adequate autonomy for residential photovoltaic solar systems by applying an optimization scheme using Energy Management System Flow Chart (EMSFC). The proposed method uses Lead-Acid battery and focuses on estimating average daily load, battery capacity, battery charge and discharge power limit, maximum allowable depth of discharge and number of battery modules. The reliability of this method considering weather conditions is verified using Monte Carlo simulation. References [1] Andreas Aichhorn, Michael Greenleaf, H. Li, J. Zheng, "A Cost-Effective Battery Sizing Strategy based on a detailed battery lifetime model and an economic energy management strategy", National Sciences Foundation under Grant ECCS-1001415. IEEE 2012. [2] Chee Wei Tan, Tim C. Green, and Carlos A. Hernandez-Aramburo, "A stochastic method for battery sizing with uninterruptible-power and demand shift capabilities in PV (photovoltaic) systems", ScienceDirect Energy Journal, September 2010, pp. 5082-5092 [3] Borowy BS, Salameh ZM, "Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system", IEEE Transactions on Energy Conversion 1996. [4] Dongjin Cho, Jorge Valenzuela," Optimization of Residential Off-Grid PV-Battery Systems", Solar Energy Journal, September 2020.