Optimal Energy Storage System in Residential Micro-Grid for EV Charging Station Penetration

Abstract

This article presents an analysis of the grid-connected photovoltaic system with an energy storage system for an electric vehicle charging station penetration in the residential Bangkok area. This article simulates the use of an electric car of MG EP brand battery with a capacity of 50.3 kWh and uses an average capacity of 16 kWh a day. The hybrid solar rooftop system, using solar panels with a capacity of 12.42 kWp, was installed on a roof area of 71.424 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and SG36KTL-M inverter of size 36 kW combined with an energy storage system by using sonnen lithium iron phosphate batteries, a capacity of 14 kWh. The performance of solar rooftop systems is 77 % for the residential area. The case study was studied at one house in Bangkok using average AC primary load daily profile from 119 residential and electricity consumption of more than 150 kWh per month in 2020 based on data from the Metropolitan Electricity Authority of Thailand. This article uses the Homer Grid Analysis Program by NASA satellite system in Ladprao, Bangkok area with energy productivity of 17,081 kWh per year to support the total energy consumption of about 11,284 kWh per year. To analyze the management system, optimize the efficiency of the micro-grid system with an energy storage system and reduce the impact of the grid, the EV charging power was used simultaneously, as well as optimal energy storage system and solar rooftop sizing algorithm analysis for residential in Bangkok.