Grid Frequency Control using Fuzzy logic with V2G System

Abstract

Battery operated vehicle and hybrid vehicle are the future way to travel or commute within the city, which efficiently reduce the carbon footprint from the world. The power needed by these vehicles to charge their battery is less but as the number of electric vehicles is growing it can have effect during peak loading hours, to counter this problem a new type power management, or some sort of system to deal with the charging is required. Not only the electric vehicle helps decarbonizing the transport, they are considered as mobile power storage device as they have power stored in battery. Same as conventional vehicle the electric vehicle are not utilized as they are stay most of the day as idle on parking. This is going to change in the future as a new technology has emerged which used to link all idle vehicle to the power grid. Such technology is known as Vehicle-to-Grid system which when applied enables charging load to be shifted to offpeak periods, thereby flattening the daily load curve and significantly reducing both generation and network investment needs. not only this, the system can effectively use to transfer the power stored in the batteries of the EV's to further tone down the peak loading curve. The motive behind this thesis is to control the frequency of the grid which droops during the peak load time, as the load on the grid start increasing the power demand the frequency start dropping. To fill in the gap between the supply and demand, the EV can help out by transferring the stored power to the grid by using the V2G system. Also this new technology is very cost effective as the vehicle will charge itself during the off peak loading time when the rate of electricity is cheaper, hence shooting two birds with one arrow. Various researches are going on throughout the world on how effectively this new technology will work and how to optimize the charging and discharging of the EV's and PHEV's.