Optimal Allocation of EV Charging Station and Peak Energy Demand Reduction Using Coordinated Real Time Scheduling

Abstract

newline Conventional internal combustion (IC) engine-based vehicles have several disadvantages newlinelike poor fuel economy and higher emission of greenhouse gases (GHG). It is generally newlineaccepted for the country, adopting electric vehicles (EVs) for transportation is necessary newlineto solve environmental issues and promote sustainable development. The electrification newlineof the transportation industry has been made possible because of present challenges with newlinethe environment, including the rapid depletion of fossil fuels, rising air pollution, newlineincreasing energy needs, global warming, and climate change. All the aforementioned newlineproblems can be solved with deployments of EVs. But impediments like long charging newlinetimes, short driving distances, and inadequate infrastructure for charging pose obstacles newlineto this shift and prevent it from being widely adopted. While the creation of a vast network newlineof fast charging electric vehicle stations shows promise in resolving concerns about newlinedriving range anxiety and technological developments can more effectively address these newlineissues by shortening charging periods. India s pledge of reduction in greenhouse gases emission by 45% till 2030 would also newlinecatalyse the huge increment in the number of EVs. An exponential rise in the demand for newlineelectrical energy may result from the growing number of electric vehicles and the newlinecorresponding requirement for more charging stations. Fast charging stations reduce newlinereplenishment times, but they come with a risk such as they could overload the power newlinegrid during periods of high demand, endangering the reliability of the grid. When this newlinedemand is excessively met by fossil fuels, carbon emissions from cars are transferred to newlinepower plants.