An Optimizing Power System Dispatch with An Extra EV Load Using PLEXOS Appoach

Abstract

The vehicles powered by electricity are quickly developed to meet the reduction in greenhouse gas emissions. Although electrical vehicle (EV) dose produce less carbon emissions and the less fossil fuel are consumed compared with traditional vehicles, the electricity should be supplied to EV battery charging where excess emissions would be produced from power generation. In this work, we try to optimize the power dispatch for the extra electronic vehicle loading exemplified by the Ireland's electricity market in 2020 with a commercial PLEXOS software. We have investigated the effects of the EV load on the SEM (Single Electricity Market) with the four different scenarios including peak, off-peak, stochastic, and EPRI, respectively. The simulative model was used to optimize the dispatch of a generation and supply energy for a specified demand load. It was confirmed the EV charging at the peak time presented the highest increasing in the systematic marginal price, generation costs and total C02 emissions. The off-peak charging is more beneficial than other charging modes that would contribute 1.54% renewable energy penetration and supply to the 200% emissions reduction target. The present work may provide a new idea and technological approach for the sectional dispatch of the power grid and optimizing EV load in the future.