Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle

Abstract

Owing to several advantages of Plug-in Electric Vehicles (PEVs) like less noise, emission less, good efficiency and the reduced cost has attention to the governments, researchers and manufactures in recent time. The Plug-in Electric Vehicle (PEV) plays a vital role in replacement of conventional vehicles in future, because of penetration of renewable energy resources in conventional generation. The modernized of micro grid is happening due to usage of clean energy for EV charging. The cost of electric vehicle charging is challenging issue in the development of plug-in electric vehicle. The coordination between renewable generation and conventional generation is very much needed in near future. The dynamic nature of renewable energy resources causes frequent interrupts in electric vehicle charging. The problem of nonlinear power generation with renewable resources is overcome by electric vehicle battery storage system which enables the EV battery to charge during low demand period and gets discharged into the micro grid during high demand periods. This paper developed an optimal schedule for stationary Plug-in Electric Vehicle charging in operation with micro grid. The obtained optimal schedule provides balance between active and reactive power in generation and load as well. The integration of renewable energy resources is achieved through solar, wind in Vehicle-2-Grid (V2G) approach which is used to safeguard to renewable energy resources by store additional energy produced during peak load period and feeding back to the micro grid during low load period. As a result the stable operation of the micro grid and EV charging with low cost is achieved in this paper.

Optimizing the effect of charging electric vehicles on distribution transformer using demand side management

“…However, EVs charged at off peak time can be helped to discharge their energy during peak periods back to the grid and vehicles arriving randomly to charge at the workplace are not considered. A micro grid consisting of wind, photovoltaic generation, utilized the stationary plug in hybrid electric vehicles by developing an optimal schedule for charging them to support the dynamic nature of renewable resources is proposed in [16]. A novel algorithm is proposed to charge large EV fleet by predicting their load day a head satisfying grid constraints, the individual requirements of the customer ❒ ISSN: 2502-4752 like arrival and departure times, by minimizing their overall charging cost, developing their individual plans in [17].…”