Smart Grid and Resilience

Given that understanding the effects of electric vehicle charging on smart grids and taking action to eliminate or reduce these effects requires planning the power grid and implementing long-term preventive strategies, it is necessary to gain sufficient knowledge in this field before using them extensively. For this reason, many researchers have studied the various effects of connecting these vehicles in the fields of changing the load profile of consumers, increasing losses and decreasing the voltage of the power grid. However, no special attention has been paid to the effects of charging electric chargers on the life of smart grid electrical equipment. However, by connecting electric vehicles to the grid, the amount of power passing through the grid equipment increases and this can reduce their lifespan. Due to the connection of electric vehicles to household sockets, it is expected that smart grids will be more affected by the charge of these vehicles than the production and transmission sectors. Distribution transformers are also one of the most important smart grid equipment’s that have high costs and are found in abundance in distribution networks. For this reason, this chapter focuses on studying the optimal scenario of energy management scenario in the electric vehicle solar charging station in smart grids along with solid-state transformers in the presence of electric vehicles. The following book is followed: (1) In this chapter of the book, we design a solar charging station and present an automated energy management (EMS) strategy for solid-state transformers by adding optimization techniques to the automated energy management, to design an efficient and optimal real EMS strategy for PVCS stations in Smart network ancillary services are paid. In this way, first, the solid-state transformer is selected for PV integration according to the different initial charge conditions of the EVs batteries, and then, considering that the solar charging stations (PVCS) are active as a controllable unit in smart grids. It was active once that using a solid-state transformer, the volume of PVCS would be much smaller. (2) In this chapter of the book, the solar charging stations of the electric vehicle in the smart grid, which is managed by SST transformers, are examined and its optimization is examined. Also, the energy management department in charging stations will be improved by using the MNHPSO-JTVAC optimization method in order to increase the efficiency and accuracy of the optimal power allocation performance. The optimal scenario-based strategy presented in the book also includes the connection of electric vehicles to the network and the determination and evaluation of different scenarios due to different penetration coefficients of the solar charging station and different charging intervals of electric vehicles in managed smart grids. Will be reviewed by SST.