Optimal Scheduling for Electric Vehicle Charging Stations and Effective Mobilization in Generation Source with Renewable Energy Integration

Optimizing power generation sources, promoting the flexibility of consumption loads, effectively coordinating the electric vehicle charging station system (EVCS), integrating renewable energy, minimizing negative impacts on the system are always the desires of operators and investors. In this study, we proposed an optimal charging coordination model for EVCS that combines effective mobilization of power generation sources integrated with renewable energy, with the goal of minimizing power generation costs in two cases with and without considering emissions. The Coronavirus Herd Immunity Optimization (CHIO) algorithm was utilized to identify solutions, the search results were simulated using Matlab software and tested on IEEE 30 node standard network, 7 charging stations, 3 charging levels in 24 hours according to the electricity price framework in Vietnam through 3 test cases and 2 scenarios considering Vehicle to Grid (V2G) technology. The solution results were compared with published studies, evaluating the proposed application.