AI based Algorithm for Environmental and Techno-economic analysis in Grid-connected Charging Station of Electric Vehicles

By combining solar and wind energy sources, renewable microgrids lower greenhouse gas emissions while improving security, dependability, and power quality in power systems. The three alternative configurations' technological, economical, and environmental viability are examined using meta-heuristic methodologies. The optimisation technique aims to minimise the overall net current cost and levelized energy cost while maintaining a low chance of a power supply outage. The salp swarm algorithm, the grey wolf optimisation, and the modified salp swarm algorithm are used to the same issue, and the results are compared to those of the MSSA in order to validate the quality of the solution achieved using the MSSA. It is promoting the use of renewable resources and optimizing energy systems for better efficiency and reduced environmental impact.