Optimizing Microgrid Using Demand Response and Electric Vehicles Connection to Microgrid

Optimizing Microgrid Using Demand Response and Electric Vehicles Connection to Microgrid

The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.

The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.