Utilizing capabilities of plug in electric vehicles with a new demand response optimization software framework: Okeanos

• Okeanos, a new, game theoretic software framework for demand response is introduced.
• Simulations involving multiple households are explored.
• Plug in electric vehicles are introduced and integrated into the models.
• Results demonstrate improved costs and reduced consumption of electricity.

Particularly with respect to coordinating power consumption and generation, demand response (DR) is a vital part of the future smart grid. Even though, there are some DR simulation platforms available, none makes use of game theory. This paper proposes Okeanos, a fundamental, game theoretic, Java-based, multi-agent software framework for DR simulation that allows an evaluation of real-world use cases. While initial use cases are based on game theoretic algorithms and focus on consumption devices only, further use cases evaluate the effects of plug in electric vehicles (PEVs). Results with consumers show that the number of involved households does not affect the costs per household. Further evaluation involving PEVs demonstrates that with an increasing penetration of PEVs and feed-in tariffs the costs per household per month decrease.