Multi-agent Collaboration for Conflict Management in Residential Demand Response

This paper describes Collaborative P-MCTS (CP-MCTS), which enables EVs to actively affect the planning process and resolve their conflicts via negotiation and optimizes the final consumption pattern using collective knowledge obtained during the negotiation. The negotiation algorithm supports agents to actively participate in collaboration, arguing about their stance and making new proposals. The results obtained show a significant load-shifting in peak times, a smoother load curve, and improved charging fairness and flexibility.