Day-Ahead Optimal Dispatch of Multi-Integrated Energy Systems Considering Uncertainties Based on Nash Bargaining Approach

With the evolution of modern power systems, the traditional centralized energy management approach faces unprecedented challenges. This paper delves into the optimal scheduling strategy of a multi-integrated energy system by examining the non-cooperative game relationships among different stakeholders. A two-stage optimization model is proposed for the multi-integrated energy system(MIES) based on a non-cooperative game framework with incomplete information among multiple agents to address the growing uncertainties. Specifically, a multi-agent cooperative planning model based on Nash negotiation is created and decomposed into two sub-problems: minimizing social costs and maximizing payment benefits. An augmented Lagrangian function is constructed, and the alternating direction method of multipliers (ADMM) is employed to find the Nash equilibrium solution of these sub-problems. Finally, the case study results demonstrate that cooperative optimization can significantly reduce the planning costs by 10,441 CNY in total while ensuring the reliable operation of the system.