Abstract:

The multi-agent integrated energy system (IES) faces many problems such as conflict of interest in peer-to-peer (P2P) transactions among members and privacy data protection. In the context of the ladder carbon trading mechanism, a collaborative optimization strategy for multi-agent IES based on asymmetric Nash bargaining is proposed. Firstly, a collaborative optimization model for electricity, heat and hydrogen energy sharing among multiple agents in IES is established by introducing such decarbonization measures as carbon capture power plant and hydrogen-blending equipment. Secondly, based on the Nash bargaining theory, the collaborative optimization problem is equivalently decomposed into two sequential subproblems: minimizing the operational costs of multi-agent IES and maximizing transaction payments, thereby achieving a fair and reasonable distribution of cooperative benefits. Finally, the alternating direction multiplier method (ADMM) is employed to solve these problems, determining the trading power and trading prices. The case studies demonstrate that this strategy achieves collaborative optimization of multiple heterogeneous energy flows (including electricity, heat, and hydrogen), reduces system operating costs, and ensures equitable benefit distribution among stakeholders.

Key words: multi-agent integrated energy system, alternating direction multiplier method, carbon capture power plant, Nash bargaining game, ladder carbon trading mechanism