Low-carbon optimization scheduling of multi-park integrated energy systems considering hybrid game theory mechanisms

Abstract

Under the “dual carbon” background, to promote the low-carbon energy transition, a low-carbon economic dispatch model for multi-park integrated energy system considering a green certificate-carbon trading mechanism and hybrid game theory is proposed. First, a two-layer hybrid game model is constructed. The upper-layer model treats the system operator as the leader, aiming to maximize its own revenue by formulating energy purchase and sale pricing strategies. The lower-layer model treats the multi-park integrated energy system alliance as the follower, aiming to optimize its own output to achieve the overall economic optimization of the alliance. Second, a green certificate-carbon trading mechanism is introduced into the hybrid game of the multi-park integrated energy system to improve the overall low-carbon economic efficiency of the system. Finally, based on Nash game theory, a two-layer hybrid game optimization model is constructed, incorporating a dynamic multi-energy pricing mechanism with a master-follower game and a cooperative game of electricity-heat sharing among Park Integrated Energy System (Power, Energy, and Environment) systems. The Nash bargaining problem is then transformed into two sub-problems: minimizing the cooperative cost and maximizing the cooperative revenue of the multi-park integrated energy system. The alternating direction multiplier method is used for solving these sub-problems. Results show that this method can enable the system to obtain more revenue and achieve a win-win situation while meeting the diverse load demands of the system.