A Low-Carbon Optimisation Strategy for Community Integrated Energy Systems Incorporating P2G-CCS-CHP Devices Based on a Master-Slave Game Framework

With the proposal of the dual-carbon targets, improving the adaptability of renewable energy and the utilisation efficiency of traditional energy sources has become a critical pathway. Integrated energy systems have thus emerged as a solution, by establishing a multi-energy coupling device, hierarchical energy transfer across electricity, heat, and gas flows can be achieved, enabling the mutual conversion of green energy and alleviating carbon emission pressures. Simultaneously, given the complex interplay of interests among market participants, game theory has become increasingly important in coordinating inter-subjective interests and supplydemand relationships. To address the challenges of establishing a low-carbon community integrated energy system (CIES) with stability and economic efficiency, this paper proposes an optimisation scheduling strategy based on a master-slave game framework for a CIES incorporating P2G-CCS-CHP equipment. Firstly, a game-theoretic One master and multiple slaves' framework is constructed. Secondly, to achieve stepwise energy utilisation, a coupled equipment model comprising CHP-CCS-P2G units is developed for the integrated energy providers. Finally, the equilibrium point of the game is solved using optimisation algorithms, including genetic algorithms, CPLEX, and GUROBI solvers, enabling synergistic operation of the community integrated energy system and facilitating fair energy trading and revenue distribution among the multiple participants in the energy market.