Optimal scheduling of park-level integrated energy system considering carbon trading mechanism and demand response

Under the background of " Double carbon target ", it is urgent to realize the efficient use of energy and the low-carbon economic operation of the integrated energy system. Aiming at the problem that the traditional park-level integrated energy system does not fully consider the effects of multi-energy complementation, carbon market and flexible load on the operation results, this paper studies the optimal scheduling model of park-level integrated energy system considering carbon trading and demand response mechanism. The role of carbon trading mechanism and demand response in improving the operating efficiency, flexibility, reliability and low-carbon economy of the system is verified by selecting typical load parameters and equipment parameters, conducting simulation analysis with examples, and comparing the total operating costs, energy procurement costs, carbon trading costs and carbon emissions under various scenarios. The results show that the studied optimal scheduling method can effectively improve the low-carbon and economic efficiency of the park, and achieve a win-win situation in terms of system economy and environmental protection.