Power-to-gas technology and demand response strategy are effective approaches to improve the flexibility and efficiency of energy systems. This paper proposes a multi-objective operation optimization model for an electro-thermal integrated energy system considering power to gas and demand response strategies. First, the structure of integrated energy system and the demand response model of different types of electro-thermal loads are proposed. Second, the operation optimization model of integrated energy system is established with three objectives of total cost minimization, carbon emission minimization, and energy curtailment rate minimization. A hybrid intelligent algorithm combining multi-objective particle swarm optimization and VlseKriterijumska Optimizacija I Kompromisno Resenje technique is employed to solve the proposed model. Then, an industrial park in North China is studied. The results indicate that power to gas can reduce the total cost, carbon emission, and energy curtailment rate by 8.18%, 11.92%, and 75.80%, respectively, and the demand response also has a positive impact on system performance.
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