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Multi objective optimal operation of integrated electricity-gas system considering emission of pollutant gas

With the development of power to gas (P2G), the optimal scheduling of integrated electricity-gas system ((IEGS) has been widely concerned. In order to ensure the operation economy of the system and achieve the best environmental benefits and optimal electricity purchase cost through flexible scheduling of P2G and Gas Fired Unit (GFU), this paper proposes a multi-objective optimal scheduling model of IEGS considering system operation cost, pollutant gas emission and electricity purchase cost. The normal boundary intersection (NBI) method is used to transform the multi-objective optimization problem into multiple single objective optimization problems, and the fuzzy clustering method combined with practical preferences is used to quickly screen the optimal solution. Finally, the modified IEGS system is used for case study, and multiple scenarios are set for comparative analysis to prove the superiority of the proposed model. The results show that the optimal scheduling model can realize the flexible scheduling of P2G and GFU, and achieve good environmental benefits while ensuring the system economy.