Abstract

This paper aims to solve the optimal power and gas flow problem of the integrated electricity and natural gas networks. Gas-fired power plants provide linkage between electricity and natural gas networks. The model of natural gas network consisting of gas sources, loads, pipelines and compressors is calculated by the Newton-Raphson method. Afterwards, a multi-objective group search optimizer with adaptive covariance and Levy flights (MGSO-ACL) is used to solve the operation problem of the optimal power and gas flow of the integrated electricity and natural gas networks. The fuel cost and pollutant emission of the integrated electricity and natural gas system are considered as objective functions. Furthermore, a decision making method based on the evidential reasoning (ER) is utilized to determine a final optimal solution from the Pareto-optimal frontier obtained by the MGSO-ACL. The application of the proposed methods is tested on an 8-node natural gas network integrated with the modified IEEE-30 test system through a gas-fired generator.

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