1 Security - Constrained Optimal Dispatch of Combined 2 Natural Gas and Electricity Networks Using Genetic 3 Algorithms 4

This paper proposes a method based on genetic algorithm (GA) for the security-constrained 11 optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios 12 in both energy systems. The mathematical formulation of the optimization problem consists of a 13 multi-objective function which aims to minimize both cost of thermal generation (diesel and natural 14 gas) as well as the production and transportation of natural gas. The joint gas-electricity system is 15 modeled by two separate groups of nonlinear equation, which are solved by the combination of 16 Newton's method with the GA. The applicability of the proposed method is tested in the Belgian gas 17 network integrated with the IEEE 14-bus test system and a 15-node natural gas network integrated 18 with the IEEE 118-bus test system. The results demonstrate that the proposed method provides 19 efficient and secure solutions for different operating scenarios in both energy systems. 20 21