Simulation study on flow distribution process of natural gas pipeline network based on optimized genetic algorithm

This paper establishes a mathematical model for optimising the natural gas pipeline network system. Using integer coding for pipe diameter coding and simulated annealing penalty function to transform the constraints, the improvement and optimisation of the algorithm is achieved by reasonably integrating the global optimisation ability of the genetic algorithm and the local search ability of simulated annealing. The improved genetic algorithm is applied to a large natural gas pipeline optimisation design example, and the calculation results show that the improved genetic algorithm is better than the basic genetic algorithm in terms of solution quality and convergence speed, which verifies the validity and feasibility of the established optimisation model.