Multi-Objective Optimization of the Gathering and Transferring of Oil-Gas Pipe Network Based on the Genetic Algorithm
Jinya Zhang, Hongwu Zhu, Yan Li, Chun Yang · 2009
In order to improve the arrangement of the gathering and transferring of oil-gas pipe network, the mathematic model for solving the multi-objective optimization problem were established. NSGA-II (Non-dominated Sorting Genetic Algorithm-II) program which has a good global optimization has been compiled to improve the gathering and transferring of oil-gas pipe network performance. Positions of middle stations were selected as the design variables with investment cost and hydraulic loss of pipelines as optimization objectives. Many techniques in optimization program, such as the real number encoding technique, the random sampling based on expanding the research space, single-point crossover and uniform mutation had been used. The system of optimization method is formed to be utilized for optimization of gathering and transferring of oil-gas pipe network. Lastly, through one engineering project of the gathering and transferring of oil-gas pipe network, it is shown that economy and the hydraulic performance of the optimized gathering and transferring of oil-gas pipe network has got improvement to some extent.