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Multi-objective Optimization of the Gathering and Transferring of Oil-Gas PipeNetwork Based on the Genetic Algorithm

机译:基于遗传算法的油气管网汇聚与输运多目标优化

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In order to improve the arrangement of the gathering and transferring of oil-gas pipernnetwork, the mathematic model for solving the multi-objective optimization problemrnwere established. NSGA-II (Non-dominated Sorting Genetic Algorithm-II) programrnwhich has a good global optimization has been compiled to improve the gatheringrnand transferring of oil-gas pipe network performance. Positions of middle stationsrnwere selected as the design variables with investment cost and hydraulic loss ofrnpipelines as optimization objectives. Many techniques in optimization program, suchrnas the real number encoding technique, the random sampling based on expanding thernresearch space, single-point crossover and uniform mutation had been used. Thernsystem of optimization method is formed to be utilized for optimization of gatheringrnand transferring of oil-gas pipe network. Lastly, through one engineering project ofrnthe gathering and transferring of oil-gas pipe network, it is shown that economy andrnthe hydraulic performance of the optimized gathering and transferring of oil-gas pipernnetwork has got improvement to some extent.
机译:为了改善油气管网收集与转移的安排,建立了解决多目标优化问题的数学模型。编制了具有良好全局优化的NSGA-II(非主导排序遗传算法-II)程序,以提高油气管网的采集和传输性能。选择中间站的位置作为设计变量,以投资成本和管道水力损失为优化目标。优化程序中使用了许多技术,例如实数编码技术,基于扩展研究空间的随机采样,单点交叉和均匀变异。形成了优化方法系统,用于油气管网集输优化。最后,通过一个油气管网集输工程项目,表明经济性和优化的油气管网集输水力性能都有一定程度的提高。

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