气田集输管网优化运行方案

Optimized Running Program Proposed for Gathering Pipeline Networks of Gasfield

选取管网节点参数、压缩机站流量、进气和排气压力作为优化变量,建立了基于压缩机站能耗之和最小的气田管网优化运行数学模型。由于该优化模型具有目标函数和约束条件非线性、求解域非凸性和优化变量非连续性等特点,利用遗传算法的搜索机制和混沌搜索的遍历性,构造了一种新的演化算法用于该模型的求解。以苏里格气田管网为例,使用该方法求解得到最优的管网节点运行参数、压缩机站运行参数及启用台数,在顺利完成天然气输送任务的同时,降低了压缩机站能耗。

Node parameters of pipeline networks,flowrate of compressor stations,suction and exhaust pressures as optimized variables,optimized running mathematical model based on a minimum sum of energy consumption in compressor stations for pipeline networks is established. Because the optimized model is characterized by nonlinearity in objective function and constraint condition,nonconvexity in region of solution and noncontinuity in optimized variables,a new evolutionary algorithm to solve the model is constituted based on genetic algorithm's search mechanism and chaotic-search algorithm's ergodicity. Taking the pipeline network in Sugeli Gasfield as an example,optimal node operating parameters of pipeline networks and that of compressor stations including running number of compressors are obtained through the new evolutionary algorithm,and besides fulfilling gas transmission tasks,this model is helpful to decrease energy consumption in compressor stations.