天然气管网输配气量优化研究

天然气管网系统管理部门为了明确天然气管网的输气能力和提高天然气管网的利用率，需要对天然气管网系统的输配气量进行优化。为此，以天然气管网系统的最大流量为目标函数，同时考虑了管道强度、节点压力和流量限制等约束条件，建立了天然气管网输配气量优化的数学模型。在研究遗传算法和模拟退火算法的基础上，提出了一种由二者结合构成的具有全域搜索、快速收敛和鲁棒性强等特点的混合遗传算法。结合实例，采用这一新算法求解了天然气管网输配气量优化的数学模型。实例优化结果表明，所建立的数学模型和采用的混合遗传算法是可行和有效的，能够对天然气管网系统输配气量的调度运行起到指导作用。

STUDY ON GAS TRANSMISSION AND DISTRIBUTION OPTIMIZATION OF PIPELINE SYSTEM

The gas transmission and distribution volumes of the gas pipeline system should be optimized for the system-managing unit to understand the gas transmission capacity of the system and improve the working efficiency of the system. Taking the maximum flow rate of the system as the object function and considering the constraint conditions such as the pipeline strength, the node pressure, and the flow limitation etc., the mathematic model is developed for gas transmission and distribution optimization of pipeline system. Based on the genetic algorithm and the simulated annealing algorithm, the hybrid genetic algorithm made from the above-mentioned 2 algorithms is proposed. It has the characteristics of whole domain search, rapid convergence and strong Robustness. With real cases, the new algorithm is used to solve the mathematic model for gas transmission and distribution optimization of pipeline system. The results show the developed mathematic model and hybrid genetic algorithm are feasible and effective, which can guide the operation for gas transmission and distribution of pipeline system.