基于改进蚁群算法的天然气输送管网参数节能优化设计方法

Energy saving optimization design method of natural gas transmission pipeline networkparameters based on improved ant colony algorithm

为了降低天然气输送管网的损耗率,节约投资费用,提出了基于改进蚁群算法的天然气输送管网参数节能优化设计方法。通过分析天然气输送管网参数优化问题及影响因素,构建了优化目标函数,设置了管道的强度、稳定性、气体流量和节点流量等约束条件。在节能优化设计方案中,通过选择适宜的惩罚因子保证优化结果,引出管网优化的广义目标函数;利用局部搜索改进蚁群算法;通过信息素更新,实现管径组合的信息素强化。仿真实验结果表明,所提方法能够将天然气损耗率降低至2.5%以下,且总投资成本相较BP人工神经网络法、动态与黄金分割法均有所降低。

In order to reduce the loss rate of natural gas transmission pipeline network and save investment costs,an energy saving optimization design method of natural gas transmission pipeline network parameters based on improved ant colony algorithm was proposed.By analyzing the optimization problems and influencing factors of natural gas transmission pipeline network parameters,the optimization objective function was constructed,setting up the relevant constraints,such as pipeline strength,stability,gas flow,and node flow.In the energy saving optimization design scheme,the generalized objective function of pipeline network optimization was derived by selecting the appropriate penalty factors to ensure the optimization results.Using local search,ant colony algorithm was improved.And through pheromone updating,the pheromone strengthening of pipe diameter combination was realized.The simulation results showed that the proposed method could reduce the natural gas loss rate to below 2.5%,and the total investment cost was lower than that of BP′s artificial neural network,dynamic and golden section methods.