摘要
输油管道作为石油运输的主要途径其能耗在不断攀升,在实际调度过程中,调度人员面对不同输油泵的组合以及相应的管道水力约束,难以给出最优的调度计划。根据管网调度人员和操作人员的实际需求,采用历史工况数据,建立了当前输油泵操作下的总能耗最低的目标函数,并将目标优化问题转化为非线性混合整数规划问题,然后利用分枝定界算法和序列二次规划算法进行求解,现场实际数据应用表明,采用本推荐方案可以降低约6%的能耗。
The energy consumption of oil pipelines,as the main route of oil transportation,is constantly rising.In the actual scheduling process,it is difficult for schedulers to give the optimal scheduling plan under the current scenario in the face of different combinations of oil transmission pumps and the corresponding hydraulic constraints of pipelines.According to the actual needs of pipeline schedulers and operators,this paper uses historical working condition data to establish an objective function based on the lowest total energy consumption under current oil pump operation,and transforms the objective optimization problem into a nonlinear mixed integer programming problem,and then solves it by using branching bounding algorithm and sequential quadratic programming algorithm.The actual field data application shows that the energy consumption can be reduced by about 6%using this recommended scheme.
作者
牛恩建
宋伟强
段贵权
周靖林
Niu Enjian;Song Weiqiang;Duan Guiquan;Zhou Jinglin(College of Information Science and Technology,Beijing Univ.of Chemical Technology,Beijing 100029;Da Qing Oilfield the Fourth Oil Production Plant Digital Operation and Maintenance Center,Daqing 163511)
出处
《石化技术》
CAS
2023年第5期79-81,共3页
Petrochemical Industry Technology
关键词
输油优化
非线性约束
混合整数规划
分支定界算法
Oil delivery optimization
Nonlinear constraint
Mixed integer programming
Branch-and-bound algorithm