含弯管和阀室的集气系统新增产能拓扑优化
Topological Optimization for New Capacity of Gas Gathering System Including Valve Chamber and Elbow
浏览(1748) 下载(15)
- 引用格式:
-
陈双庆,刘,扬,魏立新,官,兵.含弯管和阀室的集气系统新增产能拓扑优化[J].天然气与石油,2016,34(3):0.doi:
Chen Shuangqing, Liu Yang, Wei Lixin, Guan Bing.Topological Optimization for New Capacity of Gas Gathering System Including Valve Chamber and Elbow[J].Natural Gas and Oil,2016,34(3):0.doi:
- DOI:
- 作者:
- 陈双庆 刘 扬 魏立新 官 兵
Chen Shuangqing, Liu Yang, Wei Lixin, Guan Bing
- 作者单位:
- 东北石油大学石油工程学院
Northeast Petroleum University
- 关键词:
- 集气系统；新增产能；拓扑优化；集气干线阀室；转向角；混合遗传算法
Gas gathering system; New capacity; Topological optimization; Gas gathering trunk line valve chamber; Steering angle; Hybrid genetic algorithm
- 摘要:
- 为了降低气田新增产能管网建设投资,针对辐射-枝状组合式管网的结构特点,考虑集气站与集气干线连接方式对系统建设投资的影响,以极小化新增产能管网建设投资为目标函数,以管线串接转向角与集气支线输量等限制为约束条件,建立了新增产能拓扑布局优化数学模型。根据模型的特点,将模型提成为几何位置优化和拓扑连接关系确定两个子问题,应用改进的混合遗传算法进行求解。设计了自适应种群进化的适应度函数,结合Metropolis准则、精英策略和轮盘赌选择算子对选择复制操作进行优化,引入多目标优化技术调整Prim算法的操作方式。算例验证结果表明,该模型和算法正确,可以有效地降低管网建设投资和弯管用量,改进的混合遗传算法在寻优能力和求解效率上较基本遗传算法均有一定提高。
In order to reduce the investment for network construction of gas field new capacity, aiming at the radiation-branched combined pipe network and considering the effect of connection type between gas gathering station and gas gathering trunk line on investment, a new capacity topology optimization mathematical model is established with the minimum construction investment as the objective function, and the limit of pipeline tandem steering angle and the gas gathering branch line throughout as restriction. According to the characteristics of the model, the resolution of the model is decomposed into two sub issues including geometry position optimization and topological connection determination, and the improved hybrid genetic algorithm is used to solve the problem. In the algorithm, the fitness function of adaptive population evolution is designed. Combined with the Metropolis rule, elitist strategy and roulette wheel selection, the operation for selection and copy is optimized. With the multi-object optimization technique, the operation mode of the Prim algorithm is adjusted. Verified by the calculation example, the model and algorithm are correct. It can effectively reduce the network construction investment and the using amount of elbow. The improved hybrid genetic algorithm, compared with the basic genetic algorithm, has certain improvement in the optimization ability and the solving efficiency.
