Optimal Control And Simulation Of Coalbed Gas Transportation Pipeline Network

Coalbed methane(CBM)is one of the most important gas energy sources in our province nowadays.Its clean and efficient energy conversion has become the energy structure of our province.Coal bed methane(CBM)mining from Qinshui coalfield mainly realizes land transportation through the pipeline,which plays a great role in promoting the economic development of our province.However,in the process of gas transporting through the pipeline,the friction between the gas with high pressure and the pipe wall will result in great losses when gas passes through many pressure gas transfer stations.In order to reduce the cost of gas transporting and improve the efficiency,RealPipe,a popular gas pipeline model platform,is used to build a reasonable optimization model system for gathering and transporting of the ground pipeline network.RealPipe is used to optimize energy gas precisely and efficiently.The optimal algorithm is obtained by selecting the most suitable model to optimize the objective function of a coal seam gas network.The main work of this paper is as follows:First:The construction of the pipeline network in Qinshui Coalfield and the different layout of pipeline construction in different places are carefully investigated.The good groups are divided and the site is optimized to complete the modeling.At the same time,the standard gas equation BWRS is adopted,and the energy loss of the compressor is taken as one of the considerations,and the gas volume of the compressor is compared in different wellhead setting.In order to minimize the total conversion cost of gas transmission,the flow rate and speed of different nodes are taken as variables,and the pressure on the inner wall of pipeline and the whole pressure is taken as constraints to establish a comprehensive mathematical model.Second: Our usual optimization algorithms are steepest descent method,conjugate gradient method,and particle swarm optimization algorithm.The above algorithms are simple in structure,simple in function and fast in operation,but they all use local information of initial points,which can not avoid the problem of local minimum and easily fall into local optimal solution.In order tosolve the problem that a single algorithm can not achieve its goal,this paper proposes a combined ladder.Hybrid Particle Swarm Optimization(HPSO)based on Degree Method for solving mathematical models.Third:On RealPipe platform,according to the pipeline layout of Qinshui Coalfield,the model of gathering and transportation pipeline network is reasonably built and different well head laying methods are set up.The model is used to optimize the operation parameters of the coal-bed gas pipeline network.The hybrid particle swarm optimization algorithm combined with gradient method is used to optimize the objective function,and the optimization results of different algorithms are compared,which reduces the final conversion cost of gas transmission in the coal-bed gas pipeline network.The feasibility of the method in this paper is proved.In this paper,the hybrid particle swarm optimization(HPSO)is used to optimize the gas transportation and gathering in Qinshui Coalfield through RealPipe simulation platform,which has good practicability and operability.