The Self-adaptive Research On Simulation Model Of Natural Gas Pipeline Based On Optimization Algorithm

With the increasing scale and complexity of natural gas pipeline construction,natural gas pipeline system simulation technology has become an important means of realizing research and operation management of natural gas pipeline network scheduling management and pipeline network system failure analysis.However,Pipeline parameters,environmental parameters,measurement instrument accuracy,etc.will all change irregularly throughout the life cycle of the pipeline,deviating from the original design conditions,resulting in the natural gas pipeline simulation based on the original design parameters in practical applications,vulnerable to model parameters Inaccuracy produces deviations in the simulation results and affects the decision-making and operation management of the pipeline system.In view of the deviation of pipeline system simulation results,this paper proposes an adaptive method of natural gas pipeline simulation model based on optimization algorithm.This method is mainly based on dynamic simulation,using the least square method to establish an adaptive optimization model of pipeline simulation model,adopting AGA(Adaptive Genetic Algorithm)realizes the efficient solution of the optimization model,and achieves the purpose of improving the accuracy of the dynamic simulation model by modifying the pipeline parameters.First,based on the dynamic simulation theory,a dynamic simulation model based on the characteristic line method is established,and the Runge-Kutta method is used to achieve the accurate solution of its initial conditions.The actual simulation results verify that the dynamic simulation results and actual observations of this simulation method are only 0.5% verifying it has high accuracy.Then,through 200 sets of comparative tests,the degree of deviation of the dynamic simulation results caused by the five parameters of compression factor,pipe diameter,pipe length,elevation,and pipe wall roughness under the respective deviation gradients was analyzed.The results show that the key parameters affecting the dynamic simulation are pipe diameter and pipe.Length,elevation,pipe wall roughness parameters.Finally,according to the model parameter inversion theory,an adaptive optimization model suitable for dynamic simulation parameter inversion is established,and AGA adaptive genetic algorithm is used to realize the coupled solution of the optimization model and dynamic simulation.Based on the research results,the Python programming language is used to program the natural gas pipeline simulation model adaptive method.The application of YJ pipeline example shows that this method can achieve the best correction of pipe diameter,pipe length,elevation,and pipe wall roughness,which reduces the simulated pressure deviation of YJ pipeline from the original deviation of 23.6k Pa to 4.5k Pa Improving pipeline simulation accuracy and calibrating model parameters have strong applicability.