优化遗传算法在天然气管网流量分配过程模拟计算中的应用

Application of Optimization Genetic Algorithm in the Simulation Calculation of Flow Distribution Process of Natural Gas Pipeline Network

在天然气管网流动过程中,多根管道连接处气体流动不均匀,流量分配的损失难以精确计算,对下游管道天然气参数带来计算误差。以管网实际数据为基础,构建了流量分配多目标优化模型,采用线性化方法处理控制方程,通过对边界条件的选取,将多目标优化模型简化为单目标优化模型,并将控制矩阵改写为可以使用TDMA方法求解的三点格式。使用遗传算法求解流量分配后各参数,通过监测计算误差对计算模型及时修正,对管网后续流量分配过程进行计算。结果表明,该方法可以准确模拟天然气管网流量分配过程,压力、流量的最大相对误差分别为0.15%、0.31%,温度误差为0.16 K,满足能量计量要求。

In the flow process of natural gas pipeline network,the gas flow is not uniform at the connection of multiple pipelines,and the loss of flow distribution is difficult to be accurately calculate,which brings calculation errors to the natural gas parameters of downstream pipelines.Based on the actual data of the pipe network,a multi-objective optimization model of flow distribution is constructed,the control equations are processed by linearization method,the multi-objective optimization model is simplified into a single-objective optimization model by selecting boundary conditions.The control matrix is adapted to a three-point format that can be solved using the T DMA method.The genetic algorithm is used to solve the parameters after flow distribution,and the model is corrected in time by monitoring the calculation error,and the subsequent flow distribution process of the pipe network is calculated.The results show that the method can accurately simulate the flow distribution process of natural gas pipeline network,and the maximum errors of pressure,temperature and flow are 0.15%and 0.31%,respectively,and the temperature error is 0.16 K,which meets the requirements of energy measurement.