摘要：The natural gas pipeline network is an important part of the integrated energy system. The optimal control of the integrated energy system requires accurate transient online simulation of the natural gas pipeline network. However, the existing relevant research does not make enough use of the measured data, resulting in low simulation accuracy. Therefore, a high-accuracy online transient simulation framework is proposed from four perspectives: transient simulation model selection, model parameters settings, measured data processing, and model error compensation. In this framework, measured data is fully used to improve simulation accuracy by integrating multiple physics-based and data-driven methods. First, the simulation model based on the finite volume method is selected as the basic physics-based model. Then measured data are processed based on the 3 times standard deviation method and moving average filtering to drive the simulation model. To set suitable model parameters, a data-driven method combining with the Kriging model and genetic algorithm is proposed to simultaneously identify the two key parameters of roughness and heat transfer coefficient. In addition, the final simulation errors of the physics-based model are compensated by combining the data-driven model in three modes, namely supplement, embedment, and integration. Two cases of an actual single pipeline and a complex pipeline network illustrate the applicability of the proposed framework and verify the advantage of the integrated data-driven and physics-based methods. Compared with measured data, the final simulation errors of mass flow and temperature are 0.3279% and 0.1036%, respectively. Under the trend of delicacy and intelligent operation of natural gas pipeline network, the proposed framework provides a theoretical basis for the online simulation application. ? 2022 Elsevier Ltd

ISSN号：0306-2619

卷、期、页：v 333,2023

发表日期：2023-03-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：一区

收录情况：EI（工程索引）

发表期刊名称：Applied Energy

参与作者：Luo, Yinwei,Ding, Yi,Gao, Jianfeng,Hong, Bingyuan

通讯作者：殷雄

第一作者：温凯,黄维和,宫敬

论文类型：期刊论文

论文概要：殷雄,温凯,黄维和,Luo, Yinwei,Ding, Yi,宫敬,Gao, Jianfeng,Hong, Bingyuan，A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods，Applied Energy，2023，v 333,2023

论文题目：A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods