摘要：Based on the consideration of user weights and user satisfaction, the topology of the natural gas pipeline network is simplified based on a Graph Theory approach, and a natural gas pipeline network emergency dispatch optimization model is constructed. The model aims at maximizing overall satisfaction considering user weights, taking into account constraints such as user supply satisfaction constraint, user supply reduction constraint and actual supply constraint, and the optimization model is solved using the Particle Swarm Optimization (PSO). The optimization model is applied to a European pipeline network and four possible disturbances are set up to analyze the changes in user satisfaction in the affected area. The results of the optimization algorithm show that: on the one hand, the reasonable classification and weighting of key users can effectively improve the gas transmission efficiency of the pipeline network; on the other hand, the different degrees of supply reduction of users in the gas pipeline network can effectively avoid the extreme situation after the disturbance of the pipeline network. On the other hand, the different levels of supply reduction for users in the gas pipeline network can effectively avoid extreme situations after the disturbance of the network. In addition, user satisfaction can be more clearly adjusted according to the actual amount of gas supplied by users, so that when the demand of users is low, the amount of user supply reduction is small, and when the demand of users is large, the amount of user supply reduction can be appropriately increased to meet the emergency dispatch of the pipeline network. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

ISSN号：2211-0984

卷、期、页：卷146：481-491

发表日期：2024-01-01

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）

发表期刊名称：Mechanisms and Machine Science

参与作者：玉德俊,宁西飞

通讯作者：向旗,杨兆铭,何倩

第一作者：苏怀

论文类型：会议论文

论文概要：玉德俊,宁西飞,向旗,杨兆铭,何倩,苏怀，Optimization Method of Natural Gas Pipeline Network Emergency Dispatch Based on Particle Swarm Optimization，Mechanisms and Machine Science，2024，卷146：481-491

论文题目：Optimization Method of Natural Gas Pipeline Network Emergency Dispatch Based on Particle Swarm Optimization