Supply reliability assessment of a gas pipeline network under stochastic demands

An integrated methodology to assess the gas supply reliability of a gas pipeline network considering stochastic demands is proposed in this study. Typical scenarios are selected based on the structural reliability calculated by probability theory and stochastic process, including the normal scenario and some failure scenarios with a high probability. For each specific scenario, the gas supply condition is assessed based on the Latin hypercube sampling with the Cholesky decomposition method under stochastic demands. The maximum flow method based on the Dijkstra algorithm is adopted to determine whether the gas demand of customers can be fully covered and optimize the supply scheme under shortages. Finally, the assessment results are demonstrated from the following four aspects: the probability distribution of gas shortages under the normal scenario, identification of units with a high failure probability and vulnerable units, the reasons of gas supply shortages and corresponding probabilities, and the probability distribution of supply reliability for a gas pipeline network and each customer. The methodology is applied to a large-scale gas pipeline network in China. The results of the supply reliability assessment are analyzed in detail, and the sensitivity analysis of the gas demand uncertainty level on gas supply reliability is conducted.

Automated summary

An integrated methodology is proposed to assess the gas supply reliability of a gas pipeline network considering stochastic demands. The methodology includes selecting typical scenarios, assessing gas supply conditions using Latin hypercube sampling with the Cholesky decomposition method, and optimizing supply schemes using the Dijkstra algorithm. The assessment results cover probability distributions of gas shortages, identification of vulnerable units, reasons for gas supply shortages, and supply reliability for both the network and individual customers.