考虑上游资源的天然气管网供气可靠性确定方法及装置
By establishing a model that considers the uncertainty of upstream gas supply capacity, and combining the failure rate and maintenance rate of pipeline units, the time-series Monte Carlo algorithm is used to simulate the system state transition, thus solving the problem of upstream resource uncertainty in the calculation of gas supply reliability of natural gas pipeline network, and realizing more accurate reliability assessment and gas supply guarantee.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF PETROLEUM (BEIJING)
- Filing Date
- 2023-02-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for calculating the reliability of natural gas pipeline supply fail to effectively account for the uncertainty of upstream resource supply capacity, resulting in calculation results that do not match the actual situation.
By collecting historical failure data and gas supply data, an upstream resource gas supply capacity calculation model considering uncertainties is established. Combining the failure rate and maintenance rate of pipeline units, a time-series Monte Carlo algorithm is used to simulate system state transitions and calculate the reliability of the natural gas pipeline network.
To more accurately assess the reliability of natural gas pipeline supply, provide scientific recommendations for supply security decisions, and improve the safe and efficient operation of the pipeline network and the level of user demand assurance.
Smart Images
Figure CN116127666B_ABST