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LNG接收站天然气外输管网优化调度

张振生 林素辉 边远 王刚 潘明

石油与天然气化工2025,Vol.54Issue(4):43-49,7.
石油与天然气化工2025,Vol.54Issue(4):43-49,7.DOI:10.3969/j.issn.1007-3426.2025.04.006

LNG接收站天然气外输管网优化调度

Optimal scheduling of natural gas pipeline networks in LNG terminal

张振生 1林素辉 1边远 1王刚 1潘明2

作者信息

  • 1. 中海福建天然气有限责任公司
  • 2. 工数科技(广州)有限公司
  • 折叠

摘要

Abstract

Objective To address issues such as insufficient utilization of peak-valley electricity price,strong reliance on manual experience,and lagged response to sudden load changes in the scheduling of LNG terminal pipeline networks,an intelligent optimal scheduling model based on real-time data is developed to reduce output costs and enhance gas supply stability.Method By thoroughly studying the operational characteristics of LNG terminal pipeline network systems,an optimal scheduling model has been established with the objective of minimizing daily electricity costs for high-pressure pumps.The model comprehensively considers network capacity constraints,equipment operational characteristics,and the peak-valley electricity price differences in the power market,and has been solved using nonlinear optimization algorithms.Leveraging the Intelligent Agent Platform from Gongshu Technology to interface with DCS and SCADA systems,a three-level optimization strategy has been implemented,including planned scheduling(24-hour cycle),real-time scheduling(5-minute response),and medium-term scheduling(multi-day coordinated optimization).Result Validation under typical operating conditions in Fujian showed that the optimal scheduling scheme increased the number of high-pressure pumps operating during off-peak periods(0:00-8:00)by 33.33%and reduced electricity consumption during peak periods(9:00-12:00,15:00-18:00)by 10.71%.Actual operational data indicated a daily electricity cost saving of 5.81%,with network pressure fluctuations controlled within±0.5 MPa and sudden load response time shortened to 5 minutes.Conclusion The proposed intelligent scheduling model overcomes the limitations of traditional experience-based scheduling.Through multi-time-scale coordinated optimization,it achieves a balance between safety and economic efficiency.This technology can be extended to similar LNG terminals,with an estimated annual electricity cost saving of over 3 million yuan per terminal,providing a model for the intelligent transformation of energy facilities under the"dual-carbon"goals.

关键词

LNG接收站/天然气外输管网/优化调度/峰谷电价/高压泵/智能体平台

Key words

LNG terminal/natural gas pipeline network/optimization scheduling/peak-valley electricity price/high-pressure pump/intelligent agent platform

引用本文复制引用

张振生,林素辉,边远,王刚,潘明..LNG接收站天然气外输管网优化调度[J].石油与天然气化工,2025,54(4):43-49,7.

基金项目

国家自然科学基金面上项目"化工厂智能生产"单元—过程—整厂"多尺度耦合集成与动态解耦方法研究"(22078372) (22078372)

石油与天然气化工

OA北大核心

1007-3426

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