天然气管网系统的稳态安全域模型

doi:10.7623/syxb202108011

石油学报 ›› 2021, Vol. 42 ›› Issue (8): 1103-1112.DOI: 10.7623/syxb202108011

天然气管网系统的稳态安全域模型

肖峻, 宋晨辉, 鲍震宇, 李瑾一

天津大学智能电网教育部重点实验室天津 300072

收稿日期:2020-05-02 修回日期:2021-03-18 出版日期:2021-08-25 发布日期:2021-08-31
通讯作者: 宋晨辉,男,1993年6月生,2015年获河北大学学士学位,2018年获东北大学硕士学位,现为天津大学博士研究生,主要从事天然气管网安全可靠输气与综合能源安全性的研究工作。Email:songchenhui66399@163.com
作者简介:肖峻,男,1971年10月生,1994年获天津大学学士学位,2003年获天津大学博士学位,现为天津大学教授、博士生导师,主要从事能源系统规划与运行安全性的研究工作。Email:xiaojun@tju.edu.cn
基金资助:
国家自然科学基金项目（No.51877144）资助。

Steady-state security region model of the natural gas transmission system

Xiao Jun, Song Chenhui, Bao Zhenyu, Li Jinyi

MOE Key Laboratory of Smart Grid, Tianjin University, Tianjin 300072, China

Received:2020-05-02 Revised:2021-03-18 Online:2021-08-25 Published:2021-08-31

摘要/Abstract

摘要： 参考电力系统的安全域概念，提出了天然气管网系统安全域（NGS-SR）的稳态模型、可视化与应用方法。NGS-SR能描述系统全部的安全状态；传统稳态仿真分析只能判断单个状态的安全性。对NGS-SR进行了定义：NGS-SR为系统运行时，所有安全工作点构成的集合；建立了NGS-SR的稳态模型，模型充分考虑了管道压降、节点流量与压力约束等安全要素。提出了NGS-SR安全边界的定义与模型；安全边界是NGS-SR中所有临界安全工作点的集合，NGS-SR是由安全边界围成的封闭区域。通过观测工作点的安全分界现象以说明安全边界的存在，并提出了NGS-SR的观测方法。提出了NGS-SR安全距离的概念与计算方法，对基于NGS-SR安全距离的安全性评估和安全控制进行了说明，简述了如何利用NGS-SR指导系统运行。算例验证了NGS-SR的存在性以及所建立模型与方法的正确性，并与传统安全分析方法进行了对比。NGS-SR描述了天然气管网系统的安全运行范围，可提供丰富的安全控制信息，有助于实现在线安全分析。

关键词: 天然气管网系统, 安全域, 边界, 稳态模型, 安全距离

Abstract: The steady-state model, visualization method and application of the security region of natural gas transmission system (NGS-SR)are proposed in this study. NGS-SR can describe all the secure states of the system, while the traditional stead-state simulation can only estimate the security of single state each time. First, NGS-SR is defined as being the set of all secure operating points during system operation. Second, the steady-state model of NGS-SR has been established when fully considering the security factors such as pressure drop of pipe, node flow and pressure constraints. The security boundary is defined as the set of all critical operating points in NGS-SR, and NGS-SR is a closed area surrounded by the security boundary; the model of NGS-SR is also proposed. Third, the dividing phenomenon of the operating points is observed to indicate the existence of security boundary, and the observation method of NGS-SR is also proposed. Forth, this paper puts forwards the concept and calculation method of security distance of NGS-SR, illustrates the security assessment and preventive control based on security distance and briefly describes the way of using NGS-SR to guide the system operation. Finally, the existence, model and relevant methods of NGS-SR are verified by cases. NGS-SR describes the secure operation range of natural gas pipeline network system in a visualized way, it can also provide rich information of security control and is beneficial to realize the online security analysis.

Key words: natural gas pipeline network system, security region, boundary, steady-state model, security distance

中图分类号:

TE832

肖峻, 宋晨辉, 鲍震宇, 李瑾一. 天然气管网系统的稳态安全域模型[J]. 石油学报, 2021, 42(8): 1103-1112.

Xiao Jun, Song Chenhui, Bao Zhenyu, Li Jinyi. Steady-state security region model of the natural gas transmission system[J]. Acta Petrolei Sinica, 2021, 42(8): 1103-1112.

参考文献

[1] 杨剑锋, 杜金虎, 杨勇, 等.油气行业数字化转型研究与实践[J].石油学报, 2021, 42(2):248-258.
YANG Jianfeng, DU Jinhu, YANG Yong, et al.Research and practice on digital transformation of the oil and gas industry[J].Acta Petrolei Sinica, 2021, 42(2):248-258.
[2] 张劲军, 苏怀, 高鹏.天然气管网韧性保供问题及其研究展望[J].石油学报, 2020, 41(12):1665-1678.
ZHANG Jinjun, SU Huai, GAO Peng.Resilience-based supply assurance of natural gas pipeline networks and its research prospects[J].Acta Petrolei Sinica, 2020, 41(12):1665-1678.
[3] Interim report into the low frequency demand disconnection (LFDD)following generator trips and frequency excursion on 9 Aug 2019, ESO, U.K., 2019[EB/OL].(2019-08-16). https://www.nationalgrideso.com/document/151081/download.
[4] DELL'ISOLA M, FICCO G, LAVALLE L, et al.A resilience assessment simulation tool for distribution gas networks[J].Journal of Natural Gas Science and Engineering, 2020, 84:103680.
[5] YU Weichao, SONG Shangfei, LI Yichen, et al.Gas supply reliability assessment of natural gas transmission pipeline systems[J].Energy, 2018, 162, 853-870.
[6] CHEN Qian, ZUO Lili, WU Changchun, et al.Short-term supply reliability assessment of a gas pipeline system under demand variations[J].Reliability Engineering & System Safety, 2020, 202:107004.
[7] 李明菲, 薛向东, 马健, 等.复杂天然气管网系统运行期可靠性评价体系[J].油气储运, 2019, 38(7):738-744.
LI Mingfei, XUE Xiangdong, MA Jian, et al.A reliability evaluation system of complex gas pipeline network system in the operation period[J].Oil & Gas Storage and Transportation, 2019, 38(7):738-744.
[8] 温文, 艾慕阳, 李煜津, 等.基于管网可靠度的天然气市场满意度评价[J].油气储运, 2019, 38(4):385-391.
WEN wen, AI Muyang, LI Yujin, et al.Evaluation on satisfaction of natural gas market based on pipeline network reliability[J].Oil & Gas Storage and Transportation, 2019, 38(4):385-391.
[9] SU Huai, ZIO E, ZHANG Jinjun, et al.A method for the multi-objective optimization of the operation of natural gas pipeline networks considering supply reliability and operation efficiency[J].Computers & Chemical Engineering, 2019, 131:106584.
[10] OSIADACZ A J.Method of steady-state simulation of a gas network[J].International Journal of Systems Science, 1988, 19(11):2395-2405.
[11] 王寿喜, 曾自强.管网稳态分析[J].石油学报, 1987, 8(4):117-124.
WANG Shouxi, ZENG Ziqiang.Node pressure model for network steady-state analysis[J].Acta Petrolei Sinica, 1987, 8(4):117-124.
[12] 白建辉, 汪玉春, 郜峰, 等.天然气管网稳态分析综合方法[J].油气储运, 2009, 28(2):37-39.
BAI Jianhui, WANG Yuchuan, GAO Feng, et al.Combination-based algorithm for steady analysis of natural gas pipeline network[J].Oil & Gas Storage and Transportation, 2009, 28(2):37-39.
[13] SUN Qian, AYALA L F.A linear-rate analog approach for the analysis of natural gas transportation networks[J].Journal of Natural Gas Science and Engineering, 2017, 43:230-241.
[14] ABEYSEKERA M, WU J, JENKINS N, et al.Steady state analysis of gas networks with distributed injection of alternative gas[J].Applied Energy, 2016, 164:991-1002.
[15] 李长俊, 江茂泽, 谭小平.输气管道中的不稳定流动分析[J].石油学报, 1998, 19(4):99-103.
LI Changjun, JIANG Maoze, TAN Xiaoping.An analysis of gas unsteady flow in pipeline system[J].Acta Petrolei Sinica, 1998, 19(4):99-103.
[16] 郑建国, 陈国群, 宋飞, 等.大型天然气管网仿真模型及其求解技术研究[J].系统仿真学报, 2012, 24(6):1339-1344.
ZHENG Jianguo, CHEN Guoqun, SONG Fei, et al.Research on simulation model and solving technology of large scale gas pipe network[J].Journal of System Simulation, 2012, 24(6):1339-1344.
[17] 邹才能, 何东博, 贾成业, 等.世界能源转型内涵、路径及其对碳中和的意义[J].石油学报, 2021, 42(2):233-247.
ZOU Caineng, HE Dongbo, JIA Chengye, et al.Connotation and pathway of world energy transition and its significance for carbon neutral[J].Acta Petrolei Sinica, 2021, 42(2):233-247.
[18] 徐秀芬, 李泓霏, 刘国豪.加气站压缩机组效率计算新方法[J].石油学报, 2020, 41(8):1019-1024.
XU Xiufen, LI Hongfei, LIU Guohao.A new method for calculating the efficiency of compressor set in gas stations[J].Acta Petrolei Sinica, 2020, 41(8):1019-1024.
[19] OLORUNNIWO F O, JENSEN P A.Optimal capacity expansion policy for natural gas transmission networks-a decomposition approach[J].Engineering Optimization, 1982, 6(1):13-30.
[20] 杨毅, 周志斌, 李长俊.天然气用户用气量分配优化模型[J].天然气工业, 2009, 29(4):115-116.
YANG Yi, ZHOU Zhibin, LI Changjun.An optimization model of gas consumption amount allocation for natural gas users[J].Natural Gas Industry, 2009, 29(4):115-116.
[21] VASCONCELOS C D, LOURENÇO S R, GRACIAS A C, et al.Network flows modeling applied to the natural gas pipeline in Brazil[J].Journal of Natural Gas Science and Engineering, 2013, 14:211-224.
[22] TRAN T H, FRENCH S, ASHMAN R, et al.Impact of compressor failures on gas transmission network capability[J].Applied Mathematical Modelling, 2018, 55:741-757.
[23] 高乐, 赵连琢, 蒋万荣, 等.天然气输气压力对管道的影响分析[J].中国石油和化工标准与质量, 2013, 33(15):261.
GAO Le, ZHAO Lianzhuo, JIANG Wanrong, et al.Analysis of influence of gas transmission pressure on pipeline[J].China Petroleum and Chemical Standard and Quality, 2013, 33(15):261.
[24] 郭凌云, 周晶, 代云云.基于不同随机退化过程的腐蚀管道时变失效概率[J].石油学报, 2019, 40(12):1542-1552.
GUO Lingyun, ZHOU Jing, DAI Yunyun.Time-dependent failure probability of corroded pipelines based on different stochastic degradation processes[J].Acta Petrolei Sinica, 2019, 40(12):1542-1552.
[25] HNYILICZA E, LEE S T Y, SCHWEPPE F C.Steady-state security regions:set-theoretic approach[C]//Proc.PICA Conference.New Orleans:PICA, 1975:347-355.
[26] SHANNON C E.Two-way communication channels[C]//Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability.University of California Press, 1961.
[27] XENOS D P, CICCIOTTI M, KOPANOS G M, et al.Optimization of a network of compressors in parallel:Real Time Optimization (RTO)of compressors in chemical plants- an industrial case study[J].Applied Energy, 2015, 144:51-63.
[28] 于兴河, 王建忠, 梁金强, 等.南海北部陆坡天然气水合物沉积成藏特征[J].石油学报, 2014, 35(2):253-264.
YU Xinghe, WANG Jianzhong, LIANG Jinqiang, et al.Depositional accumulation characteristics of gas hydrate in the northern continental slope of South China Sea[J].Acta Petrolei Sinica, 2014, 35(2):253-264.
[29] BURCHETT R C, HEYDT G T.Probabilistic methods for power system dynamic stability studies[J].IEEE Transactions on Power Apparatus and Systems, 1978, PAS-97(3):695-702.
[30] OSIADACZ A, SWIERCZEWSKI S.Optimal control of gas transportation systems[C]//1994 Proceedings of IEEE International Conference on Control and Applications.Glasgow:IEEE, 1994:795-796.
[31] 肖峻, 张宝强, 邵经鹏, 等.配电网安全域的全维观测[J].电力系统自动化, 2018, 42(16):73-79.
XIAO Jun, ZHANG Baoqiang, SHAO Jingpeng, et al.Full-dimensional observation of distribution system security region[J].Automation of Electric Power Systems, 2018, 42(16):73-79.
[32] DE WOLF D, SMEERS Y.The gas transmission problem solved by an extension of the simplex algorithm[J].Management Science, 2000, 46(11):1454-1465.

天然气管网系统的稳态安全域模型

Steady-state security region model of the natural gas transmission system

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	郜益华, 张迎春, 杨宝泉, 李珂, 苑志旺, 康博韬, 张昕, 张旭, 陈国宁. 复杂断块油田跨断层水平井产能预测及分段长度优化方法——以西非A深水油田为例[J]. 石油学报, 2021, 42(7): 948-961.
[2]	邹玮, 余一欣, 刘金水, 蒋一鸣, 唐贤君, 陈石, 余浪. 东海盆地西湖凹陷中央反转构造带发育主控因素及宁波背斜形成过程[J]. 石油学报, 2021, 42(2): 176-185.
[3]	雷浩, 郑有恒, 何建华, 胡振国. 页岩油藏流体渗流特征物理模拟新方法[J]. 石油学报, 2021, 42(10): 1346-1356.
[4]	刘静, 夏军勇, 刘玺, 吴飞鹏, 蒲春生. 低频波对泡沫稳定性协同强化效应[J]. 石油学报, 2020, 41(5): 584-591.
[5]	张运龙, 丁峰, 尹成, 胡光义, 范廷恩, 张显文. 基于地震波形结构属性识别河流相砂体叠置区[J]. 石油学报, 2018, 39(7): 792-801.
[6]	管树巍, 张水昌, 张永庶, 袁选俊, 沈亚, 管俊亚, 孟庆洋, 张斌. 柴达木盆地西部古近系生烃凹陷的边界效应与油气聚集模式[J]. 石油学报, 2017, 38(11): 1217-1229.
[7]	姚振岸, 孙成禹, 石小磊, 刘牧天. 基于曲波变换和各向异性扩散滤波的联合去噪技术[J]. 石油学报, 2016, 37(4): 490-498,507.
[8]	毕海滨, 李建忠, 张君峰, 周明庆. SEC准则证实储量评估中可靠技术应用[J]. 石油学报, 2013, 34(6): 1212-1217.
[9]	黄维和. 大型天然气管网系统可靠性[J]. 石油学报, 2013, 34(2): 401-404.
[10]	王晓冬　郝明强　韩永新 . 启动压力梯度的含义与应用[J]. 石油学报, 2013, 34(1): 188-191.
[11]	张翠梅　刘晓峰. 南堡凹陷边界断层及成盆机制[J]. 石油学报, 2012, 33(4): 581-587.
[12]	孙　海　姚　军　廉培庆　樊冬艳　孙致学. 考虑基岩向井筒供液的压裂水平井非稳态模型[J]. 石油学报, 2012, 33(1): 117-122.
[13]	王晓冬侯晓春郝明强杨涛. 低渗透介质有启动压力梯度的不稳态压力分析[J]. 石油学报, 2011, 32(5): 847-851.
[14]	冯福平艾池杨丰宇孟翔钟鑫. 偏心环空层流顶替滞留层边界位置研究[J]. 石油学报, 2010, 31(5): 858-862.
[15]	侯冰, 陈勉, 金衍, 杨恒林, 张广清. 基于盐岩损伤机理的深部巨厚盐层钻井液密度设计方法[J]. 石油学报, 2009, 30(5): 778-781.