Dynamic Simulation Algorithm of Integrated Energy System Natural Gas Network Based on Time-domain Two-port Model

被引：0

作者：

Li Y. ^{[1
]}

Xu J. ^{[1
]}

Wang K. ^{[2
]}

机构：

[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Minhang District, Shanghai

[2] Shanghai Non-Carbon Energy Conversion, Utilization Institute, Minhang District, Shanghai

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2024年 / 44卷 / 08期

关键词：

characteristics method; integrated energy system(IES); natural gas network; spatial distribution matrixes; time-domain two-port model;

D O I：

10.13334/j.0258-8013.pcsee.230419

中图分类号：

学科分类号：

摘要：

To realize the multi-gradient utilization of energy and reduce environmental pollution, the integrated energy system (IES) coupling with electricity and natural gas generally occupies a significant part of the global energy structure. To clarify the operation characteristics of the system and fully tap the dispatching potential of the energy sub-network, the dynamic simulation researches of the integrated energy system are gradually deepened. In the natural gas network, the pipeline transmission process has a profound impact on its dynamic process. However, the existing pipeline transmission process time-domain simulation algorithms have a dilemma of accuracy and efficiency. To handle the above problems, a dynamic simulation algorithm of integrated energy system gas network based on time-domain two-port model is proposed. First, based on the characteristic method, the source-load node relationship matrix of the gas network is constructed, and the time-domain two-port model is further given. Then, referring to the numerical format of the characteristic method, the spatial distribution matrixes of the state quantity are constructed to obtain the state quantity distribution of the gas network, and a dynamic simulation algorithm of the gas network based on the time-domain two-port model and distribution matrixes is proposed. The numerical results show that the proposed method has two advantages of high efficiency and high accuracy, and it is suitable for the long-term simulation of the integrated energy system with gas-electric coupling. ©2024 Chin.Soc.for Elec.Eng.

引用

页码：3093 / 3104

页数：11

共 25 条

[1]

World energy outlook 2010[R], (2010)

[2]

SUN Guoqiang, CHEN Shuang, WEI Zhinong, Probabilistic optimal power flow of combined natural gas and electric system considering correlation [J], Automation of Electric Power Systems, 39, 21, pp. 11-17, (2015)

[3]

Xuezhi LIU, MANCARELLA P．, Modelling，assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems [J], Applied Energy, 167, pp. 336-352, (2016)

[4]

Xuezhi LIU, Jianzhong WU, JENKINS N, Combined analysis of electricity and heat networks [J], Applied Energy, 162, pp. 1238-1250, (2016)

[5]

WANG Weiliang, WANG Dan, JIA Hongjie, Steady state analysis of electricity-gas regional integrated energy system with consideration of NGS network status [J], Proceedings of the CSEE, 37, 5, pp. 1293-1304, (2017)

[6]

Da XIE, Aikang CHEN, Chenghong GU, Time-domain modeling of grid-connected CHP for its interaction with the power grid[J], IEEE Transactions on Power Systems, 33, 6, pp. 6430-6440, (2018)

[7]

HIBBARD P J, SCHATZKI T．, The interdependence of electricity and natural gas：Current factors and future prospects[J], The Electricity Journal, 25, 4, pp. 6-17, (2012)

[8]

XIA Yue, CHEN Ying, DU Songhuai, Key technologies for multi-time-scale dynamic time-domain simulation of integrated energy system[J], Automation of Electric Power Systems, 46, 10, pp. 97-110, (2022)

[9]

Qing LI, AN S, GEDRA T W．, Solving natural gas loadflow problems using electric loadflow techniques[C], Proceedings of the North American Power Symposium, pp. 1-7, (2003)

[10]

CINTRA C R, BORGES C L T, FALCAO D M．, A simplified operation planning model considering natural gas network and reservoir constraints[C], IEEE PES T&D 2010, pp. 1-7, (2010)

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