IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v249y2022ics036054422200576x.html
   My bibliography  Save this article

Security assessment of electricity-gas-heat integrated energy systems based on the vulnerability index

Author

Listed:
  • Tian, Xingtao
  • Lin, Xiaojie
  • Zhong, Wei
  • Zhou, Yi

Abstract

Integrated energy systems (IES) realize the coupling of different energy flows and help to improve energy efficiency and increase renewable energy consumption. However, due to the coupling effect, variation of operation parameters in one energy flow can be propagated to other ones through the coupling equipment, which results in complex security problems of IES. Here, we propose a security assessment method based on the vulnerability index (VI) for electricity-gas-heat IES. The vulnerability index combines the current values of state variables, operation limits, and sensitivity factors between state variables and control variables simultaneously. Current values are obtained by the solution of the steady-state IES model by the decomposed Newton-Raphson method. Sensitivity factors are derived based on the Jacobian matrix in the IES model. VI matrixes for IES with different control modes are formulated and deduced. The vulnerable state variables and the key control variables are identified based on the VI matrixes. A case study is conducted to validate the proposed method. Vulnerable state variables and key control variables are identified by the absolute value of vulnerability index with the upward and downward adjustment of control variables. These results are verified by energy flow calculations, which show that vulnerable state variables and key control variables derived by vulnerability index are more accurate than those identified by sensitivity factors. In the situations of determining electricity based on heat and determining heat based on electricity, the method proposed herein is 1.73 and 22.45 times faster than energy flow calculations respectively.

Suggested Citation

  • Tian, Xingtao & Lin, Xiaojie & Zhong, Wei & Zhou, Yi, 2022. "Security assessment of electricity-gas-heat integrated energy systems based on the vulnerability index," Energy, Elsevier, vol. 249(C).
  • Handle: RePEc:eee:energy:v:249:y:2022:i:c:s036054422200576x
    DOI: 10.1016/j.energy.2022.123673
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422200576X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123673?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    2. Dancker, Jonte & Klabunde, Christian & Wolter, Martin, 2021. "Sensitivity factors in electricity-heating integrated energy systems," Energy, Elsevier, vol. 229(C).
    3. Clegg, Stephen & Mancarella, Pierluigi, 2019. "Integrated electricity-heat-gas modelling and assessment, with applications to the Great Britain system. Part II: Transmission network analysis and low carbon technology and resilience case studies," Energy, Elsevier, vol. 184(C), pages 191-203.
    4. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Badakhshan, Sobhan & Hajibandeh, Neda & Shafie-khah, Miadreza & Catalão, João.P.S., 2019. "Impact of solar energy on the integrated operation of electricity-gas grids," Energy, Elsevier, vol. 183(C), pages 844-853.
    6. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2016. "Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow," Applied Energy, Elsevier, vol. 167(C), pages 230-243.
    7. Sun, Qiuye & Dong, Qianyu & You, Shi & Li, Zhibo & Wang, Rui, 2020. "A unified energy flow analysis considering initial guesses in complex multi-energy carrier systems," Energy, Elsevier, vol. 213(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kang, Duan, 2024. "The establishment of evaluation systems and an index for energy superpower," Applied Energy, Elsevier, vol. 356(C).
    2. Tan, Jinjing & Pan, Weiqi & Li, Yang & Hu, Haoming & Zhang, Can, 2023. "Energy-sharing operation strategy of multi-district integrated energy systems considering carbon and renewable energy certificate trading," Applied Energy, Elsevier, vol. 339(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian, Hang & Zhao, Haoran & Liu, Chunyang & Chen, Jian & Wu, Qiuwei & Terzija, Vladimir, 2022. "A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system," Applied Energy, Elsevier, vol. 314(C).
    2. Zhang, Tao & Li, Guojun & Wei, Linyang & Ji, Wenchao & Qiu, Yong & Zhang, Qinrui, 2024. "A novel dynamic simulation strategy for regional integrated energy system considering coupling components failure," Energy, Elsevier, vol. 295(C).
    3. Yao, Shuai & Gu, Wei & Wu, Jianzhong & Lu, Hai & Zhang, Suhan & Zhou, Yue & Lu, Shuai, 2022. "Dynamic energy flow analysis of the heat-electricity integrated energy systems with a novel decomposition-iteration algorithm," Applied Energy, Elsevier, vol. 322(C).
    4. Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
    5. Zhang, Suhan & Gu, Wei & Qiu, Haifeng & Yao, Shuai & Pan, Guangsheng & Chen, Xiaogang, 2021. "State estimation models of district heating networks for integrated energy system considering incomplete measurements," Applied Energy, Elsevier, vol. 282(PA).
    6. Chi, Lixun & Su, Huai & Zio, Enrico & Qadrdan, Meysam & Zhou, Jing & Zhang, Li & Fan, Lin & Yang, Zhaoming & Xie, Fei & Zuo, Lili & Zhang, Jinjun, 2023. "A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model," Energy, Elsevier, vol. 263(PB).
    7. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    8. Ma, Houzhen & Liu, Chunyang & Zhao, Haoran & Zhang, Hengxu & Wang, Mengxue & Wang, Xiaobing, 2023. "A novel analytical unified energy flow calculation method for integrated energy systems based on holomorphic embedding," Applied Energy, Elsevier, vol. 344(C).
    9. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    10. Li, Peng & Li, Shuang & Yu, Hao & Yan, Jinyue & Ji, Haoran & Wu, Jianzhong & Wang, Chengshan, 2022. "Quantized event-driven simulation for integrated energy systems with hybrid continuous-discrete dynamics," Applied Energy, Elsevier, vol. 307(C).
    11. Dancker, Jonte & Klabunde, Christian & Wolter, Martin, 2021. "Sensitivity factors in electricity-heating integrated energy systems," Energy, Elsevier, vol. 229(C).
    12. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    13. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Pan, Bo & Qi, Shiqiang, 2020. "Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power," Applied Energy, Elsevier, vol. 275(C).
    14. He, Ke-Lun & Chen, Qun & Ma, Huan & Zhao, Tian & Hao, Jun-Hong, 2020. "An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint," Energy, Elsevier, vol. 211(C).
    15. Yang, Weijia & Huang, Yuping & Zhao, Daiqing, 2023. "A coupled hydraulic–thermal dynamic model for the steam network in a heat–electricity integrated energy system," Energy, Elsevier, vol. 263(PC).
    16. Beigvand, Soheil Derafshi & Abdi, Hamdi & La Scala, Massimo, 2017. "A general model for energy hub economic dispatch," Applied Energy, Elsevier, vol. 190(C), pages 1090-1111.
    17. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    18. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    19. Fu, Xueqian & Guo, Qinglai & Sun, Hongbin & Zhang, Xiurong & Wang, Li, 2017. "Estimation of the failure probability of an integrated energy system based on the first order reliability method," Energy, Elsevier, vol. 134(C), pages 1068-1078.
    20. Hinkelman, Kathryn & Wang, Jing & Zuo, Wangda & Gautier, Antoine & Wetter, Michael & Fan, Chengliang & Long, Nicholas, 2022. "Modelica-based modeling and simulation of district cooling systems: A case study," Applied Energy, Elsevier, vol. 311(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:249:y:2022:i:c:s036054422200576x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.