IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v168y2022ics1364032122007377.html
   My bibliography  Save this article

Decentralized cooperation of natural gas and power systems with preserved privacy and decision-making independence

Author

Listed:
  • Nikoobakht, Ahmad
  • Aghaei, Jamshid
  • Mendes, Gonçalo Pinto
  • Vahidinasab, Vahid

Abstract

Modern power systems are likely to suffer from cascading contingencies, which pose multiple challenges to operators. In the event of such contingencies, power system operators must implement corrective actions, which could either be load curtailment or fast-ramping of generation assets, such as natural gas-fired units. Nevertheless, increased utilization of these units makes the power system vulnerable to gas pressure loss and interruption in the natural gas supply. Thus, it is essential to deliberate on the security constraints of natural gas networks in the operation of power systems. Nevertheless, the state-of-the-art energy flow models, applicable to both power and gas energy systems, are incapable of handling the complex relations between cascading contingencies and pipeline gas pressure loss. This study investigates an alternative approach that incorporates a novel AC power flow model and a dynamic gas flow model to treat these energy system interactions in an interoperable and simultaneous manner. Furthermore, electricity and natural gas system operators are independent of one another, which allows information privacy to be maintained. Using a hierarchical iterative algorithm covering both energy systems, the decentralized decision-making outlined in this paper ensures that only a very limited amount of information can be shared between the power system and the natural gas system operators, thus ensuring privacy. Finally, the numerical simulation is carried out on modified IEEE 30-bus electricity and 10-node gas systems and also on a larger test system of the IEEE 118-bus electricity and 10-node gas systems to demonstrate the efficiency of the proposed framework and the adopted decentralized approach.

Suggested Citation

  • Nikoobakht, Ahmad & Aghaei, Jamshid & Mendes, Gonçalo Pinto & Vahidinasab, Vahid, 2022. "Decentralized cooperation of natural gas and power systems with preserved privacy and decision-making independence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    • Handle: RePEc:eee:rensus:v:168:y:2022:i:c:s1364032122007377
    DOI: 10.1016/j.rser.2022.112855
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122007377
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112855?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. Nikoobakht, Ahmad & Aghaei, Jamshid & Mardaneh, Mohammad, 2017. "Securing highly penetrated wind energy systems using linearized transmission switching mechanism," Applied Energy, Elsevier, vol. 190(C), pages 1207-1220.
    2. Nikoobakht, Ahmad & Aghaei, Jamshid & Fallahzadeh-Abarghouei, Hossein & Hemmati, Rasul, 2019. "Flexible Co-Scheduling of integrated electrical and gas energy networks under continuous and discrete uncertainties," Energy, Elsevier, vol. 182(C), pages 201-210.
    Full references (including those not matched with items on IDEAS)

    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. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    2. Mohseni-Bonab, Seyed Masoud & Kamwa, Innocent & Rabiee, Abbas & Chung, C.Y., 2022. "Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties," Applied Energy, Elsevier, vol. 305(C).
    3. Yan, Mingyu & Teng, Fei & Gan, Wei & Yao, Wei & Wen, Jinyu, 2023. "Blockchain for secure decentralized energy management of multi-energy system using state machine replication," Applied Energy, Elsevier, vol. 337(C).
    4. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2021. "Uncertainty analysis of the impact of increasing levels of gas and electricity network integration and storage on Techno-Economic-Environmental performance," Energy, Elsevier, vol. 222(C).
    5. Hang Liu & Shilin Nie, 2019. "Low Carbon Scheduling Optimization of Flexible Integrated Energy System Considering CVaR and Energy Efficiency," Sustainability, MDPI, vol. 11(19), pages 1-27, September.
    6. Gargari, Milad Zamani & Hagh, Mehrdad Tarafdar & Zadeh, Saeid Ghassem, 2021. "Preventive maintenance scheduling of multi energy microgrid to enhance the resiliency of system," Energy, Elsevier, vol. 221(C).
    7. Nikoobakht, Ahmad & Aghaei, Jamshid & Khatami, Roohallah & Mahboubi-Moghaddam, Esmaeel & Parvania, Masood, 2019. "Stochastic flexible transmission operation for coordinated integration of plug-in electric vehicles and renewable energy sources," Applied Energy, Elsevier, vol. 238(C), pages 225-238.
    8. Peker, Meltem & Kocaman, Ayse Selin & Kara, Bahar Y., 2018. "Benefits of transmission switching and energy storage in power systems with high renewable energy penetration," Applied Energy, Elsevier, vol. 228(C), pages 1182-1197.
    9. Xu, Jiuping & Liu, Liying & Wang, Fengjuan, 2022. "Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China," Energy, Elsevier, vol. 240(C).
    10. Paul Masache & Diego Carrión & Jorge Cárdenas, 2021. "Optimal Transmission Line Switching to Improve the Reliability of the Power System Considering AC Power Flows," Energies, MDPI, vol. 14(11), pages 1-17, June.
    11. 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).
    12. Zhang, Mingyang & Zhou, Ming & Wu, Zhaoyuan & Yang, Hongji & Li, Gengyin, 2022. "A ramp capability-aware scheduling strategy for integrated electricity-gas systems," Energy, Elsevier, vol. 241(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:rensus:v:168:y:2022:i:c:s1364032122007377. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.