IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v186y2019ics0360544219315610.html
   My bibliography  Save this article

Stochastic expansion planning of gas and electricity networks: A decentralized-based approach

Author

Listed:
  • Khaligh, Vahid
  • Anvari-Moghaddam, Amjad

Abstract

This paper introduces a stochastic decentralized model for coordinating expansion of gas and electricity networks to tackle the interdependency between electricity and gas infrastructures and deal with different challenges incorporated in such co-expansion problem. Different uncertainties including wind power output, interest rate and load growth are considered to have a holistic stochastic approach. Regulatory policy for restricting capacity additions in terms of new renewable installations as well as demand response program are also incorporated in this study to examine the effect of regulatory frameworks and end-users on expansion planning of gas and electricity networks. Moreover, the effect of land area limitations is investigated in expansion plans as a practical consideration. Alternating direction method of multipliers is used as a solution methodology to coordinate expansion of gas and electricity networks with a minimum data exchange. To evaluate the efficiency of the proposed method, results are examined on a realistic case study in Khorasan province of Iran representing high penetration level of gas consuming power plants.

Suggested Citation

  • Khaligh, Vahid & Anvari-Moghaddam, Amjad, 2019. "Stochastic expansion planning of gas and electricity networks: A decentralized-based approach," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219315610
    DOI: 10.1016/j.energy.2019.115889
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219315610
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.115889?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.

    Citations

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


    Cited by:

    1. M. Jenabi & S. M. T. Fatemi Ghomi & S. A. Torabi & Moeen Sammak Jalali, 2022. "An accelerated Benders decomposition algorithm for stochastic power system expansion planning using sample average approximation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1304-1336, December.
    2. Qu, Kaiping & Yu, Tao & Pan, Zhenning & Zhang, Xiaoshun, 2020. "Point estimate-based stochastic robust dispatch for electricity-gas combined system under wind uncertainty using iterative convex optimization," Energy, Elsevier, vol. 211(C).
    3. Baringo, Luis & Boffino, Luigi & Oggioni, Giorgia, 2020. "Robust expansion planning of a distribution system with electric vehicles, storage and renewable units," Applied Energy, Elsevier, vol. 265(C).
    4. Qian, Tong & Tang, Wenhu & Wu, Qinghua, 2020. "A fully decentralized dual consensus method for carbon trading power dispatch with wind power," Energy, Elsevier, vol. 203(C).
    5. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    6. 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).
    7. Yamchi, Hamid Bakhshi & Safari, Amin & Guerrero, Josep M., 2021. "A multi-objective mixed integer linear programming model for integrated electricity-gas network expansion planning considering the impact of photovoltaic generation," Energy, Elsevier, vol. 222(C).
    8. Saravi, Vahid Sabzpoosh & Kalantar, Mohsen & Anvari-Moghaddam, Amjad, 2022. "Resilience-constrained expansion planning of integrated power–gas–heat distribution networks," Applied Energy, Elsevier, vol. 323(C).
    9. He, Shuaijia & Gao, Hongjun & Wang, Lingfeng & Xiang, Yingmeng & Liu, Junyong, 2020. "Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response," Energy, Elsevier, vol. 213(C).
    10. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Hou, Yunhe, 2021. "Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics," Energy, Elsevier, vol. 220(C).
    11. Zhang, Houwang & Wu, Qiuwei & Chen, Jian & Lu, Lina & Zhang, Jiangfeng & Zhang, Shuyi, 2023. "Multiple stage stochastic planning of integrated electricity and gas system based on distributed approximate dynamic programming," Energy, Elsevier, vol. 270(C).
    12. 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).
    13. Masoud Khatibi & Abbas Rabiee & Amir Bagheri, 2023. "Integrated Electricity and Gas Systems Planning: New Opportunities, and a Detailed Assessment of Relevant Issues," Sustainability, MDPI, vol. 15(8), pages 1-32, April.
    14. Khaligh, Vahid & Ghezelbash, Azam & Mazidi, Mohammadreza & Liu, Jay & Ryu, Jun-Hyung, 2023. "P-robust energy management of a multi-energy microgrid enabled with energy conversions under various uncertainties," Energy, Elsevier, vol. 271(C).
    15. Huang, Gang & Wang, Jianhui & Wang, Cheng & Guo, Chuangxin, 2021. "Cascading imbalance in coupled gas-electric energy systems," Energy, Elsevier, vol. 231(C).
    16. David Markantonis & G.-Fivos Sargentis & Panayiotis Dimitriadis & Theano Iliopoulou & Aimilia Siganou & Konstantina Moraiti & Maria Nikolinakou & Ilias Taygetos Meletopoulos & Nikos Mamassis & Demetri, 2023. "Stochastic Evaluation of the Investment Risk by the Scale of Water Infrastructures—Case Study: The Municipality of West Mani (Greece)," World, MDPI, vol. 4(1), pages 1-20, January.

    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:186:y:2019:i:c:s0360544219315610. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.