IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i15p4048-d252042.html
   My bibliography  Save this article

Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems

Author

Listed:
  • Shixiong Qi

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xiuli Wang

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xue Li

    (China National Offshore Oil Corporation Research Institute, Beijing 100028, China)

  • Tao Qian

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Qiwen Zhang

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

The requirement for energy sustainability drives the development of integrated energy distribution systems (IEDSs). In this paper, considering the coordination of district multi-energy systems (DMESs), a hierarchical management strategy is proposed to enhance IEDS resilience. The proposed strategy is divided into three modes: the normal operation mode, the preventive operation mode and the resilient operation mode. In the normal operation mode, the objective of DEMSs is to minimize the operation costs. In the preventive operation mode, the objective of DEMSs is to maximize the stored energy for mitigating outage. The resilient operation mode consists of two stages. DMESs schedule their available resources and broadcast excess generation capacities or unserved loads to neighboring DMESs through the cyber communication network in the first stage. In the second stage, DMESs interchange electricity and natural gas with each other through the physical common bus for global optimization. A consensus algorithm was applied to determine the allocated proportions of exported or imported electricity and natural gas for each DMES in a distributed way. An IEDS including five DMESs was used as a test system. The results of the case studies demonstrate the effectiveness of the proposed hierarchical management strategy and algorithm.

Suggested Citation

  • Shixiong Qi & Xiuli Wang & Xue Li & Tao Qian & Qiwen Zhang, 2019. "Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4048-:d:252042
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/15/4048/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/15/4048/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emilio Ghiani & Alessandro Serpi & Virginia Pilloni & Giuliana Sias & Marco Simone & Gianluca Marcialis & Giuliano Armano & Paolo Attilio Pegoraro, 2018. "A Multidisciplinary Approach for the Development of Smart Distribution Networks," Energies, MDPI, vol. 11(10), pages 1-29, September.
    2. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    3. Angioletta Voghera & Benedetta Giudice, 2019. "Evaluating and Planning Green Infrastructure: A Strategic Perspective for Sustainability and Resilience," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    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. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Yang, Yongwen, 2022. "Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability," Energy, Elsevier, vol. 261(PB).
    2. Lijun Tang & Xiaolong Gou & Junyu Liang & Yang Yang & Xingyu Yuan & Jiaquan Yang & Yuting Yan & Dada Wang & Yongli Wang & Xin Chen & Bo Yuan & Siyi Tao, 2022. "A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    3. Qiuyi Hong & Fanlin Meng & Jian Liu, 2023. "Customised Multi-Energy Pricing: Model and Solutions," Energies, MDPI, vol. 16(4), pages 1-31, February.
    4. Masoud Agabalaye-Rahvar & Amin Mansour-Saatloo & Mohammad Amin Mirzaei & Behnam Mohammadi-Ivatloo & Kazem Zare & Amjad Anvari-Moghaddam, 2020. "Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets," Energies, MDPI, vol. 13(22), pages 1-21, November.
    5. Khawaja Tahir Mehmood & Muhammad Majid Hussain, 2025. "Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework," Energies, MDPI, vol. 18(12), pages 1-24, June.

    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. Gonzalez-Carreon, Karla M. & García Kerdan, Iván, 2025. "Optimising large-scale solar-based distributed energy generation systems in high-density urban areas: An integrated approach using geospatial and techno-economic modelling," Energy, Elsevier, vol. 327(C).
    2. David Drysdale & Brian Vad Mathiesen & Henrik Lund, 2019. "From Carbon Calculators to Energy System Analysis in Cities," Energies, MDPI, vol. 12(12), pages 1-21, June.
    3. Solène Goy & François Maréchal & Donal Finn, 2020. "Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges," Energies, MDPI, vol. 13(16), pages 1-23, August.
    4. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2018. "Modelling urban energy requirements using open source data and models," Applied Energy, Elsevier, vol. 231(C), pages 1100-1108.
    6. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.
    7. Natália Gava Gastaldo & Graciele Rediske & Paula Donaduzzi Rigo & Carmen Brum Rosa & Leandro Michels & Julio Cezar Mairesse Siluk, 2019. "What is the Profile of the Investor in Household Solar Photovoltaic Energy Systems?," Energies, MDPI, vol. 12(23), pages 1-18, November.
    8. Silverman, Rochelle E. & Flores, Robert J. & Brouwer, Jack, 2020. "Energy and economic assessment of distributed renewable gas and electricity generation in a small disadvantaged urban community," Applied Energy, Elsevier, vol. 280(C).
    9. Andreea Loredana Bîrgovan & Elena Simina Lakatos & Andrea Szilagyi & Lucian Ionel Cioca & Roxana Lavinia Pacurariu & George Ciobanu & Elena Cristina Rada, 2022. "How Should We Measure? A Review of Circular Cities Indicators," IJERPH, MDPI, vol. 19(9), pages 1-16, April.
    10. Silva, Mafalda C. & Horta, Isabel M. & Leal, Vítor & Oliveira, Vítor, 2017. "A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand," Applied Energy, Elsevier, vol. 202(C), pages 386-398.
    11. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Xu, Xiandong & Yu, Xiaodan, 2016. "Optimal day-ahead scheduling of integrated urban energy systems," Applied Energy, Elsevier, vol. 180(C), pages 1-13.
    12. Raventós, Oriol & Dengiz, Thomas & Medjroubi, Wided & Unaichi, Chinonso & Bruckmeier, Andreas & Finck, Rafael, 2022. "Comparison of different methods of spatial disaggregation of electricity generation and consumption time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    13. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    14. Huang, Ying & Liao, Cuiping & Zhang, Jingjing & Guo, Hongxu & Zhou, Nan & Zhao, Daiqing, 2019. "Exploring potential pathways towards urban greenhouse gas peaks: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    15. Nageler, P. & Schweiger, G. & Schranzhofer, H. & Mach, T. & Heimrath, R. & Hochenauer, C., 2018. "Novel method to simulate large-scale thermal city models," Energy, Elsevier, vol. 157(C), pages 633-646.
    16. Fahad Haneef & Giovanni Pernigotto & Andrea Gasparella & Jérôme Henri Kämpf, 2021. "Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    17. Yuxiang Peng & Feng Zhao & Ke Zhou & Xiaoyong Yu & Qingren Jin & Ruien Li & Zhikang Shuai, 2025. "Review of Digital Twin Technology in Low-Voltage Distribution Area and the Implementation Path Based on the ‘6C’ Development Goals," Energies, MDPI, vol. 18(17), pages 1-21, August.
    18. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    19. Marquant, Julien F. & Evins, Ralph & Bollinger, L. Andrew & Carmeliet, Jan, 2017. "A holarchic approach for multi-scale distributed energy system optimisation," Applied Energy, Elsevier, vol. 208(C), pages 935-953.
    20. Pereverza, Kateryna & Pasichnyi, Oleksii & Kordas, Olga, 2019. "Modular participatory backcasting: A unifying framework for strategic planning in the heating sector," Energy Policy, Elsevier, vol. 124(C), pages 123-134.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jsusta:v:11:y:2019:i:15:p:4048-:d:252042. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.