IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v240y2019icp56-72.html
   My bibliography  Save this article

Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience

Author

Listed:
  • Hussain, Akhtar
  • Bui, Van-Hai
  • Kim, Hak-Man

Abstract

Microgrids are considered as a potential solution to deal with major power disruption events due to their ability of islanding and potential to sustain the penetration of renewables. In order to elaborate the role of microgrids in enhancing the resilience of power systems, a three-step analysis is carried out in this paper. In the first step, the general backgrounds of resilience in power systems are presented, which comprise of disaster modeling, resilience analysis methods, and resilience enhancement efforts by different regions. In the second step, the use of microgrids as a resilience resource is analyzed, where formation of microgrids, networked microgrids, and dynamic microgrids along with resiliency of multi-energy networks are explored. In the third step, the strategies utilized by microgrids for enhancing their resilience during major outage events are analyzed. These strategies include proactive scheduling, outage management, feasible islanding, and advanced operation strategies for reducing the impact of major disruptions. The classification of these operation strategies is based on the event occurrence and clearance times. In addition, the resilience strategies used by different types of microgrids, types of energy management systems, communication resilience, and resilience of individual components in microgrids are also analyzed. Finally, research gaps in the existing literature and future directions for improving the available resilience-oriented operation methods for enhancing the resilience of microgrids are presented.

Suggested Citation

  • Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
  • Handle: RePEc:eee:appene:v:240:y:2019:i:c:p:56-72
    DOI: 10.1016/j.apenergy.2019.02.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919303526
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.02.055?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. Molyneaux, Lynette & Brown, Colin & Wagner, Liam & Foster, John, 2016. "Measuring resilience in energy systems: Insights from a range of disciplines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1068-1079.
    2. Shang, Duo (Rick), 2017. "Pricing of emergency dynamic microgrid power service for distribution resilience enhancement," Energy Policy, Elsevier, vol. 111(C), pages 321-335.
    3. Mengelkamp, Esther & Gärttner, Johannes & Rock, Kerstin & Kessler, Scott & Orsini, Lawrence & Weinhardt, Christof, 2018. "Designing microgrid energy markets," Applied Energy, Elsevier, vol. 210(C), pages 870-880.
    4. Ren, Lingyu & Qin, Yanyuan & Li, Yan & Zhang, Peng & Wang, Bing & Luh, Peter B. & Han, Song & Orekan, Taofeek & Gong, Tao, 2018. "Enabling resilient distributed power sharing in networked microgrids through software defined networking," Applied Energy, Elsevier, vol. 210(C), pages 1251-1265.
    5. Prehoda, Emily W. & Schelly, Chelsea & Pearce, Joshua M., 2017. "U.S. strategic solar photovoltaic-powered microgrid deployment for enhanced national security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 167-175.
    6. Sung-Ho Park & Akhtar Hussain & Hak-Man Kim, 2019. "Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables," Energies, MDPI, vol. 12(3), pages 1-22, January.
    7. Yoshiki Yamagata & Daisuke Murakami & Kazuhiro Minami & Nana Arizumi & Sho Kuroda & Tomoya Tanjo & Hiroshi Maruyama, 2016. "Electricity Self-Sufficient Community Clustering for Energy Resilience," Energies, MDPI, vol. 9(7), pages 1-13, July.
    8. Kaveh Dehghanpour & Christopher Colson & Hashem Nehrir, 2017. "A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids," Energies, MDPI, vol. 10(5), pages 1-25, May.
    9. Alexis Kwasinski, 2016. "Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level," Energies, MDPI, vol. 9(2), pages 1-27, February.
    10. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2017. "Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids," Energies, MDPI, vol. 10(3), pages 1-19, February.
    11. Mousavizadeh, Saeed & Haghifam, Mahmoud-Reza & Shariatkhah, Mohammad-Hossein, 2018. "A linear two-stage method for resiliency analysis in distribution systems considering renewable energy and demand response resources," Applied Energy, Elsevier, vol. 211(C), pages 443-460.
    12. Quashie, Mike & Marnay, Chris & Bouffard, François & Joós, Géza, 2018. "Optimal planning of microgrid power and operating reserve capacity," Applied Energy, Elsevier, vol. 210(C), pages 1229-1236.
    13. Weber, C. & Shah, N., 2011. "Optimisation based design of a district energy system for an eco-town in the United Kingdom," Energy, Elsevier, vol. 36(2), pages 1292-1308.
    14. Kleerekoper, Laura & Taleghani, Mohammad & van den Dobbelsteen, Andy & Hordijk, Truus, 2017. "Urban measures for hot weather conditions in a temperate climate condition: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 515-533.
    15. Hamilton, Michelle C. & Lambert, James H. & Connelly, Elizabeth B. & Barker, Kash, 2016. "Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 11-21.
    16. Rocchetta, Roberto & Zio, Enrico & Patelli, Edoardo, 2018. "A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency," Applied Energy, Elsevier, vol. 210(C), pages 339-350.
    17. Di Santo, Katia Gregio & Kanashiro, Eduardo & Di Santo, Silvio Giuseppe & Saidel, Marco Antonio, 2015. "A review on smart grids and experiences in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1072-1082.
    18. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
    19. Sharifi, Ayyoob & Yamagata, Yoshiki, 2016. "Principles and criteria for assessing urban energy resilience: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1654-1677.
    20. Barbour, Edward & Parra, David & Awwad, Zeyad & González, Marta C., 2018. "Community energy storage: A smart choice for the smart grid?," Applied Energy, Elsevier, vol. 212(C), pages 489-497.
    21. Campana, Pietro Elia & Quan, Steven Jige & Robbio, Federico Ignacio & Lundblad, Anders & Zhang, Yang & Ma, Tao & Karlsson, Björn & Yan, Jinyue, 2017. "Optimization of a residential district with special consideration on energy and water reliability," Applied Energy, Elsevier, vol. 194(C), pages 751-764.
    22. Marzal, Silvia & Salas, Robert & González-Medina, Raúl & Garcerá, Gabriel & Figueres, Emilio, 2018. "Current challenges and future trends in the field of communication architectures for microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3610-3622.
    23. Changchun Cai & Haolin Liu & Weili Dai & Zhixiang Deng & Jianyong Zhang & Lihua Deng, 2017. "Dynamic Equivalent Modeling of a Grid-Tied Microgrid Based on Characteristic Model and Measurement Data," Energies, MDPI, vol. 10(12), pages 1-16, November.
    24. Ding, Tao & Lin, Yanling & Bie, Zhaohong & Chen, Chen, 2017. "A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration," Applied Energy, Elsevier, vol. 199(C), pages 205-216.
    25. Fang, Yiping & Sansavini, Giovanni, 2017. "Optimizing power system investments and resilience against attacks," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 161-173.
    26. Changchun Cai & Bing Jiang & Lihua Deng, 2015. "General Dynamic Equivalent Modeling of Microgrid Based on Physical Background," Energies, MDPI, vol. 8(11), pages 1-20, November.
    27. Charoenkit, Sasima & Kumar, S., 2014. "Environmental sustainability assessment tools for low carbon and climate resilient low income housing settlements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 509-525.
    28. Ghanem, Dana Abi & Mander, Sarah & Gough, Clair, 2016. "“I think we need to get a better generator”: Household resilience to disruption to power supply during storm events," Energy Policy, Elsevier, vol. 92(C), pages 171-180.
    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. Younesi, Abdollah & Shayeghi, Hossein & Wang, Zongjie & Siano, Pierluigi & Mehrizi-Sani, Ali & Safari, Amin, 2022. "Trends in modern power systems resilience: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2021. "A review on resilience studies in active distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Wang, Yi & Rousis, Anastasios Oulis & Strbac, Goran, 2020. "On microgrids and resilience: A comprehensive review on modeling and operational strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Shang, Ce & Lin, Teng & Li, Canbing & Wang, Keyou & Ai, Qian, 2021. "Joining resilience and reliability evaluation against both weather and ageing causes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. Jasiūnas, Justinas & Lund, Peter D. & Mikkola, Jani, 2021. "Energy system resilience – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    6. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    7. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    8. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    9. Cornélusse, Bertrand & Savelli, Iacopo & Paoletti, Simone & Giannitrapani, Antonio & Vicino, Antonio, 2019. "A community microgrid architecture with an internal local market," Applied Energy, Elsevier, vol. 242(C), pages 547-560.
    10. Bertrand Corn'elusse & Iacopo Savelli & Simone Paoletti & Antonio Giannitrapani & Antonio Vicino, 2018. "A Community Microgrid Architecture with an Internal Local Market," Papers 1810.09803, arXiv.org, revised Feb 2019.
    11. Lei, Shunbo & Pozo, David & Wang, Ming-Hao & Li, Qifeng & Li, Yupeng & Peng, Chaoyi, 2022. "Power economic dispatch against extreme weather conditions: The price of resilience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    12. Zhang, Qianzhi & Wang, Zhaoyu & Ma, Shanshan & Arif, Anmar, 2021. "Stochastic pre-event preparation for enhancing resilience of distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    13. Márcio das Chagas Moura & Helder Henrique Lima Diniz & Enrique López Droguett & Beatriz Sales da Cunha & Isis Didier Lins & Vicente Ribeiro Simoni, 2017. "Embedding resilience in the design of the electricity supply for industrial clients," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-33, November.
    14. Yang, Chao & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Chen, Zhe & Wen, Jinyu & He, Haibo, 2019. "Dynamic event-triggered robust secondary frequency control for islanded AC microgrid," Applied Energy, Elsevier, vol. 242(C), pages 821-836.
    15. Su, Rui & Chen, Bin & Wang, Saige & Duan, Cuncun, 2024. "Energy technical resilience assessment based on complex network analysis – A case study of China," Applied Energy, Elsevier, vol. 364(C).
    16. Nawaz, Arshad & Zhou, Min & Wu, Jing & Long, Chengnian, 2022. "A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network," Applied Energy, Elsevier, vol. 323(C).
    17. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    18. Villanueva-Rosario, Junior Alexis & Santos-García, Félix & Aybar-Mejía, Miguel Euclides & Mendoza-Araya, Patricio & Molina-García, Angel, 2022. "Coordinated ancillary services, market participation and communication of multi-microgrids: A review," Applied Energy, Elsevier, vol. 308(C).
    19. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    20. Wang, Yi & Qiu, Dawei & Sun, Mingyang & Strbac, Goran & Gao, Zhiwei, 2023. "Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach," Applied Energy, Elsevier, vol. 335(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:appene:v:240:y:2019:i:c:p:56-72. 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/405891/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.