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Restoration of smart grids: Current status, challenges, and opportunities

Author

Listed:
  • Fan, Dongming
  • Ren, Yi
  • Feng, Qiang
  • Liu, Yiliu
  • Wang, Zili
  • Lin, Jing

Abstract

Smart grids, which constitute intelligent infrastructure in smart cities, provide reliable, energy-efficient, and high-quality power to improve the standard of living while maintaining a sustainable environment. For self-healing, restoration is considered an effective and intelligent way to ensure that parts of the system remain active and even reconfigure automatically with external failures or attacks. Restoration has recently received considerable attention from researchers and engineers. Regarding the technical route of restoration, this survey reveals some common properties and identifies the research gaps in modeling frameworks, reconfiguration technologies, and optimization approaches. It presents a summary of the challenges and opportunities in restoration of smart grids. It is expected to facilitate the researchers in the advancement of effective and intelligent restoration of smart grids.

Suggested Citation

  • Fan, Dongming & Ren, Yi & Feng, Qiang & Liu, Yiliu & Wang, Zili & Lin, Jing, 2021. "Restoration of smart grids: Current status, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:rensus:v:143:y:2021:i:c:s1364032121002021
    DOI: 10.1016/j.rser.2021.110909
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    as
    1. Ren, Yi & Fan, Dongming & Feng, Qiang & Wang, Zili & Sun, Bo & Yang, Dezhen, 2019. "Agent-based restoration approach for reliability with load balancing on smart grids," Applied Energy, Elsevier, vol. 249(C), pages 46-57.
    2. Feng, Qiang & Zhao, Xiujie & Fan, Dongming & Cai, Baoping & Liu, Yiqi & Ren, Yi, 2019. "Resilience design method based on meta-structure: A case study of offshore wind farm," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 232-244.
    3. Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G., 2010. "Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing," Applied Energy, Elsevier, vol. 87(11), pages 3591-3605, November.
    4. Bakar, Nur Najihah Abu & Hassan, Mohammad Yusri & Sulaima, Mohamad Fani & Mohd Nasir, Mohamad Na’im & Khamis, Aziah, 2017. "Microgrid and load shedding scheme during islanded mode: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 161-169.
    5. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Towards a smart grid power system in Brazil: Challenges and opportunities," Energy Policy, Elsevier, vol. 136(C).
    6. Badran, Ola & Mekhilef, Saad & Mokhlis, Hazlie & Dahalan, Wardiah, 2017. "Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 854-867.
    7. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    8. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).
    9. Caoyuan Ma & Chunxiao Li & Xuezi Zhang & Guoxin Li & Yonggang Han, 2017. "Reconfiguration of Distribution Networks with Distributed Generation Using a Dual Hybrid Particle Swarm Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-10, August.
    10. Cai, Baoping & Xie, Min & Liu, Yonghong & Liu, Yiliu & Feng, Qiang, 2018. "Availability-based engineering resilience metric and its corresponding evaluation methodology," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 216-224.
    11. Paweł Kelm & Rozmysław Mieński & Irena Wasiak & Katarzyna Wojciechowska, 2020. "Examination of EV Abilities to Provide Vehicle-to-Home Service in Low Voltage Installation," Energies, MDPI, vol. 13(7), pages 1-14, April.
    12. Eunice Espe & Vidyasagar Potdar & Elizabeth Chang, 2018. "Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions," Energies, MDPI, vol. 11(10), pages 1-24, September.
    13. Das, Laya & Munikoti, Sai & Natarajan, Balasubramaniam & Srinivasan, Babji, 2020. "Measuring smart grid resilience: Methods, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    14. Li, Canbing & Cao, Chi & Cao, Yijia & Kuang, Yonghong & Zeng, Long & Fang, Baling, 2014. "A review of islanding detection methods for microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 211-220.
    15. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Coordination of vehicle-to-home and renewable capacity resources for energy management in resilience and self-healing building," Renewable Energy, Elsevier, vol. 146(C), pages 568-579.
    16. Peng, Hao & Kan, Zhe & Zhao, Dandan & Han, Jianmin & Lu, Jianfeng & Hu, Zhaolong, 2018. "Reliability analysis in interdependent smart grid systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 50-59.
    17. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    18. Ku Ahmad, Ku Nurul Edhura & Selvaraj, Jeyraj & Rahim, Nasrudin Abd, 2013. "A review of the islanding detection methods in grid-connected PV inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 756-766.
    19. Zakaria, A. & Ismail, Firas B. & Lipu, M.S. Hossain & Hannan, M.A., 2020. "Uncertainty models for stochastic optimization in renewable energy applications," Renewable Energy, Elsevier, vol. 145(C), pages 1543-1571.
    20. Lilia Tightiz & Hyosik Yang, 2020. "A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication," Energies, MDPI, vol. 13(11), pages 1-24, June.
    21. Aghaei, Jamshid & Alizadeh, Mohammad-Iman & Siano, Pierluigi & Heidari, Alireza, 2016. "Contribution of emergency demand response programs in power system reliability," Energy, Elsevier, vol. 103(C), pages 688-696.
    22. Hosseini, Sayed Saeed & Badri, Ali & Parvania, Masood, 2014. "A survey on mobile energy storage systems (MESS): Applications, challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 161-170.
    23. Zhou, Kaile & Yang, Shanlin & Chen, Zhiqiang & Ding, Shuai, 2014. "Optimal load distribution model of microgrid in the smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 304-310.
    24. Chen, Chien-fei & Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    25. Seyed Arash Alavi & Valentin Ilea & Alireza Saffarian & Cristian Bovo & Alberto Berizzi & Seyed Ghodratollah Seifossadat, 2019. "Feasible Islanding Operation of Electric Networks with Large Penetration of Renewable Energy Sources considering Security Constraints," Energies, MDPI, vol. 12(3), pages 1-25, February.
    26. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    27. Hee-Jun Cha & Dong-Jun Won & Sang-Hyuk Kim & Il-Yop Chung & Byung-Moon Han, 2015. "Multi-Agent System-Based Microgrid Operation Strategy for Demand Response," Energies, MDPI, vol. 8(12), pages 1-15, December.
    28. Velasco, D. & Trujillo, C.L. & Garcerá, G. & Figueres, E., 2010. "Review of anti-islanding techniques in distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(6), pages 1608-1614, August.
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    7. Nasir Ayub & Usman Ali & Kainat Mustafa & Syed Muhammad Mohsin & Sheraz Aslam, 2022. "Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid," Forecasting, MDPI, vol. 4(4), pages 1-13, November.
    8. Gouda, El Mehdi & Benaouicha, Mustapha & Neu, Thibault & Fan, Yilin & Luo, Lingai, 2022. "Flow and heat transfer characteristics of air compression in a liquid piston for compressed air energy storage," Energy, Elsevier, vol. 254(PB).
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