Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends
Jorge De La Cruz (),
Eduardo Gómez-Luna,
Majid Ali,
Juan C. Vasquez and
Josep M. Guerrero ()
Additional contact information
Jorge De La Cruz: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Eduardo Gómez-Luna: GRALTA Research Group, Electrical and Electronic Department, Universidad del Valle, Cali 760042, Colombia
Majid Ali: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Juan C. Vasquez: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Josep M. Guerrero: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Energies, 2023, vol. 16, issue 5, 1-37
Abstract:
Thanks to smart grids, more intelligent devices may now be integrated into the electric grid, which increases the robustness and resilience of the system. The integration of distributed energy resources is expected to require extensive use of communication systems as well as a variety of interconnected technologies for monitoring, protection, and control. The fault location and diagnosis are essential for the security and well-coordinated operation of these systems since there is also greater risk and different paths for a fault or contingency in the system. Considering smart distribution systems, microgrids, and smart automation substations, a full investigation of fault location in SGs over the distribution domain is still not enough, and this study proposes to analyze the fault location issues and common types of power failures in most of their physical components and communication infrastructure. In addition, we explore several fault location techniques in the smart grid’s distribution sector as well as fault location methods recommended to improve resilience, which will aid readers in choosing methods for their own research. Finally, conclusions are given after discussing the trends in fault location and detection techniques.
Keywords: fault location; smart grids; fault classification; low-voltage and DC smart grids; resiliency of smart grids; microgrids; artificial intelligence; local measurement-based techniques (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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