Cited by 14Power Systems Fault DetectionElectrical Fault Detection and ProtectionPower System Optimization and Stability

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A Comparative Review of Fault Location/Identification Methods in Distribution Networks

Haleem, Abdul M.I., Sharma, Madhu, Sajan, K.S., Babu, K.N. Dinesh·2018·2018 1st International Conference on Advanced Research in Engineering Sciences (ARES)

Abstract

Power failures are more frequent in Distribution Networks (DNs) compared to other sections of power system (generation and transmission). These failures are happened due to the occurrence of fault in the connected equipment or network. Consequently, the connected loads at consumer ends are affected until the service is restored. The time taken to restore the power or service back to the consumer may vary with the utilities based on the network complexity, design, availability of Fault Indicators (FI), etc. To improve the quality of restoring the service to the consumers, a faster service restoration technique needs to be adopted. The main challenge for the restoration process is the fault identification. Once the fault is identified, the service can be restored to the consumer within short time after proper isolation of the faulty section from the healthy portion of the network. In this paper, a comparative review of fault location/identification methods in DNs is carried out along with future research scopes in this area.

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Crossref · 10.1109/aresx.2018.8723300

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Research works printed but not linked: 40

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Metadata

Authors
Haleem, A. M. I., Sharma, M., Sajan, K. S., & Babu, K. N. D.
Affiliations
  • University of Petroleum and Energy Studies (IN)
  • GE Energy Connections, Hyderabad, India
  • Megger, Chennai, India
Venue
2018 1st International Conference on Advanced Research in Engineering Sciences (ARES)
Publisher
IEEE
Published
2018-06
Pages
1-6
OpenAlex
W2947857642
Cited by
14
References
1
Citations by year
2025: 3 · 2024: 6 · 2023: 2 · 2022: 2 · 2021: 1
FWCI
0.38
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Advanced Research in Engineering Sciences (ARES) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Power Systems Fault Detection
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical Fault Detection and Protection
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
Keywords
fault location, fault identification, distribution networks, service restoration, fault indicators, power outages, fault isolation, power quality

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