Efficient fault identification scheme of compensated transmission grid based on correlated reactive power measurements and discrete wavelet transform Article Swipe
Mohamed I. Zaki
,
Ragab A. El‐Sehiemy
,
Ghada M. Amer
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2478/jee-2021-0031
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2478/jee-2021-0031
The early fault identification in high-voltage power systems is a substantial aspect not only to minimize equipment failure but also to increase both the reliability and stability in power system. Subsequently, the aim of this paper is to propose the adaptive fault-identification scheme based on multi-resolution analysis technique. The proposed method is dependent on monitoring both voltages and currents from single-ended measuring system. The correlation among the reactive power computation and discrete wavelet transform is used to generate the significant criteria which are used to discriminate between short-circuit currents and energizing heavy loads behaviour. Different transmission network configurations are investigated to assess the dependability, security, and reliability of fault identification relay as well. The correlative protection scheme attains the accurate results under healthy disturbances, and therefore it is superior to other conventional approaches. In addition, a selective study is applied to different mother wavelets to find the best one. The response of the proposed scheme to the compensated transmission line is also verified at a wide range of compensation levels with faults before and after compensated bank. Simulation tests have been handled via ATP-EMTP to investigate the proper practicability and adaptability of the fault-identication relay.
Related Topics
Concepts
Fault (geology)
Electric power system
Dependability
Emtp
Transmission line
Computer science
Wavelet
Relay
Reliability (semiconductor)
Identification scheme
Wavelet transform
Identification (biology)
Control theory (sociology)
Transmission (telecommunications)
Electronic engineering
Compensation (psychology)
Electric power transmission
AC power
Transmission system
Power (physics)
Voltage
Engineering
Reliability engineering
Process (computing)
Electrical engineering
Artificial intelligence
Psychology
Biology
Operating system
Physics
Control (management)
Geology
Quantum mechanics
Botany
Psychoanalysis
Seismology
Telecommunications
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/jee-2021-0031
- https://www.sciendo.com/pdf/10.2478/jee-2021-0031
- OA Status
- diamond
- Cited By
- 5
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3199404830
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3199404830Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2478/jee-2021-0031Digital Object Identifier
- Title
-
Efficient fault identification scheme of compensated transmission grid based on correlated reactive power measurements and discrete wavelet transformWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-01Full publication date if available
- Authors
-
Mohamed I. Zaki, Ragab A. El‐Sehiemy, Ghada M. AmerList of authors in order
- Landing page
-
https://doi.org/10.2478/jee-2021-0031Publisher landing page
- PDF URL
-
https://www.sciendo.com/pdf/10.2478/jee-2021-0031Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.sciendo.com/pdf/10.2478/jee-2021-0031Direct OA link when available
- Concepts
-
Fault (geology), Electric power system, Dependability, Emtp, Transmission line, Computer science, Wavelet, Relay, Reliability (semiconductor), Identification scheme, Wavelet transform, Identification (biology), Control theory (sociology), Transmission (telecommunications), Electronic engineering, Compensation (psychology), Electric power transmission, AC power, Transmission system, Power (physics), Voltage, Engineering, Reliability engineering, Process (computing), Electrical engineering, Artificial intelligence, Psychology, Biology, Operating system, Physics, Control (management), Geology, Quantum mechanics, Botany, Psychoanalysis, Seismology, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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