Detection and location of faults in large transmission networks using minimum number of phasor measurement units

Barman, Subhradeep; Roy, Biman Kumar Saha

doi:10.1049/iet-gtd.2017.1067

Cited by 29 publications

(13 citation statements)

References 30 publications

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“…Phasor measurement unit or PMU-based application is an ideal example of similar time-synchronized technology which helps in fault analysis by detecting electrical signals simultaneously at both ends [91][92][93][94][95][96]. A PMU-based faultlocation scheme is proposed by Jiang, Q. et al (2012) in [91] which studies voltage signals of large transmission networks.…”

Section: Time-frequency Domain Approaches For Fault Localizationmentioning

confidence: 99%

“…Maximum localization error is obtained as 0.8%, with classifier accuracy of 100% is achieved with variable fault resistance. Another PMU-based fault detection and location methodology is proposed by Barman, S. et al (2018) in [92] for large transmission system. One objective of this work is to accomplish the work using minimum number of PMUs.…”

Section: Time-frequency Domain Approaches For Fault Localizationmentioning

confidence: 99%

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Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

Mukherjee¹,

Kundu

Das

2021

J. Inst. Eng. India Ser. B

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Transmission lines are one of the most widely distributed engineering systems meant for transmitting bulk amount of power from one corner of a country to the farthest most in the other directions. The expansion of the lines over different terrains and geographic locations makes these most vulnerable to different kinds of atmospheric calamities which more often develops faults in line. It is imperative to remove the faulty line at the earliest to restrict undue outflow of bulk power through the faulted point as well as restore system stability earliest to resume normal power flow operation. Here lays the importance of having a robust fault identification, classification and localization algorithm which would be successfully able to drive as well as actuate the digital relaying system. Researchers have worked out several methodologies in developing improved power system protection algorithms which would be able to serve to eliminate faults immediately on occurrence of the same. A brief yet exhaustive review has been presented in this article including the several methodologies adopted by numerous researchers for developing effective fault diagnosis schemes, mentioning about the highlights as well as the shortcoming of each of the methods. This compact and effective survey of literature works would help researchers to take up appropriate techniques for different purposes of transmission line fault analysis.

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Section: Time-frequency Domain Approaches For Fault Localizationmentioning

confidence: 99%

Section: Time-frequency Domain Approaches For Fault Localizationmentioning

confidence: 99%

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

Mukherjee¹,

Kundu

Das

2021

J. Inst. Eng. India Ser. B

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“…The use of PMUs in fault location presents several advantages but requires a great number of PMUs. In this sense, in [16], the number of PMUs is reduced and the fault estimation is carried out computing a transfer impedance between the fault point and the PMUs. Departing from the use of PMUs, it should be said that another viable option aimed at improving fault location results is by employing mathematical morphology where the fault location is estimated using the voltage waveforms during the fault, as reported in [17].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of dynamic phasor estimation‐based fault location algorithms for AC transmission lines

Guillén

Salas

Sanchez-Gomez

et al. 2020

IET Generation, Transmission & Distribution

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“…The method is less sensitive to FIA, fault types, FR, variation in soil resistivity, measurement and line parameters error, etc. Barman and Roy (2018) have employed phasor measurements obtained from optimally placed PMUs for fault detection and location. Location of the fault has been identified by linearizing nonlinear set of voltage and current equations using least square estimation problem.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed method is developed on the assumption that no errors are present in the transmission line parameters estimation. Most of these methods (Jiang et al 2012;Mousavi-Seyedi et al 2015;Vallapu et al 2017;Kang et al 2017;Das et al 2017;Saber 2018; Barman and Roy 2018;Meenakshi Devi et al 2018;Rajaraman et al 2018) discussed above are confined to simulation based validations only.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Synchronized Harmonic Phasor Measurements-Based Fault Location Method for Transmission Lines

Mallikarjuna

Gopakumar

Roy

et al. 2019

J Control Autom Electr Syst

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In this paper, a real-time synchronized harmonic phasor measurements-based fault location (RT-SHPM-FL) method for transmission lines is proposed. At transmission line protection center (TPC), the synchronized harmonic phasor measurements are obtained from all phasor measurement units (PMU) deployed in a power system. At each bus, the PMU estimates time-tagged 100 and 150 Hz phasors of 3-ɸ current signals in addition to fundamental phasor (50 Hz). The proposed RT-SHPM-FL method detects and locates a fault using the magnitude of 100 and 150 Hz phasors of 3-ɸ currents and equivalent harmonic phasors (EHPs), respectively. These EHPs are calculated from the magnitude of time-tagged 50, 100 and 150 Hz three-phase current phasors. For estimating the fault distance, the RT-SHPM-FL method has employed support vector regression (SVR), because of its mimicking nature, generalization and robustness. The functioning of the proposed fault location method has been validated in real-time on a scaled-down laboratory model of 400 kV extra high voltage (EHV) transmission line of 400 km long. The experimental results and discussions show that the proposed method locates transmission line faults accurately. Further, a comparative study of the proposed fault location method using SVR and adaptive neuro-fuzzy inference system has revealed that the former one is more reliable in fault location than the latter one since the error is within ± 1%.

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Detection and location of faults in large transmission networks using minimum number of phasor measurement units

Cited by 29 publications

References 30 publications

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

Enhancement of dynamic phasor estimation‐based fault location algorithms for AC transmission lines

A Real-Time Synchronized Harmonic Phasor Measurements-Based Fault Location Method for Transmission Lines

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