Transmission line fault detection and location using Wide Area Measurements

Das, Sayari; Singh, S. P.; Panigrahi, Bijaya Ketan

doi:10.1016/j.epsr.2017.05.025

Cited by 52 publications

(28 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10). Similarly, in case 2, faulty bus (14) and line (14-4) are detected and this is in consistent with above discussion (Fig. 9).…”

Section: Detection Of Multiple Fault Types On Same Bus and Its Durasupporting

confidence: 91%

“…The real-time simulation cases; case 1 and case 2 as discussed above is performed and the performance of proposed scheme is given in Table 5. The detection of faulty buses (29,14) and lines for case 1 follows the same trend (Fig. 10).…”

Section: Detection Of Multiple Fault Types On Same Bus and Its Durasupporting

confidence: 59%

“…With a delay of 5 msecs, the Euclidean norm of MWSV was computed and compared with the set value, based on which the faults are classified. Das et al [14] suggested that the change in injected current at the faulted bus is non-zero while at non-faulted bus it is zero. A voltage magnitude (VM) based approach has been discussed in [15], to identify the faulty bus.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

Na¹,

Kishor²,

Uhlen

et al. 2019

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

In a complex interconnected network, due to dynamic interaction between the AC networks, at the time of multiple occurrences of faults, the successful relay operation is threatened. For security and reliability of power system network, fast and accurate protection scheme is of great importance. This paper presents a protection scheme for multiple faults detection at bus/line and its type in wide area network. If a fault occurs on a line, followed by another fault at the same/different line, before the clearance of former fault, the proposed scheme is capable to detect such multiple fault events. The protection scheme applies processed signal information for its time-frequency representation using Smoothed Pseudo Wigner-Ville distribution, followed by Hilbert transform and calculation of indices to interpretate the fault events. It is shown that faulted bus, faulted line, time instant, and types of fault can be easily identified without involving any high computationally burden. The proposed scheme is validated on the signals simulated on two area Kundur's model and standard IEEE 39 bus system and verified with real-time signals on RTDS for different fault conditions; fault resistance and fault location on the line. The scheme can be successfully applied on wide area signals available from PMUs for wide area network protection.

show abstract

“…10). Similarly, in case 2, faulty bus (14) and line (14-4) are detected and this is in consistent with above discussion (Fig. 9).…”

Section: Detection Of Multiple Fault Types On Same Bus and Its Durasupporting

confidence: 91%

Section: Detection Of Multiple Fault Types On Same Bus and Its Durasupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

Na¹,

Kishor²,

Uhlen

et al. 2019

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…The fault location methodology has employed two unsynchronized terminal current and local voltage phasors for accurate fault location. Further, Das et al (2017) have designed a fault location method for transmission lines using only voltage phasors and admittance matrix. The algorithm is less sensitive to fault inception angles (FIA), fault types and fault resistances (FR).…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm is less sensitive to fault inception angles (FIA), fault types and fault resistances (FR). However, the accuracy of the proposed fault location algorithms (Jiang et al 2012;Das et al 2017;Kang et al 2017) depends on the distributed line parameters.…”

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

View full text Add to dashboard Cite

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%.

show abstract

Diagnosis performance assessment of the secondary protection for a 68‐bus power system

Salman

Qin

2020

Adaptive Control & Signal

View full text Add to dashboard Cite

Summary This article concerns the assessment of diagnosis performance of a recently developed secondary protection (SP) applied to the IEEE 16‐machine 68‐bus test system subject to primary protection (PP) misoperations on transmission short circuit faults. A PP may fail to trip or falsely trip a line. Such PP misoperations have been known to be a main culprit of modern day blackouts. The function of the SP is to take a timely corrective action before a misoperation causes instability through on‐line diagnosis and stability assessment. Its feasibility hinges on the effective utilization of networked advanced digital relays. We have recently built a full set of diagnosis filters with sensor‐localized dynamic transmission circuit models representative of all anticipated line contingencies in the 68‐bus system and computed the postfault stability regions for the contingencies. The sensor‐localized circuit partition drastically reduces the processing and communication complexity of diagnosis. This work evaluates the diagnosis performance of the SP's multiple‐model filters (MMF) using hybrid simulations driven by both randomly generated discrete events of PP misoperations and the governing dynamics of rotor angles of the 16 interconnected synchronous generators. Of the 1000 independent replications of simulation conditioned on each type of randomly generated misoperations, a 98% correct diagnosis rate is achieved. Each diagnosis conclusion is reached by the SP's MMF scheme within a few tens of a millisecond from the onset of a PP misoperation following a random transmission short circuit fault. This suggests that the SP can circumvent a large percentage of potential blackouts cost‐effectively.

show abstract

Transmission line fault detection and location using Wide Area Measurements

Cited by 52 publications

References 30 publications

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

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

Diagnosis performance assessment of the secondary protection for a 68‐bus power system

Contact Info

Product

Resources

About