Enhance High Impedance Fault Detection and Location Accuracy via $\mu$ -PMUs

Cui, Qiushi; Weng, Yang

doi:10.1109/tsg.2019.2926668

Cited by 107 publications

(33 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The states can be evaluated by the modified Viterbi method to assess data uncertainties to quantify mismatch 57 . This SSL approach is an information‐assessment technique to determine potential adverse events that can affect the system 58 …”

Section: Methods Used In Sbr Evaluationmentioning

confidence: 99%

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary The gradual sprawl of power system toward smart grid and enhanced integration of distributed energy resources at the distribution end is transforming the conventional distribution system and is eventually making it self‐sustained. The distribution system is thus continuously evolving to prepare itself for any unforeseen natural, man‐made, and complex events. These events may impact the distribution system as high‐impact low‐frequency (HILF) scenarios. The high intensity and widespread damage of the power system due to HILF scenarios necessitate resilience. Resilience analysis aims to identify these region‐specific vulnerabilities of the electricity network and implement appropriate methods to quickly restore the system to its predisturbance state. Further to enhance the network visibility and situational awareness, integration of synchrophasor to resilience is significant. Therefore, synchrophasor technology integrated with resilience provides online wide area visibility of the distribution system. Using synchrophasor for resilience assessment propels an agile network for coordinating accurate and timely analysis of the system parameters. Therefore, understanding the concept of resilience, its evolution, detailed overview, synchrophasor‐based resilience (SBR) methods as well as its applications are necessary. This article outlines the key points of the synchrophasor technology based resilience technique, its significance, and lays a foundation for continuing research in this area. It offers detailed insight into the comprehensive review of this evolving concept. The article majorly focuses on all the aspects of SBR, its necessity in performance evaluation, synchrophasor measurement based resilience enhancement methods, and application of different SBR techniques in the distribution system. A detailed comparative analysis of SBR features, sample efficiency, result accuracy, merits, and demerits based on available literature is provided. Finally, future perspectives are discussed for implementing resilience assessment using synchrophasor technology in the distribution system.

show abstract

Section: Methods Used In Sbr Evaluationmentioning

confidence: 99%

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Such measurements provide an accurate representation of current and voltage waveforms in power systems. An application of SPMUs in HIF diagnosis was discussed in [73,74] but the implementation of SPMUs in HIF location considering fault asymmetry and load nonlinearity is subject to further research.…”

Section: Data Acquisitionmentioning

confidence: 99%

High-Impedance Fault Diagnosis: A Review

Aljohani

Habiballah

2020

Energies

View full text Add to dashboard Cite

High-impedance faults (HIFs) represent one of the biggest challenges in power distribution networks. An HIF occurs when an electrical conductor unintentionally comes into contact with a highly resistive medium, resulting in a fault current lower than 75 amperes in medium-voltage circuits. Under such condition, the fault current is relatively close in value to the normal drawn ampere from the load, resulting in a condition of blindness towards HIFs by conventional overcurrent relays. This paper intends to review the literature related to the HIF phenomenon including models and characteristics. In this work, detection, classification, and location methodologies are reviewed. In addition, diagnosis techniques are categorized, evaluated, and compared with one another. Finally, disadvantages of current approaches and a look ahead to the future of fault diagnosis are discussed.

show abstract

“…Guo et al [9] proposed a novel method of fault-section location using the transient zero-sequence currents at doubleends of the line section. Cui et al [10] proposed a high impedance fault (HIF) monitoring and location scheme using the combination of transient-and steady-state fault characteristics for distribution network. In order to analyze transient signals, the new filtering algorithms, such as wavelet packet transform, Teager-Kaiser energy operators are used to extract the fault transient characteristics [11,12], so as to identify the faulty line.…”

Section: Introductionmentioning

confidence: 99%

Faulty Line Identification Method Based on Bayesian Optimization for Distribution Network

Zhu

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Selective ground-fault protection is greatly valued for the safe and reliable operation of power systems. With the wide adoption of fault indicator in distribution network, the amount of available fault data increases dramatically. The in-depth investigation of fault recording data helps improve the accuracy of faulty line identification. To perform fault data analysis with higher efficiency, a single-phaseto-ground fault identification model based on the k-Nearest Neighbor (kNN) classification algorithm is proposed in the paper. In this model, the eigenvectors consist of wavelet energy ratio, wavelet coefficients variance and wavelet power obtained by the decomposition of transient components. Furthermore, through the theoretical analysis and experimental comparison of three parameter adjustment algorithms, Bayesian Optimization algorithm is selected to find the optimal parameters of fault identification model, and realize the adaptive adjustment of model parameters. Finally, the validity and feasibility of the model are verified by the experimental data, and the accuracy and efficiency of fault identification are improved by using Bayesian Optimization algorithm.

show abstract

Enhance High Impedance Fault Detection and Location Accuracy via $\mu$ -PMUs

Cited by 107 publications

References 42 publications

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

High-Impedance Fault Diagnosis: A Review

Faulty Line Identification Method Based on Bayesian Optimization for Distribution Network

Contact Info

Product

Resources

About