PSD based high impedance fault detection and classification in distribution system

Roy, Subhamita; Debnath, Sudipta

doi:10.1016/j.measurement.2020.108366

Cited by 31 publications

(6 citation statements)

References 29 publications

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“…Roy and Debnath [56] proposed an approach utilizing power spectral density (PSD) calculated from a wavelet covariance matrix. The method decomposes current signals up to the third level via wavelet transform.…”

Section: Signal Processing Techniquesmentioning

confidence: 99%

High-Impedance Fault Diagnosis: A Review

Aljohani

Habiballah

2020

Energies

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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.

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Section: Signal Processing Techniquesmentioning

confidence: 99%

High-Impedance Fault Diagnosis: A Review

Aljohani

Habiballah

2020

Energies

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“…Moreover, there are other methods employed for protection using different techniques such as wavelets [ 25 , 26 , 27 ], fuzzy logic [ 28 ], recursive least square [ 29 , 30 ], differential phase angle [ 31 ], s-transform [ 32 ], power spectral density and transform [ 33 ], deep belief network [ 34 ], Hilbert-Huang transform [ 35 ]. However, these techniques require a complex computational process and a relatively high cost of implementation.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Smart THD-Based Fault Protection Techniques for Distribution Networks

Hanaineh

Matas

Guerrero

2023

Sensors

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The integration of Distributed Generators (DGs) into distribution systems (DSs) leads to more reliable and efficient power delivery for customers. However, the possibility of bi-directional power flow creates new technical problems for protection schemes. This poses a threat to conventional strategies because the relay settings have to be adjusted depending on the network topology and operational mode. As a solution, it is important to develop novel fault protection techniques to ensure reliable protection and avoid unnecessary tripping. In this regard, Total Harmonic Distortion (THD) can be used as a key parameter for evaluating the grid’s waveform quality during fault events. This paper presents a comparison between two DS protection strategies that employ THD levels, estimated amplitude voltages, and zero-sequence components as instantaneous indicators during the faults that function as a kind of fault sensor to detect, identify, and isolate faults. The first method uses a Multiple Second Order Generalized Integrator (MSOGI) to obtain the estimated variables, whereas the second method uses a single SOGI for the same purpose (SOGI-THD). Both methods rely on communication lines between protective devices (PDs) to facilitate coordinated protection. The effectiveness of these methods is assessed by using simulations in MATLAB/Simulink considering various factors such as different types of faults and DG penetrations, different fault resistances and fault locations in the proposed network. Moreover, the performance of these methods is compared with conventional overcurrent and differential protections. The results show that the SOGI-THD method is highly effective in detecting and isolating faults with a time interval of 6–8.5 ms using only three SOGIs while requiring only 447 processor cycles for execution. In comparison to other protection methods, the SOGI-THD method exhibits a faster response time and a lower computational burden. Furthermore, the SOGI-THD method is robust to harmonic distortion, as it considers pre-existing harmonic content before the fault and avoids interference with the fault detection process.

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“…In [ 9 ], fault detection was performed by applying the power spectral density calculated from the wavelet covariance matrix. The signal information was extracted through a wavelet transform (WT), where the signals were decomposed into three levels using the db4 mother wavelet.…”

Section: Introductionmentioning

confidence: 99%

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

Santos

Faria

Lopes

et al. 2022

Sensors

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Fault detection and classification are crucial procedures for electric power distribution systems because they can minimize the occurrence of faults. The methods for fault detection and classification have become more problematic because of the significant expansion of distributed energy resources in distribution systems and the change in their currents due to the action of short-circuiting. In this context, to fill this gap, this study presents a robust methodology for short-circuit fault detection and classification with the insertion of distributed generation units. The proposal methodology progresses in two stages: in the former stage, the detection is based on the continuous analysis of three-phase currents, whose characteristics are extracted through maximal overlap discrete wavelet transform. In the latter stage, the classification is based on three fuzzy inference systems to identify the phases with disturbance. The short-circuit type is identified by counting the shorted phases. The algorithm for short-circuit fault detection and classification is developed in MATLAB programming environment. The methodology is implemented in a modified IEEE 34-bus test system and modeled in ATPDraw with three scenarios with and without distributed generation units and considering the following parameters: fault type (single-phase, two-phase, and three-phase), angle of incidence, fault resistance (high impedance fault and low impedance fault), fault location bus, and distributed generation units (synchronous generators and photovoltaic panels). The accuracy is greater than 94.9% for the detection and classification of short-circuit faults for more than 20,000 simulated cases.

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PSD based high impedance fault detection and classification in distribution system

Cited by 31 publications

References 29 publications

High-Impedance Fault Diagnosis: A Review

High-Impedance Fault Diagnosis: A Review

A Comparative Study of Smart THD-Based Fault Protection Techniques for Distribution Networks

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

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