High impedance fault detection using wavelet transform

Sekar, Kavaskar; Mohanty, Nalin Kant; Sahoo, Ashwin Kumar

doi:10.1109/icsesp.2018.8376740

Cited by 16 publications

(7 citation statements)

References 17 publications

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“…Through decentralized communication, a choice is made based on the detection of HIF from both relays on the same feeder. All previous work depended on the detection of HIF from a single relay, which in some cases resulted in false tripping or prolonged the detection time [27], [28], [29].…”

Section: -A Novel Hif Detection Technique Based On Waveletmentioning

confidence: 99%

“…Amongst the most popular techniques, wavelet transform is used to detect HIF. The ability of wavelet transform to decompose a signal into different frequency bands and location in time, with various types of wavelet mother function, can be used to detect HIF [27], [28], [29].…”

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confidence: 99%

“…As a modification, one or 365 two fixed or variable resistances are added to this model. 366 Other strategies used transient analysis of control systems 367 (TACS) to control the fault's connection and resistance 368 value[27],[28],[29]. current value is less than 10% of the normal current in the 379 system being tested.…”

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confidence: 99%

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Improved Adaptive Protection Scheme Based Combined Centralized/Decentralized Communications for Power Systems Equipped With Distributed Generation

2022

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Recently, numerical relays with communication capabilities have been employed to provide adaptive solutions for Distributed Generations (DGs) protection issues. This paper presents an adaptive protection scheme based on centralized and decentralized communication to address DG protection problems. The proposed method uses two directional relays in each feeder, one at the beginning (called forward relay) and one at the end (called reverse relay). These relays can communicate with each other and the central unit. The centralized communication occurs between the central unit and the relays in the system when any relay's status changes from connected to disconnected or vice versa. It aims to define the operation mode, islanding detection, and activate the relays settings to achieve proper coordination. Protective relays are coordinated using a Genetic Algorithm (GA) to optimize protection time. The optimization problem considers pick up current (Ipu), Time Multiplier Setting (TMS), Plug Setting Multiplier (PSM), and curve type. Decentralized communication, which occurs when any relay detects a fault, increases relays' accuracy and speed of decision-making. This paper also proposes a novel method for detecting High Impedance Faults (HIF), a significant difficulty for protecting engineers as it draws a very low current that conventional overcurrent relays fail to detect in most cases. HIF is detected using wavelet transform, symlet 8, detail 2 (d2), and relay communication. On the IEC benchmark microgrid, the suggested algorithm is tested. ETAP is used for load flow analysis and short circuit analysis, whereas MATLAB is used for GA optimization, HIF modelling, and wavelet transform routines. INDEX TERMSDistributed generation, directional overcurrent relay, genetic algorithm, coordination time interval, time multiplier setting, plug setting multiplier, pickup current, wavelet transform. I. INTRODUCTION 20 Insertion of Distributed Generation (DGs) has some draw-21 backs on stability, power quality, and protection of the sys-22 tem, depending on size, location, type, and number of DGs 23 connected to the system, these drawbacks can limit both size 24 and number of DGs connected to the system [1]. The addition 25 of DGs increase the short circuit level and cause a current26

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Section: -A Novel Hif Detection Technique Based On Waveletmentioning

confidence: 99%

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confidence: 99%

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Improved Adaptive Protection Scheme Based Combined Centralized/Decentralized Communications for Power Systems Equipped With Distributed Generation

2022

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“…Sekar et al [ 19 ] proposed an intelligent method based on WT and data mining for HIF detection. The main characteristics of three-phase current signals were extracted via WT.…”

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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“…Typical applications include analysis of transients, protection, detection and classification, power quality, etc. [17]. Unlike the "Fourier transform", WT is capable of providing information on frequency and time simultaneously, and hence gives multiple resolutions, which is the most important feature when analyzing signals in transient containing high and lowfrequency components.…”

Section: Introductionmentioning

confidence: 99%

Archives of Electrical Engineering

Suliman,

Alkhayyat

2021

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Detecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet transform (WT) technique is a powerful tool for transient analysis of fault signals and gives information both on the time domain and frequency domain, this technique has been considered for an unconventional fault like high impedance fault. This paper presents a new technique that utilizes the features of energy contents in detail coefficients (D4 and D5) from the extracted current signal using a discrete wavelet transform in the multiresolution analysis (MRA). The adaptive neurofuzzy inference system (ANFIS) is utilized as a machine learning technique to discriminate HIF from other transient phenomena such as capacitor or load switching, the new protection designed scheme is fully analyzed using MATLAB feeding practical fault data. Simulation studies reveal that the proposed protection is able to detect HIFs in a distribution network with high reliability and can successfully differentiate high impedance faults from other transients.

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High impedance fault detection using wavelet transform

Cited by 16 publications

References 17 publications

Improved Adaptive Protection Scheme Based Combined Centralized/Decentralized Communications for Power Systems Equipped With Distributed Generation

Improved Adaptive Protection Scheme Based Combined Centralized/Decentralized Communications for Power Systems Equipped With Distributed Generation

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

Archives of Electrical Engineering

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