DSTRP A new algorithm for high impedance fault detection (original) (raw)
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Comparative Analysis of High Impedance Fault Detection Techniques on Distribution Networks
IEEE Access
This study focused on comparing the performance of three high impedance fault detection techniques for the case of a distribution network to select the technique that is best suited for detecting faults in this network. The three most common techniques; discrete Fourier transform, discrete wavelet transform, and the power spectrum among other techniques were selected for the research work based on literature. The distribution network was modelled in MATLAB/Simulink, along with the High Impedance Fault condition. These fault detection techniques were modelled and applied separately to the distribution network under different operating conditions: high impedance fault, load switching, and normal operation. The suitability of these techniques for the distribution network is evaluated by comparing them in terms of accuracy, processing time, and fault detection margin. The power spectrum technique was found to be the most suitable technique for detecting high impedance faults on a distribution network, with a 100% accuracy, a shorter processing time, and a larger fault detection margin. INDEX TERMS Discrete Fourier transforms, discrete wavelet transforms, fault currents, fault detection, fault diagnosis, power distribution faults, power distribution networks, power system faults, power system protection, signal processing algorithms.
Detection of High Impedance Fault in Distribution Networks
Ain Shams Engineering Journal, 2019
This paper presents a new detection methodology for High Impedance Faults (HIFs) in power distribution networks based on Mathematical Morphology (MM). In the proposed method, the current signals are observed from the distribution feeder to detect HIFs. MM is used to extract the features in a time domain and a simple rule based algorithm to classify HIFs from other power system disturbances. An electric power distribution system was used to generate data such as HIFs, Low Impedance Faults (LIFs) and other switching transients using MATLAB/SIMULINK. From the results of the proposed method, it is found that the method could detect and differentiate HIFs from other disturbances in less time compared to other methods with high security and dependability. The function of the proposed method is not affected by various conditions such as the location, inception time, and type of fault.
High impedance fault detection in distribution system
International Journal of Advances in Applied Sciences (IJAAS) , 2019
High impedance faults (HIFs) present a huge complexity of identification in an electric power distribution network (EPDN) due to their characteristics. Further, the growth of non-linear load adds complexity in HIF detection. One primary challenge of power system engineers is to reliably detect and discriminate HIFs from normal distribution system load and other switching transient disturbances. In this study, a novel HIF detection method is proposed based on the simulation of an accurate model of an actual EPDN study with real data. The proposed method uses current signal alone and does not require voltage signal. Wavelet transform (WT) is used for signal decomposition to extract statistical features and classification of HIF into Non-HIF (NHIF) by Neural Networks (NNs). The simulation study of the proposed method provides good, consistent and powerful protection for HIF.
New algorithm for determination of faulty feeder in distribution network
11th IET International Conference on Developments in Power Systems Protection (DPSP 2012), 2012
This paper presents a novel approach designed for centralize substation level protection to determine the faulty feeder in a distribution network In opposite to phase-to-earth faults in the transmission networks (HV), which neutral points are solidly earthed, fault-loops in a fault-to-earth case in MV distribution networks have big impedance. Additionally during the earthfault the transient component which provides very fast information about the disturbance in the system appears. Such signals consist of different frequency components, which result from charging or discharging of the network capacitances. From all of this reasons, detection of earth-fault and determination of a faulty feeder at a bus-bar with many outgoing feeders arises serious problems. In this paper a new approach which utilized a polarity changes between fundamental frequency component of zero sequence current and a voltage directly after the fault inception is presented. The described algorithm is designed for centralize substation level protection and therefore utilized the zero sequence bus-bar voltage and residual currents from all feeders. Provided simulation experiments in ATP/EMTP software package confirms the effectiveness of the proposed technique for selection a faulty feeder during phase-to-earth fault in different networks (directly or solidly earthed; network earthed through impedance; isolated network), and under different fault scenarios-different fault inception angles, including random mechanism and higher fault resistances.
An improved method for high impedance fault detection in medium voltage networks
Tehnicki Vjesnik-technical Gazette, 2017
Original scientific paper This paper presents a set of rules for an intelligent algorithm of high impedance fault detection by observing the phase to ground voltage, phase to phase current and harmonics of fault current. Several techniques to detect high impedance faults already exist for example current injection in the neutral, superposing voltage signals, harmonic analysis, neural networks. The main disadvantage of all methods is that the normal system activity may cause false tripping of the protection device. Our goal is to give a set of rules for an algorithm that can make a secure decision that a particular feeder event is high impedance fault. The set of rules was carried out from simulation results simulated in MATLAB. The proposed approach was trained and tested with 200 data sets and provides excellent results.
High Impedance Fault Detection in Distribution Network using Time-Frequency Based Algorithm
IEEE Transactions on Power Delivery, 2014
This paper proposes a new approach for high impedance faults detection. The approach is based on the DQtransformation with an adaptive filtering technique for detection signal generation. Transient signals detection is made by means of two thresholds, which are self-adaptive with the noise level present on the detection signal. The thresholds definition is made with an algorithm designed to confirm true transients from false. The proposed approach is evaluated through simulated test scenarios of high impedance faults on a modelled real distribution network. An evaluation of the proposal with additive noise confirms the robustness in detection of transients induced by high impedance faults.
Electric Power Systems Research, 2010
Service continuity is one of the major aspects in the definition of the quality of the electrical energy, for this reason the research in the field of faults diagnostic for distribution systems is spreading ever more. Moreover the increasing interest around modern distribution systems automation for management purposes gives faults diagnostics more tools to detect outages precisely and in short times. In this paper, the applicability of an efficient fault location and characterization methodology within a centralized monitoring system is discussed. The methodology, appropriate for any kind of fault, is based on the use of the analytical model of the network lines and uses the fundamental components rms values taken from the transient measures of line currents and voltages at the MV/LV substations. The fault location and identification algorithm, proposed by the authors and suitably restated, has been implemented on a microprocessor-based device that can be installed at each MV/LV substation. The speed and precision of the algorithm have been tested against the errors deriving from the fundamental extraction within the prescribed fault clearing times and against the inherent precision of the electronic device used for computation. The tests have been carried out using Matlab Simulink for simulating the faulted system.
High impedance fault detection and location in distribution networks using smart meters
2018
High impedance faults (HIFs) present great difficulty of identification and location in distribution networks (DN) due to their characteristics of low current magnitude. Advances in smart grids and distribution automation allow the detection of disturbances that were previously unnoticeable in DN. This work aims to present a new method for detection and location of HIFs from smart meters placed at strategic points in the feeder, using a voltage unbalance based approach. The methodology was evaluated through simulations in MATLAB / Simulink, focusing on the detection of high impedance series faults. The results showed that the algorithm effectively identifies broken conductors, with or without ground faults, located either at the load or source side. Once technical and economic feasibility is proven, these methods can assist energy distribution utilities in restoring the normal operating conditions of the distribution network.
Preventative high impedance fault detection using distribution system state estimation
Electric Power Systems Research, 2020
A considerable portion of the events occurring in distribution systems are high-impedance faults (HIFs), which are rarely detected by conventional overcurrent and overload protection. HIF draws non-predictable currents from the network, occasionally leading to arcing. Existing HIF detection methods focus on the transient properties of HIF and define it as a feature extraction problem, hence requiring measurements with high resolution. Alternatively, we propose using the static properties of HIF for its detection. We show that regardless of the HIF transient behavior, its effective current and average power will affect the system static state variables. Thus, we define the HIF detection in a static framework, realized using a central state estimator. The distribution system state estimation model is augmented to allow for HIF detection across the entire system. The IEEE 13-bus and 123-bus systems are selected to evaluate the effectiveness of the proposed approach to HIF detection, where system observability is also investigated.