High Impedance Fault Detection using Advanced Distortion Detection Technique

Abstract

A High Impedance Fault (HIF) in the power distribution systems remains mostly undetected by conventional protection schemes due to low fault currents. Apart from degrading the reliability of power supply to customers, HIF can impose a high cost on the utilities due to technical damages. The nonlinear and asymmetric nature of HIF makes its detection and identification very challenging. HIF signatures are in the form of minute-level distortions in the observable AC sinusoidal voltage and current waveforms but these signatures do not follow a clear pattern. In this paper we present Advanced Distortion Detection Technique (ADDT), based on waveform analytics to distinguish and detect HIF. In addition, the ADDT analysis provides a fair assessment about the location and severity of HIF for efficient decision-making at the DSO level. ADDT is computationally lightweight and can be implemented in actual relays, hence providing an easy and cost-effective solution to HIF detection issues. ADDT robustness is tested in several simulation cases of interest using the IEEE-34 and IEEE-13 distribution test feeder systems in RTDS power system simulator. The test results successfully demonstrate the effectiveness and robustness of ADDT.

A novel fault monitoring method based on impedance estimation of power line communication equipment

“…), even differential protection due to short circuit current controlled by power electronic reduction also fail. These situations present new challenges for the monitoring of grid faults (Aucoin et al, 1982;Lee et al, 1985;Balser et al, 1986;Wang et al, 2018;Bhandia et al, 2020;Guillen et al, 2022).…”

“…Considerable research has been conducted on fault monitoring and localization, and have achieved specific research results. These methods include voltage-, current- (Aucoin et al, 1982;Lee et al, 1985;Balser et al, 1986;Wang et al, 2018;Bhandia et al, 2020), and PLC-based methods (Sedighi et al, 2005;Costa et al, 2015;Chul-Hwan et al, 2002;Lai et al, 2005;Michalik et al, 2007;Michalik et al, 2008). Conventional methods based on voltage and current: Aucoin et al (1982) proposed using current waveforms in the 2-10-kHz band as fault features and features of high-frequency information for high-impedance fault monitoring.…”

“…Wang et al (2018) proposed a novel high-impedance fault detection method based on non-linear voltage and current characteristics. Bhandia et al (2020) used voltage and current waveform distortion detection of the distribution system to distinguish and detect HIF. Sedighi et al (2005) proposed a novel method for high-impedance fault detection based on a pattern recognition system in which wavelet transform was used for signal decomposition and feature extraction.…”

“…Most traditional fault voltage and current based methods applied to future highly power electronic grids will degrade monitoring performance as power electronic control reduces fault currents and isolates the AC sequence component (Aucoin et al, 1982;Lee et al, 1985;Balser et al, 1986;Wang et al, 2018;Bhandia et al, 2020;Jia et al, 2018). Most of the existing monitoring methods use lowfrequency monitoring quantity, thus may ignore the fault information in the high frequency band; and in locating the fault often need to install additional equipment for signal injection or monitoring, which increases the cost to some extent (Teng et al, 2014;Niu et al, 2021).…”

Faulty Line Identification Method Based on Bayesian Optimization for Distribution Network

“…Shi et al [20] proposed a SPG fault section identification method based on feature extraction of the synchronous waveforms and the calculation of the eigenvalues for the time-sequenced features. R. Bhandia et al [21] presented an advanced distortion detection technique (ADDT), based on waveform analytics to distinguish SPG fault and detect HIF. These methods usually take various waveforms of the initial traveling wave and waveform distortions as the fault characteristics.…”