Advancement of TDR Technique for Locating Power Cable Insulation Degradation

This paper discusses the advancement of time domain reflectometry (TDR) technique for locating degradation in power cable insulation with and without jointing. TDR technique is commonly used for localizing processes in various fields. It applies the concept of radar where a signal propagates through a medium will be reflected when there is an impedance mismatch. However, the application of TDR technique in power cable is still limited and its potential to pinpoint the exact location of degradation in power cables is to be ascertained. This study conducts experiments to investigate the potential of this technique in pinpointing the location of degradation in power cable with and without jointing. Experiments are conducted on un-degraded cable without any joint and followed by cable with jointing up to 2 cable joints. For experiments with jointing, the un-degraded cable is sectionalized into 2 parts, and one of the sections is replaced by a degraded cable. Experiments are repeated by sectionalizing the un-degraded cable into 3 parts, and each section is replaced with a degraded cable up to 2 sections. TDR results from all experiments are compiled and then analyzed. The results obtained from this study have proven that TDR technique is capable of identifying the degradation along a cable and at the same time pinpointing the exact location of degraded cable section

Modeling and simulation of time domain reflectometry signals on a real network for use in fault classification and location

Today, the classification and location of faults in electrical networks remains a topic of great interest. Faults are a major issue, mainly due to the time spent to detect, locate, and repair the cause of the fault. To reduce time and associated costs, automatic fault classification and location is gaining great interest. State-of-the-art techniques to classify and locate faults are mainly based on line-impedance measurements or the detection of the traveling wave produced by the event caused by the fault itself. In contrast, this paper describes the methodology for creating a database and a model for a complex distribution network. Both objectives are covered under the paradigm of the time-domain pulse reflectometry (TDR) principle. By using this technique, large distances can be monitored on a line with a single device. Thus, in this way a database is shared and created from the results of simulations of a real and complex distribution network modeled in the PSCADTM software, which have been validated with measurements from an experimental test setup. Experimental validations have shown that the combination of the TDR technique with the modeling of a real network (including the real injector and the network coupling filter from the prototype) provides high-quality signals that are very similar and reliable to the real ones. In this sense, it is intended firstly that this model and its corresponding data will serve as a basis for further processing by any of the existing state-of-the-art techniques. And secondly, to become a valid alternative to the already well-known Test Feeders but adapted to work groups not used to the electrical world but to the environment of pure data processing

Arc fault protections for aeronautic applications: a review identifying the effects, detection methods, current progress, limitations, future challenges, and research needs

©2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Arc faults are serious discharges, damaging insulation systems and triggering electrical fires. This is a transversal topic, affecting from residential to aeronautic applications. Current commercial aircrafts are being progressively equipped with arc fault protections. With the development of more electric aircrafts (MEA), future airliners will require more electrical power to enhance fuel economy, save weight and reduce emissions. The ultimate goal of MEAs is electrical propulsion, where fault management devices will have a leading role, because aircraft safety is of utmost importance. Therefore, current fault management devices must evolve to fulfill the safety requirements of electrical propelled aircrafts. To deal with the increased electrical power generation, the distribution voltage must be raised, thus leading to new electrical fault types, in particular arc tracking and series arcing, which are further promoted by the harsh environments typical of aircraft systems, i.e., low pressure, extreme humidity and a wide range of temperatures. Therefore, the development of specific electrical protections which are able to protect against these fault types is a must. This paper reviews the state-of-the-art of electrical protections for aeronautic applications, identifying the current status and progress, their drawbacks and limitations, the future challenges and research needs to fulfill the future requirements of MEAs, with a special emphasis on series arc faults due to arc tracking, because of difficulty in detecting such low-energy faults in the early stage and the importance and harmful effects of tracking activity in cabling insulation systems. This technological and scientific review is based on a deep analysis of research and conference papers, official reports, white papers and international regulations.This research was partially funded by the Ministerio de Ciencia e Innovación de España, grant number PID2020-114240RB-I00 and by the Generalitat de Catalunya, grant number 2017 SGR 967.Peer ReviewedPostprint (author's final draft

Fault Location in Grid Connected Ungrounded PV Systems Using Wavelets

Solar photovoltaic (PV) power has become one of the major sources of renewable energy worldwide. This thesis develops a wavelet-based fault location method for ungrounded PV farms based on pattern recognition of the high frequency transients due to switching frequencies in the system and which does not need any separate devices for fault location. The solar PV farm used for the simulation studies consists of a large number of PV modules connected to grid-connected inverters through ungrounded DC cables. Manufacturers report that about 1% of installed PV panels fail annually. Detecting phase to ground faults in ungrounded underground DC cables is also difficult and time consuming. Therefore, identifying ground faults is a significant problem in ungrounded PV systems because such earth faults do not provide sufficient fault currents for their detection and location during system operation. If such ground faults are not cleared quickly, a subsequent ground fault on the healthy phase will create a complete short-circuit in the system, which will cause a fire hazard and arc-flashing. Locating such faults with commonly used fault locators requires costly external high frequency signal generators, transducers, relays, and communication devices as well as generally longer lead times to find the fault. This thesis work proposes a novel fault location scheme that overcomes the shortcomings of the currently available methods. In this research, high frequency noise patterns are used to identify the fault location in an ungrounded PV farm. This high frequency noise is generated due to the switching transients of converters combined with parasitic capacitance of PV panels and cables. The pattern recognition approach, using discrete wavelet transform (DWT) multi-resolution analysis (MRA) and artificial neural networks (ANN), is utilized to investigate the proposed method for ungrounded grid integrated PV systems. Detailed time domain electromagnetic simulations of PV systems are done in a real-time environment and the results are analyzed to verify the performance of the fault locator. The fault locator uses a wavelet transform-based digital signal processing technique, which uses the high frequency patterns of the mid-point voltage signal of the converters to analyze the ground fault location. The Daubechies 10 (db10) wavelet and scale 11 are chosen as the appropriate mother wavelet function and decomposition level according to the characteristics of the noise waveform to give the proposed method better performance. In this study, norm values of the measured waveform at different frequency bands give unique features at different fault locations and are used as the feature vectors for pattern recognition. Then, the three-layer feed-forward ANN classifier, which can automatically classify the fault locations according to the extracted features, is investigated. The neural network is trained with the Levenberg-Marquardt back-propagation learning algorithm. The proposed fault locating scheme is tested and verified for different types of faults, such as ground and line-line faults at PV modules and cables of the ungrounded PV system. These faults are simulated in a real-time environment with a digital simulator and the data is then analyzed with wavelets in MATLAB. The test results show that the proposed method achieves 99.177% and 97.851% of fault location accuracy for different faults in DC cables and PV modules, respectively. Finally, the effectiveness and feasibility of the designed fault locator in real field applications is tested under varying fault impedance, power outputs, temperature, PV parasitic elements, and switching frequencies of the converters. The results demonstrate the proposed approach has very accurate and robust performance even with noisy measurements and changes in operating conditions

Cable Monitoring Using Broadband Power Line Communication

Power line communication (PLC) is considered one of the possible communication technologies for applications in the field of smart metering, smart substations, smart homes, and recently for the management of renewable resources or micro grid control. This article deals with the use of PLC technology to determine the technical condition of the cable. This coefficient can help distribution system operators (DSO) to assess the condition of their cable routes. In this way, possible cable breakdowns and subsequent power outages can be prevented. The resulting methodology for calculating the coefficient is presented in two specific examples of routes, in which a significant benefit for DSO’s can be found

High voltage covered conductor overhead lines: detection of incipient tree faults

The aim of this thesis is the study of a new type of high voltage overhead power line, made by means of an insulation layer located around the conductor: these are the covered conductor lines. In particular, the work focuses on the study of the behaviour of these conductors when they get in contact with the vegetation around, which can touch or fall on the line.ope

Pipe Wall Condition Assessment and Leak Detection using Paired Pressure Sensors with Hydraulic Transient Analysis

This PhD research has developed new measurement strategies and analysis techniques to enable hydraulic transient-based condition assessment of targeted pipe sections in complex pipe systems. The conventional practice of hydraulic transient-based pipeline condition assessment involves analysis of signals from a single pressure sensor located at each measurement site. Although multiple measurement sites can be used, they are typically far apart from each other since the access points (e.g. air valves or fire hydrants) are usually sparsely located. The pressure measurement obtained from a single sensor is a superposition of reflections coming from both upstream and downstream of the sensor. This superposition makes the measured wave reflections often too complex to analyse, especially in complex pipe systems where multiple features (e.g. deteriorated sections, branches and cross-connections, and other unknown features) often exist in the pipe section of interest. The research presented in this thesis has proposed a dual-sensor measurement strategy that uses two closely placed pressure sensors at a measurement site, and has developed a wave separation algorithm that enables the extraction of the two directional pressure waves travelling upstream and downstream. The wave separation can significantly simplify the signal to be analysed, and the unprecedented directional information enables advanced condition assessment techniques to be developed. Numerical and experimental verification has been conducted, with an application to pipe wall condition assessment. In the experimental verification, conventional flush-mounted pressure transducers have been used by connecting through closely located tapping points on the pipe wall. In addition, a customised in-pipe fibre optic pressure sensor array has been developed and tested in the laboratory, as a step towards real-world implementation. The sensor array cable can be inserted into a pipe through a single access point, avoiding the use of multiple tapping points. Complexities introduced by the in-pipe cable have been investigated, and accordingly, adjustments to the wave separation and wall condition assessment techniques have been made. The wave separation technique has been further developed by using a two-source-four-sensor transient testing configuration to enable the virtual isolation of a targeted pipe section in complex systems. Two dual-sensor units (i.e. two pairs of pressure sensors) are used to bracket the targeted pipe section, with the two sensors in each pair being located in close proximity. Two transient pressure wave generators are used, which bracket the four sensors and the “virtually” isolated pipe section. This measurement strategy enables the extraction of the transfer matrix of the “virtually” isolated pipe section, which is a full representation of the characteristics of this section independent from any complexities outside the section bounded by the sensors. A novel leak detection technique has been developed based on the analysis of the extracted transfer matrix, and has been validated by numerical simulation. The technique determines the leak location and impedance (related to the leak size), and it is applicable to the detection of multiple leaks.Thesis (Ph.D.) -- University of Adelaide, School of Civil, Environmental & Mining Engineering, 201

Partial discharge detection for condition monitoring of covered-conductor overhead distribution networks using Rogowski coil

Partial discharge (PD) is a small electrical avalanche caused by locally disrupted electric fields in dielectric materials, and is known to be one of the major factors which accelerate the degradation of electrical insulation. This thesis deals with a relatively new and challenging application of conducting on-line high frequency PD measurements for the monitoring of falling trees on covered-conductor (CC) overhead distribution lines. A measuring test set-up was arranged in the high voltage laboratory for real-time analysis. A pine tree was leaned against a 20 kV energized conductor and PDs were measured at different locations on the CC line using a Rogowski coil. The time domain reflectometry (TDR) measurement technique is presented to extract the frequency-dependent wave propagation characteristics (attenuation, phase constant, and propagation velocity) of CC overhead distribution lines. The theoretical modeling of the CC line based on its geometry is presented using two-wire transmission line theory and its frequency-dependent line characteristics are derived. The theoretical model is verified experimentally using TDR measurements taken on a certain length of the line. The entire single-phase on-line PD monitoring system including CC line and Rogowski coil is simulated in the electromagnetic transient program-alternative transient program (EMTP-ATP) simulation environment for detecting falling trees on CC overhead distribution lines. The model is confirmed by the measurement results taken in the laboratory. The model can be used to estimate the length of the CC line at which the PDs due to falling trees can be detected, thus deciding the number and positioning of the sensors over a particular length of the CC line. Moreover, the challenges in on-line condition monitoring of falling trees on CC lines using wireless sensors are also discussed. The wavelet transform technique is applied as a powerful tool to de-noise on-line PD signals, which are completely buried by electromagnetic interference. Automatic detection of falling trees will reduce visual inspection work after storms and it will improve the reliability and safety of the distribution system. The system can be planned to be integrated into the distribution automation system to reduce the overall costs of CC lines

Online condition monitoring of MV cable feeders using Rogowski coil sensors for PD measurements

Condition monitoring is a highly effective prognostic tool for incipient insulation degradation to avoid sudden failures of electrical components and to keep the power network in operation. Improved operational performance of the sensors and effective measurement techniques could enable the development of a robust monitoring system. This paper addresses two main aspects of condition monitoring: an enhanced design of an induction sensor that has the capability of measuring partial discharge (PD) signals emerging simultaneously from medium voltage cables and transformers, and an integrated monitoring system that enables the monitoring of a wider part of the cable feeder. Having described the conventional practices along with the authors’ own experiences and research on non-intrusive solutions, this paper proposes an optimum design of a Rogowski coil that can measure the PD signals from medium voltage cables, its accessories, and the distribution transformers. The proposed PD monitoring scheme is implemented using the directional sensitivity capability of Rogowski coils and a suitable sensor installation scheme that leads to the development of an integrated monitoring model for the components of a MV cable feeder. Furthermore, the paper presents forethought regarding huge amount of PD data from various sensors using a simplified and practical approach. In the perspective of today’s changing grid, the presented idea of integrated monitoring practices provide a concept towards automated condition monitoring.fi=vertaisarvioitu|en=peerReviewed