Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment

Abstract

This version is available at https://strathprints.strath.ac.uk/63466/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract Monitoring of partial discharge (PD) activity within high-voltage electrical environments is increasingly used for the assessment of insulation condition. Traditional measurement techniques employ technologies that either require off-line installation or have high power consumption and are hence costly. A wireless sensor network is proposed that utilizes only received signal strength to locate areas of PD activity within a high-voltage electricity substation. The network comprises low-power and low-cost radiometric sensor nodes which receive the radiation propagated from a source of PD. Results are reported from several empirical tests performed within a large indoor environment and a substation environment using a network of nine sensor nodes. A portable PD source emulator was placed at multiple locations within the network. Signal strength measured by the nodes is reported via WirelessHART to a data collection hub where it is processed using a location algorithm. The results obtained place the measured location within 2 m of the actual source location.

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

“…The hardware platform (Xilinx Zynq-7000 All Programmable System-on-Chip [29]) (Xilinx, San Jose, CA, USA) utilizes the processing system as a central unit for controlling tasks. At the same time, it can offload high-speed processing and complex works (e.g., signal denoising) on programmable logic (FPGA), providing a higher level of freedom than the case of using only a microcontroller unit (MCU) [30,31].…”

Partial discharge localization based on received signal strength

“…By inspecting Fig. 4 it can be clearly seen that some very strong interference caused by TV broadcasting and mobile communications systems in the band of 500-800 MHz is present [17]. To avoid this interference, this band is removed and the new calculated PD band is 50 -450 MHz.…”

Partial discharge detection in smart grid using software defined radio

“…In general, partial discharge detection and efficient monitoring can play a significant role in the ongoing maintenance of a high-voltage plant and power generation system. Because of the increased regulatory and operational requirements and the large capital value of equipment, the need for an efficient condition monitoring system has become an inevitable need so as to avoid power equipment failure, and optimal assurance for equipment uptime, reliability and quality services [5][6][7][8][9][10]. In order to ensure optimal power generation and its reliability, the assurance of efficient functioning of the comprising components is required.…”