Abstract
A wireless sensor network (WSN) with the potential to monitor and locate partial discharge (PD) in high-voltage electricity substations using only received signal strength (RSS) is proposed. The advantages of an RSS-based operating principle over more traditional methods (e.g., time-of-arrival and time-difference-of-arrival) are described. Laboratory measurements of PD that emulate the operation of a PD WSN are presented. The hardware architecture of a prototype PD WSN is described and the particular challenges of an RSS-based location approach in an environment with an unknown, and spatially varying, path-loss index are discussed. It is concluded that an RSS-based PD WSN is a plausible solution for the monitoring of insulation integrity in electricity substations.
Highlights
The integrity of electrical insulation in high voltage (HV) electricity transmission and distribution networks is a crucial issue for equipment reliability
The presence of partial discharge (PD) is a reliable indicator of compromised insulation in HV transmission and distribution equipment
Such PD comprises of narrow pulses which have spectra extending into the gigahertz region
Summary
The integrity of electrical insulation in high voltage (HV) electricity transmission and distribution networks is a crucial issue for equipment reliability. PD is a localised discharge that bridges only part of the space between the electrodes sustaining the electric field [1] It comprises short-duration (typically 1 ns to 1 μs) current pulses that occur predominantly in the first and third quadrants of the power system cycle. Progress in the development of a radiometric wireless sensor network (WSN) to provide whole-substation insulation condition monitoring is presented. Such a WSN has significant benefits over wired counterparts including ease of installation and reconfiguration, lower installation costs and scalability. A cost-effective radiometric detection system for the detection, localization and diagnosis of PD has the potential to be a key part of the future smart grid
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
