Preventive inspection of line insulators through corona emission: A case study

Vasquez-Arnez, R.L.; Jardini, M.G.M.; Masuda, M.; Carita, L.A.; Jardini, J.A.

doi:10.1109/tdc.2010.5484226

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Research [ 21 ] inspected the corona effect’s presence in 138 kV line insulators by using ultraviolet cameras. Normally, there was no significant corona effect noticed, only infrequent sparks that were considered negligible.…”

Section: Methodsmentioning

confidence: 99%

Drone–Robot to Clean Power Line Insulators

Gonçalves,

De Oliveira,

Rocioli

et al. 2023

Sensors

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The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line’s critical points are the insulator chains, which are responsible for providing insulation between conductors and structures. The accumulation of pollutants on the insulator surface can cause failures in the power system, leading to power supply interruptions. Currently, the cleaning of insulator chains is performed manually by operators who climb towers and use cloths, high-pressure washers, or even helicopters. The use of robots and drones is also under study, presenting challenges to be overcome. This paper presents the development of a drone–robot for cleaning insulator chains. The drone–robot was designed to identify insulators by camera and perform cleaning through a robotic module. This module is attached to the drone and carries a battery-powered portable washer, a reservoir for demineralized water, a depth camera, and an electronic control system. This paper includes a literature review on the state of the art related to strategies used for cleaning insulator chains. Based on this review, the justification for the construction of the proposed system is presented. The methodology used in the development of the drone–robot is then described. The system was validated in a controlled environment and in field experimental tests, with the ensuing discussions and conclusions formulated, along with suggestions for future work.

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Section: Methodsmentioning

confidence: 99%

Drone–Robot to Clean Power Line Insulators

Gonçalves,

De Oliveira,

Rocioli

et al. 2023

Sensors

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“…The substitution of suspected flawed insulators represent to most of the distribution utilities one of the causes of major concern [13].…”

Section: Flashover Monitoring: Related Workmentioning

confidence: 99%

Flashover monitoring system using wireless sensor network

Al-Absi

Baroudi

Al-Soufi

et al. 2014

2014 IEEE International Conference on Power and Energy (PECon)

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Flashover of insulators in transmission and distribution electric power systems causes a reduction of the system reliability and costly outages for the power company and their customers. In this paper, we present a system in which a wireless sensor network is used for continuous wirelessly monitoring contamination in high voltage insulators. The new system consists of different sensor nodes (e.g. humidity, temperature and dust) mounted on a dummy insulator that has to be placed close to high voltage substation or transmission line tower. The proposed approach is based on the Equivalent Salt Deposit Density (ESDD) severity method in order to check the pollution level on the insulator and to correlate with flashover voltage levels of the insulator string. In this approach, the photons measurement level (i.e. light intensity) is adopted as an indicator to the accumulated pollution level on the insulators. Extensive lab tests were carried out using different pollutants. ESDD measurements have been collected for all the pollution tests performed in the lab and a relationship between these values and the light intensity values has been established to correctly model the contamination level. Using, the established relationship between EESD and light intensity shall enable the power system control unit to accurately predict the flashover and accordingly schedule its crew to visit the site and clean these insulators. Index Terms--Flashover, High Voltage Insulator, Transmission Line Monitoring, Wireless sensor networks (WSN).I.

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