Partial discharge detection in smart grid using software defined radio

Mohamed, Hamd; Lazaridis, Pavlos I.; Khan, Umar Farooq; Saeed, B.; Mistry, Keyur K.; Upton, David; Mather, Peter; Glover, Ian

doi:10.1109/telfor.2017.8249457

Cited by 6 publications

(7 citation statements)

References 17 publications

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“…Algorithms such as TOA, TDOA, AOA and DOA are all based on the localization of PD sources based on real PD pulses [9][10][11]. This brings the need for time based receiver node synchronization [12,13].…”

Section: Introductionmentioning

confidence: 99%

Use of Optimized Centroid and Weighted Centroid Algorithms to Locate a Partial Discharge Source by Using Received Signal Strength

Khan

Janjua

Ayub

et al. 2020

2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)

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Received signal strength (RSS) based localization of a source is a simple but effective technique. In RSS based localization source location is estimated by converting obtained signal into distance. In this paper, centroid and weighted centroid algorithms has been utilized to locate a partial discharge (PD) source. An artificial PD signal was generated, and signals were captured using radio frequency (RF) sensors and hence the location of the source was estimated. The location of the source was estimated for three different positions. There were eight measurement sensors used and received signal was converted into dBm as input to the location algorithm.

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Section: Introductionmentioning

confidence: 99%

Use of Optimized Centroid and Weighted Centroid Algorithms to Locate a Partial Discharge Source by Using Received Signal Strength

Khan

Janjua

Ayub

et al. 2020

2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)

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“…PD can be of various types including internal, external and surface discharge etc. [1][2][3]. PD initially is a slow activity and it gets stronger with time if not resolved properly.…”

Section: Introductionmentioning

confidence: 99%

“…In the frequency domain PD signals are recorded using spectrum analyzer (SA). The PD spectrum consists of magnitude versus frequency [23].…”

mentioning

confidence: 99%

A Comparative study on Partial Discharge Emulators

Mohamed

Khan

Yusuf

et al. 2020

2020 28th Telecommunications Forum (TELFOR)

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Partial Discharge (PD) detection plays a vital role in electrical power stations, it can help protecting the high voltage equipment, it can prevent explosion of these equipment and hence preventing a catastrophic failure. PD detection can be performed in two modes, i.e. frequency domain and time domain. The characteristics of PD signal varies due to size and type of equipment it arises from. Wireless emerging technologies such as Software Defined Radio (SDR) can be used for PD detection. In this paper two PD source were employed to generate PD signals, a floating-electrode PD emulator was used and PD signals were detected using SDR system, and, a floatingelectrode PD emulator is replaced by a HVPD pC calibrator, while the detection system is kept the same. A comparison shows that afloating-electrode PD emulator generates stronger PD signals than HVPD pC calibrator. Furthermore, although a HVPD pC calibrator is commercial and more sophisticated and expensive than floating-electrode PD emulator, a floatingelectrode PD emulator generates stronger signals and overall better results.

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“…High frequency current transformers (HFCTs) [3], transient earth voltage (TEV) detectors [4], internal UHF antennas [5], and radiometric PD sensors [6][7] all represent practical RF sensors that are being used to monitor and locate PD occurring in cables, switchgear and transformers. Most of these sensors require a dedicated software and hardware platform to integrate them into a system so they can be efficiently utilised to monitor and locate PDs [8].…”

Section: Introductionmentioning

confidence: 99%

A Supervisory System for Partial Discharge Monitoring

Saeed

Upton

Vieira

et al. 2018

2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)

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Continuous measurement of partial discharge plays a vital role in monitoring the status of high voltage equipment in electricity substations. This requires a comprehensive supervisory system to detect, monitor, collect and locate partial discharge activities. Most of the sensors developed so far require a dedicated software and hardware platform to integrate them into a system. A comprehensive supervisory system is proposed and designed that integrates broadband radiometric sensors into a robust wireless network. The network is easy to install and reconfigure. Partial discharge activities are collected by the sensors and transferred to a central database where processed to provide monitoring, visualisation and localisation of the partial discharge sources.

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Partial discharge detection in smart grid using software defined radio

Cited by 6 publications

References 17 publications

Use of Optimized Centroid and Weighted Centroid Algorithms to Locate a Partial Discharge Source by Using Received Signal Strength

Use of Optimized Centroid and Weighted Centroid Algorithms to Locate a Partial Discharge Source by Using Received Signal Strength

A Comparative study on Partial Discharge Emulators

A Supervisory System for Partial Discharge Monitoring

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