On-line partial discharge applications to MV electrical switchgear

Golubev, A.; Blokhintsev, I.; Paoletti, G.J.; Modrowski, J.

doi:10.1109/eeic.2001.965615

Cited by 9 publications

(4 citation statements)

References 1 publication

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“…Authors have experience in calibration of PD sensors and investigation of PD pulse propagation features in switchgear lines in field and on a manufacturer test floor [1,2,3]. Propagation pattern in switchgear line is much simpler compared to PD pulse propagation in rotating machine windings [4].…”

Section: Calibration Of Pd Sensorsmentioning

confidence: 99%

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Blokhintsev

Patterson²,

Cassidy

et al. 2009

2009 IEEE Electrical Insulation Conference

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On-Line Continuous Partial Discharge measurements of medium voltage substations have not attracted the same attention in the electrical community as compared to similar PD measurements of rotating machines. The cost of an unexpected outage however may be considerably more significant of a main distribution bus than just for a single motor failure. This paper discusses pros and cons of PD measurements using multiple sensors for additional noise reduction and localizing PD activity for measurements made in higher frequency bands. The importance of continuous PD monitoring vs. periodic walk in PD measurements of switchgear is also discussed considering that PD activity in switchgear can have very unstable activity highly dependent on ambient conditions. Negative periodic PD tests in switchgear can result in a false sense of security. Case studies from field experience are presented to support the discussions.

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Section: Calibration Of Pd Sensorsmentioning

confidence: 99%

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Blokhintsev

Patterson²,

Cassidy

et al. 2009

2009 IEEE Electrical Insulation Conference

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“…Advantages of condition based monitoring include money saving by avoiding unnecessary action / procedures for healthy equipment and equipment failure can be prevented which will insure security of supply and increase reliability. Presently condition based monitoring procedures require taking equipment out of service to perform PD detection which is highly inefficient so the need for online condition monitoring is undeniable [6] [7].…”

Section: Partial Discharge With Condition Monitoringmentioning

confidence: 99%

“…If these input arguments are given to the algorithm then all the points which are density reachable from the given point can be calculated. However the estimation of Eps and MinPts is a hurdle itself, they can be determined through a heuristic of the thinnest cluster in the database [7] [12]. DBSCAN forms clusters of data and each cluster is identified by a unique class.…”

Section: Partial Discharge With Condition Monitoringmentioning

confidence: 99%

Wavelet energy distribution with PCA & DBSCAN for partial discharge pulse extraction

Mokhlis

Habib

Kamran

2014

17th IEEE International Multi Topic Conference 2014

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Condition monitoring based on partial discharge diagnostics has seen a very rapid increase of interest from high voltage industry. Condition monitoring is an asset monitoring tool that can inform the user of real time health of their high voltage equipment / plant, which has now become a necessity in ageing networks that still have equipment in operation that has fulfilled its rated life. Partial discharge pulse detection and extraction is the first step of condition monitoring. This research is focused on assessing the capability of wavelet energy distribution for pulse extraction with the help of principle component analysis (PCA) and density based spatial clustering algorithm (DBSCAN). One problem that every pulse extraction method faces is that their efficiency is highly affected when a signal with high noise is processed through them. This research will also assess the robustness of the aforementioned procedure on signals with different signal to noise ratio by comparing results of each signal.Moreover, this procedure will also be vetted on its level of intrusiveness to see if it can be used for online condition monitoring.

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“…The authors have experience in calibration of PD sensors and investigation of PD pulse propagation features in switchgear lineups both in the field and on a manufacturer's test floor [1,2,3]. Propagation patterns in a switchgear lineup are much simpler than PD pulse propagation in rotating machine windings [4].…”

Section: Calibration Of Pd Sensorsmentioning

confidence: 99%

Continuous on-line partial discharge monitoring of medium voltage substations

Benzing¹,

Patterson²,

Cassidy

et al. 2012

2012 IEEE-IAS/PCA 54th Cement Industry Technical Conference

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On-Line Continuous Partial Discharge (PD) measurements of medium voltage substations are an excellent way to determine the overall health of the equipment. Partial discharge measurements can provide maintenance alerts to allow scheduling of equipment outages based on actual condition data as opposed to scheduling based on time intervals. PD measurements provide information about the insulation system that is impossible to extract with other methods. Remote monitoring adds additional value to continuous monitoring by relieving customers of the burden of data analysis, readily involving remote experts. This paper discusses the effectiveness of PD measurements using multiple sensors. Multiple sensors provide additional noise reduction and the ability to localize PD activity for measurements made in higher frequency bands. The importance of continuous PD monitoring vs. periodic walk in PD measurements for switchgear is also discussed. PD activity in switchgear can be unstable and dependent on ambient conditions. Negative periodic PD tests in switchgear can result in a false sense of security. Case studies from field experience are presented to support the discussions. INTRODUCTIONOn-line Partial Discharge measurements in industrial environments face three major problems: high noise in the low frequency range, signal attenuation in the high frequency range and significant variation in PD activity over time. A measurement system operating within the 1-20 MHz range with multiple PD sensors distributed throughout the equipment can limit the PD attenuation problem while providing the location of the PD activity. Microprocessor-based signal processing can significantly reduce the background noise. PD sensors include Coupling Capacitors (CC) and Radio Frequency Current Transformers (RFCT). These sensors are used in switchgear line-ups and dry type transformers. Continuous monitoring, compared to infrequent periodic testing, assures that variable PD activity is captured and its correlation to operating parameters such as temperature, humidity, and system voltage is established. Adding remote communication capability to the continuous monitoring system opens the possibility for Remote Monitoring (RM), featuring automatic alarms, remote data access/storage, and instant analysis by PD experts without bringing experts on site. NOISE AND ATTENUATION ISSUESIndustrial noise typically originates from radio communication systems, thyristors firing in exciters and rectifiers, digital metering systems and electronic transducers. Radio noise is typically found in 0.8-1 MHz range and can be avoided by signal acquisition in a higher frequency range. Thyristor firing commonly has pulse widths wider than PD pulses and can be rejected by microprocessor-based signal processing. Rejecting "digital noise" is the most difficult. This problem is resolved by designing "noise immune" sensors. Coupling capacitors directly connected to HV conductors are not susceptible to low frequency noise and "digital noise" commonly does not exist in HV circuits....

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On-line partial discharge applications to MV electrical switchgear

Cited by 9 publications

References 1 publication

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Wavelet energy distribution with PCA & DBSCAN for partial discharge pulse extraction

Continuous on-line partial discharge monitoring of medium voltage substations

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On-line partial discharge applications to MV electrical switchgear

Cited by 9 publications

References 1 publication

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Advantage of On-Line Partial Discharge continuous monitoring of medium voltage substation

Wavelet energy distribution with PCA &amp; DBSCAN for partial discharge pulse extraction

Continuous on-line partial discharge monitoring of medium voltage substations

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Product

Resources

About

Wavelet energy distribution with PCA & DBSCAN for partial discharge pulse extraction