Design and Implementation of Partial Discharge Measurement Sensors for On-line Condition Assessment of Power Distribution System Components

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School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2014-10-29
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Date
2014
Department
Sähkötekniikan ja automaation laitos
Department of Electrical Engineering and Automation
Major/Subject
Mcode
Degree programme
Language
en
Pages
121 + app. 107
Series
Aalto University publication series DOCTORAL DISSERTATIONS, 152/2014
Abstract
Unplanned interruptions of power supply due to failure of critical components of the distribution network have considerable impact on the modern society. Efficient condition assessment can avoid the loss of critical components by early detection of incoming threats. One of the biggest shortcomings of today's progressing maintenance technology is the lack of low cost instrumentation solutions which are simple in implementation and easily applicable to the network. In this work partial discharge (PD) measurements have been considered for insulation condition assessment of distribution system components such as overhead covered conductors (CCs) and cables. A high frequency Rogowski coil induction sensor is designed for this purpose. An accurate electrical model of the sensor is necessary for efficient signal processing of the sensed signal and for reliable interpretation of the measured signal. A new method to determine the electrical parameters of Rogowski coil sensor is presented. In-depth analysis of the design stages of Rogowski coil is presented using experimental and simulated environment. Various geometrical designs of Rogowski coil are investigated to analyze the effects of geometrical parameters on high frequency performance of the coil. The guidelines presented regarding geometrical structure are useful when trading off the benefits for better mechanical and electrical design of such sensors. Location of the detected PD faults is an important task of the diagnostics system in power lines. The conventional techniques of locating PD faults have been known for a single section of a power line. However, these techniques are not suitable for power lines having multi-sections or for branched line networks. In this work, finding the location of PD fault on a power line is recognized as a two stage function; (i) identification of the faulty section, and (ii) location of fault point on the identified section. The direction of arrival (DOA) technique is introduced to identify faulty section whereas fault point location can be determined by conventional techniques. The technique is equally applicable for CC lines or cable networks. The DOA technique is integrated over a cable feeder and an on-line automated condition monitoring and diagnostic scheme is proposed. Low cost, non-intrusive installation and favorable operating features of Rogowski coil sensor make it suitable for development of an enhanced and automated diagnostic system which can easily be integrated into the distribution network.
Description
Supervising professor
Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering, Finland
Keywords
Distribution network, condition assessment, monitoring, diagnostics, partial discharge, induction sensor, ATP-EMTP, distribution automation
Other note
Parts
  • [Publication 1]: M. Shafiq, L. Kütt, G. A. Hussain, M.Lehtonen, “Online Condition Monitoring System for Medium Voltage Distribution Networks”, 14th International Symposium on Topical Problems in the Field of Electrical and Power Engineering”, Pärnu, Estonia, pp. 162-170, 13-18 January, 2014.
  • [Publication 2]: M. Shafiq, L. Kütt, M. Lehtonen, T. Nieminen and G. M. Hashmi, “Parameters Identification and Modeling of High Frequency Current Transducer for Partial Discharge Measurements”, IEEE Sensors Journal, Vol. 13, Issue 3, pp. 1081-1091, 2013.
    DOI: 10.1109/JSEN.2012.2227712 View at publisher
  • [Publication 3]: M. Shafiq, M. Lehtonen, L. Kütt, G. A. Hussain, M. Hashmi, “Effect of Terminating Resistance on High Frequency Behaviour of Rogowski Coil for Transient Measurements”, Journal of Electronics and Electrical Engineering (Elektronika Ir Elektrotechnika) Vol. 19, Issue. 8, pp. 22-28, 2013.
  • [Publication 4]: L. Kütt, M. Shafiq, M. Lehtonen, H. Mõlder, and Jaan Järvik, “Air-Core Sensors Operation Modes for Partial Discharge Detection and On-line Diagnostics in Medium Voltage Networks”, The Scientific Journal of Riga Technical University - Electrical, Control and Communication Engineering, Vol. 4, Issue 1, pp. 5-12, 2013.
  • [Publication 5]: M. Shafiq, G. A. Hussain, L. Kütt, M. Lehtonen, “Effect of Geometrical Parameters on High Frequency Performance of Rogowski Coil for Partial Discharge Measurements”, Measurement Journal Elsevier, Volume 49, pp. 126-137, 2014.
    DOI: 10.1016/j.measurement.2013.11.048 View at publisher
  • [Publication 6]: M. Shafiq, L. Kütt, M. Isa, M. Hashmi, M. Lehtonen, “Directional Calibration of Rogowski Coil for Localization of Partial Discharges in 8 Smart Distribution Networks”, International Review of Electrical Engineering (IREE), Vol. 7. No. 5, pp. 5881-5890, 2012.
  • [Publication 7]: M. Shafiq, M. Lehtonen, M. Isa L. Kütt, “Online Partial Discharge Diagnostics in Medium Voltage Branched Cable Networks”, IEEE International Conference on Power Engineering, Energy and Electrical Drives (POWERENG 2013), Istanbul, Turkey, pp. 246-251, 13-17 May, 2013.
    DOI: 10.1109/PowerEng.2013.6635614 View at publisher
  • [Publication 8]: M. Shafiq, L. Kütt, F. Mahmood, G. A. Hussain, M. Lehtonen, “An Improved Technique to Determine the Propagation Velocity of Medium Voltage Cables for PD Diagnostics”, IEEE International Conference on Environment and Electrical Engineering Wroclaw, Poland, 5-8 May, 2013.
    DOI: 10.1109/EEEIC.2013.6549574 View at publisher
  • [Publication 9]: M. Shafiq, G. A. Hussain, M. Lehtonen, P. Hyvönen, N. I. Elkalashy, “Integration of Online Proactive Diagnostic Scheme for Partial Discharges in Distribution Networks”, IEEE Transactions on Dielectrics and Electrical Insulation, submitted 7 June, 2013 accepted for publication on 1 July, 2014.
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Permanent link to this item
https://urn.fi/URN:ISBN:978-952-60-5893-1
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[diss] Sähkötekniikan korkeakoulu / ELEC