Online condition monitoring of MV cable feeders using Rogowski coil sensors for PD measurements

Abstract Condition monitoring is a highly effective prognostic tool for incipient insulation degradation to avoid sudden failures of electrical components and to keep the power network in operation. Improved operational performance of the sensors and effective measurement techniques could enable the development of a robust monitoring system. This paper addresses two main aspects of condition monitoring: an enhanced design of an induction sensor that has the capability of measuring partial discharge (PD) signals emerging simultaneously from medium voltage cables and transformers, and an integrated monitoring system that enables the monitoring of a wider part of the cable feeder. Having described the conventional practices along with the authors’ own experiences and research on non-intrusive solutions, this paper proposes an optimum design of a Rogowski coil that can measure the PD signals from medium voltage cables, its accessories, and the distribution transformers. The proposed PD monitoring scheme is implemented using the directional sensitivity capability of Rogowski coils and a suitable sensor installation scheme that leads to the development of an integrated monitoring model for the components of a MV cable feeder. Furthermore, the paper presents forethought regarding huge amount of PD data from various sensors using a simplified and practical approach. In the perspective of today’s changing grid, the presented idea of integrated monitoring practices provide a concept towards automated condition monitoring.

[1]  Sami Repo,et al.  The IDE4L Project: Defining, Designing, and Demonstrating the Ideal Grid for All , 2017, IEEE Power and Energy Magazine.

[2]  Chien-Kuo Chang,et al.  The Use of Partial Discharges as an Online Monitoring System for Underground Cable Joints , 2011, IEEE Transactions on Power Delivery.

[3]  Hui Ma,et al.  An Updated Model to Determine the Life Remaining of Transformer Insulation , 2015, IEEE Transactions on Power Delivery.

[4]  E. Gulski,et al.  Comparison of conventional and VHF partial discharge detection methods for power transformers , 1999 .

[5]  C. Zappacosta,et al.  Designing and tuning an air-cored current transformer for partial discharges pulses measurements , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[6]  Marta Ruiz-Llata,et al.  Identification of multiple partial discharge sources using acoustic emission technique and blind source separation , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[7]  Antonio Torralba,et al.  Time domain analysis of partial discharges envelope in medium voltage XLPE cables , 2015 .

[8]  S. Tenbohlen,et al.  Attenuation of UHF signals regarding the sensitivity verification for UHF PD measurements on power transformers , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[9]  D. Couderc,et al.  Gas-in-oil criteria for the monitoring of self-contained oil-filled power cables , 1996, Proceedings of Conference on Electrical Insulation and Dielectric Phenomena - CEIDP '96.

[10]  Lee Renforth,et al.  Deployment of distribution on-line partial discharge monitoring devices on medium voltage electricity networks , 2009 .

[11]  P Paul Wagenaars,et al.  Integration of online partial discharge monitoring and defect location in medium-voltage cable networks , 2010 .

[12]  A. Golubev,et al.  Advantages of continuous monitoring of partial discharges in rotating equipment and switchgear , 2003, Conference Record of the 2003 Annual Pulp and Paper Industry Technical Conference, 2003..

[13]  M. Lehtonen,et al.  Parameters Identification and Modeling of High-Frequency Current Transducer for Partial Discharge Measurements , 2013, IEEE Sensors Journal.

[14]  H. Edin,et al.  Partial discharges in a cavity embedded in oil-impregnated paper: effect of electrical and thermal aging , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[15]  Asghar Akbari,et al.  Partial discharge localization in transformer windings using multi-conductor transmission line model , 2008 .

[16]  Valeriy Vyatkin,et al.  Distributed Power System Automation With IEC 61850, IEC 61499, and Intelligent Control , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[17]  R. Schwarz,et al.  Modern technologies in optical partial discharge detection , 2007, 2007 Annual Report - Conference on Electrical Insulation and Dielectric Phenomena.

[18]  Marco Tozzi.  Partial discharge in power distribution electrical systems: pulse propagation models and detection optimization , 2010 .

[19]  Hazlee Azil Illias,et al.  Partial Discharge Localization in Power Transformers Using Neuro-Fuzzy Technique , 2014, IEEE Transactions on Power Delivery.

[20]  Nagy I. Elkalashy,et al.  Partial discharge diagnostic system for smart distribution networks using directionally calibrated induction sensors , 2015 .

[21]  Hui Ma,et al.  Time-frequency sparsity map on automatic partial discharge sources separation for power transformer condition assessment , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[22]  I. J. Kemp,et al.  Degradation of epoxy resin by partial discharges , 2000 .

[23]  J. Rubio-Serrano,et al.  Electro-acoustic detection, identification and location of partial discharge sources in oil-paper insulation systems , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[24]  M. Muhr,et al.  Aging behaviour of cross-linked polyethylene (XLPE) as an insulating material for high (HV)- and extra-high voltage cables (EHV) , 2004, The 17th Annual Meeting of the IEEE Lasers and Electro-Optics Society, 2004. LEOS 2004..

[25]  M.D. Judd.  Radiometric partial discharge detection , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[26]  Nikos D. Hatziargyriou,et al.  A review of power distribution planning in the modern power systems era: Models, methods and future research , 2015 .

[27]  G.C. Stone,et al.  Partial discharge diagnostics and electrical equipment insulation condition assessment , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.

[28]  Stefan Tenbohlen,et al.  Application of UHF sensors for PD measurement at power transformers , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.

[29]  Alun S. Vaughan,et al.  Effect of aging on the physical, chemical and dielectric properties of dodecylbenzene cable oil , 2016, 2016 IEEE International Conference on Dielectrics (ICD).

[30]  Bin Liu,et al.  An Improved Directional Sensor for On-line Partial Discharge Measurement in Overhead Covered Conductors , 2016 .

[31]  S. Okabe,et al.  Cross-equipment Evaluation of Partial Discharge Measurement and Diagnosis Techniques in Electric Power Apparatus for Transmission and Distribution , 2008, IEEE Transactions on Dielectrics and Electrical Insulation.

[32]  Chengke Zhou,et al.  Partial discharge pulse propagation in power cable and partial discharge monitoring system , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[33]  Matti Lehtonen,et al.  Directional Calibration of Rogowski Coil for Localization of Partial Discharges in Smart Distribution Networks , 2012 .

[34]  Davide Fabiani,et al.  Why residual life estimation and maintenance strategies for electrical insulation systems have to rely upon condition monitoring , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[35]  M. M. Yaacob,et al.  Review on partial discharge detection techniques related to high voltage power equipment using different sensors , 2014 .

[36]  P. Kundu,et al.  Simulation and Analysis of Acoustic Wave Propagation due to Partial Discharge Activity , 2006, 2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena.