Partial discharge diagnostic system for smart distribution networks using directionally calibrated induction sensors

Abstract Asset management and optimization is becoming increasingly adaptable for distribution utilities with the help of developments in the digital and wireless technology. Medium voltage cables, cable accessories (joints and terminations) and distribution transformers are most prone to the insulation defects. This paper presents an online partial discharge (PD) diagnostic system to detect and locate the weak insulation spots developed in the network components spread over the distribution area. The PD pulses originating and propagating from the defect site arrive at feeder joints, terminals and T-splices and are reflected from there. This makes the interpretation of the measured signals ambiguous in order to find the location of PD faults, while using conventional location techniques. An improved technique is introduced to monitor multi-section multi-branched cable network. Identification of the faulty location is carried out by using direction of arrival (DOA) of PD signals. The DOA of PD signals is obtained by using directionally calibrated Rogowski coil induction sensors. Polarity of captured PD signals with reference to supply voltage, determines their DOA. Rogowski coil along with its directional sensing feature is simulated in ATP-EMTP. The DOA technique is integrated over a medium voltage (MV) cable network and its performance is evaluated using ATP-EMTP environment. Frequency-dependent JMarti cable model is used for simulation. An intelligent algorithm is proposed for practical implementation of DOA technique for PD monitoring and automated location. Proposed scheme can be adopted in distribution automation system to improve proactive diagnostic capabilities of the network.

[1]  J.D. van Wyk,et al.  An overview of integratable current sensor technologies , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[2]  Deng-Ming Xiao,et al.  Noise-based wavelet denoising technique for partial discharge measurement , 2008 .

[3]  Daniel S. Hirschberg,et al.  Data compression , 1987, CSUR.

[4]  R. Eriksson,et al.  SURVEY OF CAUSES OF FAILURES BASED ON STATISTICS AND PRACTICE FOR IMPROVEMENTS OF PREVENTIVE MAINTENANCE PLANS , 2002 .

[5]  Jose R. Marti Accuarte Modelling of Frequency-Dependent Transmission Lines in Electromagnetic Transient Simulations , 1982 .

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

[7]  Matti Lehtonen,et al.  Modeling On-line Three-phase PD Monitoring System for MV Overhead Covered-Conductors , 2009 .

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

[9]  B. Sanderford Wireless sensor networks - battery operation of link and sensor , 2002, 2nd ISA/IEEE Sensors for Industry Conference,.

[10]  L. Satish,et al.  Wavelet-based denoising of partial discharge signals buried in excessive noise and interference , 2003 .

[11]  M. Lehtonen,et al.  An improved technique to determine the wave propagation velocity of medium voltage cables for PD diagnostics , 2013, 2013 12th International Conference on Environment and Electrical Engineering.

[12]  M. Lehtonen,et al.  Online partial discharge diagnostics in medium voltage branched cable networks , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

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

[14]  S.A. Boggs,et al.  Partial Discharge Pulse Propagation in Shielded Power Cable and Implications for Detection Sensitivity , 2007, IEEE Electrical Insulation Magazine.

[15]  Matti Lehtonen,et al.  Effect of Terminating Resistance on High Frequency Behaviour of Rogowski Coil for Transient Measurements , 2013 .

[16]  Michael A. Omidiora Modeling and Experimental Investigation of Lightning Arcs and Overvoltages for Medium Voltage Distribution Lines , 2011 .

[17]  Muzamir Isa Partial Discharge Location Technique for Covered-Conductor Overhead Distribution Lines , 2013 .

[18]  Tossaporn Srisooksai,et al.  Practical data compression in wireless sensor networks: A survey , 2012, J. Netw. Comput. Appl..

[19]  A. Golubev,et al.  Field results of monitoring partial discharges on in-service large power transformers , 2010, 2010 IEEE International Symposium on Electrical Insulation.

[20]  Matti Lehtonen,et al.  Comparative study of on-line three phase PD monitoring systems for overhead covered conductor distribution lines , 2009, 2009 44th International Universities Power Engineering Conference (UPEC).

[21]  Asima Sabat,et al.  Simulation of Partial Discharge in High Voltage Power Equipment , 2011 .

[22]  C. Mazzetti,et al.  Partial discharge pattern recognition by neuro-fuzzy networks in heat-shrinkable joints and terminations of XLPE insulated distribution cables , 2006, IEEE Transactions on Power Delivery.

[23]  H. L. Willis,et al.  Assessing the reliability of distribution systems , 2001 .

[24]  G. Scheible,et al.  Novel wireless power supply system for wireless communication devices in industrial automation systems , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[25]  Alice N. Cheeran,et al.  Partial discharge analysis using energy patterns , 2013 .

[26]  Robert B. Northrop,et al.  Location and characterization of partial discharge sites in shielded power cables , 1990 .

[27]  S.A. Boggs,et al.  Effect of Dispersion on PD Pulse Propagation in Shielded Power Cable , 2008, 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena.

[28]  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).

[29]  T. Endoh,et al.  Development of a method of partial discharge detection in extra-high voltage cross-linked polyethylene insulated cable lines , 1992 .

[30]  M. Lehtonen,et al.  A wireless sensor concept for managing electrical distribution networks , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

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

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

[33]  B. T. Phung,et al.  Smart Sensors and Online Condition Monitoring of High Voltage Cables for the Smart Grid , 2010 .

[34]  S. Bahadoorsingh,et al.  A Framework Linking Knowledge of Insulation Aging to Asset Management - [Feature Article] , 2008, IEEE Electrical Insulation Magazine.

[35]  Y. Pei,et al.  Research on PD Signals Denoising Based on EMD Method , 2012 .

[36]  I. Cotton,et al.  Dissolved gas analysis of alternative fluids for power transformers , 2007, IEEE Electrical Insulation Magazine.

[37]  M. Lehtonen,et al.  Signal processing of PD measurements to predict arcing faults in MV switchgears , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[38]  T. Brooks Wireless technology for industrial sensor and control networks , 2001, SIcon/01. Sensors for Industry Conference. Proceedings of the First ISA/IEEE. Sensors for Industry Conference (Cat. No.01EX459).