Knowledge Discovery from On-line Cable Condition Monitoring Systems - Insulation Degradation and Aging Diagnostics
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
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Organisations
- University of Strathclyde (Lead Research Organisation)
- Prysmian Cables and Systems Limited (Collaboration)
- EDF Energy (United Kingdom) (Collaboration, Project Partner)
- GLASGOW CALEDONIAN UNIVERSITY (Collaboration)
- Prysmian Group (United Kingdom) (Project Partner)
- Ipec (United Kingdom) (Project Partner)
People |
ORCID iD |
| Martin Judd (Principal Investigator) | |
| Wah Hoon Siew (Co-Investigator) |
Publications
Alistair James Reid (Co-Author)
(2011)
Defect location and characterisation in an EPR MV cable using TDOA and thermal techniques
Alistair James Reid (Co-Author)
(2011)
Comparison of partial discharge characteristics from insulation defects in 11kV EPR cable
Alistair Reid (Co-Author)
(2012)
Defect investigation in MV EPR cable
Hu X
(2019)
Modeling of High-Frequency Current Transformer Based Partial Discharge Detection in High-Voltage Cables
in IEEE Transactions on Power Delivery
Hu X
(2017)
Transfer function characterization for HFCTs used in partial discharge detection
in IEEE Transactions on Dielectrics and Electrical Insulation
Peng X
(2017)
Rough set theory applied to pattern recognition of Partial Discharge in noise affected cable data
in IEEE Transactions on Dielectrics and Electrical Insulation
Peng X
(2017)
SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics
in IEEE Transactions on Dielectrics and Electrical Insulation
Reid A
(2012)
Defect investigation in medium-voltage EPR cable
Reid A
(2013)
Fault location and diagnosis in a medium voltage EPR power cable
in IEEE Transactions on Dielectrics and Electrical Insulation
| Description | This project, carried out in collaboration with a complementary research team at Glasgow Caledonian University, developed our understanding of electrical discharges in the high voltage (HV) cables that are used in electricity distribution networks. Partial discharges (PD) within the insulation (usually at joints and terminations) erode material and are one of the more common causes of cable failure, which can lead to loss of supply and considerable inconvenience during repair. The research carried out involved measurement of the pulses of electrical current emanating from such defects in the early stages of their development. Since they can only be detected by sensors situated at the ends of cables (often hundreds of metres away), understanding how the pulses propagate and become distorted due to the cable material properties is important for implementing effective diagnostic techniques. Advanced high-frequency electromagnetic modelling software was applied to simulate propagation through the cable once the cable materials had been properly characterised. This model implemented the local excitation of a propagating pulse in the cable, and was combined with the propagation equations for long distances (based on measurements of cable samples) and the measured response of sensors (current transformers). By this means, the process has been fully modelled in a way that allows for better interpretation of the remotely measured signals to relate them to the severity of defects in the cable. Sections of defective 11 kV cable removed from service by an industrial partner were subjected to extensive forensic evaluation, and used to validate several forms of defect identification. Time-of-flight and thermal imaging techniques were used to locate the defects, after which computer aided X-ray tomography and scanning electron microscopy were applied to characterise the defect and identify manufacturing errors in the insulation system. Artificial defects created in a section of EPR cable allowed PD signals to be measured, characterised and added to a library for analysis using the newly developed classification algorithm. Two algorithms for knowledge discovery (Rough Set and Kohonen mapping) were evaluated and the Rough Set method was found to be superior in terms of its ability to interrogate and learn from existing databases, analyse PD activity from on-line monitoring systems, with the ability to evolve continuously and produce knowledge rules on the level of degradation. A novel (K-means) method was applied for automating recognition of PD patterns recorded under conditions in which a phase-reference voltage waveform from the HV conductors is not available. The method has proven particularly useful as it is capable of recognising patterns of PD activity in on-line monitoring applications for both single- and three-phase cables and is also effective for rejecting PD-like interference signals. A new, portable cable PD monitoring system was developed and has been applied to in-service cable PD tests at 4 large power stations. An insulation defect localisation algorithm, based on pulse rise time degradation with distance, was also developed from experiments and the on-site measurement campaign. This allows the system developed to provide an indication of the source and origin of PD. |
| Exploitation Route | Better diagnostic interpretation of partial discharge pulse signals measured at the ends of high voltage cables to assess the severity of insulation defects that may be some considerable distance away. |
| Sectors | Energy |
| Description | Joint research with Glasgow Caledonian University |
| Organisation | Glasgow Caledonian University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | University of Strathclyde researchers worked on this project with researchers from Glasgow Caledonian University |
| Start Year | 2009 |
| Description | Project partnership with EDF Energy Networks ltd |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | EDF Energy Networks ltd worked with the research team and assisted/contributed to the project outcomes |
| Start Year | 2009 |
| Description | Project partnership with Prysmian Cables and Systems Limited |
| Organisation | Prysmian Cables and Systems Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Prysmian Cables and Systems Limited worked with the research team and assisted/contributed to the project outcomes |
| Start Year | 2009 |