Nov 2012
Electricity Transmission
Partial discharge monitoring of DC cable (DCPD)
NIA_NGET0073
Complete
Nov 2012
Feb 2014
National Grid Electricity Transmission
Greg Tzemis
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Network Innovation Allowance
None
Conductors
£150,000.00
Recent work at Southampton on PD from AC cable systems indicates that clustering algorithms can be used to distinguish between PD from different sources. It appears feasible to use this technique during DC testing to distinguish between PD from the cable and that from the terminations or external noise sources. The technique relies on analysing the PD signals to measure the energy content in a number of time and frequency windows. The multi-dimensional results are converted to a pseudo 3-dimensional data set for easier visualisation and automatic classification.

In addition to developing a procedure to detect and classify DC PD signals the work will emphasise the need for the technique to be suitable for implementation during DC cable type tests. This requires that PD testing can be done safely in an industrial laboratory without impacting on the smooth running of the type test.

The objective of this project is to investigate and develop a method for monitoring partial discharge (PD) activity in mass impregnated (MI) HVDC cable. The outputs will enhance National Grid’s understanding of high power HVDC cable and facilitate the development of improved Technical Specifications. The test method developed should be sufficiently effective and efficient to allow its deployment within the constraints of a commercial Type Test programme. 

This project is successful if knowledge is established on which we can base test procedures on, ahead of HVDC cable installation.