Combined on-line Transformer Monitoring

Completed

Other Power and Storage Technologies(Electricity transmission and distribution)

Applied Research and Development

ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)

Not Cross-cutting

Project Contact
Electricity North West Limited

Network Innovation Allowance

Ofgem

01 September 2014

01 September 2016

ENA months

£650,000

Power

North West

Project Contact, Electricity North West Limited

It is intended to use the online PD, DGA and acoustic monitoring techniques to monitor the condition of six 132kV transformers that have had their usable life extended by oil regeneration and refurbishment. This data will allow us to develop our understanding of the effects of life extension of failure mode and maintenance requirements of assets. The monitoring suit will be moved to other refurbished units to improve data validation and assess their conditions. To fully realise the benefits of this project we will work closely with the our academic partners University of Manchester and Liverpool University as well as our technology partner Camlin Power to analyse the data from condition monitoring suite to develop a more advanced transformer monitoring tools than currently exist.

As part of operating an efficient network operators need to maximize the use of existing assets by extending the asset life whilst maintaining system reliability and operator safety.Electricity North West intends to trial new advanced on-line transformer monitoring solutions developed by Camlin Power consisting of a dissolved gas analysis unit combined with a partial discharge monitoring unit to make up a new suite of combined on-line monitoring tools. The project will also include the trial of Acoustic monitoring technique of the tap changers which has been developed through IFI funding through Liverpool University.It is intended to monitor the condition of six 132kV transmission transformers that have had their usable life extended by oil regeneration and refurbishment. The units will be moved to other refurbished transformer to improve data validation and assess their conditions.It is expected that we will be able to more accurately asses transformer health indicess with collaboration with The University of Manchester and Liverpool University on data analysis. We will be able to diagnose issues as they arise, prolong the usable life of the transformers and improve operator safety by early detection and raising alarms of deterioration.

15/12/22