Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.694511
Title: Thermal prognostic condition monitoring for MV cable systems
Author: Christou, Stelios
ISNI:       0000 0004 5991 937X
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2016
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Abstract:
Large-scale investment in transmission and distribution power networks is planned over the next decades to meet the future demand and changes in power generation. Nevertheless, it is still of a great importance that the existing assets continue to operate reliably and their health is maintained. Moreover, the failures of distribution cables are extremely disruptive, costly to repair and have a serious impact on customer confidence. As a result, developing a reliable on-line prognostic tool is of a great importance. This research investigates a method of developing a prognostic capability for evaluation of the health and long term performance of aging distribution cable circuits. Developing such prognostic models will significantly improve the prognosis accuracy, allowing the targeting of maintenance and reduction of in-service failures. Real-time measurements taken close to underground cables can update the models giving a more accurate prognostic tool. The aging of the cable begins the moment it is installed and put in service due to a combination of mechanical, thermal, electrical and environmental factors. A thermal prognostic model is suggested. It enables prediction of the likely temperature impact on underground cable joints at the burial level and terminations according to weather conditions and known loading. Anomalies of temperature measurements along the cable compared to predicted temperatures will indicate the possible degradation activity in the cable. An experimental surface trough has been set up where operation of power cables was simulated with control system which is able to model any cable loading. The surface temperature of the cable is continuously monitored as well as the weather conditions such as solar radiation, wind speed, humidity, rainfall and air temperature. The research involved cooperation with University of Cyprus and the Electricity Authority of Cyprus which has given an opportunity to implement, install and study the performance of the condition monitoring thermal prognostic model in a distribution network with different environmental and loading conditions than found in the UK.
Supervisor: Lewin, Paul Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.694511  DOI: Not available
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