Partial Discharges and their utilisation in the prediction of

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					 IEE Cyprus                       University of Cyprus                                     IEEE Cyprus
   Branch             Dept. of Electrical & Computer Engineering                             Section


                                           SEMINAR

   Partial Discharges and their utilisation in the
      prediction of faults in Power Systems
                               Dr. George E. Georghiou
                     Wednesday, 24th November 2004 – 5:00-6:00 pm
                       University of Cyprus, E213 Lecture Room

Abstract: Ensuring a reliable and uninterrupted operation of transmission and distribution equipment
poses a key challenge in the area of monitoring and maintenance of power engineering systems.
Indeed, monitoring the condition of high voltage (HV) systems and cable networks is becoming
increasingly important as ‘production needs’ demand less downtime, higher output from machinery
and cables, as well as reduced maintenance and repair costs. Moreover, with unscheduled shutdown of
equipment, additional costs are often incurred, which are subsequently found to be way above the cost
of the repairs deemed necessary. In order to avoid unexpected downtime, therefore, and hence
improve reliability, a satisfactory method of anticipating failure of key components is required. In
determining system reliability, the role of Partial Discharges (PD) is paramount, as they are a serious
degradation stress mechanism, the precursor of insulation failure. PD is evident inside HV assets as a
result of such defects as insulation impurities or ageing due to thermal, mechanical and electrical
stresses. PD testing, therefore, provides excellent information on the integrity of an electrical system,
as a high percentage of failures are associated with them. Hence, one of the most useful diagnostic
tools for quality assurance during the design, manufacture and life assessment of electrical equipment
is PD detection. By understanding and investigating further the activities of PD occurring in voids or
imperfections within the insulation, it is possible to assess the ageing of insulation materials and detect
other such imperfections. The role and fundamental aspects of PD in on-line condition monitoring are
presented. A better understanding of such processes together with improved noise reduction
techniques, will enable the design of improved condition monitoring systems. Finally, some of the
latest results emanating from our research are also presented.

About the Speaker: George Georghiou is currently a Visiting Assistant Professor at the Department
of Electrical and Computer Engineering, University of Cyprus. He is the undergraduate course leader
in Electrical Engineering at the University of Southampton, Department of Electronics and Computer
Science and a Research Advisor for the Electricity Utilization, University of Cambridge. Having
graduated from the University of Cambridge with a BA (1995), MEng (1996), MA (1997) all with
distinction and PhD (1999), Dr Georghiou continued his work at the University of Cambridge in the
capacity of a Fellow at Emmanuel College for a further three years (1999-2002). His research interests
lie predominantly in the areas of electromagnetics and plasma physics for food processing,
environmental, biomedical applications, BioMEMS, Nanotechnology and power systems, with a
special interest in the development of numerical algorithms (both serial and parallel codes) applied to
the characterization of multiphysics problems, such as DNA sequencing, lightning and gas discharges.
Amongst his many scholarly achievements, Dr Georghiou was awarded the outstanding paper award
by the Journal of Microwave Power and Electromagnetic Energy in 1999 for the most significant
technical scientific contribution. More recently, two of his papers were rated very highly in a content
review undertaken by the Journal of Physics D Applied Physics.

                For additional information: Tel: 22-892251, Email: ece@ucy.ac.cy
For a list of seminars visit the course website: http://www.eng.ucy.ac.cy/cpitris/courses/ECE701/