Tutorial 1 (Full day) : Smart Condition Monitoring of Power Cables with Case Studies
Electrical utilities are facing a nerve-racking problem: the continuous increase of aged electrical plant population. The breakdown of a power cable or its accessories may prove expensive for utilities and their customers. It is therefore vital to assess the condition of power cables and apply advanced techniques to reduce the failure rate. Based on the instructor’s book “Condition Assessment of High Voltage Insulation (IET Press 2008)” and the Editorial “Smart Condition Monitoring (IEEE EIM Sept/Oct 2013)”, the course is designed to provide a thorough coverage of up-to-date technology on insulation condition monitoring and incipient fault diagnosis of power cables. Focus will also be put on modern maintenance strategies and case studies which will be beneficial for power industry.
Module 1 – Introduction
- Insulation materials utilized in power cables
- Cable structure and insulation design
- Electric stress distribution and stress control
Module 2 – Advanced condition monitoring techniques for power cables
- On-line and off-line partial discharge detection techniques
- VLF and OWTS tests with PD mapping
- Distributed temperature sensing
- On-line remote oil pressure monitoring
- DGA for oil cables
- Smart condition monitoring
Module 3 – Case studies
- A new test and management strategy for distribution cables which reduced the failure rate to one third.
- The failure of a 66kV cable was due to the damage of a sinking earthing rod 5 years ago. Why insulation tests over this period could not detect the defect?
- Failures of two 230 kV cable joints due to poor workmanship.
- A new 230 kV cable terminal failed after commission for only 10 days. What is the root cause of the failure? How to prevent such failures?
- The causes and mitigation techniques for hot spots in two 230 kV cable circuits.
- The failures of three 230 kV cables due to a design problem – lessons learnt.
Prof. Charles Su received his MEng in 1981 and PhD in 1990 (UNSW, Australia). He was a tests and operations engineer from 71-78, an honorary research associate at the University of Western Australia in 85 and a lecturer at the University of New South Wales from 90-91. From 1992-2002, he was with Monash University working as an associate professor and the head of High Voltage and Insulation Condition Monitoring Group. In 2002, he took up the chief technologist position at a large utility. From 2007 to 2011, he was a professor and chair of Research Committee at the Petroleum Institute in UAE. He was a guest professor at Beijing Electrical Power University in 2012 and a guest professor at Wuhan University in 2013. He was also an adjunct professor at Monash University, Australia. Currently, he is with Newcastle University, UK.
Prof. Su has published two books and over 180 journal and conference papers. He received the Vice-Chancellor’s Special Commendation for Teaching Excellence at Monash University in 2001 and an IEEE Standards Award for his contributions to the Guide on Partial Discharges in Rotating Machines in 2002. His research projects were funded by Australia government and industry for more than $2m. He has provided consulting services to many utilities in the world and conducted a number of training courses for the industry in Australia, Singapore, UAE, China, Malaysia, Taiwan, Hong Kong and Indonesia. He is a Fellow of IET (former IEE) and a Senior Member of IEEE since 1991.
Tutorial 2 (Half Day): Load Modelling for Modern and Sustainable Grid
Load modelling remains a challenging topic for the industry. Having proper load models is essential for system analysis and planning. With the rapid changes including new appliances and renewable energy based distributed generation, many existing load models need to be updated to ensure accuracy in system analysis. This course will provide you with the knowledge and practical skills to perform load modelling work. The program includes demonstration sessions and case studies.
This course will provide you with the tools to:
- Understand the principles and potential impacts on load models on your network
- Understand new issues in load modelling
- Increase the reliability of your network
- Better manage your existing transmission and distribution assets
- Load model structure
- Static and dynamic load models
- Load modelling approaches
- Measurement based load modelling
- Model parameter identification and ranges
- Load modelling impact on system stability and implications for planning and operations
- Issues on load modelling
- Load modelling in a smart grid environment
Professor Z.Y. (Joe) Dong is Head of School of Electrical and Information Engineering, the University of Sydney, and a contractor with Ausgrid and EPRI, USA. He is now a member of the ARC College of Experts. Prior to joining the University of Sydney in 2013, he was Ausgrid Chair and Director of Ausgrid Centre of Excellence for Intelligent Electricity Networks (CIEN) at the University of Newcastle, Australia. He has also worked for Hong Kong Polytechnic University and as system planning manager with Transend Networks, Australia. Professor Dong’s research interest includes power system planning and stability, smart grid, load modeling, renewable energy, electricity market, and computational methods. He is an editor of IEEE Transactions on Smart Grid , IEEE PES Letters, IET Renewable Power Generation, and Journal of Modern Power Systems and Clean Energy. He is an international Advisor for the lead Chinese journal of Automation of Electric Power Systems. He also serves as guest editor for International Journal of Systems Science.
Tutorial 3 (Half Day): Sustainable Energy Systems – Management of Power Quality for their Successful Integration
The half day tutorial will cover the essential power quality emission and immunity behaviour of sustainable energy generation technologies. The Australian and International standards that cover the power quality behaviour of these systems will be covered to some depth. Potential new power quality problems that could arise as a result of these technologies will be covered together with the state-of-art knowledge in the area including new research directions. The importance of power quality monitoring, data summarisation and compliance will also receive substantial treatment in this tutorial.
Associate Professor Philip Ciufo graduated from the University of Wollongong with a B.E. (Hons) in Electrical Engineering in 1990 whilst also completing an Industry Cadetship. In 1991, he joined the University as a Research Associate to work on several projects as well as to provide engineering support to many of the research programs within the School of Electrical Computer and Telecommunications Engineering. He later joined the academic staff of the University after completing a Ph.D. in 2002. He has held a variety of positions in industry as an electrical engineer, gaining extensive experience across a wide range of subdisciplines. He returned to academia in late 2007 to take up a position in the Australian Power Quality and Reliability Centre.
Mr Sean Elphick graduated from the University of Wollongong with a BE(Elec) (Hons) degree in 2002 after completing thesis projects in the area of power quality. In 2003 he joined the then Integral Energy Power Quality Centre to work on the Strategic Partnerships with Industry – Research and Training Scheme (SPIRT) project. The aim of the SPIRT project was to develop cost-effective methods for monitoring large power systems, including a specification for monitoring instruments, their number and location, methods of data compression, automatic recognition of the types of disturbances and characterisation by useful power quality indices. He is currently the Research Coordinator of the Australian Power Quality and Reliability Centre. His work often involves undertaking power quality surveys and preparing reports. He is heavily involved in the production of the National Long Term Power Quality Survey, a power quality survey involving most electricity distributors in the eastern states. His interests lie in power quality monitoring methodology, instrumentation and power quality standards.