Rastko Zivanovic (
Senior Lecturer / The
Professional Interests
Applications of: Digital Signal Processing,
Control Systems, Dynamical Systems, Intelligent Systems and Soft Computing,
Scientific Computing, and Modern Statistics
Current postgraduate
students
1. Hoong
Ooi, PhD topic: Sensitivity Analysis of Transmission
Line Fault Location
A fault location result is influenced by a series
of modelling equations,
signal processing hardware & software, setting parameters and system
factors reflected in voltage and current inputs. All these factors are subject
to many sources of uncertainty including measurement and signal processing
errors, setting errors, as well as absence of information and incomplete
modelling of a system under fault condition. This imposes a limit on our
confidence in the fault location result. A complete practical fault location
tool has to provide an estimate of the confidence in the result, possibly assessing
the uncertainties associated with the influencing factors. In this research we
apply a novel global sensitivity analysis technique to determine factors that
mostly contribute to the fault locator output variability. Interactions between
factors can be also determined, as well as regions in the space of input
factors for which the result variation is maximum. In practice, such analysis
can help in selecting the optimal fault locator for a specific application and
also can help in the calibration process.
2. Mustarum
Musaruddin, PhD topic: Automated Fault Analysis in
Power Systems via Application Service Provider
The analysis of faults and disturbances was in
the past, and will also be in the future, a fundamental foundation for a secure
and reliable electrical power supply. The introduction of the digital recording
technology opened new dimension in quantity and quality to the fault and
disturbance data acquisition. Today the challenge is to automatically convert
data to knowledge, which frees the manpower to implement corrective or
preventive action. The automated analysis system proposed to be developed in
the scope of this PhD project would perform the mathematical analysis of all
(presently known) patterns of incorrect behaviour (disturbances and faults)
automatically and only short message would be issued for the controllers
(operating personnel) summarizing the required information and knowledge
regarding the faults and the corrective measures. The automated analysis system
will be available for use via the application service provider technology over
the Internet as part of the project.
3. Hui-Min Tan, PhD
topic: Transient Stability Sensitivity Analysis
Transient
stability assessment and control is more difficult in current deregulated
environment than before. This is due to the frequently changing generation/load
patterns and network topology during normal power system operations.
Competitive market, load increase and limited transmission capacity keeps the
power system closer to the security margin. Disturbances may put the system
into an emergency state, resulting in cascading outages and possible system
collapse if there are no fast and appropriate stability controls in action.
This research work will investigate some improvements of the conventional
off-line time-domain transient stability tools used to define stability control
schemes for real-time operation. In the first phase the research will focus on
power system modelling for transient stability studies. The selected models
will be used to formulate the complete model of a power system in the form of
combined non-linear differential and algebraic equations. Time-domain solution
techniques will be applied to solve such model for different operational
conditions and different values of selected parameters. In the second stage a
sensitivity analysis technique will be applied to study influence of various
parameters and operational conditions on the transient stability margin. In the
final stage we will demonstrate the application of the sensitivity analysis to
determine the optimal transient stability controls.
4. Chen Shuo, MSc topic: Broken Bar Detection using High-Resolution
Spectral Analysis
Spectral analysis of the signals (current or
flux) recorded during operation of an induction motor can be used for detection
of broken bar fault as well as estimation of the number of broken bars in the
rotor. In the conventional approach based on the Fast Fourier Transform (FFT)
spectral analysis very long data window with stationary motor load is required
to separate fundamental frequency (50Hz) from the fault (broken bar)
frequencies. When load decreases the fault and fundamental frequencies are
coming closer and the data window for FFT approach should be enlarged. The goal
of this research is to make accurate broken bar detection and estimation using
short data window even for the case of lightly loaded induction motor. It is
envisaged that the high-resolution parametric spectral estimation techniques
can replace FFT and provide improved accuracy for short data windows. Such
technique will have high value in the practical cases when machine load is
slowly-changing in time.
Postgraduate students
completed (last five years)
1. Abhisek Ukil, completed 2005, PhD title: Abrupt Change Detection in Automatic
Disturbance
Recognition
in Electrical Power Systems
2. Jaco Jordaan, completed 2006, PhD title: Fast and Accurate Signal
Processing Algorithms for
Power
System Applications
3. Peter Robert Van Heerden, completed 2006, MSc
title: Produce a Simulation Model of the
Alpha
/ Beta 765KV Line to Evaluate Methods of Auto-Reclosing
4. Rhulani Matshidza, completed 2006, MSc
title: Distance Protection Performance Concerning High Resistance Faults
5. C.H. van
Staden, completed 2004, MSc title: Metal Oxide Varistor Overvoltage Protection
for
Series
Capacitors
6. P.Spasojevic, completed 2004, MSc title: A Practical
Approach to Fault Analysis in Electrical
Power Transmission Networks
7. W.Graupe, completed 2002, MSc title: A Short-Term Electrical
Load Forecasting Model based
on Local Polynomial
Modelling
1.
R.Zivanovic, “High Voltage
Measurements”, Chapter 4, topic Electrical Engineering, editor Kit Po Wong, of
the Encyclopaedia of Life Support Systems (Physical Sciences, Engineering and
Technology Resources), www.eolss.net, EOLSS Publisher Co. Ltd. Oxford, UK, 2003
Journal Papers
1.
R.Zivanovic, “An Adaptive
Differentiation Filter for Tracking Instantaneous Frequency in Power Systems”,
IEEE Transactions on Power Delivery, Vol.22, No.2, April 2007
2.
A.Ukil, R.Zivanovic,
“Application of Abrupt Change Detection in Power Systems Disturbance
Analysis and Relay Performance Monitoring”, IEEE Transactions on Power Delivery, Vol. 22,
No.1, January 2007, pp. 59-66
3.
A.Ukil, R.Zivanovic,
“The Detection of Abrupt Changes using Recursive Identification for Power
System Fault Analysis”, Electric Power Systems Research, Volume 77, March 2007,
pp.259-265
4.
A.Ukil, R.Zivanovic,
“Abrupt Change Detection in Power System Fault Analysis using Adaptive Whitening
Filter and Wavelet Transform”, Electric Power Systems Research, Volume 76, June
2006, pp. 815-823, in TOP25 quarterly list (articles that have been
downloaded the most)
5.
J.Jordaan, R.Zivanovic,
“'Frequency Estimation in Power Systems
Using the Dynamic Leapfrog Method”, Measurement, Volume 39, June 2006, pp.
451-457
6.
R.Zivanovic, “Local Linear
Approximation for Tracking Frequency in Power Systems”, International Journal
of Electrical Power & Energy Systems 27 (2005), pp. 409-416
7.
J.A.
Jordaan and R.Zivanovic,
“Nonparametric Time-Varying Phasor Estimation in
Power Systems by using of Non-quadratic Criterion”, Transactions of the South
African Institute of Electrical Engineers, March 2004, Vol. 95, No. 1, pp.35-41
8.
R.Zivanovic, P.Schegner,
O.Seifert, and G.Pilz,
“Identification of the Resonant-Grounded System Parameters by Evaluating Fault
Measurement Records”, IEEE Transactions on Power Delivery, July 2004, Vol. 19,
Issue 3, pp.1085-1090
9.
R.Zivanovic, “On the Use of
Partially Linear Model in Identification of Arcing-Fault Location on Overhead
High-Voltage Transmission Lines”, International Journal on Bifurcation and
Chaos, invited paper for special issue on Modelling and Identification of
Nonlinear Systems, Vol.14, No.6, June 2004, pp. 1975-1985
10. J.A.Jordaan and R.Zivanovic,”
The Application of the Leapfrog Method in Power System State Estimation”, IEE
Proceedings Generation, Transmission and Distribution, Vol.150, No.1, January
2003, pp.28-32
Conference Papers
1.
R.Zivanovic and Hoong
Boon Ooi, “A Systematic Approach for Testing
Transmission Line Fault-Locating Techniques”, Electricity 2007 Conference, The
Electric Energy Society of
2.
R.Zivanovic and Shuo
Chen, “Fault Diagnostics of Induction Machines using Prony Analysis”, paper no. 496, IEEE Power Tech Conference,
1-5 July 2007,
3.
R.Zivanovic and Hoong
Boon Ooi, “Sensitivity Analysis of Transmission Line
Fault Location”, paper no. 498, , IEEE Power Tech Conference, 1-5 July 2007, Lausanne, Switzerland
4.
R.Zivanovic, “Application of
Weighted Structured Total Least Squares in Identification of Power System
Oscillation Modes”, IEEE PES PowerAfrica 2007
Conference and Exposition,
5.
R.Zivanovic, “Time-Varying Phasor Estimation for Analysis of Digital Fault Records”, 7th
International Conference on Power System Operation and Control (ICPSOP’07),
22-24 January 2007,
6.
R.Zivanovic, “An Algorithm for
Arcing-Fault Location on Transmission Lines”, Southern African Universities
Power Engineering Conference (SAUPEC’07), 25-26 January 2007,
7.
R.Zivanovic, “Estimation
of Transmission Line Parameters using Fault Records”, Australasian Universities
Power Engineering Conference (AUPEC’06), 10 – 13 December 2006,
8.
A.Ukil and R.Zivanovic,
”Automatic Signal Segmentation based on Abrupt Change Detection for Power
Systems Applications”, IEEE Power India Conference, 10-12 April 2006,
9.
R.Marais, R.Zivanovic,
and R.Estment, “Developing a Model to Simulate Least
Economic Cost Evaluation of Transmission Expansion Investment”, The 9th
International Conference on Probabilistic Methods Applied to Power Systems
(PMAPS’06), 11–15 June 2006,
10. R. van Heerden, R. Zivanovic and
N. Ijumba, “Reclosing on the Alpha-Beta 765kV
Line”, Southern African Power System Protection Conference, 8-10 November 2006,
11. A.Ukil and R.Zivanovic,
“Application of Abrupt Change Detection-based Signal Segmentation in Power
System Oscillation Analysis”, Southern African Universities Power Engineering
Conference (SAUPEC’06), January 2006,
12. J.A.Jordaan and R.Zivanovic,
“Signal Parameter Estimation in Power Systems: Semi-parametric Spectral
Estimation”, Southern African Universities Power Engineering Conference
(SAUPEC’06), January 2006,
13. A.Ukil and R.Zivanovic,
“Practical Approaches in Application Service Provider: A Comparative Study”,
14. A.Ukil and R.Zivanovic,
“Application of Abrupt Change Detection in Relay Performance Monitoring”, 40th
International Universities Power Engineering Conference (UPEC 2005), University
College Cork, Cork, Ireland, September 2005
15. R.D. Matshidza,
R.Zivanovic, “Impact of High Resistance Faults
on Impedance Protection Performance”, 18th International Conference
and Exhibition on Electricity Distribution (CIRED’2005),
16. R.M. Bukubukwana,
R.Zivanovic, “Inrush Current Transients during
Energization of an Unloaded Transformer on the ESKOM
Network”, 18th International Conference and Exhibition on
Electricity Distribution (CIRED’2005),
17. A.Ukil, R.Zivanovic,
“Abrupt Change Detection in Power System Fault Analysis using Wavelet
Transform”, The 6th International Conference on Power Systems Transients
(IPST’2005), Montreal, Canada, June 19-23, 2005
18. R.Zivanovic, “An Adaptive Median
Post-Filter for Impedance Estimation based on Differential Equation Algorithm”,
15th Power Systems Computation Conference 2005 (PSCC’2005),
19. R. Zivanovic, “Analysis of Recorded
Transients on 765kV Lines with Shunt Reactors”, IEEE PowerTech’2005,
20. R. Zivanovic, “Eliminating Bias in
Frequency Estimation based on Prony’s Method”, IEEE
PowerTech’2005,
21. R.Bukubukwana and R.Zivanovic,
“Energization of Unloaded Transformers on the ESKOM
Network”, 5th
22. P.Keller, R.Zivanovic
and C.Henze, “Support Vector-based Fault
Classification on the ESKOM Transmission System”, 5th Southern
Africa Regional CIGRE Conference, Somerset West,
23. T.Wegner, M.Vogelsang,
S.Hesse, W.Lazenby and R.Zivanovic, “Estimation of Transmission Line
Parameters by Evaluation of Fault Data Records”, Southern African Universities
Power Engineering Conference (SAUPEC’05), 27-28 January 2005,
24. J.Jordaan and R.Zivanovic,
“Signal Parameter Estimation in Power Systems: Separable Least Squares vs Newton Methods”, Southern African Universities Power
Engineering Conference (SAUPEC’05), 27-28 January 2005,
25. P.Keller, C.Henze
and R.Zivanovic, “Automated Analysis of
Digital Fault Records – a Utility Perspective”, Southern African Universities
Power Engineering Conference (SAUPEC’05), 27-28 January 2005,
26. A.Ukil and R.Zivanovic,
“Detection of Abrupt Changes in Power System Fault Analysis: A Comparative
Study”, Southern African Universities Power Engineering Conference (SAUPEC’05),
27-28 January 2005,
27. R.Matshidza, R.Zivanovic,
N.Ijumba and A.Bartylak,
“Analysis of the Dynamic Behaviour of Distance Protection Systems on ESKOM
Transmission Networks”, Southern African Universities Power Engineering
Conference (SAUPEC’05), 27-28 January 2005,
28. R.Zivanovic, “A State-Space Signal
Decomposition Method for Power System Disturbance Analysis”, Proceedings of the
IEEE AFRICON’04 Conference, 15-17 September 2004,
29. R.Biernatzki, B.Bitzer,
R.Zivanovic, A.D.Els
and S.L.Els, “Agent Technology used in Power
Systems”, Proceedings of the IEEE AFRICON’04 Conference, 15-17 September 2004,
30. R.Zivanovic and P.Schegner,
“Pre-filtering Improves Prony Analysis of Disturbance
Records”, Proceedings of the Eight International Conference on Developments in
Power System Protection, Amsterdam, The Netherlands, 5-8 April 2004, pp.780-783
31. R.Zivanovic, P.Tlhatlhetji,
A.Bartylak and P.Keller, “A
Semi-parametric Approach in Arcing Fault Location”, Proceedings of the Eight
International Conference on Developments in Power System Protection, Amsterdam,
The Netherlands, 5-8 April 2004, pp. 477-480
32. J.L. van den Berg and R.Zivanovic, “Protection Problems and Solutions
Associated with Series Compensated Transmission Lines”, Southern African
Universities Power Engineering Conference (SAUPEC’04), 22-23 January 2004,
Session Protection and System Automation, paper No.63, University of Stellenbosch, South Africa
33. A.D. Els,
S.L. Els, J.A. Jordaan, R.
Zivanovic, “Intelligent Agents Technology For
Substation Data Acquisition Systems”, Southern African Universities Power
Engineering Conference (SAUPEC’04), 22-23 January 2004, Session Computer
Applications, paper No.66, University of Stellenbosch,
South Africa
34. W.H.Lezenby, D.Christensen,
R.Zivanovic, “Some Observations on Distance to
Fault Calculations, using the Sachdef Algorithm”,
Southern African Universities Power Engineering Conference (SAUPEC’04), 22-23
January 2004, Session Renewable Energy Systems, paper No.76,
35. J.A.Jordaan, R.Zivanovic,
“Nonparametric Time-Varying Phasor Estimation in
Power Systems by making use of Non-quadratic Criterion”, Proceedings of the
IEEE AFRICON’02 Conference, October 2002,
36. R.Zivanovic, “A Nonparametric
Technique for High Precision Estimation of Power System Time-Varying Phasors”, Proceedings of the 14th Power Systems
Computation Conference (PSCC’02),
37. R.Zivanovic, “Nonparametric Trend
Model for Short Term Electricity Demand Forecasting”, Proceedings of the 5th
IEE Conference on Power System Management and Control, 17-19 April 2002, IEE
Savoy Place, London, UK, pp.347-352
38. R.Zivanovic
and J.A.Jordaan, “Nonparametric Time-Varying Phasor Estimation in Power Systems”, Southern African
Universities Power Engineering Conference (SAUPEC’2002), 31 January –