Visiting Speaker: Prof Kit Po Wong
Enhanced Evolutionary Programming For Optimal
Reactive Power Flow Problem
Speaker: Professor Kit Po Wong, Department of Electrical Engineering, The
Hong Kong Polytechnic University
When: 12.00PM, Thu 30 Jun 2005
Venue: 78-420
Host: Dr Z.Y. Dong
Abstract:
Many conventional gradient-based algorithms have been used to solve
the power system optimization problems. However, their common
disadvantages are a) requiring continuous and differentiable
objective functions, b) easy to be trapped into local minimum, and
c) difficult to handle discrete control variables. To overcome these
disadvantages, more flexible evolutionary algorithms including
genetic algorithm, evolutionary strategy, evolutionary programming
and particle swarm optimization have been studied since
mid-1990s. Some works have recently been performed in the
Computational Intelligence Applications Research Laboratory
(CIARLab) in the Department of Electrical Engineering at HKPolyU on
the applications of evolutionary algorithms in power system
optimization problems.
In this seminar, a comprehensive study on some recently developed
evolutionary programming techniques for the ORPF flow problem
carried out at CIARLab will first be presented. It then describes
how by comparing the performances of four control schemes of the
strategy parameter (CSSPs) of evolutionary programming, two
principles for designing effective CSSPs can be identified and used
to develop two improved CSSPs. Performance studies of the improved
evolutionary programming methods conducted on the IEEE 14-, 30- and
118-bus test systems will also be described.
Biography:
Professor Kit Po Wong obtained M.Sc, Ph.D. and the Higher Doctorate
DEng degrees from the University of Manchester, Institute of Science
and Technology, in 1972, 1974 and 2001 respectively. Prof. Wong was
with The University of Western Australia since 1974 and joined The
Hong Kong Polytechnic University in 2002 as Chair Professor and Head
of Department of Electrical Engineering. Prof. Wong received three
Sir John Madsen Medals (1981, 1982 and 1988) from the Institution of
Engineers Australia, the 1999 Outstanding Engineer Award from IEEE
Power Chapter Western Australia and the 2000 IEEE Third Millennium
Award. He has published numerous papers in power system protection,
stability, electromagnetic transient evaluations and artificial
intelligence applications in power. His recent research interests
include evolutionary computation applications to power system
planning, operations and power market analysis. Professor Wong has
involved in organising many international power conferences and was
General Chair of IEE APSCOM 2004 and IEEE PowerCon 2000, and is the
Local Chair of the IEEE IAS General Meeting 2005. He is a Technical
Co-Chair of the IEEE ICMLC 2004 conference. He is an Honorary Editor
of IEE Proceedings in Generation, Transmission and Distribution and
Editor (Electrical) of the Transactions of Hong Kong Institution of
Engineers. Prof. Wong is a Fellow of IEEE, IEE, IEAust and HKIE.
Speaker: Professor Kit Po Wong, Department of Electrical Engineering, The
Hong Kong Polytechnic University
When: 12.00PM, Thu 30 Jun 2005
Venue: 78-420
Host: Dr Z.Y. Dong
Abstract:
Many conventional gradient-based algorithms have been used to solve
the power system optimization problems. However, their common
disadvantages are a) requiring continuous and differentiable
objective functions, b) easy to be trapped into local minimum, and
c) difficult to handle discrete control variables. To overcome these
disadvantages, more flexible evolutionary algorithms including
genetic algorithm, evolutionary strategy, evolutionary programming
and particle swarm optimization have been studied since
mid-1990s. Some works have recently been performed in the
Computational Intelligence Applications Research Laboratory
(CIARLab) in the Department of Electrical Engineering at HKPolyU on
the applications of evolutionary algorithms in power system
optimization problems.
In this seminar, a comprehensive study on some recently developed
evolutionary programming techniques for the ORPF flow problem
carried out at CIARLab will first be presented. It then describes
how by comparing the performances of four control schemes of the
strategy parameter (CSSPs) of evolutionary programming, two
principles for designing effective CSSPs can be identified and used
to develop two improved CSSPs. Performance studies of the improved
evolutionary programming methods conducted on the IEEE 14-, 30- and
118-bus test systems will also be described.
Biography:
Professor Kit Po Wong obtained M.Sc, Ph.D. and the Higher Doctorate
DEng degrees from the University of Manchester, Institute of Science
and Technology, in 1972, 1974 and 2001 respectively. Prof. Wong was
with The University of Western Australia since 1974 and joined The
Hong Kong Polytechnic University in 2002 as Chair Professor and Head
of Department of Electrical Engineering. Prof. Wong received three
Sir John Madsen Medals (1981, 1982 and 1988) from the Institution of
Engineers Australia, the 1999 Outstanding Engineer Award from IEEE
Power Chapter Western Australia and the 2000 IEEE Third Millennium
Award. He has published numerous papers in power system protection,
stability, electromagnetic transient evaluations and artificial
intelligence applications in power. His recent research interests
include evolutionary computation applications to power system
planning, operations and power market analysis. Professor Wong has
involved in organising many international power conferences and was
General Chair of IEE APSCOM 2004 and IEEE PowerCon 2000, and is the
Local Chair of the IEEE IAS General Meeting 2005. He is a Technical
Co-Chair of the IEEE ICMLC 2004 conference. He is an Honorary Editor
of IEE Proceedings in Generation, Transmission and Distribution and
Editor (Electrical) of the Transactions of Hong Kong Institution of
Engineers. Prof. Wong is a Fellow of IEEE, IEE, IEAust and HKIE.
