Om Malik
Faculty Professor
- Department of Electrical and Computer Engineering
- University of Calgary
- 2500 University Drive N.W.
- Calgary, Canada, AB T2N 1N4
- Telephone: 403-220-6178
- Fax: 403-282-6855
- Email address: maliko@ieee.org
- URL: http://www.enel.ucalgary.ca
Key words:
Control systems,
Fuzzy Logic,
Intelligent systems,
Protection
Unlisted key words:
Power System Stabilizers,
Adaptive Control,
Neural Network Applications in Power Systems
Research description:
Development of adaptive, fuzzy logic and neural network based
power system stsbilizers with particular emphasis on implementation
and experimental real time assessment of these devices in actual
power systems. A number of new techniques have been developed that
provide on-line tuning in real time requiring almost nil on-line
effort during commissioning. The validy of such algorithms has been
demonstrated not only by experimental studies on physical models
in the laboratory but also in real power systems.
Novel algorithms for protection of high voltage transmission lines
using conventional approaches and neural networks have been developed
and verified by experimental tests on a physical model and on data
collected from actual faults on transmission lines. Work has also
been done on the development of models for the simulation of both
symmetrical and unsymmetrical internal faults in the stator winding
of a synchronous machine.
Laboratory facilities:
Tha laboratory setup consists of a physical model of a single machine
connected to a constant voltage bus through a double circuit transmission line.
The synchronous machine is a specially designed 3kVA micromachine connected to
the contant voltage bus through lines that can model 500kV lines upto 300 km in
sections of 50km. the synchronous machine has a time constant regulator by which
its time constant can be adjusted between 0.8s and 9.0s. Other equipment includes
computers, DSP, and measuring devices for real time on-line control and protection
work.
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