| 1. Research
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Publications
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To see a list of publications, please visit: |
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| Research Theme and Topics
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| The world around us can be seen as interactive signals and
systems. The first step in any research and study is "Modeling". My main area of research is
"modeling nonlinear dynamic systems" using analytical
and experimental methods (identification). My research
activities cover a variety of topics including the followings:
- Modeling Nonlinear Systems:
The goal of this
research is to address different modeling approaches for
nonlinear systems. The approaches include white-box
modeling, using physical laws, then different optimization
techniques for parameter estimations. Other approaches
called black-box modeling, include wavelet analysis, Volterra series.
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Power System Modeling and
Identification Synchronous generators play a very
important role in the stability of the power systems. A
proper model for synchronous generators is essential for a
valid analysis of stability and dynamic performance of the
system. Almost three quarters of a century after the first
publications in this area, the subject is still a
challenging and attractive research topic.The traditional
methods of modeling the synchronous generators are well
specified in IEEE Standard 115. These methods assume a known
structure for the synchronous machine, using
well-established theories like Park’s transformation. They
address the problem of finding the parameters of the known
structure. Usually the procedures involve difficult and
time-consuming tests. These approaches include short-circuit
tests, standstill frequency response (SSFR) and open circuit
frequency response (OCFR) tests. These tests can mainly be
carried out when the machine is not in service. To overcome the
shortcomings of the traditional methods, identification
methods based on on-line measurements have gained attention
during the recent years.
- Wind Generation and Control
As a result of increasing
environmental concern, more and more electricity is
generated from renewable energy. Wind energy is one of
the fastest growing branches considering the installed power
of 25 GW at the end of 2001 and 60 GW at
the end of 2005. Wind energy
technology has developed extremely rapidly and many
commercial wind turbines now on the market have capacity of
2MW or more. Also the cost of wind-generated electricity has
fallen steadily. A review of wind generation increase
at different countries shows by the end of the year 2003,
the worldwide installed total wind generation was
approximately 37000 MW, an increase of 6000 MW compared to
the previous year. With growing size and number of wind
generation units, the need for some form of advanced control
strategy, which can control such a nonlinear dynamic system
can easily be foreseen. Advanced control strategies, such as
optimal control, robust control, predictive control,
adaptive control, all need a linearized state space model of
the study system | | |