Robust power system stabilizer design based on LMI optimization approach
Robust control theory considers a fundamental and practically important issue in control engineering plant uncertainty. It turns out that many of the simplest questions are very difficult to solve, but researchers have made considerable progress over the last twenty years. In this project, a r...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7907/1/24p%20AHMAD%20JOHARI%20MOHAMAD.pdf http://eprints.uthm.edu.my/7907/2/AHMAD%20JOHARI%20MOHAMAD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7907/3/AHMAD%20JOHARI%20MOHAMAD%20WATERMARK.pdf http://eprints.uthm.edu.my/7907/ |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English English English |
| Summary: | Robust control theory considers a fundamental and practically important issue in
control engineering plant uncertainty. It turns out that many of the simplest questions are
very difficult to solve, but researchers have made considerable progress over the last
twenty years. In this project, a robust control of power system stabilizer (PSS) for single
machine infinite bus using LMI optimization approach is considered. In practical, power
system stabilizers (PSS) are added to excitation systems to enhance the damping during
low frequency oscillations. The main objective of this project is to design robust
controller for PSS using Hoo technique based on LMI optimization approach. The
nonlinear model of a machine is linearized at different operating points using Power
System Dynamic simulation software. A robust controller is obtained using linear matrix
inequalities approach. This method does not require state of the system for feedback and
is easily implementable. A single machine infinite bus system is applied to demonstrate
the efficiency and robustness of the approach. The results obtained from simulations
validate the improvement in damping of overall power oscillations in the system. The
simulation also shows that the optimized PSSs are robust in providing adequate damping
for a range of conditions on the system. This method gives very good results for the
design of PSS for single machine infinite bus system compared to NBO method. |
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