Robust power system stabilizer design based on LMI optimization approach

• Main Author: Mohamad, Ahmad Johari
• Format: Thesis
• Language: English; English; English
• Published: 2004
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK1001-1841 Production of electric energy or power. Powerplants. Central stations
• 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/

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.