ABSTRACT
Power system stabilizers (PSS) must be capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbance. Traditional PSS rely on robust linear design method in an attempt to cover a wider range of operating condition. Expert or rule-based controllers have also been proposed.
Recently fuzzy logic (FL) as a novel robust control design method has shown promising results. The emphasis in fuzzy control design center is around uncertainties in the system parameters & operating conditions. In this paper a novel Robust Fuzzy Logic Power System Stabilizer (RFLPSS) design is proposed The RFLPSS basically utilizes only one measurable Δω signal as input (generator shaft speed).
The speed signal is discretized resulting in three inputs to the RFLPSS. There are six rules for the fuzzification and two rules for defuzzification. To provide robustness, additional signal namely, speed are used as inputs to RFLPSS enabling appropriate gain adjustments for the three RFLPSS inputs. Simulation studies show the superior performance of the RFLPSS compared with an optimally designed conventional PSS and discrete mode
FLPSS.
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION PAGE
DEDICATION
ACKNOWLEDGEMENTS
ABSTRACT
TABLE OF CONTENTS
CHAPTER ONE:
1.0INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF THE STUDY
1.3 IMPORTANCE/SIGNIFICANCE OF THE STUDY
1.4 DEFINITION OF TERMS
1.5 ASSUMPTIONS OF THE STUDY
CHAPTER TWO
2.0LITERATURE REVIEW
2.1SYSTEM MODELING
CHAPTER THREE
4.1FLC STRUCTURE
CHAPTER FOUR
4.0FUZZY DATABASES
4.1OUTPUT MEMBERSHIP FUNCTION
4.2RULE BASE
CHAPTER FIVE
1.0CONCLUSION
5.1 LIMITATIONS OF THE STUDY
5.2 SUGGESTION FOR FURTHER STUDY
REFERENCES