Robust fuzzy PSS design using ABC

This paper presents an Artificial Bee Colony (ABC) algorithm to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Thus, extraction of an appropriate set of rules or selection of an optimal set of ru...

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Bibliographic Details
Published in2011 10th International Conference on Environment and Electrical Engineering pp. 1 - 4
Main Authors Abedinia, O, Wyns, B, Ghasemi, A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
ABC
Algorithm design and analysis
Fuzzy PSS Design
Multi-machine Power Systems
Niobium
Optimization
Power system dynamics
Power system stability
PSS
Robustness
Rule-base
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Summary:This paper presents an Artificial Bee Colony (ABC) algorithm to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Thus, extraction of an appropriate set of rules or selection of an optimal set of rules from the set of possible rules is an important and essential step toward the design of any successful fuzzy logic controller. Consequently, in this paper, an ABC based rule generation method is proposed for automated fuzzy PSS design to improve power system stability and reduce the design effort. The effectiveness of the proposed method is demonstrated on a 3-machine 9-bus standard power system in comparison with the Genetic Algorithm based tuned FPSS under different loading condition through ITAE performance indices.
ISBN:142448779X
9781424487790
DOI:10.1109/EEEIC.2011.5874849