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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.

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Chicago
Abedinia, Oveis, Bart Wyns, and Ali Ghasemi. 2011. “Robust Fuzzy PSS Design Using ABC.” In International Conference on Environment and Electrical Engineering (EEEIC), 100–103. Piscataway, NJ, USA: IEEE.
APA
Abedinia, O., Wyns, B., & Ghasemi, A. (2011). Robust fuzzy PSS design using ABC. International Conference on Environment and Electrical Engineering (EEEIC) (pp. 100–103). Presented at the 10th International Conference on Environment and Electrical Engineering (EEEIC - 2011), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Abedinia O, Wyns B, Ghasemi A. Robust fuzzy PSS design using ABC. International Conference on Environment and Electrical Engineering (EEEIC). Piscataway, NJ, USA: IEEE; 2011. p. 100–3.
MLA
Abedinia, Oveis, Bart Wyns, and Ali Ghasemi. “Robust Fuzzy PSS Design Using ABC.” International Conference on Environment and Electrical Engineering (EEEIC). Piscataway, NJ, USA: IEEE, 2011. 100–103. Print.
@inproceedings{1268315,
  abstract     = {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.},
  articleno    = {12061656},
  author       = {Abedinia, Oveis and Wyns, Bart and Ghasemi, Ali},
  booktitle    = {International Conference on Environment and Electrical Engineering (EEEIC)},
  isbn         = {9781424487790},
  language     = {eng},
  location     = {Rome, Italy},
  pages        = {12061656:100--12061656:103},
  publisher    = {IEEE},
  title        = {Robust fuzzy PSS design using ABC},
  url          = {http://dx.doi.org/10.1109/EEEIC.2011.5874849},
  year         = {2011},
}

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