Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony

Eke I., Taplamacioglu M. C., Lee K. Y.

9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), New Delhi, Hindistan, 9 - 11 Aralık 2015, cilt.48, ss.149-154 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 48
  • Doi Numarası: 10.1016/j.ifacol.2015.12.369
  • Basıldığı Şehir: New Delhi
  • Basıldığı Ülke: Hindistan
  • Sayfa Sayıları: ss.149-154
  • Anahtar Kelimeler: Orthogonal Learning, Artificial Bee Colony, Performance Indices, Power System Stabilizer, ALGORITHM, OPTIMIZATION, DESIGN
  • Gazi Üniversitesi Adresli: Evet

Özet

This study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned by using the ABC algorithm to achieve an acceptable overshoot and settling time at all load points within a wide region of operation. The objective function allows the selection of the stabilizer parameters to minimize the overshoot and settling time at all load conditions. For robust PSS performance, a wide range of operating conditions is considered for search space. The designed PSS is applied to a single-machine infinite-bus system operating at different loading conditions and the results demonstrated that the developed technique is very effective.