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

  • Cilt numarası: 48
  • Doi Numarası: 10.1016/j.ifacol.2015.12.369
  • Basıldığı Şehir: New Delhi
  • Basıldığı Ülke: Hindistan
  • Sayfa Sayıları: ss.149-154

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.