A Control Method for Power System Stabilizers by means of a Support Vector Machine
Conference: UPEC 2011 - 46th International Universities' Power Engineering Conference
09/05/2011 - 09/08/2011 at Soest, Germany
Proceedings: UPEC 2011
Pages: 5Language: englishTyp: PDF
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Authors:
Zoka, Y.; Akiyama, Y.; Uemura, Y.; Sasaki, Y.; Yorino, N. (Hiroshima University, Japan)
Abstract:
This paper proposes a new control mechanism for power system stabilizer (PSS) by means of Support Vector Machine (SVM). Plural PSS settings were suitably determined in advance and would be selected by SVM mechanism according to system states to improve overall performance. Learning process is very important and the learning method is also proposed in this paper. The proposed method has been applied, and the obtained PSS control system was tested on an example power system (IEEJ WEST10). Compared with the previous results, the proposed method shows better performance even if in severe cases.