Title :
A fuzzy method for power system model reduction
Author :
Wang, Shu-Chen ; Huang, Pei-Haw
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
This paper studies the order reduction of power system dynamic models by fuzzy clustering. Based on the fuzzy c-means algorithm, a method is proposed for clustering the poles and the zeros of the original power system model into new clusters from which a reduced-order model can be obtained. Results from applying the method to a sample power system are demonstrated to show the validity of the proposed method.
Keywords :
fuzzy set theory; pattern clustering; poles and zeros; power system control; reduced order systems; statistical analysis; fuzzy c-means algorithm; fuzzy clustering; order reduction; power system dynamic model reduction; reduced order model; Clustering algorithms; Clustering methods; Fuzzy systems; Partitioning algorithms; Poles and zeros; Power system analysis computing; Power system dynamics; Power system modeling; Power system stability; Reduced order systems;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375524
