Title :
Weak voltage area recognition method in power system based on fuzzy subtract clustering
Author :
Duan, Qi ; Deng, Huiwen ; Ye, Di
Author_Institution :
Inst. of Logic & Intell., Southwest Univ., Chongqing, China
Abstract :
In power system, voltage collapses are often caused by voltage instability of some areas, then proliferate to the overall system, make the system breakdown. Therefore how to judge the system voltage stability weak area has become a focus problem. In this paper, fuzzy subtract clustering is applied in sensitivity indices analysis method for recognizing weak voltage areas in power system. Furthermore, this method is validated through two simulations. The first simulation´s result showed that this method is as accurate as traditional modal analysis. The second simulation showed that this method is very economical for power system stability recovery.
Keywords :
fuzzy set theory; power system dynamic stability; sensitivity analysis; fuzzy subtract clustering; modal analysis; power system stability recovery; sensitivity indices analysis; system breakdown; system voltage stability weak-area; voltage collapses; voltage instability; weak-voltage area recognition method; Power grids; Power system dynamics; Power system stability; Sensitivity; Stability criteria; fuzzy subtract clustering; power system stability; weak voltage area recognition;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569378