Title :
Monitoring of expected operating conditions of electric power systems on the basis of the modern cluster methods
Author :
Kurbatsky, Victor ; Tomin, Nikita
Author_Institution :
Power Syst. Dept., Energy Syst. Inst., Irkutsk, Russia
Abstract :
The paper presents an intelligent approach to monitoring of the expected operating conditions on the basis of the self-organizing Kohonen maps and k-means method. The suggested approach makes it possible to effectively follow changes in the current and expected operating conditions and predict heavy load conditions and/or development of emergency conditions almost in real time.
Keywords :
power engineering computing; power system management; self-organising feature maps; cluster method; electric power system; k-mean method; operational management; self organizing Kohonen map; Artificial intelligence; Clustering algorithms; Data visualization; Monitoring; Power system stability; Transient analysis; cluster; expected operating conditions; monitoring; power system; the Kohonen maps; the k-means method;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-8779-0
DOI :
10.1109/EEEIC.2011.5874574
