Title :
Decision Tree Based Online Identification of Critical Voltage Control Area
Author :
Hosseini, S. M Hassan ; Olamaei, J. ; Gholami, V. ; Jahangir, M.
Author_Institution :
South Tehran Branch, Islamic Azad Univ., Tehran, Iran
Abstract :
New method of online identification of critical voltage control area (CVCA) based on decision tree is presented. Voltage instability is one of the main causes of blackouts in modern power systems. The objective of this paper is to propose an online methodology for identification of CVCAs, which is key function for preventive and remedial actions against instability. This is carried out under various system operation and contingency conditions by using offline trained decision trees (DT) generated and online PMU measurements. Numerical results on the New England 39-bus test system, shows the suitability and effectiveness of the proposed method.
Keywords :
decision trees; power engineering computing; power system control; voltage control; CVCA; critical voltage control area; decision tree based online identification; online PMU measurements; online methodology; voltage instability; Decision trees; Generators; Phasor measurement units; Power system stability; Reactive power; Stability analysis; Voltage control;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307562
