Title :
Real-time dynamic security assessment of power systems with large amount of wind power using Case-Based Reasoning methodology
Author :
Tiako, R. ; Jayaweera, D. ; Islam, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
Abstract :
The method of Case-Based Reasoning (CBR) for assessing in real-time the dynamic security assessment of power systems with large amount of wind power is considered. The CBR is an artificial intelligence methodology. The CBR principles consist of using solutions of previous or old cases to calculate with high accuracy solutions of subsequent or real-time cases. The structure and functionalities of the CBR are described. A 19-bus test system model is used to demonstrate the efficiency of the described methodology. Results suggest that real-time dynamic security assessment of power system with large amount of wind power using the CBR methodology is robust and provide lesser computational time.
Keywords :
case-based reasoning; power engineering computing; power system security; wind power plants; 19-bus test system model; CBR methodology; artificial intelligence methodology; case-based reasoning methodology; power system; real-time dynamic security assessment; wind power; Cognition; Libraries; Power system dynamics; Power system stability; Real-time systems; Security; Wind power generation; case-based reasoning; dynamic security assessment; power systems; wind power;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345033
