Title :
Preventive and emergency control of intelligent power systems
Author :
Voropai, N.I. ; Kurbatsky, Victor G. ; Tomin, Nikita V. ; Panasetsky, Daniil A.
Author_Institution :
Electr. Power Syst. Dept., Melentiev Energy Syst. Inst., Irkutsk, Russia
Abstract :
The adaptive emergency control concept is based on realization of a tradeoff between preventive and emergency control by combining preventive and emergency actions. The paper proposes to complement the existing control strategies by predictive control strategy - adaptive emergency control, which implies identification of the emergency, until the emergency has occurred. In this paper presented the smart predictive voltage stability assessment (VSA) for the adaptive emergency control techniques on the basis of the artificial neural network methodology. The main idea of the smart predictive VSA here is a creation of a neural network model, based on a self-organized Kohonen map SOM that will be able to perform monitoring and prediction of emergency condition. Simulation results are obtained by the proposed scheme for different power system networks to assess the security level of the network.
Keywords :
adaptive control; neurocontrollers; power system security; power system stability; predictive control; self-organising feature maps; SOM; VSA; adaptive emergency control; artificial neural network; intelligent power systems; neural network model; power system security; predictive control; preventive control; self-organized Kohonen map; smart predictive voltage stability assessment; Artificial neural networks; Generators; Power system stability; Stability analysis; Transient analysis; Voltage control; Kohonen map; artificial neural networks; emergency control; intelligent power system; preventive control;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-2595-0
Electronic_ISBN :
2165-4816
DOI :
10.1109/ISGTEurope.2012.6465633