DocumentCode :
3733350
Title :
Controlled islanding of power networks using machine learning algorithm
Author :
D. N. Trakas;E. M. Voumvoulakis;N. D. Hatziargyriou
Author_Institution :
Sch. of Electr. &
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Wide-area blackouts have occurred the last decades due to severe disturbances and cascading failures. Controlled islanding of a power system is a measure for preventing blackout and limiting the effects of disturbances. Intention islanding aims to divide the network into electromechanically stable islands, which should satisfy a number of constraints such as generator coherency, generation-demand balance, system limits, and network dynamic constraints. The controlled islanding addresses the problem of finding which lines should be disconnected to create the islands. In this paper a modified algorithm of SelfOrganizing Map (SOM) in combination with a Particle Swarm Optimization (PSO) algorithm is proposed in order to determine which lines should be disconnected. To evaluate the algorithm performance the method is applied to test networks.
Publisher :
iet
Conference_Titel :
MedPower 2014
Print_ISBN :
978-1-78561-146-9
Type :
conf
DOI :
10.1049/cp.2014.1683
Filename :
7386124
Link To Document :
بازگشت