Distributed Real-Time Dynamic Security Assessment of Power Systems using Intelligent Techniques Share Share

Loss of synchronization between power generating modules has a destabilizing effect on power grids – especially today, with power grids often operating close to their limits. Generally, time domain simulation is used to evaluate the stability of power systems, but the approach tends to be too slow to catch grid interruptions before they occur.

 

For his Master’s thesis, Karthik Kumar proposed a distributed time efficient approach to predict future values of system parameters that then allow to predict the stability of the power generating modules.

 

The approach uses artificial neural networks and fuzzy interference systems based on European Network of Transmission System Operators for Electricity (ENTSO-E) defined criteria.

Authors

Karthik Kumar

Location

EPFL - Lausanne

Date

18 February 2013
28 June 2013

Supervisor

Maher Kayal