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Optimal Overload Response in Electric
Power Systems applying
Model Predictive Control
Markus Schläpfer
Michèle Arnold (D-ITET)
October 2, 2007
The liberalization of the European interconnected network as well as new upcoming
trends for integration of alternative energies cause an incredible complexity to the
actual generation distribution. New risks seem to a_ect the reliability of the electric
power system. The blackouts appeared in the last years in Europe and North
America are signals that indicate the presence of cascading failures which cause
severe economic and social consequences. New approaches are needed to control the
propagation of outages which hardly can be stopped by a human operator. This
thesis analyzes the possibility of applying a control based on predictions for the
system. Firstly, on a centralized level and secondly, on a decentralized level, with
the help of communicating and interacting agents. The aim is to suppress failures and to minimize costs due to generation and load power redispatch.
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