Title :
Emergency alleviation of thermal overloads using model predictive control
Author :
Otomega, B. ; Marinakis, A. ; Glavic, M. ; Van Cutsem, T.
Author_Institution :
Montefiore Inst., Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Liege
Abstract :
An approach inspired of Model Predictive Control is proposed to determine a sequence of control actions aimed at alleviating thermal overloads in emergency conditions. The algorithm brings the line currents below their limits in the time interval left by protections, while accounting for constraints on control changes at each step. Its closed-loop nature allows to compensate for measurement noise and model uncertainties.
Keywords :
overvoltage protection; power system control; power system protection; predictive control; emergency alleviation; line currents; measurement noise; model predictive control; model uncertainties; thermal overloads; Conducting materials; Constraint optimization; Control systems; Noise measurement; Open loop systems; Power system modeling; Predictive control; Predictive models; Protection; Transformers; Thermal overload; constrained optimization; emergency control; model predictive control;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538317
