DocumentCode
3195866
Title
A model-predictive approach to emergency voltage control in electrical power systems
Author
Larsson, Mats
Author_Institution
ABB Switzerland, Baden, Switzerland
Volume
2
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
2016
Abstract
Recent blackouts have shown that traditional local protection against power system collapse is not always sufficient to arrest instabilities. This paper shows that centralized systems can perform better than traditional local protection, as well as outlining how the decision logic of such centralized systems can be implemented. We present a coordinated system protection scheme (SPS) against voltage collapse based on model predictive control and heuristic tree search. It coordinates dissimilar and discrete controls such as generator, tap changer and load shedding controls in presence of soft and hard constraints on controls as well as voltages and currents in the network. The response with the coordinated SPS is compared to an SPS based on local measurements using simulation of the Nordic 32 test system. In terms of the amount of load shedding required to restore voltage stability, the simulations indicate that load shedding based on local criteria is near optimal in the system studied. However, when also generator controls are considered as emergency controls, the coordinated scheme reduces the amount of required load shedding by 35% compared to the local scheme.
Keywords
load distribution; power system control; power system stability; predictive control; tree searching; voltage control; Nordic 32 test system; coordinated system protection scheme; decision logic; electrical power systems; emergency voltage control; generator control; heuristic tree search; load shedding control; model predictive control; power system collapse; tap changer control; voltage collapse; voltage stability; Coordinate measuring machines; Logic; Power system control; Power system modeling; Power system protection; Power systems; Predictive control; Predictive models; System testing; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1430344
Filename
1430344
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