DocumentCode :
3363318
Title :
Model Predictive Frequency Control employing stability constraints
Author :
Trabert, Christoph ; Ulbig, Andreas ; Andersson, Goran
Author_Institution :
Power Syst. Lab., ETH Zurich, Zurich, Switzerland
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
5678
Lastpage :
5685
Abstract :
A model predictive control (MPC) based control scheme for frequency control (MPFC) in electric power systems using generic energy storage systems is presented. Closed-loop stability is obtained via the incorporation of stability constraints based on Lyapunov theory and the concept of passivity. The proposed MPFC schemes, guaranteeing closed-loop stability, are derived for one-area and two-area power system models. For the two-area power system, coordinated (centralized) and uncoordinated (decentralized) MPFC schemes are implemented. Stability properties were derived and simulated. Passivity and CLF based MPFC schemes have a generally better control performance than conventional frequency control and MPFC. It is notably shown that well-known passivity properties, i.e. interconnections of passive subsystems are also passive, allows for good scalability of passivity based MPFC.
Keywords :
Lyapunov methods; closed loop systems; decentralised control; energy storage; frequency control; power system control; predictive control; stability; CLF based MPFC schemes; Lyapunov theory; closed-loop stability; control performance; coordinated MPFC schemes; decentralized MPFC schemes; electric power systems; generic energy storage systems; model predictive frequency control; one-area power system models; passive subsystems; passivity properties; stability constraints; stability properties; two-area power system models; Batteries; Frequency control; Frequency measurement; Load modeling; Mathematical model; Power system stability; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7172229
Filename :
7172229
Link To Document :
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