DocumentCode :
2924513
Title :
A framework for actuator placement in large scale power systems: Minimal strong structural controllability
Author :
Pequito, Sergio ; Popli, Nipun ; Kar, Soummya ; Ilic, Marija D. ; Aguiar, A. Pedro
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
416
Lastpage :
419
Abstract :
This paper addresses the problem of minimal placement of actuators in large-scale linear time invariant (LTI) systems, such as large-scale power systems, for dynamic controller design. A novel sufficient and necessary condition to ensure a strong structurally controllable (SSC) system is proposed. Specifically, the paper addresses the problem of obtaining the minimal number of dedicated inputs, i.e., inputs which actuate only a single state variable, and the respective state variables they should be assigned to, such that the LTI system is SSC. In addition, an efficient and scalable algorithm, with polynomial implementation complexity, to achieve such minimal placement of dedicated inputs is proposed. An illustration of the proposed design methodology is provided on the IEEE 5-bus test system, thereby identifying the minimal number of physical state variables to be actuated for ensuring strong structural controllability.
Keywords :
controllability; linear systems; matrix algebra; polynomials; power systems; IEEE 5-bus test system; SSC system; actuator placement; dedicated inputs; dynamic controller design; large scale power systems; large-scale LTI systems; large-scale linear time invariant systems; physical state variables; polynomial implementation complexity; single state variable; strong structurally controllable system; Actuators; Controllability; Frequency control; Load modeling; Mathematical model; Power system dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
Type :
conf
DOI :
10.1109/CAMSAP.2013.6714096
Filename :
6714096
Link To Document :
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