DocumentCode :
1900076
Title :
Lookahead Control based framework for power system applications
Author :
Amgai, Ranjit ; Shi, Jian ; Abdelwahed, Sherif
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA
fYear :
2012
fDate :
9-11 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Robustness of the power system can be enhanced with appropriate autonomic control action following the disturbances. Predictive optimal tuning of real time control parameters from the finite set of control actions is considered in this paper to prevent from impending system deterioration. We present the formulation of generic, higher layer model based Limited Lookahead Control (LLC) approach that can be applied to variety of power system applications. System model including the lower level controller , load dynamics and network is used to assist the controller action. Discrete time control decisions are made based on the optimization of the predicted response to a limited horizon from the developed model. Finally, we present a case study to demonstrate the applicability of the proposed framework. Nine bus multi-machine power system benchmark is considered for voltage control with the finite set of capacitor tuning.
Keywords :
discrete time systems; power system control; voltage control; autonomic control action; capacitor tuning; discrete time control decisions; layer model-based LLC approach; layer model-based limited lookahead control approach; load dynamics; lookahead control-based framework; lower-level controller; nine bus multimachine power system benchmark; power system applications; power system robustness; predicted response optimization; predictive optimal tuning; real time control parameters; voltage control; Capacitors; Computational modeling; Load modeling; Mathematical model; Power system dynamics; Predictive models; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2012
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4673-2306-2
Electronic_ISBN :
978-1-4673-2307-9
Type :
conf
DOI :
10.1109/NAPS.2012.6336342
Filename :
6336342
Link To Document :
بازگشت