TY - JOUR
T1 - Damping control in power systems under constrained communication bandwidth
T2 - A predictor corrector strategy
AU - Chaudhuri, Nilanjan Ray
AU - Chakraborty, Debraj
AU - Chaudhuri, Balarko
N1 - Funding Information:
Manuscript received August 25, 2010; accepted November 21, 2010. Manuscript received in final form November 29, 2010. Date of publication January 17, 2011; date of current version December 14, 2011. Recommended by Associate Editor N. El-Farra. This work was supported in part by the EPSRC, U.K. under Grant EESC P11121 and in part by the Royal Academy of Engineering under Researcher Exchange Program.
PY - 2012/1
Y1 - 2012/1
N2 - Damping electromechanical oscillations in power systems using feedback signals from remote sensors is likely to be affected by occasional low bandwidth availability due to increasing use of shared communication in future. In this paper, a predictor corrector (PC) strategy is applied to deal with situations of low-feedback data rate (bandwidth), where conventional feedback (CF) would suffer. Knowledge of nominal system dynamics is used to approximate (predict) the actual system behavior during intervals when data from remote sensors are not available. Recent samples of the states from a reduced observer at the remote location are used to periodically reset (correct) the nominal dynamics. The closed-loop performance deteriorates as the actual operating condition drifts away from the nominal dynamics. Nonetheless, significantly better performance compared to CF is obtained under low-bandwidth situations. The analytical criterion for closed-loop stability of the overall system is validated through a simulation study. It is demonstrated that even for reasonably low data rates the closed-loop stability is usually ensured for a typical power system application confirming the effectiveness of this approach. The deterioration in performance is also quantified in terms of the difference between the nominal and off-nominal dynamics.
AB - Damping electromechanical oscillations in power systems using feedback signals from remote sensors is likely to be affected by occasional low bandwidth availability due to increasing use of shared communication in future. In this paper, a predictor corrector (PC) strategy is applied to deal with situations of low-feedback data rate (bandwidth), where conventional feedback (CF) would suffer. Knowledge of nominal system dynamics is used to approximate (predict) the actual system behavior during intervals when data from remote sensors are not available. Recent samples of the states from a reduced observer at the remote location are used to periodically reset (correct) the nominal dynamics. The closed-loop performance deteriorates as the actual operating condition drifts away from the nominal dynamics. Nonetheless, significantly better performance compared to CF is obtained under low-bandwidth situations. The analytical criterion for closed-loop stability of the overall system is validated through a simulation study. It is demonstrated that even for reasonably low data rates the closed-loop stability is usually ensured for a typical power system application confirming the effectiveness of this approach. The deterioration in performance is also quantified in terms of the difference between the nominal and off-nominal dynamics.
UR - https://www.scopus.com/pages/publications/83655180867
UR - https://www.scopus.com/inward/citedby.url?scp=83655180867&partnerID=8YFLogxK
U2 - 10.1109/TCST.2010.2096817
DO - 10.1109/TCST.2010.2096817
M3 - Article
AN - SCOPUS:83655180867
SN - 1063-6536
VL - 20
SP - 223
EP - 231
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 1
M1 - 5688286
ER -