TY - GEN
T1 - Adaptive packet dropout compensator for wide-area damping control
T2 - 2019 American Control Conference, ACC 2019
AU - Yogarathinam, Amirthagunaraj
AU - Chaudhuri, Nilanjan Ray
N1 - Funding Information:
*This work is financial support by NSF under grant award CNS 1657024. The authors are with the School of Electrical Engineering & Computer Science, The Pennsylvania State University, University Park, PA 16802, USA. (e-mail:axy43@psu.edu, nuc88@engr.psu.edu)
Publisher Copyright:
© 2019 American Automatic Control Council.
PY - 2019/7
Y1 - 2019/7
N2 - Wide-Area Measurement and Control Systems (WAMCSs) will have a significant impact on a smart power grid implementation to enhance the power system stability. The dynamic performance of such WAMCSs can significantly deteriorate in presence of data dropout in the remote feedback signals from Phasor Measurement Units. Consideration of such an issue is important for any networked control system for ensuring efficient and reliable operation. To that end, in this paper, a new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed for wide-area damping control using multiple doubly fed induction generator-based wind farms to mitigate the issue of packet dropout with multiple feedback signals. In this context, the concepts of cyber-physical self-coupling and cross-coupling are introduced and their impact on deterioration of closed-loop performance with data dropout is quantified through an analytical derivation. A framework for stability analysis of MIMO-ORC architecture is also presented. Finally, time-domain simulations show superiority of the proposed approach over its single-input single-output (SISO) ORC counterpart in a WAMCS for power grid.
AB - Wide-Area Measurement and Control Systems (WAMCSs) will have a significant impact on a smart power grid implementation to enhance the power system stability. The dynamic performance of such WAMCSs can significantly deteriorate in presence of data dropout in the remote feedback signals from Phasor Measurement Units. Consideration of such an issue is important for any networked control system for ensuring efficient and reliable operation. To that end, in this paper, a new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed for wide-area damping control using multiple doubly fed induction generator-based wind farms to mitigate the issue of packet dropout with multiple feedback signals. In this context, the concepts of cyber-physical self-coupling and cross-coupling are introduced and their impact on deterioration of closed-loop performance with data dropout is quantified through an analytical derivation. A framework for stability analysis of MIMO-ORC architecture is also presented. Finally, time-domain simulations show superiority of the proposed approach over its single-input single-output (SISO) ORC counterpart in a WAMCS for power grid.
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U2 - 10.23919/acc.2019.8815087
DO - 10.23919/acc.2019.8815087
M3 - Conference contribution
AN - SCOPUS:85072291718
T3 - Proceedings of the American Control Conference
SP - 1942
EP - 1948
BT - 2019 American Control Conference, ACC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 July 2019 through 12 July 2019
ER -