TY - GEN
T1 - Data packet-drop-resilient wide-area damping control using DFIG-based wind farm
AU - Yogarathinam, Amirthagunaraj
AU - Chaudhuri, Nilanjan Ray
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/17
Y1 - 2016/11/17
N2 - In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.
AB - In this paper a novel Observer-driven Reduced Copy (ORC) approach is proposed to deal with communication network data-dropouts in a smart power grid with large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources, which uses knowledge of the nominal system dynamics during data dropouts to improve the damping performance under large disturbances, where the conventional feedback would suffer. To that end a reduced order 16-machine 5-area dynamic equivalent model of the New England-New York power system with replacement of one existing synchronous generator and a power system stabilizer (PSS) by a DFIG-based wind farm (WF) is considered. The problem with electromechanical oscillation damping control through WFs using locally available signals is identified and a systematic approach for selection of control input and remote feedback signals through modal analysis is presented. The remote feedback signals sent through communication channels encounter data dropout which is represented by the Gilbert-Elliott model. Moreover, an expression for the bound on the error norm between the actual and the estimated states relating data dropout and model mismatch is also derived. Nonlinear time-domain simulations demonstrate that the ORC gives significantly better performance compared to the conventional feedback under higher data drop situations.
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U2 - 10.1109/NAPS.2016.7747880
DO - 10.1109/NAPS.2016.7747880
M3 - Conference contribution
AN - SCOPUS:85006827357
T3 - NAPS 2016 - 48th North American Power Symposium, Proceedings
BT - NAPS 2016 - 48th North American Power Symposium, Proceedings
A2 - Gao, David Wenzhong
A2 - Zhang, Jun
A2 - Khodaei, Amin
A2 - Muljadi, Eduard
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th North American Power Symposium, NAPS 2016
Y2 - 18 September 2016 through 20 September 2016
ER -