TY - GEN
T1 - Adaptive Model Reduction for Parareal in Time Method for Transient Stability Simulations
AU - Osipov, Denis
AU - Duan, Nan
AU - Dimitrovski, Aleksandar
AU - Allu, Srikanth
AU - Simunovic, Srdjan
AU - Sun, Kai
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - Real time or faster than real time simulation can enable system operators to foresee the effect of crucial contingencies on the power system dynamics and take timely actions to prevent system instability. Parareal in time method uses concurrent computations on different segments of the time domain of interest to speed up the dynamic simulations. This paper describes the application of an adaptive nonlinear model reduction method in improving computational speed of the Parareal solver. The proposed method adaptively switches between a hybrid system with selective linearization and a completely linear system based on the size of a disturbance. The functions in the hybrid system are linearized based on the electrical distance between specific generators and the area where disturbances originated. The proposed method is tested on the 327-machine 2383-bus Polish system.
AB - Real time or faster than real time simulation can enable system operators to foresee the effect of crucial contingencies on the power system dynamics and take timely actions to prevent system instability. Parareal in time method uses concurrent computations on different segments of the time domain of interest to speed up the dynamic simulations. This paper describes the application of an adaptive nonlinear model reduction method in improving computational speed of the Parareal solver. The proposed method adaptively switches between a hybrid system with selective linearization and a completely linear system based on the size of a disturbance. The functions in the hybrid system are linearized based on the electrical distance between specific generators and the area where disturbances originated. The proposed method is tested on the 327-machine 2383-bus Polish system.
KW - Adaptive model reduction
KW - Parareal in time
KW - Power system dynamics
KW - Power system stability
KW - Real time simulation
UR - http://www.scopus.com/inward/record.url?scp=85060775086&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2018.8585841
DO - 10.1109/PESGM.2018.8585841
M3 - Conference contribution
AN - SCOPUS:85060775086
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 10 August 2018
ER -