TY - GEN
T1 - A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System
AU - Gharebaghi, Sina
AU - Chaudhuri, Nilanjan Ray
AU - He, Ting
AU - Porta, Thomas La
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A new approach called Backward Euler method with Predictor-Corrector (BEM-PC) for simulating cascading failure in dynamic models of power systems was recently proposed. It applied Backward Euler integration method (BEM) with stiff decay property while overcoming its so-called hyperstability issue. The method led to a significant simulation speedup without sacrificing accuracy in tracking cascading path when compared with traditional solution techniques like Trapezoidal integration method (TM). In this paper, we demonstrate that a further speedup can be achieved by a parallelized version of BEM-PC, which we call BEM-PC-parallel (BEM-PCP). In this version, the predictor subprocess of BEM-PC is run in multiple parallel processors for identification of oscillatory instability using eigen-decomposition of the system matrix at post-disturbance unstable equilibria. Monte-Carlo studies on a 2,383-bus Polish system confirm that BEM-PCP is on average 17% faster than BEM-PC and ≈ 40 times as fast as TM while maintaining the same accuracy as BEM-PC.
AB - A new approach called Backward Euler method with Predictor-Corrector (BEM-PC) for simulating cascading failure in dynamic models of power systems was recently proposed. It applied Backward Euler integration method (BEM) with stiff decay property while overcoming its so-called hyperstability issue. The method led to a significant simulation speedup without sacrificing accuracy in tracking cascading path when compared with traditional solution techniques like Trapezoidal integration method (TM). In this paper, we demonstrate that a further speedup can be achieved by a parallelized version of BEM-PC, which we call BEM-PC-parallel (BEM-PCP). In this version, the predictor subprocess of BEM-PC is run in multiple parallel processors for identification of oscillatory instability using eigen-decomposition of the system matrix at post-disturbance unstable equilibria. Monte-Carlo studies on a 2,383-bus Polish system confirm that BEM-PCP is on average 17% faster than BEM-PC and ≈ 40 times as fast as TM while maintaining the same accuracy as BEM-PC.
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U2 - 10.1109/PESGM52003.2023.10252227
DO - 10.1109/PESGM52003.2023.10252227
M3 - Conference contribution
AN - SCOPUS:85174726622
T3 - IEEE Power and Energy Society General Meeting
BT - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PB - IEEE Computer Society
T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Y2 - 16 July 2023 through 20 July 2023
ER -
