TY - GEN
T1 - Power System Resiliency Against Windstorms
T2 - 2022 North American Power Symposium, NAPS 2022
AU - Iswaran, Giritharan Vijay
AU - Vakili, Ramin
AU - Khorsand, Mojdeh
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Power system robustness against high-impact low probability events is becoming a major concern. To depict distinct phases of a system response during these disturbances, an irregular polygon model is derived from the conventional trapezoid model and the model is analytically investigated for transmission system performance, based on which resiliency metrics are developed for the same. Furthermore, the system resiliency to windstorms is evaluated on the IEEE reliability test system (RTS) by performing steady-state and dynamic security assessment incorporating protection modelling and corrective action schemes using the Power System Simulator for Engineering (PSS®E) software. Based on the results of steady-state and dynamic analysis, modified resiliency metrics are quantified. Finally, this paper quantifies the interdependency of operational and infrastructure resiliency as they cannot be considered discrete characteristics of the system.
AB - Power system robustness against high-impact low probability events is becoming a major concern. To depict distinct phases of a system response during these disturbances, an irregular polygon model is derived from the conventional trapezoid model and the model is analytically investigated for transmission system performance, based on which resiliency metrics are developed for the same. Furthermore, the system resiliency to windstorms is evaluated on the IEEE reliability test system (RTS) by performing steady-state and dynamic security assessment incorporating protection modelling and corrective action schemes using the Power System Simulator for Engineering (PSS®E) software. Based on the results of steady-state and dynamic analysis, modified resiliency metrics are quantified. Finally, this paper quantifies the interdependency of operational and infrastructure resiliency as they cannot be considered discrete characteristics of the system.
KW - Dynamic security assessment
KW - extreme weather condition
KW - irregular polygon model
KW - operational and infrastructure resiliency
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U2 - 10.1109/NAPS56150.2022.10012151
DO - 10.1109/NAPS56150.2022.10012151
M3 - Conference contribution
AN - SCOPUS:85147256356
T3 - 2022 North American Power Symposium, NAPS 2022
BT - 2022 North American Power Symposium, NAPS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 October 2022 through 11 October 2022
ER -