A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System

Sina Gharebaghi; Nilanjan Ray Chaudhuri; Ting He; Thomas La Porta

doi:10.1109/PESGM52003.2023.10252227

A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665464413
DOIs	https://doi.org/10.1109/PESGM52003.2023.10252227
State	Published - 2023
Event	2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States Duration: Jul 16 2023 → Jul 20 2023

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2023-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/Territory	United States
City	Orlando
Period	7/16/23 → 7/20/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PESGM52003.2023.10252227

Cite this

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title = "A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System",

abstract = "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.",

author = "Sina Gharebaghi and Chaudhuri, \{Nilanjan Ray\} and Ting He and Porta, \{Thomas La\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 ; Conference date: 16-07-2023 Through 20-07-2023",

year = "2023",

doi = "10.1109/PESGM52003.2023.10252227",

language = "English (US)",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2023 IEEE Power and Energy Society General Meeting, PESGM 2023",

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Gharebaghi, S, Chaudhuri, NR , He, T & Porta, TL 2023, A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System. in 2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Power and Energy Society General Meeting, vol. 2023-July, IEEE Computer Society, 2023 IEEE Power and Energy Society General Meeting, PESGM 2023, Orlando, United States, 7/16/23. https://doi.org/10.1109/PESGM52003.2023.10252227

A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System. / Gharebaghi, Sina; Chaudhuri, Nilanjan Ray ; He, Ting et al.
2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Computer Society, 2023. (IEEE Power and Energy Society General Meeting; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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

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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PB - IEEE Computer Society

T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023

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ER -

A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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