Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models

Hale Cetinay-Iyicil; Saleh Soltan; Fernando A. Kuipers; Gil Zussman; Piet Van Mieghem

doi:10.1145/3199524.3199559

Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models

Hale Cetinay-Iyicil, Saleh Soltan, Fernando A. Kuipers, Gil Zussman, Piet Van Mieghem

Research output: Contribution to journal › Letter › Scientific › peer-review

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Abstract

In this paper, we study cascading failures in power grids under the nonlinear AC and linearized DC power flow models. We numerically compare the evolution of cascades after single line failures under the two flow models in four test networks. The cascade simulations demonstrate that the assumptions underlying the DC model (e.g., ignoring power losses, reactive power flows, and voltage magnitude variations) can lead to inaccurate and overly optimistic cascade predictions. Particularly, in large networks the DC model tends to overestimate the yield (the ratio of the demand supplied at the end of the cascade to the initial demand). Hence, using the DC model for cascade prediction may result in a misrepresentation of the gravity of a cascade.

Original language	English
Pages (from-to)	198-203
Number of pages	6
Journal	ACM SIGMETRICS Performance Evaluation Review
Volume	45
Issue number	3
DOIs	https://doi.org/10.1145/3199524.3199559
Publication status	Published - 2017
Event	IFIP WG 7.3 Performance 2017: 35th International Symposium on Computer Performance, Modeling, Measurements and Evaluation - Columbia University, New York, United States Duration: 13 Jan 2017 → 17 Nov 2017 Conference number: 35 http://performance17.cs.columbia.edu/

Keywords

Power grids
AC versus DC
power flows
cascading failures
contingency analysis

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10.1145/3199524.3199559

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title = "Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models",

abstract = "In this paper, we study cascading failures in power grids under the nonlinear AC and linearized DC power flow models. We numerically compare the evolution of cascades after single line failures under the two flow models in four test networks. The cascade simulations demonstrate that the assumptions underlying the DC model (e.g., ignoring power losses, reactive power flows, and voltage magnitude variations) can lead to inaccurate and overly optimistic cascade predictions. Particularly, in large networks the DC model tends to overestimate the yield (the ratio of the demand supplied at the end of the cascade to the initial demand). Hence, using the DC model for cascade prediction may result in a misrepresentation of the gravity of a cascade.",

keywords = "Power grids, AC versus DC, power flows, cascading failures, contingency analysis",

author = "Hale Cetinay-Iyicil and Saleh Soltan and Kuipers, {Fernando A.} and Gil Zussman and {Van Mieghem}, Piet",

year = "2017",

doi = "10.1145/3199524.3199559",

language = "English",

volume = "45",

pages = "198--203",

journal = "ACM SIGMETRICS Performance Evaluation Review",

issn = "0163-5999",

publisher = "Association for Computing Machinery (ACM)",

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url = "http://performance17.cs.columbia.edu/",

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T1 - Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models

AU - Cetinay-Iyicil, Hale

AU - Soltan, Saleh

AU - Kuipers, Fernando A.

AU - Zussman, Gil

AU - Van Mieghem, Piet

N1 - Conference code: 35

PY - 2017

Y1 - 2017

N2 - In this paper, we study cascading failures in power grids under the nonlinear AC and linearized DC power flow models. We numerically compare the evolution of cascades after single line failures under the two flow models in four test networks. The cascade simulations demonstrate that the assumptions underlying the DC model (e.g., ignoring power losses, reactive power flows, and voltage magnitude variations) can lead to inaccurate and overly optimistic cascade predictions. Particularly, in large networks the DC model tends to overestimate the yield (the ratio of the demand supplied at the end of the cascade to the initial demand). Hence, using the DC model for cascade prediction may result in a misrepresentation of the gravity of a cascade.

AB - In this paper, we study cascading failures in power grids under the nonlinear AC and linearized DC power flow models. We numerically compare the evolution of cascades after single line failures under the two flow models in four test networks. The cascade simulations demonstrate that the assumptions underlying the DC model (e.g., ignoring power losses, reactive power flows, and voltage magnitude variations) can lead to inaccurate and overly optimistic cascade predictions. Particularly, in large networks the DC model tends to overestimate the yield (the ratio of the demand supplied at the end of the cascade to the initial demand). Hence, using the DC model for cascade prediction may result in a misrepresentation of the gravity of a cascade.

KW - Power grids

KW - AC versus DC

KW - power flows

KW - cascading failures

KW - contingency analysis

U2 - 10.1145/3199524.3199559

DO - 10.1145/3199524.3199559

M3 - Letter

SN - 0163-5999

VL - 45

SP - 198

EP - 203

JO - ACM SIGMETRICS Performance Evaluation Review

JF - ACM SIGMETRICS Performance Evaluation Review

IS - 3

T2 - IFIP WG 7.3 Performance 2017

Y2 - 13 January 2017 through 17 November 2017

ER -

Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models

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Keywords

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