Research output: Scientific - peer-review › Letter

**Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models.** / Cetinay-Iyicil, Hale; Soltan, Saleh; Kuipers, Fernando A.; Zussman, Gil; Van Mieghem, Piet.

Research output: Scientific - peer-review › Letter

Cetinay-Iyicil, H, Soltan, S, Kuipers, FA, Zussman, G & Van Mieghem, P 2017, 'Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models' *ACM SIGMETRICS Performance Evaluation Review*, vol 45, no. 3, pp. 198-203. DOI: 10.1145/3199524.3199559

Cetinay-Iyicil, H., Soltan, S., Kuipers, F. A., Zussman, G., & Van Mieghem, P. (2017). Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models. *ACM SIGMETRICS Performance Evaluation Review*, *45*(3), 198-203. DOI: 10.1145/3199524.3199559

Cetinay-Iyicil H, Soltan S, Kuipers FA, Zussman G, Van Mieghem P. Analyzing Cascading Failures in Power Grids under the AC and DC Power Flow Models. ACM SIGMETRICS Performance Evaluation Review. 2017;45(3):198-203. Available from, DOI: 10.1145/3199524.3199559

@article{67893e67e313413e962399c76cc3c4a8,

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",

volume = "45",

pages = "198--203",

journal = "ACM SIGMETRICS Performance Evaluation Review",

issn = "0163-5999",

number = "3",

}

TY - JOUR

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

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

VL - 45

SP - 198

EP - 203

JO - ACM SIGMETRICS Performance Evaluation Review

T2 - ACM SIGMETRICS Performance Evaluation Review

JF - ACM SIGMETRICS Performance Evaluation Review

SN - 0163-5999

IS - 3

ER -

ID: 45109803