On the Dynamics of Transmission Capacity and Load Loss during Cascading Failures in Power Grids

被引：0

作者：

Shuvro, Rezoan A. ^{[1
]}

Das, Pankaz ^{[1
]}

Rahnamay-Naeini, Mahshid ^{[2
]}

Sorrentino, Francesco ^{[3
]}

Hayat, Majeed M. ^{[1
]}

机构：

[1] Marquette Univ, Dept Elect & Comp Engn, Milwaukee, WI 53233 USA

[2] Univ S Florida, Elect Engn Dept, Tampa, FL 33620 USA

[3] Univ New Mexico, Dept Mech Engn, Albuquerque, NM 87131 USA

来源：

PROCEEDINGS OF 2019 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE) | 2019年

基金：

美国国家科学基金会;

关键词：

Cascading failures; load loss; average transmission capacity loss; Monte-Carlo simulations; Markov chain;

D O I：

10.1109/isgteurope.2019.8905451

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, a novel analytical model is proposed to predict the average transmission-capacity loss and load loss during a cascading failure as a function of time and their steady state values. Cascading failures in the power grid are described using a Markov-chain approach, in which the state transition probabilities depend on the number and capacities of the failed lines. The transition matrix is characterized parametrically using Monte Carlo simulations of cascading failures in the power grid. The severity of cascading failure is estimated using two metrics: the expected number of transmission-line failures and the amount of load shedding/load loss (inferred from the average transmission capacity loss) in the steady state. These two metrics provide critical information regarding the severity of a cascading failure in a power grid (in terms of both the distribution of blackout sizes and the amounts of load shedding). One of the benefits of this model is that it enables the understanding of the effect of initial failures and of the operating parameters of the power grid on cascading failures.

引用

页数：5

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