Qualifying Transmission Line Significance on Cascading Failures using Cut-sets

Caro-Ruiz, Claudia; Pavas, Andres; Mojica‐Nava, Eduardo; Ma, Jin; Hill, David J.

doi:10.1109/ptc.2019.8810405

Cited by 3 publications

(6 citation statements)

References 22 publications

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“…Considering the results of the previous section and the results in [21], the transmission capacity of edges, the network transmission capacity, and congestion play a central role in the vulnerability of the network to different events triggering cascading failures. In this way, it is interesting to evaluate how the attack impact can be affected by making the capacity value flexible for some edges.…”

Section: Vulnerability For Different Capacity Conditionsmentioning

confidence: 92%

“…This measure is a result of the combination of betweenees centrality and power transfer distribution factors. Finally, the last strategy is the selection of candidates according to the cut-set metric for critical links identification described in [21]. The methodology to obtain attacks for the different target sets (i.e., MDP, random, rich, rich-poor, betweenness, electric betweenness, and flow betweenness) is described in general by simulation Algorithm 1.…”

Section: Vulnerability For Different Capacity Conditionsmentioning

confidence: 99%

“…Electrical and topological metrics are used in the literature to identify targets [17]; however, most of the works are related to single-stage attacks [20]. For sequential attacks, properties such as degree distribution [18] and cut-sets [21] are used. Electrical properties such as power flow, load, and generation placement are also used to identify elements to be attacked according to their relevance in operation [22].…”

Section: Introductionmentioning

confidence: 99%

“…Random search and learning algorithms are used to identify the optimal attack [23], but information for estimating failure probabilities and transitions between states seems to be usually approximated without the use of a specific criterion. In addition, topological information on the network evolution and congestion estimation due to this process can be used to estimate and to identify the target elements that seem to produce more vulnerability of the network to target attacks [20], [21].…”

Section: Introductionmentioning

confidence: 99%

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A MDP-Based Vulnerability Analysis of Power Networks Considering Network Topology and Transmission Capacity

Caro-Ruiz¹,

Al-Sumaiti²,

Rivera³

et al. 2020

IEEE Access

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This paper aims to study the vulnerability of the network to sequential cascading failures attacks where the attack strategy integrates network theory and discounted reward with Markov decision process (MDP) in the target selection process. A control strategy is designed to maximize the attack's long-term expected reward while reducing the attack sequence duration. The attack model identifies the most suitable targets by prediction through a Markov process for predicting the propagation and consequences of the failure. The state transition probabilities through a hidden failure model embedded in an independent edge-dependent network evolution model is estimated. Value iteration algorithms are used to identify targets at every attack stage. Target selection is updated depending on network changes. The results provide an optimal attack strategy based on network congestion with maximum damage, considering congestion as a cascade propagation mechanism. Reward functions based on increasing congestion and immediate power loss are compared. Strategies designed with network congestion as the attack reward function produce more vulnerability of the network to sequential attacks.

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Section: Vulnerability For Different Capacity Conditionsmentioning

confidence: 92%

Section: Vulnerability For Different Capacity Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A MDP-Based Vulnerability Analysis of Power Networks Considering Network Topology and Transmission Capacity

Caro-Ruiz¹,

Al-Sumaiti²,

Rivera³

et al. 2020

IEEE Access

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“…Wen-Li Fan et al proposed an optimal capacity allocation model based on the node importance, and investigated the tradeoff problem between the high robustness against cascading failures and the low costs of the network constructions in power systems [8]. C Caro-Ruiz et al put forward a line vulnerability index based on Cut-Sets (CS) by the Nagamochi-Ibaraki algorithm, and verified the superiority of the proposed index in judging the cascading failure propagation path of the power system [9]. R Sen Biswas et al identified the vulnerable lines according to the saturation cut set after the accident, but this method did not consider the line vulnerability under the normal operation of the system [10].…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of high-speed rail grid-connected system on branch potential energy transfer entropy

Wang

Xiao

et al. 2021

Phys. Scr.

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With the spurt of the high-speed railway construction, vulnerability analysis of the high-speed rail grid-connected system cannot be underestimated, which is helpful to improve the security of power system by preventive effectively. Therefore, we propose a vulnerability evaluation method for the uncertain high-speed rail grid-connected system combining branch potential energy function and information entropy together. Firstly, we construct a probability model of the high-speed rail loads by the nonparametric kernel density estimation method according to the measured data of traction substation. Secondly, we establish a power system vulnerability evaluation model based on the branch potential energy transfer entropy considering the power system state variables such as voltage magnitudes, voltage phase angles and power flows. Finally, the simulations on the IEEE-39 bus system and an actual power system in China show that the transmission line connecting the two regions is more vulnerable subjected to the influence of the high-speed rail loads, and the grid-connected points of the high-speed rail loads close to the generator help to reduce the output of the balance generator. These provides auxiliary suggestions for the rationalization of grid-connected location of high-speed rail load, and has certain practical application values.

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