Revealing cascading failure vulnerability in power grids using risk-graph

Zhu, YinBo; Yan, Jun; Sun, Yan; He, Haibo

doi:10.1109/tpds.2013.2295814

Cited by 141 publications

(82 citation statements)

References 20 publications

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“…The CN community, including part of the electrical engineering community [91], argue that the CN approach does not aim to reflect the detailed operation of a given grid, but to discover the possible emergence of a systemic or collective behavior, beyond that of its single components. This is supported by a number of high-impact works [86,[92][93][94][95][96][97]. An interesting example of its feasibility is the appearance of synchronization in smart grids [36].…”

Section: Discussion: Is the Cn Approach Useful In Power Grids?mentioning

confidence: 94%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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Abstract:In this work, we describe an approach that allows for optimizing the structure of a smart grid (SG) with renewable energy (RE) generation against abnormal conditions (imbalances between generation and consumption, overloads or failures arising from the inherent SG complexity) by combining the complex network (CN) and evolutionary algorithm (EA) concepts. We propose a novel objective function (to be minimized) that combines cost elements, related to the number of electric cables, and several metrics that quantify properties that are beneficial for SGs (energy exchange at the local scale and high robustness and resilience). The optimized SG structure is obtained by applying an EA in which the chromosome that encodes each potential network (or individual) is the upper triangular matrix of its adjacency matrix. This allows for fully tailoring the crossover and mutation operators. We also propose a domain-specific initial population that includes both small-world and random networks, helping the EA converge quickly. The experimental work points out that the proposed method works well and generates the optimum, synthetic, small-world structure that leads to beneficial properties such as improving both the local energy exchange and the robustness. The optimum structure fulfills a balance between moderate cost and robustness against abnormal conditions. Our approach should be considered as an analysis, planning and decision-making tool to gain insight into smart grid structures so that the low level detailed design is carried out by using electrical engineering techniques.

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Section: Discussion: Is the Cn Approach Useful In Power Grids?mentioning

confidence: 94%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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show abstract

“…So, it is more suitable using weighted entropy method to identify the vulnerable lines. For example, if only considering the structure importance, the vulnerability of the line 6 breaks, the generators 33,34 will be off-grid, which will bring dangers to the system balance. As shown in Table 1, the vulnerability of the 16 19  is much higher than that of the 6 11  breaks, which means, vulnerable line identification based on weighted entropy model proposed in this paper can more fully identify vulnerable line by considering the influence to the flow transfer margin and grid structure changes.…”

Section: Identification Of Vulnerable Lines In Ieee 39-bus Systemmentioning

confidence: 99%

“…Recently, several typical methods on vulnerability identification have been researched, including probabilistic methodology [4], fault chain theory [5], risk graph theory [6], complex network theory [7][8], entropy theory [9]. According to the main modeling ideas, they can be divided into two methods.…”

Section: Introductionmentioning

confidence: 99%

Hydrogen Energy paper 16

2018

Proceeding of 2018 the Fourth International Symposium on Hydrogen Energy, Renewable Energy and Materials

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Abstract. Vulnerable lines have serious impacts on large scale blackouts and cascading failures in power grid. With the integration of large scale wind power into power grid, both the topology structure and the distribution characteristics of power flow in power grid have undergone various changes, which leads great influences on the transmission line vulnerability. A comprehensive scheme to identify study transmission line vulnerability based on the weighted entropy analysis method is proposed in this paper. In this scheme, an assessment index, named incremental power flow entropy, is given firstly, which is used to describe the influence caused by variation of transmission lines themselves capability of carrying power flow transfer on lines vulnerability under the same aggregation level. And the other assessment index, named structural importance, is given to describe the structural changes of power grid caused by the integration of wind power. The two assessment indexes are then merged into one index by using entropy weight analysis method, which can assess the vulnerability of the lines from the two aspects of the power flow transmission and structural link. Vulnerability analysis under different situation, such as with and without the integration of the wind farm, the sharp fluctuation of wind speed in the wind farm, are carried out on the IEEE 39-bus system integrated with a 75MW wind farm, the simulation results verify that the proposed assessment index can not only identify the vulnerable line in power grid with wind farm integration, but also accurately reflect the vulnerability of the internal lines of the wind farm itself.

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“…Given their importance, the robustness of communication networks has attracted much attention in recent years. Previous studies [3], [4] have found that cascading failures are very common in complex networks. Owing to the heterogeneity of the network and the interaction of different parts, even a single failure can cause the entire network to collapse.…”

Section: Introductionmentioning

confidence: 96%

Model of Cascading Failures for Communication Networks

Zhu¹,

Liu²,

Yu³

et al. 2016

IJCCE

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Abstract:Communication networks play such a critical role in modern society that any failures in these networks are intolerable. In this study, we focus on the influence of network congestion and build a model to study the dynamics of cascading failures in communication networks. Investigation of the relationship between the initial allocation of efficiency among edges and the damage caused by cascading failures shows that a higher initial efficiency may lead to more severe consequence in case of cascading failures. We also investigate the influence of the size of the router's buffer. Because the correct buffer size can alleviate network congestion to some extent, it is able to enhance the robustness of the network against cascading failures.

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Revealing cascading failure vulnerability in power grids using risk-graph

Cited by 141 publications

References 20 publications

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

Hydrogen Energy paper 16

Model of Cascading Failures for Communication Networks

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