An improved model for structural vulnerability analysis of power networks

Chen, Guo; Zhang, Dong; Hill, David J.; Zhang, Guo Hua

doi:10.1016/j.physa.2009.06.041

Cited by 101 publications

(68 citation statements)

References 18 publications

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“…This method originated from graph theory and studies the subject systems from the point of view of structure and dynamic function of an array of nodes and lines without heavily relying on the system dimensionality [3], which makes it very suitable for the analysis of large-scale systems. However, as discussed above, most of the existing literature on this issue [3] and [11][12][13][14][15][16][17][18] rigorously requires that the weight of each link must be known and does not consider the system's controllability, which seriously limits its applications in real systems. Compared with the conventional methods mentioned above, the method in this paper presented a new way to analyze the vulnerability of power systems by considering the system structure controllability, which is suitable to assessing the vulnerability of large-scale power systems as it does not contain complex operations.…”

Section: Case Study 5: Comparison With the Conventional Methodsmentioning

confidence: 99%

“…Recent developments in this field have opened up a new way to power system research. In recent years, there has been an increasing interest in the study of assessing the vulnerability of the power system based on the complex network theory [3,[11][12][13][14][15][16][17][18]. For example, [13] analyzed the structural vulnerability of the North American power grid and concluded that the nodes with high degree play an important role in power systems.…”

Section: Introductionmentioning

confidence: 99%

“…For example, [13] analyzed the structural vulnerability of the North American power grid and concluded that the nodes with high degree play an important role in power systems. Considering the influence of physical topological structure, the concept of betweenness is proposed to identify important nodes or lines in [14][15][16][17]. Additionally, a novel betweenness index was defined in [11], in which the reactance was defined as the weight of the lines.…”

Section: Introductionmentioning

confidence: 99%

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Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Zhang

et al. 2015

Applied Sciences

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This paper proposes a new method for assessing the vulnerability of power systems based on the controllability theories of complex networks. A novel controllability index is established, taking into consideration the full controllability of the power systems, for identifying critical nodes. The network controllability model is used to calculate the minimum number of driver nodes (ND), which can solve the computable problems of the controllability of power systems. The proposed approach firstly applies the network controllability theories to research the power systems' vulnerability, which can not only effectively reveal the important nodes but also maintain full control of the power systems. Meanwhile, the method can also overcome the limitation of the hypothesis that the weight of each link or transmission line must be known compared with the existing literature. In addition, the power system is considered as a directed network and the power system model is also redefined. The proposed methodology is then used to identify critical nodes of the IEEE 118 and 300 bus system. The results show that the failure of the critical nodes can clearly increase ND and lead a significant driver node shift. Thus, the rationality and validity are verified.

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Section: Case Study 5: Comparison With the Conventional Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Zhang

et al. 2015

Applied Sciences

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“…It then allows structural analysis of power grids through pure topological metrics and brings a new analyzing method to overcome the above problems [9,10]. In the theory of CN, Global Efficiency is a metric to measure the efficiency of the network for information transmission between vertices [10] and later is popularly referred to in assessing the vulnerability of power grids [5,[11][12][13][14][15]. Furthermore, with consideration of specific features in electrical engineering, it was updated as net-ability to evaluate power transmission networks [2,4].…”

Section: Introductionmentioning

confidence: 99%

Structural Evaluation for Distribution Networks with Distributed Generation Based on Complex Network

Xue

Zhu³

et al. 2017

Complexity

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Structural analysis based on complex network theory has been considered promising for security issues of power grids. At the same time, modern power distribution networks with more Distributed Generations (DGs) and Energy Storage Systems (ESS) have taken on more challenges in operation and security issues. This paper proposed a dedicated metric named as Power-SupplyAbility for power distribution networks based on net-ability. Special features of DGs, such as relations of capacities, identification of effective supply area, and limitation in continuous power supply, have been considered in definition. Furthermore, a novel opinion is proposed that the extent of improvement for operation and security by adding DGs also depends on the original structure of the distribution networks. This is an inherent ability of the original networks and could be quantitatively analyzed. Through case studies, this method has been proved to be effective in identifying potential structural vulnerabilities of distribution networks; particularly the impact of DGs on security has been studied. Furthermore, it can help in site selection for DGs by providing different priorities of locations compared with results of other works. This can help to complement other methods to construct a more comprehensive methodology by considering aspects of security, economy, and quality.

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“…In recent years, the cooperative control has received considerable attention mainly due to its broad applications to multiagent systems such as the state consensus seeking of multiple mobile vehicles [1][2][3], flocking, rendezvous, and containment in natural and social systems [4][5][6][7][8][9], analysis and control of cyberphysical networks [10], and distributed control and dispatching in smart grids [11][12][13][14][15][16][17]. The cooperative control is an interdisciplinary subject and several researchers from different scientific communities have conducted various research studies concerning the abovementioned applications [2,18].…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Consensus with a Time-Varying Reference State and Switching Topology

Wang¹,

Tian²,

Zhu³

et al. 2017

Complexity

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The finite-time consensus problem in the networks of multiple mobile agents is comprehensively investigated. In order to resolve this problem, a novel nonlinear information exchange protocol is proposed. The proposed protocol ensures that the states of the agents are converged to a weighted-average consensus in finite time if the communication topology is a weighted directed graph with a spanning tree and each strongly connected component is detail-balanced. Furthermore, the proposed protocol is also able to solve the finite-time consensus problem of networks with a switching topology. Finally, computer simulations are presented to demonstrate and validate the effectiveness of the theoretical analysis under the proposed protocol.

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An improved model for structural vulnerability analysis of power networks

Cited by 101 publications

References 18 publications

Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Structural Evaluation for Distribution Networks with Distributed Generation Based on Complex Network

Finite-Time Consensus with a Time-Varying Reference State and Switching Topology

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