Power system cascading risk assessment based on complex network theory

Wang, Zhuoyang; Hill, David J.; Chen, Guo; Zhang, Dong

doi:10.1016/j.physa.2017.04.031

Cited by 41 publications

(18 citation statements)

References 15 publications

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“…The complex networks approach has been used to explore vulnerability and cascading collapse in several results see [170], [178] and the references within. In [178], a new method for the analysis of the power system vulnerability is proposed. Based on complex network theory and the Max-Flow theorem, a new vulnerability index is adopted to identify the vulnerable lines in a power grid.…”

Section: B New Stability Analysismentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

Self Cite

667

504

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The electric power system is currently undergoing a period of unprecedented changes. Environmental and sustainability concerns lead to replacement of a significant share of conventional fossil fuel-based power plants with renewable energy resources. This transition involves the major challenge of substituting synchronous machines and their well-known dynamics and controllers with power electronics-interfaced generation whose regulation and interaction with the rest of the system is yet to be fully understood. In this article, we review the challenges of such low-inertia power systems, and survey the solutions that have been put forward thus far. We strive to concisely summarize the laidout scientific foundations as well as the practical experiences of industrial and academic demonstration projects. We touch upon the topics of power system stability, modeling, and control, and we particularly focus on the role of frequency, inertia, as well as control of power converters and from the demand-side.

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Section: B New Stability Analysismentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

Self Cite

667

504

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“…This process is usually implemented by removing a node or multiple nodes in the network randomly or deliberately. These strategies have proved useful in the analysis of transportation networks [ 49 , 50 ], power grids [ 51 ], and critical infrastructure networks [ 52 ]. Herein, to prove the usefulness of the proposed multi-layer UAV swarming network for further analysis of robustness, a dynamic topology analysis is conducted by randomly removing a node in succession from the structure layer of the multi-layer networks and the single networks.…”

Section: Case Study Analysis and Discussionmentioning

confidence: 99%

A Complex Network Theory-Based Modeling Framework for Unmanned Aerial Vehicle Swarms

Wang

Zhang

et al. 2018

Sensors

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Unmanned aerial vehicle (UAV) swarms is an emerging technology that will significantly expand the application areas and open up new possibilities for UAVs, while also presenting new requirements for the robustness and reliability of the UAV swarming system. However, its complex and dynamic characteristics make it extremely challenging and uncertain to model such a system. In this study, to reach a full understanding of the swarming system, a modeling framework based on complex network theory is presented. First, the scope of work is identified from the point of view of control algorithms considering the dynamics and research novelty of the development of UAV swarming control strategy and three control structures consisting of three interdependent network layers are proposed. Second, three algorithms that systematically build the modeling framework considering all characteristics of the system are also developed. Finally, some network measurements are introduced by adjusting the fundamental ones into the UAV swarming system. The proposed framework is applied to a case study to illustrate the visualization models and estimate the statistical characteristics of the proposed networks with static and dynamic topology analysis. Furthermore, a simple demonstration of the robustness evaluation of the network is also presented. The networks obtained from this framework can be used to further analyze the robustness or reliability of a UAV swarming system in a high-confrontation battlefield environment the effect of cascading failure in ad-hoc network on system.

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“…In one network, although a number of nodes have the same vulnerability, node removal contributes various influences on the remained components. In literature [4], the node types and their locations are combined to further distinguish the most vulnerable node. If the nodes are in separate single loops, the node in the bigger single loop is more important than that of the smaller one.…”

Section: Evaluation Indexmentioning

confidence: 99%

“…Modern power systems are dynamical systems featured by complexity and nonlinearity. For simplifying the model complexity, the complex network theory and the graph theory are introduced to demonstrate the network dynamics [4]. Besides, the characteristics of complex networks can be used to analyze the impacts on cascading propagation [5].…”

Section: Introductionmentioning

confidence: 99%

Community-Based Link-Addition Strategies for Mitigating Cascading Failures in Modern Power Systems

Lee

2020

Processes

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The propagation of cascading failures of modern power systems is mainly constrained by the network topology and system parameter. In order to alleviate the cascading failure impacts, it is necessary to adjust the original network topology considering the geographical factors, construction costs and requirements of engineering practice. Based on the complex network theory, the power system is modeled as a directed graph. The graph is divided into communities based on the Fast–Newman algorithm, where each community contains at least one generator node. Combined with the islanding characteristics and the node vulnerability, three low-degree-node-based link-addition strategies are proposed to optimize the original topology. A new evaluation index combining with the attack difficulty and the island ratio is proposed to measure the impacts on the network under sequential attacks. From the analysis of the experimental results of three attack scenarios, this study adopts the proposed strategies to enhance the network connectivity and improve the robustness to some extent. It is therefore helpful to guide the power system cascading failure mitigation strategies and network optimization planning.

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Power system cascading risk assessment based on complex network theory

Cited by 41 publications

References 15 publications

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

A Complex Network Theory-Based Modeling Framework for Unmanned Aerial Vehicle Swarms

Community-Based Link-Addition Strategies for Mitigating Cascading Failures in Modern Power Systems

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