Probabilistic vulnerability assessment based on power flow and voltage distribution

Ma, Jian; Huang, Zhenyu; Wong, Pak Chung; Ferryman, Thomas A.; Northwest, Pacific

doi:10.1109/tdc.2010.5484304

Cited by 10 publications

(3 citation statements)

References 18 publications

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“…To include realistic uncertainties, such as variations in load demand, a stochastic (probabilistic) load-flow study [219,220] is also considered. For example, [221] develops probability distribution functions for bus voltages and power transmissions over lines to assess how they violate limits. This assessment is done more quantitively in [222].…”

Section: A Flow Based Measuresmentioning

confidence: 99%

Power Grids as Complex Networks: Resilience and Reliability Analysis

Amani

Jalili

2021

IEEE Access

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Power grids are cyber-physical systems and can be modelled as network systems where individual units (generators, busbars and loads) are interconnected through physical and cyber links. Network components (nodes/edges) may undergo intentional and/or random failures. In catastrophic cases, a failure initiating from a small set of these components can quickly propagate through the whole network, leading to a cascade of failures that might force a deep whole-grid blackout. Often network components have different vitality and protecting some is more critical than others. This manuscript aims to provide a focused overview of modelling power grids as complex networks and their resilience and reliability analysis. We also perform a critical review of vitality metrics and their precision in power grid resilience analysis. The review is accompanied by some simulations on benchmark and real power grids to show the applicability of these concepts in studying resilience.

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Section: A Flow Based Measuresmentioning

confidence: 99%

Power Grids as Complex Networks: Resilience and Reliability Analysis

Amani

Jalili

2021

IEEE Access

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“…Therefore, the information regarding how low or how high the system vulnerability can hardly be obtained. It is required to develop a probabilistic method for evaluating the system vulnerability (Ma et al, 2010).…”

Section: Coastal Vulnerability With Probabilistic Approachmentioning

confidence: 99%

“…Among the several existent methods, most are based on the combined use of physical and social data, together with simple numerical models. In turn, most of the available research relies on deterministic approaches, where arbitrary weights are assigned to the variables involved and almost no information is given on uncertainty (Ma et al, 2010). Therefore, accurate and reliable data on coastal vulnerability is hard to obtain.…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Approach to a Coastal Vulnerability Index: A Tool for Coastal Managers

Canul¹,

Mendoza²,

Silva³

2020

Int. Conf. Coastal. Eng.

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Vulnerability assessment is invaluable information for coastal managers to develop better coastal development plans. Two approaches to do so are presented here: one evaluates vulnerability from a deterministic view applying the analytical hierarchy process (AHP); the second uses a probabilistic approach based on the Latin Hypercube and Monte Carlo modeling, therefore it considers the probability distribution functions of the variables under analysis. The results show that a probabilistic approach is more suitable for the assessment of coastal vulnerability.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/WDbsVMYsnJs

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Introduction

Pitilakis

Franchin

2014

SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Systems and Critical Facilities

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Probabilistic vulnerability assessment based on power flow and voltage distribution

Cited by 10 publications

References 18 publications

Power Grids as Complex Networks: Resilience and Reliability Analysis

Power Grids as Complex Networks: Resilience and Reliability Analysis

A Probabilistic Approach to a Coastal Vulnerability Index: A Tool for Coastal Managers

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