Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather

Bessani, Michel; Massignan, Julio A. D.; Fanucchi, Rodrigo Z.; Camillo, Marcos H. M.; London, João Bosco Augusto; Delbem, Alexandre Cláudio Botazzo; Maciel, Carlos Dias

doi:10.1109/jsyst.2018.2853554

Cited by 64 publications

(25 citation statements)

References 34 publications

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“…It monitors significant deviations in real‐time synchrophasor measurement and records it with high accuracy. This high‐speed monitoring avoids data reporting lag and enables overall better visibility to record grid events 7 . Application of synchrophasor in enhancing power system resilience enables easy and fast transfer of vital data that falls into three major categories (1) real‐time monitoring, (2) disruption mitigation, and (3) non‐network centric framework 27,28 .…”

Section: Evolution Of Resilience In Distribution System Based On Synchrophasor Technologymentioning

confidence: 99%

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Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

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Summary The gradual sprawl of power system toward smart grid and enhanced integration of distributed energy resources at the distribution end is transforming the conventional distribution system and is eventually making it self‐sustained. The distribution system is thus continuously evolving to prepare itself for any unforeseen natural, man‐made, and complex events. These events may impact the distribution system as high‐impact low‐frequency (HILF) scenarios. The high intensity and widespread damage of the power system due to HILF scenarios necessitate resilience. Resilience analysis aims to identify these region‐specific vulnerabilities of the electricity network and implement appropriate methods to quickly restore the system to its predisturbance state. Further to enhance the network visibility and situational awareness, integration of synchrophasor to resilience is significant. Therefore, synchrophasor technology integrated with resilience provides online wide area visibility of the distribution system. Using synchrophasor for resilience assessment propels an agile network for coordinating accurate and timely analysis of the system parameters. Therefore, understanding the concept of resilience, its evolution, detailed overview, synchrophasor‐based resilience (SBR) methods as well as its applications are necessary. This article outlines the key points of the synchrophasor technology based resilience technique, its significance, and lays a foundation for continuing research in this area. It offers detailed insight into the comprehensive review of this evolving concept. The article majorly focuses on all the aspects of SBR, its necessity in performance evaluation, synchrophasor measurement based resilience enhancement methods, and application of different SBR techniques in the distribution system. A detailed comparative analysis of SBR features, sample efficiency, result accuracy, merits, and demerits based on available literature is provided. Finally, future perspectives are discussed for implementing resilience assessment using synchrophasor technology in the distribution system.

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Section: Evolution Of Resilience In Distribution System Based On Synchrophasor Technologymentioning

confidence: 99%

“…As many as 90% interruptions experienced by the customer are due to weather phenomena. In 7 distribution system resilience under different weather scenarios using time‐to‐event models is assessed. Matrix based approach and probabilistic metrics quantify the operational resilience due to HILF events.…”

Section: Introductionmentioning

confidence: 99%

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

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“…Among the high‐impact events that can cause such disruptions [13], severe weather events have great destructive potential [14]. A procedure to investigate the effects of disruptive events is the evaluation of power distribution systems resilience [13, 15].…”

Section: Introductionmentioning

confidence: 99%

“…Resilience can be investigated as in [15], where scenarios were used to perform a probabilistic assessment of power distribution systems resilience considering the effect of weather on failures probabilities. In this study, resilience is quantified by the performance degradation and resilience reduction due to extreme weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Stochastic indexes for power distribution systems resilience analysis

Fanucchi¹,

Bessani

Camillo³

et al. 2019

IET Generation, Transmission & Distribution

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“…The construction of a Weibull model for reliability analysis for a DSs associated with climatic events is very interesting for reliability engineering because time to event models is necessary to estimation of reliability indicators such as System Average Interruption Duration Index (SAIDI), System Average Interruption Frequency Index (FAIDI) (Alvehag and Söder, 2011) and resilience indices (Bessani et al, 2018;Panteli et al, 2017). This model can be useful for decision making in the electric power distribution system management, such as maintenance crew allocation, reducing risks and costs improving the performance of the system and studies for contingencies plans (Menon et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Survival analysis of Electrical Power Distribution systems using Weibull Regression

Fogliatto

Santos

Bessani

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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Critical infrastructures are systems present in our society, which interfere in several ways when they do not operate in their normal conditions. Electric Power Distribution systems are an example of critical infrastructure, and therefore, the study of the common factors that affect their performance has great relevance. The concept of time to event (Lifetime Data Analysis) makes it possible to use survival analyses to estimate the influence of different dangers on the reliability of systems. A Weibull distribution was used to implement a Weibull regression, using climate data and information about failures of a Brazilian Electrical Power Distribution System, allowing verification of how climatic events impact this type of critical infrastructure. The results presented describes the failure chance given certain climatic conditions, indicating the effect of such exogenous covariates. With greater awareness of potential threats, the reliability of the system can be incresead by better planning and for threats mitigation.

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Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather

Cited by 64 publications

References 34 publications

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Stochastic indexes for power distribution systems resilience analysis

Survival analysis of Electrical Power Distribution systems using Weibull Regression

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