Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts

Brugnetti, Ennio; Coletta, Guido; De, Fabrizio; Vaccaro, Alfredo; Villacci, D.

doi:10.3390/en13133501

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…While governmental meteorological offices play a key role in this domain, there is a possibility to improve the performance by integrating data-driven techniques ("Big Data"). These forecasting activities are critical in the operation of renewable sources like wind and solar [17].…”

Section: Pre-disturbance: Planning and Preventive Aspects Of Resiliencementioning

confidence: 99%

Methods for Analysis and Quantification of Power System Resilience

Stanković

Tomsovic

et al. 2023

IEEE Trans. Power Syst.

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This paper summarizes the report prepared by an IEEE PES Task Force. Resilience is a fairly new technical concept for power systems, and it is important to precisely delineate this concept for actual applications. As a critical infrastructure, power systems have to be prepared to survive rare but extreme incidents (natural catastrophes, extreme weather events, physical/cyber-attacks, equipment failure cascades, etc.) to guarantee power supply to the electricity-dependent economy and society. Thus, resilience needs to be integrated into planning and operational assessment to design and operate adequately resilient power systems. Quantification of resilience as a key performance indicator is important, together with costs and reliability. Quantification can analyze existing power systems and identify resilience improvements in future power systems. Given that a 100% resilient system is not economic (or even technically achievable), the degree of resilience should be transparent and comprehensible. Several gaps are identified to indicate further needs for research and development.

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Section: Pre-disturbance: Planning and Preventive Aspects Of Resiliencementioning

confidence: 99%

Methods for Analysis and Quantification of Power System Resilience

Stanković

Tomsovic

et al. 2023

IEEE Trans. Power Syst.

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“…The UK Energy Research Center defined the resilience of energy system as the "capacity of an energy system to tolerate disturbance and to continue to deliver affordable energy services to consumers. A resilient energy system can speedily recover from shocks and can provide alternative means of satisfying energy service needs in the event of changed external circumstances" [122].…”

Section: How Is the Term "Resilience" Defined In The Discipline Of Technological Ciss?mentioning

confidence: 99%

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

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Risk management is a fundamental approach to improving critical infrastructure systems’ safety against disruptive events. This approach focuses on designing robust critical infrastructure systems (CISs) that could resist disruptive events by minimizing the possible events’ probability and consequences using preventive and protective programs. However, recent disasters like COVID-19 have shown that most CISs cannot stand against all potential disruptions. Recently there is a transition from robust design to resilience design of CISs, increasing the focus on preparedness, response, and recovery. Resilient CISs withstand most of the internal and external shocks, and if they fail, they can bounce back to the operational phase as soon as possible using minimum resources. Moreover, in resilient CISs, early warning enables managers to get timely information about the proximity and development of distributions. An understanding of the concept of resilience, its influential factors, and available evaluation and analyzing tools are required to have effective resilience management. Moreover, it is important to highlight the current gaps. Technological resilience is a new concept associated with some ambiguity around its definition, its terms, and its applications. Hence, using the concept of resilience without understanding these variations may lead to ineffective pre- and post-disruption planning. A well-established systematic literature review can provide a deep understanding regarding the concept of resilience, its limitation, and applications. The aim of this paper is to conduct a systematic literature review to study the current research around technological CISs’ resilience. In the review, 192 primary studies published between 2003 and 2020 are reviewed. Based on the results, the concept of resilience has gradually found its place among researchers since 2003, and the number of related studies has grown significantly. It emerges from the review that a CIS can be considered as resilient if it has (i) the ability to imagine what to expect, (ii) the ability to protect and resist a disruption, (iii) the ability to absorb the adverse effects of disruption, (iv) the ability to adapt to new conditions and changes caused by disruption, and (v) the ability to recover the CIS’s normal performance level after a disruption. It was shown that robustness is the most frequent resilience contributing factor among the reviewed primary studies. Resilience analysis approaches can be classified into four main groups: empirical, simulation, index-based, and qualitative approaches. Simulation approaches, as dominant models, mostly study real case studies, while empirical methods, specifically those that are deterministic, are built based on many assumptions that are difficult to justify in many cases.

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“…These probability curves can be derived from local long-term statistical analysis. This framework can help to make the power grids proactively resilient against high-impact lowprobability extreme weather events [189,190]. It can also help to optimise capital investments in resilient power networks [191,192].…”

Section: B Resilience Of Power Gridsmentioning

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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Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts

Cited by 7 publications

References 19 publications

Methods for Analysis and Quantification of Power System Resilience

Methods for Analysis and Quantification of Power System Resilience

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

Power Grids as Complex Networks: Resilience and Reliability Analysis

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