Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation

Younesi, Abdollah; Shayeghi, Hossein; Safari, Amin; Siano, Pierluigi

doi:10.1016/j.energy.2020.118220

Cited by 71 publications

(28 citation statements)

References 33 publications

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“…That is, according to the disaster data over the years and the early warning information by the Meteorological Bureau and the Seismological Bureau, the type, location, probability, grade, damage intensity and scope of extreme disasters may be predicted in advance. The emergency plan and response measures for the impending disasters can be formulated in advance to minimising the potential damage [47][48][49].…”

Section: Per-event Phase (0∼t 0 )mentioning

confidence: 99%

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Resilience assessment methodologies and enhancement strategies of multi‐energy cyber‐physical systems of the distribution network

Yang

Liu

et al. 2022

IET Energy Syst Integration

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Natural disasters and cyber intrusions threaten the normal operation of the critical Multi‐Energy Systems (MESs) infrastructures. There is still no universally‐accepted definition of MESs resilience under the integration of cyber and physical, and lack of a widely accepted methodology to quantify and assess the resilience in MESs. Hence, this paper introduces an extensive review of the state‐of‐the‐art research of power systems’ resilience. Then, this work proposes the definition of the Multi‐Energy Cyber‐Physical Systems (MECPSs) resilience and its related characteristics. To improve the resilience of MECPSs, this paper investigates extreme natural disaster models and analyses the vulnerability of the system to find the key constraint factors. Furthermore, this work presents the qualitative assessment curve, quantitative indexes, and assessment framework of the MECPSs resilience. Finally, the key improvement measures for the planning and operation of MECPSs resilience and the focus of future research are presented.

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Section: Per-event Phase (0∼t 0 )mentioning

confidence: 99%

“…The resilience qualitative assessment curves have been studied carefully in Ref. [4, 10, 23, 38, 44, 47, 49–51, 57, 63–66, 124–130].…”

Section: Mecpss Resilience Assessment and Processmentioning

confidence: 99%

Resilience assessment methodologies and enhancement strategies of multi‐energy cyber‐physical systems of the distribution network

Yang

Liu

et al. 2022

IET Energy Syst Integration

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“…The effectiveness of the proposed model was demonstrated using a large-scale microgrid testbed. [157] adopted Monte Carlo simulation modeling to assess the impacts of microgrids on the resilience of power systems to extreme events. A comprehensive review of strategies to use microgrids for resilience enhancement of power systems can be found in [158].…”

Section: B Energy Contingency Plansmentioning

confidence: 99%

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

et al. 2021

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Wildfires pose a significant challenge to the natural and the built environments, as well as the safety and economic wellbeing of the communities residing in wildfire-prone areas. The electric power grid is specifically among the built environments most affected by, and contributing to, wildfires. In this paper, we propose a three lines of defense (3LD) framework for wildfire risk management in electric power infrastructure and review the literature from this lens. An overview of the physics and phenomenology of the wildfires as it relates to power grids is presented, and the logic for the proposed 3LD framework is discussed. The reviewed literature based on the 3LD theme includes the most relevant and emerging research work on wildfire prevention as the first line of defense, wildfire mitigation and proactive response as the second line of defense, and wildfire recovery preparedness as the third line of defense. This study reveals that while the state of the art, to a large extent, stands comprehensive in various aspects of power system resilience and wildfire risk management, there is a gap in the literature in addressing this emerging risk in a holistic, interdisciplinary approach.

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“…In the scientific literature, it is possible to find a large number of research papers proposing novel power system resilience metrics. Among the most notable may be those carried out by Patriarca et al, who presented a simulation model combined with simple metrics that focus on a system's resilience at a technical level, represented through absorption, adaptation, and recovery [34]; those conducted by Mishra et al, who developed a framework for demonstrating resilience enhancement through the utilization of multimicrogrids and mobile energy storage in extreme operating conditions [35]; the research undertaken by Amirioun et al, who provided a quantitative framework for assessing microgrid resilience in response to high-impact, low-probability windstorms [36]; and the investigation conducted by Younesi, who assessed the resilience of a large-scale multimicrogrid-based power system to cope with the wide-area natural disasters with severe destructive effects [37].…”

Section: Introductionmentioning

confidence: 99%

Resilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customers

et al. 2022

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One of the main objectives of new operating regimes, such as transactional power systems, is to make the power grid more resilient to catastrophes and disturbances, while at the same time making it possible to supply electricity to the largest number of customers. Although this is true, it is well known among power system operators that not all customers are the same. The consequence of this is that any discussion around the impact of transactional power systems on power system resilience should consider the needs of its critical users (such as control centers, fire stations, and hospitals) over other users. In assessing power system resilience, a metric is needed that gives “bonus points” to those systems that, under all circumstances, can continue to provide electricity to their critical users. In order to serve as a parameter in the assessment of power grid resilience, the research presented here discusses the proportion of critical loads existing in critical infrastructures. Once the critical loads are characterized, the next step is the inclusion of these loads in resilience metrics. This paper proposes resiliency metrics in which certain customers (those categorized as critical) are assigned a higher weight than others. One thing to keep in mind is the fact that there is no one-size-fits-all approach for all power systems, and that the assignment of such weights to customers can vary significantly from one operator to another based on their unique systems and the current and expected states of their critical customers.

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Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation

Cited by 71 publications

References 33 publications

Resilience assessment methodologies and enhancement strategies of multi‐energy cyber‐physical systems of the distribution network

Resilience assessment methodologies and enhancement strategies of multi‐energy cyber‐physical systems of the distribution network

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

Resilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customers

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