A Resilience Assessment Framework for Distribution Systems Under Typhoon Disasters

Wang, Yuantao; Huang, Tianen; Li, Xiang; Tang, Jian; Wu, Zhenjie; Mo, Yajun; Xue, Lin; Zhou, Yixi; Niu, Tao; Sun, Sicong

doi:10.1109/access.2021.3128967

Cited by 22 publications

(9 citation statements)

References 22 publications

(24 reference statements)

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“…To address this problem, the software packages utilized in this study are the YALMIP and CPLEX packages, which are employed to solve the optimization tasks. Regarding challenges, this paper did not specifically investigate the effects of interactions between adjacent lines in the distribution network [28]. Recently, the world was again shaken by another extreme weather event (i.e., wildfires).…”

Section: Arab Et Al [29]mentioning

confidence: 99%

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

Kasimalla,

Park,

Zaboli

et al. 2024

Sustainability

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Natural disasters pose significant threats to power distribution systems, intensified by the increasing impacts of climate changes. Resilience-enhancement strategies are crucial in mitigating the resulting social and economic damages. Hence, this review paper presents a comprehensive exploration of weather management strategies, augmented by recent advancements in machine learning algorithms, to show a sustainable resilience assessment. By addressing the unique challenges posed by diverse weather conditions, we propose flexible and intelligent solutions to navigate disaster complications effectively. This proposition emphasizes sustainable practices that not only address immediate disaster complications, but also prioritize long-term resilience and adaptability. Furthermore, the focus extends to mitigation strategies and microgrid technologies adapted to distribution systems. Through statistical analysis and mathematical formulations, we highlight the critical role of these advancements in mitigating severe weather conditions and ensuring the system reliability.

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Section: Arab Et Al [29]mentioning

confidence: 99%

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

Kasimalla,

Park,

Zaboli

et al. 2024

Sustainability

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show abstract

“…The resilience assessments focusing on the action before the event occurrence fall within the planning category, which, in turn, are further subdivided into the long-term and short-term (i.e., also known as preventive measures) [15,16,21,27,36,37,39,40,51].…”

Section: A Planning Assessmentsmentioning

confidence: 99%

A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Serrano-Fontova,

Li,

Liao

et al. 2023

IEEE Access

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Over the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on power systems. Some resilience studies have taken advantage of the so-called fragility curves (FCs) to evaluate the vulnerability of the system components against these natural hazards. Conceptually, FCs provide the failure probability of a particular grid asset according to the intensity of an extreme event, which can be determined based on the hazard intensity inherently dictated by the nature of the event. The probability of failure can be obtained following diverse methodologies and criteria. Thus, the resilience assessment of the event may vary significantly depending on how the probability of failure was determined. This paper provides, for the first time, a comprehensive review of the FCs used to model the vulnerability of the power system components, classifying them according to the physical magnitude and the system element subject to each type of event. Furthermore, a comparison of results obtained applying different FCs is developed to show the relevance of their modelling. The content of this paper can be used as a hands-on guide for researchers and power systems engineers to perform resilience studies.

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“…Some studies modeled the fault situation of the distribution network in typhoons and extreme temperature weather [20][21][22][23][24], which can be roughly divided into two categories. Some use event probability models and vulnerability curves to simulate power system faults.…”

Section: Introductionmentioning

confidence: 99%

“…Some use event probability models and vulnerability curves to simulate power system faults. Study [22] established the probability generation model of typhoons and the spacetime vulnerability model of distribution network lines. The temporal and spatial impact of typhoons on distribution networks is quantified.…”

Section: Introductionmentioning

confidence: 99%

Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

Ma,

Xu,

Wang

et al. 2024

Energies

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Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system.

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A Resilience Assessment Framework for Distribution Systems Under Typhoon Disasters

Abstract: This research was funded by Science and technology projects of State Grid Zhejiang Electric Power Co., Ltd. 2021ZK37 (Research on partition coordinated self-healing recovery technology of power system based on artificial intelligence).

Cited by 22 publications

References 22 publications

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

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