Age-dependent resilience assessment and quantification of distribution systems under extreme weather events

Dehghani, Farshid; Mohammadi, Mohammad; Karimi, Mazaher

doi:10.1016/j.ijepes.2023.109089

Cited by 12 publications

(2 citation statements)

References 32 publications

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“…It is evident that ADNs will shape the future development of distribution networks. Compared to transmission networks, distribution networks have lower redundancy, aging equipment, outdated protection methodologies, and limited resilience against extreme disasters [14,15]. Consequently, distribution networks are significantly impacted by extreme disasters.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method

Xu,

Fan,

Zhang

et al. 2023

Energies

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The integration of distributed generation (DG) into the decentralized access of the distribution network transforms the existing structure into an active distribution network. The alteration in fault characteristics poses significant challenges to the coordinated operation of relay protection. Fault location within the distribution network plays a vital role in facilitating fault recovery and enhancing the resilience of the power system. It proves instrumental in improving the network’s ability to withstand extreme disasters, thereby enhancing the reliability of power distribution. Therefore, this paper provides a detailed analysis of the voltage fault components occurring during various fault types within an active distribution network. Building upon the identified characteristics of voltage fault components, a novel approach for the longitudinal protection of active distribution networks is proposed. This method involves comparing the calculated values of voltage fault components with their actual values. The proposed approach is applicable to various fault scenarios, including short-circuit faults, line break faults, and recurring faults. It exhibits advantages such as insensitivity to the penetration of distributed power supplies and robustness in withstanding transition resistance. The simulation results validate the effectiveness of the proposed method, affirming its applicability to diverse protection requirements within active distribution networks.

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Section: Introductionmentioning

confidence: 99%

Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method

Xu,

Fan,

Zhang

et al. 2023

Energies

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“…Quantifying resilience is an essential theoretical basis for road resilience evaluation. Existing quantitative methods for resilience are divided into deterministic methods [8][9][10] and probabilistic methods [11][12][13][14]. However, deterministic methods require precise and complete data support [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Modeling and Evaluating Road Operational Resilience Based on Pressure-State-Response Theory and Dynamic Bayesian Networks

Lin

Xie

et al. 2023

Applied Sciences

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Urban roads face significant challenges from the unpredictable and destructive characteristics of natural or man-made disasters, emphasizing the importance of modeling and evaluating their resilience for emergency management. Resilience is the ability to recover from disruptions and is influenced by factors such as human behavior, road conditions, and the environment. However, current approaches to measuring resilience primarily focus on the functional attributes of road facilities, neglecting the vital feedback effects that occur during disasters. This study aims to model and evaluate road resilience under dynamic and uncertain emergency event scenarios. A new definition of road operational resilience is proposed based on the pressure-state-response theory, and the interaction mechanism between multidimensional factors and the stage characteristics of resilience is analyzed. A method for measuring road operational resilience using Dynamic Bayesian Networks (DBN) is proposed, and a hierarchical DBN structure is constructed based on domain knowledge to describe the influence relationship between resilience elements. The Best Worst method (BWM) and Dempster–Shafer evidence theory are used to determine the resilience status of network nodes in DBN parameter learning. A road operational resilience cube is constructed to visually integrate multidimensional and dynamic road resilience measurement results obtained from DBNs. The method proposed in this paper is applied to measure the operational resilience of roads during emergencies on the Shanghai expressway, achieving a 92.19% accuracy rate in predicting resilient nodes. Sensitivity analysis identifies scattered objects, casualties, and the availability of rescue resources as key factors affecting the rapidity of response disposal in road operations. These findings help managers better understand road resilience during emergencies and make informed decisions.

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Momen,

Ranjbar,

Sepasian

et al. 2024

Future Modern Distribution Networks Resilience

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Age-dependent resilience assessment and quantification of distribution systems under extreme weather events

Cited by 12 publications

References 32 publications

Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method

Enhancing Resilience and Reliability of Active Distribution Networks through Accurate Fault Location and Novel Pilot Protection Method

A Novel Approach for Modeling and Evaluating Road Operational Resilience Based on Pressure-State-Response Theory and Dynamic Bayesian Networks

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