Impact of situational awareness attributes for resilience assessment of active distribution networks using hybrid dynamic Bayesian multi criteria decision-making approach

Sonal,; Ghosh, Debomita

doi:10.1016/j.ress.2022.108772

Cited by 12 publications

(3 citation statements)

References 40 publications

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“…To comply with other metrics without PR score, the flexibility metric, demand response metric, EV metric, peak and valley metric, and energy storage metric should be further processed. The normalization can be described as Equation (5).…”

Section: Weighted Page-ranking Methodsmentioning

confidence: 99%

“…Therefore, resilience evaluation plays a critical role in the decarbonized development of modern electric distribution systems since it objectively assesses how the distribution network performs in the face of stochastic renewable generation, increasing load demand, and the promise to cut carbon emissions. In [5], researchers study the resilience evaluation of active distribution systems based on situational awareness estimation. Prevalent reliability indices like the System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) [6] can also contribute to assessing the resilience of the power system.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive resilience evaluation method for power distribution systems based on weighted Page-Rank algorithm

Lv,

Ying,

Ying

et al. 2024

J. Phys.: Conf. Ser.

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Resilience evaluation plays a critical role in the decarbonized development of modern power distribution systems since it objectively assesses how the distribution system performs in the face of stochastic renewable generation, increasing load demand, and promising to cut carbon emissions. This study proposed a comprehensive resilience evaluation method for regional distribution systems. The proposed resilience evaluation system comprises three sub-groups: performance, economy, and connections. To improve the objectivity of the proposed evaluation method, the weighting factors are calculated based on the Analytic Hierarchy Process (AHP) and weighted Page-ranking algorithm, respectively. Specifically, AHP is adopted to calculate the weighting factors for different metrics. At the same time, the original Page-ranking algorithm is improved according to the importance of the buses and then used to calculate the weighting factors for different buses within the same metric. The proposed method is applied to a real-world distribution network in China. Numerical results show that the proposed method can objectively evaluate the overall resilience level of the distribution network, including the source side, the network, and the load side. The evaluation results can help the decision-makers to make resilience enhancement in an economical and targeted way.

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Section: Weighted Page-ranking Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comprehensive resilience evaluation method for power distribution systems based on weighted Page-Rank algorithm

Lv,

Ying,

Ying

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…A hybrid framework composed of quantum computing, data science and machine learning is designed for the stability assessment of power systems [106]. Reference [107] presents a multi‐level hierarchy framework to evaluate the situational awareness in active distribution networks and [108] uses a data‐driven approach to rapidly predict forced outages in power systems. In a recent study, various factors that cause the formation of situation awareness in the central control are investigated and a multi‐mode approach based on Markov modelling is presented to achieve the effects of insufficient situation awareness on the probability of power outage [109].…”

Section: Resilience Enhancement Methodsmentioning

confidence: 99%

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Amini

Zadeh

Rostami

et al. 2023

IET Renewable Power Gen

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Secure energy providing is a critical feature of sustainable societies, where this subject requires reliable operation of generation, transmission and distribution infrastructures. In order to achieve the mentioned goal, the influence of uncertainties should be analyzed using appropriate methods, criteria and tools. The high‐impact low‐probability (HILP) events are special uncertainties that can affect the safe operation and lead to irreparable damages. This paper presents a comprehensive review of resilience in electrical energy systems consisting of fundamental concepts and definitions, challenges, enhancements and future proceedings. In this regard, a resilience evaluation framework is designed first in which all the necessary actions for a resilience study are defined. In the next step, various HILP events are introduced and then the resilience concept is defined accurately and related curves are investigated. Afterwards, the resilience assessment indices and quantitative measures are described and their details and applications are precisely explained. As well, the resilience enhancement strategies are discussed from short‐term and long‐term perspectives and eventually, resilience‐based objective functions and optimization approaches are classified in the last part. It is noteworthy that the main research gaps are also clarified according to the reviewed papers and further suggestions are expressed to cope with the declared problems.

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Resilience analysis of mine ventilation cyber-physical fusion system

Du,

Wang,

et al. 2024

J Supercomput

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Impact of situational awareness attributes for resilience assessment of active distribution networks using hybrid dynamic Bayesian multi criteria decision-making approach

Cited by 12 publications

References 40 publications

A comprehensive resilience evaluation method for power distribution systems based on weighted Page-Rank algorithm

A comprehensive resilience evaluation method for power distribution systems based on weighted Page-Rank algorithm

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Resilience analysis of mine ventilation cyber-physical fusion system

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