Modeling and Quantification of Power System Resilience to Natural Hazards: A Case of Landslide

Ghorani, Rahim; Fattaheian‐Dehkordi, Sajjad; Farrokhi, Mehdi; Fotuhi‐Firuzabad, Mahmud; Lehtonen, Matti

doi:10.1109/access.2021.3084368

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…However, the authors focused here on the analysis of the lack of power supply continuity in the example of four variants of remote control on the sequence of a medium-voltage cable line. Similar reflections are included in the publication [35], which examines the impact of natural hazards on the functioning of the power system.…”

Section: State-of-the-artmentioning

confidence: 97%

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

et al. 2023

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The article describes a new approach to the reliability–exploitation analysis of the critical information and communications technology (ICT) system power supply. A classic approach based on statistical indicators and a new one founded on uncertainty modelling based on the rough set method is presented. The main advantage of the uncertainty modelling approach is the simplification of the calculations and the fact that, unlike statistical analysis, uncertainty modelling does not require complete information on the used data sets. An extensive study of world publications was carried out, proving that this is an entirely innovative approach to solving the problem of reliability and exploitation analysis. Calculations, analyses and syntheses are also exhibited in a specific example. A sample of the ICT system power supply was simulated, and the simulation results are shown. The simulations were prepared by one of the co-authors for the purposes of this article.

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Section: State-of-the-artmentioning

confidence: 97%

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

et al. 2023

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“…To add to that, deforestation, change in climate, rapid urbanization contribute significantly as well [4]. Such natural disasters can destroy numerous resources [5]. A recent study shows, annual flood damage costs could go up to USD100 million, affecting lives, properties, agriculture and major road systems [6].…”

Section: Introductionmentioning

confidence: 99%

A Data-Intelligent Scheme Toward Smart Rescue and Micro-Services

et al. 2023

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A considerable portion of the world frequently experiences flooding during the monsoon season. As a result of this catastrophic event, hundreds of individuals have become homeless. In addition, rescuers are not usually effective enough to rescue the majority of victims. This is due to inadequate rescue operations infrastructure, a severe flaw in today's technologically advanced society. This manuscript proposes a microservice-dependent secure rescue framework that uses geographic information system mapping with a K-Means clustering algorithm to identify flood-prone regions. Numerous microservices, such as fleet management, cloud computing, and data security, integrate and execute the framework in preand post-flood situations. Labeling data from the proposed framework generates a support vector machinebased classifier for predicting flood risk. Furthermore, a hybrid A* algorithm is developed to find an optimal route for the rescue operation. Based on the K-means clustering results, which reduced the variance by 89.2 percent overall, dividing the data into six clusters was the best option for this study. The smoothness of the suggested hybrid algorithm is also used to verify its superiority.

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“…This, in turn, increases the level of the power supply security. The article [19][20][21][22][23][24][25][26][27][28][29][30][31] describes various technologies and devices for storing energy obtained mainly from renewable energy sources.…”

Section: Introductionmentioning

confidence: 99%

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Gubarevych,

Duer,

Melkonova

et al. 2023

Energies

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Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future.

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Modeling and Quantification of Power System Resilience to Natural Hazards: A Case of Landslide

Cited by 6 publications

References 23 publications

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

A Data-Intelligent Scheme Toward Smart Rescue and Micro-Services

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

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