Prospects of using the dynamic thermal rating system for reliable electrical networks: A review

J Teh, CM Lai, NA Muhamad, CA Ooi, YH Cheng… - IEEE …, 2018 - ieeexplore.ieee.org
Traditional transmission line ratings are limited by a set of fixed conservative weather
assumptions that are also known as static thermal rating (STR). Owing to STR, new line …

Computational techniques for assessing the reliability and sustainability of electrical power systems: A review

AA Kadhem, NIA Wahab, I Aris, J Jasni… - … and Sustainable Energy …, 2017 - Elsevier
Power systems employ measures of reliability indices to indicate the effectiveness a power
system to perform its basic function of supplying electrical energy to its consumers. The …

A convolutional neural network-based approach to composite power system reliability evaluation

M Kamruzzaman, N Bhusal, M Benidris - International Journal of Electrical …, 2022 - Elsevier
This paper proposes a machine learning-based approach in conjunction with Monte Carlo
simulation (MCS) to improve the computation efficiency of composite power system reliability …

A systematic review of reliability studies on composite power systems: a coherent taxonomy motivations, open challenges, recommendations, and new research …

H Abunima, J Teh, CM Lai, HJ Jabir - Energies, 2018 - mdpi.com
Power systems has been subjected to significant upgrades in terms of structure and
capacity. Reliability evaluation of composite power systems has surfaced as an essential …

Overview on binary optimization using swarm-inspired algorithms

M Macedo, H Siqueira, E Figueiredo, C Santana… - IEEE …, 2021 - ieeexplore.ieee.org
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …

Reliability evaluation of composite generation and transmission systems via binary logistic regression and parallel processing

FSV Campos, FA Assis, AML da Silva… - International Journal of …, 2022 - Elsevier
In power system planning studies that involve the search for optimal investments with low
risks for the power grid, probabilistic reliability assessments provide very useful tools and …

Machine‐learning‐based reliability evaluation framework for power distribution networks

G Li, Y Huang, Z Bie, T Ding - IET Generation, Transmission & …, 2020 - Wiley Online Library
Reliability evaluation of power distribution systems is a well‐studied and understood
problem, but topology analysis efficiency and failure feature description are still limiting the …

Adequacy evaluation of composite power systems using an evolutionary swarm algorithm

PAGM Amarasinghe, SK Abeygunawardane… - IEEE …, 2022 - ieeexplore.ieee.org
The generation and transmission capacities of many power systems in the world are
significantly increasing due to the escalating global electricity demand. Therefore, the …

Unsupervised machine learning techniques applied to composite reliability assessment of power systems

FA Assis, AJC Coelho, LD Rezende… - … on Electrical Energy …, 2021 - Wiley Online Library
Composite generation and transmission system reliability evaluation allows the assessment
of the risks of system operation failure, taking into account the uncertainties associated with …

An incremental-variable-based state enumeration method for power system operational risk assessment considering safety margin

Y Sun, K Hou, H Jia, J Rim, D Wang, Y Mu, X Yu… - IEEE …, 2020 - ieeexplore.ieee.org
This paper proposes an incremental-variable-based state enumeration method (IVSE) for
power system operation risk assessment and develops the risk indices considering the …