Prospects of using the dynamic thermal rating system for reliable electrical networks: A review
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 …
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
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 …
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
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 …
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 …
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 …
capacity. Reliability evaluation of composite power systems has surfaced as an essential …
Overview on binary optimization using swarm-inspired algorithms
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 …
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
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 …
risks for the power grid, probabilistic reliability assessments provide very useful tools and …
Machine‐learning‐based reliability evaluation framework for power distribution networks
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 …
problem, but topology analysis efficiency and failure feature description are still limiting the …
Adequacy evaluation of composite power systems using an evolutionary swarm algorithm
The generation and transmission capacities of many power systems in the world are
significantly increasing due to the escalating global electricity demand. Therefore, the …
significantly increasing due to the escalating global electricity demand. Therefore, the …
Unsupervised machine learning techniques applied to composite reliability assessment of power systems
Composite generation and transmission system reliability evaluation allows the assessment
of the risks of system operation failure, taking into account the uncertainties associated with …
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
This paper proposes an incremental-variable-based state enumeration method (IVSE) for
power system operation risk assessment and develops the risk indices considering the …
power system operation risk assessment and develops the risk indices considering the …