Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
More than a century after the discovery of superconductors (SCs), numerous studies have
been accomplished to take advantage of SCs in physics, power engineering, quantum …
been accomplished to take advantage of SCs in physics, power engineering, quantum …
Optimization Design of Oil‐Immersed Iron Core Reactor Based on the Particle Swarm Algorithm and Thermal Network Model
F Yuan, K Lv, B Tang, Y Wang, W Yang… - Mathematical …, 2021 - Wiley Online Library
In this paper, according to the design parameters of oil‐immersed iron core reactor, the
thermal network model of windings is established by the thermo‐electric analogy method …
thermal network model of windings is established by the thermo‐electric analogy method …
Incorporating evolutionary computation for securing wireless network against cyberthreats
Due to the rapid growth of internet services, the demand for protection and security of the
network against sophisticated attacks is continuously increasing. Nowadays, in network …
network against sophisticated attacks is continuously increasing. Nowadays, in network …
Optimal design of flux diverter using genetic algorithm for axial short circuit force reduction in HTS transformers
The appealing advantages of high-temperature superconducting (HTS) power transformers
over conventional ones have attracted transformer manufacturing companies, power …
over conventional ones have attracted transformer manufacturing companies, power …
Applications of Novel Heuristic Algorithms in Design Optimization of Energy-Efficient Distribution Transformer
Transformers are crucial and expensive assets of power grids. Reducing power losses in
power and distribution transformers is important because it increases the efficiency of the …
power and distribution transformers is important because it increases the efficiency of the …
Multi objective evolutionary algorithm for designing energy efficient distribution transformers
This paper has solved the transformer design optimization problem using Multi-Objective
Evolutionary Algorithms based on Decomposition with Dynamical Resource Allocation …
Evolutionary Algorithms based on Decomposition with Dynamical Resource Allocation …
HTS transformers leakage flux and short circuit force mitigation through optimal design of auxiliary windings
Mitigation and control of leakage fluxes and short circuit forces needs much more attention,
for a high-temperature superconducting (HTS) transformer, than for a conventional one …
for a high-temperature superconducting (HTS) transformer, than for a conventional one …
Optimisation design of medium frequency transformer for the offshore dc grid based on multi‐objective genetic algorithm
L Zhang, D Zhang, H Shui, Y Yuan, Q Pei… - IET Power …, 2017 - Wiley Online Library
A DC/DC converter is a vital component for offshore DC grids, in which a medium frequency
transformer (MFT) is the main element. Therefore, it is necessary to optimise the core …
transformer (MFT) is the main element. Therefore, it is necessary to optimise the core …
An efficient hybrid evolutionary approach for identification of zero-day attacks on wired/wireless network system
AK Shukla - Wireless Personal Communications, 2022 - Springer
Attacks from network applications establish considerable security threats for computer
networks and end users. Existing cyber-attack detection methods are designed primarily in …
networks and end users. Existing cyber-attack detection methods are designed primarily in …
Power transformer characterization and design optimization environment
AA Arkadan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Power Transformers are essential part of all AC power grids. This work proposes a
characterization and design optimization environment for power transformers to increase …
characterization and design optimization environment for power transformers to increase …