Parameter estimation of electric power transformers using coyote optimization algorithm with experimental verification

MI Abdelwanis, A Abaza, RA El-Sehiemy… - IEEE …, 2020 - ieeexplore.ieee.org
In this work, the Coyote Optimization Algorithm (COA) is implemented for estimating the
parameters of single and three-phase power transformers. The estimation process is …

Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers

RM Rizk-Allah, RA El-Sehiemy… - Neural Computing and …, 2024 - Springer
Tasmanian devil optimization (TDO) algorithm represents one of the most recent
optimization algorithms that were introduced based on the nature behavior of Tasmanian …

A monitoring method for average winding and hot-spot temperatures of single-phase, oil-immersed transformers

C Gezegin, O Ozgonenel, H Dirik - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Transformers are the most expensive element of a power system, and so transformer
monitoring systems are becoming more important as loads increase. Under heavy loading …

[HTML][HTML] Identification of Transformer Parameters Using Dandelion Algorithm

MA El-Dabah, AM Agwa - Applied System Innovation, 2024 - mdpi.com
Researchers tackled the challenge of finding the right parameters for a transformer-
equivalent circuit. They achieved this by minimizing the difference between actual …

Measurement-based stiff equation methodology for single phase transformer inrush current computations

Ł Majka, B Baron, P Zydroń - Energies, 2022 - mdpi.com
The present paper describes the research on the mechanism of inrush current formation in a
modern single-phase transformer, in which the insulation system must withstand the …

AMI data-driven strategy for hierarchical estimation of distribution line impedances

J Ban, JY Park, YJ Kim… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Monitoring, operation, and protection of distribution power grids fundamentally rely on the
accurate estimation of line impedances. However, line impedance estimation is challenging …

On‐line identification of power transformer short‐circuit parameters based on instantaneous phasor

M Han, R Zhao, Y Zhang… - IET Electric Power …, 2023 - Wiley Online Library
Among the various faults of power transformers, winding faults are particularly common. It is
known that short‐circuit parameters can reflect the winding condition, so the on‐line …

Determination of single-phase transformer saturation characteristic by using Nelder–Mead optimization method

A Tokić, M Kasumović, M Pejić, V Milardić… - Electrical …, 2021 - Springer
Correctly modelling the nonlinear saturation characteristics of the transformer iron core is of
great importance in steady-state calculations (harmonics and power quality) and …

[PDF][PDF] Slime mold optimizer for transformer parameters identification with experimental validation

SK Elsayed, AM Agwa, MA El-Dabbah… - Intell. Autom. Soft …, 2021 - cdn.techscience.cn
The problem of parameters identification for transformer equivalent circuit can be solved by
optimizing a nonlinear formula. The objective function attempts to minimize the sum of …

Identifying the Core Aspect Ratios of Three-Limb Core-Type Transformers using Machine Learning

RJ Hamidi, AB Bhadra - IEEE Access, 2024 - ieeexplore.ieee.org
This paper proposes an approach to identifying the core aspect ratios of three-limb core-type
power transformers. Analyzing transformer transients, such as inrush currents, is essential …