A High-Power Active Filtering System With Fundamental Magnetic Flux Compensation

2006 ◽  
Vol 21 (2) ◽  
pp. 823-830 ◽  
Author(s):  
D. Li ◽  
Q. Chen ◽  
Z. Jia ◽  
C. Zhang
Keyword(s):  
Magnetic Flux ◽  
High Power ◽  
Active Filtering ◽  
Magnetic Flux Compensation

An AC harmonic current elimination method by magnetic flux compensation

1979 ◽  
Vol 99 (4) ◽  
pp. 45-55 ◽  
Author(s):  
Hiroshi Sasaki ◽  
Noboru Nakanishi ◽  
Takehiko Machida
Keyword(s):  
Magnetic Flux ◽  
Harmonic Current ◽  
Elimination Method ◽  
Magnetic Flux Compensation

Modeling and validation of stray-field loss inside magnetic and non-magnetic components under harmonics-DC hybrid excitations based on updated TEAM Problem 21

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiguang Cheng ◽  
Behzad Forghani ◽  
Zhenbin Du ◽  
Lanrong Liu ◽  
Yongjian Li ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Magnetic Flux ◽  
Total Power ◽  
Electromagnetic Analysis ◽  
Stray Field ◽  
Content Type ◽  
Magnetic Components ◽  
Analysis Methods ◽  
Load Component ◽  
Magnetic Flux Compensation

Purpose This paper aims to propose and establish a set of new benchmark models to investigate and confidently validate the modeling and prediction of total stray-field loss inside magnetic and non-magnetic components under harmonics-direct current (HDC) hybrid excitations. As a new member-set (P21e) of the testing electromagnetic analysis methods Problem 21 Family, the focus is on efficient analysis methods and accurate material property modeling under complex excitations. Design/methodology/approach This P21e-based benchmarking covers the design of new benchmark models with magnetic flux compensation, the establishment of a new benchmark measurement system with HDC hybrid excitation, the formulation of the testing program (such as defined Cases I–V) and the measurement and prediction of material properties under HDC hybrid excitations, to test electromagnetic analysis methods and finite element (FE) computation models and investigate the electromagnetic behavior of typical magnetic and electromagnetic shields in electrical equipment. Findings The updated Problem 21 Family (V.2021) can now be used to investigate and validate the total power loss and the different shielding performance of magnetic and electromagnetic shields under various HDC hybrid excitations, including the different spatial distributions of the same excitation parameters. The new member-set (P21e) with magnetic flux compensation can experimentally determine the total power loss inside the load-component, which helps to validate the numerical modeling and simulation with confidence. The additional iron loss inside the laminated sheets caused by the magnetic flux normal to the laminations must be correctly modeled and predicted during the design and analysis. It is also observed that the magnetic properties (B27R090) measured in the rolling and transverse directions with different direct current (DC) biasing magnetic field are quite different from each other. Research limitations/implications The future benchmarking target is to study the effects of stronger HDC hybrid excitations on the internal loss behavior and the microstructure of magnetic load components. Originality/value This paper proposes a new extension of Problem 21 Family (1993–2021) with the upgraded excitation, involving multi-harmonics and DC bias. The alternating current (AC) and DC excitation can be applied at the two sides of the model’s load-component to avoid the adverse impact on the AC and DC power supply and investigate the effect of different AC and DC hybrid patterns on the total loss inside the load-component. The overall effectiveness of numerical modeling and simulation is highlighted and achieved via combining the efficient electromagnetic analysis methods and solvers, the reliable material property modeling and prediction under complex excitations and the precise FE computation model using partition processing. The outcome of this project will be beneficial to large-scale and high-performance numerical modeling.

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