.png){kind=icon}
.png){kind=icon}
Return
Minimum Distortion Point Tracking
.png){kind=icon}
OA
AI
DOI：10.1109/TPEL.2020.2975613.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article introduces the notion of minimum distortion point tracking (MDPT): a control strategy where switching waveforms are optimally phase shifted to minimize aggregate ripple power for networks of dc-dc converters that are connected in series or parallel at the input or output. In a sense, MDPT generalizes the ubiquitous concept of interleaving in balanced systems to a broad class of asymmetric series- or parallel-connected dc-dc converters. For networks of up to one hundred interconnected power converters, MDPT demonstrates a one to two order of magnitude reduction (-14 to -22 dB) in distortion power. We present and experimentally verify three algorithms that can dynamically solve the MDPT optimization problem on a network of three input-parallel connected de-de buck converters handling 1.8 kW. The experimental results illustrate an up to 3.06x reduction in the peak-to-peak ripple of the parallel-side bus voltage and convergence close to an optimal steady-state solution in 5 ms.
Keywords:
DC-DC power conversion
optimization methods
power conversion harmonics
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.5
Papers:
1.7W
Citations:
8.3W