Minimum Distortion Point Tracking

Jason Poon; Brian B. Johnson; Sairaj V. Dhople; Seth R. Sanders

doi:10.1109/TPEL.2020.2975613

Minimum Distortion Point Tracking

Jason Poon, Brian B. Johnson, Sairaj V. Dhople, Seth R. Sanders

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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 dc-dc buck converters handling 1.8 kW. The experimental results illustrate an up to \text{3.06}\times 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.

Original language	English (US)
Article number	9006954
Pages (from-to)	11013-11025
Number of pages	13
Journal	IEEE Transactions on Power Electronics
Volume	35
Issue number	10
DOIs	https://doi.org/10.1109/TPEL.2020.2975613
State	Published - Oct 2020
Externally published	Yes

Bibliographical note

Funding Information:
Manuscript received September 7, 2019; revised December 28, 2019; accepted February 12, 2020. Date of publication February 21, 2020; date of current version June 23, 2020. This work was supported in part by the US Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy administered by the Oak Ridge Institute for Science and Education (ORISE), Oak Ridge Associated Universities (ORAU) under DOE Contract DE-SC0014664. This paper was presented in part at the 19th IEEE Workshop on Control and Modeling for Power Electronics (COMPEL), Padova, Italy, June 25, 2018 [1]. Recommended for publication by Associate Editor Prof. Michael (GE) A. E. Andersen. (Corresponding author: Jason Poon.) Jason Poon is with the Department of Electrical Engineering, Stanford University, Stanford, CA 94305 USA (e-mail: jason.poon@stanford.edu).

Publisher Copyright:
© 1986-2012 IEEE.

Keywords

DC-DC power conversion
optimization methods
power conversion harmonics

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abstract = "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 dc-dc buck converters handling 1.8 kW. The experimental results illustrate an up to \text{3.06}\times 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.",

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Minimum Distortion Point Tracking

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