Performance Limits of Differential Power Processing

Ping Wang, Robert C.N. Pilawa-Podgurski, Philip T. Krein, Minjie Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper explores performance limits of differential power processing (DPP) for large-scale modular dc energy systems with stochastic loads. An analytical stochastic model is developed to estimate the average power loss of a DPP topology under probabilistic load distributions. A scaling factor $\mathcal{S}$ (•) is introduced to describe how power loss scales as the system size or load power variance increases. The average power losses of several example DPP topologies are analyzed and compared against conventional dc-dc converters given the same total switch die area and magnetic volume. The performance limits for various DPP topologies are derived and verified by Monte-Carlo simulations in SPICE, and the results indicate that the ac-coupled DPP converter stands out from all the representative DPP topologies discussed here in terms of the lowest power loss. The paperprovides an analytical framework to evaluate the performance of different DPP topologies in a methodical way, offering insights for the design of DPP systems with large-scale stochastic loads.

Original languageEnglish (US)
Title of host publication2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171609
DOIs
StatePublished - Nov 9 2020
Event21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 - Aalborg, Denmark
Duration: Nov 9 2020Nov 12 2020

Publication series

Name2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

Conference

Conference21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020
Country/TerritoryDenmark
CityAalborg
Period11/9/2011/12/20

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Modeling and Simulation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Keywords

  • Differential power processing (DPP)
  • dc-dc converters
  • performance limits
  • stochastic models

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