A Novel Decentralized PWM Interleaving Technique for Ripple Minimization in Series-Stacked DC-DC Converters: Preprint

Soham Dutta, Branko Majmunovic, Satyaki Mukherjee, Rahul Mallik, Gab-Su Seo, Dragan Maksimovic, Brian Johnson

Research output: Contribution to conferencePaper


Cascaded dc-dc converters are commonly used in applications where distributed energy sources or loads are connected to elevated voltage levels for power transfer. In such systems, it is advantageous to minimize the ripple on the bus current and voltage by proper phase shifting of the pulse-width modulation (PWM) pulses among the converters via a method known as interleaving. Existing approaches use either a centralized controller or separate communication lines among the stacked converters to control their relative PWM switch transitions. The key drawbacks are that these methods entail significant wiring, the central controller acts as a single point of failure, and implementation on very large numbers of units is impractical. In this paper, we introduce a decentralized interleaving control (DIC) strategy that acts on local current measurements at every converter and achieves communication-free PWM interleaving among the series-stacked converters. The proposed controller is simple in structure and is shown to converge asymptotically to the interleaved state irrespective of clock drifts among the digital signal processors. Experimental results are provided for a system of five series-connected converters showing a 10 times reduction in the current ripple compared to normal operation.
Original languageAmerican English
Number of pages10
StatePublished - 2021
Event2021 IEEE Applied Power Electronics Conference (APEC) -
Duration: 9 Jun 202112 Jun 2021


Conference2021 IEEE Applied Power Electronics Conference (APEC)

Bibliographical note

See NREL/CP-5D00-81216 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-79582


  • cascaded converter
  • decentralized control
  • differential power sharing
  • interleaving
  • ripple minimization


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