Fast Dynamic Control of Stacked Low Inertia Converters

Liran Zheng, Rajendra Prasad Kandula, Karthik Kandasamy, Deepak Divan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

This paper explains control challenges of stacked low inertia converters (SLIC) in detail and presents a novel control method called model prediction based priority switching control (MPPS) for such converters. Low inertia converters, which feature smaller dc storage, either dc-link capacitor or inductor, dramatically reduce cost, size, and weight compared to conventional power converters. However, due to the absence of the large de-link buffer, the decoupling between input and output is reduced, leading to significant control challenges. The control becomes even more challenging when these converters are stacked for high voltage applications, which brings up coupling between the modules besides the coupling within each module. The paper discusses this multi-objective, multi-degree of freedom control problem and points out challenges of employing conventional control, such as PI, to achieve fast and stable operation of the stacked low inertia converters. A control method called model prediction based priority switching (MPPS) control is proposed. The proposed MPPS control and PI control applied to modular soft-switching solid-state transformer (S4T), a representative of the stacked low inertia converters, are compared to verify the effectiveness of the proposed control method.

Original languageEnglish
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3126-3133
Number of pages8
ISBN (Electronic)9781479973118
DOIs
StatePublished - Dec 3 2018
Externally publishedYes
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: Sep 23 2018Sep 27 2018

Publication series

Name2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Conference

Conference10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/TerritoryUnited States
CityPortland
Period09/23/1809/27/18

Funding

This work is supported by PowerAmerica Institute of Department of Energy, and Center for Distributed Energy of Georgia Institute of Technology.

Keywords

  • Large-signal disturbance
  • Model prediction
  • Modular solid-state transformer
  • Priority switching
  • Reduced dc-link converter
  • Stacked low inertia converter

Fingerprint

Dive into the research topics of 'Fast Dynamic Control of Stacked Low Inertia Converters'. Together they form a unique fingerprint.

Cite this