DC electric springs with modified droop control for storage reduction in DC microgrids

Ming Hao Wang, Shuo Yan, Siew Chong Tan, Shu Yuen Ron Hui

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Series DC electric springs (series ESs) can be a cost-effective technology to tackle the intermittency of the renewable generations in DC distribution grids. When multiple series ESs are connected to differently rated non-critical loads (NCLs) and are operated to regulate the voltages at their respective points of common coupling, the charging and discharging characteristics among the ESs are different. In this paper, a modified droop controller, which is designed to reduce the total storage capacity of the series ES, is proposed to coordinate the operation of multiple series ESs. The power curves of series ESs with light, medium, and heavy NCLs are compared and analyzed. Experimental results on a 60 V DC grid have confirmed that the proposed controller can effectively reduce the total storage capacity with good coordination among multiple series ESs.

Original languageEnglish
Title of host publicationECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007370
DOIs
Publication statusPublished - 2016
Event2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duration: 18 Sep 201622 Sep 2016

Publication series

NameECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings

Conference

Conference2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Country/TerritoryUnited States
CityMilwaukee
Period18/09/1622/09/16

Keywords

  • DC grids
  • distributed power systems
  • power electronics
  • smart grid
  • Smart load
  • stability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Control and Optimization

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