An Analysis of SoC Self-convergence for Adaptive Droop Control Systems of Battery Energy Storage with Different Capacity

Yasushi Eto, Yuichi Noge, Masahito Shoyama, Tadatoshi Babasaki

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

Abstract

Battery energy storage (BES) is used to match the power balance in DC microgrids. A decentralized control using droop control for BES converters has been proposed to converge the state of charge (SoC) of multiple BESs, which enables the effective utilization of battery resources without using communication. This paper investigates the conditions for SoC self-convergence when BESs with different power capacity and voltage are connected to the DC microgrid using the BES converters. As a result of further analysis of the system behavior under the obtained convergence conditions, an equation for SoC deviation was found among BESs with different characteristics. A speed of SoC convergence with two BES systems was also obtained from the analysis. Finally, simulation results validated the theoretical equations obtained in this paper.

Original languageEnglish
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193878
DOIs
Publication statusPublished - 2022
Event2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duration: Oct 9 2022Oct 13 2022

Publication series

Name2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/TerritoryUnited States
CityDetroit
Period10/9/2210/13/22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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