TY - GEN
T1 - An Analysis of SoC Self-convergence for Adaptive Droop Control Systems of Battery Energy Storage with Different Capacity
AU - Eto, Yasushi
AU - Noge, Yuichi
AU - Shoyama, Masahito
AU - Babasaki, Tadatoshi
N1 - Funding Information:
This work was supported by JST, the establishment of university fellowships towards the creation of science technology innovation, Grant Number JPMJFS2132.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1109/ECCE50734.2022.9948137
DO - 10.1109/ECCE50734.2022.9948137
M3 - Conference contribution
AN - SCOPUS:85144031820
T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Y2 - 9 October 2022 through 13 October 2022
ER -
