An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid

In order to avoid overuse of a certain battery energy storage system (BESS) and prolong the cycle life of battery in AC microgrid, an improved SoC-based droop control based on multi-agent system (MAS) is proposed for achieving State of Charge (SoC) balance of multiple BESS units. A proportional-inte...

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Main Authors: Demin Li, Zaijun Wu, Bo Zhao, Leiqi Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9063539/
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spelling doaj-0d96317b81f34f719f8bca09531235692021-03-30T02:59:24ZengIEEEIEEE Access2169-35362020-01-018719177192910.1109/ACCESS.2020.29870989063539An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC MicrogridDemin Li0https://orcid.org/0000-0002-9274-5266Zaijun Wu1Bo Zhao2Leiqi Zhang3School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou, ChinaIn order to avoid overuse of a certain battery energy storage system (BESS) and prolong the cycle life of battery in AC microgrid, an improved SoC-based droop control based on multi-agent system (MAS) is proposed for achieving State of Charge (SoC) balance of multiple BESS units. A proportional-integral (PI) adjustment item using the average SoC is added to the P -f droop to regulate the charging and discharging power of BESS, then SoC changes towards in the direction of consistency and finally reaches equalization. The dynamic average consensus algorithm is utilized to obtain the average SoC. The proposed SoC-based droop method needs not to be changed in different operating mode of BESS and can achieve SoC balance regardless of whether the capacities of different batteries are the same, which improve the applicability of this method. A complete small-signal state space model including all BESS units is built and analyzed to select the appropriate control parameters of the improved droop. The impact of communication time delay on the improved droop method for balancing SoC is investigated and the effectiveness of the proposed strategy is verified through the simulation results of different case studies.https://ieeexplore.ieee.org/document/9063539/BESSSoC-based droop controlSoC balancesmall-signal state space model
collection DOAJ
language English
format Article
sources DOAJ
author Demin Li
Zaijun Wu
Bo Zhao
Leiqi Zhang
spellingShingle Demin Li
Zaijun Wu
Bo Zhao
Leiqi Zhang
An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
IEEE Access
BESS
SoC-based droop control
SoC balance
small-signal state space model
author_facet Demin Li
Zaijun Wu
Bo Zhao
Leiqi Zhang
author_sort Demin Li
title An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
title_short An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
title_full An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
title_fullStr An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
title_full_unstemmed An Improved Droop Control for Balancing State of Charge of Battery Energy Storage Systems in AC Microgrid
title_sort improved droop control for balancing state of charge of battery energy storage systems in ac microgrid
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In order to avoid overuse of a certain battery energy storage system (BESS) and prolong the cycle life of battery in AC microgrid, an improved SoC-based droop control based on multi-agent system (MAS) is proposed for achieving State of Charge (SoC) balance of multiple BESS units. A proportional-integral (PI) adjustment item using the average SoC is added to the P -f droop to regulate the charging and discharging power of BESS, then SoC changes towards in the direction of consistency and finally reaches equalization. The dynamic average consensus algorithm is utilized to obtain the average SoC. The proposed SoC-based droop method needs not to be changed in different operating mode of BESS and can achieve SoC balance regardless of whether the capacities of different batteries are the same, which improve the applicability of this method. A complete small-signal state space model including all BESS units is built and analyzed to select the appropriate control parameters of the improved droop. The impact of communication time delay on the improved droop method for balancing SoC is investigated and the effectiveness of the proposed strategy is verified through the simulation results of different case studies.
topic BESS
SoC-based droop control
SoC balance
small-signal state space model
url https://ieeexplore.ieee.org/document/9063539/
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