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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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/ |
work_keys_str_mv |
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