Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor
This paper proposes a hierarchical control strategy to coordinate battery energy storage devices based on a multi-agent system. The heterogeneous nature of the battery volume is paid much more attention in designing the proportional protocol of the consensus controller. Besides that, a cluster algor...
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doaj-35ddc13445e74b5faf4be6968543256e2020-11-25T01:30:13ZengMDPI AGApplied Sciences2076-34172020-01-0110272610.3390/app10020726app10020726Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical FactorYalin Zhang0Yunzhong Song1Shumin Fei2School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Automation, Southeast University, Nanjing 210096, ChinaThis paper proposes a hierarchical control strategy to coordinate battery energy storage devices based on a multi-agent system. The heterogeneous nature of the battery volume is paid much more attention in designing the proportional protocol of the consensus controller. Besides that, a cluster algorithm based on Minimum Spanning Tree (MST) is suggested to represent geographical factor, and on account of that, each Battery Energy Storage System (BESS) is classified into its specific cluster zone. Further, an active leader is assigned to be in charge of information from the external side in every cluster. The consensus algorithm reconciles all clusters in a step-by-step way. Energy level, voltage, frequency and active/reactive power sharing of every BESS can reach consensus by an information exchange within and among clusters respectively. Further, a virtual leader is taken into the active leader role in directing frequency and voltage to the reference values. To verify the consensus algorithm, a modified IEEE 57-bus is employed for time-domain simulations in an islanded mode and all BESSs are working in a discharge model.https://www.mdpi.com/2076-3417/10/2/726battery energy storage system (bess)consensusgeographical factorsmart grid |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yalin Zhang Yunzhong Song Shumin Fei |
spellingShingle |
Yalin Zhang Yunzhong Song Shumin Fei Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor Applied Sciences battery energy storage system (bess) consensus geographical factor smart grid |
author_facet |
Yalin Zhang Yunzhong Song Shumin Fei |
author_sort |
Yalin Zhang |
title |
Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor |
title_short |
Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor |
title_full |
Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor |
title_fullStr |
Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor |
title_full_unstemmed |
Consensus Design for Heterogeneous Battery Energy Storage Systems with Droop Control Considering Geographical Factor |
title_sort |
consensus design for heterogeneous battery energy storage systems with droop control considering geographical factor |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-01-01 |
description |
This paper proposes a hierarchical control strategy to coordinate battery energy storage devices based on a multi-agent system. The heterogeneous nature of the battery volume is paid much more attention in designing the proportional protocol of the consensus controller. Besides that, a cluster algorithm based on Minimum Spanning Tree (MST) is suggested to represent geographical factor, and on account of that, each Battery Energy Storage System (BESS) is classified into its specific cluster zone. Further, an active leader is assigned to be in charge of information from the external side in every cluster. The consensus algorithm reconciles all clusters in a step-by-step way. Energy level, voltage, frequency and active/reactive power sharing of every BESS can reach consensus by an information exchange within and among clusters respectively. Further, a virtual leader is taken into the active leader role in directing frequency and voltage to the reference values. To verify the consensus algorithm, a modified IEEE 57-bus is employed for time-domain simulations in an islanded mode and all BESSs are working in a discharge model. |
topic |
battery energy storage system (bess) consensus geographical factor smart grid |
url |
https://www.mdpi.com/2076-3417/10/2/726 |
work_keys_str_mv |
AT yalinzhang consensusdesignforheterogeneousbatteryenergystoragesystemswithdroopcontrolconsideringgeographicalfactor AT yunzhongsong consensusdesignforheterogeneousbatteryenergystoragesystemswithdroopcontrolconsideringgeographicalfactor AT shuminfei consensusdesignforheterogeneousbatteryenergystoragesystemswithdroopcontrolconsideringgeographicalfactor |
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1725092867197632512 |