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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Main Authors: Yalin Zhang, Yunzhong Song, Shumin Fei
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/2/726
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spelling 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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