Equalized Distributed Control Strategy for AC Microgrid Energy Storage SOCs

Most of the previous SOC equalization methods for microgrid energy storage target DC microgrids and use centralized control structures, while in recent years many researchers have begun to focus on a decentralized, communication-based implementation of distributed control structures. In this paper,...

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Veröffentlicht in:Energies (Basel) Jg. 17; H. 18; S. 4695
Hauptverfasser: Li, Qingsheng, Lu, Kaicheng, Zhu, Yongqing, Zhang, Zhaofeng, Li, Zhen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.09.2024
Schlagworte:
AC microgrids
Algorithms
Batteries
Communication
consistency algorithm
Control algorithms
Control systems
Energy storage
event-driven
Methods
multi-agent system
Multi-agent systems
Optimization
Power supply
soc equalization
China
ISSN:1996-1073, 1996-1073
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Abstract Most of the previous SOC equalization methods for microgrid energy storage target DC microgrids and use centralized control structures, while in recent years many researchers have begun to focus on a decentralized, communication-based implementation of distributed control structures. In this paper, based on the existing research, we use the multi-agent system (MAS) structure and dynamic consistency algorithm (DCA) to realize the estimation of the SOC mean value of microgrid energy storage obtained by each agent in the system. For the problems of the iterative convergence that exists in the distributed control, such as being too slow, too frequent communication, stability, etc., we optimally select the parameters of the consistency iterative summation to improve convergence. In addition, we use the event-driven method to further reduce the unnecessary communication frequency. Finally, a numerical simulation model of the AC microgrid is established by Matlab to verify the effectiveness of the method, which reduces the communication volume by about 50% while maintaining the effect of the control strategy.
AbstractList Most of the previous SOC equalization methods for microgrid energy storage target DC microgrids and use centralized control structures, while in recent years many researchers have begun to focus on a decentralized, communication-based implementation of distributed control structures. In this paper, based on the existing research, we use the multi-agent system (MAS) structure and dynamic consistency algorithm (DCA) to realize the estimation of the SOC mean value of microgrid energy storage obtained by each agent in the system. For the problems of the iterative convergence that exists in the distributed control, such as being too slow, too frequent communication, stability, etc., we optimally select the parameters of the consistency iterative summation to improve convergence. In addition, we use the event-driven method to further reduce the unnecessary communication frequency. Finally, a numerical simulation model of the AC microgrid is established by Matlab to verify the effectiveness of the method, which reduces the communication volume by about 50% while maintaining the effect of the control strategy.
Audience Academic
Author Zhang, Zhaofeng
Li, Zhen
Zhu, Yongqing
Lu, Kaicheng
Li, Qingsheng
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10.1109/TSG.2017.2672882
10.1109/TIE.2014.2363817
10.1109/MELE.2017.2685818
10.1109/ICGEA.2019.8880766
10.1109/APEC.2015.7104773
10.1109/AEEES61147.2024.10544605
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10.1109/MED54222.2022.9837173
10.1109/TSTE.2020.2982205
10.1109/TAC.2011.2174666
10.1109/TIE.2010.2066534
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SubjectTerms AC microgrids
Algorithms
Batteries
Communication
consistency algorithm
Control algorithms
Control systems
Energy storage
event-driven
Methods
multi-agent system
Multi-agent systems
Optimization
Power supply
soc equalization
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Title Equalized Distributed Control Strategy for AC Microgrid Energy Storage SOCs
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