SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System
Since high power energy transmission is required for a grid-level energy storage system, a high-power energy storage system based on modular multilevel converter (MMC) is very promising at present. However, in order to produce desired high power, an MMC-based energy storage system needs to be constr...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10026220/ |
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| author | Shijie Yan Qianxiang Shen Xiangjun Li Shuo Li Enhui Chu |
| author_facet | Shijie Yan Qianxiang Shen Xiangjun Li Shuo Li Enhui Chu |
| author_sort | Shijie Yan |
| collection | DOAJ |
| description | Since high power energy transmission is required for a grid-level energy storage system, a high-power energy storage system based on modular multilevel converter (MMC) is very promising at present. However, in order to produce desired high power, an MMC-based energy storage system needs to be constructed by cascading a large number of energy storage units, which will make it difficult to balance state of charge (SOC) of these units. To solve SOC unbalancing of these units, special modeling and control methods are employed and an SOC balancing controller is designed. First, a high-power energy storage system is modeled as a multi-agent model. Then, an event-trigger control method is used to control information transmission and operation period of the energy storage agent, which further reduces the amount of communication and computation. Moreover, observers are designed to estimate battery current, which can reduce in half the amount of status information that needs to be collected. Finally, the simulation platform of the MMC-based storage system is established with MATLAB, the proposed SOC balancing control method is simulated and its validity is verified. |
| format | Article |
| id | doaj-art-0b5c16fbb0bf4e1aa725896a39614726 |
| institution | DOAJ |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-0b5c16fbb0bf4e1aa725896a396147262025-08-20T03:11:17ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-011131253126110.17775/CSEEJPES.2021.0835010026220SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage SystemShijie Yan0Qianxiang Shen1Xiangjun Li2Shuo Li3Enhui Chu4College of Information Science and Engineering, Northeastern University,Shenyang,China,110819College of Information Science and Engineering, Northeastern University,Shenyang,China,110819China Electric Power Research Institute,State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems,Energy Storage and Electrical Engineering Department,Beijing,China,100192College of Information Science and Engineering, Northeastern University,Shenyang,China,110819College of Information Science and Engineering, Northeastern University,Shenyang,China,110819Since high power energy transmission is required for a grid-level energy storage system, a high-power energy storage system based on modular multilevel converter (MMC) is very promising at present. However, in order to produce desired high power, an MMC-based energy storage system needs to be constructed by cascading a large number of energy storage units, which will make it difficult to balance state of charge (SOC) of these units. To solve SOC unbalancing of these units, special modeling and control methods are employed and an SOC balancing controller is designed. First, a high-power energy storage system is modeled as a multi-agent model. Then, an event-trigger control method is used to control information transmission and operation period of the energy storage agent, which further reduces the amount of communication and computation. Moreover, observers are designed to estimate battery current, which can reduce in half the amount of status information that needs to be collected. Finally, the simulation platform of the MMC-based storage system is established with MATLAB, the proposed SOC balancing control method is simulated and its validity is verified.https://ieeexplore.ieee.org/document/10026220/Energy storage unitevent-triggered controlhigh power energy storage systemmodular multilevel converterSOC balancingstate observer |
| spellingShingle | Shijie Yan Qianxiang Shen Xiangjun Li Shuo Li Enhui Chu SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System CSEE Journal of Power and Energy Systems Energy storage unit event-triggered control high power energy storage system modular multilevel converter SOC balancing state observer |
| title | SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System |
| title_full | SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System |
| title_fullStr | SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System |
| title_full_unstemmed | SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System |
| title_short | SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System |
| title_sort | soc balancing control based on multi agent for multiple energy storage units in mmc high power energy storage system |
| topic | Energy storage unit event-triggered control high power energy storage system modular multilevel converter SOC balancing state observer |
| url | https://ieeexplore.ieee.org/document/10026220/ |
| work_keys_str_mv | AT shijieyan socbalancingcontrolbasedonmultiagentformultipleenergystorageunitsinmmchighpowerenergystoragesystem AT qianxiangshen socbalancingcontrolbasedonmultiagentformultipleenergystorageunitsinmmchighpowerenergystoragesystem AT xiangjunli socbalancingcontrolbasedonmultiagentformultipleenergystorageunitsinmmchighpowerenergystoragesystem AT shuoli socbalancingcontrolbasedonmultiagentformultipleenergystorageunitsinmmchighpowerenergystoragesystem AT enhuichu socbalancingcontrolbasedonmultiagentformultipleenergystorageunitsinmmchighpowerenergystoragesystem |