The control strategy for distributed energy storage devices using fully diffusion strategy
The distributed energy storage device units (ESUs) in a DC energy storage power station (ESS) suffer the problems of overcharged and undercharged with uncertain initial state of charge (SOC), which may reduce the service period of ESUs. To address this problem, a distributed secondary control based...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025005559 |
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| author | Zejian Liu Ping Yang Xu Lin Ziwei Fan Cencen Hong |
| author_facet | Zejian Liu Ping Yang Xu Lin Ziwei Fan Cencen Hong |
| author_sort | Zejian Liu |
| collection | DOAJ |
| description | The distributed energy storage device units (ESUs) in a DC energy storage power station (ESS) suffer the problems of overcharged and undercharged with uncertain initial state of charge (SOC), which may reduce the service period of ESUs. To address this problem, a distributed secondary control based on diffusion strategy is proposed. In the first layer, each ESUs operates with its local controller by droop control. In the second layer controller, diffusion strategy coordinate the SOC of multiple distributed ESUs with uncertain initial SOC. Compared with centralized control, the proposed method contributes to a higher scalability and reliability. Diffusion strategy allows adjacent nodes to diffuse and cooperate information in real-time, and it includes a stochastic gradient term. Thus, diffusion strategy can achieve a higher convergence rate and lower mean-square-error than consensus strategies. For the second layer controller, first the coordinated control of ESUs is transformed into two optimization problems: the balanced output voltage and the balanced SOC of each ESU. Then, diffusion strategy is used to solve the optimization problems. Finally, a simulation model is built to verify the effectiveness of diffusion strategy. The results show that diffusion strategy always ensure the stability irrespective of the combination topology. Compared with the widely used consensus method, diffusion strategy shows a good performance in realizing demand response for distributed ESUs. |
| format | Article |
| id | doaj-art-3e21ffb0585c4071af337bcb3a3226e9 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-3e21ffb0585c4071af337bcb3a3226e92025-01-29T05:01:31ZengElsevierHeliyon2405-84402025-02-01113e42175The control strategy for distributed energy storage devices using fully diffusion strategyZejian Liu0Ping Yang1Xu Lin2Ziwei Fan3Cencen Hong4Key Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power Engineering, South China University of Technology, Guangzhou, 510640, ChinaKey Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power Engineering, South China University of Technology, Guangzhou, 510640, ChinaPower Dispatch Control Center, Guangdong Power Grid Corporation, Guangzhou, 510699, ChinaShenzhen Huagong Energy Technology Co., Ltd, Shenzhen, 518100,ChinaSchool of Automation, Nanjing Institute of Technology, Nanjing, 211167, China; Corresponding author.The distributed energy storage device units (ESUs) in a DC energy storage power station (ESS) suffer the problems of overcharged and undercharged with uncertain initial state of charge (SOC), which may reduce the service period of ESUs. To address this problem, a distributed secondary control based on diffusion strategy is proposed. In the first layer, each ESUs operates with its local controller by droop control. In the second layer controller, diffusion strategy coordinate the SOC of multiple distributed ESUs with uncertain initial SOC. Compared with centralized control, the proposed method contributes to a higher scalability and reliability. Diffusion strategy allows adjacent nodes to diffuse and cooperate information in real-time, and it includes a stochastic gradient term. Thus, diffusion strategy can achieve a higher convergence rate and lower mean-square-error than consensus strategies. For the second layer controller, first the coordinated control of ESUs is transformed into two optimization problems: the balanced output voltage and the balanced SOC of each ESU. Then, diffusion strategy is used to solve the optimization problems. Finally, a simulation model is built to verify the effectiveness of diffusion strategy. The results show that diffusion strategy always ensure the stability irrespective of the combination topology. Compared with the widely used consensus method, diffusion strategy shows a good performance in realizing demand response for distributed ESUs.http://www.sciencedirect.com/science/article/pii/S2405844025005559Diffusion strategyEnergy storage device unit (ESU)State-of-charge (SOC) equalizationVoltage compensation |
| spellingShingle | Zejian Liu Ping Yang Xu Lin Ziwei Fan Cencen Hong The control strategy for distributed energy storage devices using fully diffusion strategy Heliyon Diffusion strategy Energy storage device unit (ESU) State-of-charge (SOC) equalization Voltage compensation |
| title | The control strategy for distributed energy storage devices using fully diffusion strategy |
| title_full | The control strategy for distributed energy storage devices using fully diffusion strategy |
| title_fullStr | The control strategy for distributed energy storage devices using fully diffusion strategy |
| title_full_unstemmed | The control strategy for distributed energy storage devices using fully diffusion strategy |
| title_short | The control strategy for distributed energy storage devices using fully diffusion strategy |
| title_sort | control strategy for distributed energy storage devices using fully diffusion strategy |
| topic | Diffusion strategy Energy storage device unit (ESU) State-of-charge (SOC) equalization Voltage compensation |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025005559 |
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