Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge
In order to solve the problem of which the dynamic response of a supercapacitor (SC) is limited due to the mismatch dynamic characteristics between the DC/DC converter and supercapacitor in an energy storage system, this paper proposes a hybrid model predictive control strategy based on a dual activ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/11/2134 |
| _version_ | 1798024321665335296 |
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| author | Lujun Wang Jiong Guo Chen Xu Tiezhou Wu Huipin Lin |
| author_facet | Lujun Wang Jiong Guo Chen Xu Tiezhou Wu Huipin Lin |
| author_sort | Lujun Wang |
| collection | DOAJ |
| description | In order to solve the problem of which the dynamic response of a supercapacitor (SC) is limited due to the mismatch dynamic characteristics between the DC/DC converter and supercapacitor in an energy storage system, this paper proposes a hybrid model predictive control strategy based on a dual active bridge (DAB). The hybrid model predictive control model considers the supercapacitor and DAB in a unified way, including the equivalent series resistance and capacitance parameters of the SC. The method can obtain a large charging and discharging current of the SC, thereby not only improving the overall response speed of the system, but also expanding the actual capacity utilization range of the SC. The simulation results show that compared with the model prediction method of the dual active bridge converter, the proposed control method can effectively improve the overall response speed of the system, which can be improved by at least 0.4 ms. In addition, the proposed method increases the actual upper limit of the SC voltage, reduces the actual lower limit of the SC voltage, and then expands the actual capacity utilization range of the SC by 18.63%. The proposed method has good application prospects in improving the dynamic response performance of energy storage systems. |
| first_indexed | 2024-04-11T18:00:38Z |
| format | Article |
| id | doaj.art-242f1f7812ac4c27900d0d794cbd4b7c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:00:38Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-242f1f7812ac4c27900d0d794cbd4b7c2022-12-22T04:10:32ZengMDPI AGEnergies1996-10732019-06-011211213410.3390/en12112134en12112134Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active BridgeLujun Wang0Jiong Guo1Chen Xu2Tiezhou Wu3Huipin Lin4Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaIn order to solve the problem of which the dynamic response of a supercapacitor (SC) is limited due to the mismatch dynamic characteristics between the DC/DC converter and supercapacitor in an energy storage system, this paper proposes a hybrid model predictive control strategy based on a dual active bridge (DAB). The hybrid model predictive control model considers the supercapacitor and DAB in a unified way, including the equivalent series resistance and capacitance parameters of the SC. The method can obtain a large charging and discharging current of the SC, thereby not only improving the overall response speed of the system, but also expanding the actual capacity utilization range of the SC. The simulation results show that compared with the model prediction method of the dual active bridge converter, the proposed control method can effectively improve the overall response speed of the system, which can be improved by at least 0.4 ms. In addition, the proposed method increases the actual upper limit of the SC voltage, reduces the actual lower limit of the SC voltage, and then expands the actual capacity utilization range of the SC by 18.63%. The proposed method has good application prospects in improving the dynamic response performance of energy storage systems.https://www.mdpi.com/1996-1073/12/11/2134dual active bridgeSCenergy storagefast responsecapacity utilization |
| spellingShingle | Lujun Wang Jiong Guo Chen Xu Tiezhou Wu Huipin Lin Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge Energies dual active bridge SC energy storage fast response capacity utilization |
| title | Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge |
| title_full | Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge |
| title_fullStr | Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge |
| title_full_unstemmed | Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge |
| title_short | Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge |
| title_sort | hybrid model predictive control strategy of supercapacitor energy storage system based on double active bridge |
| topic | dual active bridge SC energy storage fast response capacity utilization |
| url | https://www.mdpi.com/1996-1073/12/11/2134 |
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