Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy
Electric springs (ESs) are novel electric-power devices that alleviate power-quality problems such as voltage fluctuations induced by grid access to renewable energy resources. However, with the continuous increase of uncertain factors such as parameter perturbation and external disturbance, the env...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/13/4842 |
| _version_ | 1797480119020814336 |
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| author | Fagen Yin Chun Wang Weizhang Wang |
| author_facet | Fagen Yin Chun Wang Weizhang Wang |
| author_sort | Fagen Yin |
| collection | DOAJ |
| description | Electric springs (ESs) are novel electric-power devices that alleviate power-quality problems such as voltage fluctuations induced by grid access to renewable energy resources. However, with the continuous increase of uncertain factors such as parameter perturbation and external disturbance, the environment becomes more complicated, so traditional linear controllers for ESs are finding it increasingly difficult to meet the control requirements due to narrow stability regions, low precision, and poor robustness. To overcome this problem, we propose herein a control method that combines adaptive control and sliding-mode control and apply it to ESs. First, an inexact model of the ES system was established and analyzed. Next, an ES control system was designed based on adaptive sliding-mode control, and then the asymptotic stability of the closed-loop system is proven. Finally, the proposed control system was verified through a MATLAB simulation. The results show that adaptive sliding-mode control not only ensures the voltage stability of critical loads in the microgrid but also resists the influence of parameter perturbation and external disturbances, leading to better steady-state and dynamic performance than a linear controller. |
| first_indexed | 2024-03-09T21:56:01Z |
| format | Article |
| id | doaj.art-b3212fecc6bd4f5abb44927cb401a9b0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:56:01Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b3212fecc6bd4f5abb44927cb401a9b02023-11-23T19:58:24ZengMDPI AGEnergies1996-10732022-07-011513484210.3390/en15134842Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable EnergyFagen Yin0Chun Wang1Weizhang Wang2School of Information Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330031, ChinaState Grid Nanchang Power Supply Company, Nanchang 330096, ChinaElectric springs (ESs) are novel electric-power devices that alleviate power-quality problems such as voltage fluctuations induced by grid access to renewable energy resources. However, with the continuous increase of uncertain factors such as parameter perturbation and external disturbance, the environment becomes more complicated, so traditional linear controllers for ESs are finding it increasingly difficult to meet the control requirements due to narrow stability regions, low precision, and poor robustness. To overcome this problem, we propose herein a control method that combines adaptive control and sliding-mode control and apply it to ESs. First, an inexact model of the ES system was established and analyzed. Next, an ES control system was designed based on adaptive sliding-mode control, and then the asymptotic stability of the closed-loop system is proven. Finally, the proposed control system was verified through a MATLAB simulation. The results show that adaptive sliding-mode control not only ensures the voltage stability of critical loads in the microgrid but also resists the influence of parameter perturbation and external disturbances, leading to better steady-state and dynamic performance than a linear controller.https://www.mdpi.com/1996-1073/15/13/4842microgridvoltage stabilityelectric spring (ES)adaptive predictionsliding mode controller |
| spellingShingle | Fagen Yin Chun Wang Weizhang Wang Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy Energies microgrid voltage stability electric spring (ES) adaptive prediction sliding mode controller |
| title | Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy |
| title_full | Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy |
| title_fullStr | Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy |
| title_full_unstemmed | Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy |
| title_short | Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy |
| title_sort | adaptive sliding mode control for electric spring in microgrids with distributed renewable energy |
| topic | microgrid voltage stability electric spring (ES) adaptive prediction sliding mode controller |
| url | https://www.mdpi.com/1996-1073/15/13/4842 |
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