Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems
With an emphasis placed on a low-carbon economy, photovoltaic grid-connected inverters are moving toward the center of the stage. In order to address the problems related to the strong parameter dependence of the conventional model’s predictive control in grid-connected inverters, an improved parame...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/15/8976 |
| _version_ | 1797587037277126656 |
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| author | Zhilong Yin Guoze Xu Feng Yu Zhiguo Wang Shuilian Xue |
| author_facet | Zhilong Yin Guoze Xu Feng Yu Zhiguo Wang Shuilian Xue |
| author_sort | Zhilong Yin |
| collection | DOAJ |
| description | With an emphasis placed on a low-carbon economy, photovoltaic grid-connected inverters are moving toward the center of the stage. In order to address the problems related to the strong parameter dependence of the conventional model’s predictive control in grid-connected inverters, an improved parameter-free predictive current control is proposed. Relying on an extended state observer, an ultralocal model is employed to predict future currents without any parameters. The system can achieve a satisfactory performance in terms of dynamic response and robustness. Additionally, 30 virtual voltage vectors are extended for lower current ripples, which is followed by the use of a triangle candidate strategy to significantly ease the computing burden. In general, the proposed strategy omits parameter dependence, complex tuning work, and large tracking errors. The effectiveness of the proposed model is verified through the experimental results. |
| first_indexed | 2024-03-11T00:31:34Z |
| format | Article |
| id | doaj.art-a8247dc65a394862a2d7389e18b39751 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:31:34Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a8247dc65a394862a2d7389e18b397512023-11-18T22:40:02ZengMDPI AGApplied Sciences2076-34172023-08-011315897610.3390/app13158976Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV SystemsZhilong Yin0Guoze Xu1Feng Yu2Zhiguo Wang3Shuilian Xue4Xi’an Dynamic Inspection and Testing Co., Ltd., Xi’an 710000, ChinaHuaneng Jinchang Photovoltaic Power Generation Co., Ltd., Jinchang 737100, ChinaSchool of Electrical Engineering, Nantong University, Nantong 226000, ChinaXi’an Dynamic Inspection and Testing Co., Ltd., Xi’an 710000, ChinaNanjing Moral Testing and Certification Co., Ltd., Nanjing 210000, ChinaWith an emphasis placed on a low-carbon economy, photovoltaic grid-connected inverters are moving toward the center of the stage. In order to address the problems related to the strong parameter dependence of the conventional model’s predictive control in grid-connected inverters, an improved parameter-free predictive current control is proposed. Relying on an extended state observer, an ultralocal model is employed to predict future currents without any parameters. The system can achieve a satisfactory performance in terms of dynamic response and robustness. Additionally, 30 virtual voltage vectors are extended for lower current ripples, which is followed by the use of a triangle candidate strategy to significantly ease the computing burden. In general, the proposed strategy omits parameter dependence, complex tuning work, and large tracking errors. The effectiveness of the proposed model is verified through the experimental results.https://www.mdpi.com/2076-3417/13/15/8976grid-connected inverterparameter-free predictive current controlextended state observertriangle candidate strategy |
| spellingShingle | Zhilong Yin Guoze Xu Feng Yu Zhiguo Wang Shuilian Xue Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems Applied Sciences grid-connected inverter parameter-free predictive current control extended state observer triangle candidate strategy |
| title | Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems |
| title_full | Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems |
| title_fullStr | Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems |
| title_full_unstemmed | Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems |
| title_short | Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems |
| title_sort | low current ripple parameter free mpcc of grid connected inverters for pv systems |
| topic | grid-connected inverter parameter-free predictive current control extended state observer triangle candidate strategy |
| url | https://www.mdpi.com/2076-3417/13/15/8976 |
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