Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids
Conventional model predictive power control (MPPC) features a simple concept and quick dynamic response. However, it relies heavily on the system model and its parameter accuracy. Furthermore, the steady ripples are still high due to the use of one voltage vector during one control period. Recently,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/14/6/1224 |
| _version_ | 1797481880307630080 |
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| author | Zeting Wang Qiyan Qu Yongchang Zhang Zeyu Min |
| author_facet | Zeting Wang Qiyan Qu Yongchang Zhang Zeyu Min |
| author_sort | Zeting Wang |
| collection | DOAJ |
| description | Conventional model predictive power control (MPPC) features a simple concept and quick dynamic response. However, it relies heavily on the system model and its parameter accuracy. Furthermore, the steady ripples are still high due to the use of one voltage vector during one control period. Recently, model-free predictive current control (MFPCC) has been proposed in the current control of PWM rectifiers. Despite the strong parameter robustness, the principle of MFPCC cannot be directly applied to power control, because the relationship between power and converter voltage is more complex. This paper first proposes a basic model-free predictive power control (MFPPC), which successfully extends the principle of MFPCC to power control. Subsequently, an improved MFPPC is proposed, which uses an extended finite control set of voltage vectors to improve the steady-state performance. Furthermore, by using the online updated ultralocal model of PWM rectifiers, the problem of stagnant power updating in basic MFPPC is solved. The ideal three-phase grid voltages are symmetrical and sinusoidal, but the actual grids are usually unsymmetrical. In this paper, the proposed method is extended to asymmetrical power grids by adding an appropriate compensated power to the original power references. The proposed basic MFPPC and improved MFPPC are compared to conventional MPPC. The presented experimental results confirm the effectiveness of the proposed methods. |
| first_indexed | 2024-03-09T22:21:52Z |
| format | Article |
| id | doaj.art-20dc0608fd0b49bcbb6dc368daddb685 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-09T22:21:52Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-20dc0608fd0b49bcbb6dc368daddb6852023-11-23T19:12:50ZengMDPI AGSymmetry2073-89942022-06-01146122410.3390/sym14061224Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical GridsZeting Wang0Qiyan Qu1Yongchang Zhang2Zeyu Min3Inverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, ChinaInverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaInverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, ChinaConventional model predictive power control (MPPC) features a simple concept and quick dynamic response. However, it relies heavily on the system model and its parameter accuracy. Furthermore, the steady ripples are still high due to the use of one voltage vector during one control period. Recently, model-free predictive current control (MFPCC) has been proposed in the current control of PWM rectifiers. Despite the strong parameter robustness, the principle of MFPCC cannot be directly applied to power control, because the relationship between power and converter voltage is more complex. This paper first proposes a basic model-free predictive power control (MFPPC), which successfully extends the principle of MFPCC to power control. Subsequently, an improved MFPPC is proposed, which uses an extended finite control set of voltage vectors to improve the steady-state performance. Furthermore, by using the online updated ultralocal model of PWM rectifiers, the problem of stagnant power updating in basic MFPPC is solved. The ideal three-phase grid voltages are symmetrical and sinusoidal, but the actual grids are usually unsymmetrical. In this paper, the proposed method is extended to asymmetrical power grids by adding an appropriate compensated power to the original power references. The proposed basic MFPPC and improved MFPPC are compared to conventional MPPC. The presented experimental results confirm the effectiveness of the proposed methods.https://www.mdpi.com/2073-8994/14/6/1224predictive controlpower controlPWM rectifierrobustness |
| spellingShingle | Zeting Wang Qiyan Qu Yongchang Zhang Zeyu Min Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids Symmetry predictive control power control PWM rectifier robustness |
| title | Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids |
| title_full | Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids |
| title_fullStr | Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids |
| title_full_unstemmed | Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids |
| title_short | Model-Free Predictive Power Control for PWM Rectifiers under Asymmetrical Grids |
| title_sort | model free predictive power control for pwm rectifiers under asymmetrical grids |
| topic | predictive control power control PWM rectifier robustness |
| url | https://www.mdpi.com/2073-8994/14/6/1224 |
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