
Proceedings Paper
Dual mode switching strategy of LCL grid connected converter based on model predictive controlFormat | Member Price | Non-Member Price |
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Paper Abstract
High permeability wind power, photovoltaic and other new energy power generation systems make the power grid present the characteristics of weak grids. However, the grid connected converter used in new energy power generation is mainly controlled by current source mode (CSM), which is prone to resonance under the condition of weak grids. To solve this issue, this paper studied the basic principle of dual-mode switching based on model predictive control, and put forward a dual-mode switching control scheme of LCL grid connected converter. When the grid impedance becomes larger, the inverter control is switched to voltage source mode (VSM). The proposed method can realize the smooth switching of amplitude and angle between the two modes, and ensures the stable operation of grid connected converter. Simulation results show the effectiveness and feasibility of the proposed scheme.
Paper Details
Date Published: 17 May 2022
PDF: 6 pages
Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122594W (17 May 2022); doi: 10.1117/12.2639984
Published in SPIE Proceedings Vol. 12259:
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022)
Hari Mohan Srivastava; Chi-Hua Chen, Editor(s)
PDF: 6 pages
Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122594W (17 May 2022); doi: 10.1117/12.2639984
Show Author Affiliations
Leilei Guo, Zhengzhou University of Light Industry (China)
Mingzhe Zheng, Zhengzhou University of Light Industry (China)
Yanyan Li, Zhengzhou University of Light Industry (China)
Mingzhe Zheng, Zhengzhou University of Light Industry (China)
Yanyan Li, Zhengzhou University of Light Industry (China)
Nan Jin, Zhengzhou University of Light Industry (China)
Pengfei Gao, Zhengzhou University of Light Industry (China)
Pengfei Gao, Zhengzhou University of Light Industry (China)
Published in SPIE Proceedings Vol. 12259:
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022)
Hari Mohan Srivastava; Chi-Hua Chen, Editor(s)
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