Unconstrained optimization MPC method for qZSI-VSG grid-connected wind power system

As the wind power generation becomes increasingly popular, the conventional inverter control methods may lead to power grid instability due to the reduction of inertia and susceptibility to parameter variations. In order to address this problem, a virtual synchronous generation (VSG) technology is combined with the quasi Z-source inverter (qZSI), which has the built-in boost function. To begin with, a finite switch sequence control strategy and an unconstrained optimization model predictive control (MPC) strategy are introduced to achieve multi-objective optimal control of the qZSI-VSG system. The average switching frequency of the inverter is reduced, the ability of the system to mitigate fluctuations in wind turbine output is enhanced, and the current harmonics are minimized. In addition, the computational complexity of the algorithm is simplified by eliminating the need for weight coefficients to be directly added to the cost function. Finally, the correctness and effectiveness of the proposed control strategy are verified by theoretical analysis and experimental results. Overall, this approach offers a promising solution to the challenges posed by the increasing integration of wind power into the power grid.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-10-08
DOI
https://doi.org/10.1016/j.ijepes.2024.110276
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Unconstrained optimization MPC method for qZSI-VSG grid-connected wind power system

Zhongjian Tang, Yang Zhang, Sicheng Li, Bing Luo et al.
2 citations
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
0.66
article

Unconstrained optimization MPC method for qZSI-VSG grid-connected wind power system

Zhongjian Tang, Yang Zhang, Sicheng Li, Bing Luo, Yihan Liu
article en
2 citations

Abstract

As the wind power generation becomes increasingly popular, the conventional inverter control methods may lead to power grid instability due to the reduction of inertia and susceptibility to parameter variations. In order to address this problem, a virtual synchronous generation (VSG) technology is combined with the quasi Z-source inverter (qZSI), which has the built-in boost function. To begin with, a finite switch sequence control strategy and an unconstrained optimization model predictive control (MPC) strategy are introduced to achieve multi-objective optimal control of the qZSI-VSG system. The average switching frequency of the inverter is reduced, the ability of the system to mitigate fluctuations in wind turbine output is enhanced, and the current harmonics are minimized. In addition, the computational complexity of the algorithm is simplified by eliminating the need for weight coefficients to be directly added to the cost function. Finally, the correctness and effectiveness of the proposed control strategy are verified by theoretical analysis and experimental results. Overall, this approach offers a promising solution to the challenges posed by the increasing integration of wind power into the power grid.

International Journal of Electrical Power & Energy SystemsVol. 162
Electric Power Research Institute (US), Hunan University of Technology (CN)
National Natural Science Foundation of China, Key Research and Development Program of Hunan Province of China
Affordable and clean energy
Openalex Percentile: Top 30%
Microgrid Control and Optimization
0.66
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