Simplified finite set model predictive control strategy of grid-connected cascade H-bridge converter (Q328326)

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scientific article; zbMATH DE number 6641357
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Simplified finite set model predictive control strategy of grid-connected cascade H-bridge converter
scientific article; zbMATH DE number 6641357

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    Simplified finite set model predictive control strategy of grid-connected cascade H-bridge converter (English)
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    20 October 2016
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    Summary: Finite Set Model Predictive Control (FS-MPC) has become a promising control technology in power converter, because of the advantages of good dynamic response and accurate current tracking capability. In real-time control process, the conventional FS-MPC strategy requires more time for prediction and optimization. As a result, there will be a certain delay between sampling and output. In order to reduce the amount of calculation and overcome the adverse effect of the delay on the system performance, this paper presents a simplified FS-MPC method. Firstly, adjacent levels method is used to reduce the amount of the calculation, and then two-step FS-MPC is adopted to compensate the calculation delay. The control strategy is validated by the simulation and experimental results of a grid-connected cascaded H-bridge converter.
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    large scale renewable energy systems
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    model predictive control
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    nonlinear current control
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