A Model Predictive Control for Gird-Forming Voltage Source Converter

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Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023) (PMF 2023)

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Abstract

In response to the issue of insufficient frequency and voltage regulation capability in high-penetration renewable energy system, a control strategy combining grid-forming voltage source converter (GFM-VSC) with model predictive control (MPC) is proposed. Based on the main circuit topology of the converter, a power prediction model is established. Then a cost function concerning both inductor current and power output is constructed and a control strategy based on the which is introduced. A fast dynamic response to frequency and voltage variations has been achieved. Simulations have confirmed the effectiveness of the proposed control strategy.

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Acknowledgments

This work is supported by National Key Research and Development Program of China (2022YFB2402700).

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Correspondence to ** Zheng

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    Song, X., Zhou, S., Wang, W., Chen, W., Wei, Z., Yang, D. (2024). A Model Predictive Control for Gird-Forming Voltage Source Converter. In: Xue, Y., Zheng, Y., Gómez-Expósito, A. (eds) Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023). PMF 2023. Lecture Notes in Electrical Engineering, vol 1129. Springer, Singapore. https://doi.org/10.1007/978-981-99-9251-5_18

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    • DOI: https://doi.org/10.1007/978-981-99-9251-5_18

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    • Publisher Name: Springer, Singapore

    • Print ISBN: 978-981-99-9250-8

    • Online ISBN: 978-981-99-9251-5

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