Reinforcement Learning Based Weighting Factors’ Real-Time Updating Scheme for the FCS Model Predictive Control to Improve the Large-Signal Stability of Inverters-Reference-Cited by-同舟云学术

Reinforcement Learning Based Weighting Factors’ Real-Time Updating Scheme for the FCS Model Predictive Control to Improve the Large-Signal Stability of Inverters

Published:2022-11-30 Issue: Volume: Page:151-164
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Container-title:Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning
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Author:

Zhang Xin,He Jinsong,Ma Hao,Ma Zhixun,Ge Xiaohai

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7191-4_8

Reference24 articles.

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3. Z. Ma, Z. Xin, J. He, and Z. Zeng, “Robust Constant Switching Frequency Predictive Current Control with a Dichotomy Solution for Three-Phase Grid-Connected Inverters,” in 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018, pp. 5282–5285.

4. J. He, X. Zhang, H. Ma, and C. Cai, “Lyapunov-based Large-signal Control of Three- phase Stand-alone Inverters with Inherent Dual Control Loops and Load Disturbance Adaptivity,” IEEE Trans. Ind. Electron., vol. 68, no. 9, pp. 8391–8401, 2020.

5. J. Huang, F. Guo, C. Wen, B. Yang, and J. Xiao, “A direct power control strategy for AC/DC converter based on best switching state approach,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 6, no. 4, pp. 2273–2286, 2018.

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