改进的三相并网逆变器双矢量无模型预测控制策略

doi:10.19595/j.cnki.1000-6753.tces.241180

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Abstract In recent years, renewable energy has seen rapid development. Microgrids effectively integrate the increasing share of renewable energy, enhancing power systems’ energy efficiency, flexibility, and stability. In microgrids, three-phase grid-connected inverters play a crucial role in ensuring the efficient utilization of renewable energy, as their grid current performance directly impacts the overall operation of the microgrid. Model predictive control (MPC), known for its excellent dynamic performance and multi-objective control capabilities, can effectively regulate the grid current of inverters. However, finite-control-set MPC (FCS-MPC) suffers from significant grid current ripple due to the absence of modulation. Furthermore, FCS-MPC is highly sensitive to changes in inverter parameters. Any mismatch between the model and actual parameters can compromise the accuracy of current prediction, leading to grid current distortion and potentially affecting system stability. This paper proposes an improved double-vector model-free predictive control (DV-MFPC) strategy for three-phase grid-connected inverters.

Key words： Three-phase grid-connected inverter model-free predictive control data model least square method double-vector

Received: 04 July 2024

PACS:

TM464

Fund:国家自然科学基金资助项目（52207184, 52377164, 52207208）

Corresponding Authors: 胡存刚男,1978年生,教授,研究方向为电力电子技术和新能源汽车电驱动等。E-mail: hcg@ahu.edu.cn

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	Rui Tao
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	Hu Cungang
	Feng Zhuangzhuang
	Lu Geye

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Rui Tao,Xu Wanlun,Hu Cungang等. Improved Model-Free Predictive Control Strategy for Three-Phase Grid-Connected Inverter with Double-Vector[J]. Transactions of China Electrotechnical Society, 2025, 40(18): 6029-6039.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241180 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I18/6029

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