适应复杂电网的级联型储能变流器无模型自适应控制方法

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  • 1. 山东大学 控制科学与工程学院,济南 250061;

    2. 山东大学 电气工程学院,济南 250061

胡顺全(1976—),博士生,从事储能变流器技术、电能治理研究
陈阿莲,教授,博士生导师,电话(Tel.):0531-8892206;E-mail:chenalian@sdu.edu.cn

网络出版日期: 2025-04-28

基金资助

国家自然科学基金(U2006222),山东省重点研发计划(2024CXGC010307)

Model-Free Adaptive Control Method for Cascaded Energy Storage Converters Adapted to Complex Power Grids

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  • 1. School of Control Science and Engineering, Shandong University, Jinan 250061, China;

    2. School of Electrical Engineering, Shandong University, Jinan 250061, China

Online published: 2025-04-28

摘要

级联H桥储能系统可实现能量转移,平抑新能源发电波动,是提高新能源大规模利用率的优选方案,但其难以适应电网畸变和弱电网等复杂电网环境。为此,提出一种级联H桥储能变流器无模型自适应控制方法,提高适应复杂电网的能力。首先,在功率环设计增强型二阶广义积分器,准确提取电网电压基波分量,降低电网谐波干扰;其次,在电流环提出基于动态线性化理论的电流数据驱动模型,降低对模型参数的依赖,提高模型失配时变流器的鲁棒性和动态性。最后,搭建10kV/3MW高压大容量储能系统仿真模型和硬件在环实验平台,验证所提方法的有效性和可行性。

本文引用格式

胡顺全1, 陈阿莲1, 刘通2, 申钰齐1, 卢家璇1 . 适应复杂电网的级联型储能变流器无模型自适应控制方法[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2025.051

Abstract

Cascaded H-bridge energy storage system can achieve energy transfer and smooth the fluctuation of renewable energy generation, which is the preferred solution to improve the large-scale utilisation of renewable energy, but it is difficult to adapt to the complex grid environment such as grid distortion and weak grid. To address this limitation, a model-free adaptive control method for cascaded H-bridge energy storage converters is proposed to improve the capability of adapting to complex power grids. First, an enhanced second-order generalized integrator is designed in the power control loop to accurately extract the fundamental component of grid voltage, effectively mitigating harmonic interference. Second, a current data-driven model based on dynamic linearization theory is developed in the current control loop to reduce dependence on model parameters and improve the robustness and dynamics of the converter when the model is mismatched. Finally, a 10 kV/3 MW high-voltage, high-capacity energy storage system simulation model and a hardware-in-the-loop experimental platform are established to validate the effectiveness and feasibility of the proposed method.
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