Data-Driven Feedback Linearization Control of Distributed Energy Resources Using Sparse Regression
Data-Driven Feedback Linearization Control of Distributed Energy Resources Using Sparse Regression
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DOI：
10.1109/tsg.2023.3298133
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发表时间：
2024-03
影响因子：
9.6
通讯作者：
J. Khazaei;A. Hosseinipour
中科院分区：
文献类型：
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作者：
J. Khazaei;A. Hosseinipour
复杂的基于物理的建模过程以及分布式能源内部参数的不确定性和机密性激发了智能电网中用于控制目的的系统识别工具。本文提出了一种基于非线性动力学（SINDy）稀疏辨识的数据驱动非线性建模与控制框架。利用所提出的数据驱动模型进行闭环控制，我们证明了无模型设计在智能电网der稳定性分析中的有效性。由于反馈线性化控制能较好地解决DER的非线性和弱交流电网整合问题，本研究选择了反馈线性化控制而不是传统的矢量控制。与现有基于物理的设计严重依赖于了解详细的系统动力学或依赖于大量历史数据的不可解释的数据驱动设计相比，本文提出的无模型DER识别和控制框架可以根据现有测量准确捕获DER的动态，并为黑启动、弱交流电网集成、微电网集成和稳定性分析提供有保障的性能。除了详细的特征值分析外，还进行了实时和离线仿真，以比较所提出的数据驱动方法与基于物理的控制器的有效性。
A complex physics-based modeling procedure and the uncertainty and confidentiality of internal parameters of distributed energy resources (DERs) motivate system identification tools for control purposes in smart grids. This paper develops a framework for data-driven nonlinear modeling and control of DERs using sparse identification of nonlinear dynamics (SINDy). Using the proposed data-driven model for closed-loop control, we demonstrate the effectiveness of a model-free design in stability analysis of DERs in smart grids. Feedback linearization control of DERs was chosen over conventional vector control in this research due to its superior capability of accounting for DER nonlinearities and weak AC grid integration. Compared with existing physics-based designs that heavily rely on knowing the detailed system dynamics or uninterpretable data-driven designs that rely on large historical data, the proposed model-free DER identification and control framework can accurately capture the dynamics of the DERs based on available measurements and provide guaranteed performance for black-start, weak AC grid integration, microgrid integration, and stability analysis. Real-time and offline simulations in addition to a detailed eigenvalue analysis are conducted to compare the effectiveness of the proposed data-driven approach with physics-based controllers.