论文标题
数据驱动的多进食混合AC-DC系统的紧急频率控制
Data-driven Emergency Frequency Control for Multi-Infeed Hybrid AC-DC System
论文作者
论文摘要
随着大规模复杂混合AC-DC网格的持续开发，网格需要HVDC系统的快速调节性才能提供频率调节服务。本文为HVDC提供了完全数据驱动的线性二次调节器（LQR），以提供时间频率支持。主要的技术挑战是多进食混合AC-DC（MIDC）系统动力学的复杂性和非线性，使LQR棘手。基于Koopman操作员（KO）理论，开发了Koopman Eigenpairs构造方法，以适合MIDC系统的全局线性动态模型。一旦离线获得了不受控制的系统动力学的全球线性表示，控制项就由已确定的特征函数的梯度和控制矩阵$ \ Mathbf {B} $构成。如果$ \ mathbf {b} $未知，我们提出了一种基于经过验证的Koopman eigenfunctions识别它的方法。主动功率参考将以移动视野的方式在线优化LCC-HVDC，以提供频率支持，仅具有局部频率和传输功率测量。分析了提出的控制方法的鲁棒性，以分析特征功能坐标中线性表示的近似误差。仿真结果显示了拟议的紧急控制策略的有效性，鲁棒性和适应性。
With the continuous development of large-scale complex hybrid AC-DC grids, the fast adjustability of HVDC systems is required by the grid to provide frequency regulation services. This paper develops a fully data-driven linear quadratic regulator (LQR) for the HVDC to provide temporal frequency support. The main technical challenge is the complexity and the nonlinearity of multi-infeed hybrid AC-DC (MIDC) systems dynamics that make the LQR intractable. Based on Koopman operator (KO) theory, a Koopman eigenpairs construction method is developed to fit a global linear dynamic model of MIDC systems. Once globally linear representation of uncontrolled system dynamics is obtained offline, the control term is constituted by the gradient of the identified eigenfunctions and the control matrix $\mathbf{B}$. In case that $\mathbf{B}$ is unknown, we propose a method to identify it based on the verified Koopman eigenfunctions. The active power reference is optimized online for LCC-HVDC in a moving horizon fashion to provide frequency support, with only local frequency and transmission power measurements. The robustness of the proposed control method against approximation errors of the linear representation in eigenfunction coordinates is analyzed. Simulation results show the effectiveness, robustness and adaptability of the proposed emergency control strategy.
