控制反演：一种基于聚类的分布式广域控制方法用于电力系统
Control Inversion: A Clustering-Based Method for Distributed Wide-Area Control of Power Systems
AI总结：
本文提出基于聚类的控制反演方法，通过降维状态空间设计LQR控制器，解决广域控制的可扩展性和实现复杂性问题，验证了其在48机电力系统中的有效性。
摘要：
广域控制（WAC）已被证明是抑制电力系统低频振荡的有效工具。在当前状态下，WAC面临两个主要挑战：即设计的可扩展性和实现的复杂性。本文提出一种名为控制反演的控制设计方法，利用聚类思想克服这两个挑战。该方法的基本思想是通过聚类和聚合发电机状态将原始电力系统模型投影到低维状态空间，然后为低维模型设计LQR控制器。最终将该控制器投影回原始坐标以实现广域应用。主要问题是找到最佳匹配WAC控制器与参考LQR控制器抑制低频振荡闭环性能的投影。通过NPCC 48机电力系统模型验证了所提设计的有效性。
英文摘要：
Wide-area control (WAC) has been shown to be an effective tool for damping low-frequency oscillations in power systems. In the current state of art, WAC is challenged by two main factors - namely, scalability of design and complexity of implementation. In this paper we present a control design called control inversion that bypasses both of these challenges using the idea of clustering. The basic philosophy behind this method is to project the original power system model into a lower-dimensional state-space through clustering and aggregation of generator states, and then designing an LQR controller for the lower-dimensional model. This controller is finally projected back to the original coordinates for wide-area implementation. The main problem is, therefore, posed as finding the projection which best matches the closed-loop performance of the WAC controller with that of a reference LQR controller for damping low-frequency oscillations. We verify the effectiveness of the proposed design using the NPCC 48-machine power system model.
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