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Nonsmooth Optimization-Based WADC Tuning in Large Delayed Cyber-Physical Power System by Interarea Mode Tracking and Gradient Sampling

机译:区域间模式跟踪和梯度采样的大型延迟网络物理电力系统中基于非平滑优化的WADC调整

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摘要

This paper presents a nonsmooth optimization-based method to optimally tune wide-area damping controllers in large delayed cyber-physical power system (DCPPS). The objective is to maximize the damping ratios of the weakly damped interarea oscillation modes under multiple operating conditions. An eigenvalue-perturbation and receding-tracking method is then proposed to reliably trace the targeted interarea oscillation modes during the optimization process. The Broyden–Fletcher–Goldfarb–Shanno method combined with the gradient sampling technique is employed to efficiently solve the presented nonsmooth, nonconvex, and nonlinear eigenvalue optimization-based problem. The effectiveness of the proposed method is validated by the significantly improved damping of the interarea oscillation modes in the two-area four-machine test system and a real-life large DCPPS.
机译:本文提出了一种基于非平滑优化的方法,可以对大型延迟网络物理电力系统(DCPPS)中的广域阻尼控制器进行最佳调整。目的是在多个工作条件下最大化弱阻尼区域间振荡模式的阻尼比。然后提出了一种特征值摄动和后退跟踪方法,以在优化过程中可靠地跟踪目标区域间振荡模式。 Broyden-Fletcher-Goldfarb-Shanno方法与梯度采样技术相结合,可有效解决所提出的基于非光滑,非凸和非线性特征值优化的问题。该方法的有效性通过两区域四机测试系统中的区域间振荡模式的阻尼显着提高以及现实生活中的大型DCPPS得以验证。

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