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Wide-area measurement signal-based stabiliser for large-scale photovoltaic plants with high variability and uncertainty

机译:适用于大型光伏电站的基于广域测量信号的稳定器,具有高可变性和不确定性

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摘要

In this study, norm bounded linear quadratic Gaussian controller synthesis method is utilised to design a wide-area measurement signal (WAMS)-based power oscillation damping controller at photovoltaics (PV) plants. The uncertainties associated with the system are confined by the system matrices which are the affine functions of parameters belong to a convex polytopic region. A hybrid method based on Hankel singular value (HSV) and right-half-plane zeros (RHP-zeros) is utilised to assess and select the optimal feedback signal for the PV wide-area damping controller. First, the HSVs of the delayed subsystems are employed to preselect the candidate signals for damping the target mode. Then, the RHP-zeros and the modal interaction measures of the candidate signals are evaluated. Finally, the signal with minimum variance in HSV and modal interaction over the wide range of operating conditions is selected as the optimal feedback signal for the controller design. The wide range of operating conditions is obtained by the probabilistic distribution of loads, synchronous generators and PVs. The approach has been tested on a large 16 machine, 68 bus test system as compared to geometric measures of controllability/observability method and has shown improved performance.
机译:在这项研究中,范数有界线性二次高斯控制器综合方法被用来设计一个基于广域测量信号(WAMS)的光伏(PV)工厂的功率振荡阻尼控制器。与系统相关联的不确定性由系统矩阵限制,系统矩阵是参数的仿射函数,属于凸多边形区域。基于Hankel奇异值(HSV)和右半平面零点(RHP-zeros)的混合方法用于评估和选择PV广域阻尼控制器的最佳反馈信号。首先,采用延迟子系统的HSV来预先选择候选信号以衰减目标模式。然后,评估候选信号的RHP零和模态交互作用度量。最后,在广泛的工作条件范围内,HSV和模态相互作用具有最小方差的信号被选作控制器设计的最佳反馈信号。通过负载,同步发电机和PV的概率分布,可以获得广泛的运行条件。与可控性/可观察性方法的几何度量相比,该方法已在大型16机,68总线测试系统上进行了测试,并显示出改进的性能。

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