论文标题
基于在线PMU的方法用于估计环境条件下动态负载参数的方法
Online PMU-Based Method for Estimating Dynamic Load Parameters in Ambient Conditions
论文作者
论文摘要
本文提出了一种新型的纯粹基于测量的方法，用于在存在随机负载波动时近乎实时估算动态载荷参数。通过利用回归定理进行Ornstein-Uhlenbeck过程，所提出的方法可以提供高度准确的估计，而无需有关功率系统模型的任何信息。此外，通过利用递归，开发了一种在线算法，以实时估算动态负载参数。对IEEE 39总线系统的仿真研究证明了无模型方法的准确性，其对测量噪声的鲁棒性以及在跟踪负载参数实时变化时的令人满意的性能。
This paper proposes a novel purely measurement-based method for estimating dynamic load parameters in near real-time when stochastic load fluctuations are present. By leveraging on the regression theorem for the Ornstein-Uhlenbeck process, the proposed method can provide highly accurate estimation without requiring any information about the power system model. Furthermore, by exploiting recursion, an online algorithm is developed to estimate the dynamic load parameters in near real-time. Simulation studies on the IEEE 39-Bus system demonstrate the accuracy of the model-free method, its robustness against measurement noise, as well as its satisfactory performance in tracking real-time changes of the load parameters.
