Robust Frequency Divider for Power System Online Monitoring and Control
Robust Frequency Divider for Power System Online Monitoring and Control
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DOI：
10.1109/tpwrs.2017.2785348
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发表时间：
2018-07
影响因子：
6.6
通讯作者：
Junbo Zhao;L. Mili;F. Milano
中科院分区：
文献类型：
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作者：
Junbo Zhao;L. Mili;F. Milano
精确的本地总线频率对于由分布式能源、灵活负载等提供的电力系统频率调节至关重要。本文提出了一种用于在线总线频率估计的鲁棒分频器。我们的RFD是独立的负载模型，摆动方程参数，传输线参数，并在每个发电机终端总线的本地相量测量单元（PMU）测量的知识是足够的。此外，它还能够处理几种类型的数据质量问题，例如测量噪声、总测量误差、网络攻击和测量丢失。此外，建议的RFD包含分散估计本地发电机转子速度和集中的总线频率估计，这类似于分散/分层控制方案的结构。这使得RFD能够用于非常大规模的系统应用。具体而言，我们从系统的其余部分从每个发电机解耦处理计量真实的功率注入作为输入和PMU提供的频率测量作为输出，然后提出了一个鲁棒的无迹卡尔曼滤波器为基础的动态状态估计器的本地发电机转子速度估计，最后，这些转子速度被发送到控制中心的总线频率估计。在IEEE 39节点和145节点系统上的算例表明了该方法的有效性和鲁棒性。
Accurate local bus frequency is essential for power system frequency regulation provided by distributed energy sources, flexible loads, and among others. This paper proposes a robust frequency divider (RFD) for online bus frequency estimation. Our RFD is independent of the load models, and the knowledge of swing equation parameters, transmission line parameters, and local Phasor Measurement Unit (PMU) measurements at each generator terminal bus is sufficient. In addition, it is able to handle several types of data quality issues, such as measurement noise, gross measurement errors, cyberattacks, and measurement losses. Furthermore, the proposed RFD contains the decentralized estimation of local generator rotor speeds and the centralized bus frequency estimation, which resembles the structure of the decentralized/hierarchical control scheme. This enables RFD for very large-scale system applications. Specifically, we decouple each generator from the rest of the system by treating metered real power injection as inputs and the frequency measurements provided by PMU as outputs; then a robust unscented Kalman filter based dynamic state estimator is proposed for local generator rotor speed estimation; finally, these rotor speeds are transmitted to control center for bus frequency estimation. Numerical results carried out on the IEEE 39-bus and 145-bus systems demonstrate the effectiveness and robustness of the proposed method.