Adaptive Frequency Estimation in Smart Grid Applications
Adaptive Frequency Estimation in Smart Grid Applications
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DOI：
10.1109/msp.2012.2183689
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发表时间：
2012-09-01
影响因子：
14.9
通讯作者：
Mandic, Danilo P.
中科院分区：
文献类型：
--
作者：
Xia, Yili;Douglas, Scott C.;Mandic, Danilo P.
实时准确估计系统频率是未来智能电网的先决条件，其中发电、负荷和拓扑都将动态更新。在本文中，我们介绍了一个统一的框架，用于估计三相系统平衡和不平衡条件下的瞬时频率，从而巩固了现有方法，并提供了能够联合自适应频率估计和系统故障识别的下一代解决方案。这是通过采用复杂变量统计（增强统计）和相关的广泛线性模型的最新发展来实现的，使我们能够从与不同频率变化源相对应的不同程度的非圆性的严格说明中受益。这种方法的优点在平衡和不平衡条件下都得到了体现，包括电压暂降、谐波和供需失配，这些都是智能电网中精确频率估计的主要障碍。
Accurate estimation of system frequency in real time is a prerequisite for the future smart grid, where the generation, loading, and topology will all be dynamically updated. In this article, we introduce a unified framework for the estimation of instantaneous frequency in both balanced and unbalanced conditions in a three-phase system, thus consolidating the existing approaches and providing next-generation solutions capable of joint adaptive frequency estimation and system fault identification. This is achieved by employing recent developments in the statistics of complex variables (augmented statistics) and the associated widely linear models, allowing us to benefit from a rigorous account of varying degrees of noncircularity corresponding to different sources of frequency variations. The advantages of such an approach are illustrated for both balanced and unbalanced conditions, including voltage sags, harmonics and supply-demand mismatch, all major obstacles for accurate frequency estimation in the smart grid.