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Improved recursive Newton type algorithm for real-time frequency estimation in power systems

机译:改进的递归牛顿型算法用于电力系统实时频率估计

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In this paper a new improved recursive Newton type algorithm suitable for measurement applications in power systems is presented. It is used for power system frequency, phasors and spectra estimation. The recursive form of Newton type algorithm is improved with a strategy of sequentially tuning the forgetting factor. By this, the main algorithm properties, speed of convergence and accuracy, are significantly improved. The results of computer simulation, laboratory testing and off-line full-scale real-life data processing are given to show the main algorithm features.
机译:本文提出了一种新的改进的递归牛顿型算法,适用于电力系统中的测量应用。它用于电力系统的频率,相量和频谱估计。牛顿型算法的递归形式通过顺序调整遗忘因子的策略进行了改进。这样,显着提高了主要算法的性能,收敛速度和准确性。给出了计算机仿真,实验室测试和离线全面真实数据处理的结果,以显示算法的主要功能。

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