| 基于UKF的电力系统动态状态估计 |
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| 引用本文： | 李少华,金涛. 基于UKF的电力系统动态状态估计[J]. 重庆电力高等专科学校学报, 2011, 0(6): 59-61,72 |
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| 作者姓名： | 李少华 金涛 |
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| 作者单位： | 福州大学电气工程与自动化学院,福建福州350108 |
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| 摘 要： | 介绍一种简单而且计算量小的非线性UKF算法,并将其应用到电力系统动态状态估计中,能获得更高的精度。利用MATLAB软件编程,在9节点标准系统中进行了仿真验证。结果表明,该算法具有估计较高的估计精度和很好的鲁棒性。
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| 关 键 词： | 电力系统 动态状态估计 滤波 UT变换 UKF |
Dynamic State Estimation of the Power System Based on UKF |
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| LI Shao-hua,JIN Tao. Dynamic State Estimation of the Power System Based on UKF[J]. Journal of Chongqing Electric Power College, 2011, 0(6): 59-61,72 |
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| Authors: | LI Shao-hua JIN Tao |
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| Affiliation: | (College of Electrical Engineering and Automation of Fuzhou University,Fuzhou Fujian 350108,China) |
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| Abstract: | This essay introduces a simple nonlinear algorithm applied in the power system dynamic state estimation called Unscented Kalman Filter（UKF）algorithm,which requires only a small amount of calculation and achieves better accuracy.By using the MATLAB software to program,a simulation is carried out in the IEEE-9 standard power system.The result shows that the algorithm has better accuracy and good robustness. |
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| Keywords: | power system dynamic state estimation filtering UT UKF |
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