一种新的基于神经网络的高精度电力系统谐波分析算法A NEW NEURAL NETWORK BASED POWER SYSTEM HARMONICS ANALYSIS ALGORITHM WITH HIGH ACCURACY
王小华,何怡刚
摘要(Abstract)：
提出了一种新的基于三角基函数的人工神经网络算法,利用该算法可一次性获得电力系统基波及各次谐波的频率、幅值和相位,提出并证明了该神经网络算法的收敛定理,给出了利用该算法进行谐波分析的仿真实例。仿真结果表明,文中提出的谐波测量方法的计算精度极高,且计算量较小,因此在电力系统谐波测量中有较高的应用价值。
关键词(KeyWords)： 电力系统;谐波分析;人工神经网络;收敛定理;快速傅立叶变换;三角基函数;窗函数
基金项目(Foundation): 国家自然科学基金资助项目(50277010);; 湖南省教育厅科研项目(04C073)~~
作者(Author): 王小华,何怡刚
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DOI:
参考文献(References)：
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