A high accurate harmonic analysis method based on neural network in power system
Liu Min
Abstract
Liu Min
Abstract
In order to obtain precise analysis of integer harmonics and non-integer harmonics in power system,firstly,neural network based on a triangle base function with fixed parameters is discussed,by which the frequencies,amplitudes and phases of fundamental and various integer orders of harmonics could be obtained once only.Secondly,an improved triangle base function based neural network is presented——neural network based on a triangle base function with adjusted parameters,precise analysis of integer harmonics and non-integer harmonics is achieved by combining fast Fourier transform(FFT) algorithm with the improved model.The simulation results have verified the effectiveness and practicability of the two algorithms,the higher accuracy of the improved algorithm is verified.It provides a reliable basis for analysis of non-integer harmonics.
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In order to obtain precise analysis of integer harmonics and non-integer harmonics in power system,firstly,neural network based on a triangle base function with fixed parameters is discussed,by which the frequencies,amplitudes and phases of fundamental and various integer orders of harmonics could be obtained once only.Secondly,an improved triangle base function based neural network is presented——neural network based on a triangle base function with adjusted parameters,precise analysis of integer harmonics and non-integer harmonics is achieved by combining fast Fourier transform(FFT) algorithm with the improved model.The simulation results have verified the effectiveness and practicability of the two algorithms,the higher accuracy of the improved algorithm is verified.It provides a reliable basis for analysis of non-integer harmonics.
Key concepts: Harmonics, Integer (computer science), Artificial neural network, Fast Fourier transform, Algorithm, Harmonic, Function (biology), Mathematics