基于HHT和GA-BP的电压暂降源定位方法

针对传统电压暂降源定位方法准确率低的缺点,提出了基于希尔伯特-黄变换(Hilbert-Huang transform,HHT)HHT和GA-BP的定位方法.用集合经验模态分解(ensemble empirical mode decomposition,EEMD)对故障期间的电压和电流进行处理,得到有效特征值-电流实部I...

A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP

Aiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. Firstly, the EEMD(ensemble empirical mode decomposition) Hilbert-Huang Transform (HHT) is used to process the voltage and current during the fault period, and the effective eigenvalues - the current real part Icosθ and system trajectory slope k are obtained. Then the GA-BP neural network is used to classify the effective eigenvalues to get the initial location of the voltage sag source. And then, the moth to flame optimization (MFO) algorithm is used to solve the mathematical model of voltage and current of the fault line, so that the precise location of the voltage sag source is obtained. At the same time, the fault types are distinguished according to the relationship between the three-phase voltage amplitudes. Finally, a simulation model of a dual power supply system is used to verify the proposed method, and the simulation results show that the proposed method has high accuracy and precision in positioning and can precisely locate the voltage sag source.