%0 Journal Article %A LI Jiasheng1 %A WANG Yingde2 %A LIN Lin1 %T Power quality transient disturbance detection based on neural network adaptive control algorithms %D 2013 %R %J Computer Engineering and Applications %P 125-128 %V 49 %N 17 %X Aiming at current difficulties and key issues of power quality detection, after analyzing the advantages and disadvantages of the method most used based on wavelet transform, an algorithm of power quality transient disturbances detection based on the adaptive control using neural networks is proposed. The adaptive control structure of power quality transient disturbances detection is provided. Hebb rule is applied to learn the weight. Simulation test is conducted on transient disturbance of voltage sag, voltage transient rise, voltage interruption and transient oscillations. The results show that this algorithm behaves well on detecting the types of transient disturbances signal, confirming the starting time and duration of disturbance. Besides, the analysis and calculation of this algorithm are simple and fast, the datum is small, all of which make the algorithm practical on power quality transient disturbances detection. %U http://cea.ceaj.org/EN/abstract/article_30890.shtml