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对一个辐射状配电网中可能引起电压跌落的各种扰动源进行了分析和仿真,提出了一种基于小波变换与人工神经网络理论的电压跌落扰动源的自动识别方法,仿真和实验结果表明该方法具有简洁可靠、辨识准确率高等优点.
A variety of disturbance sources that may cause voltage sags in a radial distribution network are analyzed and simulated. An automatic identification method of voltage drop disturbance sources based on wavelet transform and artificial neural network theory is proposed. Simulation and experimental results show that The method has the advantages of concise and reliable, high recognition accuracy.