摘要
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.
Voltage sags were analyzed of the basis of a PSB simulation model at first. Then a method is given to identify voltage sag sources in distribution system using a novel combination of wavelet transform and artificial neural network. The outcome of the study clearly shows that the proposed method is reliable and effective.
出处
《甘肃科学学报》
2007年第4期104-107,共4页
Journal of Gansu Sciences
基金
国家自然科学基金资助项目(30670529)
甘肃省科技攻关资助项目(GS044-A52-001-24)
关键词
电力系统
电能质量
电压跌落
小波变换
人工神经网络
power system
power quality
voltage sag
wavelet transform
artificial neural network.
