摘要
在分析电力系统电压质量扰动检测存在的问题和现有的检测方法后,提出了应用自适应线性神经元(ADAL INE)进行电能质量扰动定位和频率跟踪的方法,并给出了该方法用于各种电压质量扰动诊断和频率跟踪模拟计算的仿真算例.结果表明:该方法计算简单,易于硬件实现,具有较高的应用价值.
Based on some problems of the methods that are used to analyze power quality issues, a kind of artificial neural networks, ADALINE, and its new algorithm for analysis of power quality were presented. The new algorithm has the advantages of being simply calculated and easily implemented through hardware. The simulation results of voltage quality disturbances detection and frequency tracking show that the new ADALINE and its algorithm can be applied to the precise analysis for power quality.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2005年第12期2072-2077,2087,共7页
Journal of Shanghai Jiaotong University
关键词
电能质量
电压质量
频率跟踪
扰动诊断
自适应线性神经元
power quality
voltage quality
frequency tracking
disturbance detection
adaptive linear element （ADALINE）
