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自适应线性神经元在电能质量扰动诊断和频率跟踪中的应用

ADALINE and Its Application in Power Quality Disturbances Detection and Frequency Tracking

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【作者】 周玉光艾芊顾丹珍陈陈徐伟华

【Author】 ZHOU Yu-guang,AI Qian,GU Dan-zhen,CHEN Chen,XU Wei-hua(Dept.of Electrical Eng.,Shanghai Jiaotong Univ.,Shanghai 200030,China)

【机构】 上海交通大学电气工程系上海交通大学电气工程系 上海200030上海200030

【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.

【Abstract】 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.

  • 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2005年12期
  • 【分类号】TM711
  • 【被引频次】13
  • 【下载频次】224
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