摘要
对大型企业供电系统设备中的谐波污染的成因进行了探讨,提出了一种基于平均影响值(MIV,Mean Impact Value)的神经网络谐波源识别方法,利用平均影响值来得到在电力系统中对电能质量影响较大的谐波源,为解决此类问题开创了新思路。基于平均影响值(MIV,Mean Impact Value)的神经网络谐波源识别方法有实际价值。
In this paper, the cause of harmonic pollution in large enterprise power systems is discussed. A method of harmonic source identification based on MIV { Mean Impact Value } and neural network is proposed. The MIV method can identify the major harmonic source in power system, which is a new idea to solve such problems. Finally, the neural network harmonic source identification method based on MIV has the actual value.
出处
《电气自动化》
2012年第4期56-58,共3页
Electrical Automation
关键词
谐波
辨识
控制
神经网络
harmonic
identification
control
neural network
