摘要
闪变源定位对于解决规模庞大、复杂的配电网电能质量问题具有重要的工程意义。为此归纳总结了闪变源定位的各种方法,包括基于功率潮流方向的闪变源定向方法、电压电流相关性方法及注入水平评估的定位方法。分别阐述了各种方法的基本原理,指出了闪变源定位方法的优缺点。
When analog circuit faults are diagnosed, the disadvantages concerning the standard BP neural network algokithm such as slow convergence, uneven distribution and lower efficiency when training sample result in de- creased overall diagnostic performance of the circuit. This paper proposed a method combining neural network algo- rithm and the Levenberg-marquardt （LM） algorithm to decompose the pulse signal of the circuit from multiple scales and extract fault features as the input of neural network to train the network. The simulation results showed that the stability of sample training method combining Pspice and Matlab was higher than traditional methods, and that the practicability and feasibility of this method were verified.
出处
《电力科学与工程》
2015年第5期16-20,45,共6页
Electric Power Science and Engineering
基金
福建省科技计划重点项目(2013H0024)
