实时检测非正弦电流相关分量的神经元系统

Neuron System for Real-time Detecting Correlative Components in Nonsinusoidal Current

讨论了时域中非正弦周期电流的分解方法 ,得出了其有功分量、无功分量、电钝分量和虚功分量等相应电流分量。在此基础上 ,分析了用神经元自适应谐波和无功电流检测方法实时检测这些不同电流分量时的系统构成 ,建立了相应的系统仿真模型 ,研究了该系统实时检测不同电流分量时的性能。结果证实了其有效性和可行性。

The decomposition approach for nonsinusoidal period current in time domain is discussed, and correlative current components, including active component, reactive component, deactive component and fictitious component, are obtained. On the basis of this, the system configuration used to real-time detect the different current components by neuron adaptive detection approach of harmonic and reactive current is analyzed, and corresponding system simulation model is built and the performance of the system is investigated. The results verify its validity and feasibility.