Identification of harmonic loads using neural network

신경회로망을 이용한 고조파 부하의 식별

Semiconductor devices generate harmonics which induced bad effects against power distribution systems. To surpress harmonics, the filter design and the identification of harmonic load sources are needed. In this paper, artificial neural networks are used to identify the nonlinear relationship between harmonic loads and harmonic currents that vary at times. To find the best adequate network for solving this identification problem, we compared with recognition rates of neural networks by changing hidden layer neuron number.