一种基于RBF神经网络线损计算方法研究

根据中压配电网的特性,利用容易收集的原始数据,研究了一种中压配电网准确、快速而简便的线损计算方法,即径向基函数神经网络算法,并且将该算法与分群算法相结合,获得了很好的计算精度.通过matlab仿真研究验证了RBF算法的有效性,并且通过比较未分类的RBF算法,分类的RBF算法,线性回归算法和BP算法,凸显了分类后的RBF神经网络的精确性与实用性.

Study on the Prediction of Line Loss Rate Based on Radial Basis Function

According to characteristics of medium voltage distribution network,use raw data that are easily collected to study an accurate fast and simple line loss calculation method of the medium voltage distribution network,that is the radial basis function neural network algorithm.Moreover the combination of the algorithm and cluster algorithm gets a very good accuracy.The results of matlab simulation verify the effectiveness of the algorithm,and the comparison of the results of the classified RBF,unclassified RBF,linear regression algorithm and BP highlight the accuracy and practical of RBF neural network.