【摘要】 该文分别采用现代辨识技术之一的递推最小二乘法和人工神经元网络（ＡＮＮ）误差反向传播算法（ＢＰ算法）估计２０００年四川电网某一变电站的负荷模型，结果表明人工神经元网络模型能更好地反映负荷的非线性特性。更多还原

【Abstract】 it is important to develop accurate load models for the analysis of power systemperformance. The load model of a substation in Sichunan power system has been obtained usingArtificial Neural Networks (ANN) and recursive least-squares (RLS) identification in this paper.The results show that the ANN can map the nonlinear characteristics of dynamic loads betterthan the traditional identification methods.更多还原