LOAD ANGLE ESTIMATION OF A SYNCHRONOUS GENERATOR USING DYNAMICAL NEURAL NETWORKS

Load angle estimation process of the operating synchronous generator on power system is defined based dynamic neural networks. In forming model choice input values and structures network explored defined. Data from recorded responses to at standard conditions malfunctioning a are used for learning network. The comparison results obtained using method load with by measurement, reveals applicability proposed