Research on Short Term Load Forecasting of Power System

Abstract

The short term load forecast of power system is one of the important tasks of power dispatch and service department, whose accuracy has a close relation with dispatch operation, production plan and quality of power supply. Artificial neural network was introduced into forecasting of short term load. Aiming at the drawback in classical BP artificial networks and combining with differential evolution algorithms, this paper puts forwards the prediction model based on real number coded DE-BP artificial networks. Experimental result show this model has high prediction accuracy and can be used into real project.