Application of expert system to load composition rate estimation algorithm

A load model is needed for the power system analysis including load flow and stability studies. The load model representation needs the load composition rate indicating the portion of several typical load groups. This paper proposes a refined load composition rate estimation algorithm with input data which are relative coefficients, limit values, and the energy portion of load groups. An expert system is constructed with the consideration of the uncertainty of input data. The load composition rates in several customers in the power system are obtained and the results of case studies show that a reasonable load composition rate is achieved.