Title :
Application of expert system to load composition rate estimation algorithm
Author :
Lim, Jae-Yoon ; Kim, Jeung-Hoon ; Kim, Jin-O ; Singh, Chanan
Author_Institution :
Chung-Nam Jr. Coll., Daejon, South Korea
fDate :
8/1/1999 12:00:00 AM
Abstract :
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
Keywords :
estimation theory; expert systems; load (electric); power system analysis computing; case studies; computer simulation; expert system application; input data uncertainty; load composition rate estimation algorithm; load model representation; power system customers; stability studies; Expert systems; Load flow; Load flow analysis; Load management; Load modeling; Power system analysis computing; Power system modeling; Power system stability; Stability analysis; Uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on