Title :
Knowledge based system support for introductory power system network analysis on personal computers
Author :
Sheble, Gerald B.
Author_Institution :
Auburn Univ., AL, USA
fDate :
2/1/1990 12:00:00 AM
Abstract :
The application of artificial intelligence for knowledge-based systems (KBSs) is reviewed and applied to the basic power system network analysis problem. A frame-based KBS has been developed to assist students in preparing data for power flow analysis. The prototype for a power flow knowledge-based system (PFKBS) is an example of a shallow knowledge system. The details of an implementation for a simple power system are used to highlight the difference between a frame-based approach and a conventional FORTRAN approach. The data structures used within the developed frame-based KBS are presented in sufficient detail for anyone to regenerate the database. The user interface is illustrated for a small power system. The method of preparing data for the power flow as a sequence of knowledge bases is discussed for the example system
Keywords :
knowledge based systems; load flow; power system analysis computing; artificial intelligence; knowledge-based systems; personal computers; power flow analysis; power system network analysis; user interface; Artificial intelligence; Data structures; Databases; Knowledge based systems; Load flow; Load flow analysis; Power system analysis computing; Power systems; Prototypes; User interfaces;
Journal_Title :
Power Systems, IEEE Transactions on