Title :
An expert system with fuzzy sets for optimal planning [of power system expansion]
Author :
David, A.K. ; Rongda, Zhao
Author_Institution :
Hong Kong Polytech., Kowloon, Hong Kong
fDate :
2/1/1991 12:00:00 AM
Abstract :
A description is given of a long-range power system expansion planning program which incorporates three significant features. First, it is an optimizing program and uses dynamic programming for tracking an optimal expansion strategy. Second, it contains a rule-based decision making mechanism to incorporate engineering judgment based on design office experience and expert opinions. Third, since some of these considerations have to be cast in qualitative terms and need to balance many conflicting requirements, fuzzy set theory has been used to formulate a portion of the decision making procedure
Keywords :
dynamic programming; expert systems; fuzzy set theory; power engineering computing; power system planning; dynamic programming; expert system; fuzzy set theory; long-range power system expansion planning; power engineering computing; rule-based decision making; Decision making; Expert systems; Fuzzy set theory; Fuzzy sets; Inference mechanisms; Optimization methods; Power engineering and energy; Power system dynamics; Power system planning; Systems engineering and theory;
Journal_Title :
Power Systems, IEEE Transactions on