Methods of multicriteria decision making in fuzzy environment and their applications to transmission and distribution problems

Results of research into the use of fuzzy set theory for multicriteria optimization and decision making in power engineering are presented. The application of multicriteria models to transmission and distribution optimization problems is associated with the need to solve: (1) problems in which solution estimated with a single criterion; and (2) problems which can be solved on the basis of a single criterion, however their unique solutions are not achieved because the uncertainty of information produces decision uncertainty regions. In accordance with this, two classes of models are considered with using the Bellman-Zadeh approach and the technique of fuzzy preference relations to their analysis. Advantages opened up by their application are discussed. The results are of a universal character, have found applications, and are illustrated by considering problems of power and energy shortage allocation and substation planning.