Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems


The results of research into the use of fuzzy set based models and methods of multicriteria decision making for solving power engineering problems are presented. Two general classes of models related to multiobjective (<X,M> models) and multiattribute (<X,R> models) problems are considered. The analysis<X,M> of models is based on the use of the Bellman-Zadeh approach to decision making in a fuzzy environment. Its application conforms to the principle of guaranteed result and provides constructive lines in obtaining harmonious solutions on the basis of analyzing associated maxmin problems. Several techniques based on fuzzy preference modeling are considered for the analysis of <X,R> models. A review of the authors’ results associated with the application of these models and methods for solving diverse types of problems of power system and subsystems planning and operation is presented. The recent results on the use of<X,M> and<X,R> models and methods of their analysis for the allocation of reactive power sources in distribution systems and for the prioritization in maintenance planning in distribution systems, respectively, are considered.

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P. Ekel, I. Kokshenev, R. Parreiras, G. Alves and P. Souza, "Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems," Engineering, Vol. 5 No. 5A, 2013, pp. 41-51. doi: 10.4236/eng.2013.55A007.

Conflicts of Interest

The authors declare no conflicts of interest.


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