Academic Journals Database
Disseminating quality controlled scientific knowledge

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

ADD TO MY LIST
 
Author(s): Petr Ya. Ekel | Illya V. Kokshenev1 | Roberta O. Parreiras | Gladstone B. Alves | Paulo M. N. Souza

Journal: Engineering
ISSN 1947-3931

Volume: 05;
Issue: 05;
Start page: 41;
Date: 2013;
Original page

Keywords: Power Systems and Subsystems | Planning and Operation | Decision Making in Fuzzy Environment | Bellman-Zadeh Approach | Fuzzy Preference Relation Modeling

ABSTRACT
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 ( models) and multiattribute ( models) problems are considered. The analysis 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  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  and  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.  
RPA Switzerland

Robotic Process Automation Switzerland

    

Tango Rapperswil
Tango Rapperswil