Open AccessIntelligent control support for reconstruction of electrical circuits of stations and substations
Author(s) -
Ilya Kovalenko,
Vladimir A. Tremyasov,
Vladislav G. Belov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1889/4/042048
Subject(s) - range (aeronautics) , fuzzy logic , control (management) , scheme (mathematics) , function (biology) , power (physics) , computer science , membership function , fuzzy set , mathematical optimization , electrical network , mathematics , data mining , artificial intelligence , engineering , electrical engineering , mathematical analysis , physics , quantum mechanics , evolutionary biology , biology , aerospace engineering
The article deals with the application of expert systems and the theory of fuzzy sets for decision-making in the reconstruction of electrical connections of power plants and substations. Multicriteria optimization problems are characterized by the uncertainty of a part of the initial information with the boundaries of the range of values from the minimum to the maximum. This theory allows us to compare the options of scheme of power distribution power plants according to different criteria in the conditions of uncertain information, as well as in the conditions of conflicting rules and criteria. For fuzzy sets, the membership function becomes the only possible means of describing them.