CALCULATION OF CURRENT PARAMETERS OF POWER SYSTEM  MODE WITH INCOMPLETE INITIAL DATA USING NEURAL  MODELLING

Petro Lezhnjuk; Olena Rubanenko

CALCULATION OF CURRENT PARAMETERS OF POWER SYSTEM MODE WITH INCOMPLETE INITIAL DATA USING NEURAL MODELLING

Автор(и)

Petro Lezhnjuk Vinnitsa National Technical University
Olena Rubanenko Vinnitsa National Technical University

Ключові слова:

power losses, Sugeno algorithm of fuzzy conclusion, power in a node, membership function

Анотація

A mathematical model is offered which allows to find load power in a node at telemetry devices failure, using hybrid neural network and Sugeno algorithm of fuzzy conclusion.

Біографії авторів

Petro Lezhnjuk, Vinnitsa National Technical University

Doct. Sc (Eng.), Head of the Department of Electric Power Stations and Systems

Olena Rubanenko, Vinnitsa National Technical University

Graduate student of the Department of Electric Power Stations and Systems

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Опубліковано

2015-12-02

Як цитувати

[1]

P. Lezhnjuk і O. Rubanenko, «CALCULATION OF CURRENT PARAMETERS OF POWER SYSTEM MODE WITH INCOMPLETE INITIAL DATA USING NEURAL MODELLING», Scientific Works of Vinnytsia National Technical University, вип. 2, Груд 2015.