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

Authors

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

Keywords:

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

Abstract

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.

Author Biographies

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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Published

2015-12-02

How to Cite

[1]
P. Lezhnjuk and O. Rubanenko, “CALCULATION OF CURRENT PARAMETERS OF POWER SYSTEM MODE WITH INCOMPLETE INITIAL DATA USING NEURAL MODELLING”, Scientific Works of Vinnytsia National Technical University, no. 2, Dec. 2015.

Issue

No. 2 (2008): 2008№2

Section

Energetics and Electrical Engineering

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