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https://doi.org/10.7305/automatika.2016.02.1060

The application of fuzzy inference systems in overload elimination and correction

Ivica Petrović ; Croatian Transmission System Operator Ltd., Area Grid Menagement, Cara Hadrijana 3, HR - 31000 Osijek, Croatia
Lajos Jozsa orcid id orcid.org/0000-0002-9895-1503 ; Head of Department of Power Engineering, Josip Juraj Strossmayer University, Faculty of Electrical Engineering, Kneza Trpimira 2b, HR - 31000 Osijek, Croatia
Dario Galić ; Faculty of Medicine, Josip Juraj Strossmayer University, Cara Hadrijana 10/E, HR - 31000 Osijek, Croatia


Puni tekst: engleski pdf 1.173 Kb

str. 120-128

preuzimanja: 662

citiraj


Sažetak

The paper deals with analysis of the safety and stability of a power supply network. In the modern market the need for power system to function near stability margin is increased, and also very close to the permissible limits of thermal limitations of the transmission power system. The known methods for analyses have slow convergence or inadequate accuracy. A fuzzy logic regulator makes the needed adjustments and uses fuzzy inference systems that are based on the settings embedded on knowledge and experience of experts. The basic idea is to develop a fuzzy logic system that will be based on the vulnerability indices of the systems components, and together with the overload factor, represents the input values suitable to control processes. Another goal is the creation of the controller that will allow more efficient way of power system operation by using the safety analysis to eliminate line overloads.

Ključne riječi

Fuzzy Inference Systems; Overloads Elimination; Control

Hrčak ID:

165503

URI

https://hrcak.srce.hr/165503

Datum izdavanja:

1.9.2016.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.285 *