Original scientific paper
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.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
Abstract
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.
Keywords
Fuzzy Inference Systems; Overloads Elimination; Control
Hrčak ID:
165503
URI
Publication date:
1.9.2016.
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