NDLI: Genetic algorithm to solve electrical network problems

Content Provider	IEEE Xplore Digital Library
Author	Akbal, B. Urkmez, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Selcuk Univ. Konya, Konya, Turkey (Akbal, B.; Urkmez, A.)
Abstract	Some events which occur due to loads affect the electrical networks. These events can be sorted as overvoltage, short circuit, voltage drop, and power loss. Short circuit, voltage drop and power loss are related to the parameters of the power line which belongs to the electrical network, and overvoltage is related to parallel resonance. System impedance increases extremely during parallel resonance. If current of system (50Hz) or harmonic currents encounter high impedance, overvoltage occurs. In this study, parameters and parallel resonance power of the power line were estimated by using Genetic Algorithm (GA). If parallel resonance power is determined accurately, it isn't exceeded by load capacitor power, and parallel resonance doesn't occur. It was seen at the end of experimental results that estimation accuracy rate (EAR) of GA is adequate to solve these problems.
Starting Page	235
Ending Page	238
File Size	263692
Page Count	4
File Format	PDF
ISBN	9781479933433
DOI	10.1109/ICECCO.2013.6718272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-07
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parallel resonance Inductance Accuracy Parameter estimation Estimation Accuracy rate Harmonic analysis Parallel resonance power estimation GA Impedance Mathematical model Equations
Content Type	Text
Resource Type	Article

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