Title :
Optimal design of measurement-type current transformer using genetic algorithm
Author :
Rashtchi, Vahid ; Shabani, Arash ; Bagheri, Amir
Author_Institution :
Dept. of Electr. Eng., Zanjan Univ., Zanjan
Abstract :
In this paper a new approach based on genetic algorithm (GA) for measurement-type current transformer (CT) design has been presented. This algorithm can present designed parameters of sample current transformer so that minimizes ratio and phase displacement errors to 1.2 times of rated current and transformer made cost also. Finally, several current transformers with different rated values are designed and results show that the proposed approach can be used for optimal design of current transformer perfectly.
Keywords :
genetic algorithms; power transformers; current transformer optimal design; genetic algorithm; measurement-type current transformer; Algorithm design and analysis; Cost function; Current measurement; Current transformers; Displacement measurement; Error correction; Genetic algorithms; Magnetic flux; Phase measurement; Power measurement; Current Transformer; Genetic Algorithm; phase displacement error; ratio error;
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762611
