Open AccessNSGA-II Based Multi Objective Design Optimization of Resistive Superconducting Fault Current Limiters
Author(s) -
Tarun Shrivastava,
Sushma Gupta,
A.M. Shandilya
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f8303.038620
Subject(s) - limiter , fault current limiter , current limiting , yttrium barium copper oxide , resistive touchscreen , materials science , superconductivity , computer science , fault (geology) , work (physics) , current (fluid) , thermal , nuclear engineering , electrical engineering , high temperature superconductivity , mechanical engineering , engineering , electric power system , physics , thermodynamics , telecommunications , power (physics) , quantum mechanics , seismology , geology , computer vision
Superconducting fault current limiters (SFCLs) are the devices that uses the superconducting properties of the materials to limit the fault current. In comparison to the conventional fault current limiters (FCLs), the SFCL has advantage that its current limiting property is inherent and no external controls are required. However, to achieve the exact current limiting ratings with other characteristics like quench time, recovery time, peak current etc. a design optimization is required. Since the whole characteristics of SFCL depends upon the superconducting material adopted, and the parameters of cooling systems. The parameters defining the behavior of these two entities are selected as optimization variables. Because in this work second-generation high temperature superconducting (HTS) material known as YBCO (Yttrium Barium Copper Oxide ) is considered. Hence, in this paper non-dominated Sorting GA (NSGA-II) optimization algorithm is adopted that exploits the 2G YBCO mathematical model relating its electrical and thermal characteristics and cooling system specifications to find the optimal parameters according to the requirements (or objectives) of resistive-SFCL. The simulation results show that the presented algorithm is able to achieve multiple design objectives (required for SFCL) simultaneously within the range of 5%.