Open AccessOptimum design of hybrid HVDC circuit breakers using a parallel genetic algorithm and a MATLAB‐EMTP environment
Author(s) -
CoreaAraujo Javier A.,
MartinezVelasco Juan A.,
Magnusson Jesper
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1500
Subject(s) - circuit breaker , emtp , matlab , transient (computer programming) , fitness function , genetic algorithm , computer science , electric power system , fault (geology) , voltage , power (physics) , electronic engineering , algorithm , engineering , electrical engineering , physics , quantum mechanics , machine learning , seismology , geology , operating system
The optimum design of power system components is becoming a relevant topic in power system studies. Genetic algorithms (GAs) are considered as a proper approach for optimisation problems in which non‐linear elements are involved. Several trends are presently leading GAs to a new level; for instance, its combination with parallel computing can facilitate the solution of problems where individual evaluations of the fitness function require an important computational effort. This study presents a procedure based on a MATLAB‐EMTP application and the usage of a multicore environment for the optimum selection of hybrid high‐voltage DC (HVDC) circuit breaker parameters; the goal is to obtain a transient response of the hybrid design with voltages, currents and fault clearance times within specified limits.