Title :
Research on hybrid circuit breaker based on IGCT & current detection of neural network
Author :
Zhao Yang ; Feng Yue
Author_Institution :
Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
The role of the circuit breaker in the power protection systems, especially in the interconnected power grid is growing important. In this papar, neural network serves the short-circuit current fault detection, IGCT is used to construction the hybrid circuit breaker device based on the traditional mechanical circuit breaker. It can effectively improve the switching speed and service life of mechanical circuit breaker, and has a great significance in fast switching applications of the power system.
Keywords :
circuit breakers; fault location; insulated gate bipolar transistors; neural nets; power grids; power system protection; short-circuit currents; thyristors; IGCT; fault current detection; hybrid circuit breaker device; interconnected power grid; mechanical circuit breaker; neural network; power protection system; short-circuit current fault detection; Circuit breakers; Circuit faults; Logic gates; Mathematical model; Solids; Switches; Switching circuits; IGCT; fault current detection; hybrid circuit breaker; neural network;
Conference_Titel :
Strategic Technology (IFOST), 2011 6th International Forum on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0398-0
DOI :
10.1109/IFOST.2011.6021193
