Title :
Optimization of Extra-High-Voltage SF
Circuit Breaker Based on Improved Genetic Algorithm
Author :
Liu, Xiaoming ; Cao, Yundong ; Wen, Fuyue ; Wang, ErZhi
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang
fDate :
6/1/2008 12:00:00 AM
Abstract :
Electrode contour optimization of arc quenching chamber of extra-high-voltage SF6 circuit breaker using the proposed variable interval genetic algorithm (VIGA) has been carried out to obtain not only a uniform field but also a dynamic distribution of electric field strength along different contact surface. In order to investigate the validity of VIGA quantitatively, optimization of two testing functions has been computed in detail. From comparison of the optimized solution to the analytical solution for the testing functions, the feasibility and practicability of the proposed VIGA has been verified. Moreover, in optimization, for enhancing the convergence efficiency of the optimization, the real-coded mode and improved blend-crossover strategy is proposed and applied.
Keywords :
circuit breakers; electrodes; genetic algorithms; blend-crossover strategy; convergence efficiency; electrode contour optimization; extra-high-voltage circuit breaker; quenching chamber; real-coded mode; variable interval genetic algorithm; Circuit breaker; electric field strength; genetic algorithm (GA); optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2007.916113