| Title |
Development of Audible Noise Prediction Formulas Applied to HVAC Transmission Lines Design by Using Genetic Programming |
| Authors |
양광호(Yang, Kwang-Ho) ; 황기현(Hwang, Gi-Hyun) ; 박준호(Park, June-Ho) ; 박종근(Park, Jong-Keun) |
| Keywords |
T/L Design ; Corona AN Prediction ; AN Database ; Evolutionary Computations ; Genetic Programming |
| Abstract |
Audible noise (AN) produced by corona discharges from high voltage transmission lines is one of the more important considerations in line design. Therefore, line designers must pre-determine the AN using prediction formulas. This paper presents the results of applying evolutionary computation techniques using AN data from lines throughout the world to develop new, highly accurate formulas for predicting a A-weighted AN during heavy rain and stable rain from overhead ac lines. Calculated ANs using these new formulas and existing formulas are compared with measured data. |