Title :
New formulas for predicting audible noise from overhead HVAC lines using evolutionary computations
Author :
Yang, Kwang-ho ; Lee, Dong-II ; Hwang, Gi-Hyun ; Park, June-Ho ; Chartier, Vernon L.
Author_Institution :
Korea Electrotechnol. Res. Inst., Changwon, South Korea
fDate :
10/1/2000 12:00:00 AM
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 predetermine 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 the 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
Keywords :
acoustic noise; corona; genetic algorithms; power overhead lines; rain; audible noise prediction; corona discharges; evolutionary computation techniques; evolutionary computations; genetic algorithms; genetic programming; heavy rain; high voltage transmission lines; line design; overhead HVAC lines; stable rain; transmission line design; Acoustic noise; Conductors; Corona; Databases; Equations; Evolutionary computation; Genetic programming; Rain; Testing; Transmission line measurements;
Journal_Title :
Power Delivery, IEEE Transactions on
