| Title |
Short-Term Dynamic Line Rating Prediction in Overhead Transmission Lines Using Weather Forecast System |
| Authors |
Sung Duck, Kim ; Seoung-Su Lee ; Tae-In Jang ; Ji-Won Kang ; Dong-Il Lee |
| Keywords |
Dynamic Line Rating ; Forecast Rating ; Overhead Transmission Lines |
| Abstract |
A method for predicting the short-term dynamic line ratings in overhead transmission lines using real-time weather forecast data is proposed in this paper. Through some inspections for the 3-hour interval forecasting factors such as ambient temperature, wind speed grade and weather code given by KMA(Korea Meteorological Administration), correlation properties between forecast weather data and actual measured data are analyzed. To use these variable in determining the dynamic line ratings, they are changed into suitable numerical values. Furthermore adaptive neuro-fuzzy systems to improve reliabilities for wind speed and solar heat radiation are designed. It was verified that the forecast weather data can be used to predict the line rating with reliable. As a result, it can be possible that the proposed predicting system can be effectively utilized by their anticipation a short-time in advance. |