Real Measure of a Transmission Line Data with Load Fore-cast Model for The Future

Year 2018, , 141 - 145, 30.04.2018

Musa Yılmaz

https://doi.org/10.17694/bajece.419646

Cited By: 8

Abstract

In this study, an electric transmission line
taken hourly data of feeders, belonging to the 1990-2017 year in Turkey by
using actual consumption value, load forecasting analysis was done for the
future. Short-medium-long term forecast range that results in hourly resolution,
presented a mathematical approach to versatile applications. A statistical
prediction tool that is called Exponentially Weighted Moving Average (EWMA) is
used to predict the next year's demand for transmission in Turkey. In addition
to this method, the estimated value of load factors near future, within a few
years also has been shown to successfully predict the hour as possible. To load
demand will increase in the future, it was presented solutions to be taking
precautions.

Keywords

Power grids, microgrids, power transmission, power system management, smart grids

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