Increasing efficiency in wind energy electricity generating by signal processing from wind measuring equipment on wind turbine for the determination of wind direction
Conference proceedings article
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Publication Details
Author list: Koetket P., Chaichana T., Auttawaitkul Y., Chiracharit W., Khunkhet S., Waewsak J.
Publisher: Hindawi
Publication year: 2018
Start page: 1
End page: 4
Number of pages: 4
ISBN: 9781538626153
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
Wind energy is a type of clean energy which Thailand generates it for 299.17 MW. However, its problems found in Thailand are unconstant wind blowing and not high wind blowing speed. In Chaiyaphum province, an average wind blowing speed is 5.77 m/s throughout the year. Regarding the electricity generating of the wind turbine operation, there is a slow direction finding of the wind turbine due to its big size. (2.5 MW electricity generating per wind turbine). This has effect on ineffective operation in electricity generating. Natural condition of the wind involves change in wind direction. The wind turbine generating electricity also turns based on wind direction (90o) for electricity generating. The wind turbine will stop electricity generating when the wind stops blowing. Also, the face of the wind turbine will stop based on the direction of the wind blowing through it in which it is inappropriate direction for electricity generating in the next round. The wind turbine has to waste the time in turning back to the normal wind direction (Turn around 180 degree take time 10 minutes). This study presents the determination of wind direction of the wind turbine by using standard deviation of direction signal from wind measuring equipment on the wind turbine. This study presented method results in the wind turbine to stop and waits for the wind in an appropriate position. Besides, it reduces the time of wind turbine turning to the wind direction. Also, it increases an opportunity for effective electricity generating. ฉ 2018 IEEE.
Keywords
Huge error, Signal Processing, Standard deviation, Wind direction