TY - GEN
T1 - Yaw alignment evaluation with mathematical models for wind farms
AU - Mamani, Mercy Jeaninna Alvarado
AU - Munoz-Ccuro, Felipa Elvira
AU - Velasquez, Ricardo Arias
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/5
Y1 - 2021/8/5
N2 - Wind farms are increasing the last decade around the world, the main component is the wind turbine generator (WTG). This technology has the lowest cost in the renewable energy cluster, compared with conventional renewable energies. The wind farms are building with lineal electrical circuits associated to nacelle, blades, generators, gearbox, pitch system, converters, transformers, tower and yaw system [1]; these components generate more than 5,417 operational points per WTG during a month, therefore a early detection of a failure mode is not a easy task. This research article has a mathematical description of two special operational curves: Active power vs wind velocity and time vs yaw angle. It allows to detect problems in the blades and the nacelle control in twenty wind turbine generators, in a real wind farm with information from 2019 and 2020, associated to 2.6 millions of points point with wind velocity, active power, wind direction and yaw angle. Finally, this paper has demonstrated the detection of the blade dynamic impact and deficient yaw alignment associated to lost production, with an accuracy of 96.5%, a novelty analysis is developed with real data, information and a comparison with the traditional inspection in the WTG.
AB - Wind farms are increasing the last decade around the world, the main component is the wind turbine generator (WTG). This technology has the lowest cost in the renewable energy cluster, compared with conventional renewable energies. The wind farms are building with lineal electrical circuits associated to nacelle, blades, generators, gearbox, pitch system, converters, transformers, tower and yaw system [1]; these components generate more than 5,417 operational points per WTG during a month, therefore a early detection of a failure mode is not a easy task. This research article has a mathematical description of two special operational curves: Active power vs wind velocity and time vs yaw angle. It allows to detect problems in the blades and the nacelle control in twenty wind turbine generators, in a real wind farm with information from 2019 and 2020, associated to 2.6 millions of points point with wind velocity, active power, wind direction and yaw angle. Finally, this paper has demonstrated the detection of the blade dynamic impact and deficient yaw alignment associated to lost production, with an accuracy of 96.5%, a novelty analysis is developed with real data, information and a comparison with the traditional inspection in the WTG.
KW - stall effect
KW - velocity
KW - Wind farm
KW - wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85116236203&partnerID=8YFLogxK
U2 - 10.1109/INTERCON52678.2021.9532924
DO - 10.1109/INTERCON52678.2021.9532924
M3 - Conference contribution
AN - SCOPUS:85116236203
T3 - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
BT - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Y2 - 5 August 2021 through 7 August 2021
ER -