Adaptive linear prediction for optimal control of wind turbines

Narayana, Mahinsasa, Sunderland, Keith, Putrus, Ghanim and Conlon, Michael (2017) Adaptive linear prediction for optimal control of wind turbines. Renewable Energy, 113. pp. 895-906. ISSN 0960-1481 (In Press)

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Official URL: https://doi.org/10.1016/j.renene.2017.06.041

Abstract

In order to obtain maximum power output of a Wind Energy Conversion System (WECS), the rotor speed needs to be optimised for a particular wind speed. However, due to inherent inertia, the rotor of a WECS cannot react instantaneously according to wind speed variations. As a consequence, the performance of the system and consequently the wind energy conversion capability of the rotor are negatively affected. This study considers the use of a time series Adaptive Linear Prediction (ALP) technique as a means to improve the performance and conversion efficiency of wind turbines. The ALP technique is introduced as a real time control reference to improve optimal control of wind turbines. In this study, a wind turbine emulator is developed to evaluate the performance of the predictive control strategy. In this regard, the ALP reference control method was applied as a means to control the torque/speed of the emulator. The results show that the employment of a predictive technique increases energy yield by almost 5%.

Item Type: Article
Uncontrolled Keywords: linear adaptive prediction, power mapping technique, wind speed sensor technique, wind speed estimation
Subjects: F300 Physics
Department: Faculties > Engineering and Environment > Physics and Electrical Engineering
Depositing User: Ay Okpokam
Date Deposited: 12 Jul 2017 11:04
Last Modified: 12 Jul 2017 11:37
URI: http://nrl.northumbria.ac.uk/id/eprint/31310

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