Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines

Due to varying characteristics of the wind condition, the performance of the wind turbines can be optimized by adapting the parameters of the control system. In this letter, an adaptive technique is proposed for the novel model predictive control (MPC) for the yaw system of the wind turbines. The co...

Full description

Bibliographic Details
Main Authors: Dongran Song, Qing Chang, Songyue Zheng, Sheng Yang, Jian Yang, Young Hoon Joo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9272539/
_version_ 1830486748597059584
author Dongran Song
Qing Chang
Songyue Zheng
Sheng Yang
Jian Yang
Young Hoon Joo
author_facet Dongran Song
Qing Chang
Songyue Zheng
Sheng Yang
Jian Yang
Young Hoon Joo
author_sort Dongran Song
collection DOAJ
description Due to varying characteristics of the wind condition, the performance of the wind turbines can be optimized by adapting the parameters of the control system. In this letter, an adaptive technique is proposed for the novel model predictive control (MPC) for the yaw system of the wind turbines. The control horizon is adapted to the one with the best predictive performance among multiple control horizons. The adaptive MPC is demonstrated by simulations using real wind data, and its performance is compared with the baseline MPC at fixed control horizon. Results show that the adaptive MPC provides better comprehensive performance than the baseline ones at different preview time of wind directions. Therefore, the proposed adaptive technique is potentially useful for the wind turbines in the future.
first_indexed 2024-12-21T18:48:35Z
format Article
id doaj.art-d5f31c0b1fe248398aa28ea3c0064c8c
institution Directory Open Access Journal
issn 2196-5420
language English
last_indexed 2024-12-21T18:48:35Z
publishDate 2021-01-01
publisher IEEE
record_format Article
series Journal of Modern Power Systems and Clean Energy
spelling doaj.art-d5f31c0b1fe248398aa28ea3c0064c8c2022-12-21T18:53:49ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202021-01-019121922410.35833/MPCE.2019.0004679272539Adaptive Model Predictive Control for Yaw System of Variable-speed Wind TurbinesDongran Song0Qing Chang1Songyue Zheng2Sheng Yang3Jian Yang4Young Hoon Joo5School of Automation, Central South University, and Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid,Changsha,China,410083School of Automation, Central South University, and Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid,Changsha,China,410083School of Automation, Central South University, and Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid,Changsha,China,410083School of Energy Science and Engineering, Central South University,Changsha,China,410083School of Automation, Central South University, and Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid,Changsha,China,410083School of IT Information and Control Engineering, Kunsan National University,Kunsan,Korea,54150Due to varying characteristics of the wind condition, the performance of the wind turbines can be optimized by adapting the parameters of the control system. In this letter, an adaptive technique is proposed for the novel model predictive control (MPC) for the yaw system of the wind turbines. The control horizon is adapted to the one with the best predictive performance among multiple control horizons. The adaptive MPC is demonstrated by simulations using real wind data, and its performance is compared with the baseline MPC at fixed control horizon. Results show that the adaptive MPC provides better comprehensive performance than the baseline ones at different preview time of wind directions. Therefore, the proposed adaptive technique is potentially useful for the wind turbines in the future.https://ieeexplore.ieee.org/document/9272539/Wind turbineyaw systemwind directionadaptive model predictive control
spellingShingle Dongran Song
Qing Chang
Songyue Zheng
Sheng Yang
Jian Yang
Young Hoon Joo
Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
Journal of Modern Power Systems and Clean Energy
Wind turbine
yaw system
wind direction
adaptive model predictive control
title Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
title_full Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
title_fullStr Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
title_full_unstemmed Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
title_short Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
title_sort adaptive model predictive control for yaw system of variable speed wind turbines
topic Wind turbine
yaw system
wind direction
adaptive model predictive control
url https://ieeexplore.ieee.org/document/9272539/
work_keys_str_mv AT dongransong adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines
AT qingchang adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines
AT songyuezheng adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines
AT shengyang adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines
AT jianyang adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines
AT younghoonjoo adaptivemodelpredictivecontrolforyawsystemofvariablespeedwindturbines