A Study on the Improved Power Control Algorithm for a 100 kW Wind Turbine

被引:0
作者
Kim, Dongmyoung [1 ]
Jeon, Taesu [1 ]
Paek, Insu [1 ,2 ]
Roynarin, Wirachai [3 ]
Plangklang, Boonyang [3 ]
Dugarjav, Bayasgalan [4 ]
机构
[1] Kangwon Natl Univ, Dept Integrated Energy & Infra Syst, Chuncheon Si 24341, Gangwon, South Korea
[2] Kangwon Natl Univ, Dept Mechatron Engn, Chuncheon Si 24341, Gangwon, South Korea
[3] Rajamangala Univ Technol Thanyaburi, Fac Engn, Dept Elect Engn, Thanyaburi 12110, Pathum Thani, Thailand
[4] Natl Univ Mongolia, Dept Elect & Commun Engn, Ulaanbaatar 14200, Mongolia
关键词
wind turbine control; power control; power compensation; medium wind turbine; PITCH CONTROL; FEEDFORWARD CONTROL; LOAD REDUCTION;
D O I
10.3390/en16020619
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this study, a power compensation control algorithm was designed and validated for commercial 100 kW medium wind turbine models for power compensation due to additional generator loss. Generally, torque control considering generator efficiency is applied to a controller of a medium wind turbine; however, a control corresponding to a decrease in generator efficiency due to the surrounding environment is not possible. There is a possibility that an additional generator loss may occur due to the surrounding environment of the wind turbine already installed, and accordingly, a power compensation control algorithm is required because power is expected to decrease. The power compensation control algorithms may be divided into three methods according to a control strategy, and three power compensation control algorithms were explained and designed. The proposed power compensation control algorithms were validated using DNV's Bladed program. The simulation conditions were selected at an average wind speed of about 18 m/s and normal turbulence model (NTM) Class A, and the additional generator loss was assumed to be 15%. The simulation comparison showed that the original power control algorithm had a deviation of 15.00% from the rated power due to a 15% generator loss, and the designed three power compensation control algorithms had a deviation of up to 0.05%.
引用
收藏
页数:15
相关论文
共 50 条
[21]   Optimal tracking and robust power control of the DFIG wind turbine [J].
Abdeddaim, S. ;
Betka, A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 49 :234-242
[22]   Active Disturbance Rejection Power Control for a Floating Wind Turbine [J].
Wang, Lei ;
Zhang, Hu ;
Cai, Ming ;
Luo, Zhiwei .
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, :559-564
[23]   Network power flow control of variable speed wind turbine [J].
Aouzellag, D. ;
Ghedamsi, K. ;
Berkouk, E. M. .
POWERENG2007: INTERNATIONAL CONFERENCE ON POWER ENGINEERING - ENERGY AND ELECTRICAL DRIVES PROCEEDINGS, VOLS 1 & 2, 2007, :435-+
[24]   Simultaneous active control of tower lateral vibration and power control of wind turbine: A novel multivariable approach [J].
Golnary, Farshad ;
Tse, K. T. .
ENERGY REPORTS, 2022, 8 :4233-4251
[25]   An integrator based wind speed estimator for wind turbine control [J].
Elmaati, Younes Ait ;
El Bahir, Lhoussain ;
Faitah, Khalid .
WIND AND STRUCTURES, 2015, 21 (04) :443-460
[26]   An integrator based wind speed estimator for wind turbine control [J].
Ait Elmaati, Younes ;
El Bahir, Lhoussain ;
Faitah, Khalid .
Wind and Structures, An International Journal, 2015, 21 (04) :443-460
[27]   Study on Pitch Angle Control of a Variable Speed Wind Turbine using Different control strategies [J].
Dhar, Mrinal Kanti ;
Thasfiquzzaman, Md ;
Dhar, Rupak Kanti ;
Ahmed, Mohammed Tanim ;
Al Mohsin, Abdullah .
2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, :285-290
[28]   Gridded-based LPV control of a Clipper Liberty wind turbine [J].
Wang, Shu ;
Seiler, Peter .
WIND ENERGY, 2018, 21 (11) :1106-1120
[29]   Wind Turbine Control for Highly Turbulent Winds [J].
Jelavic, Mate ;
Peric, Nedjeljko .
AUTOMATIKA, 2009, 50 (3-4) :135-151
[30]   An overview of control techniques for wind turbine systems [J].
Apata, O. ;
Oyedokun, D. T. O. .
SCIENTIFIC AFRICAN, 2020, 10