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
[41]   Experimental study on aerodynamic control of horizontal axis wind turbine using inflow observation [J].
Morimoto, Kota ;
Kamada, Yasunari ;
Maeda, Takao .
JOURNAL OF FLUID SCIENCE AND TECHNOLOGY, 2018, 13 (03)
[42]   Pitch Control Algorithm of Wind Turbine Based on Back Propagation Neural Network and PID Control [J].
Yang, Xu ;
Guo, Rui ;
Zhang, Jian Xun .
MANUFACTURING, DESIGN SCIENCE AND INFORMATION ENGINEERING, VOLS I AND II, 2015, :656-663
[43]   An Improved Power Control Algorithm in Cognitive Radio System [J].
Sun, Ai-Wei ;
Zhang, Hang .
PROCEEDINGS OF 2012 IEEE 14TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, 2012, :1193-1197
[44]   Output power control of wind turbine generator by pitch angle control using minimum variance control [J].
Senjyu, Tomonobu ;
Sakamoto, Ryosei ;
Urasaki, Naomitsu ;
Higa, Hiroki ;
Uezato, Katsumi ;
Funabashi, Toshihisa .
Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi), 2006, 154 (02) :10-18
[45]   A Health-Oriented Power Control Strategy of Direct Drive Wind Turbine [J].
Chen, Yongan ;
Wang, Longjun ;
Liu, Shenquan ;
Wang, Gang .
IEEE TRANSACTIONS ON POWER DELIVERY, 2022, 37 (02) :1324-1335
[46]   Design, Implementation and Control of Pitching System for low-power Wind Turbine [J].
Bangade, Saurabh ;
Saptasagar, Serene ;
Kurode, Shailaja .
2014 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2014,
[47]   Optimal Power Regulating for Wind Turbine with LQR and Disturbance Accommodation Pitch Control [J].
Wen, Haoyuan ;
Liu, Yajuan ;
Lee, S. M. ;
Park, Ju H. .
2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR, 2023, :262-267
[48]   TORQUE AND POWER COEFFICIENTS OF A VERTICAL AXIS WIND TURBINE WITH OPTIMAL PITCH CONTROL [J].
Chen, Jim Shih-Jiun ;
Chen, Zhi ;
Biswas, Saroj ;
Miau, Jiun-Jih ;
Hsieh, Cheng-Han .
ASME POWER CONFERENCE, 2010, 2010, :655-662
[49]   Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine [J].
Wei, Gao ;
Lijuan, Chen ;
Chao, Ai ;
Pengfei, Zheng ;
Xuan, Wu .
IEEE ACCESS, 2022, 10 :54263-54275
[50]   *Analysis of light detection and ranging wind speed measurements for wind turbine control [J].
Simley, Eric ;
Pao, Lucy Y. ;
Frehlich, Rod ;
Jonkman, Bonnie ;
Kelley, Neil .
WIND ENERGY, 2014, 17 (03) :413-433