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] Design and Validation of Demanded Power Point Tracking Control Algorithm of Wind Turbine
    Kwansu Kim
    Hyun-Gyu Kim
    Cheol-jin Kim
    Insu Paek
    Carlo L. Bottasso
    Filippo Campagnolo
    International Journal of Precision Engineering and Manufacturing-Green Technology, 2018, 5 : 387 - 400
  • [22] Design and Validation of Demanded Power Point Tracking Control Algorithm of Wind Turbine
    Kim, Kwansu
    Kim, Hyun-Gyu
    Kim, Cheol-jin
    Paek, Insu
    Bottasso, Carlo L.
    Campagnolo, Filippo
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2018, 5 (03) : 387 - 400
  • [23] Control algorithm of a floating wind turbine for reduction of tower loads and power fluctuation
    Oh, Yongoon
    Kim, Kwansu
    Kim, Hyungyu
    Paek, Insu
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2015, 16 (09) : 2041 - 2048
  • [24] Power Output Test of 5kW Umbrella Wind Turbine
    Bao, Daorina
    Shang, Wei
    Wang, Xiaoxue
    Wang, Shuailong
    10TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC 2018), 2018, : 7 - 14
  • [25] Wind Turbine Power Control for Turbulence Wind Speed
    Erdenebat, Munkhtuya
    Moon, Chae-Joo
    Bayasgalan, Zagdkhorol
    2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 539 - 542
  • [26] An Improved Algorithm for Wind Turbine Blade Defect Detection
    Ran, Xiukang
    Zhang, Shang
    Wang, Hengtao
    Zhang, Zhaoyang
    IEEE ACCESS, 2022, 10 : 122171 - 122181
  • [27] Modeling, Control, and Experimental Verification of a 500 kW DFIG Wind Turbine
    Aykut, Ozan
    Ulu, Cenk
    Komurgoz, Guven
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2022, 22 (01) : 13 - 20
  • [28] Improved Power Control of DFIGs Driven by Wind Turbine under Unbalanced Grid Voltage
    Shehata, E. G.
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2023, 19 (01) : 325 - 340
  • [29] Improved Direct Power Control of DFIG Wind Turbine by using a Fuzzy Logic Controller
    Khateri-abri, S.
    Tohidi, S.
    Rostami, N.
    2019 10TH INTERNATIONAL POWER ELECTRONICS, DRIVE SYSTEMS AND TECHNOLOGIES CONFERENCE (PEDSTC), 2019, : 458 - 463
  • [30] Improved Power Control of DFIGs Driven by Wind Turbine under Unbalanced Grid Voltage
    E. G. Shehata
    Journal of Electrical Engineering & Technology, 2024, 19 : 325 - 340