Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity

Xunwen Su; Dianguo Xu; Rongfeng Yang; Hongxuan Yue

doi:10.19595/j.cnki.1000-6753.tces.170480

Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity

Xunwen Su^*
, Dianguo Xu
, Rongfeng Yang
, Hongxuan Yue

^*Corresponding author for this work

Heilongjiang University of Science and Technology
School of Electrical Engineering and Automation, Harbin Institute of Technology
Xuji Group Corporation

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

In order to study the effects of environmental factors on maximum power point tracking (MPPT) control of wind turbine, taken power signal feedback algorithm as an example, the mechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematical relationships of temperature and humidity with air density. Then this paper presents the method for the optimal power curve acquisition, the implementation process and flow chat of PSF algorithm considering temperature and humidity. The influence of loss of wind turbine is considered in this PSF algorithm. The models with doubly fed induction generator wind turbines based PSF algorithm are built on Matlab/Simulink platform. At last, the simulation results and field test in wind farm show that the PSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.

Original language	English
Pages (from-to)	210-218
Number of pages	9
Journal	Diangong Jishu Xuebao/Transactions of China Electrotechnical Society
Volume	32
Issue number	13
DOIs	https://doi.org/10.19595/j.cnki.1000-6753.tces.170480
State	Published - 10 Jul 2017
Externally published	Yes

Keywords

Humidity
Maximum power curve
Power signal feedback algorithm
Temperature
Wind turbine

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10.19595/j.cnki.1000-6753.tces.170480

Cite this

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title = "Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity",

abstract = "In order to study the effects of environmental factors on maximum power point tracking (MPPT) control of wind turbine, taken power signal feedback algorithm as an example, the mechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematical relationships of temperature and humidity with air density. Then this paper presents the method for the optimal power curve acquisition, the implementation process and flow chat of PSF algorithm considering temperature and humidity. The influence of loss of wind turbine is considered in this PSF algorithm. The models with doubly fed induction generator wind turbines based PSF algorithm are built on Matlab/Simulink platform. At last, the simulation results and field test in wind farm show that the PSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.",

keywords = "Humidity, Maximum power curve, Power signal feedback algorithm, Temperature, Wind turbine",

author = "Xunwen Su and Dianguo Xu and Rongfeng Yang and Hongxuan Yue",

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TY - JOUR

T1 - Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity

AU - Su, Xunwen

AU - Xu, Dianguo

AU - Yang, Rongfeng

AU - Yue, Hongxuan

PY - 2017/7/10

Y1 - 2017/7/10

N2 - In order to study the effects of environmental factors on maximum power point tracking (MPPT) control of wind turbine, taken power signal feedback algorithm as an example, the mechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematical relationships of temperature and humidity with air density. Then this paper presents the method for the optimal power curve acquisition, the implementation process and flow chat of PSF algorithm considering temperature and humidity. The influence of loss of wind turbine is considered in this PSF algorithm. The models with doubly fed induction generator wind turbines based PSF algorithm are built on Matlab/Simulink platform. At last, the simulation results and field test in wind farm show that the PSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.

AB - In order to study the effects of environmental factors on maximum power point tracking (MPPT) control of wind turbine, taken power signal feedback algorithm as an example, the mechanism of temperature and humidity affecting PSF algorithm is analyzed based on mathematical relationships of temperature and humidity with air density. Then this paper presents the method for the optimal power curve acquisition, the implementation process and flow chat of PSF algorithm considering temperature and humidity. The influence of loss of wind turbine is considered in this PSF algorithm. The models with doubly fed induction generator wind turbines based PSF algorithm are built on Matlab/Simulink platform. At last, the simulation results and field test in wind farm show that the PSF algorithm considering temperature and humidity can obtain high wind energy conversion efficiency.

KW - Humidity

KW - Maximum power curve

KW - Power signal feedback algorithm

KW - Temperature

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85026521692

U2 - 10.19595/j.cnki.1000-6753.tces.170480

DO - 10.19595/j.cnki.1000-6753.tces.170480

M3 - 文章

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SN - 1000-6753

VL - 32

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JO - Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

JF - Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

IS - 13

ER -

Maximum Power Point Tracking Control of Wind Turbine Considering Temperature and Humidity

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Keywords

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