Smoothing wind power fluctuations by fuzzy logic pitch angle controller

M. A. Chowdhury, N. Hosseinzadeh, W. X. Shen

Research output: Contribution to journalArticle

73 Citations (Scopus)

Abstract

Wind energy has been receiving more acceptance as a reproducible, resourceful and clean energy source since last decade. Wind power is not constant and may fluctuate below the rated wind power when the wind speed is lower than the rated speed. This fact affects the stability of the power system, to which the wind generators are connected. This is becoming more significant with the increasing penetration of wind energy systems. Pitch angle control has been one of the most common methods for smoothing output power fluctuations during below rated wind incidents. A fuzzy logic pitch angle controller is proposed in this paper for smoothing wind power fluctuations during below rated wind incidents beside traditional power regulations during above rated wind incidents. Two smoothing methods have been presented: the determination of the command output power based on the exponential moving average with a proper selection of correction factor by fuzzy reasoning and the dynamic selection of target output power according to the wind incident. Simulation results show the effectiveness of the proposed fuzzy logic pitch angle controller in smoothing output power fluctuations with significantly small drop of output power.

Original languageEnglish
Pages (from-to)224-233
Number of pages10
JournalRenewable Energy
Volume38
Issue number1
DOIs
Publication statusPublished - Feb 2012

Fingerprint

Wind power
Fuzzy logic
Controllers

Keywords

  • Fuzzy logic
  • Pitch angle control
  • Smoothing power fluctuations
  • Wind power

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Smoothing wind power fluctuations by fuzzy logic pitch angle controller. / Chowdhury, M. A.; Hosseinzadeh, N.; Shen, W. X.

In: Renewable Energy, Vol. 38, No. 1, 02.2012, p. 224-233.

Research output: Contribution to journalArticle

Chowdhury, M. A. ; Hosseinzadeh, N. ; Shen, W. X. / Smoothing wind power fluctuations by fuzzy logic pitch angle controller. In: Renewable Energy. 2012 ; Vol. 38, No. 1. pp. 224-233.
@article{0c285cf4e22e410eb4af0e64764581b5,
title = "Smoothing wind power fluctuations by fuzzy logic pitch angle controller",
abstract = "Wind energy has been receiving more acceptance as a reproducible, resourceful and clean energy source since last decade. Wind power is not constant and may fluctuate below the rated wind power when the wind speed is lower than the rated speed. This fact affects the stability of the power system, to which the wind generators are connected. This is becoming more significant with the increasing penetration of wind energy systems. Pitch angle control has been one of the most common methods for smoothing output power fluctuations during below rated wind incidents. A fuzzy logic pitch angle controller is proposed in this paper for smoothing wind power fluctuations during below rated wind incidents beside traditional power regulations during above rated wind incidents. Two smoothing methods have been presented: the determination of the command output power based on the exponential moving average with a proper selection of correction factor by fuzzy reasoning and the dynamic selection of target output power according to the wind incident. Simulation results show the effectiveness of the proposed fuzzy logic pitch angle controller in smoothing output power fluctuations with significantly small drop of output power.",
keywords = "Fuzzy logic, Pitch angle control, Smoothing power fluctuations, Wind power",
author = "Chowdhury, {M. A.} and N. Hosseinzadeh and Shen, {W. X.}",
year = "2012",
month = "2",
doi = "10.1016/j.renene.2011.07.034",
language = "English",
volume = "38",
pages = "224--233",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Elsevier BV",
number = "1",

}

TY - JOUR

T1 - Smoothing wind power fluctuations by fuzzy logic pitch angle controller

AU - Chowdhury, M. A.

AU - Hosseinzadeh, N.

AU - Shen, W. X.

PY - 2012/2

Y1 - 2012/2

N2 - Wind energy has been receiving more acceptance as a reproducible, resourceful and clean energy source since last decade. Wind power is not constant and may fluctuate below the rated wind power when the wind speed is lower than the rated speed. This fact affects the stability of the power system, to which the wind generators are connected. This is becoming more significant with the increasing penetration of wind energy systems. Pitch angle control has been one of the most common methods for smoothing output power fluctuations during below rated wind incidents. A fuzzy logic pitch angle controller is proposed in this paper for smoothing wind power fluctuations during below rated wind incidents beside traditional power regulations during above rated wind incidents. Two smoothing methods have been presented: the determination of the command output power based on the exponential moving average with a proper selection of correction factor by fuzzy reasoning and the dynamic selection of target output power according to the wind incident. Simulation results show the effectiveness of the proposed fuzzy logic pitch angle controller in smoothing output power fluctuations with significantly small drop of output power.

AB - Wind energy has been receiving more acceptance as a reproducible, resourceful and clean energy source since last decade. Wind power is not constant and may fluctuate below the rated wind power when the wind speed is lower than the rated speed. This fact affects the stability of the power system, to which the wind generators are connected. This is becoming more significant with the increasing penetration of wind energy systems. Pitch angle control has been one of the most common methods for smoothing output power fluctuations during below rated wind incidents. A fuzzy logic pitch angle controller is proposed in this paper for smoothing wind power fluctuations during below rated wind incidents beside traditional power regulations during above rated wind incidents. Two smoothing methods have been presented: the determination of the command output power based on the exponential moving average with a proper selection of correction factor by fuzzy reasoning and the dynamic selection of target output power according to the wind incident. Simulation results show the effectiveness of the proposed fuzzy logic pitch angle controller in smoothing output power fluctuations with significantly small drop of output power.

KW - Fuzzy logic

KW - Pitch angle control

KW - Smoothing power fluctuations

KW - Wind power

UR - http://www.scopus.com/inward/record.url?scp=80052537332&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052537332&partnerID=8YFLogxK

U2 - 10.1016/j.renene.2011.07.034

DO - 10.1016/j.renene.2011.07.034

M3 - Article

VL - 38

SP - 224

EP - 233

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

IS - 1

ER -