Advanced control strategies for wind energy systems: An overview

Hoa M. Nguyen; D. Subbaram Naidu

doi:10.1109/PSCE.2011.5772514

Advanced control strategies for wind energy systems: An overview

Hoa M. Nguyen
, D. Subbaram Naidu

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

47 Scopus citations

Abstract

Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.

Original language	English (US)
Title of host publication	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011
DOIs	https://doi.org/10.1109/PSCE.2011.5772514
State	Published - 2011
Event	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011 - Phoenix, AZ, United States Duration: Mar 20 2011 → Mar 23 2011

Publication series

Name	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

Other

Other	2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011
Country/Territory	United States
City	Phoenix, AZ
Period	3/20/11 → 3/23/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Advanced Control Strategies
Fusion of Hard and Soft Control
Hard Control
Soft Control
Wind Energy Systems

Publisher link

10.1109/PSCE.2011.5772514

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Nguyen, HM & Naidu, DS 2011, Advanced control strategies for wind energy systems: An overview. in 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011., 5772514, 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011, 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011, Phoenix, AZ, United States, 3/20/11. https://doi.org/10.1109/PSCE.2011.5772514

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abstract = "Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.",

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language = "English (US)",

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N2 - Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.

AB - Wind energy systems have been emerging as a highly significant solution to the problem of limited traditional energy sources. In this paper, control methodologies adapted to wind energy systems are topically reviewed. oHard computing or control techniques such as proportional-integral-derivative (PID), optimal, nonlinear, adaptive and robust and soft computing or control techniques such as neural networks, fuzzy logic, genetic algorithms and on the fusion or hybrid of hard and soft control techniques are primarily focused. This overview concludes with some possible future directions are also suggested. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.

KW - Advanced Control Strategies

KW - Fusion of Hard and Soft Control

KW - Hard Control

KW - Soft Control

KW - Wind Energy Systems

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UR - https://www.scopus.com/pages/publications/79958779969#tab=citedBy

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DO - 10.1109/PSCE.2011.5772514

M3 - Conference contribution

AN - SCOPUS:79958779969

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ER -

Advanced control strategies for wind energy systems: An overview

Abstract

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Other

UN SDGs

Keywords

Publisher link

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