Nonlinear, optimal control of wind energy conversion systems using differential SDRE

Ahmed Khamis; Hoa M. Nguyen; D. Subbaram Naidu

doi:10.1109/RWEEK.2015.7287423

Nonlinear, optimal control of wind energy conversion systems using differential SDRE

Ahmed Khamis, Hoa M. Nguyen, D. Subbaram Naidu

Electrical Engineering

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

5 Scopus citations

Abstract

Wind energy has taken an important role in responding to overall energy demand and environmental concers. As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency mostly through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on new application of nonlinear feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). In particular, a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is applied. The idea of the technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. Simulation results for the PMSG-WECS are given to illustrate the effectiveness of the technique.

Original language	English (US)
Title of host publication	Proceedings - 2015 Resilience Week, RSW 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	86-91
Number of pages	6
ISBN (Electronic)	9781479985944
DOIs	https://doi.org/10.1109/RWEEK.2015.7287423
State	Published - Oct 1 2015
Event	Resilience Week, RSW 2015 - Philadelphia, United States Duration: Aug 18 2015 → Aug 20 2015

Publication series

Name	Proceedings - 2015 Resilience Week, RSW 2015

Other

Other	Resilience Week, RSW 2015
Country/Territory	United States
City	Philadelphia
Period	8/18/15 → 8/20/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Aerodynamics
Generators
Mathematical model
Optimal control
Riccati equations
Rotors
Wind speed

UN SDGs

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

Publisher link

10.1109/RWEEK.2015.7287423

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Nonlinear, optimal control of wind energy conversion systems using differential SDRE. / Khamis, Ahmed; Nguyen, Hoa M.; Naidu, D. Subbaram.
Proceedings - 2015 Resilience Week, RSW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 86-91 7287423 (Proceedings - 2015 Resilience Week, RSW 2015).

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

Khamis, A, Nguyen, HM & Naidu, DS 2015, Nonlinear, optimal control of wind energy conversion systems using differential SDRE. in Proceedings - 2015 Resilience Week, RSW 2015., 7287423, Proceedings - 2015 Resilience Week, RSW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 86-91, Resilience Week, RSW 2015, Philadelphia, United States, 8/18/15. https://doi.org/10.1109/RWEEK.2015.7287423

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title = "Nonlinear, optimal control of wind energy conversion systems using differential SDRE",

abstract = "Wind energy has taken an important role in responding to overall energy demand and environmental concers. As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency mostly through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on new application of nonlinear feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). In particular, a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is applied. The idea of the technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. Simulation results for the PMSG-WECS are given to illustrate the effectiveness of the technique.",

keywords = "Aerodynamics, Generators, Mathematical model, Optimal control, Riccati equations, Rotors, Wind speed",

author = "Ahmed Khamis and Nguyen, {Hoa M.} and Naidu, {D. Subbaram}",

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AU - Khamis, Ahmed

AU - Nguyen, Hoa M.

AU - Naidu, D. Subbaram

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N2 - Wind energy has taken an important role in responding to overall energy demand and environmental concers. As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency mostly through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on new application of nonlinear feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). In particular, a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is applied. The idea of the technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. Simulation results for the PMSG-WECS are given to illustrate the effectiveness of the technique.

AB - Wind energy has taken an important role in responding to overall energy demand and environmental concers. As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency mostly through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on new application of nonlinear feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). In particular, a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is applied. The idea of the technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. Simulation results for the PMSG-WECS are given to illustrate the effectiveness of the technique.

KW - Aerodynamics

KW - Generators

KW - Mathematical model

KW - Optimal control

KW - Riccati equations

KW - Rotors

KW - Wind speed

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BT - Proceedings - 2015 Resilience Week, RSW 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Resilience Week, RSW 2015

Y2 - 18 August 2015 through 20 August 2015

ER -

Nonlinear, optimal control of wind energy conversion systems using differential SDRE

Abstract

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Bibliographical note

Keywords

UN SDGs

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