IPSO based SMES controller design for a PMSG wind system

Muhammad Haris Khan; A. H.M.A. Rahim

doi:10.1109/EnergyCon.2012.6348223

IPSO based SMES controller design for a PMSG wind system

Muhammad Haris Khan^*, A. H.M.A. Rahim

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

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

4 Scopus citations

Abstract

Dynamic performance of a permanent magnet synchronous generator wind system can be improved by injecting real and reactive power from a superconducting magnetic energy storage system (SMES) system. This article presents a method of determining the optimum gains of the SMES controller through an improved particle swarm optimization (IPSO) procedure. The procedure involves finding the SMES controller gains so as to optimize the damping of the quasi-linear PMSG system dynamics. The performance of the system with optimally tuned SMES parameters have been tested with torque pulse disturbances using the nonlinear system model. The PMSG system with optimum SMES controller parameters were observed to give very good transient profile.

Original language	English
Title of host publication	2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012
Pages	599-604
Number of pages	6
DOIs	https://doi.org/10.1109/EnergyCon.2012.6348223
State	Published - 2012

Publication series

Name	2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012

Keywords

PMSG
SMES
dynamic performance
transient stability
wind farms and IPSO

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

UN SDGs

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

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10.1109/EnergyCon.2012.6348223

Cite this

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title = "IPSO based SMES controller design for a PMSG wind system",

abstract = "Dynamic performance of a permanent magnet synchronous generator wind system can be improved by injecting real and reactive power from a superconducting magnetic energy storage system (SMES) system. This article presents a method of determining the optimum gains of the SMES controller through an improved particle swarm optimization (IPSO) procedure. The procedure involves finding the SMES controller gains so as to optimize the damping of the quasi-linear PMSG system dynamics. The performance of the system with optimally tuned SMES parameters have been tested with torque pulse disturbances using the nonlinear system model. The PMSG system with optimum SMES controller parameters were observed to give very good transient profile.",

keywords = "PMSG, SMES, dynamic performance, transient stability, wind farms and IPSO",

author = "Khan, \{Muhammad Haris\} and Rahim, \{A. H.M.A.\}",

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language = "English",

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series = "2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012",

pages = "599--604",

booktitle = "2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012",

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IPSO based SMES controller design for a PMSG wind system. / Khan, Muhammad Haris; Rahim, A. H.M.A.
2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012. 2012. p. 599-604 6348223 (2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012).

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

TY - GEN

T1 - IPSO based SMES controller design for a PMSG wind system

AU - Khan, Muhammad Haris

AU - Rahim, A. H.M.A.

PY - 2012

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N2 - Dynamic performance of a permanent magnet synchronous generator wind system can be improved by injecting real and reactive power from a superconducting magnetic energy storage system (SMES) system. This article presents a method of determining the optimum gains of the SMES controller through an improved particle swarm optimization (IPSO) procedure. The procedure involves finding the SMES controller gains so as to optimize the damping of the quasi-linear PMSG system dynamics. The performance of the system with optimally tuned SMES parameters have been tested with torque pulse disturbances using the nonlinear system model. The PMSG system with optimum SMES controller parameters were observed to give very good transient profile.

AB - Dynamic performance of a permanent magnet synchronous generator wind system can be improved by injecting real and reactive power from a superconducting magnetic energy storage system (SMES) system. This article presents a method of determining the optimum gains of the SMES controller through an improved particle swarm optimization (IPSO) procedure. The procedure involves finding the SMES controller gains so as to optimize the damping of the quasi-linear PMSG system dynamics. The performance of the system with optimally tuned SMES parameters have been tested with torque pulse disturbances using the nonlinear system model. The PMSG system with optimum SMES controller parameters were observed to give very good transient profile.

KW - PMSG

KW - SMES

KW - dynamic performance

KW - transient stability

KW - wind farms and IPSO

UR - https://www.scopus.com/pages/publications/84870789318

U2 - 10.1109/EnergyCon.2012.6348223

DO - 10.1109/EnergyCon.2012.6348223

M3 - Conference contribution

AN - SCOPUS:84870789318

SN - 9781467314541

T3 - 2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012

SP - 599

EP - 604

BT - 2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012

ER -

IPSO based SMES controller design for a PMSG wind system

Abstract

Publication series

Keywords

ASJC Scopus subject areas

UN SDGs

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