LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization

Siddig M. Elkhider; Aalim M. Mustafa; Abdul Wahid A. Saif

doi:10.1109/SEGE.2019.8859958

LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization

Siddig M. Elkhider, Aalim M. Mustafa, Abdul Wahid A. Saif

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

Abstract

Static synchronous Compensator (STATCOM) defined as shunt-converter connection, with which the transmission line AC voltage can be fast controlled by its influence in reactive flow. The purpose of STATCOM is to control the voltage very fast and improve damping of interarea oscillations. In this paper, an LQR (Linear Quadratic Regulator) controller was designed for STATCOM-power system damping. Matrix coefficients for Q and R were selected in two different ways: The first technique was based on Genetic Algorithm (GA), while the second technique was based on Invasive Weed Optimization (IWO). Genetic Algorithm and Invasive Weed Optimization based LQR controllers results were compared with each other, and with a classic LQR controller results.

Original language	English
Title of host publication	Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	178-183
Number of pages	6
ISBN (Electronic)	9781728124407
DOIs	https://doi.org/10.1109/SEGE.2019.8859958
State	Published - Aug 2019

Publication series

Name	Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

genetic algorithm (GA)
invasive weed optimization (IWO)
linear quadratic regulator (LQR)
power system
static synchronous compensator (STATCOM)

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Artificial Intelligence
Electrical and Electronic Engineering

UN SDGs

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

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10.1109/SEGE.2019.8859958

Cite this

Elkhider, S. M., Mustafa, A. M., & Saif, A. W. A. (2019). LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization. In Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019 (pp. 178-183). Article 8859958 (Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEGE.2019.8859958

Elkhider, Siddig M. ; Mustafa, Aalim M. ; Saif, Abdul Wahid A. / LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization. Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 178-183 (Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019).

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title = "LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization",

abstract = "Static synchronous Compensator (STATCOM) defined as shunt-converter connection, with which the transmission line AC voltage can be fast controlled by its influence in reactive flow. The purpose of STATCOM is to control the voltage very fast and improve damping of interarea oscillations. In this paper, an LQR (Linear Quadratic Regulator) controller was designed for STATCOM-power system damping. Matrix coefficients for Q and R were selected in two different ways: The first technique was based on Genetic Algorithm (GA), while the second technique was based on Invasive Weed Optimization (IWO). Genetic Algorithm and Invasive Weed Optimization based LQR controllers results were compared with each other, and with a classic LQR controller results.",

keywords = "genetic algorithm (GA), invasive weed optimization (IWO), linear quadratic regulator (LQR), power system, static synchronous compensator (STATCOM)",

author = "Elkhider, \{Siddig M.\} and Mustafa, \{Aalim M.\} and Saif, \{Abdul Wahid A.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2019",

month = aug,

doi = "10.1109/SEGE.2019.8859958",

language = "English",

series = "Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Elkhider, SM, Mustafa, AM & Saif, AWA 2019, LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization. in Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019., 8859958, Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 178-183. https://doi.org/10.1109/SEGE.2019.8859958

LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization. / Elkhider, Siddig M.; Mustafa, Aalim M.; Saif, Abdul Wahid A.
Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 178-183 8859958 (Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019).

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

TY - GEN

T1 - LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization

AU - Elkhider, Siddig M.

AU - Mustafa, Aalim M.

AU - Saif, Abdul Wahid A.

PY - 2019/8

Y1 - 2019/8

N2 - Static synchronous Compensator (STATCOM) defined as shunt-converter connection, with which the transmission line AC voltage can be fast controlled by its influence in reactive flow. The purpose of STATCOM is to control the voltage very fast and improve damping of interarea oscillations. In this paper, an LQR (Linear Quadratic Regulator) controller was designed for STATCOM-power system damping. Matrix coefficients for Q and R were selected in two different ways: The first technique was based on Genetic Algorithm (GA), while the second technique was based on Invasive Weed Optimization (IWO). Genetic Algorithm and Invasive Weed Optimization based LQR controllers results were compared with each other, and with a classic LQR controller results.

AB - Static synchronous Compensator (STATCOM) defined as shunt-converter connection, with which the transmission line AC voltage can be fast controlled by its influence in reactive flow. The purpose of STATCOM is to control the voltage very fast and improve damping of interarea oscillations. In this paper, an LQR (Linear Quadratic Regulator) controller was designed for STATCOM-power system damping. Matrix coefficients for Q and R were selected in two different ways: The first technique was based on Genetic Algorithm (GA), while the second technique was based on Invasive Weed Optimization (IWO). Genetic Algorithm and Invasive Weed Optimization based LQR controllers results were compared with each other, and with a classic LQR controller results.

KW - genetic algorithm (GA)

KW - invasive weed optimization (IWO)

KW - linear quadratic regulator (LQR)

KW - power system

KW - static synchronous compensator (STATCOM)

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M3 - Conference contribution

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BT - Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019

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Elkhider SM, Mustafa AM, Saif AWA. LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization. In Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 178-183. 8859958. (Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019). doi: 10.1109/SEGE.2019.8859958

LQR Based STATCOM Voltage Controller Using Genetic Algorithm and Invasive Weed Optimization

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this