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
ISBN (Print)	9781728124414
DOIs	https://doi.org/10.1109/SEGE.2019.8859958
Publication status	Published - 7 Oct 2019
Externally published	Yes
Event	7th IEEE International Conference on Smart Energy Grid Engineering - Oshawa, Canada Duration: 12 Aug 2019 → 14 Aug 2019 Conference number: 7

Publication series

Name	International Conference on Smart Energy Grid Engineering
Publisher	IEEE
Volume	2019
ISSN (Print)	2575-2677
ISSN (Electronic)	2575-2693

Conference

Conference	7th IEEE International Conference on Smart Energy Grid Engineering
Abbreviated title	SEGE 2019
Country/Territory	Canada
City	Oshawa
Period	12/08/19 → 14/08/19

UN SDGs

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

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10.1109/SEGE.2019.8859958Licence: Unspecified

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). [8859958] (International Conference on Smart Energy Grid Engineering; Vol. 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 (International Conference on Smart Energy Grid Engineering).

@inproceedings{750dc25eb94146b69cd954af5ff86c11,

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 = "Funding Information: ACKNOWLEDGMENT The authors would like to acknowledge the support provided by Prince Mohammad bin Fahd University, and King Fahd University of Petroleum and Minerals. Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2019 ; Conference date: 12-08-2019 Through 14-08-2019",

year = "2019",

month = oct,

day = "7",

doi = "10.1109/SEGE.2019.8859958",

language = "English",

isbn = "9781728124414",

series = "International Conference on Smart Energy Grid Engineering",

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pages = "178--183",

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

address = "United States",

}

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, International Conference on Smart Energy Grid Engineering, vol. 2019, Institute of Electrical and Electronics Engineers Inc., pp. 178-183, 7th IEEE International Conference on Smart Energy Grid Engineering, Oshawa, Ontario, Canada, 12/08/19. 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 (International Conference on Smart Energy Grid Engineering; Vol. 2019).

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

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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.

N1 - Conference code: 7

PY - 2019/10/7

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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.

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KW - invasive weed optimization (IWO)

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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. (International Conference on Smart Energy Grid Engineering). doi: 10.1109/SEGE.2019.8859958

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

Abstract

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