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Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm
International Journal of Applied Power Engineering (IJAPE) · Vol. 13 No. 1 (2024) · pp. 213–222
ISSN 2722-2624, 2252-8792
Published 2024-03-01
Publisher Institute of Advanced Engineering and Science
Language eng
Abstract
In many power systems, voltage instability can increase the risk of voltage collapse and, as a result, turn the power system toward a blackout. Therefore, increasing the voltage collapse point is required. A transmission line outage is an emergency condition in power systems that can lead to voltage instability and voltage collapse. Thus, it is expected to employ shunt-connected flexible AC transmission systems (FACTS) such as the static var compensator (SVC) to increase the voltage collapse point when lines outage. This paper presents the genetic algorithm (GA) application to optimal placement and sizing of an SVC for increasing voltage collapse points following lines outage. The continuation power flow (CPF) technique has been used to determine the maximum loading point (MLP) corresponding to the point of voltage collapse. Also, to reduce the number of scenarios when line outages occur, a list in ascending order is established based on the line outage priority (LOP). The IEEE 14-bus test system is chosen to carry out simulations, and an SVC will be installed in the system based on the GA results. Simulation results confirm the effectiveness of an SVC for improving voltage stability as well as increasing voltage profile.
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· 4 across different organisations
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University of Tikrit Northern Technical University National University of Malaysia Affiliation unknown
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Metadata source: OAI-PMH (metadata jurnal) http://ijape.iaescore.com/index.php/IJAPE/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en-US">Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm</dc:title>
<dc:creator>Zaidan, Majeed Rashid</dc:creator>
<dc:creator>Hasan, Ghanim Thiab</dc:creator>
<dc:creator>Bajaj, Mohit</dc:creator>
<dc:creator>Toos, Saber Izadpanah</dc:creator>
<dc:subject xml:lang="en-US">continuation power flow; genetic algorithm; line outage; maximum loading point; static var compensator</dc:subject>
<dc:description xml:lang="en-US">In many power systems, voltage instability can increase the risk of voltage collapse and, as a result, turn the power system toward a blackout. Therefore, increasing the voltage collapse point is required. A transmission line outage is an emergency condition in power systems that can lead to voltage instability and voltage collapse. Thus, it is expected to employ shunt-connected flexible AC transmission systems (FACTS) such as the static var compensator (SVC) to increase the voltage collapse point when lines outage. This paper presents the genetic algorithm (GA) application to optimal placement and sizing of an SVC for increasing voltage collapse points following lines outage. The continuation power flow (CPF) technique has been used to determine the maximum loading point (MLP) corresponding to the point of voltage collapse. Also, to reduce the number of scenarios when line outages occur, a list in ascending order is established based on the line outage priority (LOP). The IEEE 14-bus test system is chosen to carry out simulations, and an SVC will be installed in the system based on the GA results. Simulation results confirm the effectiveness of an SVC for improving voltage stability as well as increasing voltage profile.</dc:description>
<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
<dc:contributor xml:lang="en-US">There is no funding</dc:contributor>
<dc:date>2024-03-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en-US"></dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://ijape.iaescore.com/index.php/IJAPE/article/view/20665</dc:identifier>
<dc:identifier>10.11591/ijape.v13.i1.pp213-222</dc:identifier>
<dc:source xml:lang="en-US">International Journal of Applied Power Engineering (IJAPE); Vol 13, No 1: March 2024; 213-222</dc:source>
<dc:source>2722-2624</dc:source>
<dc:source>2252-8792</dc:source>
<dc:source>10.11591/ijape.v13.i1</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://ijape.iaescore.com/index.php/IJAPE/article/view/20665/13159</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2023 Majeed Rashid Zaidan</dc:rights>
<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Zaidan, M. R., Hasan, G. T., Bajaj, M., & Toos, S. I. (2024). Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm. International Journal of Applied Power Engineering (IJAPE), 13(1), 213–222. https://doi.org/10.11591/ijape.v13.i1.pp213-222
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IEEE
M. R. Zaidan, G. T. Hasan, M. Bajaj, and S. I. Toos, “Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm,” International Journal of Applied Power Engineering (IJAPE), vol. 13, no. 1, pp. 213–222, 2024, doi: 10.11591/ijape.v13.i1.pp213-222.
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