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Dynamic security assessment for the power system in the presence of wind turbines

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 9 No. 3 (2021) · hlm. 563–574

DOI
10.52549/.v9i3.3010
ISSN
2089-3272, 2089-3272
Terbit
2021-08-18
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

Dynamic security is an essential requirement for operating a modern power system. Due to the global increase in load demand, modern power systems witness several dramatic changes in terms of size and implementation of new renewable sources. At the same time, the deregulation process in power operation policy is being pushed to operate closer to its security boundary limits. Based on the combined Decision Tree (DT) algorithm, namely Random Forest (RF) and advance attribute selection technique, this paper presents an approach to address these challenges related to dynamic security assessment (DSA) in the modern power system. The performance of study approach is demonstrated on a modified version of IEEE 9 and 14-bus test system models with presence of two wind turbines (WTs) type WTG 3. Results show the superiority of RF compared to other DT algorithms that are used in this study. In addition, the attribute selection technique could significantly affect the number of attributes required for DSA. This makes DT classifier more effectiveness in the online application. Thus, this approach can provide control center with vital information with high accuracy results and less attributes about security state direction that will help operator to take the right and fast steps to remedy problems and prevent a blackout from occurring.

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  • University of Mosul
  • University of Technology Malaysia
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Rekan penulisOrganisasiArtikel bersama
Mohannad Abdulkhaliq AlhubaityUniversity of Mosul2
M. F. RahmatUniversity of Technology Malaysia1
Mohd Wazir MustafaUniversity of Technology Malaysia1
Omar Sharaf Al-Deen Al-YozbakyAfiliasi tidak diketahui1
Omar Sharaf Al-Deen Yehya Al-YozbakyAfiliasi tidak diketahui1
Raghad Adeeb OthmanUniversity of Mosul1

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Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Dynamic security assessment for the power system in the presence of wind turbines</dc:title>
	<dc:creator xml:lang="en">Khalel, Saraa Ismaeel</dc:creator>
	<dc:creator xml:lang="en">Al-Rawe, Mohammed Ali Abdullah Mohammed</dc:creator>
	<dc:creator xml:lang="en">Alabbawi, Ali Abbawi Mohammed</dc:creator>
	<dc:subject xml:lang="en">Dynamic security assessment</dc:subject>
	<dc:subject xml:lang="en">Renewable energy</dc:subject>
	<dc:subject xml:lang="en">wind turbine</dc:subject>
	<dc:subject xml:lang="en">Decision tree</dc:subject>
	<dc:subject xml:lang="en">Random Forest</dc:subject>
	<dc:description xml:lang="en">Dynamic security is an essential   requirement for operating a modern power system. Due to the global increase   in load demand, modern power systems witness several dramatic changes in   terms of size and implementation of new renewable sources. At the same time,   the deregulation process in power operation policy is being pushed to operate   closer to its security boundary limits. Based on the combined Decision Tree   (DT) algorithm, namely Random Forest (RF) and advance attribute selection   technique, this paper presents an approach to address these challenges   related to dynamic security assessment (DSA) in the modern power system. The   performance of study approach is demonstrated on a modified version of IEEE 9   and 14-bus test system models with presence of two wind turbines (WTs) type   WTG 3. Results show the superiority of RF compared to other DT algorithms   that are used in this study. In addition, the attribute selection technique   could significantly affect the number of attributes required for DSA. This   makes DT classifier more effectiveness in the online application. Thus, this   approach can provide control center with vital information with high accuracy   results and less attributes about security state direction that will help   operator to take the right and fast steps to remedy problems and prevent a   blackout from occurring.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2021-08-18</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/3010</dc:identifier>
	<dc:identifier>10.52549/.v9i3.3010</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 9 No. 3: September 2021; 563-574</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/3010/631</dc:relation>
</oai_dc:dc>