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Optimal parameter identification of fractional-order proportional integral controller to improve DC voltage stability of photovoltaic/battery system

International Journal of Power Electronics and Drive Systems · Vol. 16 No. 1 (2025) · hlm. 519–529

DOI
10.11591/ijpeds.v16.i1.pp519-529
ISSN
2722-256X, 2088-8694
Terbit
2025-03-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This study addresses the critical challenges of voltage stabilization in DC microgrids, where the inherent variability of renewable energy sources significantly complicates reliable operation. The focus is on optimizing the fractional-order proportional-integral (FO-PI) controller using four advanced techniques a whale optimization algorithm (WOA), grey wolf optimizer (GWO), genetic algorithm (GA), and sine cosine algorithm (SCA). Voltage instability poses substantial risks to the reliability and efficiency of DC microgrids, making the optimization of the FO-PI controller an essential task. Through comparative analysis, the study demonstrates that WOA outperforms the other methods, achieving superior voltage stability, resilience, and overall system performance. Notably, WOA achieves the lowest average cost function at 0.0004, compared to 0.892 for GWO, 0.659 for GA, and 0.096 for SCA, showcasing its effectiveness in fine-tuning the controller’s parameters. These findings highlight WOA robustness as a powerful tool for enhancing microgrid performance, especially in voltage regulation. The study underscores WOA potential in ensuring the reliable and efficient integration of renewable energy systems into DC microgrids and lays the groundwork for further research into its application in more complex and dynamic grid scenarios. By optimizing the FO-PI controller, WOA significantly contributes to the long-term stability and efficiency of DC microgrids.

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12 penulis · 21 tautan kepenulisan bersama · 13 lintas organisasi

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  • Ziane Achour University of Djelfa
  • King Fahd University of Petroleum and Minerals
  • Prince Sattam Bin Abdulaziz University
  • Yarmouk University
  • Minia University
  • Higher Institute of Engineering
  • University of Sharjah
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Rekan penulisOrganisasiArtikel bersama
Enas Taha SayedMinia University1
Sulaiman Z. AlmutairAfiliasi tidak diketahui1
Yahia Bahaa HassanHigher Institute of Engineering1
Mujahed Al‐DhaifallahKing Fahd University of Petroleum and Minerals1
Syed Muhammad AmrrKing Fahd University of Petroleum and Minerals1
Abdullah AlharbiKing Fahd University of Petroleum and Minerals1
Montaser MahmoudUniversity of Sharjah1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/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-US">Optimal parameter identification of fractional-order proportional integral controller to improve DC voltage stability of photovoltaic/battery system</dc:title>
	<dc:creator>Abdelhalim, Taibi</dc:creator>
	<dc:creator>Kouider, Laroussi</dc:creator>
	<dc:creator>Rezk, Hegazy</dc:creator>
	<dc:creator>Abdelkader, Rouibah</dc:creator>
	<dc:creator>Al-Quraan, Ayman</dc:creator>
	<dc:subject xml:lang="en-US">fractional order control; optimization; PV system; renewable energy; voltage stability</dc:subject>
	<dc:description xml:lang="en-US">This study addresses the critical challenges of voltage stabilization in DC microgrids, where the inherent variability of renewable energy sources significantly complicates reliable operation. The focus is on optimizing the fractional-order proportional-integral (FO-PI) controller using four advanced techniques a whale optimization algorithm (WOA), grey wolf optimizer (GWO), genetic algorithm (GA), and sine cosine algorithm (SCA). Voltage instability poses substantial risks to the reliability and efficiency of DC microgrids, making the optimization of the FO-PI controller an essential task. Through comparative analysis, the study demonstrates that WOA outperforms the other methods, achieving superior voltage stability, resilience, and overall system performance. Notably, WOA achieves the lowest average cost function at 0.0004, compared to 0.892 for GWO, 0.659 for GA, and 0.096 for SCA, showcasing its effectiveness in fine-tuning the controller’s parameters. These findings highlight WOA robustness as a powerful tool for enhancing microgrid performance, especially in voltage regulation. The study underscores WOA potential in ensuring the reliable and efficient integration of renewable energy systems into DC microgrids and lays the groundwork for further research into its application in more complex and dynamic grid scenarios. By optimizing the FO-PI controller, WOA significantly contributes to the long-term stability and efficiency of DC microgrids.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2025-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23585</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v16.i1.pp519-529</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 16, No 1: March 2025; 519-529</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v16.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23585/14875</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 TAIBI Abdelhalim, LAROUSSI Kouider, Hegazy Rezk, ROUIBAH Abdelkader, Ayman Al-Quraan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>