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Optimal parameters of inverter-based microgrid to improve transient response

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 1 (2020)

DOI
10.11591/ijece.v10i1.pp637-650
ISSN
2088-8708, 2088-8708
Published
2020-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The inertia issues in a microgrid can be improved by modifying the inverter control strategies to represent a virtual inertia simulation. This method employs the droop control strategy commonly used to share the power of a load among different power sources in the microgrid. This paper utilizes a modified droop control that represents this virtual inertia and applies an optimization algorithm to determine the optimal parameters and improve transient response. The results show better control when different variations are presented in the loads, leading the microgrid to have a better control of the operation. The optimization method applied in this research allows improvement to the transient response, thus avoiding unnecessary blackouts in the microgrid.

Collaboration network of the authors

27 authors · 48 co-authorship links · 20 across different organisations

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  • Universidad Nacional de Colombia
  • Universidad Católica de Manizales
  • Tecnológico de Antioquia
  • Universidad del Magdalena
  • Universidad de la Costa
  • Institución Universitaria Pascual Bravo
  • National Research Council
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Alejandro RincónUniversidad Católica de Manizales3
Nicolás Toro GarcíaUniversidad Nacional de Colombia3
Yeison Alberto Garcés-GómezUniversidad Católica de Manizales2
Gloria Yaneth Flórez YépesUniversidad Católica de Manizales2
John Alexander TabordaUniversidad del Magdalena2
Héctor A. Tabares-OspinaInstitución Universitaria Pascual Bravo2
Mauricio García VargasUniversidad Nacional de Colombia2
Carlos Ildefonso Hoyos VelascoNational Research Council2
Luis Gabriel Lafaurie PonceUniversidad Nacional de Colombia2
Eder Alexander Molina ViloriaTecnológico de Antioquia2
Lina F. AcevedoUniversidad Nacional de Colombia1
Gilbert Bothia-VargasUniversidad Nacional de Colombia1
Fabiola AnguloAffiliation unknown1
Michel Duran-QuinteroUniversidad de la Costa1
Jose Soto-OrtizAffiliation unknown1
Odair Augusto Trujillo OrozcoUniversidad Nacional de Colombia1
Aquiles J. MoreloUniversidad Nacional de Colombia1
Simeón Casanova TrujilloUniversidad Nacional de Colombia1
Susana V. AwadUniversidad Nacional de Colombia1
Joaquin F OrozcoUniversidad Nacional de Colombia1
Gonzalo M AriasTecnológico de Antioquia1
Pablo PeláezTecnológico de Antioquia1
Vladimir Henao-CéspedesUniversidad Católica de Manizales1
Juan Carlos Granobles ToresUniversidad de Manizales1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref 
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Optimal parameters of inverter-based microgrid to improve transient response</dc:title><dc:creator>Pizarro Pérez, Sergio Andrés</dc:creator><dc:creator>Candelo-Becerra, John E.</dc:creator><dc:creator>Hoyos Velasco, Fredy E.</dc:creator><dc:description>&lt;jats:p&gt;The inertia issues in a microgrid can be improved by modifying the inverter control strategies to represent a virtual inertia simulation. This method employs the droop control strategy commonly used to share the power of a load among different power sources in the microgrid. This paper utilizes a modified droop control that represents this virtual inertia and applies an optimization algorithm to determine the optimal parameters and improve transient response. The results show better control when different variations are presented in the loads, leading the microgrid to have a better control of the operation. The optimization method applied in this research allows improvement to the transient response, thus avoiding unnecessary blackouts in the microgrid.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i1.pp637-650</dc:identifier><dc:identifier>10.11591/ijece.v10i1.pp637-650</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 1 (2020); 637</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/20433/pdf</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>