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An Optimal LFC in Two-Area Power Systems Using a Meta-heuristic Optimization Algorithm

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 6 (2017)

DOI
10.11591/ijece.v7i6.pp3217-3225
ISSN
2088-8708, 2088-8708
Published
2017-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.

Collaboration network of the authors

10 authors · 18 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Diyala
  • University of Anbar
  • Universiti Tenaga Nasional
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Husham Idan HusseinUniversity of Diyala2
Mohammed Saadi HasanUniversity of Diyala1
Hatim Ghadhban AboodUniversity of Diyala1
Mayyadah Sahib IbrahimUniversity of Diyala1
Ahmed Majeed GhadbanAffiliation unknown1

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>An Optimal LFC in Two-Area Power Systems Using  a Meta-heuristic Optimization Algorithm</dc:title><dc:creator>Najeeb, Mushtaq</dc:creator><dc:creator>Mansor, Muhamad</dc:creator><dc:creator>Feyad, Hameed</dc:creator><dc:creator>Taha, Esam</dc:creator><dc:creator>Abdullah, Ghassan</dc:creator><dc:description>&lt;jats:p&gt;In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-12-01</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.v7i6.pp3217-3225</dc:identifier><dc:identifier>10.11591/ijece.v7i6.pp3217-3225</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 6 (2017); 3217</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/8692/7354</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>