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Аutѳmаtіϲ generаtіѳn cѳntrol bаѕẹԁ wһale орtimіzatіѳn αlgorithm

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 6 (2019)

DOI
10.11591/ijece.v9i6.pp4516-4523
ISSN
2088-8708, 2088-8708
Published
2019-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In the designing and operation of interconnected power systems, automatic-generation-control (AGC) represent an important topic. AGC is responsible for maintaining the balance between generation side and load side via controlling the frequency and active power interchange. A new metaheuristic strategy is proposed in this work for optimal controller tuning in AGC system. Ԝһale Орtimіzatіоn Αlgorithm(WOA) is proposed for optimal tuning of reset integral controller. T he proposed strategy is used for optimal AGC in two-areas interconnected-power system. The proposed tuning strategy is compared with other new metaheuristic optimization strategy termed as Harmony Search (HS). The two-area interconnected power system are simulated based MATLAB-toolbox. From results obtained, it is obvious that, the system transient and steady-state behavior are enhanced greatly under the same conditions. This is due to the use of the proposed optimization technique. The proposed technique has an advanced and superior feature like, local optimum avoiding, fast convergence ability, and lower search agents and iteration are required. All mentioned features, make this strategy optimal for various optimization problems.

Collaboration network of the authors

6 authors · 8 co-authorship links

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  • University of Diyala
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Ali Najim AbdullahUniversity of Diyala2
Khalid Awaad HumoodUniversity of Diyala1
Adnan M. TahaUniversity of Diyala1

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>Аutѳmаtіϲ generаtіѳn cѳntrol bаѕẹԁ wһale орtimіzatіѳn αlgorithm</dc:title><dc:creator>Al-Din Abed, Wisam Najm</dc:creator><dc:creator>Imran, Omar A.</dc:creator><dc:creator>Fatah, Ibrahim S.</dc:creator><dc:description>&lt;jats:p&gt;In the designing and operation of interconnected power systems, automatic-generation-control (AGC) represent an important topic. AGC is responsible for maintaining the balance between generation side and load side via controlling the frequency and active power interchange. A new metaheuristic strategy is proposed in this work for optimal controller tuning in AGC system. Ԝһale Орtimіzatіоn Αlgorithm(WOA) is proposed for optimal tuning of reset integral controller. T he proposed strategy is used for optimal AGC in two-areas interconnected-power system. The proposed tuning strategy is compared with other new metaheuristic optimization strategy termed as Harmony Search (HS). The two-area interconnected power system are simulated based MATLAB-toolbox. From results obtained, it is obvious that, the system transient and steady-state behavior are enhanced greatly under the same conditions. This is due to the use of the proposed optimization technique.  The proposed technique has an advanced and superior feature like, local optimum avoiding, fast convergence ability, and lower search agents and iteration are required. All mentioned features, make this strategy optimal for various optimization problems.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-12-01</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.v9i6.pp4516-4523</dc:identifier><dc:identifier>10.11591/ijece.v9i6.pp4516-4523</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 6 (2019); 4516</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/18156/13146</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>