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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Equivalent: Jurnal Ilmiah Sosial Teknik
Humaidi, Haneef Nouval Alannibras
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences

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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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Perbaikan Kontrol Generasi Otomatis (AGC) dengan 2DOF-PID-PIID pada Dua Area Turbin Non Reheat dalam Sistem Tenaga yang Saling Terhubung Irawan, Rio; Hakim, Ermanu Azizul; Humaidi, Haneef Nouval Alannibras
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11212

Abstract

An efficient and reliable electric power system must be able to maintain operational stability, especially in maintaining frequency stability to remain at its nominal value, both in constant conditions and when disturbances occur. For this reason, optimal frequency control is needed through Automatic Generation Control (AGC). In AGC, a controller is needed to accelerate the frequency response so that it is quickly stabilized. This study proposes the development of a 2DOF-PID controller into a 2DOF-PID-PIID optimized using the Dandelion Optimizer (DO) to improve AGC performance in the context of Load Frequency Control (LFC). The test results show that the DO algorithm gives better results compared to the Sine Cosine Algorithm (SCA), Pelican Optimization Algorithm (POA), and Archimedes Optimization Algorithm (AOA). Therefore, DO is chosen to optimize 2DOF-PID-PIID. The 2DOF-PID-PIID controller optimized with DO produces an ITAE (Integral Time Absolute Error) value of 0.001276, which is superior compared to the 2DOF-PID (0.00158), 2DOF-PID-PID (0.00158), PID (0.001833), and PIDD (0.002022) controllers, indicating its effectiveness in accelerating the response and maintaining frequency stability in the electric power system.
Co-Authors Al Ghozy, Naufal Arif, Denny Jumbo Ahmad Ermanu Azizul Hakim Irawan, Rio Zulfatman Zulfatman