Asesmen Kemampuan Transfer Daya Pada Sistem Kelistrikan Sulbagsel Menggunakan Rekayasa Kecerdasan Artifisial

Ardhika, Darryl Yuma (2025) Asesmen Kemampuan Transfer Daya Pada Sistem Kelistrikan Sulbagsel Menggunakan Rekayasa Kecerdasan Artifisial. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Seiring dengan peningkatan jumlah penduduk Indonesia, permintaan listrik pada sistem kelistrikan di Indonesia juga mengalami peningkatan. Salah satu sistem kelistrikan yang mengalami peningkatan permintaan listrik adalah sistem kelistrikan Sulawesi Bagian Selatan (Sulbagsel), khususnya di Provinsi Sulawesi Barat dan Selatan. Untuk memenuhi permintaan tersebut, diperlukan asesmen Available Transfer Capability (ATC) yang optimal dan akurat agar sistem kelistrikan Sulbagsel dapat berjalan dengan optimal. Dalam penelitian ini, Firefly Algorithm (FA) digunakan untuk menghitung ATC pada sistem kelistrikan Sulbagsel. Saluran yang akan diobservasi adalah saluran antara Kota Parepare dan Sidrap serta Balusu, dan saluran antara Kota Palopo dan Makale serta Belopa. Berdasarkan hasil penelitian, FA berhasil memperoleh peningkatan rata-rata sebesar 2,33 MW untuk Total Transfer Capability (TTC) dan ATC. Hal ini sama dengan peningkatan TTC rata-rata sebesar 1,38% dan peningkatan ATC sebesar 80,37% dibandingkan dengan metode konvensional seperti Repeated Power Flow (RPF). Berdasarkan validasi sistem daya, hasil ATC yang lebih akurat dan optimal dapat dihasilkan oleh FA tanpa melanggar batasan tegangan dan termal dengan menyesuaikan pembangkitan daya aktif dan beban daya.
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In accordance with the rise in population in Indonesia, demand for electricity in the country’s power system has also increased. One of these power systems experiencing an upward trend in electricity demand is the Southern Sulawesi (Sulawesi Bagian Selatan, Sulbagsel) electricity system, particularly in the West and South Sulawesi province in Indonesia. Due to this problem, optimal and accurate Available Transfer Capability (ATC) assessment must be conducted to ensure that the Sulbagsel electricity system runs optimally. In this paper, Firefly Algorithm (FA) is used to assess ATC in the Sulbagsel electricity system. The observed transmission line is between the city of Parepare, Sidrap, and Balusu, and transmission line between the city of Palopo, Makale and Belopa. Based on the results, FA achieved an average improvement of 2.33 MW in both Total Transfer Capability (TTC) and ATC. This corresponds to a 1.38% increase in TTC and a 80.37% increase in ATC compared to conventional methods like Repeated Power Flow (RPF). Based on the power system validation, more accurate and optimal ATC results are able to be produced by FA without violating voltage and thermal constraints by adjusting real power generation and power load.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Available Transfer Capability, Total Transfer Capability, Sistem Transmisi, Firefly Algorithm, Available Transfer Capability, Firefly Algorithm, Total Transfer Capability, Transmission System
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission Q Science > Q Science (General) > Q337.3 Swarm intelligence Q Science > QA Mathematics > QA336 Artificial Intelligence Q Science > QA Mathematics > QA9.58 Algorithms
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Darryl Yuma Ardhika
Date Deposited:	28 Jul 2025 09:19
Last Modified:	28 Jul 2025 09:19
URI:	http://repository.its.ac.id/id/eprint/122252

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