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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System TECHNO-SOCIO EKONOMIKA JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Pengabdian Masyarakat Indonesia
Muhtar, Muhdalifah
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Analisis Pelepasan Beban Menggunakan Under Frequency Relay pada Sistem Tenaga Listrik Gardu Induk Palopo Muhdalifah Muhtar
Jurnal Teknik Elektro Indonesia Vol 3 No 1 (2022): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v3i1.194

Abstract

Kestabilan frekuensi adalah salah satu parameter dalam operasi sistem tenaga listrik yang baik. Salah satu cara untuk menekan penurunan frekuensi dengan cara pelepasan beban. Penelitian ini bertujuan untuk menganalisis pemodelan simulasi pelepasan beban dan nilai frekuensi serta waktu tunda pada under frequency relay yang optimal saat terjadi pelepasan beban pada GI Palopo. Dalam penelitian ini, metode yang digunakan yakni pendekatan kuantitatif dimana pengumpulan data dilakukan dengan studi literatur, observasi, dan wawancara langsung di kantor ULTG Palopo. Metode analisis perhitungan dan simulasi pelepasan beban menggunakan software ETAP 16.0. Simulasi yang dilakukan yakni lepasnya generator pada sistem tenaga listrik. Simulasi skenario lepasnya generator #Poso2 diperoleh daya generator yang terlepas sebesar 65 MW yang mengakibatkan penurunan frekuensi hingga 48.50 Hz, setelah dilakukan perhitungan, waktu pelepasan yang dibutuhkan relay sebesar 1.15 s dengan frekuensi pelepasan beban sebesar 49.463 Hz dan besar beban yang dilepaskan 63.769 MW. Setelah dilakukan pelepasan beban frekuensi berhasil naik hingga mencapai keadaan stabil 50.20 Hz. Untuk skenario generator #Poso1 dan Trafo Distribusi1 yang dilepas secara bersamaan daya yang lepas sebesar 97 MW menyebabkan frekuensi menurun hingga 49.3 Hz. Sehingga dari simulasi ditemukan bahwa metode perhitungan untuk pelepasan beban yang digunakan lebih optimal dan berhasil mengembalikan ke batas standar yang diinginkan.
SHORT TERM FORECASTING BEBAN LISTRIK MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Muhtar, Muhdalifah; Novie Ayub Windarko; Setiawardhana; Kadek Reda Setiawan Suda
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 20 No. 1 (2023): Edisi Januari 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptkundiksha.v20i1.53919

Abstract

In Masamba City, the use of electrical energy is influenced by the welfare of the population. The higher the level of welfare of the population, the greater the use of electricity. So, power plants must be ready to supply electricity load demand when experiencing sudden fluctuations in electricity demand. One way that needs to be done to deal with this is structured planning and forecasting. This study aims to analyze the results of the error value of the ability to forecast electrical loads using the Artificial Neural Network method. In this study, the method used is a quantitative approach where data collection is done by literature study, observation, and direct interviews at the UP3 Palopo office. The Artificial Neural Network (ANN) method is programmed using MATLAB software. Where forecasting using ANN obtained the smallest error value of 0.83% with an estimated power generated by ANN of 35,991 MVA on day 2 and for the largest error value on day 7 with an error value of 8.33% with estimated power generated by ANN of 36.0836 MVA.
PENINGKATAN KESTABILAN SISTEM ENERGI BEBASIS PLTB MELALUI CRITICAL CLEARING TIME YANG TERHUBUNG SMART GRID Fitriani, Fitriani; Mantofani, Risal; Muhtar, Muhdalifah
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18802

Abstract

Wind Power Plants (PLTB) are a vital renewable energy source in the global transition towards clean energy. PLTB holds great potential for reducing reliance on fossil fuels and enhancing the stability of power systems. However, unpredictable wind power fluctuations can challenge system stability. To address this, smart systems like the Smart grid are needed. The Smart grid is an evolution of traditional power systems equipped with dynamic optimization techniques to improve real-time efficiency, reliability, and sustainability. Additionally, transient stability analysis is crucial for maintaining system stability during disturbances. One method used is the Critical Clearing Time (CCT) calculation, which determines the critical disconnection time from the onset of the disturbance until synchronization is lost. This study uses transient analysis simulations on the Sungguminasa – Maros power system, utilizing the Power System Analysis Toolbox (PSAT) under MATLAB. By integrating PLTB with the Smart Grid, it is expected that better coordination between power system components can be achieved, enhancing not only the system’s reliability and stability but also optimizing overall energy efficiency.
KONFIGURASI SETTING RELAY TEGANGAN NOL (RTN) PADA GARDU INDUK (GI) MASAMBA Muhtar, Muhdalifah; Amri, Nurul Amalia; Nurfadhilah, Annisa; Ridhwan, Muhammad
TECHNO-SOCIO EKONOMIKA Vol 17 No 2 (2024): Jurnal Techno-Socio Ekonomika - Oktober
Publisher : LPPM Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/techno.2024.17.2.3838

Abstract

Masamba Substation (GI), located at the endpoint of the Sulselrabar electrical system, often experiences disruptions due to high lightning activity. These disruptions can lead to transformer energization under load conditions, posing risks of significant transformer damage and destabilizing the electrical system. To address this, an effective protection scheme is needed. The Zero Voltage Relay (RTN) is designed to prevent transformer energization under load, making it crucial to configure and test RTN at Masamba GI. This study aims to implement the RTN protection scheme and determine the optimal configuration to protect the transformer and maintain electrical system stability at Masamba GI. Given the frequent disruptions and associated risks, a quantitative method was employed. This included collecting technical data from GI equipment, testing the RTN configuration using the MiCOM P143 relay, and analyzing undervoltage and undercurrent parameters as RTN trigger inputs. The results demonstrated that the RTN operated effectively, automatically releasing the load during disturbances, thereby preventing transformer energization under load. The applied RTN settings increased the selectivity and reliability of the protection system, ensuring the RTN only activated during critical situations. This not only prevented potential transformer damage but also contributed to extending its lifespan and improving overall system stability. The RTN configuration at Masamba Substation proves to be a reliable solution for mitigating risks associated with frequent lightning-induced disruptions, enhancing both protection and system resilience.
Pengenalan Teknologi Kecerdasan Buatan dan IoT untuk Meningkatkan Pengetahuan Siswa SMK Teknik Listrik di Dunia Industri dan Pendidikan Itasari, Maya; Amri, Nurul Amalia; Muhtar, Muhdalifah; Nurfadhilah, Annisa; Ridhwan, Muhammad; Fahrul Farid, Andi
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 2 (2025): JPMI - April 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3521

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan teknologi Kecerdasan Buatan (Artificial Intelligence/AI) dan Internet of Things (IoT) kepada siswa Sekolah Menengah Kejuruan (SMK) Darussalam jurusan Teknik Listrik. Permasalahan yang dihadapi adalah kurangnya pemahaman siswa mengenai teknologi AI dan IoT yang semakin berkembang dan relevan dengan kebutuhan industri. Sebagai solusi, program ini dirancang untuk meningkatkan literasi teknologi siswa melalui pelatihan yang mencakup pengenalan konsep dasar AI dan IoT, aplikasi praktis di bidang teknik listrik seperti smart grid dan automasi sistem, serta tren perkembangan teknologi. Metode yang digunakan dalam kegiatan ini meliputi seminar untuk penyampaian materi, diskusi interaktif guna meningkatkan pemahaman, serta kuis evaluasi untuk mengukur peningkatan pengetahuan siswa. Kegiatan menunjukkan antusiasme tinggi dari siswa serta peningkatan pemahaman mereka terhadap teknologi AI dan IoT, sebagaimana terlihat dari hasil evaluasi kuis yang menunjukkan peningkatan skor secara signifikan. Dampak dari program ini mencakup peningkatan kompetensi siswa dalam memahami dan mengaplikasikan teknologi modern, meningkatkan motivasi mereka untuk mengembangkan ide inovatif, serta membantu sekolah dalam mencetak lulusan yang lebih siap menghadapi tantangan Revolusi Industri 4.0 dan 5.0. Dengan demikian, kegiatan ini berkontribusi terhadap peningkatan kualitas pendidikan vokasi dan kesiapan tenaga kerja di bidang teknik listrik.
Co-Authors AA Sudharmawan, AA Amri, Nurul Amalia Fahrul Farid, Andi Fitriani Fitriani Kadek Reda Setiawan Suda Maya Itasari Muhammad Ridhwan Novie Ayub Windarko Nurfadhilah, Annisa Risal Mantofani Arpin Setiawardhana