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All Journal ELKHA : Jurnal Teknik Elektro Jurnal Teknik ITS Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Destina Surya Lestari
Department Of Electrical Engineering, Institut Teknologi PLN, Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Perancangan dan Implementasi Modulator FSK untuk Perangkat Transmitter Satelit ITS-SAT pada Frekuensi 436,915 MHz Destina Surya Lestari; Eko Setijadi; Suwadi Suwadi
Jurnal Teknik ITS Vol 2, No 2 (2013)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.541 KB) | DOI: 10.12962/j23373539.v2i2.3385

Abstract

Saat ini perkembangan satelit di Indonesia selangkah lebih maju, hal tersebut ditandai dengan pembuatan satelit nano IINUSAT (Indonesian Inter University Satellite) yaitu satelit yang dikembangkan dengan kerjasama antar universitas ternama di Indonesia; UI, ITB IT Telkom, UGM, ITS dan PENS. Saat ini Institut Teknologi Sepuluh Nopember mencoba membuat satelit sendiri yang dimulai dengan proyek satelit ITS-SAT. Untuk mendukung pembuatan satelit ITS-SAT diperlukan subsystem yang terdiri dari perangkat transmitter (modulator FSK dan Power Amplifier), receiver (demodulator FSK dan Low Noise Amplifier), dan OBDH. Tugas akhir ini difokuskan pada perakitan modulator FSK pada perangkat transmiter yang mempunyai kecepatan transfer data sebesar 9600 bps yang bekerja pada frekuensi downlink 436,915 MHz. Perangkat modulator dirancang agar dapat memodulasi sinyal carier dengan frekuensi defiasi tertentu sesuai sinyal informasi. Melalui perancangan dan implementasi didapatkan perangkat modulator FSK pada perangkat transmiter berbasis IC MAX7049.
Optimization Analysis of Protection Coordination in Loop Distribution Systems with Integrated Distributed Generation Using the Firefly Algorithm and Conventional Methods Lestari, Destina Surya; Nursita, Ersalia Dewi; Wijanarko, Rahmat Febrianto
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.6150

Abstract

This study evaluates the comparison between conventional methods and the firefly method in the protection coordination of power systems with the addition of Distributed Generators (DG). DG is a crucial component in modern systems that can influence the performance of protection and existing protection coordination. Conventional methods involve relay setting adjustments and fault current coordination, but the addition of DG can significantly alter system characteristics, affecting the performance of conventional methods. This study introduces the firefly method, which utilizes an optimization algorithm inspired by the light-emitting behavior of fireflies to dynamically adjust relay settings, considering system changes due to the addition of DG. The results indicate that the firefly method enhances protection coordination performance by being more adaptive to system changes. Compared to conventional methods, the firefly method provides better responsiveness to dynamic variations in power flow and fault currents. Thus, this study concludes that implementing the firefly method in power system protection coordination with DG integration can improve system reliability and the overall efficiency of DG utilization. This method offers a more adaptive and responsive solution to changes in modern power systems.
Integration of Artificial Intelligence for Enhanced Coordination of DOCR Protection in Distributed Generation Systems Lestari, Destina Surya; Samsurizal, Samsurizal; Makkulau, Andi
ELKHA : Jurnal Teknik Elektro Vol. 16 No.1 April 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v16i1.72876

Abstract

Distributed generation (DG) is an approach that involves adding decentralized power generation within a distribution network. Distributed generation systems can reduce transmission losses, increase the reliability of energy supply, minimize carbon emissions, and enable the active participation of consumers in energy production. However, with the increase in distributed generation, electric power systems face new challenges in maintaining operational reliability and safety. Disruptions such as short circuits or overcurrent can occur in the system, and appropriate protective responses are required to protect the power grid from more significant damage. The addition of DG also causes the short circuit current to vary and results in system protection coordination having to be redone. Carrying out coordination will take a long time. This research uses modeling and simulation of a distributed generation system with various operating conditions and works adaptively according to changes in the system due to the addition of DG. The results obtained from the simulation are used in neural network training to study the relationship patterns between directional overcurrent relays (DOCR) parameters and system operating conditions. The backpropagation algorithm is used in the Artificial Neural Network (ANN) training process. The training process utilizes the maximum Short Circuit Current (ISC) input obtained through generation, fault location, and fault type. Time Dial Setting (TDS) and Ipickup values are used as ANN training targets. After testing, the results obtained are in accordance with the target data. The efficacy of this method is further demonstrated through ETAP simulations, which confirm that ANN is a suitable approach for modeling adaptive and optimal relay coordination systems.
Co-Authors Makkulau, Andi Nursita, Ersalia Dewi Rahmat Febrianto Samsurizal Samsurizal Setijadi, Eko Suwadi Suwadi