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All Journal International Journal of Electrical and Computer Engineering SMARTek MEKTEK Foristek ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika PROtek : Jurnal Ilmiah Teknik Elektro KACANEGARA Jurnal Pengabdian pada Masyarakat Abditani : Jurnal Pengabdian Masyarakat INTEK: Jurnal Penelitian Jurnal Pengabdian Kepada Masyarakat (Mediteg) Jurnal Pengabdian Masyarakat Borneo JE-Unisla EPI International Journal of Engineering Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Bomba: Jurnal Pembangunan Daerah
Yuli Asmi Rahman
Jurusan Teknik Elektro, Fakultas Teknik,Universitas Tadulako
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Veterinary Other

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Journal : je-unisla

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Perbaikan Tegangan Pada Jaringan Distribusi 20 Kv Melalui Penempatan Pembangkit Tersebar Berbasis Particle Swarm Optimization Yuli Asmi Rahman; Sitti Nuradha Wati S; Ratih Mar’atus Shalihah; Irwan Mahmudi
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System Vol 7, No 1 (2022)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/je-unisla.v7i1.815

Abstract

Voltage losses are problems that often occur in distribution systems, resulting in voltage drops to reduce the electrical power supplied to consumers. The allowable stress drop in the distribution is +5% and -10%. One way to overcome this is to place scattered power plants into account the given location and capacity (MW and MVar). In this study, optimization of generator placement using an effective method is Particle Swarm Optimization (PSO). PSO is an algorithm that implements problem understanding. The sequence of news generators is carried out by directing the selection of Gbest, which has a minimum voltage drop value by increasing the number of particles. Initial simulation using a power flow study run via Matlab and ETAP. The objective function of this optimization process is drop voltage minimization with contraint function is the power loss of each bus. The final simulation found the best generator locations on buses 7, 10, and 13. After optimization, the voltage increase was obtained by 4.05%, 9.05%, and 10.15% on each bus.
PENGARUH MODIFIKASI PADA ALGORITMA HILL CLIMBING UNTUK PELACAKAN TITIK DAYA MAKSIMUM PHOTOVOLTAIC MENGGUNAKAN SEPIC CONVERTER Ratih Mar'atus Sholihah; Irwan Mahmudi; Yuli Asmi Rahman; Sundun Sada Maripi
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System Vol 8, No 1 (2023)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/je-unisla.v8i1.1043

Abstract

Renewable energy is an alternative energy to reduce the use of fossil energy, one of the renewable energy used today is photovoltaic. photovoltaic converts solar energy into electrical energy. The efficiency of photovoltaic is very low, so a method is needed to get the maximum power. The method for getting maximum power from photovoltaic is called Maximum Power Point Tracking (MPPT). MPPT is a method to track the power point of an energy source to produce maximum power. There are various methods and ways to realize MPPT control, one of which is the Modified Hill Climbing Algorithm (MHC) . The algorithm determines the duty cycle setting on the SEPIC Converter. It is intended that the converter work at maximum power. In testing using measurement and calculation data, the average tracking efficiency value = 99.99486%, the average tracking speed value = 0.189978s and the average tracking power value = 50.56408 Watt. Modified Hill Climbing Method provides better tracking power and efficiency when compared to simple Hill Climbing, but makes the Steady state response time 0.1s longer.
Co-Authors Adrianto, J Agus Siswanto Agustinus Kali Al-Habsyi, Faisal Amaliah, Asma Amar Amar Ambo Asse Ambo Asse Miranti Fahrul - Aminuyati Andi Arham Adam Andi Chaerul Achsan, Andi Chaerul Andi Idhan Andi Rusdin Anjar Asmara Ardi Nugraha ARDI NUGRAHA, ARDI Ardiansyah Ardiansyah Ardias, Erwin Arham, Andi Ashad, Bayu Adrian Baso Mukhlis Basri Basri Dadang Kurnia Dadang Kurnia, Dadang Daud Patabang Deny Wiria Nugraha Diana Diana E, Darmawan Erwin Ardias Saputra Fahrul Fahrul Hanni Maksum Ardi Hariyanto Hariyanto I W. Sutapa Indrajaya, Muhammad Aristo Irwan Mahmudi Irwan Mahmudi Iskandar Iskandar Iskandar Iskandar JAKARIYA - - Jakariya, Jakariya Khairil Anwar Khairil Anwar Khairil Anwar Lukman, Musfirah Putri M Rusdi Maharani, Dhyvia Mahmudi, Irwan Mardjudo, Ahsan Maryantho Masarrang Medi, Gery Mery Subito Miranty Miranty Mucharomah, Nurul Maghfiroh Muchsin Muchsin Muhammad Din Muhammad Sarjan Muhammad Sarjan Muhira Dzar Faraby, Muhira Dzar Mustika Mustika Mustofa Mustofa Mustofa Mustofa Nasution, Annio Indah Lestari Nurhani Amin PAMUSO, MARLIN Putra, Wisnu Rahmat Dwi Rachmawati, Sitti Ramadani, Angger Ratih Mar'atus Sholihah Ratih Mar’atus Shalihah Rizana Fauzi, Rizana Rizkhi Rizkhi Rustan Hatib Samnur . Santiyasa, I Nyoman setiawan, Dibyo Setiyawan Setiawan Sirad, Mochammad Apriyadi Hadi Siregar, Restu Ary Winata Sitti Nuradha Wati S sofyan sofyan Sonita, Anisya Sundun Sada Maripi Tan Suryani Sollu Thaha, Sarma Vauzia, Farrah Wahri Sunanda Wahyu H. Piarah Yulius Salu Pirade Yusnaini Arifin Zuryati Djafar