Feby Agung Pamuji
Institut Teknologi Sepuluh Nopember

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Perancangan dan Simulasi Full Bridge Inverter Lima Tingkat dengan Dual Buck Converter Terhubung Jaringan Satu Fasa Zamratul Fuadi; Mochamad Ashari; Feby Agung Pamuji
Jurnal Teknik ITS Vol 3, No 1 (2014)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.917 KB) | DOI: 10.12962/j23373539.v3i1.5402


Inverter merupakan perangkat elektronika daya yang berfungsi mengonversi sumber searah menjadi bolak-balik. Full bridge inverter adalah satu jenisnya yang mampu menghasilkan tegangan tiga tingkat jika menggunakan teknik modulasi unipolar. Penambahan sirkuit dual buck converter pada full bridge inverter mampu menghasilkan tegangan dalam lima tingkat. Dua saklar pada rangkaian dual buck converter switching pada frekuensi tinggi 20 kHz, sedangkan empat saklar pada full bridge inverter switching pada frekuensi rendah 50 Hz. Teknik modulasi in phase disposition PWM (PDPWM) digunakan untuk mengatur penyalaan saklar dual buck converter. Keluaran inverter lima tingkat dibandingkan dengan tiga tingkat. Total harmonic distortion tegangan (THDV) dan arus (THDi) inverter lima tingkat bernilai 23.2281 % dan 23.0975 %, sedangkan inverter tiga tingkat sebesar 51.9302 % dan52.2458 %. Ketika daya 1004.08 watt disumbangkan ke jala-jala, inverter lima tingkat menghasilkan power factor senilai 0.99 dan THDi 4.1 %. Pada sumbangan daya yang sama, inverter tiga tingkat menghasilkan power factor sebesar 0.919 dan THDi bernilai 45.64 %.
Predictive Duty Cycle of Maximum Power Point Tracking Based on Artificial Neural Network and Bootstrap Method for Hybrid Photovoltaic/ Wind Turbine System Considering Limitation Voltage of Grid Feby Agung Pamuji; Nurvita Arumsari; Mochamad Ashari; Hery Suryoatmojo; Soedibyo Soedibyo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.119


In this paper, we propose a new control-based the neural network and bootstrap method to get the predictive duty cycle for the maximum power point of hybrid Photovoltaic (PV) and Wind Turbine generator system (WTG) connected to 380 V grid. The neural network is designed to be controller by learning the data control of multi-input DC/ DC converter. The artificial neural network (ANN) needs many data for training then the ANN can give the predictive duty cycle to multi input DC/ DC converter. To get much data, we can use the bootstrap method to generate data from the real data. From Photovoltaic characteristic, we can get 344 real data after the data are made by bootstrap method we can get 8000 data. The 8000 data of PV can be used for training artificial neural network (ANN) of PV system. From wind turbine characteristic we can get 348 real data after the data are made by bootstrap method we can get 6000 data. The 6000 data of WT can be used for training artificial neural network of WT system. This new control has two responsibilities, are to shift the voltage of PV and WTG to optimum condition and to maintain the stability of grid system. From the simulation results those can be seen that the power of hybrid PV / WTG system using MPPT controller is in maximum power and has constant voltage and constant frequency of grid system.Keywords: bootstrap, maximum power tracking, neural network, stability.
Control Design of Wind Turbine System Using Fuzzy Logic Controller for Middle Voltage Grid Soedibyo Soedibyo; Feby Agung Pamuji; Mochamad Ashari
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar


This paper presents a  system wind turbine in order to have continously electricity supply for 20 kV grid. Output wind turbine controlled by dc-dc boost converter to produce maximum power in order to obtain the MPP (Maximum Power Point). Output of the converter is controlled by fuzzy logic to obtain the MPP (Maximum Power Point) wind turbine, thus the efficiency  wind turbine can be increased. The system of wind turbine is connected to 20 kV grid. From the simulation using matlab 2010 can be conclude that the controller can shift power to 75 % maximum power of wind turbine. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7167
Kontrol Tegangan pada Sistem Hybrid Panel Surya-Turbin Angin Menggunakan Manajemen Penyimpanan Baterai Soedibyo Soedibyo; Rezi Delfianti; Feby Agung Pamuji; Mochamad Ashari
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i3.16010


The purpose of this paper is to determine the control strategy of the renewable energy systems of hybrid solar panel power and wind turbines in maximizing voltage balance. The voltage control strategy needs to be designed, mainly when different load changes occur. If it is not done, it will affect the balance of power supplied to the load and usually damage the equipment used. Solar and wind energy sources significantly influence the stability of the applied voltage’s quality due to the fluctuating nature of renewable energy. This paper proposes control strategies for the use of PIs and the signal conditioning devices that are modified using the battery charging and discharging modeling while taking into account battery lifetime using PSIM software so that optimal voltage results from hybrid solar panel and wind turbine systems are obtained. The battery will be used as energy storage when the hybrid output power is over, which will then be used again when the hybrid output power is less than the load requirement. The signal conditioning device in this study uses five power converters, one AC to DC converter, two DC-DC boost converters, one bidirectional converter, 1 DC-AC bidirectional converter. Maximum output power uses MPPT, which is applied to the boost converter, whereas to regulate the voltage through charging and discharging the battery through the bidirectional buck-boost converter. This strategy provides the appropriate voltage on the AC side.
Desain Kontrol Multi – Input DC–DC Converter Sistem Hibrid Turbin Angin dan Sel Surya Menggunakan Kontrol Fuzzy Logic untuk Tegangan Rendah Feby Agung Pamuji; Soe Dibyo
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v4n2.165.2015


this paper describes a hybrid system that consist of  Wind Turbines and Photovoltaic to supply electricity continuously for  load. Output of Wind Turbines and Photovoltaic is controlled in order to generate maximum power. Multiple-input dc-dc converters is used to control power flow in order to have MPP (Maximum Power Point). Converter control using Fuzzy logic controller to control the output in order to be obtained MPP (Maximum Power Point) from Wind Turbines and Photovoltaic, so the efficiency of wind turbines and photovoltaic can be improved.Keywords : Maximum Power Point, Hybrid System, Fuzzy logic controllerAbstrak—Dalam makalah ini diuraikan sistem hibrid yang menggabungkan Turbin Angin dan Photovoltaic untuk memasok listrik terus-menerus pada beban. Output dari Turbin Angin dan Photovoltaic diatur agar menghasilkan daya yang maksimum. Konverter multiple-input buck-boost dc-dc digunakan untuk mengatur aliran daya agar didapatkan MPP(Maximum Power Point). Kontrol konverter menggunakan Fuzzy Logic controller untuk mengkontrol output sehingga didapat MPP(Maximum Power Point) dari Turbin Angin dan Photovoltaic, sehingga effisiensi dari Turbin Angin dan Photovoltaic dapat ditingkatkan.Kata Kunci : Maximum Power Point, system hibrid, Fuzzy Logic controller 
Pre-energize Analysis on 3 Phase Transformer by Considering Each Phase Flux Hadwim Septiawan; I Made Yulistya Negara; Feby Agung Pamuji
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 2 (2019)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i2.90


Inrush current is a transient phenomenon that occurs when a transformer is first energized to a voltage source at no-load conditions. It causes a very high inrush current. Inrush currents can adversely affect the electric power system and can cause improper work of a relay protection errors. The purpose of this study is to determine the amount of inrush current and minimize the amount of inrush current by using the pre-fluxing method. In this study, a test was carried out using a 3-kVA core type 3 phase transformer. This test is done by giving DC flux before the transformer is connected to the voltage source, then the three transformer phases are energized simultaneously at a certain voltage angle so that the inrush current may could be minimized. The test results show that the transformer that is given a DC flux always has a relatively small inrush current. In this test the inrush current is reduced to a minimum value at an ignition angle of 90 degrees with an inrush current value of 0.74 A in phase R, 3.41 A in phase S, and 3.80 A in phase T.Keywords: flux, inrush current, transformer, transient.
Design and Implementation of Solar Charge Controller with P&O MPPT for Light-Fishing in Ujung Pangkah, Gresik Wahyu Ardi Santosa; Sjamsjul Anam; Feby Agung Pamuji
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.82


Bagan tancap is a conventional fishing using diesel as its main source. This conventional method needs to be replaced with an eco-friendly and easy to use system, namely solar panels. The solar panels power is just limited by time so the stability of the system is poorly maintained that needs to be a battery as a storage of energy to improve system stability. However, the power that is not optimal causes the charging battery to take longer and not be constant with periods of weather and irradiation coditions. The charging battery without MPPT it tends not to be optimal because the solar panel does not operate at its maximum value. MPPT with perturb and observe algorithms can maximize power on solar cells with tracking speeds that depend on the response speed of the converter. While boost coverter has the ability to maintain potential differences that are tailored to the battery specifications and keep the current and voltage ripple values relatively small. For this reason, this final project will design and implement solar charge controller equipped with MPPT P & O (Perturb and Observe) and boost converter, this method can maximize the power of the solar panel by 97.84% with a faster charging time for 27 minutes.Keywords: light fishing, MPPT, perturb and observe, solar charge controller.