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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS IPTEK Journal of Proceedings Series JURNAL NASIONAL TEKNIK ELEKTRO JAVA Journal of Electrical and Electronics Engineering Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Marine Engineering Innovation and Research JAREE (Journal on Advanced Research in Electrical Engineering) SinarFe7 Sewagati Jurnal Rekayasa elektrika Mein: Journal of Mechanical, Electrical & Industrial Technology
Feby Agung Pamuji
Institut Teknologi Sepuluh Nopember
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : JAREE (Journal on Advanced Research in Electrical Engineering)

 1 
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): October
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

Abstract

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.
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): October
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

Abstract

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): April
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

Abstract

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.
Design And Simulation Of 10 kW BLDC Motor Speed Control For Electric Vehicles Using FOC Based On Fuzzy Logic Control Rizqulloh, Mochamad Shofwan; Pamuji, Feby Agung; Suryoatmojo, Heri
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 1 (2024): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i1.386

Abstract

The use of electric vehicles in the current era has begun to spread evenly. Apart from the issue of air pollution produced by ICE vehicles, the ease and practicality of using electric vehicles is the reason why the public is starting to become interested in electric vehicles. Electric vehicle manufacturers are currently choosing BLDC motors for their production vehicles because they are considered suitable for applications that require high power and torque output. However, BLDC motors require more complicated control techniques than other DC motors. The commonly used BLDC motor speed control methods are trapezoidal scalar control and field oriented control. FOC is a type of BLDC motor control with a vector control method which has advantages in terms of efficiency compared to scalar control methods. Many studies on implementing FOC as speed control for BLDC motors, but the research that has been carried out still uses PI control as a basis, where it is known that PI control has shortcomings in the form of complexity in its design. Fuzzy Logic Control is known to be easy to design and reliable in control, so this paper will show the performance of Fuzzy-PI based FOC control as speed control for 10kW BLDC motor in simulation using Simulink program. The simulation results of proposed Fuzzy-PI based FOC method have better response than PI based FOC in terms of starting response with 6.43 times faster rise time, 2.45 times faster settling time, 96.31% lower overshoot value and reliability in overcoming disturbances up to 78.05% lower overshoot value and 2.33 times faster recovery time.
Power Allocation based on ANN for Hybrid Battery and Supercapacitor Storage System in EV Rahmawan, Hanif Adi; Lystianingrum, Vita; Adityanugraha, Dimas Febry; Pamuji, Feby Agung
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.385

Abstract

The paper focuses on presented an ArtificialNeural Network (ANN) approach to allocate power for a hybridenergy storage system (HESS) in an Electric Vehicle (EV). TheHESS is comprised of a battery and supercapacitor, and theANN algorithm aims to optimize power allocation between thesetwo energy storage devices. The data for ANN training wasbased on cost optimization-based power allocation fromprevious research. While optimization can often take highcomputational resource and time, it is expected that a welltrained ANN can allocate power for the EV HESS more quickly.In this research, the inputs to the ANN are the required powerderived from the drive cycle, energy and power capacity of thebattery and supercapacitor, and state of charge (SoC) of thebattery and supercapacitor. The trained ANN was trained withvarious inputs not used in the training and it shows satisfactoryperformance.
Sizing of Energy Storage Systems in Electric Vehicles based on Battery-Supercapacitor Technology Alfani, Denny; Adityanugraha, Dimas Febry; Putri, Vita Lystianingrum Budiharto; Pamuji, Feby Agung
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.388

Abstract

The purpose of this research is to determine the ideal hybrid energy storage system (HESS) size with the goal to improve the effectiveness and efficiency of combined battery and supercapacitor energy storage in electric vehicles. The research uses Mixed Integer Linear Programming (MILP) to determine the most suitable configurations using simulation data from a modeled electric vehicle. The results show that MILP works at identifying the specific capacity needs of the storage system, which change based on the vehicle's power and energy capacity. The innovation provides a paradigm for the development of sustainable and highly efficient electric vehicles in the future, while also enhancing the functionality of current electric vehicles.
Co-Authors Adi Kurniawan Adityanugraha, Dimas Febry Alfani, Denny Aprilia Rahmayanti Ardyono Priyadi Arumsari, Nurvita Arumsari, Nurvita Aryani, Ni Ketut Daniar Fahmi, Daniar Dedet Candra Riawan Dibyo, Soe Hadwim Septiawan Herbert Innah Heri Suryoatmojo Hery Suryoatmojo I Made Yulistya Negara IGP Suta Wijaya Ksatria, Arief Budi Lystianingrum, Vita Mochamad Ashari Nadilah Laksmi Marahaini Nursalim ST MT Nurvita Arumsari Ontoseno Penangsang Pius Aditya Kurnia Ray Prasetiyono Hari Mukti Rahmawan, Hanif Adi Rayhan, Muhammad Faris Rezi Delfianti Rizqulloh, Mochamad Shofwan Ronny Mardiyanto, Ronny Rony Seto Wibowo Sjamsjul Anam Soe Dibyo Soedibyo Soedibyo Soedibyo Soedibyo Soedibyo Talitha Puspita Sari Vita Lystaningrum Budiharto Putri Vita Lystianingrum Wahyu Ardi Santosa Widi Aribowo Yurisqi, Muhammad Athariq Zamratul Fuadi