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Desain dan Analisis Variabel Air Gap pada Motor Axial Flux Brushless DC Berbasis 3D Finite Element Method Untuk Aplikasi Kendaraan Listrik Achmad Abdul Ghoni; Heri Suryoatmojo; Mochamad Ashari
Jurnal Teknik ITS Vol 4, No 2 (2015)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.003 KB) | DOI: 10.12962/j23373539.v4i2.9689

Abstract

Seiring berjalannya waktu dibutuhkan pengembangan teknologi pada motor penggerak pada kendaraan yang beredar dipasaran. Karena sumber energi fosil merupakan energi yang tidak dapat diperbarui, maka pengembangan kendaraan dengan listrik sebagai sumber energi adalah solusi untuk penghematan energi dimasa depan. Salah satu jenis motor yang tepat untuk digunakan sebagai penggerak kendaraan akan dibahas pada tugas akhir ini, yaitu motor axial flux brushless DC. Pada tugas akhir ini dilakukan pembuatan desain dan analisis simulasi  variabel air gap pada motor axial flux brushless DC dengan rating daya output 12 kW, tegangan DC input 400 V, frekuensi 200 Hz, dan kecepatan 2388 rpm. Varasi variabel air gap dilakukan dengan cara membuat jarak air gap pada jari-jari dalam lebih lebar dibandingkan jari-jari luar. Variasi variabel air gap yang diberikan menghasilkan perubahan nilai pada beberapa parameter kelistrikan motor. Dari simulasi yang didapatkan variasi variabel air gap terbaik pada 1,5 mm dengan kompensasi penambahan ketebalan magnet permanen sebesar 5 mm. Hasil dari variabel air gap pada motor axial flux brushless DC adalah rating daya output yang meningkat menjadi 14,5 kW dengan efisiensi 78,8 persen dan core loss sebesar 356,2 W.
KOMBINASI FEED BACK DAN FEED FORWARD KONTROLLER PI SEBAGAI KENDALI DYNAMIC VOLTAGE RESTORER (DVR) UNTUK MEMULIHKAN VOLTAGE SAG DAN INTERRUPTION Dimas Anton A; Imron Rosyadi; Mochamad Ashari; Heri Suryoatmojo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 7, No 2: August 2009
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v7i2.581

Abstract

Dynamic voltage restorer (DVR) is one of equipments to protect sensitive load from voltage drop. DVR is installed series with line feeder by serial transformer which injecting voltage when under voltage occurs. This research is investigate the capability of DVR, which controlled by combination of feed back and feed forward PI, to handle voltage sag and interruption. DVR controls have been designed and implemented in DVR prototype. As a result, in simulation, DVR can maintain voltage in range 90% - 105% nominal voltage. Voltage at load side can be restored to 1 pu and 0.79 pu when voltage sag and interruption respectively. Furthermore, DVR prototype can restore 0.95 pu when voltage sag and 0.54 pu when interruption.
Dynamic Economic Dispatch On Micro Grid Electrical Systems Using Quadratic Programming Heri Suryoatmojo; Fakhruddin Wirakusuma; Rony Seto Wibowo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 1 (2018)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i1.39

Abstract

Currently the needs of electric power increased rapidly along with the development of technology. The increase in power requirements is contrary to the availability of sources of energy depletion of oil and coal. This problem affects the national electrical resistance. To meet the needs of large electric power with wide area coverage is required small scale distributed power generation. This distributed generation (DG) of renewable energy sources sought to minimize the use of energy resources such as oil and coal and connected to the micro grid and use the battery as a power balance. Because of there are many DGs and the use of batteries, therefore it is important to determine the optimal power generation of each plant as well as the use of battery based on the optimal capacity so that requirement of electric power can be met with minimal cost each time. This optimization is known as Dynamic Economic Dispatch. In this study, the methods of Quadratic Programming is required to solve the optimization problem.Keywords: micro grid, Dynamic Economic Dispatch, Quadratic Programming, Battery, Energy Storage
Transformerless dc Converter for Distributed Solar Power Generation System Heri Suryoatmojo; Akbar Faiz; Mochamad Ashari; Ronny Mardiyanto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.7

Abstract

There are two types of distributed solar power generation system stand-alone system and grid-connected system. In grid-connected system usually are equiped with additional transformer to transfer the energy from solar power to the grid. However, it has resulted in considerable cost in providing these systems. Therefore in this reserach develops boost transformerless inverter system. The proposed system consists of a boost converter and transformerless inverter. Boost converter is used to increse the dc voltage yield by photovoltaic (PV) and delivered to the grid by mean of  transformerless inverter.In order to maximize the power from PV, the proposed system is also designed with Maximum Power Point Tracking (MPPT) by changing the value of modulation index in the transformerless inverters. From the simulation results show that the system can work effectively in a variety conditions such as light intensity changed and fluctuating in the grid  voltage side. Keywords: Inverter Transformerless, Boost Converter, MPPT, Photovoltaic.
Optimal Design of Hydrogen Based Wind-Microhydro Using Genetic Algorithm Soedibyo Soedibyo; Heri Suryoatmojo; Imam Robandi; Mochamad Ashari
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The target of stand-alone hybrid power generation system was to supply the load demand with high reliability and economically as possible. To design these criteria the optimal design of the proposed configuration should be done by using intelligent optimization technique.  This study utilized Genetic Algorithm method to determine the optimal capacities of hydrogen, wind turbines and micro hydro unit according to the minimum cost objective functions that relate to these two factors. In this study, the cost objective function included the annual capital cost, annual operation maintenance cost, annual replacement cost and annual customer damage cost. The proposed method had been tested in the hybrid power generation system located in Leuwijawa village in Central Java of Indonesia. Simulation results showed that the optimum configuration can be achieved using 19.85 ton of hydrogen tanks, 21 x 100 kW wind turbines and 610 kW of micro hydro unit respectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1326