Eka Prasetyono, Eka
Program Studi Teknik Elektro Industri, Departemen Teknik Elektro, Politeknik Elektronika Negeri Surabaya

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RANCANG BANGUN PHOTOVOLTAIC SOLAR TRACKER DENGAN REFLEKTOR CERMIN DATAR BERBASIS MIKROKONTROLER Prasetyono, Eka; Windarko, Novie Ayub; Badriyah, Luluk
INOVTEK POLBENG Vol 8, No 2 (2018): INOVTEK VOL.8 NO 2 - 2018
Publisher : INOVTEK POLBENG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.7 KB)

Abstract

Energi listrik yang mampu dibangkitkan oleh photovoltaic (PV) sangat dipengaruhi oleh faktor-faktor eksternal seperti intensitas iradiasi matahari, suhu lingkungan dan orientasi sudut kemiringan dari pemasangan PV.  Intensitas iradiasi matahari di permukaan bumi selalu berubah-ubah nilainya seiring dengan pergerakan matahari di langit mulai matahari terbit sampai terbenam. Pada makalah ini akan dibahas PV solar tracker dengan reflektor cermin datar untuk mendapatkan intensitas iradiasi matahari yang maksimal sepanjang hari. Penggunaan reflektor dalam makalah ini bertujuan untuk meningkatkan diffuse irradiance dan memperpendek jarak tempuh pergerakan solar tracker sehingga lebih hemat energi. Solar tracker didesain bergerak otomatis mengikuti posisi matahari dengan memperbarui sudut solar tracker sesuai sun hour angle (sudut jam matahari) secara periodik 1 jam sekali. Penentuan sudut solar tracker dikontrol oleh mikrokontroler ATMega16. Hasil percobaan lapangan diperoleh daya yang mampu dihasilkan PV menggunakan solar tracker dengan reflektor cermin datar setiap jamnya mengalami kenaikan daya rata-rata sebesar 76.05% dibandingkan dengan PV terpasang statis. Secara komulatif dalam satu hari energi didapatkan posentase kenaikan energi dapat mencapai 75.20% dibandingkan dengan PV yang dipasang secara statis. Sedangkan konsumsi energi untuk menggerakkan solar tracker memerlukan energy kurang dari 0.15% dari total energi yang mampu dihasilkan oleh PV.
Manajemen dan Pemantauan Energi Motor BLDC pada Mobil Listrik Berbasis IoT Pradana, Aditya Ilham; Prasetyono, Eka; Qudsi, Ony Asrarul; Purwanto, Era; Sutedjo, Sutedjo; Nugroho, Syechu Dwitya; Pradigta S.R., Lucky; Septi Y., Diah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) Vol 7, No 4 (2018)
Publisher : Jurusan Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.969 KB) | DOI: 10.22146/jnteti.v7i4.463

Abstract

This paper presents a system design as a management and monitoring of energy consumption in BLDC motors that are applied to electric vehicle. Energy consumption settings are applied using the Pulse Amplitude Modulation principle by adjusting the input voltage on a BLDC motor. This setting uses a DC-DC converter with Buck Converter topology. This converter is designed with a maximum current capability of 20 A and an output voltage that varies from a range of 24 V - 56 V. To ensure the output voltage is always on the set point, the duty cycle of Buck Converter is set using proportional controls. The regulated energy consumption is monitored with modern technology, namely by using low energy components and with the IoT Devices principle. Based on the results obtained, this method can reduce energy consumption up to 36%, as well as monitoring stable energy consumption at reading sensor.
A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Prasetyono, Eka; Sunarno, Epyk; Fuad, Muchamad Chaninul; Anggriawan, Dimas Okky; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 7, No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.883 KB) | DOI: 10.24003/emitter.v7i1.333

Abstract

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLC  voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.
Load Identification Using Harmonic Based on Probabilistic Neural Network Anggriawan, Dimas Okky; Amsyar, Aidin; Prasetyono, Eka; Wahjono, Endro; Sudiharto, Indhana; Tjahjono, Anang
EMITTER International Journal of Engineering Technology Vol 7, No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.473 KB) | DOI: 10.24003/emitter.v7i1.330

Abstract

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
Load Identification Using Harmonic Based on Probabilistic Neural Network Anggriawan, Dimas Okky; Amsyar, Aidin; Prasetyono, Eka; Wahjono, Endro; Sudiharto, Indhana; Tjahjono, Anang
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.473 KB) | DOI: 10.24003/emitter.v7i1.330

Abstract

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Prasetyono, Eka; Sunarno, Epyk; Fuad, Muchamad Chaninul; Anggriawan, Dimas Okky; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.883 KB) | DOI: 10.24003/emitter.v7i1.333

Abstract

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLC  voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.
Prototipe Pendeteksi Titik Gangguan pada Jaringan 20 kV dengan Metode Arus Gangguan Rosydi, Alwi Daffa`; Prasetyono, Eka; Windarko, Novie Ayub
Techné : Jurnal Ilmiah Elektroteknika Vol 18 No 02 (2019)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (596.047 KB) | DOI: 10.31358/techne.v18i02.210

Abstract

PT. PLN (Persero) merupakan Badan Usaha Milik Negara (BUMN) yang bergerak dibidang pembangkitan dan pendistribusian tenaga listrik bagi seluruh masyarakat Indonesia. Pada proses distribusi sering terjadi gangguan hubungan singkat yang diakibatkan banyak faktor diantaranya faktor eksternal atau faktor alam yang berupa ranting pohon maupun hewan. Dari data pada sebuah wilayah Unit Pelaksana Pelayanan Pelanggan (UP3) dalam sebulan gangguan bisa terjadi hingga 70 kali dan memerlukan waktu penanganan 15 menit hingga 1 jam. Karena penanganan masih dengan cara mengukur impedansi sepanjang jaringan yang dimana sebuah penyulang bisa memiliki panjang hingga 50 kms. Oleh karena itu dibutuhkan alat yang dapat mendekteksi titik gangguan serta jenis gangguan yang terjadi pada jaringan. Untuk merealisasikan alat tersebut diperlukan prototype jaringan tegangan menengah yang dapat mensimulasikan gangguan hubung singkat satu fasa ke tanah, dan antar fasa. Prototype ini menggunakan mikrokontroler yang akan difungsikan sebagai relay over current dan saat ada gangguan hubung singkat mikrokontroler juga akan langsung melakukan perhitungan lokasi gangguan dari relay yang trip berdasarkan besar arus gangguan yang dideteksi oleh relay. Pada alat ini terdapat LCD yang digunakan untuk menampilkan besar arus gangguan serta jenis gangguan yang terjadi dan diharapkan dapat mempermudah serta mempercepat petugas untuk melakukan penormalan kembali pada jaringan yang mengalami gangguan.