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All Journal Jurnal Teknik Elektro Jurnal Teknologi dan Manajemen Informatika e-Jurnal Arus Elektro Indonesia ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JTT (Jurnal Teknologi Terpadu) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INTEK: Jurnal Penelitian Budimas : Jurnal Pengabdian Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Rekayasa elektrika Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Mein: Journal of Mechanical, Electrical & Industrial Technology Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Epyk Sunarno
Politeknik Elektronika Negeri Surabaya
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Real-Time Detection of Power Quality Disturbance Using Fast Fourier Transform and Adaptive Neuro-Fuzzy Inference System Syahrin, Ahmad Alvi; Anggriawan, Dimas Okky; Prasetyono, Eka; Sunarno, Epyk; Wahjono, Endro; Sudiharto, Indhana; Suhariningsih, Suhariningsih
Jurnal Rekayasa Elektrika Vol 20, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i1.33695

Abstract

Power quality disturbances cause equipment damage or financial losses. Therefore, the electric power system needs to identify and distinguish any power quality disturbances to reduce problems. This paper proposes hybrid methods combining FFT and ANFIS algorithm for detection of power quality disturbances. There are 11 types of power quality disturbances that can be detected, such as sag, swell, undervoltage, overvoltage, voltage flicker, voltage harmonic, sag + harmonic, swell + harmonic, undervoltage + harmonic, overvoltage + harmonic, and flicker + harmonic. The parameters used to detect disturbances are Vrms, Duration, THDv (Total Harmonic Distortion voltage), and Fluctuation-Count. The detection process starts by sensing voltage and calculating all the parameters, where THDv was obtained by Fast Fourier Transform. All the parameters such as Vrms, Duration, THDv, and Fluctuation-Count are processed by Adaptive Neuro-Fuzzy Inference System, and the result is the type of disturbance. Matlab simulations show that the suggested method performs outstandingly to identify 11 type of Power Quality Disturbances with 99.3% accuracy.
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.
Co-Authors Ahmad Firyal Adila Ananda Ismul Azam Anggara Trisna Nugraha Aqidah Ahya Nurlaily Armadilla Sukma Pratiwi Arman Jaya Azizah Istiqomah Yustikasari BAYHAQI, KHAFIDZ Brilianti Qori' Avrila Diah Septi Yanaratri Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono, Endro Farid Dwi Murdianto Ferdiansyah, Indra Fuad, Muchamad Chaninul Fuad, Muchamad Chaninul Gigih Prabowo Habibi, Muhammad Nizar Hendik Eko H Suharyanto Imam Dui Agusalim Indhana Sudiharto Irianto Irianto Irianto Irianto Luki Septya Mahendra Mahbub Gusti Muhammad Mauridhi Heri Purnomo MOCHAMAD ARI BAGUS NUGROHO Muhammad Fauzi Nizar Habibi, Muhammad Novie Ayub Windarko Nuva Choironi Ersha Proboningtyas, Dewinta Dwi Putu Agus Mahadi Putra Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Rama Arya Sobhita Rifadil, Mochammad Machmud Rusli, Muhammad Rizani Safah Tasya Aprilyani SALSABILA, MUTIARA NADHIFAH Soebagio Soebagio Suhariningsih Suhariningsih Suhariningsih Syahrin, Ahmad Alvi Syechu Dwitya Nugraha Yahya Chusna Arif Yolanita, Dian YULIANDA, FRIKO Zaenal Efendi, Mohammad