p-Index From 2020 - 2025
6.022
P-Index
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Rekayasa elektrika

Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time Endro Wahjono; Dimas Okky Anggriawan; Achmad Luki Satriawan; Aji Akbar Firdaus; Eka Prasetyono; Indhana Sudiharto; Anang Tjahjono; Anang Budikarso
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (869.076 KB) | DOI: 10.17529/jre.v16i1.15093

Abstract

The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.
Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time Endro Wahjono; Dimas Okky Anggriawan; Achmad Luki Satriawan; Aji Akbar Firdaus; Eka Prasetyono; Indhana Sudiharto; Anang Tjahjono; Anang Budikarso
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15093

Abstract

The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.
Co-Authors Achmad Luki Satriawan Adi Soeprijanto Agustin, Eva Inaiyah Alim Prasaja Aly, Muhammad Nilzam Ambarwati, Dewi Anang Budikarso Anang Tjahjono, Anang Andria Kusuma, Vicky Arof, Hamzah Asy'ari, Vaizal Azmita, Mimi Bambang Suharto Bambang Suharto Belgis, Belgis DARMAWAN SETIA BUDI Daud, Muhamad Zalani Dewanto, Muhammad Ridho Dimas Fajar U.P. Dimas Fajar Uman Putra Dimas Okky Anggriawan Dwi Retna Kumalaningrum Eka Prasetyono, Eka Eka Saputra Endro Wahjono Farid, Mifta Nur Fasya, Arif Habib Firillia Filliana Gagas Gayuh Aji, Gagas Gayuh Ginting, Ina Veronica Hadi Suyono Hadi Suyono Hamzah Arof Happy Aprillia Hidayatul Nurohmah Indhana Sudiharto Jenrychk Marcelino Tandi Karrang Kadek Juni Setiawati Kenconojati, Hapsari Kharis Sugiarto Khuria Kirana, Angkita Wasito Kristanto, Damar Kristanto, Damar Kurnia Wijaya Kusuma Li Wang Machrus Ali Mahmud Iwan Solihin Maulana, Muhammad Hilmy Maurisia Putri Permatasari Mifta Nur Farid Mimi Azmita Muhaimin Muhaimin Muhammad Agung Nursyeha Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Nizhom Ramadhani Muhammad Ruswandi Djalal Nabila Salvaningtyas Nasa Zata Dina Novian Patria Uman Putra Novian Uman Putra Nuruddin Nuruddin Nyoman Juniarta, Nyoman Ontoseno Penangsang Pardede, Maria Agustina Prasaja, Alim Prayogo, Prayogo Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Putri, Rahmah Fadiyah Rachman Sinatriya Marjianto Rafdi Syah, Muhammad Abby Rahayu, Ragil Puji Rahmat Yuliawan Rajendran, Parvathy Risty Jayanti Yuniar Sena Sukmananda Suprapto Setiawati, Kadek Juni Sinulingga, Rizky Amalia Sisca Dina Nur Nahdliyah Sri Endah Kinasih Sri Endah Nurhidayati Suciyono, Suciyono Sugiarto, Kharis Suharno, Novianto Edi Suprapto, Sena Sukmananda Susanto, Fajar Annas Teguh Aryo Nugroho Teguh Herlambang Tesa Eranti Putri Trimulya, Hanif Uman Putra, Novian Patria Vicky Andria Kusuma Vicky Andria Kusuma Wilda Imama Sabilla Winarno Winarno Winarno, Winarno Yanuar Mahfudz Safarudin Yuli Prasetyo Yunardi, Riky Tri