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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) Jurnal Teknik Elektro Majalah Ilmiah Teknologi Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknik Elektro Jurnal technoscientia Sinergi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Otomasi Kontrol dan Instrumentasi SENTIA 2015 Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Vocatech : Vocational Education and Technology Journal Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Abdi Insani MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Teknik Industri Terintegrasi (JUTIN) Bulletin of Computer Science and Electrical Engineering (BCSEE) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Bakti Nusa Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Rekayasa elektrika JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Jurnal Solusi Masyarakat Dikara Majalah Ilmiah Teknologi Elektro
I Made Ari Nrartha
University Of Mataram
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Journal : International Journal of Electrical and Computer Engineering

 1 
Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability Agung Budi Muljono; I. M. Ginarsa; I. M. A. Nrartha; A. Dharma
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1172.703 KB) | DOI: 10.11591/ijece.v8i1.pp76-86

Abstract

Intelligent control included ANFIS and type-2 fuzzy (T2FLS) controllers grown-up rapidly and these controllers are applied successfully in power system control. Meanwhile, small signal stability problem appear in a large-scale power system (LSPS) due to load fluctuation. If this problem persists, and can not be solved, it will develop blackout on the LSPS. How to improve the LSPS stability due to load fluctuation is done in this research by coordinating of PSS based on ANFIS and T2FLS. The ANFIS parameters are obtained automatically by training process. Meanwhile, the T2FLS parameters are determined based on the knowledge that obtained from the ANFIS parameters. Input membership function (MF) of the ANFIS is 5 Gaussian MFs. On the other hand, input MF of the T2FLS is 3 Gaussian MFs. Results show that the T2FLS-PSS is able to maintain the stability by decreasing peak overshoot for rotor speed and angle. The T2FLS-PSS makes the settling time is shorter for rotor speed and angle on local mode oscillation as well as on inter-area oscillation than conventional/ ANFIS-PSS. Also, the T2FLS-PSS gives better performance than the other PSS when tested on single disturbance and multiple disturbances.
Control and monitoring of 1 phase generator automatic voltage regulator internet of things Hasibuan, Arnawan; Akbar, Farhan; Meliala, Selamat; Rosdiana, Rosdiana; Putri, Raihan; Nrartha, I Made Ari
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp7158-7168

Abstract

This research focuses on the importance of maintaining generator output voltage stabilization using automatic voltage regulator (AVR), especially in dealing with load impacts and environmental changes. Through the implementation of internet of things (IoT), this system can be controlled and monitored remotely, enabling real-time monitoring without physical presence at the generator location. The main objective of this research is to increase energy efficiency by optimizing generator operation. System development methods include design, prototyping and testing stages. Test results show that the automatic voltage regulator is effective in maintaining a stable output voltage of around 220 V, even though the current varies according to the existing load. The power produced ranges from 23 to 670 W, with a power factor between 0.7 and 1. Despite a slight voltage drop to 217 V, the power factor increases to 0.93. The system uses NodeMCU to send data to Blynk and Google Spreadsheets servers, as well as servo motors and PZEM-004T sensors for control and monitoring. Overall, this research shows that the internet of things-based automatic voltage regulator system is effective in maintaining stability and increasing generator operational efficiency, with the ability to manage voltage, current, power, and power factor efficiently.
Transient response mitigation using type-2 fuzzy controller optimized by grey wolf optimizer in converter high voltage direct current Ginarsa, I Made; Nrartha, I Made Ari; Muljono, Agung Budi; Zebua, Osea
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1274-1286

Abstract

Long high voltage direct current (HVDC) transmission link is commonly used to transmit electrical energy via land or under-sea cable. The long HVDC avoids reactive power losses (RPL) and power stability problems (PSP). On the contrary, the RPL and PSP phenomena occur in long high voltage alternative current-link (HVAC) caused by the high reactive component in the HVAC-link. However, the HVDC produces a high and slow transient current response (TCR) on the high value of the up-ramp rate. Interval type-2 fuzzy (IT2F) control on converter-side HVDC is proposed to mitigate this TCR problem. The IT2F is optimized by grey wolf optimizer (GWO) to adjust input-output IT2F parameters optimally. The performance of IT2F-GWO is assessed by the minimum value of integral time squared error (ITSE), peak overshoot, and settling time of the TCR. The IT2FC-GWO performance is validated by the performance of IT2F control that is optimized by genetic algorithm (IT2F-GA) and proportional integral (PI) controller. Simulation results show that the IT2F-GWO performs better with small ITSE, low peak overshoot, and shorter settling times than competing controllers.
Strategy to reduce transient current of inverter-side on an average value model high voltage direct current using adaptive neuro-fuzzy inference system controller Ginarsa, I Made; Ari Nrartha, I Made; Budi Muljono, Agung; Sultan, Sultan; Nababan, Sabar
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4790-4800

Abstract

Growing-up of high voltage direct current (HVDC) penetration into modern power systems (PS) makes difficulty on the PS operation. The HVDC produces high and slow transient current (TC) at start-time, especially for higher up-ramp rate (Urr>20 pu/s). Its condition makes the HVDC cannot be linked and synchronized into the PS rapidly. A strategy to reduce the TC is proposed by an adaptive network based fuzzy inference system (ANFIS) control on inverter HVDC-link to cope up this problem. The ANFIS control is tuned with the help of conventional control in various train-data by using offline mode. Response of ANFIS scheme is improved by suppressing TC at the values of 3.75% for the both phases (A and C), and 3.95% for phase B, for the Urr=30 pu/s. While the conventional control achieved at 9.1% for the both phases (A and B), and 9.2% for the phase C. The ANFIS control gives shorter settling time (0.553 s) than the conventional control (0.584 s) for all phases. The proposed control is more effective than the conventional control at all the scenario.
Co-Authors A B Muljono A. Dharma Abdulah Zainuddin Abta, Armen Ade Safitra Agung Budi Muljono Agung Budi Muljono Agung Budi Mulyono Agung Budi Mulyono Ahmad Sandi Yayan Saputra Akbar, Farhan Al-Ani, Waleed Khalid Ahmed Alfandi, Ahmad Nova Alfian, Muhammad Rolan Ana Rohana Ananda Ghufran Andi Akbar Hidayat Ari Afrizal Ari Hamzah Arnawan Hasibuan Asran Asran Astianto, Muhammad Helmi Baiq Vivi Alaydia Bella Navissa Bulkis Kanata Deary Pretty Genovani Manafe Desi Widianty Desky, Muhammad Aulia Dhika Aufa Hardinata Dupli, Dupli Duwiyandi Putri Elya Fajar Syahbakti Lukman Fajar Syahbakti Lukman Faris, M Salman Firwan Dani Ginarsa Ginarsa Hadi A, Muh. Saihul Hadinata, Angga Pratama Hamzan, Muhammad Abdulloh Harfani Puidi Harjian, Muhammad Rivaldi Herman Fithra Hutagalung, Rizki Shobirin I Ketut Wiryajati I M. Ginarsa I Made Budi Sukmadana I Made Budi Suksmadana I Made Budi Suksmadana I Made Dwipayana I Made Gina I Made Ginarsa I Made Ginarsa I.M. Ginarsa I.M.B Suksmadana Ida Ayu Mas C. Dewi Ida Ayu Sri Adnyani Ida Bagus Fery Citarsa Ida Bagus Fery Citarsa Ida Rofaida Indra Sasmita Isa, Muzamir Julia Kamilatin Kartika Kartika Karyawan, I Dewa Made Alit Ketut Perdana Putra, I Lalu Arya Sopansyah Logika Suharto Lutfi Wardi M Sayuti M.Kuraish Shihab Made Sutha Yadnya Maharani, Citra Putri Mahendra, Aldi Aryanugraha Misbahuddin, Misbahuddin Misbahul Jannah Muhamad Nudisantana Riswandi Muhammad Daud Muhammad Ulul Azmi Muhammad, Muhammad Mulijono, Agung Budi Muljono Muljono Muljono, A.B Muljono, A.B Muljono, Agung B Nababan, Sabar Nastika Nastika Natsir, Abdul Nugroho, Septian Ilham Nurdin Nurdin Osea Zebua Osea Zebua Putra, I Ketut Perdana Rahman Hidayat Rahmat Andria Raihan Putri Ramadan, Sulfi Wahyudi Rizki Ardiansyah Rizky Almunadiansyah Robi Kurniawan Roid, Fahrian Rosdiana Rosdiana S. M. Al Sasongko Sapto Nisworo Sapto Nisworo Saputra, Ahmad Sandi Yayan Sasmita, Hendra Sasongko, Sudi M. Al. Sasongko, Sudi Mariyanto Al Sasongko, Sudi Mariyato Al Sasongko, Sudi Maryanto Al Selamat Meliala Seniari, Ni Made Siregar, Widyana Verawaty Soedjatmiko - Sopian, Muhamad Sardi Sudi Mariyanto Al Sasongko Sudi Mariyanto Al. Sasongko Suksmadana, I Made Budi sultan Sultan ' Sultan . Sultan . Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sulthon Zamroni Supriono Supriono Supriono Supriono Supriyatna . Supriyatna Supriyatna Taneza, Erlan Taufik Taufik Teti Zubaidah Tohri, M. Wadhiesta, I Komang Krisna Dwipayana Waleed Khalid Ahmed Al-Ani Warindi D Widianty , Desi Wikapti, Ida Ayu Nyoman Iswari Wildan Faisal Harharah Wirindi - Yuliani Astuti Apriani Yuristia, Rana Zahiri, Muhtadi Zainuddin, Abdullah Zulfikarullah Zulfikarullah