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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
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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 3: September 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v11i3.948

Abstract

Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC) was proposed to solve these problems. The PID is used to control chaos and voltage collapse. Meanwhile, an SVC LRN-based is used to maintan the load voltage. By using the proposed controller, chaos and voltage collapse are able to suppress and maintain the load voltage around the setting value. When the maximum load isforced to load bus, the reactive power supplied by SVC, SVC additional voltage and load voltage are at the values of j0.1127, 4.0095´10-3 and 0.980010 pu, respectively. Furthemore, the proposed controller gives better response than PI-SVC controller. 
GWO-based estimation of input-output parameters of thermal power plants Osea Zebua; I Made Ginarsa; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.12957

Abstract

The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the curve parameters estimation strongly affected the calculation of the dispatch. This paper aims to estimate the fuel cost curve parameters by using the grey wolf optimizer method. The problem of curve parameter estimation was made as an optimization problem. The objective function to be minimized was the total number of absolute error or the difference between the actual value and the estimated value of the fuel cost function. The estimated values of parameter that produce the smallest total absolute error were the values of final solution. The simulation results showed that parameter estimation using gray wolf optimizer method further minimized the value of objective function. By using three models of fuel cost curve and given test data, parameter estimation using grey wolf optimizer method produced the better estimation results than those estimation results obtained using least square error, particle swarm optimization, genetic algorithm, artificial bee colony and cuckoo search methods.
Dynamic Stability Improvement of Multimachine Power Systems using ANFIS-based Power System Stabilizer Agung Budi Muljono; I Made Ginarsa; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2049

Abstract

Modern power system are very vurnerable to against load fluctuation during their operation. Load fluctuation identified as small disturbance is important to test dynamic (small signal) stability. This research is focused on improvement of multimachine dynamic stability by using ANFIS-based power system stabilizer (proposed PSS). ANFIS method is proposed because the ANFIS computation is more efective than Mamdani fuzzy computation. Simulation results show that the proposed PSS is able to maintain the dynamic stability by decreasing peak overshoot (Po) to the value -3,37´10-5 pu/pu and accelerating settling time (St) to the time 4.01 s for rotor speed deviation Machine-2. Also, the Po is decreased to the value -3,37´10-5 pu/pu and the St is accelerated to the time 3.98 s for rotor speed deviation Machine-3.
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