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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) SOCA: Jurnal Sosial Ekonomi Pertanian Jurnal SPEKTRUM TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknik Elektro JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Abdi Insani Journal of Classroom Action Research 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 Journal Serambi Engineering (JSE)
I Made Ginarsa
University Of Mataram
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Journal : telkomnika telecommunication computing electronics and control

 1 
Stability Improvement of Single Machine using ANFIS-PSS Based on Feedback-linearization I Made Ginarsa; Osea Zebua
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i2.61

Abstract

Electrical power system (EPS) operation always follows load changes which occur within time. Load changes and disturbances cause EPS operation to find a new balance point and before can reach the new balance point, the rotor speed will swing around its synchronous speed. This phenomenon causes the stability of the EPS operation decrease significantly, moreover, when the disturbance is large the machine tend to become unstable. To overcome this problem, it is necessary to add a power system stabilizer (PSS). This research proposes ANFIS-PSS based on feedback-linearization to stabilize the EPS operation. Feedback-linearization is a nonlinear control technique which feedback and limits several outputs in order to make the nonlinear system acts as a linear system. Data from conventional PSS is used to train and to update ANFIS-PSS parameters. Simulation results show an improvement of the stability of single machine model such as decreasing in maximum magnitude of rotor speed at the value of 0.466 rad/s and to reduce the time settling to 5.6 s.
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. Dharma A. Ibi Weking Aan Kurniawan Abdul Natsir Adha, Farhan Adi Soeprijanto Agung Budi Muljono Agung Budi Mulyono Agung Budi Mulyono Ahmilurrizqi D, M. Alfandi, Ahmad Nova Anugerah, Fitra Arnawan Hasibuan Bagus Widhi Dharma S Bagus Widhi s Budi Darmawan Bulkis Kanata Desi Widianty Eduarsa, Made Octa Faris, M Salman Firmansah, Danu Hadi A, Muh. Saihul Haidar Hamdi Harjian, Muhammad Rivaldi I Ketut Perdana Putra I Ketut Wiryajati I Made Ari Nrartha I Made Ari Nratha I Made Budi Suksmadana I Made Budi Suksmadana I N Satya Kumara I Nyoman Wahyu Satiawan I Wayan Sutrisna I.B. Fery Citarsa Ida Ayu Sri Adnyani Karni, Wais Al Karyawan, I Dewa Made Alit Ketut Perdana Putra, I M. Najmul Fadli M. Widi Triyatno Made Sutha Yadnya Mahendra, Aldi Aryanugraha Mauridhi Hery Purnomo Muh. Sultanul Mahdi Muhamad Tohri Mulijono, Agung Budi Muljono, Agung B Nababan, Sabar Natsir, Abdul Nawi Naufan Nada Ni Luh Sinar Ayu Ratna Dewi Ni Made Seniari Ni Made Seniari NI Made Seniari Ni Made Seniari Nrartha I Made Ari Osea Zebua Osea Zebua Osea Zebua Paniran Paniran Putra, I Ketut Perdana Ramdhani, Zainul Hadi Rangga Akbar Rizal Ermiazis Kesuma Sasongko, Sudi M. Al. Sasongko, Sudi Mariyato Al Sasongko, Sudi Maryanto Al Seniari, Ni Made Sudi Mariyanto Al Sasongko Sudi Mariyato Al Sasongko sultan Sultan . Sultan . Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Supriyatna Supriyatna Supriyatna Supriyatna Tohri, M. Triyatno, M. Widi Warindi D Widianty , Desi Zainuddin, Abdullah Zebua, Osea