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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi 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

I Made Ginarsa

University Of Mataram

Author-ID : 269490

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Penyelesaian Masalah Economic Dispatch Menggunakan Equilibrium Optimizer Zebua, Osea; Ginarsa, I Made; Ari Nrartha, I Made
Jurnal Teknik Elektro Vol 13, No 1 (2021): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v13i1.28698

This paper presents a metaheuristic method, namely Equilibrium Optimizer (EO) to solve the economic dispatch (ED) problem. The main objective function to be achieved is to minimize the total fuel costs of all generating units to meet the total load demand and to satisfy various operating constraints. Three case studies are used to test the effectiveness of the EO method in solving ED problems, they are three generators case, six generators case, and fifteen generators case. The simulation of solving ED problems using the EO method is implemented using MATLAB software and is carried out 30 times for each case study. The results of EO method are compared with Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) methods. The simulation results show that the EO method can solve the ED problem more optimal than all other comparison methods for all the case studies by producing the minimum total fuel costs.

Perkiraan Kestabilan Tegangan Secara Dinamis Menggunakan Eksponen Lyapunov Maksimum Triyatno, M. Widi; Zebua, Osea; Ginarsa, I Made
JURNAL NASIONAL TEKNIK ELEKTRO Vol 4, No 1: Maret 2015
Publisher : Jurusan Teknik Elektro Universitas Andalas

Disturbances in the operation of the power system may cause disturbance in voltage stability. Therefore, dynamic voltage stability analysis before and after disturbance needs to be performed. This paper proposes dynamic voltage stability prediction using maximum Lyapunov exponent with Lampungâ€™s electrical system as case study. Voltage stability simulation is performed with various types of disturbances that occur at line between of Baturaja substation and Bukit Kemuning substation. Time-series data of voltage measurement of simulation results at GI Baturaja is applied for voltage stability prediction analysis using maximum Lyapunov exponent. With the same number of data samples and the same time for circuit breakers to interrupt disturbances, the simulation results using maximum Lyapunov exponent show that the voltage can be stabilized at 1.7 seconds after the occurrence of the three-phase disturbance, at 1.2 seconds after the occurrence of the phase-to-ground disturbance, at 0,9 second after the occurrence of the disturbance between phase, at 1.2 seconds after the occurrence of the loss of line disturbance and 1.4 seconds after the occurrence of the loss of load disturbance. The amount of data samples used in analysis affect the time for the voltage reaches stability.

Optimal Reactive Power Dispatch untuk Meminimisasi Rugi-Rugi Daya Aktif pada Sistem Lampung Menggunakan Metode Grey-Wolf Optimizer (GWO) Zebua, Osea; Ginarsa, I Made
JURNAL NASIONAL TEKNIK ELEKTRO Vol 6, No 2: Juli 2017
Publisher : Jurusan Teknik Elektro Universitas Andalas

Optimal reactive power dispatch has a purpose to achieve secure and economic operation of power system by regulating reactive power allocation in electric power system, such as regulating generators voltage, capacity of shunt capacitors and tap position of transformers. The optimal reactive power dispatch is complex combinatorial optimization problem and more easily solved by using artificial intelligence-based methods. This paper presents the solving of optimal reactive power dispatch problem to minimize active power loss using grey-wolf optimizer method with Lampung electrical power system as a case study. Matpower 5.1 software is used to calculate power flow and active power losses. The simulation is performed by regulating the voltage on each bus or substation connected to the generator with the limit of 0.95 pu to 1.05 pu, adjusting tap position of transformer on Gumawang and Seputih Banyak substations with a limit of 0.95 pu to 1,025 pu and regulating the capacity of shunt capacitors in Natar, Sutami and Kalianda substations with a limit of 0 to 25 MVAR. The simulation results show that the gre-wolf optimizer method can reduce the total active power losses from 18.97 MW to 18.2377MW.Keywords : optimal reactive power dispatch, grey-wolf optimizer, loss minimizationAbstrakâ€”Optimal reactive power dispatch bertujuan untuk memperoleh operasi yang aman dan ekonomis dari sistem tenaga listrik dengan mengatur alokasi daya reaktif pada sistem tenaga listrik, antara lain dengan mengatur tegangan generator, kapasitas kapasitor paralel dan posisi tap transformator. Optimal reactive power dispatch adalah masalah optimisasi kombinasi yang kompleks dan lebih mudah diselesaikan dengan menggunakan metode-metode berbasis kecerdasan buatan. Makalah ini menyajikan penyelesaian masalah optimal reactive power dispatch untuk meminimisasi rugi-rugi daya aktif menggunakan metode grey-wolf optimizer dengan sistem kelistrikan Lampung sebagai studi kasus. Perangkat lunak Matpower 5.1 digunakan untuk menghitung aliran daya dan rugi-rugi daya aktif. Simulasi dilakukan dengan mengatur tegangan pada setiap bus atau gardu induk yang terhubung dengan generator dengan batas 0,95 pu sampai 1,05 pu, mengatur posisi tap transformator pada gardu induk Gumawang dan Seputih Banyak dengan batas 0,95 pu sampai 1,025 pu dan mengatur nilai kapasitas kapasitor pada gardu induk Natar, Sutami dan Kalianda dengan batas 0 sampai 25 MVAR. Hasil simulasi menunjukkan bahwa metode grey-wolf optimizer dapat mengurangi rugi-rugi daya aktif dari 18,97 MW menjadi 18,2377MW.Kata Kunci : optimal reactive power dispatch, grey-wolf optimizer, minimisasi rugi-rugi.

Rekonfigurasi Jaringan Distribusi untuk Meminimisasi Rugi-Rugi pada Penyulang Kabut di Gardu Induk Teluk Betung Menggunakan Metode Binary Particle Swarm Optimization (BPSO) Zebua, Osea; Ginarsa, I Made
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5, No 1: Maret 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Distribution network reconfiguration is needed to minimize losses, especially in densely populated areas. Various reconfiguration methods and techniques have been proposed for the purpose of minimizing power losses. This paper presents a reconfiguration of the distribution network using the binary particle swarm optimization (BPSO) with a case study in Kabut feeder at the Teluk Betung substation. Reconfiguration is performed only by creating new lines without changing the number of lines. The results showed that with the planned four new lines, BPSO method can find new configuration to further minimizes losses. Active power losses resulting from the new configuration is 47.1043 kW or decreased by 1.81% of active power losses before the reconfiguration, i.e. 47.9477 kW. Voltage profile on each bus is better than those of before reconfiguration, where the minimum voltage obtained is 0.98603 per unit compared with a minimum voltage of 0.98597 per unit prior to reconfiguration. However, the selection of the best initial position of the whole of particle swarms outside loop configuration formed by new lines may cause a failure to find the best configuration.Keywords : Reconfiguration, distribution network, loss minimization, BPSO, feederAbstrakâ€”Rekonfigurasi jaringan distribusi sangat diperlukan untuk mengurangi rugi-rugi khususnya pada daerah yang berpenduduk padat. Berbagai metode dan teknik rekonfigurasi telah diusulkan untuk tujuan meminimalkan rugi-rugi daya. Makalah ini menyajikan rekonfigurasi jaringan distribusi dengan menggunakan metode binary particle swarm optimization (BPSO) dengan studi kasus penyulang Kabut di gardu induk Teluk Betung. Rekonfigurasi dilakukan hanya dengan membuat saluran baru tanpa merubah jumlah saluran. Hasil penelitian menunjukkan bahwa dengan merencanakan empat saluran baru, metode BPSO dapat menemukan konfigurasi baru yang lebih meminimalkan rugi-rugi. Rugi-rugi daya aktif yang dihasilkan dari konfigurasi baru sebesar 47,1043 kW atau berkurang sebesar 1,81% dari rugi-rugi daya aktif sebelum rekonfigurasi, yakni 47,9477 kW. Profil tegangan pada setiap bus juga lebih baik dari tegangan sebelum rekonfigurasi, dimana tegangan minimum yang diperoleh adalah sebesar 0,98603 per unit dibandingkan dengan tegangan minimum 0,98597 per unit sebelum rekonfigurasi. Namun pemilihan posisi awal terbaik dari seluruh kumpulan partikel di luar lup konfigurasi yang dibentuk oleh saluran baru dapat menyebabkan kegagalan untuk menemukan konfigurasi terbaik.Kata Kunci : Rekonfigurasi, jaringan distribusi, minimisasi rugi-rugi, BPSO, penyulang

Pelatihan Arduino Untuk Pembuatan Alat Ukur Suhu Tubuh Non Kontak Berbasis Android Pada Siswa SMA Sudi Mariyanto Al Sasongko; Sultan; I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha
Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 1 (2022): Januari - Maret
Publisher : Universitas Mataram

SMAN 3 Mataram has a vision of forming human resources who are honest, trustworthy, and smart. One of the missions is to improve the ability in science, technology and skills. During the COVID-19 pandemic, healthy and clean living behavior is required according to the protocol by keeping a distance and avoiding crowds. To encourage skill and creative students, the PKM Team carries out Arduino training to measure non-contact body temperature. Arduino training modules are made easy to disassemble and can be monitored by Android phones via Bluetooth, with the MIT APP Inventor 2 program interface. The MLX90614 sensor can be used as a body temperature measurement via wireless during the Covid-19 pandemic. The training was carried out by means of presentations on the basic principles of Arduino and the introduction of analog sensors to measure body temperature. In order to be effective and efficient, the presentation of hardware circuits is directly practiced and supervised by electrical students. Competent lecturers provide training on making android programs, case studies of body temperature sensors. This PKM activity was attended by 23 students who were divided into 4 groups to match the number of modules. Based on the results of the evaluation of the pretest and posttest, there was an increase in knowledge of 34.5% from the pretest average of 51.2 to the posttest average of 78.2. A total of 13 students (56.6%) had additional motivation to find out more about the Arduino application.

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

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.

Transient response improvement of direct current using supplementary control based on ANFIS for rectifier in HVDC I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha; Sultan Sultan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v11.i4.pp2107-2115

Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power delivery. This scheme is done by adjusting trigger angle to regulate direct current (DC) in thyristor devices. The adaptive neuro-fuzzy inference system (ANFIS) control is widely applied for start and fault operation. But, solution for transient response of DC current in HVDC system is not clearly studied before. In this paper, supplementary control (SC) based on ANFIS is proposed to improve the transient response of the current. The SC control is designed by learning-processes and SC parameters are obtained by data-training automatically. For current reference at 1.05 pu and up-ramp at 20 pu/s, maximum overshoot is achieved at 5.12% and 7.72% for the SC and proportional integral controller (PIC), respectively. When the up-ramp is increased to 28 pu/s, the maximum overshoot is achieved at 10.01% for the SC. While, the peak overshoot for the PIC is 14.28%.

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

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

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

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.

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 Bagus Widhi Dharma S. Budi Darmawan Bulkis Kanata Desi Widianty DHARMA S, BAGUS WIDHI Eduarsa, Made Octa Faris, M Salman Firmansah, Danu Hadi A, Muh. Saihul Hamdi, Haidar Harjian, Muhammad Rivaldi 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 Mahdi, Muh. Sultanul Mahendra, Aldi Aryanugraha Mauridhi Hery Purnomo 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 S, Bagus Widhi Dharma 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 Tohri, M. Triyatno, M. Widi Warindi D Widianty , Desi Zainuddin, Abdullah Zebua, Osea

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