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Improving Performance Stability of Power System Java-Bali Interconnection with PIDPSS3B and PIDSVC Controllers Ida Bagus Gede Manuaba; Putu Arya Mertasana; Made Mataram; Cok Gede Indra Partha
Journal of Electrical, Electronics and Informatics Vol 1 No 1 (2017): JEEI (February 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i01.p04

Abstract

Modern electric power system that many its dynamic equipment continuously vulnerable to internal and external disturbances. On the condition of the disorder, it often happen oscillation in each part or between parts of the electrical system is interconnected. These oscillations become a major problem for the stability of the power system. Modern electrical control systems require a sustainable balance between power generation and demand varying loads. Power System Stabilizer and Static Var Compensator is a control device that is used to dampen low frequency oscillations and to provide additional feedback signal to stabilize the system. To increase the damping, system equipped with PSS generator that provides additional feedback to stabilize the signal in the excitation system. It is generally that the machine parameters changed by the load, so the dynamic behavior of the different machines at different operating conditions. Design PIDPSS3B power system stabilizer and PIDSVC controller used aim to get performance and optimum damping. Design and optimization of the proposed has the ability to optimally dampen and suppress errors are minimal.
Data warehouse Implementation on Denpasar City Online Community Complaints System I Putu Ari Putra Wijaya; Wahyudin Wahyudin; Made Mataram
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Department of Communications and Informatics, appointed as Executor of Handling Complaint Society in Denpasar City. Over time and more complex data complaints that come in so complicate the data analysis, to overcome the data it is necessary implementation of data warehouse. The method used is Snowflake Schema, this method is chosen because this method is the development of star schema where each dimension table can have sub-table dimension. It aims to minimize data overload. From the results of the implementation in get the conclusion that by implementing data warehouse can facilitate the user in view report in accordance with the desired from summary to detail.
PERANCANGAN DAN PEMBUATAN TETARING BALE GONG DENGAN BAHAN KUAT DAN SENI N. Gunantara; G.M.A. Sasmita; N.K.A. Dwijendra; I.M. Mataram; I.K.G. Harsana
Buletin Udayana Mengabdi Vol 21 No 2 (2022): Buletin Udayana Mengabdi
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.669 KB) | DOI: 10.24843/BUM.2022.v21.i02.p10

Abstract

Bale Gong is a very important building in the temple. This is because every ceremony at the temple is accompanied by a gamelan gong. In every piodalan ceremony at Sindetan Temple always make a tent for the Bale Gong. Tents that are installed are usually made of materials that are easily damaged, namely bamboo, coconut leaves, and tie rope. In making these tents, it takes a lot of people who have expertise and cost of making the tent is quite expensive. After completing the ceremony, the tent is dismantled where the materials cannot be reused at the next piodalan ceremony. This is because these materials will break down quickly. The solution to this problem and at the same time is the goal of this service is in the form of innovation in making tents from strong and durable materials. The materials that will be used are iron and cloth. This iron is used instead of bamboo and cloth is used instead of slepan and tie rope. The final result of this service is has designed and made tent that are strong, aesthetic, comfortable, and easy to assemble and disassemble. The tents that have been made are installed in Bale Gong and then handed over to the residents of Sindetan Temple. Keywords: Bale Gong, Sindetan Temple, tent, design, strong, aesthetic.
Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine I Made Mataram; I Ketut Wijaya
Journal of Electrical, Electronics and Informatics Vol 6 No 1 (2022): JEEI (December 2022)
Publisher : Institute for Research and Community Services Udayana University

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Abstract

Liquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environment. Liquid waste treatment mostly utilizes aerators to produce high pressure air in liquid waste containing oxygen (O2). The problem that occurs in most wastewater treatment is the determination of the working time of the aerator, resulting in excessive use of electrical energy, but the results of the waste are still within unsafe limits. In general, the operating time of the aerator is manually, this causes the use of electrical energy to be wasteful. This research was conducted, how to develop a control system design for aerator operating time on the quality of liquid waste. The development of the control system used is Sugeno interval fuzzy logic type-2 with 2 (two) input types of Gauss membership function. The advantage of interval fuzzy logic type-2 over type-1 fuzzy logic is the ability to provide more accurate output for higher input uncertainty. The input variables used are waste volume and COD reduction, while the output is the aerator's operating time. The results obtained in the system design can be applied properly and in accordance with the setting point with an average aerator operating time of 6.8 hours and can reduce the use of electrical energy by 38.2%.
ANALISIS RE-SETTING DISTANCE RELAY MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK PADA SALURAN TRANSMISI SISTEM 150 KV GARDU INDUK BANGIL – GARDU INDUK PIER Adi Prasetyo, Wibisono; Karim Mewal, Karel A; Sianturi, Roni; Mataram, I Made; Indra Partha, Cok. Gede
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p28

Abstract

The results of conducting impedance measurements at the Bangil - PIER Substation using the Omicron CPC100 tool show the difference in the results with the factory specification impedance value which exceeds the tolerance limit of 5% of the test results. Re-setting the distance relay is needed so that the relay is able to properly secure the transmission line. In this study, the Artificial Neural Network model was used to re-setting the distance relay. Re-setting was carried out using Analysis Software Based on Modeling and Visualization showed that the relay worked very well in responding to disturbances without overlapping it ranges. The results of calculation using ANN showing a very high level of accuracy of 99.88% and an error rate of 0.00113. Other data analysis indicators used produce the following values: MSE = 0,00002, RMSE = 0,0047 , MAD = 0,00361 , and MAPE = 0,163% which indicates that the Neural Network model that has been made is feasible to use.
KONTROL FREKUENSI BEBAN MENGGUNAKAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) PADA SISTEM HYBRID WIND MIKROHIDRO DAN DIESEL Febryanto Simorangkir, Walter Willy Metyu; Mataram, I Made; Wijaya, I Ketut
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p38

Abstract

This study aims to analyze and compare the performance of three frequency load controller methods in a hybrid generator consisting of three types of energy generation, namely microhydro, diesel and wind. The controller methods being compared are the PID (Proportional Integral Derivative) method, ANFIS (Adaptive Neuro-Fuzzy Inference System), and Fuzzy. This analysis was carried out to improve the efficiency and stability of the hybrid generating system by optimizing the frequency load controller. Frequency instability can occur due to load fluctuations, changes in environmental conditions, or system disturbances. Therefore, the use of an effective and adaptive controller method is very important in maintaining the stability and reliability of the hybrid generator system. The analytical method used in this study involved data collection and computer modeling. The required data includes information on load variations, energy production, and environmental conditions. Furthermore, the PID, ANFIS, and Fuzzy methods are applied to the data to build a frequency load controller model. The results of the analysis show that the three controller methods have different performance in maintaining frequency stability in the hybrid generator system. The PID method provides a fast and accurate response to load fluctuations, but is less adaptive to environmental changes. While the ANFIS method is able to adapt well to changes in system conditions, it requires time for model training. Fuzzy methods can provide control that is more adaptive and tolerant to disturbances, but may require more complex tuning. However, in general, the use of intelligent controller methods such as ANFIS and Fuzzy can improve the performance of hybrid generators by producing more adaptive and stable controls. This research has important implications for the development of more efficient and reliable hybrid power systems. By choosing the right controller method, hybrid power plants can provide energy in a more stable and environmentally friendly manner, and reduce dependence on limited fossil resources. Therefore, this research can make a significant contribution to the development of renewable energy and sustainable development in the future.
PERAMALAN BEBAN HARI LIBUR MENGGUNAKAN ARTIFICIAL NEURAL NETWORK I Made Mataram
Jurnal Teknologi Elektro Vol 7 No 2 (2008): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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Abstract

Karakteristik beban harian saat hari libur berbeda dengan hari biasa, serba tidak pasti dan cenderung mengalami penurunan. Ketidakpastian beban ini, jika tidak diperkirakan, akan sangat mempengaruhi operasi unit-unit pembangkit yang ada. Penjadwalan operasi dan alokasi pembangkit cadangan dapat mengganggu keandalan sistem tenaga listrik. Pada peramalan beban harian untuk hari-hari libur umat hindu di Bali yang kondisinya tidak tentu, sulit dilakukan oleh metode peramalan konvensional. Pada penelitian ini diusulkan peramalan dengan metode artificial neural network. Kelebihan metode ini dapat dengan mudah memformulasikan pengalaman dan pengetahuan peramal dan sangat fleksibel dalam perubahan aturan peramalan. Hasil peramalan memperlihatkan error rata-rata sangat kecil, yaitu dibawah 1 %
STUDI ANALISIS GOVERNOR SEBAGAI LOAD FREQUENCY CONTROL PADA PLTG MENGGUNAKAN FUZZY LOGIC CONTROLLER Gusti Made Ngurah Christy Aryanata; I Nengah Suweden; I Made Mataram
Jurnal Teknologi Elektro Vol 17 No 1 (2018): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2018.v17i01.P15

Abstract

Sistem tenaga listrik yang baik merupakan suatu sistem yang dapat melayani beban secara berkelanjutan serta tegangan dan frekuensinya stabil. Perubahan frekuensi terjadi disebabkan oleh permintaan beban yang berubah-ubah dari waktu ke waktu. Pengaturan frekuensi pada sistem pambangkit PLTG tergantung pada pengisisan daya aktif dalam sistem. Pengaturan daya aktif ini dilakukan dengan mengatur besarnya kopel penggerak generator. Pengaturan frekuensi dilakukan dengan menambah dan mengurangi jumlah energi primer (bahan bakar) dan dilakukan pada governor. Simulasi dalam studi analisis governor sebagai load frequency control pada PLTG menggunakan fuzzy logic controller dilakukan dengan memberikan empat jenis pembebaban yaitu sebesar 0,1 pu, 0,2pu, 0,3 pu dan 0,4 pu. Simulasi dilakukan untuk membandingkan output respon frekuensi dinamik dan waktu kestabilan yang dihasilkan menggunakan fuzzy logic controller dengan PI controller. Berdasarkan hasil analisis perbandingan yang dilakukan membuktikan bahwa governor sebagai load frequency control menggunakan fuzzy logic control lebih baik dibandingkan dengan menggunakan PI kontroller. Hal ini dapat dilihat dari output respon frekuensi dan waktu kestabilannya.
Identifikasi Jenis Gangguan pada Jaringan Transmisi Menggunakan Metode Jaring Syaraf Tiruan I Made Widiarsana; I Made Mataram; Yanu Prapto Sudarmojo
Jurnal Teknologi Elektro Vol 17 No 1 (2018): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2018.v17i01.P01

Abstract

Pada jaringan transmisi sering terjadi berbagai macam jenis gangguan, antara lain gangguan hubung singkat satu phasa ke tanah, gangguan hubung singkat phasa ke phasa, gangguan antar phasa ke tanah dan gangguan simetris. Pendeteksian terhadap gangguan tersebut dapat dilakukan dengan metode jaring syaraf tiruan. Jaring syaraf tiruan terdiri dari sejumlah elemen penghitung tak linier yang masing-masing dihubungkan secara paralel melalui suatu pembobot. Proses training pada jaring syaraf tiruan ini terdiri dari proses pelatihan terhadap gangguan hubung singkat satu phasa ke tanah, gangguan hubung singkat phasa dengan phasa, gangguan hubung singkat antar phasa dengan tanah, dan gangguan simetris. Proses pelatihan pada jaringan transmisi ini menggunakan konfigurasi 6 data intput, 10 hidden layer, 6 data target, dan 6 output (6-10-6-6). Hasil pelatihan menunjukkan bahwa nilai arus dan tegangan gangguan untuk semua jenis gangguan pada jaringan transmisi berhasil di bangkitkan, dimana output berupa nilai tegangan dan arus dari proses pelatihan akan disimpan dan dijadikan sebagai refrensi untuk menentukan jenis gangguan hubung singkat yang terjadi pada jaringan transmisi. Data hasil simulasi jaringan transmisi dapat dikatakan normal saat mendekati nilai output atau sebaliknya ketika jaringan transmisi mengalami gangguan hubung singkat. [TURNITIN CHECK 75 19042017]
Analisis Stabilitas Sistem Tenaga Listrik Dengan Automatic Generation Control (AGC) Dua Area Menggunakan Fuzzy Logic Controller Made Dwi Noviantara; I Nengah Suweden; I Made Mataram
Jurnal Teknologi Elektro Vol 17 No 2 (2018): (May - Agustus) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2018.v17i02.P15

Abstract

The power system must be able to server the load in a sustainable manner with good service quality, such as constant voltage and frequency, quickly stabilized when load changes occur. The control generator automatically changes the frequency to the highest value when the system changes every time. This is called AGC. To keep the frequency in a stable state required frequency control system. Currently developing a lot of control system with fuzzy logic method. The simulation is performed using 5 membership functions and gives a loading of 0.1 pu, using MATLAB-Simulink software. From the analysis result, the comparison of output of frequency response in overshoot condition with conventional method yielded , settling time of 20.5 second. While the fuzzy logic controller method produces frequency response output in the overshoot state that is , settling time is 12 seconds. Whit the fuzzy logic controller method produces better performance and faster than conventional methods.