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ANALISIS TEGANGAN LEBIH INDUKSI AKIBATMEDAN LISTRIK (E) DAN MEDAN MAGNET (H)PADA DUA BUAH TOWER YANG TERINJEKSI ARUS PETIR Ni Made Seniari; Aan Kurniawan; I Made Ginarsa
DIELEKTRIKA Vol 6 No 2 (2019): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.629 KB) | DOI: 10.29303/dielektrika.v6i2.204

Abstract

Sambaran petir dapat merusak objek yang disambar secara langsung maupun tidak langsung. Disekitar titik sambaran petir terinduksi medan listrik (E), medan magnet (H) dan tegangan induksi (Vind). Pada sebuah studi kasus, terdapat dua buah tower telekomunikasi yang bertempat di jalan Guru Bangkol, Pagesangan Timur, Kota Mataram yang diasumsikan tersambar petir secara langsung. Jarak antara kedua tower adalah 25 m dengan tinggi yang sama yaitu 40 m. Bangunan (objek) yang disambar tidak langsung yaitu salah satu rumah warga disekitar tower tersebut, dengan jarak dari tower 1= 5 m dan dari tower 2= 12 m. Parameter petir yang menyambar kedua tower, disimulasikan sebesar 392, 30, 18 kA dan 200, 100, 25 kHz. Simulasi menunjukkan bahwa dengan injeksi arus 18 kA dan frekuensi petir 200 kHz pada kedua tower, maka yang dirasakan objek dari tower 1 dan tower 2, masing-masing adalah medan listrik (E) = 358,119 dan144,489 kV/m, medan magnet (H)= 142,235 dan 57,386 A/m, dan tegangan induksi (Vind)= 5.391,454 dan 3.657,047 kV. Hasil simulasi dibandingkan dengan standar ICNIRP, dan IEC. Nilai medan listrik (E) dan tegangan induksi (Vind) berada diatas ambang batas yang diizinkan, sedangkan nilai medan magnet (H) masih berada dibawah ambang batas yang diizinkan.
Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan Stabilitas Mesin Tunggal I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha; Osea Zebua
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1.311 KB) | DOI: 10.17529/jre.v14i1.8464

Abstract

The growth of type-2 fuzzy logic system is penetrating electric power system field, especially on electric power system control sub-field in order to simplify the design of power system stabilizer (PSS). Traditionally, the function of conventional PSS is to damp rotor oscillation when a disturbance occurred due to transmission configuration or/and loading changes. However, the response of conventional PSS is slow with long settling time and high peak overshoot. To cover this problem, PSS based on type-2 fuzzy logic system (PFT2) is proposed. Simulation results show that the PFT2 is able to improve the stability of a single machine with 3 scenarios on transmission configuration and loading variation. The PFT2 gives shorter settling time for all scenarios and loading variation than the settling time of conventional PSS. Also, the peak overshoot of the PFT2 is smaller than the peak overshoot of the other competing PSS.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.647 KB) | DOI: 10.25077/jnte.v6n2.414.2017

Abstract

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 minimizationAbstrak—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.
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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.185 KB) | DOI: 10.25077/jnte.v4n1.138.2015

Abstract

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 Lampung’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.
CHAOTIC OSCILLATIONOFA THREE-BUS POWER SYSTEM MODEL USING ELMANNEURAL NETWORK I Made Ginarsa; Adi Soeprijanto; Mauridhi Hery Purnomo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 4, No. 2 Agustus 2013
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.365 KB)

Abstract

Paper ini meneliti dan membahas secara mendalam mengenai osilasi chaotic pada sistem tenaga listrik.Dengan menggunakan sebuah three-bus pada sistem tenaga listrik, rute mungkin menyebabkan unjuk kerja chaotic sehingga dievaluasi, digambarkan serta dibahas dalam penelitian ini. Osilasi chaotic ini dimodelkan menggunakan Elmanneural network karena bentuknya yang sederhana dan juga melibatkan algoritmabackpropagation dengan adaptive learning rate dan momentumnya.Unjuk kerja learning rate dan momentumnya lebih baik dibandingkan jika tanpa momentumnya. Unjuk kerja chaotic dalam sistem tenaga listrik muncul karena sistem ini dioperasikan dalam mode critical. Unjuk kerja chaotic ini terdeteksi dengan munculnya sebuahchaotic attractordalam phase-plane trajectory.
Persepsi Konsumen Terhadap Daging Ayam Berkualitas Tinggi I Wayan Ginarsa
SOCA: Jurnal Sosial Ekonomi Pertanian Vol. 10, No. 2 Juli 2010
Publisher : Program Studi Agribisnis, Fakultas Pertanian, Universitas Udayana Jalan PB.Sudirman Denpasar, Bali, Indonesia. Telp: (0361) 223544 Email: soca@unud.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6917.524 KB)

Abstract

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STUDI POLA OPERASI DAN KONSUMSI ENERGI POMPA KOLAM RENANG DI HOTEL RAMADA CAMAKILA DAN RAMADA BINTANG I Gede Ginarsa; I N. Satya kumara; A. Ibi Weking
Jurnal SPEKTRUM Vol 5 No 1 (2018): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.777 KB) | DOI: 10.24843/SPEKTRUM.2018.v05.i01.p14

Abstract

The Ramada Bintang and Ramada Camakila hotels have pools of nearly equal water, but these two pools have different pumping and pumping systems. Ramada Bintang uses two pumps 5 Pk works 12 hours while Ramada Camakila uses two pumps 1.5 Pk work 24 hours, the condition of both pools have the same clarity and water quality. In this study, electrical energy measurements were performed on each pump and calculated chlorine, ph and number of people taking bath in each swimming pool. The average electricity consumption per day on the Ramada Bintang hotel pumping system is Rp. 106,080 while Ramada Camakila Rp. 74,640, so the difference in electricity consumption for a year in both hotels is Rp. 10,579. 068 with the same water quality ratio.
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.
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

Abstract

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%.