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The Nynas Nitro Libra Oil Testing as an Isolator on the 150 kV Transformer Using Colour, Water Content, and Breakdown Voltage Testing Method in Bantul Substation Ardianta, Dimas Septe; Syahputra, Ramadoni; Mustar, Muhamad Yusvin
Journal of Electrical Technology UMY Vol 2, No 1 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2131

Abstract

In the system of electricity power, either thermal or electric failure often takes place. In order to prevent such failure, isolator testing towards the power transformer is needed. A mineral oil Nynas Nitro Libra was used as the research subject, in which it was compared to the other oil types, involving new oil, in-use oil, and used crude oil. The method used was testing throughout the colour, water content, and breakdown voltage. Colour testing was conducted by comparing between used oil and typical oil, whereas water content was conducted by mixing chemical ingredients which were Solvent Xylol and toluene, followed by 100°C heating process within 3 hours and condenser cooling down until the moisture dropped down the trap, finished by 6 times breakdown voltage test through environment temperature. The testing result shows that crude oil indicates D 8,0 (black colour), with moisture content TRACE (0,2%) which is 4 ppm. The value of 6-time breakdown voltage test in the temperature of 22°C indicates: 09.4 KV, 09.1 kV, 09.2 kV, 09.6 kV, 09.5 kV, 12.0 kV with dielectric power 3.92 kV/mm.
Distribution Network Optimization Based on Genetic Algorithm Syahputra, Ramadoni
Journal of Electrical Technology UMY Vol 1, No 1 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1101

Abstract

This paper presents a new robust optimization technique for distribution network configuration, which can be regarded as a modification of the recently developed genetic algorithm. The multi-objective genetic algorithm has been applied to this problem to optimize the total cost while simultaneously minimize the power loss and maximize the voltage profile. The IEEE 69-bus distribution network is used in the tests, and test results have shown that the algorithm can determine the set of optimal nondominated solutions. It allows the utility to obtain the optimal configuration of the network to achieve the best system with the lowest cost.
Prediksi Beban Listrik Menggunakan Algoritma Jaringan Syaraf Tiruan Tipe Propagasi-Balik Syahputra, Ramadoni; Syahfitra, Febrian Dhimas; Putra, Karisma Trinanda; Soesanti, Indah
Semesta Teknika Vol 23, No 2 (2020): NOVEMBER 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v23i2.9940

Abstract

Artikel ini mengusulkan prediksi beban puncak menggunakan metode jaringan syaraf tiruan tipe propagasi-balik. Prediksi beban puncak transformator tenaga merupakan tugas penting dalam mengantisipasi pertumbuhan beban listrik di masa mendatang. Prediksi yang tepat dan akurat akan memfasilitasi perencanaan kapasitas pembangkit listrik yang memadai pada waktu yang tepat. Metode jaringan syaraf tiruan tipe propagasi-balik memiliki akurasi yang baik dalam tugas-tugas prediksi. Pada penelitian ini dilakukan prediksi beban puncak pada dua buah transformator tenaga dengan studi kasus di Gardu Induk Bumiayu, Brebes, Jawa Tengah, Indonesia. Parameter pelatihan adalah data pertumbuhan penduduk, produk domestik regional bruto (PDRB), dan data beban puncak selama sepuluh tahun terakhir. Hasil penelitian menunjukkan bahwa kedua unit transformator tenaga tersebut masih dapat melayani beban listrik di wilayah pelayanan Gardu Induk Bumiayu selama sepuluh tahun ke depan.   This article proposes a peak load prediction using the backpropagation neural network method. Predicting the peak load of power transformers is an important task in anticipating load growth in the future. Precise and accurate predictions will facilitate the planning of sufficient power generation capacity at the right time. The backpropagation type neural network method has good accuracy in the prediction task. In this study, a case study was carried out by predicting the peak load of power transformers at Bumiayu Substation, Brebes, Central Java, Indonesia. Training parameters consists of population growth data, gross regional domestic product (GRDP), and peak load data for the last ten years. The results showed that the two power transformer units could still serve the electricity load in the Bumiayu substation service area for the next ten years.   
Information System Design for Calculating the Reliability of Electricity Distribution System in Pekalongan Substation Based on Android OS Aprilian, Salman Muntaqo; Mujaahid, Faaris; Syahputra, Ramadoni; Putra, Karisma Trinanda; Widyasmoro, Widyasmoro
Journal of Electrical Technology UMY Vol 4, No 2 (2020): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v4i2.11187

Abstract

Reliability of distribution networks is a factor that greatly affects customers as consumers of electricity. Analyzing and calculating the reliability of distribution networks are determined by the reliability index including SAIFI, SAIDI, CAIDI, and ASAI. On the other hand, smartphone technology is growing rapidly with a variety of applications to help simplify and accelerate human work in several fields of work. This paper delivers the design of an Android-phone-based analytic tool for distribution system reliability index measurement by developing it on Android application software. This application is named KALINDA, stands for Kalkulator Indeks Keandalan (Reliability Index Calculator), and created by using Android Studio IDE. We compare the data result between KALINDA calculations and manual calculations. The results obtained from the KALINDA application are declared to be valid accurate.
Modeling of Wind Power Plant with Doubly-Fed Induction Generator Syahputra, Ramadoni; Soesanti, Indah
Journal of Electrical Technology UMY Vol 1, No 3 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1317

Abstract

This paper presents the modeling and simulation of wind turbine driven by doubly-fed induction generator which feeds ac power to the distribution network. A stator flux oriented vector control is used for the variable speed doubly-fed induction generator operation. By controlling the generator excitation current the amplitude of the stator EMF is adjusted equal to the amplitude of the grid voltage. To set the generator frequency equal to the grid one, the turbine pitch angle controller accelerates the turbine/generator until it reaches the synchronous speed. The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using dynamic vector approach for machine model. The system is also simulated when a fault occurs in 25 kV grid of distribution system. The results of a single line to ground fault and a symmetrical three-phase ground fault is analyzed. The results show that the wind energy conversion system can normally operate in fault conditions.
Reliability Analysis of Power Distribution System Ali, Khaidir; Wiyagi, Rama Okta; Syahputra, Ramadoni
Journal of Electrical Technology UMY Vol 1, No 2 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1209

Abstract

Electrical distribution system is a component of electrical power system that is very important because it is closest to the customer. In its operation, the distribution system often suffers that causes the flow of electricity to the customer is interrupted. This situation is not expected by customers or by electric power companies. The more frequent and longer the occurrence of electrical power flow interruption, the lower the system reliability, and vice versa. Reliability of a distribution system can be analyzed based on SAIDI and SAIFI parameters. In this research, reliability analysis of distribution system on Gejayan substation. The analysis result using SAIDI and SAIFI parameters shows that Gejayan substation is reliable enough to national standard, while based on international standard still not reliable.
Energy Efficiency Through Lighting and Cooling System Approach Mujaahid, Faaris; Mustika, Doane Puri; Syahputra, Ramadoni; Putra, Karisma Trinanda; Purwanto, Kunnu
Journal of Electrical Technology UMY Vol 2, No 1 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2127

Abstract

This work reports the implementation of using energy efficient electronic devices to reduce the electricity consumption in Universitas Muhammadiyah Yogyakarta (UMY). The first step taken by UMY is to replace lighting and cooling system in all its rooms using energy saving devices. This research was conducted in building E4. This research was conducted by surveying the designated building to get data about lighting and air conditioner devices used in the E4 building. If the proposed concept is applied to lighting and cooling system, UMY would be able to reduce electricity consumption by 28.1 MWh, and this can support the breakthrough of turning UMY into a green campus.
Implementation of Automatic Transfer Switch on the Solar Home System at the Goat Farm Houses Chamim, Anna Nur Nazilah; Peggy Irawan, Agil; Syahputra, Ramadoni
Journal of Electrical Technology UMY Vol 4, No 2 (2020): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v4i2.10680

Abstract

In Pirak Mertosutan Hamlet, Sleman, Yogyakarta, there is a goat farm complex with about 600 m2. The intricate lighting comes from the National Electricity Company (PLN) and the Solar Home System (SHS). SHS is the primary energy source for lighting, while PLN is a secondary energy source that replaces it when the power supply from SHS goes out. So far, the transfer from SHS to PLN has been carried out by humans. This fact is considered inefficient because the SHS supply does not always die during the day. At night, the officers who move the difficulties have to go to the cage complex located relatively far from residential areas. To facilitate the transfer of energy sources from SHS to PLN and vice versa. It does not need to be done by officers. It is necessary to automatically install a means to automatically move the two sources automatically. This tool is the Automatic Transfer Switch (ATS). This tool can move the energy supply from SHS to PLN and vice versa. By considering the specifications used in the SHS in the farm complex, the ATS is made and then installed in the farm complex. After the installation is carried out, the functional test is carried out. The ATS installation test results show that the ATS can work according to the design; namely, when the SHS is off, the source used is automatically switched to PLN. When the SHS is on, the source that was using PLN will automatically switch to SHS.
Power Transformer Loading Analysis in Order to Improve the Reliability of a Substation Syahputra, Ramadoni; Arrozak, Loudy Fajar
Journal of Electrical Technology UMY Vol 1, No 4 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1422

Abstract

This paper presents the power transformer loading analysis in order to improve the reliability of a substation. The substation that was the location of the study was the 150/20 KV Kentungan Substation, Sleman, Yogyakarta Special Region. Power transformers are the most important electrical equipment in a substation. The power transformer functions as a provider of electrical energy that has been transmitted from the power plant to then be channeled to electricity loads. In its operational it is very important to know the capacity and capacity of power transformers in serving electric loads for decades to come, with the aim that the electric power service can take place well. Therefore, the forecasting of the power transformer is important to know in the framework of the operational planning of a good substation. The results of the study indicate that the peak load of power transformers in the period 2014 to 2016 is still in a safe level, where the maximum peak load is 93% of the total capacity of the transformer. However, it is recommended that the power transformer capacity be planned to begin to anticipate the growth of loads in the coming years.
Analysis of Power Transformer Insulation: A Case Study in 150 kV Bantul Substation Hidayat, Arief Rahman; Jamal, Agus; Chamim, Anna Nur Nazilah; Syahputra, Ramadoni; Jeckson, Jeckson
Journal of Electrical Technology UMY Vol 3, No 2 (2019): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3254

Abstract

Insulation of the transformer is one of the essential components. So that the quality of the resistance in the isolation of the transformer is essential to note the condition, in order to find out the condition of the transformer isolation, several tests must be performed, namely the polarization index, delta tangent, and break down voltage. In this study, all three tests were carried out on Transformer 1 in the 150 kV Bantul substation. Polarization index testing itself is testing the leakage current on the transformer isolation by comparing the test results for 1 minute with the results of the 10-minute drive test. While delta tangent is testing capacitive leakage current in the isolation transformer, and break down voltage is a test of the ability of the breakdown voltage in transformer insulation oil. Based on the results of the analysis, it can be seen that the value of the transformer polarization index in 2016 and 2018, the average value between the windings has been in the rating of 1.25-2.0. As for the delta tangent test results in 2016 and 2018, the value between the capacitive parts is already in the rating of 0.18% -0.36%. For the breakdown voltage test results in 2016 and 2018, the average breakdown voltage value is 43.9 kV/mm - 65.5 kV/mm. From these data, it can be concluded that the transformer isolation conditions in 2016 and 2018 are in good condition, although there was a decline in the transformer isolation conditions in 2016. However, the National Electric Company has made repairs and maintenance of the isolation transformer. This is seen due to an increase in the quality of transformer insulation in 2018. Repair and maintenance of transformer insulation are done to maximize the work system and the life of the transformer.