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The Influence of Olive Oil Additive on Sunflower Seed Oil to Improve The Breakdown Voltage of Insulation Oil CHRISTIONO, CHRISTIONO; FIKRI, MIFTAHUL; MULYANA, IWA GARNIWA; ABDUH, SYAMSIR; MAURIRAYA, KARTIKA TRESYA; FAHRI, MUHAMMAD
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.701

Abstract

ABSTRAKTegangan tembus isolasi minyak yang baru adalah sebesar >=30kV/2,5mm. Sesuai dengan standar IEC 601-56:2018. Minyak biji bunga matahari dipilih sebagai alternatif karena harganya terjangkau dan mudah diperoleh, akan tetapi minyak biji bunga matahari murni belum memenuhi standar IEC 61099:2010, dalam memenuhi standart tersebut dibutuhkan zat adiftif untuk meningkatkan nilai tegangan tembus isolasinya. Tujuan dari penelitian ini adalah untuk meningkatkan tegangan tembus isolasi minyak bunga matahari setelah ditambahkan aditive minyak zaitun untuk meningkatkan kemampuan isolasi, mengikuti standar IEC 61099:2010. Hasil penelitian menunjukkan bahwa minyak biji bunga matahari mempunyai nilai tegangan tembus sebesar 30,9 kV. Namun, setelah ditambahkan aditif minyak zaitun dengan perbandingan 60:40, nilai tegangan tembus meningkat menjadi 50,3 kV. Sehingga hasil pengujian minyak biji bunga matahari yang ditambahkan minyak zaitun memenuhi standar tersebut.Kata kunci: Minyak Isolasi, Minyak Bunga matahari, aditif, Tegangan Tembus ABSTRACTThe new oil insulation breakdown voltage is >=30kV/2.5mm. Compliant with IEC 601-56:2018 standards. Sunflower seed oil was chosen as an alternative because it is affordable and easy to obtain, however, pure sunflower seed oil does not meet the IEC 61099:2010 standard, to meet these standards additives are needed to increase the value of the insulation breakdown voltage. This research aims to increase the insulation breakdown voltage of sunflower oil after adding olive oil additives to increase its insulating ability, following the IEC 61099:2010 standard. The research results show that sunflower seed oil has a breakdown voltage value of 30.9 kV. However, after adding olive oil additives in a ratio of 60:40, the breakdown voltage value increased to 50.3 kV. So that the test results for sunflower seed oil added with olive oil meet the standards outlined.Keywords: Insulation Oil, Sunflower Seed Oil, additive, Breakdown Voltage
Lifetime estimation of DC XLPE cable insulation using BPNN-IPM improved with various schemes and optimization methods Fikri, Miftahul; Abdul-Malek, Zulkurnain; Mohd Esa, Mona Riza; Supriyanto, Eko; Mulyana Kartadinata, Iwa Garniwa; Abduh, Syamsir; Christiono, Christiono
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp86-98

Abstract

The world’s need for green energy is something that cannot be postponed any longer, where the transmission-distribution process requires power distribution in DC voltage. However, currently, the majority use AC voltage, so limited experience and lack of data regarding electrical cable aging under high voltage (HVDC) and their reliability are problems that must be resolved. Crosslinked polyethylene (XLPE) constitutes many insulation cables used today, so estimating the lifetime of DC XLPE cable insulation is urgent research, even though various model-optimization improvements are needed to obtain accurate results. This research begins with pre-processing for the input and output data. These results were then analyzed using two improved model schemes to accommodate the addition of variable space charge and thickness: backpropagation neural network (BPNN) and hybrid BPNN with inverse power model (BPNN-IPM). The learning process uses gradient descent (GD), genetic algorithm (GA), and Levenberg-Marquardt (LM) optimization methods. Finally, the proposed method was verified using experimental data from previous research. The results show that the hybrid BPNN-IPM with LM optimization method is the most accurate: training root mean square error (RMSE) achieved 0 days, and testing RMSE achieved 0.83 days. These results show that the method BPNN-IPM-LM used is most accurate in estimating the lifetime of DC XLPE insulation.
Optimasi Daya Keluaran PLTS Berdasarkan Sudut Kemiringan Di Institut Teknologi PLN Jakarta Miftahul Fikri
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2534

Abstract

Energi terbarukan adalah energi yang mempunyai sifat terbarukan dan juga berkesinambungan yang dimana memiliki pemanfaatan alternatif terhadap energi yang perlu terus dikembangkan. Pembangkit Listrik Tenaga Surya (PLTS) menggunakan energi matahari sebagai sumber energi yang mngkonversi energi matahari menjadi energi listrik. Untuk mendapatkan nilai maksimal intensitas matahari yang diterima oleh panel surya, maka dibutuhkan sudut kemiringan paling optimal untuk menerima daya matahari yang paling tinggi. Penelitian ini dilakukan untuk mengetahui peningkatan daya yang dihasilkan terhadap perubahan sudut kemiringan dengan menggunakan metode kuantitatif korelasi dan menggunakan regretion quadratic method, yang dimana memperoleh nilai R² = 0,9273 dan mendapatkan hasil perbandingan yang didapatkan antara eksperiment dengan model regresi kuadrataik diperoleh nilai (Root Mean Square Eror) RMSE 0,160 yang menunjukkan model sangat baik. Kemudian diperoleh sudut yang mengoptimalkan luaran daya PLTS sebesar 33,7° dengan daya keluaran sebesar 8,87 W.
Improvement the cogging torque reduction methods by combining the magnet slotted and gradually inclined surface end in permanent magnet generator Abduh, Syamsir; Fikri, Miftahul; Nur, Tajuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp32-38

Abstract

Cogging torque (CT) in permanent magnet synchronous (PMS) machine, generator or electric motor should be reduced to increase the preperformance in application. Many CT reduction techniques has been proposed in the last few years. This research dealt with the study of techniques for reduction of the CT in PMSG. The PMS generator investigated in this paper is the integral slot number type with 18 slots and 6 poles. The CT has been analyzed to be reduced by employ the slot opening width variation, magnet edges slotting, and gradually inclined surface end. This paper also has analyzed the effect of combination of slot opening width and slotting permanent magnets. The finite element method magnetics (FEMM) is used in this work to perform electromagnetic simulations of the PMSG. Using the FEMM, the CT reduction of permanent magnet synchronous generators studied is analyzed and the CT peak value is compared. It is found that by combining of reduced of slot opening and slotting the permanent magnets can reduce the CT of PMS generator significantly abound 98.55% compared with the base line model.
Optimization of Mechanical Performance Polymer Insulators SiR Using CFA Waste as Filler Fikri, Miftahul; K, Iwa Garniwa Mulyana; Christiono, Christiono; Thahara, Andi Amar
Jurnal IPTEK Vol 29, No 1 (2025): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i1.4923

Abstract

This study investigates the use of coal fly ash as a filler in Room Temperature Vulcanization (RTV) silicone rubber to enhance its mechanical properties. Fly ash, which contains silica, has the potential to improve the strength of the polymer. The research aims to optimize the composition of fly ash in RTV silicone rubber composites using the quadratic regression method, focusing on tensile strength and elongation performance. Tests were conducted according to ASTM D 412 standards for tensile strength and elongation. The results showed that the optimal fly ash composition for tensile strength was 38.11%, resulting in a tensile strength of 0.19 and a Mean Absolute Percentage Error (MAPE) of 13.64%. For elongation, the optimal composition was 14.95%, with an elongation value of 192.094 and a MAPE of 24.75%. This study provides valuable insights into how fly ash can be used to enhance the mechanical properties of RTV silicone rubber composites.
Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM ) Fikri, Miftahul; Christiono, Christiono; Mulyana K, Iwa Garniwa; Ratnasari, Titi; Atmadja, Kurniawan; Thahara, Andi Amar; Romadhoni, Muhammad Luthfiansyah
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.63601

Abstract

In many electrical networks in Indonesia, insulation failure due to high voltage phenomena like Corona Discharge (CD) still happens. This is a result of our inability to perform early Corona Discharge (CD) identification. This study"™s objective is to optimalize the sound properties of Corona Discharge (CD) as a first step throught the early identification of insulation failure in the form of clustering 20 kV cubicle. Based on observations on the needle-rod electrode 3 cm apart, the smallest breakdown was obtained at 34.3 kV. So that the classification of CD sound by 3 clusters starting 20 kV cubicle voltage until before the failure occurs on 33 kV. The temperature in the cubical is between 27.5℃ - 35.3℃ and humidity ranges from 70% - 95%. It was stated in the study that the FcM method was the most widely used and successful method. In this case, FcM can obtain more flexible results that classify data into clusters easily. This research will be carried out using the Fuzzy c-Means (FcM) method. Feature extraction with linear predictive coding (LPC) method, then optimization by using the Fuzzy c-Means (FcM) method which is expected to be used as an initial step for early detection of insulation failure.