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In this study, the lightning protection system and grounding system of one plant of the petrochemical industry were investigated, evaluated, and improved. The methods used in this study were rolling sphere and angle protection methods. The grounding system of the building under study was modeled and simulated using ATP/EMTP (Alternative Transient Program/Electromagnetic Transient Program) software. The results show that the external lightning protection system of the prilling tower studied does not adhere to IEC 62305 and IEC 1024-1-1 standards. Moreover, the grounding configuration of the DCS building was not appropriate for protecting sensitive equipment inside. Lightning causes an enormous potential difference between lightning ground rods in the grounding system. Additionally, disabling the existing surge protective device (SPD) causes an increase in the magnitude of Ground Potential Rise at the DCS building. Improvement of the lightning protection system of the prilling tower and DCS building on Plant 1 of this petrochemical company as well as some other recommendations for improvements are proposed. This paper also shows evidence that external lightning protection, internal lightning protection, and the grounding system need to be connected to make an exemplary lightning protection system.
I Negara; Daniar Fahmi; Dimas Asfani; Ign Hernanda; Rendi Pratama; Arief Ksatria. Investigation and Improvement of Standard External Lightning Protection System: Industrial Case Study. Energies 2021, 14, 4118 .
AMA StyleI Negara, Daniar Fahmi, Dimas Asfani, Ign Hernanda, Rendi Pratama, Arief Ksatria. Investigation and Improvement of Standard External Lightning Protection System: Industrial Case Study. Energies. 2021; 14 (14):4118.
Chicago/Turabian StyleI Negara; Daniar Fahmi; Dimas Asfani; Ign Hernanda; Rendi Pratama; Arief Ksatria. 2021. "Investigation and Improvement of Standard External Lightning Protection System: Industrial Case Study." Energies 14, no. 14: 4118.
Contaminants in transformer oil insulation can float when meeting several conditions. Then, the presence of floating contaminants affects the electrical characteristics of oil insulation. Therefore, the pre-breakdown (corona) and breakdown characteristics due to metallic floating particles in transformer oil insulation would be investigated. This test used DC high voltage stress. A 56 Ω resistor was connected to the oscilloscope to detect the corona currents. The camera was used to capture the images of corona light emission. In addition, the electric field between the electrode and particles was simulated. The variables were the particle size, including its shape, and the distance between the particles and the grounded electrode. The experimental results show that the average value of corona inception and breakdown was inversely proportional to the size of floating particles. The peak value of corona current was directly proportional to the particle size. The lowest breakdown voltage was found when the particle was close to the electrode, but they were not in contact.
I. Yulistya Negara; Daniar Fahmi; Dimas Asfani; I. Hernanda; Mochammad Wahyudi; Muhammad Ibrahim. Effect of Floating Metallic Particles in Pre-Breakdown and Breakdown Characteristics of Oil Transformer under DC Voltage. Energies 2021, 14, 3669 .
AMA StyleI. Yulistya Negara, Daniar Fahmi, Dimas Asfani, I. Hernanda, Mochammad Wahyudi, Muhammad Ibrahim. Effect of Floating Metallic Particles in Pre-Breakdown and Breakdown Characteristics of Oil Transformer under DC Voltage. Energies. 2021; 14 (12):3669.
Chicago/Turabian StyleI. Yulistya Negara; Daniar Fahmi; Dimas Asfani; I. Hernanda; Mochammad Wahyudi; Muhammad Ibrahim. 2021. "Effect of Floating Metallic Particles in Pre-Breakdown and Breakdown Characteristics of Oil Transformer under DC Voltage." Energies 14, no. 12: 3669.
This paper presents a comparative study on mother wavelets using a fault type classification algorithm in a power system. The study aims to evaluate the performance of the protection algorithm by implementing different mother wavelets for signal analysis and determines a suitable mother wavelet for power system protection applications. The factors that influence the fault signal, such as the fault location, fault type, and inception angle, have been considered during testing. The algorithm operates by applying the discrete wavelet transform (DWT) to the three-phase current and zero-sequence signal obtained from the experimental setup. The DWT extracts high-frequency components from the signals during both the normal and fault states. The coefficients at scales 1–3 have been decomposed using different mother wavelets, such as Daubechies (db), symlets (sym), biorthogonal (bior), and Coiflets (coif). The results reveal different coefficient values for the different mother wavelets even though the behaviors are similar. The coefficient for any mother wavelet has the same behavior but does not have the same value. Therefore, this finding has shown that the mother wavelet has a significant impact on the accuracy of the fault classification algorithm.
Chaichan Pothisarn; Jittiphong Klomjit; Atthapol Ngaopitakkul; Chaiyan Jettanasen; Dimas Anton Asfani; I Made Yulistya Negara. Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems. Applied Sciences 2020, 10, 1203 .
AMA StyleChaichan Pothisarn, Jittiphong Klomjit, Atthapol Ngaopitakkul, Chaiyan Jettanasen, Dimas Anton Asfani, I Made Yulistya Negara. Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems. Applied Sciences. 2020; 10 (4):1203.
Chicago/Turabian StyleChaichan Pothisarn; Jittiphong Klomjit; Atthapol Ngaopitakkul; Chaiyan Jettanasen; Dimas Anton Asfani; I Made Yulistya Negara. 2020. "Comparison of Various Mother Wavelets for Fault Classification in Electrical Systems." Applied Sciences 10, no. 4: 1203.
This paper discusses the effect of parameters of passive Ferroresonance Suppression Circuit (FSC) on Capacitive Voltage Transformer (CVT) in not only the mitigation of ferroresonance oscillation, but also the normal operating voltage and current of CVT. The passive FSC composed of a resistor paralleled with a saturable reactor that has been a series circuit of a resistor and a saturable inductor. In this study, the resistance values have been varied. Then, one of the resistance variations has been used to damp the ferroresonance oscillation during the simulation with load variation of CVT. The opening and the reclosing of the circuit breaker have been utilized to initiate the ferroresonance on CVT. The results have showed that the existence of passive FSC with the given parameter values could effectively suppress the highly distorted overvoltage and overcurrent of ferroresonance oscillation, but the normal operating voltage and current of CVT have been increased during FSC resistor variation and have been decreased during saturable reactor resistor variation. The resistance value of FSC has been linear with the peak voltage and the ripple of waveform, whereas the resistance value of saturable reactor has been opposite with the peak voltage and the ripple of waveform. Furthermore, the load variation of CVT affected the ferroresonance behaviour and the peak voltage and current of CVT. Regarding those results, the electrical engineer should be able to choose the design of FSC appropriately in order to not only get the effective ferroresonance mitigation, but also to maintain the normal operating conditions of CVT in the future. Copyright © 2019 Praise Worthy Prize - All rights reserved.
I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Mochammad Wahyudi; Nuruddin Afif. Parameters of Passive Ferroresonance Suppression Circuit (FSC) Affecting Ferroresonance Damping and Normal Operating Voltage and Current of Capacitive Voltage Transformer (CVT). International Review on Modelling and Simulations (IREMOS) 2019, 12, 313 .
AMA StyleI Made Yulistya Negara, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, Mochammad Wahyudi, Nuruddin Afif. Parameters of Passive Ferroresonance Suppression Circuit (FSC) Affecting Ferroresonance Damping and Normal Operating Voltage and Current of Capacitive Voltage Transformer (CVT). International Review on Modelling and Simulations (IREMOS). 2019; 12 (5):313.
Chicago/Turabian StyleI Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Mochammad Wahyudi; Nuruddin Afif. 2019. "Parameters of Passive Ferroresonance Suppression Circuit (FSC) Affecting Ferroresonance Damping and Normal Operating Voltage and Current of Capacitive Voltage Transformer (CVT)." International Review on Modelling and Simulations (IREMOS) 12, no. 5: 313.
Peoples have shifted from fossil fuel-powered vehicles to electric vehicles these days. It is environmentally friendly and also saves more energy. Electric scooter has two main components which are BLDC motor as a prime mover and battery as energy storage. Therefore, design of monitoring and diagnosing instruments are needed to maintain battery performance. Design of the instrument necessarily arranged to optimize the battery usage, monitor and identify an interruption or damage on battery used in electric scooter. Parameters used in design are voltage, current, temperature, and battery capacity. Furthermore, in optimizing the battery usage, all of the parameters are processed by a Controller Area Network (CAN) protocol. The parameters will be displayed on android smartphone to provide the scooter performance and give an alert if the interruption or damage is occurred such as over temperature and unbalanced cell. Based on the experiment results, it is shown that maximum error for current testing is 2.17% and for voltage testing is 0.09%. Maximum unbalance cell testing value reaches 12 % with an average value over 1 minute is 8.4% while safe limit of unbalance cell is 10%.
Dimas Anton Asfani; I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Muhammad Nur Yuniarto; Rizal Hardiyanto; Raditya Premananda. Real-Time Battery Monitoring and Fault Identification Application on Electric Scooter. 2019 International Seminar on Application for Technology of Information and Communication (iSemantic) 2019, 471 -475.
AMA StyleDimas Anton Asfani, I Made Yulistya Negara, I Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, Muhammad Nur Yuniarto, Rizal Hardiyanto, Raditya Premananda. Real-Time Battery Monitoring and Fault Identification Application on Electric Scooter. 2019 International Seminar on Application for Technology of Information and Communication (iSemantic). 2019; ():471-475.
Chicago/Turabian StyleDimas Anton Asfani; I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Muhammad Nur Yuniarto; Rizal Hardiyanto; Raditya Premananda. 2019. "Real-Time Battery Monitoring and Fault Identification Application on Electric Scooter." 2019 International Seminar on Application for Technology of Information and Communication (iSemantic) , no. : 471-475.
Ferroresonance is a nonlinear resonance phenomenon that can cause a high increase in current and voltage so that it can cause damage to electrical equipment and can eventually disrupt the electrical system. The main problem in this phenomenon is the complexity of this phenomenon in its detection, prevention, and handling. Wavelet transformation is one of the methods for analyzing ferroresonance detection. The purpose of this study is to be able to find out the suitable wavelet transformation based to detect ferroresonance phenomena. In this study, the detection was carried out by analyzing significant changes in the detailed coefficient value of wavelet (DWT) ferroresonance signal using the MATLAB software. The choice of based wavelet is done by two methods. The first method is to analyze the speed of detection and the ratio of the detail coefficient value detected to the threshold value. The second method is to compare the ratio of cumulative energy calculations to normal conditions and ferroresonance conditions. The based wavelet used 54 based wavelet available on the MATLAB software DWT. Based on studies conducted in the first method, the coif5 mother wavelet shows superior detection performance compared to other mother wavelets by detecting faster consistently in each ferroresonance mode. In the second method, the rbio3.3 mother wavelet consistently produces a cumulative energy ratio greater than the other mother wavelets.
I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Verdiansyah; Bagas Kuntala Aji. Wavelet Transformation Selection for Detection of Ferroresonance Behaviour. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2019, 253 -258.
AMA StyleI Made Yulistya Negara, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, Verdiansyah, Bagas Kuntala Aji. Wavelet Transformation Selection for Detection of Ferroresonance Behaviour. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2019; ():253-258.
Chicago/Turabian StyleI Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Verdiansyah; Bagas Kuntala Aji. 2019. "Wavelet Transformation Selection for Detection of Ferroresonance Behaviour." 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 253-258.
Liquid insulation may fail on utilizing its functions due to aging. Aging is caused by the presence of materials such as solid particles, oxygen, water, piles of deposits, dirt, and dust. The solid particles in form of copper, aluminum, stainless steel, and other metal materials may cause impurities and lower the value of breakdown voltage. These particles may float in oil and have different motion and breakdown characteristic. This study was conducted with variable on particles of stainless steel as contaminants. Contaminants vary in shape and size, i.e. spherical and elliptical shape particles with different size. This test was carried out by using DC high voltage generation. Video recording was done to capture the movement pattern of floating metal particles with a high speed camera. Nonetheless, CST simulation was running to determine the field value (E) when the particle moves. The results of the tests showed that the smaller the particle diameter, the greater the breakdown voltage value. Furthermore, particle size has an effect on the pattern of movement of floating metal particles. The larger the particles is, the more cycle generated and the faster floating metal particles move.
Daniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Tasha Hadianty Deliana; Juan Christian Soebagio. Floating Metal Particle Motion Characteristics with Shape and Size Variation in the Oil Insulation Under DC Voltage. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2019, 259 -264.
AMA StyleDaniar Fahmi, I Made Yulistya Negara, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Tasha Hadianty Deliana, Juan Christian Soebagio. Floating Metal Particle Motion Characteristics with Shape and Size Variation in the Oil Insulation Under DC Voltage. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2019; ():259-264.
Chicago/Turabian StyleDaniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Tasha Hadianty Deliana; Juan Christian Soebagio. 2019. "Floating Metal Particle Motion Characteristics with Shape and Size Variation in the Oil Insulation Under DC Voltage." 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 259-264.
Fires in residential areas are generally caused by low-voltage arcing. This phenomenon has unique characteristics, very high current magnitude and very fast period. Therefore, low-voltage arcing can’t be detected by circuit breaker. The study about low-voltage arcing detection on non-linear load with total harmonic distortion (THD) and power factor (cos phi) variations has been conducted. There were two observation conditions, arcing and normal condition. This study has been able to detect low-voltage arcing. Based on wavelet transformation, maximum value of high frequency (HF) current and the number of arc points that exceeds the HF current threshold (2 A) were used to differentiate between arcing and normal conditions. Based on the analysis results, maximum value of HF current and the number of arc points at arcing condition are not affected by THD and power factor variations.
Dimas Anton Asfani; Daniar Fahmi; I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Jefri Haris Setyadi; Made Yudha Pranadiksa Giri. Low-Voltage Arcing Detection on Non-Linear Load with Total Harmonic Distortion and Power Factor Variations. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2019, 265 -269.
AMA StyleDimas Anton Asfani, Daniar Fahmi, I Made Yulistya Negara, I Gusti Ngurah Satriyadi Hernanda, Jefri Haris Setyadi, Made Yudha Pranadiksa Giri. Low-Voltage Arcing Detection on Non-Linear Load with Total Harmonic Distortion and Power Factor Variations. 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2019; ():265-269.
Chicago/Turabian StyleDimas Anton Asfani; Daniar Fahmi; I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Jefri Haris Setyadi; Made Yudha Pranadiksa Giri. 2019. "Low-Voltage Arcing Detection on Non-Linear Load with Total Harmonic Distortion and Power Factor Variations." 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 265-269.
Increasing of load demand causes the greater electrical power needed. When the transformer operation in overload conditions and hottest-spot temperature, it will accelerate the aging and failure in oil insulation of transformer. Application of distributed generation (DG) can provide the additional electrical power supply to the loads (household). So that, it can relieve the workload power transformer and reduce the acceleration of aging in oil insulation of transformer. This research will analysed the effect of loading capacity with DG injection using a PV generator on the condition of oil insulation on 150 / 20kV of electricity distribution system using ETAP software. Tests of this research are carried out on 24 hours of loading conditions on the distribution system. The calculation of isolation oil temperature was carried out using a mathematical formula according to the IEEE, and oil insulation would be tested with a breakdown voltage (BDV) test.
F. Dewi Cahya; Daniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; Mahirul Mursid. Loading Effect with Distributed Generation (DG) Injection on Distribution System on Temperature and Breakdown Voltage of Oil Transformer in Distributed System. Journal of Physics: Conference Series 2019, 1201, 012011 .
AMA StyleF. Dewi Cahya, Daniar Fahmi, I Made Yulistya Negara, Dimas Anton Asfani, Mahirul Mursid. Loading Effect with Distributed Generation (DG) Injection on Distribution System on Temperature and Breakdown Voltage of Oil Transformer in Distributed System. Journal of Physics: Conference Series. 2019; 1201 (1):012011.
Chicago/Turabian StyleF. Dewi Cahya; Daniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; Mahirul Mursid. 2019. "Loading Effect with Distributed Generation (DG) Injection on Distribution System on Temperature and Breakdown Voltage of Oil Transformer in Distributed System." Journal of Physics: Conference Series 1201, no. 1: 012011.
This paper performed the ferroresonance generation experiment with variation of capacitance based on Rudenberg graphical method. The voltage and current measurements were conducted on the transformer primary windings, source voltage, and capacitor. The trend of transformer voltage waveform was then analyzed by using bifurcation diagram. Moreover, the fast Fourier transform (FFT) was applied on the transformer primary voltage. The harmonics spectrum would show the ferroresonance mode. Then, its total harmonics distortion (THD) was calculated. The level of ferroresonance severity involving the values of transformer voltage and overvoltage level as well as THD was mapped based on the quadrant system. The results showed that the appearances of jump phenomenon and different ferroresonance severities could be explained more clearly by using Rudenberg graphical method. In addition, the proposed mapping of ferroresonance responses based on the quadrant system was successful not only to highlight the impact of given variables on ferroresonance but also to categorize more easily its danger level. Copyright © 2019 Praise Worthy Prize - All rights reserved.
I Made Yulistya Negara; Mochammad Wahyudi; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Adi Soeprijanto. Effect of Capacitance Variation on Physical Characteristics of Ferroresonance Severity and Jump Phenomenon Based on Rudenberg Graphical Method. International Review of Electrical Engineering (IREE) 2019, 14, 55 .
AMA StyleI Made Yulistya Negara, Mochammad Wahyudi, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, Adi Soeprijanto. Effect of Capacitance Variation on Physical Characteristics of Ferroresonance Severity and Jump Phenomenon Based on Rudenberg Graphical Method. International Review of Electrical Engineering (IREE). 2019; 14 (1):55.
Chicago/Turabian StyleI Made Yulistya Negara; Mochammad Wahyudi; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; Adi Soeprijanto. 2019. "Effect of Capacitance Variation on Physical Characteristics of Ferroresonance Severity and Jump Phenomenon Based on Rudenberg Graphical Method." International Review of Electrical Engineering (IREE) 14, no. 1: 55.
This paper performed the ferroresonance experiment with configuration of capacitance series and shunt to 1 kV transformer core type H and 1 kV transformer core type M. The experiment was using ferroresonance test module, source voltage (autotransformer 0-220 V, 7 A), and PC (Labview and Diadem). The voltage and current measurements were conducted on the transformer primary windings, source voltage, and capacitor (Cseries). The experiment was conducted to acknowledge the variation of capacitance series and capacitance shunt in order to obtain ferroresonance response. Ferroresonance response was focused by physical characteristics of ferroresonance such as distortion of waveform transformator voltage and jump phenomenon occurrence. The results showed that Cseries have significant impact over Cshunt. The ferroresonance waveform is obtained only with the Cseries capacitance value greater than the Cshunt capacitance value. Fundamental mode was dominating the most of ferroresonance response, with the voltage THD 25,66 % in configuration Cshunt 30 uF-Cseries 70 uF. Subharmonic mode was also appeared in this configuration with highest voltage THD 34.99 %.
I Gusti Ngurah Satriyadi Hernanda; I Made Yulistya Negara; Dimas Anton Asfani; Daniar Fahmi; Neisya Islamey Rifma; Mochammad Wahyudi. Experiment Based on Analysis of Series and Shunt Capacitance to Ferroresonance Response on Low Voltage Transformer. 2018 Conference on Power Engineering and Renewable Energy (ICPERE) 2018, 1 -6.
AMA StyleI Gusti Ngurah Satriyadi Hernanda, I Made Yulistya Negara, Dimas Anton Asfani, Daniar Fahmi, Neisya Islamey Rifma, Mochammad Wahyudi. Experiment Based on Analysis of Series and Shunt Capacitance to Ferroresonance Response on Low Voltage Transformer. 2018 Conference on Power Engineering and Renewable Energy (ICPERE). 2018; ():1-6.
Chicago/Turabian StyleI Gusti Ngurah Satriyadi Hernanda; I Made Yulistya Negara; Dimas Anton Asfani; Daniar Fahmi; Neisya Islamey Rifma; Mochammad Wahyudi. 2018. "Experiment Based on Analysis of Series and Shunt Capacitance to Ferroresonance Response on Low Voltage Transformer." 2018 Conference on Power Engineering and Renewable Energy (ICPERE) , no. : 1-6.
In future, Distributed Generation (DG) and charging station penetration (as a result of electric vehicle development) will grow rapidly. Both of them will be able to connect directly into distribution transformer. Their penetration enables to change the daily loading pattern of a distribution transformer. During this time, many studies have been conducted in order to determine the DG effect and the charging station to the aging of the transformer. However, those studies have not investigated the effect on the transformer directly. Under their penetration, the liquid insulation may experience different electrical and thermal stress. Therefore, a study to evaluate the condition of the transformer insulation directly will be offered, especially on the transformer oil. In this study the effect of temperature fluctuations as an illustration of the penetration of EV charging and DG on the transformer to the transformer oil characteristics is investigated. Temperature fluctuations are made to resemble the transformer loading profile when there is penetration of EV charging and DG. The evaluation is performed by analyzing physical, electrical, and DGA characteristics of transformer oil. Moreover, the analysis compares the result with effect of transformer daily load and constant temperature pattern. The results show that rapid temperature fluctuation makes the transformer oil quality reduce faster than it should be. Copyright © 2018 Praise Worthy Prize - All rights reserved.
Daniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Mochammad Wahyudi; Novia Andriani. Investigation of Transformer Oil Characteristics by the Effect of Rapid Temperature Fluctuation. International Journal on Energy Conversion (IRECON) 2018, 6, 160 .
AMA StyleDaniar Fahmi, I Made Yulistya Negara, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Mochammad Wahyudi, Novia Andriani. Investigation of Transformer Oil Characteristics by the Effect of Rapid Temperature Fluctuation. International Journal on Energy Conversion (IRECON). 2018; 6 (5):160.
Chicago/Turabian StyleDaniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Mochammad Wahyudi; Novia Andriani. 2018. "Investigation of Transformer Oil Characteristics by the Effect of Rapid Temperature Fluctuation." International Journal on Energy Conversion (IRECON) 6, no. 5: 160.
Ferroresonance still become a confusing phenomenon since its non-linear response and very high sensitivity to parameter system and flux condition of transformer core. The existence of such greatly destructive phenomenon is basically caused by an interaction among different inductances (non-linear) with a capacitance. This paper investigated the physical characteristic of ferroresonance on three phases transformer with different dimension of core leg in which the greatest dimension was at the second phase (S-phase). A variation capacitance was given in order to observe the ferroresonance behaviours, that were 10 uF, 50 uF, and 100 uF. The transformer primary voltage and its total harmonics distortion (THD) were then analyzed. The results showed that the capacitance value was not linear with the ferroresonance effect level on transformer. The highest overvoltage level was seen on the test with a capacitance of 50 uF, namely about 180 %, whereas the greatest THD value was observed on the test with a capacitance of 10 uF, namely about 18 %. Moreover, the S-phase with the greatest core leg dimension was the most susceptible to ferroresonance as the highest overvoltage level and THD value was seen on this phase.
Mochammad Wahyudi; I Made Yulistya Negara; Dimas Anton Asfani; I. Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; I Gusti Ngurah Satriyadi. Investigation of Ferroresonance Physical Behaviours on Three Phases Transformer with Unsymmetrical Core Leg. 2018 International Seminar on Application for Technology of Information and Communication 2018, 66 -70.
AMA StyleMochammad Wahyudi, I Made Yulistya Negara, Dimas Anton Asfani, I. Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi, I Gusti Ngurah Satriyadi. Investigation of Ferroresonance Physical Behaviours on Three Phases Transformer with Unsymmetrical Core Leg. 2018 International Seminar on Application for Technology of Information and Communication. 2018; ():66-70.
Chicago/Turabian StyleMochammad Wahyudi; I Made Yulistya Negara; Dimas Anton Asfani; I. Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi; I Gusti Ngurah Satriyadi. 2018. "Investigation of Ferroresonance Physical Behaviours on Three Phases Transformer with Unsymmetrical Core Leg." 2018 International Seminar on Application for Technology of Information and Communication , no. : 66-70.
This study dealt with the effect of inductance variation of Petersen coil grounding system on ferroresonance overvoltage in a power transformer transmission. The study was simulated by using ATPDraw. The switching operations with opened one-phase, two-phase, and three-phases were given as a transient that initiated ferroresonance. The output of ATPDraw performed the voltage responses of transformer on primary and secondary side. The results showed that the given inductance variation of Petersen coil on power transformer resulted in different ferroresonance voltage response on the transformer. Using 5 mH inductance would make the higher overvoltage, while using 95 mH inductance would make the lowest voltage peak response. When one-phase open fault occurred, using inductance in range 20 - 100 mH would make Fundamental mode of ferroresonance in phase R on the primary and secondary side of the power transformer. When two-phase open fault occurred, using inductance 95 mH would make Subharmonic mode of ferroresonance in phase R and Fundamental mode in phase S on primary and secondary side of the power transformer. When three-phase open fault occurred, using inductance in range 15 - 100 mH would make Chaotic mode of ferroresonance in phase R, S, and T on the primary and secondary side of the power transformer.
I Gusti Ngurah Satriyadi Hernanda; I Made Yulistya Negara; Dimas Anton Asfani; Daniar Fahmi; Mochammad Wahyudi; Kadek Suparta Anugrah. Study of Petersen Coil Grounding System Inductance Variation on Ferroresonance in 150 kV Transformer. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 141 -146.
AMA StyleI Gusti Ngurah Satriyadi Hernanda, I Made Yulistya Negara, Dimas Anton Asfani, Daniar Fahmi, Mochammad Wahyudi, Kadek Suparta Anugrah. Study of Petersen Coil Grounding System Inductance Variation on Ferroresonance in 150 kV Transformer. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():141-146.
Chicago/Turabian StyleI Gusti Ngurah Satriyadi Hernanda; I Made Yulistya Negara; Dimas Anton Asfani; Daniar Fahmi; Mochammad Wahyudi; Kadek Suparta Anugrah. 2018. "Study of Petersen Coil Grounding System Inductance Variation on Ferroresonance in 150 kV Transformer." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 141-146.
Iron core of transformer is a nonlinear inductance component. When this component meets system capacitance, ferroresonance phenomenon may occur. Later, this phenomenon highly distorts the system into over voltage and over current conditions which lead to a fatal destruction of transformer. In this study, two types of iron core had been simulated using ATPDraw to find out their ferroresonance characteristics. MATLAB also had been used to plot the bifurcation diagram during grading capacitance variation. The results showed that the stability of system could more easily be figured out based on the bifurcation diagram. Furthermore, it was pointed out that the transformer with M5 type had better characteristic of ferroresonance responses with 81,08% simulation results were ferroresonance than ZDKH type with 89,19% simulation results were ferroresonance.
I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Dimas Anton Asfani; Daniar Fahmi; Mochammad Wahyudi; Reno Hidayat. Comparison of Ferroresonance Response on Three Phases Transformer with Different Core Material: M5 and ZDKH. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 129 -134.
AMA StyleI Made Yulistya Negara, I Gusti Ngurah Satriyadi Hernanda, Dimas Anton Asfani, Daniar Fahmi, Mochammad Wahyudi, Reno Hidayat. Comparison of Ferroresonance Response on Three Phases Transformer with Different Core Material: M5 and ZDKH. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():129-134.
Chicago/Turabian StyleI Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Dimas Anton Asfani; Daniar Fahmi; Mochammad Wahyudi; Reno Hidayat. 2018. "Comparison of Ferroresonance Response on Three Phases Transformer with Different Core Material: M5 and ZDKH." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 129-134.
The detection of partial discharge has an important role in high voltage equipment maintenance. Partial discharge occurs in pre-breakdown condition affected by several factors. There are many partial discharge detection methods. Unfortunately, less of them are applied for liquid insulation. In this paper, detection of partial discharge using RTL-SDR is used. Method in oil insulation will be studied. The experiment is conducted using HVAC generator and point to plane electrode. The analysis is performed on various air gaps and electrode's diameters in UHF band. The gap distances analyzed are at 1, 1.5 and 2 cm condition. Meanwhile, Diameter of electrode used in this experiment are 1, 2 and 6 mm. The results showed that signal strength from RTL-SDR method increased every addition of gap distance. The increasing of electrode's diameter only affected the breakdown condition. The result from RTL-SDR method were also validated and compared with leakage current method. Therefore, it is found out that RTL-SDR method is more sensitive than leakage current method for detecting partial discharge in oil insulation.
Daniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Mochammad Wahyudi; Hadi Lizikri Al Azmi. Impact of Diameter and Gap Distance on Partial Discharge Detection in Transformer Oil using RTL-SDR Method. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 135 -140.
AMA StyleDaniar Fahmi, I Made Yulistya Negara, Dimas Anton Asfani, I Gusti Ngurah Satriyadi Hernanda, Mochammad Wahyudi, Hadi Lizikri Al Azmi. Impact of Diameter and Gap Distance on Partial Discharge Detection in Transformer Oil using RTL-SDR Method. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():135-140.
Chicago/Turabian StyleDaniar Fahmi; I Made Yulistya Negara; Dimas Anton Asfani; I Gusti Ngurah Satriyadi Hernanda; Mochammad Wahyudi; Hadi Lizikri Al Azmi. 2018. "Impact of Diameter and Gap Distance on Partial Discharge Detection in Transformer Oil using RTL-SDR Method." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 135-140.
Brushless DC (BLDC) motors are widely used as the main component of electric scooter because of its advantages. Reliability of its application on electric scooter should be concerned. The faults amongst of its winding could affect the operation of it and bring to severe damage. This paper dealt with the designing of diagnostic tool for BLDC motor using surge test and its application. BLDC was tested using surge voltage that applied to its winding for every phase. Every windings for each phase in BLDC was emulated of specific fault. The surge voltage wave that appears will compared for each inter-turn fault, phase fault, and parallel fault. To analyze the result of the test, Error Area Ratio used to measure percentage error for every surge wave and analyze of every fault condition in BLDC. From this experiment using surge voltage test, it found that the surge voltage test could classify the difference either normal winding and fault in BLDC. The result, EAR percentage of normal winding in BLDC motor is below 10% and the fault winding is greater than 10%.
Dimas Anton Asfani; Dedet Candra Riawan; I Made Yulistya Negara; Daniar Fahmi; Angga Silahudin Hudaya; Dhanang Tri Laksono. Design of Surge Test Device for Brushless DC Motor in Electric Scooter Application. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 157 -161.
AMA StyleDimas Anton Asfani, Dedet Candra Riawan, I Made Yulistya Negara, Daniar Fahmi, Angga Silahudin Hudaya, Dhanang Tri Laksono. Design of Surge Test Device for Brushless DC Motor in Electric Scooter Application. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():157-161.
Chicago/Turabian StyleDimas Anton Asfani; Dedet Candra Riawan; I Made Yulistya Negara; Daniar Fahmi; Angga Silahudin Hudaya; Dhanang Tri Laksono. 2018. "Design of Surge Test Device for Brushless DC Motor in Electric Scooter Application." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 157-161.
In this paper, a web-based online monitoring system of low voltage series arcing was designed. Furthermore, the line impedance was anayzed. The method of arc detection was done by peak thresholding and peak counting of the current signal that were previously processed by a digital high pass filter in LabViewprogram. The algorithm in detection system was designed to recognize three common cases in a circuit, namely normal condition, load switching condition, and series arcing condition. The LabViewprogram was employed to communicate with a MySQL database that was located on a webhost server in internet network by sending the arcing detection log. The results showed that the proposed system could distinguish the arcing condition from the other cases and send this information to the web. In addition, the line impedance affected the sensitivity of arcing detection system since it attenuated the arcing signal.
Dimas Anton Asfani; Daniar Fahmi; I Made Yulistya Negara; Agung Brastama; Firdaus Fajar Kurniawan; Ikhlas Fibtri Ramadhan. Web-based Online Monitoring of Low Voltage Series Arcing with Line Impedance Analysis. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 123 -128.
AMA StyleDimas Anton Asfani, Daniar Fahmi, I Made Yulistya Negara, Agung Brastama, Firdaus Fajar Kurniawan, Ikhlas Fibtri Ramadhan. Web-based Online Monitoring of Low Voltage Series Arcing with Line Impedance Analysis. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():123-128.
Chicago/Turabian StyleDimas Anton Asfani; Daniar Fahmi; I Made Yulistya Negara; Agung Brastama; Firdaus Fajar Kurniawan; Ikhlas Fibtri Ramadhan. 2018. "Web-based Online Monitoring of Low Voltage Series Arcing with Line Impedance Analysis." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 123-128.
Electrical machines is more important in the industrial world. To maintain a continuous production that most of the process is supported by an induction motor it must be kept in good condition so that the damage can be avoided and make the equipment ages become longer. One of the damage to the induction motor is the air gap eccentricity which, if not detected, will cause friction between the rotor and the stator. For that needed a method for early detection. This research uses wavelet method. The type of wavelet families used there are 3. Wavelet families is haar, daubechies and symlet, it takes 3 wavelets to know which wavelet filter can better to detection air gap eccentricity. In the haar wavelet the success rate of dl (detail), d4 by 10%. For daubechies wavelet the percentage of success is in d1 by 90%, d2 and d4 by 20% and d3 by 10%. While for wavelet symlet the percentage of success in d1 is 100%, d2 is 80%, d3 is 30% and d4 is 20%. So for the type wavelet filter is haar the percentage of detection success rate is very low compared to the wavelet filters of daubechies and symlet.
Restu Mukti Utomo; I Made Yulistya Negara; Dimas Anton Asfani; Nur Rani Alham. Wavelet Filter Selection Analysis for Air Gap Eccentricity in Three Phase Induction Motor. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2018, 199 -204.
AMA StyleRestu Mukti Utomo, I Made Yulistya Negara, Dimas Anton Asfani, Nur Rani Alham. Wavelet Filter Selection Analysis for Air Gap Eccentricity in Three Phase Induction Motor. 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2018; ():199-204.
Chicago/Turabian StyleRestu Mukti Utomo; I Made Yulistya Negara; Dimas Anton Asfani; Nur Rani Alham. 2018. "Wavelet Filter Selection Analysis for Air Gap Eccentricity in Three Phase Induction Motor." 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) , no. : 199-204.
Bearing damage in induction motor is one of the most common fault. The type of bearing damage itself consists of damage to the inner-race, outer-race and ball bearing. The occurrence of this bearing damage may cause increased vibration, temperature rise and may cause damage to the shafts, rotor and stator. To speed up the repair process, bearing damage detection should be classified according to the type of damage occurring. In this study, bearing damage will be detected by transient current analysis using discrete wavelet transform method. To determine the occurrence of damage, processing of transient current signals using discrete wavelet transforms performed by comparing the signal sub-band frequency at normal bearings and during fault. Furthermore, artificial neural networks are used to provide information on classification of types of fault. Analysis of result show that the presentage of successness classification as 100% for inner-race damage, 98% for outter-race damage and 100% for ball bearing damage. With the classification of damage to this bearing, it is expected to simplify and speed up the repair process.
Eva Navasari; Dimas Anton Asfani; I Made Yulistya Negara. Detection Of Induction Motor Bearing Damage With Starting Current Analysis Using Wavelet Discrete Transform And Artificial Neural Network. 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) 2018, 316 -319.
AMA StyleEva Navasari, Dimas Anton Asfani, I Made Yulistya Negara. Detection Of Induction Motor Bearing Damage With Starting Current Analysis Using Wavelet Discrete Transform And Artificial Neural Network. 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE). 2018; ():316-319.
Chicago/Turabian StyleEva Navasari; Dimas Anton Asfani; I Made Yulistya Negara. 2018. "Detection Of Induction Motor Bearing Damage With Starting Current Analysis Using Wavelet Discrete Transform And Artificial Neural Network." 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) , no. : 316-319.