Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710773
T. P. Sari, A. Priyadi, M. Pujiantara, N. Yorino, M. Purnomo
Transient Stability Assessment (TSA) in electrical power system is one of the main aspects to achieve continuity and reliability of the system due to the changing of the load and the interconnection of the system become more complex. Meanwhile, the protection system has to be accurate in isolating the disturbance. Critical Clearing Time (CCT) became the main issues to determine the stability of the system after a disturbance happened. Critical Trajectory is a method to obtain CCT which is accurate and has faster calculation than other methods. In addition, Super Capacitor Energy Storage (SCES) is one of the reliable energy storages to store and supply massive electric power simultaneously. It is suitable with the nonlinearity pattern of transient stability. In order to improve the value of CCT, SCES is installed in the system. This proposed method is tested using IEEE 3-machine 9-bus system. The simulation result shows that the proposed method gives higher value of CCT in average range 0.0143s. It means the operation time of protection system is longer and it also has a longer time when a failure in protection system occur. As a result, the system will remain stable after a disturbance happen and it can improve transient stability of the system.
电力系统暂态稳定评估(TSA)是实现系统连续性和可靠性的主要方面之一，由于负荷的变化和系统的互联变得更加复杂。同时，保护系统必须能够准确地隔离干扰。关键清除时间(Critical Clearing Time, CCT)是影响系统稳定性的主要因素。临界轨迹法是一种计算速度快、精度高的CCT计算方法。此外，超级电容器储能(SCES)是同时存储和供应大量电力的可靠储能方式之一。它适用于暂态稳定的非线性模式。为了提高CCT的价值，在系统中安装了SCES。该方法在IEEE 3机9总线系统上进行了测试。仿真结果表明，该方法在0.0143s的平均范围内获得了较高的CCT值。即保护系统的运行时间更长，保护系统发生故障的时间也更长。这样可以使系统在扰动发生后保持稳定，提高系统的暂态稳定性。
{"title":"Improving Transient Stability Assessment by Installing Super Capacitor Energy Storage using Critical Trajectory Method based on Modified Losing Synchronism","authors":"T. P. Sari, A. Priyadi, M. Pujiantara, N. Yorino, M. Purnomo","doi":"10.1109/ISITIA.2018.8710773","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710773","url":null,"abstract":"Transient Stability Assessment (TSA) in electrical power system is one of the main aspects to achieve continuity and reliability of the system due to the changing of the load and the interconnection of the system become more complex. Meanwhile, the protection system has to be accurate in isolating the disturbance. Critical Clearing Time (CCT) became the main issues to determine the stability of the system after a disturbance happened. Critical Trajectory is a method to obtain CCT which is accurate and has faster calculation than other methods. In addition, Super Capacitor Energy Storage (SCES) is one of the reliable energy storages to store and supply massive electric power simultaneously. It is suitable with the nonlinearity pattern of transient stability. In order to improve the value of CCT, SCES is installed in the system. This proposed method is tested using IEEE 3-machine 9-bus system. The simulation result shows that the proposed method gives higher value of CCT in average range 0.0143s. It means the operation time of protection system is longer and it also has a longer time when a failure in protection system occur. As a result, the system will remain stable after a disturbance happen and it can improve transient stability of the system.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116964231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711207
Daniel Kristianto Haryono, D. Purwanto, Hendra Kusuma
We as human possess many great abilities and one of them comes from our vision. Through our vision alone we can obtain a lot of information namely object's identity, faces, events, or even combining partial images to form a complete image. Many researches have been done to replicate our vision in machines, and that is because a scene can contain a lot of information. In this study we are interested in obtaining heading information from sequence of images captured by a camera. There exist many ways to obtain heading information such as by using gyroscope or compass sensors, each with its own advantages and weaknesses. By using a camera, mechanical limitations which will disrupt the measurement of heading, such as wheel slippage, uneven terrain, and tilt can be avoided. With this proposed algorithm, heading can be calculated solely from the sequence of images. The results of our experiment show that heading can be calculated with an average of absolute error of 1.23078° in outdoor environment, and 1.02368° in indoor environment.
{"title":"Heading Calculation from Sequence of Images Based on Corner Feature Detection and Optical Flow Algorithm","authors":"Daniel Kristianto Haryono, D. Purwanto, Hendra Kusuma","doi":"10.1109/ISITIA.2018.8711207","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711207","url":null,"abstract":"We as human possess many great abilities and one of them comes from our vision. Through our vision alone we can obtain a lot of information namely object's identity, faces, events, or even combining partial images to form a complete image. Many researches have been done to replicate our vision in machines, and that is because a scene can contain a lot of information. In this study we are interested in obtaining heading information from sequence of images captured by a camera. There exist many ways to obtain heading information such as by using gyroscope or compass sensors, each with its own advantages and weaknesses. By using a camera, mechanical limitations which will disrupt the measurement of heading, such as wheel slippage, uneven terrain, and tilt can be avoided. With this proposed algorithm, heading can be calculated solely from the sequence of images. The results of our experiment show that heading can be calculated with an average of absolute error of 1.23078° in outdoor environment, and 1.02368° in indoor environment.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124661382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711161
Dwi Nur Fitriyanah, I. Abadi
One of the new renewable energy types is solar energy. Solar energy can be converted into electrical energy through photovoltaic. In order for the intensity of sunlight is received by the photovoltaic more leverage, so that made the solar tracker system with two axes. Solar tracking system control the pitch and yaw angle that can drive a DC motor. Optimize error and delta error on sun tracking system based on fuzzy logic. The boundaries of fuzzy are optimized using the Bacterial Foraging Optimization (BFO) method. Mobile PV using fuzzy control and BFO has better performance than Fuzzy Logic Controller with an efficiency increase by 0.4%.
{"title":"Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization","authors":"Dwi Nur Fitriyanah, I. Abadi","doi":"10.1109/ISITIA.2018.8711161","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711161","url":null,"abstract":"One of the new renewable energy types is solar energy. Solar energy can be converted into electrical energy through photovoltaic. In order for the intensity of sunlight is received by the photovoltaic more leverage, so that made the solar tracker system with two axes. Solar tracking system control the pitch and yaw angle that can drive a DC motor. Optimize error and delta error on sun tracking system based on fuzzy logic. The boundaries of fuzzy are optimized using the Bacterial Foraging Optimization (BFO) method. Mobile PV using fuzzy control and BFO has better performance than Fuzzy Logic Controller with an efficiency increase by 0.4%.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122618795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711090
Mudjahidin, J. L. Buliali, M. N. Yuniarto
In this paper, we compute a dynamic of reliability, average reliability, availability, maintainability, and supportability (RARAMS) of enterprise services and their relationship to the demands. Therefore, we propose a dynamic simulation model that forms a closed system, contains negative feedback and time delay. The closed system is formed by the effect of the average reliability to demand. Next, negative feedback is due to the opposite relationship between service time of demand fulfillment and reliability of services. Based on these characteristics, we use system dynamics simulation approach to run the model so that the model results in the dynamic behavior of both RAMS of enterprise services and demands.
{"title":"A model of reliability, average reliability, availability, maintainability and supportability for services with system dynamics approach","authors":"Mudjahidin, J. L. Buliali, M. N. Yuniarto","doi":"10.1109/ISITIA.2018.8711090","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711090","url":null,"abstract":"In this paper, we compute a dynamic of reliability, average reliability, availability, maintainability, and supportability (RARAMS) of enterprise services and their relationship to the demands. Therefore, we propose a dynamic simulation model that forms a closed system, contains negative feedback and time delay. The closed system is formed by the effect of the average reliability to demand. Next, negative feedback is due to the opposite relationship between service time of demand fulfillment and reliability of services. Based on these characteristics, we use system dynamics simulation approach to run the model so that the model results in the dynamic behavior of both RAMS of enterprise services and demands.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710895
I. M. Yulistya Negara, I. G. Ngurah Satriyadi Hernanda, D. A. Asfani, D. Fahmi, M. Wahyudi, Reno Hidayat
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.
{"title":"Comparison of Ferroresonance Response on Three Phases Transformer with Different Core Material: M5 and ZDKH","authors":"I. M. Yulistya Negara, I. G. Ngurah Satriyadi Hernanda, D. A. Asfani, D. Fahmi, M. Wahyudi, Reno Hidayat","doi":"10.1109/ISITIA.2018.8710895","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710895","url":null,"abstract":"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.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127806454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711155
Muhamad Rudiansyah, T. A. Sardjono, R. Mardiyanto
Segmentation of Intracerebral Hemorrhagic Strokes from Brain CT Image is a process of segmenting homogenous area to measure its volume. The purpose of this paper is to calculated the ROI area from ICH bleeding, the results then are compared with the results of CT Scan area. The process used DICOM image with Gradient Vector Flow (GVF) Snake method. DICOM image shows the pixel area; therefore, by calculating the resulted area from the segmentation, the homogenous area or the bleeding area of intracerebral hemorrhagic (ICH) ca be determined. GVF Snake method is a type of active contours that can be used for bleeding segmentation. The formulated constants for image are σ=5, µ=0.1, GVF Iteration=40, α=0.05, ß=0, y=5, k=5, and Snake Iteration = 40. The result of ROI GVF Snake area is compared with ROI area from the CT-Scan, with the similarity of 79.937%.
{"title":"Segmentation of the Intracerebral Hemorrhagic Strokes (Bleeds) from Brain CT Image Based on GVF Snake","authors":"Muhamad Rudiansyah, T. A. Sardjono, R. Mardiyanto","doi":"10.1109/ISITIA.2018.8711155","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711155","url":null,"abstract":"Segmentation of Intracerebral Hemorrhagic Strokes from Brain CT Image is a process of segmenting homogenous area to measure its volume. The purpose of this paper is to calculated the ROI area from ICH bleeding, the results then are compared with the results of CT Scan area. The process used DICOM image with Gradient Vector Flow (GVF) Snake method. DICOM image shows the pixel area; therefore, by calculating the resulted area from the segmentation, the homogenous area or the bleeding area of intracerebral hemorrhagic (ICH) ca be determined. GVF Snake method is a type of active contours that can be used for bleeding segmentation. The formulated constants for image are σ=5, µ=0.1, GVF Iteration=40, α=0.05, ß=0, y=5, k=5, and Snake Iteration = 40. The result of ROI GVF Snake area is compared with ROI area from the CT-Scan, with the similarity of 79.937%.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"4311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134009034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711089
Nugraha Agung Wibowo, V. R. Mahindara, A. Priyadi, M. Pujiantara, M. Purnomo
Over current relay application on indutry requires some setting parameters such as pick up current (Ip), time dial setting (TDS), and operating time (top). There are some standards that stated the restrictions and formulations to determining those parameters. One of the problems is to determine the TDS on inverse relay (ANSI Code 51). Generally, the determination of TDS value is done by trial and error method, it is considered less effective so it is proposed a new method in determining TDS on real plant electrical system with radial topology system. Artificial Intelligent is used to determine TDS for protection relay and hopefully able to solve the problem in order to improve the effectiveness by considering the load constraint during optimization.
{"title":"Optimization of Overcurrent Relay Operation Using Artificial Intelligent on Radial Topology with Load Constraint","authors":"Nugraha Agung Wibowo, V. R. Mahindara, A. Priyadi, M. Pujiantara, M. Purnomo","doi":"10.1109/ISITIA.2018.8711089","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711089","url":null,"abstract":"Over current relay application on indutry requires some setting parameters such as pick up current (Ip), time dial setting (TDS), and operating time (top). There are some standards that stated the restrictions and formulations to determining those parameters. One of the problems is to determine the TDS on inverse relay (ANSI Code 51). Generally, the determination of TDS value is done by trial and error method, it is considered less effective so it is proposed a new method in determining TDS on real plant electrical system with radial topology system. Artificial Intelligent is used to determine TDS for protection relay and hopefully able to solve the problem in order to improve the effectiveness by considering the load constraint during optimization.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711156
M. Widagda, T. A. Sardjono, R. Mardiyanto
Advanced stage laryngeal cancer patients have to undergo larynx removal surgery. Laryngeal retraction is done by laryngeal surgery. After the surgery, the laryngeal patients will lose the vocal cords and thus lose the ability to produce permanent sound. For post-laryngectomy patients, sound rehabilitation is necessary to able to conduct communication in other ways. There are 3 (three) ways of sound rehabilitation, namely esophageal speech, tracheoesophageal and electrolarynx. Sound has two kinds of intonation, namely high and low intonation that are used to emphasize certain words within sentences. Intonation also consists of three types of intonation, namely: dynamic pressure (low strong), tone pressure (high), and tempo pressure. The result will be used as the parameter to determine the start and the end of the sound. Electrolarynx is one of the tools used by the patient to talk in post-laryngectomy. In the previous research, electrolarynx prototype development is still needed to be improved, so that the optimal results to help human to be able to speak could be achieved. This research will describe the design of intonation control in electrolarynx using electromyograph sensor to raise human voice intonation in larynx (no larynx) and mute (deaf or speech impaired) in order not to sound monotone.
{"title":"Design of Intonation Control on Electrolarynx Using Electromyograph (EMG)","authors":"M. Widagda, T. A. Sardjono, R. Mardiyanto","doi":"10.1109/ISITIA.2018.8711156","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711156","url":null,"abstract":"Advanced stage laryngeal cancer patients have to undergo larynx removal surgery. Laryngeal retraction is done by laryngeal surgery. After the surgery, the laryngeal patients will lose the vocal cords and thus lose the ability to produce permanent sound. For post-laryngectomy patients, sound rehabilitation is necessary to able to conduct communication in other ways. There are 3 (three) ways of sound rehabilitation, namely esophageal speech, tracheoesophageal and electrolarynx. Sound has two kinds of intonation, namely high and low intonation that are used to emphasize certain words within sentences. Intonation also consists of three types of intonation, namely: dynamic pressure (low strong), tone pressure (high), and tempo pressure. The result will be used as the parameter to determine the start and the end of the sound. Electrolarynx is one of the tools used by the patient to talk in post-laryngectomy. In the previous research, electrolarynx prototype development is still needed to be improved, so that the optimal results to help human to be able to speak could be achieved. This research will describe the design of intonation control in electrolarynx using electromyograph sensor to raise human voice intonation in larynx (no larynx) and mute (deaf or speech impaired) in order not to sound monotone.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128224725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8710896
A. F. Desanti, I. Sidharta, Hendry Erwantono, D. A. Asfani, H. Suryoatmojo, M. Wahyudi
The electric scooter needs a controller to drive and control a brushless direct current (BLDC) motor. To design a controller, the designer needs some motor parameters that may not be provided by the manufacturer. This paper presented a design of performance and parameter measurement system for BLDC in electric scooter application. The investigated parameters were stator resistance, stator inductance, battery current, Back Electromotive Force (BEMF) constant, speed, torque constant, inertia moment, and friction. To obtain these parameters, a microcontroller was used to process some output signals from voltage, speed, current, resistance, and inductance sensor. Resistance and inductance were tested before the motor was operated. The motor was then given a unit step. During 5 seconds of motor running, the microcontroller recorded speed and current data. After that, the motor was unpowered. Later, the microcontroller recorded speed and back EMF voltage on each motor phase. The results revealed that the proposed system could measure the main motor parameters, such as 0.078 ohm of stator resistance, 76.52 µH of stator inductance, 20.28 volt/krpm of back EMF constant, 0.1936 Nm/A of torque constant, 0.0174 Nms of friction, and 0.0471 kgm2,
{"title":"Design of Performance and Parameter Measurement System for Brushless Direct Current (BLDC) Motor","authors":"A. F. Desanti, I. Sidharta, Hendry Erwantono, D. A. Asfani, H. Suryoatmojo, M. Wahyudi","doi":"10.1109/ISITIA.2018.8710896","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8710896","url":null,"abstract":"The electric scooter needs a controller to drive and control a brushless direct current (BLDC) motor. To design a controller, the designer needs some motor parameters that may not be provided by the manufacturer. This paper presented a design of performance and parameter measurement system for BLDC in electric scooter application. The investigated parameters were stator resistance, stator inductance, battery current, Back Electromotive Force (BEMF) constant, speed, torque constant, inertia moment, and friction. To obtain these parameters, a microcontroller was used to process some output signals from voltage, speed, current, resistance, and inductance sensor. Resistance and inductance were tested before the motor was operated. The motor was then given a unit step. During 5 seconds of motor running, the microcontroller recorded speed and current data. After that, the motor was unpowered. Later, the microcontroller recorded speed and back EMF voltage on each motor phase. The results revealed that the proposed system could measure the main motor parameters, such as 0.078 ohm of stator resistance, 76.52 µH of stator inductance, 20.28 volt/krpm of back EMF constant, 0.1936 Nm/A of torque constant, 0.0174 Nms of friction, and 0.0471 kgm2,","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/ISITIA.2018.8711265
Aggie Brenda Vernandez, D. Riawan, D. A. Asfani
Distribution resource in grid-connected system needs an inverter as its power convertion tool. This paper presents a single phase current source inverter with a control technique based on Clark-Park transformation, so that the active power inverter can be controlled and it also has adjustable reactive power support. The inverter is equipped with protection of anti-islanding method. The result has done under simulation using MATLAB/Simulink and shows that the occurrence of islanding can be detected by transform the voltage at Point of Common Coupling by processing using Discrete Wavelet Transformation. The detection time vary depend on the type of load when islanding occurred.
{"title":"Islanding Detection on Grid-Connected Current Source Inverter Based on Discrete Wavelet Transformation","authors":"Aggie Brenda Vernandez, D. Riawan, D. A. Asfani","doi":"10.1109/ISITIA.2018.8711265","DOIUrl":"https://doi.org/10.1109/ISITIA.2018.8711265","url":null,"abstract":"Distribution resource in grid-connected system needs an inverter as its power convertion tool. This paper presents a single phase current source inverter with a control technique based on Clark-Park transformation, so that the active power inverter can be controlled and it also has adjustable reactive power support. The inverter is equipped with protection of anti-islanding method. The result has done under simulation using MATLAB/Simulink and shows that the occurrence of islanding can be detected by transform the voltage at Point of Common Coupling by processing using Discrete Wavelet Transformation. The detection time vary depend on the type of load when islanding occurred.","PeriodicalId":388463,"journal":{"name":"2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122404782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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