Pub Date : 2017-08-01DOI: 10.1109/ISITIA.2017.8124060
Aswin Rosyadi, O. Penangsang, A. Soeprijanto
Radial Distribution System (RDS) is the most widely used system for power distribution because it has a simple architecture and low investment cost. Due to the addition of nonlinear loads, some challenges are raised such as power losses, and the spread of harmonics. The increasing harmonic distortion will result in shorter insulation lifetime, higher temperature and also device malfunction. These are undesirable as it may affect the voltage profile and increase the power losses. Therefore, to reduce these undesirable impacts, this paper proposes the whale optimization algorithm (WOA) to determine optimal size and placement of passive harmonic filters to reduce power losses and keep the effective harmonic voltage profile and the total harmonic distortion (THD) within prescribed limits. Also, harmonic load flow (HLF) based on backward-forward sweep algorithm is performed to show the effect of harmonic sources on total power loss. The proposed methodology used in this paper can be easily extended to different radial distribution network configurations. The proposed algorithm is validated by applying it on the standard 13-bus test system.
{"title":"Optimal filter placement and sizing in radial distribution system using whale optimization algorithm","authors":"Aswin Rosyadi, O. Penangsang, A. Soeprijanto","doi":"10.1109/ISITIA.2017.8124060","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124060","url":null,"abstract":"Radial Distribution System (RDS) is the most widely used system for power distribution because it has a simple architecture and low investment cost. Due to the addition of nonlinear loads, some challenges are raised such as power losses, and the spread of harmonics. The increasing harmonic distortion will result in shorter insulation lifetime, higher temperature and also device malfunction. These are undesirable as it may affect the voltage profile and increase the power losses. Therefore, to reduce these undesirable impacts, this paper proposes the whale optimization algorithm (WOA) to determine optimal size and placement of passive harmonic filters to reduce power losses and keep the effective harmonic voltage profile and the total harmonic distortion (THD) within prescribed limits. Also, harmonic load flow (HLF) based on backward-forward sweep algorithm is performed to show the effect of harmonic sources on total power loss. The proposed methodology used in this paper can be easily extended to different radial distribution network configurations. The proposed algorithm is validated by applying it on the standard 13-bus test system.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130649912","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124110
Setiawardhana, Rudy Dikairono, T. A. Sardjono, D. Purwanto
Object detection and tracking system has been developed by several researchers. This paper present algorithm for visual ball detection and ball estimation for goalie (goalkeeper) robot. The ball is captured by a camera with a fish-eye lens and processed for detection and tracking. Images from fish-eye camera are curved images. Images are thresholded to Hue Saturation Value (HSV). The system can predict goal area and ball position with multilayer backpropagation neural network (BPNN). The BPNN inputs are x and y axis of the ball. The BPNN outputs are goal area prediction and ball area prediction. The training data is unique segmented area. According to the changes of previous ball distance, the system will predict the direction of the next ball position. The achievement result (unique kernel 3×3, MSE <0.001, 30 samples data) for ball position prediction is 76.67%. The achievement result (unique kernel 3×3, MSE <0.001, 30 samples data) for goal area prediction is 100%.
{"title":"Visual ball tracking and prediction with unique segmented area on soccer robot","authors":"Setiawardhana, Rudy Dikairono, T. A. Sardjono, D. Purwanto","doi":"10.1109/ISITIA.2017.8124110","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124110","url":null,"abstract":"Object detection and tracking system has been developed by several researchers. This paper present algorithm for visual ball detection and ball estimation for goalie (goalkeeper) robot. The ball is captured by a camera with a fish-eye lens and processed for detection and tracking. Images from fish-eye camera are curved images. Images are thresholded to Hue Saturation Value (HSV). The system can predict goal area and ball position with multilayer backpropagation neural network (BPNN). The BPNN inputs are x and y axis of the ball. The BPNN outputs are goal area prediction and ball area prediction. The training data is unique segmented area. According to the changes of previous ball distance, the system will predict the direction of the next ball position. The achievement result (unique kernel 3×3, MSE <0.001, 30 samples data) for ball position prediction is 76.67%. The achievement result (unique kernel 3×3, MSE <0.001, 30 samples data) for goal area prediction is 100%.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"162 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200208","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124057
A. Sahrin, A. Tjahjono, M. Pujiantara, M. Purnomo
The problems arising in loop electrical network system is a relay setting that follows changes in the system such as power source operation, regular maintenance and damage to powers source. To obtain an adaptive relay which is capable of following the changes in the network system, this paper is proposes the modeling of the coordination of the power system network with the cascade forward neural network (CFNN) by simulating three power sources, fifteen protection relays, six buses, and three loads. CFNN applied in the directional overcurrent relay (DOCR) curve model using sample data from protection coordination in loop electrical network system. On the modeling process by comparing some number of neurons and learning rate to get the best accuracy and time speed with four combination input and two outputs. The results of modeling relay using CFNN method showed mean square error of 3,24e-06 with a current contribution of 95% and mean square error of 2,10e-03 with a current contribution of 105% and from modeling is very accurate and can be applied to digital overcurrent relay.
{"title":"The modeling of directional overcurrent relay in loop system using cascade forward neural network","authors":"A. Sahrin, A. Tjahjono, M. Pujiantara, M. Purnomo","doi":"10.1109/ISITIA.2017.8124057","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124057","url":null,"abstract":"The problems arising in loop electrical network system is a relay setting that follows changes in the system such as power source operation, regular maintenance and damage to powers source. To obtain an adaptive relay which is capable of following the changes in the network system, this paper is proposes the modeling of the coordination of the power system network with the cascade forward neural network (CFNN) by simulating three power sources, fifteen protection relays, six buses, and three loads. CFNN applied in the directional overcurrent relay (DOCR) curve model using sample data from protection coordination in loop electrical network system. On the modeling process by comparing some number of neurons and learning rate to get the best accuracy and time speed with four combination input and two outputs. The results of modeling relay using CFNN method showed mean square error of 3,24e-06 with a current contribution of 95% and mean square error of 2,10e-03 with a current contribution of 105% and from modeling is very accurate and can be applied to digital overcurrent relay.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131437221","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124111
Rudy Dikairono, A. Rachman, Setiawardhana, T. A. Sardjono, D. Purwanto
This paper presents a soccer robot simulator which is built base on holonomic wheeled soccer robot platform. The platform is self-made with specifications based on Middle Sized League RoboCup rules. The simulator is built for multi-operating systems that can be run on Windows, Mac or Linux operating system. The use of simulators can speed up the development of algorithms for wheeled soccer robots because algorithmic testing can be done in the simulator before being implemented in actual robots. Time and cost saving are the huge benefits that can be derived from using this simulator. Algorithm A∗ is used for obstacle avoidance testing. The result shows that algorithm programs written in the simulator can be directly implemented into a real soccer robot platform. This simulator has motion planning RMSE equal to 6.5 cm for path planning without obstacle avoidance and RMSE equal to 46.6 cm for path planning with obstacle avoidance algorithm.
{"title":"Motion planning simulator for holonomic robot soccer platform","authors":"Rudy Dikairono, A. Rachman, Setiawardhana, T. A. Sardjono, D. Purwanto","doi":"10.1109/ISITIA.2017.8124111","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124111","url":null,"abstract":"This paper presents a soccer robot simulator which is built base on holonomic wheeled soccer robot platform. The platform is self-made with specifications based on Middle Sized League RoboCup rules. The simulator is built for multi-operating systems that can be run on Windows, Mac or Linux operating system. The use of simulators can speed up the development of algorithms for wheeled soccer robots because algorithmic testing can be done in the simulator before being implemented in actual robots. Time and cost saving are the huge benefits that can be derived from using this simulator. Algorithm A∗ is used for obstacle avoidance testing. The result shows that algorithm programs written in the simulator can be directly implemented into a real soccer robot platform. This simulator has motion planning RMSE equal to 6.5 cm for path planning without obstacle avoidance and RMSE equal to 46.6 cm for path planning with obstacle avoidance algorithm.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122918823","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124068
Duc-Quang Nguyen, X. Nguyen, Tung Lam Du-Hoang
In order to improve stability and power quality of the system, there is an essential role in the rapid detection of grid malfunction, particularly in grids with difficult geographical conditions. This article introduces a method which could quickly delineate short-circuit fault location by establishing the corresponding matrix between nodes on grid and short circuit current value. A 50-nodes local medium-voltage network is calculated. The modeling results will be compared to the value of measurement.
{"title":"A hybrid method to determine the short-circuit location on medium-voltage network: Simulation and measurement","authors":"Duc-Quang Nguyen, X. Nguyen, Tung Lam Du-Hoang","doi":"10.1109/ISITIA.2017.8124068","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124068","url":null,"abstract":"In order to improve stability and power quality of the system, there is an essential role in the rapid detection of grid malfunction, particularly in grids with difficult geographical conditions. This article introduces a method which could quickly delineate short-circuit fault location by establishing the corresponding matrix between nodes on grid and short circuit current value. A 50-nodes local medium-voltage network is calculated. The modeling results will be compared to the value of measurement.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075229","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124055
R. S. Wibowo, Fiona Yolita Purnomo, N. K. Aryani, O. Penangsang
This paper presents a study about optimization in microgrid with energy storage. The development of technology makes it possible for energy storage utilization as solution for energy management problem due to renewable integration. The ability of energy storage to store and supply power can be used to solve intermittency problem of renewable energy. Furthermore, the possibility of energy storage integration to make profit is researched deeper by considering charging and discharging cost. The DC Optimal Power Flow calculation is done to optimize the system with energy storage using Mixed-Integer Quadratic Programming. The output of this research are generation power and energy storage power in each period with minimum generation cost and the effect of different charging and discharging cost towards it.
{"title":"Dynamic OPF considering different charging and discharging cost of energy storage using mixed-integer quadratic programming","authors":"R. S. Wibowo, Fiona Yolita Purnomo, N. K. Aryani, O. Penangsang","doi":"10.1109/ISITIA.2017.8124055","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124055","url":null,"abstract":"This paper presents a study about optimization in microgrid with energy storage. The development of technology makes it possible for energy storage utilization as solution for energy management problem due to renewable integration. The ability of energy storage to store and supply power can be used to solve intermittency problem of renewable energy. Furthermore, the possibility of energy storage integration to make profit is researched deeper by considering charging and discharging cost. The DC Optimal Power Flow calculation is done to optimize the system with energy storage using Mixed-Integer Quadratic Programming. The output of this research are generation power and energy storage power in each period with minimum generation cost and the effect of different charging and discharging cost towards it.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115348173","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124059
Firilia Filiana, A. Priyadi, M. Purnomo, N. Yorino
Short circuit in the power system can lead problems in term of stability system. Transient stability becomes the main focus because it can determine the critical clearing time (CCT) to find critical time before generator loss of synchronization. The Critical trajectory method can be used to determine trajectory from the disturbance occurs to just before the generator loses its synchronization. The generator to be analyzed is a critical generator or generator with the biggest energy value. This causes the number of variables to equal the number of equations and can accelerate the calculation process. The method tested on the system with single line and radial system configuration. In the test results, it is seen that this method produces the correct CCT value by using Time Domain Simulation method as a comparison.
{"title":"Critical trajectory method for calculating CCT considering radial and single circuit systems","authors":"Firilia Filiana, A. Priyadi, M. Purnomo, N. Yorino","doi":"10.1109/ISITIA.2017.8124059","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124059","url":null,"abstract":"Short circuit in the power system can lead problems in term of stability system. Transient stability becomes the main focus because it can determine the critical clearing time (CCT) to find critical time before generator loss of synchronization. The Critical trajectory method can be used to determine trajectory from the disturbance occurs to just before the generator loses its synchronization. The generator to be analyzed is a critical generator or generator with the biggest energy value. This causes the number of variables to equal the number of equations and can accelerate the calculation process. The method tested on the system with single line and radial system configuration. In the test results, it is seen that this method produces the correct CCT value by using Time Domain Simulation method as a comparison.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133244372","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124074
D. A. Asfani, I. M. Y. Negara, D. Fahmi, Rifki Wiryatama, Muhammad Wildan Arinal Haq, M. Wahyudi
Short circuit fault cause arcing fault initiate fire accident. Fire case caused by short circuit fault in low voltage installation is occured every year. Several cases in fire accident at low voltage installation caused by short circuit fault. In this case, protection equipment failed to detect and secure the installation. This experiment investigate short circuit case at low voltage filament conductor cable 1.5 mm2. Short circuit cases variated by filament or strand that experienced contact. When short circuit occurred, arcing is recorded by thermal camera. Moreover, current and voltage arcing will be synchronized with thermal arcing image. The synchronization result is analyzed to obtain the caharacteristics of arcing that consist of value of maximum temperature arcing, sectional area arcing data, and duration of arcing. These characteristics are very useful to design arcing fault detector. The result shows that the arcing temperature, area, and duration respectively are up to 100 °C, 1300 mm2, 10 seconds.
{"title":"Analysis of low voltage arcing characteristic on direct short circuit through arcing thermal synchronization sensing and short circuit current","authors":"D. A. Asfani, I. M. Y. Negara, D. Fahmi, Rifki Wiryatama, Muhammad Wildan Arinal Haq, M. Wahyudi","doi":"10.1109/ISITIA.2017.8124074","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124074","url":null,"abstract":"Short circuit fault cause arcing fault initiate fire accident. Fire case caused by short circuit fault in low voltage installation is occured every year. Several cases in fire accident at low voltage installation caused by short circuit fault. In this case, protection equipment failed to detect and secure the installation. This experiment investigate short circuit case at low voltage filament conductor cable 1.5 mm2. Short circuit cases variated by filament or strand that experienced contact. When short circuit occurred, arcing is recorded by thermal camera. Moreover, current and voltage arcing will be synchronized with thermal arcing image. The synchronization result is analyzed to obtain the caharacteristics of arcing that consist of value of maximum temperature arcing, sectional area arcing data, and duration of arcing. These characteristics are very useful to design arcing fault detector. The result shows that the arcing temperature, area, and duration respectively are up to 100 °C, 1300 mm2, 10 seconds.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131058615","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124062
O. Penangsang, D. F. U. Putra, Taufani Kurniawan
Distributed generations play important role for power quality such as losses reduction, voltage profile and reliability improvement. However on its implementation, to obtain optimal solution installation DG have to be planned properly. Hence, it is important to determine optimal location and size of DG during the planning of active distribution system to achieve minimum losses. This paper proposes the DG placement and sizing technique using K-Means Clustering method. Clustering based technique is used to determine optimal location of DG based on Loss Sensitivity Factor (LSF) and bus voltage. Once optimal location is obtained then analytical approach is used to determine optimal size of DG. The proposed method is tested on IEEE 33 bus and 69 bus radial distribution system to verify its performance on obtaining optimal DG placement and sizing for losses reduction. The result on IEEE 33 bus system shows that the proposed method obtain 87,5% losses reduction, better than 76,77% loss reduction obtained by LSF priority list method. While result on IEEE 69 bus system shows that the proposed method obtain 69,84% losses reduction, better than 65,95% loss reduction obtained by LSF priority list method.
{"title":"Optimal placement and sizing of distributed generation in radial distribution system using K-means clustering method","authors":"O. Penangsang, D. F. U. Putra, Taufani Kurniawan","doi":"10.1109/ISITIA.2017.8124062","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124062","url":null,"abstract":"Distributed generations play important role for power quality such as losses reduction, voltage profile and reliability improvement. However on its implementation, to obtain optimal solution installation DG have to be planned properly. Hence, it is important to determine optimal location and size of DG during the planning of active distribution system to achieve minimum losses. This paper proposes the DG placement and sizing technique using K-Means Clustering method. Clustering based technique is used to determine optimal location of DG based on Loss Sensitivity Factor (LSF) and bus voltage. Once optimal location is obtained then analytical approach is used to determine optimal size of DG. The proposed method is tested on IEEE 33 bus and 69 bus radial distribution system to verify its performance on obtaining optimal DG placement and sizing for losses reduction. The result on IEEE 33 bus system shows that the proposed method obtain 87,5% losses reduction, better than 76,77% loss reduction obtained by LSF priority list method. While result on IEEE 69 bus system shows that the proposed method obtain 69,84% losses reduction, better than 65,95% loss reduction obtained by LSF priority list method.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133249479","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 : 2017-08-01DOI: 10.1109/ISITIA.2017.8124072
I. M. Y. Negara, D. Fahmi, D. A. Asfani, I. S. Hernanda, Ayyub Dhimastara Aji
This study deals with estimation of residual flux in 1 kVA 1-phase transformer. Transformers used in the study have two type core cutting topology. The transformers were modeled with MATLAB software and then simulated to obtained inrush current. Experiments were also done in order to obtain its inrush current with different demagnetization time. The result showed a difference between simulated inrush current result and experimental result, which influenced by the existing residual flux and not yet disappeared during demagnetization process on the core of the single-phase transformer. The result shows that different core cutting topology affects the residual flux as well as the time of demagnetization.
{"title":"Estimation of residual flux in single phase transformer using dynamic modeling of two winding single phase transformer","authors":"I. M. Y. Negara, D. Fahmi, D. A. Asfani, I. S. Hernanda, Ayyub Dhimastara Aji","doi":"10.1109/ISITIA.2017.8124072","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124072","url":null,"abstract":"This study deals with estimation of residual flux in 1 kVA 1-phase transformer. Transformers used in the study have two type core cutting topology. The transformers were modeled with MATLAB software and then simulated to obtained inrush current. Experiments were also done in order to obtain its inrush current with different demagnetization time. The result showed a difference between simulated inrush current result and experimental result, which influenced by the existing residual flux and not yet disappeared during demagnetization process on the core of the single-phase transformer. The result shows that different core cutting topology affects the residual flux as well as the time of demagnetization.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260975","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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