Pub Date : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803416
D. Perepelkin, Tin Nguyen
Software defined network (SDN) is a cloud computing-oriented approach, that centralizes network device administration, facilitates network management and enables efficient network configuration by software programs to improve performance and enhance network monitoring. In SDN network administrators can shape traffic from a centralized controller without having to set it up on each individual device in the network. The SDN controller can receive information about the links in real-time, as well as distribute and transmit network traffic according to the current network. The aim of this work is research and analysis of multipath routing and load balancing processes in SDN based on artificial bee colony algorithm. In theoretical part an algorithm for multipath routing and load balancing in the SDN based on the model of an artificial bee colony is proposed. In experimental part the simulation results are showed that confirm the effectiveness of the proposed algorithm for solving the problem of multipath routing by avoiding congestion of routes and increasing the planned volume of data packet transmission along all available routes.
{"title":"Research of Multipath Routing and Load Balancing Processes in Software Defined Networks Based on Artificial Bee Colony Algorithm","authors":"D. Perepelkin, Tin Nguyen","doi":"10.1109/ELEKTRO53996.2022.9803416","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803416","url":null,"abstract":"Software defined network (SDN) is a cloud computing-oriented approach, that centralizes network device administration, facilitates network management and enables efficient network configuration by software programs to improve performance and enhance network monitoring. In SDN network administrators can shape traffic from a centralized controller without having to set it up on each individual device in the network. The SDN controller can receive information about the links in real-time, as well as distribute and transmit network traffic according to the current network. The aim of this work is research and analysis of multipath routing and load balancing processes in SDN based on artificial bee colony algorithm. In theoretical part an algorithm for multipath routing and load balancing in the SDN based on the model of an artificial bee colony is proposed. In experimental part the simulation results are showed that confirm the effectiveness of the proposed algorithm for solving the problem of multipath routing by avoiding congestion of routes and increasing the planned volume of data packet transmission along all available routes.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007609","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803643
P. Belány, P. Hrabovský, Katarina Bednarcikova, Z. Kolková, N. Kantová
Nowadays, there is a lot of pressure to adopt environmentally friendly energy sources like natural renewable energy. However, its instability and dependency on a variety of factors make their application a challenge. With the deployment of new technological systems, this unpredictability can be eliminated and their utilization maximized. This article discusses the possibility of using an artificially network to predict heat generation in a photovoltaic power plant. A Matlab script that creates a simple neural network serves as the foundation for the prediction model. The function fitting neural network is created using a backpropagation technique based on the Levenberg-Marquardt optimization. Because of the rapid response of the technique, it is suitable for basic predictions using fast computation speed. A simple artificial neural network based on the aforementioned approach is built in a publication. Created network is trained, tested, and validated on input and measured data. The constructed network is utilized as a prediction of heat generation after the results have been validated. The predictions' outcomes assist us to optimize consumption. This feature allows decreasing energy consumption from an external source. The utilization of a local source and optimization based on neural networks increase building energy efficiency The second important benefit is a decrease in the environmental impact and total carbon footprint of buildings.
{"title":"Domestic Hot Water Heating Prediction with the Utilization of Artificial Neural Network","authors":"P. Belány, P. Hrabovský, Katarina Bednarcikova, Z. Kolková, N. Kantová","doi":"10.1109/ELEKTRO53996.2022.9803643","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803643","url":null,"abstract":"Nowadays, there is a lot of pressure to adopt environmentally friendly energy sources like natural renewable energy. However, its instability and dependency on a variety of factors make their application a challenge. With the deployment of new technological systems, this unpredictability can be eliminated and their utilization maximized. This article discusses the possibility of using an artificially network to predict heat generation in a photovoltaic power plant. A Matlab script that creates a simple neural network serves as the foundation for the prediction model. The function fitting neural network is created using a backpropagation technique based on the Levenberg-Marquardt optimization. Because of the rapid response of the technique, it is suitable for basic predictions using fast computation speed. A simple artificial neural network based on the aforementioned approach is built in a publication. Created network is trained, tested, and validated on input and measured data. The constructed network is utilized as a prediction of heat generation after the results have been validated. The predictions' outcomes assist us to optimize consumption. This feature allows decreasing energy consumption from an external source. The utilization of a local source and optimization based on neural networks increase building energy efficiency The second important benefit is a decrease in the environmental impact and total carbon footprint of buildings.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"27 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126053161","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803452
R. Radil, Marek Bajtoš, Lucia Čarnecká, Klaudia Hargašová, P. Kamencay
The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments.
{"title":"Numerical approach to design of low frequency magnetic field irradiation system for lab on chip experiments","authors":"R. Radil, Marek Bajtoš, Lucia Čarnecká, Klaudia Hargašová, P. Kamencay","doi":"10.1109/ELEKTRO53996.2022.9803452","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803452","url":null,"abstract":"The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124611601","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803735
M. Beňová, Frederika Bačová, Andrea Cikaiova
The results of electromagnetic (EM) field simulations compared to real EM field measurements of human exposure to EM field by mobile phone inside different shielded spaces are presented in this paper. The simulations were done for specific shielded space using PIFA antenna as a specific microwave EM source. The measurements were performed in those cases where people were exposed to long-term EM field generated by cell phones during ongoing phone call via Safe and Sound Pro II professional EMF measuring device.
本文介绍了人体在不同屏蔽空间内使用手机暴露于电磁场的电磁场模拟结果与实际电磁场测量结果的对比。采用PIFA天线作为特定的微波电磁源，对特定的屏蔽空间进行了仿真。这些测量是在人们在打电话时长期暴露于手机产生的电磁场的情况下，通过Safe and Sound Pro II专业电磁场测量设备进行的。
{"title":"The EM Field Investigation of Specific Microwave Sources in Specific Areas","authors":"M. Beňová, Frederika Bačová, Andrea Cikaiova","doi":"10.1109/ELEKTRO53996.2022.9803735","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803735","url":null,"abstract":"The results of electromagnetic (EM) field simulations compared to real EM field measurements of human exposure to EM field by mobile phone inside different shielded spaces are presented in this paper. The simulations were done for specific shielded space using PIFA antenna as a specific microwave EM source. The measurements were performed in those cases where people were exposed to long-term EM field generated by cell phones during ongoing phone call via Safe and Sound Pro II professional EMF measuring device.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114794379","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803602
P. Pečínka, S. Kocman, V. Pečínková
This paper focuses on the use of FEM modeling applied to an induction machine for specific case from practice. A induction machine with squirrel rotor cage is most commonly used by a rotating electric machine in all industries. Its indisputable advantage is a relatively low purchase price, low costs and easy maintenance. Another significant advantage is the ability to power in direct online supply in less demanding applications and ability to power supply in variable speed drive mode for demanding applications. The motor must be designed correctly for proper operation. One of the very important parameters are its start-up parameters and its relationship to the driven equipment. This paper therefore deals mainly with the optimization of the rotor shape and number of rotor shapes with respect to the parameters of the speed - torque characteristic. The main reason for the creation of this paper is that during the development of motors, was a problem with the value of the starting torque. Specially we found problem by eight pole motors and therefore this problem is solved in the following text, when FEM modeling is used for its solution.
{"title":"Use of FEM modeling to optimize the design of induction motor","authors":"P. Pečínka, S. Kocman, V. Pečínková","doi":"10.1109/ELEKTRO53996.2022.9803602","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803602","url":null,"abstract":"This paper focuses on the use of FEM modeling applied to an induction machine for specific case from practice. A induction machine with squirrel rotor cage is most commonly used by a rotating electric machine in all industries. Its indisputable advantage is a relatively low purchase price, low costs and easy maintenance. Another significant advantage is the ability to power in direct online supply in less demanding applications and ability to power supply in variable speed drive mode for demanding applications. The motor must be designed correctly for proper operation. One of the very important parameters are its start-up parameters and its relationship to the driven equipment. This paper therefore deals mainly with the optimization of the rotor shape and number of rotor shapes with respect to the parameters of the speed - torque characteristic. The main reason for the creation of this paper is that during the development of motors, was a problem with the value of the starting torque. Specially we found problem by eight pole motors and therefore this problem is solved in the following text, when FEM modeling is used for its solution.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126535742","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 : 2022-05-23DOI: 10.1109/elektro53996.2022.9803469
M. Gutten, D. Korenčiak, Viktor Cefer, Martin Karman
This paper is focused on the description of the suggested and realized diagnostic system for oil or dry distribution transformers 22/0.4 kV in test room for check of repair machines to 1 MVA. The introductory part of the paper describes the design solving of the diagnostic system from the point of view its control and measuring part for control, source and analysis of repaired high-voltage machines. In the next part, the description of the short-circuit measurement method using the source and measuring part and automated control using its software of the diagnostic system program is selected. In the last part of the paper is described how it is possible to increase the accuracy of short-circuit percentage impedance measurement thanks to a highly precision automated diagnostic system.
{"title":"Use of diagnostic system for analysis of mechanical condition of transformers winding","authors":"M. Gutten, D. Korenčiak, Viktor Cefer, Martin Karman","doi":"10.1109/elektro53996.2022.9803469","DOIUrl":"https://doi.org/10.1109/elektro53996.2022.9803469","url":null,"abstract":"This paper is focused on the description of the suggested and realized diagnostic system for oil or dry distribution transformers 22/0.4 kV in test room for check of repair machines to 1 MVA. The introductory part of the paper describes the design solving of the diagnostic system from the point of view its control and measuring part for control, source and analysis of repaired high-voltage machines. In the next part, the description of the short-circuit measurement method using the source and measuring part and automated control using its software of the diagnostic system program is selected. In the last part of the paper is described how it is possible to increase the accuracy of short-circuit percentage impedance measurement thanks to a highly precision automated diagnostic system.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127934678","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803355
R. Vrskova, R. Hudec, P. Kamencay, P. Sykora
Recognizing various abnormal activities of human behavior from video is very challenging. The overall results are affected by the available data-sets. The available data-sets contain various abnormal activities, but few of them focus mainly on non-standard human behavior. In data-sets such as KTH, they focus on abnormal activities such as a sudden change in behavior or an object occurrence where it should not occur but also various changes in human interaction. The UCF-crime data-set focuses on data that are more interesting to us, such as fight, abuse, explosions or robbery etc. However, the data-set is very demanding due to the videos length, which contains a given event in just a few seconds. This may affect the overall results of the algorithm used to detect the incident. In this paper, we create a data-set dealing with abnormal activities such as robbery, fight, hijack, harassment and a normal videos. We use the created data-set when training and testing the neural network ConvLSTM (Convolutional Long Short-Term Memory). We have obtained a classification accuracy of 97.64 % on the created data-set and used architecture of neural network.
{"title":"Recognition of Human Activity and Abnormal Behavior using Deep Neural Network","authors":"R. Vrskova, R. Hudec, P. Kamencay, P. Sykora","doi":"10.1109/ELEKTRO53996.2022.9803355","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803355","url":null,"abstract":"Recognizing various abnormal activities of human behavior from video is very challenging. The overall results are affected by the available data-sets. The available data-sets contain various abnormal activities, but few of them focus mainly on non-standard human behavior. In data-sets such as KTH, they focus on abnormal activities such as a sudden change in behavior or an object occurrence where it should not occur but also various changes in human interaction. The UCF-crime data-set focuses on data that are more interesting to us, such as fight, abuse, explosions or robbery etc. However, the data-set is very demanding due to the videos length, which contains a given event in just a few seconds. This may affect the overall results of the algorithm used to detect the incident. In this paper, we create a data-set dealing with abnormal activities such as robbery, fight, hijack, harassment and a normal videos. We use the created data-set when training and testing the neural network ConvLSTM (Convolutional Long Short-Term Memory). We have obtained a classification accuracy of 97.64 % on the created data-set and used architecture of neural network.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132211242","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803740
P. Belány, Z. Kolková, Katarina Bednarcikova, P. Hrabovský
This paper examines and evaluates the long-term electrical energy usage of retrofitting lighting systems with varying degrees of control intelligence. One of the most important components of confirming the appropriateness of the application in practice is the long-term energy measurement of these systems. The data analysis and measurement process are described in this article. An intelligent measurement system was used to collect data on electricity consumption. On the basis of these data, an analysis and comparison of various systems were conducted, and the overall electricity consumption for a certain time period was calculated. Finally, a scenario was created to demonstrate the impact of the COVID-19 pandemic on a retrofitted lighting system with various levels of intelligence.
{"title":"Long-term Analysis and Comparison Electricity Consumption of Retrofitted Lighting Systems","authors":"P. Belány, Z. Kolková, Katarina Bednarcikova, P. Hrabovský","doi":"10.1109/ELEKTRO53996.2022.9803740","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803740","url":null,"abstract":"This paper examines and evaluates the long-term electrical energy usage of retrofitting lighting systems with varying degrees of control intelligence. One of the most important components of confirming the appropriateness of the application in practice is the long-term energy measurement of these systems. The data analysis and measurement process are described in this article. An intelligent measurement system was used to collect data on electricity consumption. On the basis of these data, an analysis and comparison of various systems were conducted, and the overall electricity consumption for a certain time period was calculated. Finally, a scenario was created to demonstrate the impact of the COVID-19 pandemic on a retrofitted lighting system with various levels of intelligence.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134510810","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803330
J. Ždánsky, J. Hrbček, K. Rástočný
Safety PLCs have become a popular device for implementing safety functions in industrial applications. Their correct use is the prerequisite for achieving the required safety integrity level (SIL). This is closely related to the parametrization of the safety PLC (setting of the parameters). This paper deals mainly with parameters influencing the safety of two-channel connection of sensors to the safety PLC.
{"title":"Problems related to the two-channel connection of sensors to the safety PLC","authors":"J. Ždánsky, J. Hrbček, K. Rástočný","doi":"10.1109/ELEKTRO53996.2022.9803330","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803330","url":null,"abstract":"Safety PLCs have become a popular device for implementing safety functions in industrial applications. Their correct use is the prerequisite for achieving the required safety integrity level (SIL). This is closely related to the parametrization of the safety PLC (setting of the parameters). This paper deals mainly with parameters influencing the safety of two-channel connection of sensors to the safety PLC.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131007311","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 : 2022-05-23DOI: 10.1109/ELEKTRO53996.2022.9803683
Daniel Kisira, M. Edimu, J. Serugunda
The rise in industries utilizing automated control equipment for production efficiency is exposing utilities whose distribution systems are vulnerable to power quality disturbances such as voltage dips. Voltage dips are temporary reductions in supply voltage that cause sensitive industrial process devices to malfunction leading to outages and economic loss in factories. This exploratory research was based on the hypothesis that; if an optimal capacitor bank design is developed to ensure that the pre-disturbance voltage profile on a radial feeder is improved to stay within acceptable limits at all times, then the voltage dip severity can be cost effectively mitigated during the large disturbance events without the need to deploy the expensive fast-switching devices such as the Static VAR compensators. Hence, on the Uganda distribution network, the Wabigalo 33 kV industrial feeder being long and radial was used as case study to establish a cost effective approach for limiting voltage dip severity using an optimal capacitor bank design. The Tabu search algorithm in combination with the Loss Sensitivity Factor applied in the DIgSILENT software was used to ascertain the optimal capacitor bank design with its performance and cost compared with the Static VAR Compensator as the standard method. The study found that the initial investment cost of the optimal capacitor bank design for the Wabigalo feeder is 23.5% of the cost of the Static VAR Compensator and provides superior performance benefits in terms of improvement of the pre-disturbance voltage profile and limiting voltage dip severity determined by residual voltage magnitude and voltage dip propagation.
{"title":"Cost Effective Approach for Limiting Voltage Dip Severity on Radial Industrial Feeders in Uganda","authors":"Daniel Kisira, M. Edimu, J. Serugunda","doi":"10.1109/ELEKTRO53996.2022.9803683","DOIUrl":"https://doi.org/10.1109/ELEKTRO53996.2022.9803683","url":null,"abstract":"The rise in industries utilizing automated control equipment for production efficiency is exposing utilities whose distribution systems are vulnerable to power quality disturbances such as voltage dips. Voltage dips are temporary reductions in supply voltage that cause sensitive industrial process devices to malfunction leading to outages and economic loss in factories. This exploratory research was based on the hypothesis that; if an optimal capacitor bank design is developed to ensure that the pre-disturbance voltage profile on a radial feeder is improved to stay within acceptable limits at all times, then the voltage dip severity can be cost effectively mitigated during the large disturbance events without the need to deploy the expensive fast-switching devices such as the Static VAR compensators. Hence, on the Uganda distribution network, the Wabigalo 33 kV industrial feeder being long and radial was used as case study to establish a cost effective approach for limiting voltage dip severity using an optimal capacitor bank design. The Tabu search algorithm in combination with the Loss Sensitivity Factor applied in the DIgSILENT software was used to ascertain the optimal capacitor bank design with its performance and cost compared with the Static VAR Compensator as the standard method. The study found that the initial investment cost of the optimal capacitor bank design for the Wabigalo feeder is 23.5% of the cost of the Static VAR Compensator and provides superior performance benefits in terms of improvement of the pre-disturbance voltage profile and limiting voltage dip severity determined by residual voltage magnitude and voltage dip propagation.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133787086","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：