Pub Date : 2020-10-19DOI: 10.1109/epe51172.2020.9269242
{"title":"Copyright","authors":"","doi":"10.1109/epe51172.2020.9269242","DOIUrl":"https://doi.org/10.1109/epe51172.2020.9269242","url":null,"abstract":"","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134211234","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 : 2020-10-19DOI: 10.1109/epe51172.2020.9269225
{"title":"Electric Power Engineering (EPE) BRNO","authors":"","doi":"10.1109/epe51172.2020.9269225","DOIUrl":"https://doi.org/10.1109/epe51172.2020.9269225","url":null,"abstract":"","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114545716","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269166
Dana Bahram Khudhur, Z. Müller
The development of national electric power network infrastructure in the Kurdistan region of Iraq has shown substantial growth in the last decades. The goal of this paper is to show the difference in the electric power network between two different years, and how gradually the demand for energy consumption was increasing. The growth includes the generation, transmission lines, Substation, and load demand. Furthermore, it is good to present the expansion plans concerning the factors mentioned above.
{"title":"The KRG GRID Network Comparison Between Two Different Years 2013 and 2019","authors":"Dana Bahram Khudhur, Z. Müller","doi":"10.1109/EPE51172.2020.9269166","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269166","url":null,"abstract":"The development of national electric power network infrastructure in the Kurdistan region of Iraq has shown substantial growth in the last decades. The goal of this paper is to show the difference in the electric power network between two different years, and how gradually the demand for energy consumption was increasing. The growth includes the generation, transmission lines, Substation, and load demand. Furthermore, it is good to present the expansion plans concerning the factors mentioned above.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114796554","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269229
J. Klusacek, M. Vrána, J. Drapela
The paper deals with a concept of power flow controller which regulates active power flow at point of connection by pulse-width modulated switching of resistive load in installations with small scale power generation and non-simultaneously fitted consumption. The controller prototype employs a commercially available DC solid-state relay and the design describes limiting factors of its operation from power quality and reliability point of view. The prototype performance is compared to other commercial solutions, utilizing AC solid-state relays equipped with zero-cross switching control strategy, in terms of its impact on supply voltage variations and control dynamics. As it is demonstrated, the developed controller providing heating element input power regulation exhibits promising features for future technically mature demand response solutions.
{"title":"Demand Responsive Power Flow Controller Providing Resistive Load Perspective Regulation in Cooperation with Small Generation Units","authors":"J. Klusacek, M. Vrána, J. Drapela","doi":"10.1109/EPE51172.2020.9269229","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269229","url":null,"abstract":"The paper deals with a concept of power flow controller which regulates active power flow at point of connection by pulse-width modulated switching of resistive load in installations with small scale power generation and non-simultaneously fitted consumption. The controller prototype employs a commercially available DC solid-state relay and the design describes limiting factors of its operation from power quality and reliability point of view. The prototype performance is compared to other commercial solutions, utilizing AC solid-state relays equipped with zero-cross switching control strategy, in terms of its impact on supply voltage variations and control dynamics. As it is demonstrated, the developed controller providing heating element input power regulation exhibits promising features for future technically mature demand response solutions.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114739453","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269184
D. Kouril, Jakub Bača, M. Sobek, M. Kuchar, Jan Strossa
This paper describes a hardware and software solution for data acquisition [1]–[4] for implementation in the field of modern sensorless control methods of induction motor drive [5], where especially adaptive control methods based on Artificial Neural Network (ANN) require a large amount of training data for their operation. Also in industrial applications nowadays, diagnostic systems are often used. These systems work on the principle of data acquisition and enable detection of unwanted faults during stable operation of automated technologies and data collection of quantities that are accessible to superior systems and seemingly unrelated to a motor drive control, such as information about the temperatures and mechanical state. In this way, for example, it is possible to overall increase productivity and safety over the lifetime of the automated technology. This article is divided into several parts. In the first part, based on the requirements, analysis, and design of a suitable solution for data acquisition and advantages over other solutions is performed. The second part of the paper deals with the hardware design of the data acquisition system solution. The third part is focused on the software design and implementation in the LabVIEW and MATLAB environment. The last part of the article is devoted to the analysis of experimental results.
{"title":"Data Acquisition System for the Modern Induction Motor Drive applications","authors":"D. Kouril, Jakub Bača, M. Sobek, M. Kuchar, Jan Strossa","doi":"10.1109/EPE51172.2020.9269184","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269184","url":null,"abstract":"This paper describes a hardware and software solution for data acquisition [1]–[4] for implementation in the field of modern sensorless control methods of induction motor drive [5], where especially adaptive control methods based on Artificial Neural Network (ANN) require a large amount of training data for their operation. Also in industrial applications nowadays, diagnostic systems are often used. These systems work on the principle of data acquisition and enable detection of unwanted faults during stable operation of automated technologies and data collection of quantities that are accessible to superior systems and seemingly unrelated to a motor drive control, such as information about the temperatures and mechanical state. In this way, for example, it is possible to overall increase productivity and safety over the lifetime of the automated technology. This article is divided into several parts. In the first part, based on the requirements, analysis, and design of a suitable solution for data acquisition and advantages over other solutions is performed. The second part of the paper deals with the hardware design of the data acquisition system solution. The third part is focused on the software design and implementation in the LabVIEW and MATLAB environment. The last part of the article is devoted to the analysis of experimental results.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018138","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269217
Dušan Medved’, J. Zbojovský, M. Pavlík, I. Kolcunová, J. Urbanský
The generation of electromagnetic fields is conditioned by the time-varying movement of the electric charge. Electromagnetic field is emitted to the surrounding by devices that operate with electric current and voltage. The calculation of electromagnetic fields is important for assessing possible health risks in human interaction. The increasing trend in the use of electricity is also associated with an increase in transmitted power and hence a higher level of electromagnetic fields. With this in mind, understanding the levels of electromagnetic fields and their impact on the human body is still relevant. For this reason is in this paper mentioned comparison of electromagnetic fields around 400 kV power lines various power towers. Simulations were realized in multi-physic software ANSYS.
{"title":"Comparison of Electromagnetic Fields around Electric Power Lines","authors":"Dušan Medved’, J. Zbojovský, M. Pavlík, I. Kolcunová, J. Urbanský","doi":"10.1109/EPE51172.2020.9269217","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269217","url":null,"abstract":"The generation of electromagnetic fields is conditioned by the time-varying movement of the electric charge. Electromagnetic field is emitted to the surrounding by devices that operate with electric current and voltage. The calculation of electromagnetic fields is important for assessing possible health risks in human interaction. The increasing trend in the use of electricity is also associated with an increase in transmitted power and hence a higher level of electromagnetic fields. With this in mind, understanding the levels of electromagnetic fields and their impact on the human body is still relevant. For this reason is in this paper mentioned comparison of electromagnetic fields around 400 kV power lines various power towers. Simulations were realized in multi-physic software ANSYS.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445106","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269163
Behzad Lashkari, Yuxiang Chen, M. Musílek, P. Musílek
Space heating is responsible for a significant portion of energy consumption in the residential sector. As such, space heating has a great potential for energy savings. The heat pump is an important energy conservation option that allows modification of residential energy demand profile and subsequent reduction of electricity consumption and costs. Living comfort of the residents is the other side of the coin that also must be considered during the heating optimization process. This article presents an intelligent approach to heat pump scheduling problem based on metaheuristic optimization algorithms. In particular, we consider mutation-based binary particle swarm optimization and genetic algorithm. Simulation results confirm that the proposed approach can optimize the heat pump scheduling task without sacrificing the thermal comfort of residents.
{"title":"Intelligent Scheduling of Heat Pump to Minimize the Cost of Electricity","authors":"Behzad Lashkari, Yuxiang Chen, M. Musílek, P. Musílek","doi":"10.1109/EPE51172.2020.9269163","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269163","url":null,"abstract":"Space heating is responsible for a significant portion of energy consumption in the residential sector. As such, space heating has a great potential for energy savings. The heat pump is an important energy conservation option that allows modification of residential energy demand profile and subsequent reduction of electricity consumption and costs. Living comfort of the residents is the other side of the coin that also must be considered during the heating optimization process. This article presents an intelligent approach to heat pump scheduling problem based on metaheuristic optimization algorithms. In particular, we consider mutation-based binary particle swarm optimization and genetic algorithm. Simulation results confirm that the proposed approach can optimize the heat pump scheduling task without sacrificing the thermal comfort of residents.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122909209","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269203
O. Novak, J. Frybort
The VR-1 reactor core safety characteristics calculations are performed by standardized MCNP code, however due to license requirements, it is desired to replace it by the Serpent2 code. In order to do that, Serpent2 calculation must be standardized by State office of nuclear safety. Comparison of Serpent2 and MCNP multiplication factors for several reactor cores is presented to demonstrate the capability and accuracy of Serpent2 results. In addition to this, Serpent2 calculation setup is tested and the impact of different nuclear data libraries is examined. The comparison of results from Serpent2 and standardized MCNP calculation proved that results are similar and therefore the Serpent2 code can be used for the VR-1 reactor core calculations, especially for criticality predictions.
{"title":"Validation of the Serpent2 code for the VR-1 reactor core calculation","authors":"O. Novak, J. Frybort","doi":"10.1109/EPE51172.2020.9269203","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269203","url":null,"abstract":"The VR-1 reactor core safety characteristics calculations are performed by standardized MCNP code, however due to license requirements, it is desired to replace it by the Serpent2 code. In order to do that, Serpent2 calculation must be standardized by State office of nuclear safety. Comparison of Serpent2 and MCNP multiplication factors for several reactor cores is presented to demonstrate the capability and accuracy of Serpent2 results. In addition to this, Serpent2 calculation setup is tested and the impact of different nuclear data libraries is examined. The comparison of results from Serpent2 and standardized MCNP calculation proved that results are similar and therefore the Serpent2 code can be used for the VR-1 reactor core calculations, especially for criticality predictions.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863796","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269249
I. Jahan, S. Mišák, V. Snás̃el
Smart control systems (SCS) are needed to control power grid systems to keep the generated power compliant with the consumed power, and to ensure power quality parameters. The main purpose of the design and use of smart control systems is to reduce the cost of power generation, while generating power of a good quality. In general, when designing a smart control system, we should deal with two main steps- forecasting the power quality parameters, and shifting the load. This research contributes towards good function of SCS. In this study, using a decision tree, five forecasting models were designed incorporating the power quality parameters, such as power frequency forecasting, magnitude of the supply voltage, total harmonic distortion of voltage, total harmonic distortion of current, and short term flicker severity forecasting according to the definition in [EN 50160]. The output of these five models can be used to shift the load to run in switch time, which will meet the generated power. This task will contribute to keeping power quality parameters within the standard levels.
{"title":"Smart Control System based on Power Quality Parameter Short-term Forecasting","authors":"I. Jahan, S. Mišák, V. Snás̃el","doi":"10.1109/EPE51172.2020.9269249","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269249","url":null,"abstract":"Smart control systems (SCS) are needed to control power grid systems to keep the generated power compliant with the consumed power, and to ensure power quality parameters. The main purpose of the design and use of smart control systems is to reduce the cost of power generation, while generating power of a good quality. In general, when designing a smart control system, we should deal with two main steps- forecasting the power quality parameters, and shifting the load. This research contributes towards good function of SCS. In this study, using a decision tree, five forecasting models were designed incorporating the power quality parameters, such as power frequency forecasting, magnitude of the supply voltage, total harmonic distortion of voltage, total harmonic distortion of current, and short term flicker severity forecasting according to the definition in [EN 50160]. The output of these five models can be used to shift the load to run in switch time, which will meet the generated power. This task will contribute to keeping power quality parameters within the standard levels.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127399231","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 : 2020-10-19DOI: 10.1109/EPE51172.2020.9269177
Mohamed S. Elbelkasi, E. Badran, M. Abdel-Rahman, Z. Müller
This paper introduces a complete model of the AC traction electrification system. The model consists of the supply, the Scott- and auto-transformers, and the catenary system. The motor is simulated as an asynchronous machine. The v/f control is used for achieving the motor speed. The model is carried out in PSCAD/EMTDC. Analysis of simulation results are introduced, which pointed out the accuracy of the proposed model for the traction load, drives, and train movement. The results show that the model can be a designing and planning tool for the AC electric railway electrification system.
{"title":"Modelling of AC Electric Railway System using PSCAD/EMTDC","authors":"Mohamed S. Elbelkasi, E. Badran, M. Abdel-Rahman, Z. Müller","doi":"10.1109/EPE51172.2020.9269177","DOIUrl":"https://doi.org/10.1109/EPE51172.2020.9269177","url":null,"abstract":"This paper introduces a complete model of the AC traction electrification system. The model consists of the supply, the Scott- and auto-transformers, and the catenary system. The motor is simulated as an asynchronous machine. The v/f control is used for achieving the motor speed. The model is carried out in PSCAD/EMTDC. Analysis of simulation results are introduced, which pointed out the accuracy of the proposed model for the traction load, drives, and train movement. The results show that the model can be a designing and planning tool for the AC electric railway electrification system.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130324733","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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