Pub Date : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982319
J. Armas, A. Ivanov
Accurate determination of power losses at the design stage is very important for optimizing the network structure, choosing the places and number of substations and cable cross-sections. Losses in low-voltage distribution networks for different sources account for 2-4% of the total energy consumption. Reducing losses leads to lower CO2 emissions. This paper proposes a methodology for comparative calculation of losses in low-voltage distribution networks to select economically optimal network configurations and cable cross-sections at the design stage. The paper assesses the main factors that contribute to reduce losses of active power. The software used allows the designer to create various versions of network models for their comparative analysis and calculate the losses of active power in the cables, taking into account the proximity and skin effects. As a result the designer gets all the necessary parameters to select the final, economically optimal design of a network. These parameters are the predicted total cost of losses for the estimated operating life for each variant of network and the difference in the cost of building a network for each variant relative to the base variant. The purpose of the present publication is to introduce a practical method to be used in the MeteorSpec PRO software when calculating power losses in low-voltage distribution networks (in symmetrical three-phase low-voltage radial TN-systems), considering the specific characteristics of these networks. The proposed technique is based on determinations of active energy losses, which are calculated by load curves of consumers taking into account actual operating temperatures of conductors.
{"title":"Determination of the total cost of active power losses and methods to reduce power losses in low-voltage distribution networks","authors":"J. Armas, A. Ivanov","doi":"10.1109/RTUCON48111.2019.8982319","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982319","url":null,"abstract":"Accurate determination of power losses at the design stage is very important for optimizing the network structure, choosing the places and number of substations and cable cross-sections. Losses in low-voltage distribution networks for different sources account for 2-4% of the total energy consumption. Reducing losses leads to lower CO2 emissions. This paper proposes a methodology for comparative calculation of losses in low-voltage distribution networks to select economically optimal network configurations and cable cross-sections at the design stage. The paper assesses the main factors that contribute to reduce losses of active power. The software used allows the designer to create various versions of network models for their comparative analysis and calculate the losses of active power in the cables, taking into account the proximity and skin effects. As a result the designer gets all the necessary parameters to select the final, economically optimal design of a network. These parameters are the predicted total cost of losses for the estimated operating life for each variant of network and the difference in the cost of building a network for each variant relative to the base variant. The purpose of the present publication is to introduce a practical method to be used in the MeteorSpec PRO software when calculating power losses in low-voltage distribution networks (in symmetrical three-phase low-voltage radial TN-systems), considering the specific characteristics of these networks. The proposed technique is based on determinations of active energy losses, which are calculated by load curves of consumers taking into account actual operating temperatures of conductors.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"360 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132347028","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982322
P. Apse-Apsitis, I. Steiks, R. Porins, O. Meusel, M. Droba, D. Ondreka, K. Schulte-Ulrichs
Particle accelerators utilize high voltage, high magnetic fields, and radio frequencies range amplifiers in order to guide and accelerate the particle beam. Particle beam modulation is a new challenge in accelerator design and research in high energy physics. Article deal with challenges into particle accelerators beam modulators from a power electronics point of view.
{"title":"High voltage, high frequency, high bandwidth sweeping arbitrary waveform challenge: Overall design concept","authors":"P. Apse-Apsitis, I. Steiks, R. Porins, O. Meusel, M. Droba, D. Ondreka, K. Schulte-Ulrichs","doi":"10.1109/RTUCON48111.2019.8982322","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982322","url":null,"abstract":"Particle accelerators utilize high voltage, high magnetic fields, and radio frequencies range amplifiers in order to guide and accelerate the particle beam. Particle beam modulation is a new challenge in accelerator design and research in high energy physics. Article deal with challenges into particle accelerators beam modulators from a power electronics point of view.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131930510","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982362
Dimitar D. Arnaudov, V. Dimitrov, P. Punov
The paper analyzes the a specific way to size a supercapacitor as a part of a hybrid energy power supply. Defining the load of the power supply by its power over time requirements and using some approximations (combination of linear and constant segments only for the power profile of the load) allows the circuit to be analytically solved and expressions found for the capacitor′s voltage and current over time. These analytical results can be used to choose the supercapacitor size by postulating only its initial and final voltage depending on the segment. The approach used allows for sizing the supercapacitor for wide variety of applications by only requiring the power demand of the load to be known. The model is verified by means of simulation and experimental results.
{"title":"Analytical Model for Supercapacitor Sizing as Part of a Hybrid Power Supply","authors":"Dimitar D. Arnaudov, V. Dimitrov, P. Punov","doi":"10.1109/RTUCON48111.2019.8982362","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982362","url":null,"abstract":"The paper analyzes the a specific way to size a supercapacitor as a part of a hybrid energy power supply. Defining the load of the power supply by its power over time requirements and using some approximations (combination of linear and constant segments only for the power profile of the load) allows the circuit to be analytically solved and expressions found for the capacitor′s voltage and current over time. These analytical results can be used to choose the supercapacitor size by postulating only its initial and final voltage depending on the segment. The approach used allows for sizing the supercapacitor for wide variety of applications by only requiring the power demand of the load to be known. The model is verified by means of simulation and experimental results.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793134","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982315
D. Bliznyuk, P. Kovalenko, V. Mukhin
The method is proposed for evaluation of the instantaneous values of power system performance parameters meeting the requirements of operation on a real-time basis, processing the non-stationary and distorted signals, ensuring minimum computational delay. The method allows to evaluate the following parameters: current and voltage magnitude and phase, frequency, active and reactive power. The sampling rate of the resulting parameters corresponds to the one of the initial data.
{"title":"The Technique for Accelerated Evaluation of the Instantaneous Values of Power System Performance Parameters","authors":"D. Bliznyuk, P. Kovalenko, V. Mukhin","doi":"10.1109/RTUCON48111.2019.8982315","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982315","url":null,"abstract":"The method is proposed for evaluation of the instantaneous values of power system performance parameters meeting the requirements of operation on a real-time basis, processing the non-stationary and distorted signals, ensuring minimum computational delay. The method allows to evaluate the following parameters: current and voltage magnitude and phase, frequency, active and reactive power. The sampling rate of the resulting parameters corresponds to the one of the initial data.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122050040","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982300
M. Gorobetz, A. Potapovs, A. Korneyev
The main challenge of the research is to increase energy efficiency and reduce electrical energy consumption of multi-rotor unmanned aerial vehicles (UAV) by optimal control of the electrical traction drive. The goal of this paper is to analyze traction drive of multi-rotor unmanned aerial vehicles (UAV) and to develop mathematical and computer model based on empirical data of experimental statistics. The results of research allow concluding that model based on the data is usable and precise. It gives possibility to control both energy consumption of the UAV and discharge of the battery and use this values for energy efficiency optimization.
{"title":"Analysis and modelling of UAV electrical traction drive based on empirical data for energy efficiency tasks","authors":"M. Gorobetz, A. Potapovs, A. Korneyev","doi":"10.1109/RTUCON48111.2019.8982300","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982300","url":null,"abstract":"The main challenge of the research is to increase energy efficiency and reduce electrical energy consumption of multi-rotor unmanned aerial vehicles (UAV) by optimal control of the electrical traction drive. The goal of this paper is to analyze traction drive of multi-rotor unmanned aerial vehicles (UAV) and to develop mathematical and computer model based on empirical data of experimental statistics. The results of research allow concluding that model based on the data is usable and precise. It gives possibility to control both energy consumption of the UAV and discharge of the battery and use this values for energy efficiency optimization.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116182557","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982265
Deniss Brodņevs, M. Hauka
This paper presents a unified method for estimating latencies in a parallel redundant network with losses. The proposed method is based on mathematical statistics and, in the opinion of the authors, is more instructive in small networks than typical estimations that are based on the Markov chain model, which is recommended by ITU. The method requires known CDFs of latencies of parallel networks, as well as their packet loss rates. The CDFs can be built from experimental data or can be approximated in accordance to assumed distribution function. The method eliminates the need to calculate the transition probabilities that are required in the Markov chain. Also, the method can be used for various number of parallel networks. However, the method is applicable only for independent networks
{"title":"Method for estimating delays in parallel redundant data transfer networks","authors":"Deniss Brodņevs, M. Hauka","doi":"10.1109/RTUCON48111.2019.8982265","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982265","url":null,"abstract":"This paper presents a unified method for estimating latencies in a parallel redundant network with losses. The proposed method is based on mathematical statistics and, in the opinion of the authors, is more instructive in small networks than typical estimations that are based on the Markov chain model, which is recommended by ITU. The method requires known CDFs of latencies of parallel networks, as well as their packet loss rates. The CDFs can be built from experimental data or can be approximated in accordance to assumed distribution function. The method eliminates the need to calculate the transition probabilities that are required in the Markov chain. Also, the method can be used for various number of parallel networks. However, the method is applicable only for independent networks","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973620","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982289
K. Berzina, N. Kunicina, A. Žiravecka, J. Caiko
Within Regional Competence Centre for Lifelong Learning in Electrical Engineering at RTU, has been developed new long life learning programme Industrial design for electronic and optical equipment: materials, design, and functionality. The program has been developed for merchants, managers of manufacturing companies, technical staff. Interested in -learning about industrial design in the manufacture of electronic and optical equipment: use of new materials, design, enhancement, thoughtful use in production and everyday life. Within the framework of this programme, a synergy of directions has been proposed: materials science, automation, and adaptive connections.
{"title":"Promoting of Lifelong Learning in Engineering","authors":"K. Berzina, N. Kunicina, A. Žiravecka, J. Caiko","doi":"10.1109/RTUCON48111.2019.8982289","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982289","url":null,"abstract":"Within Regional Competence Centre for Lifelong Learning in Electrical Engineering at RTU, has been developed new long life learning programme Industrial design for electronic and optical equipment: materials, design, and functionality. The program has been developed for merchants, managers of manufacturing companies, technical staff. Interested in -learning about industrial design in the manufacture of electronic and optical equipment: use of new materials, design, enhancement, thoughtful use in production and everyday life. Within the framework of this programme, a synergy of directions has been proposed: materials science, automation, and adaptive connections.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945810","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982258
T. Jalakas, I. Roasto, Mahdiyyeh Najafzadeh
Nearly zero energy buildings (NZEB) require energy production, storage and management that can be realized through a multiport power electronic interface also known as an energy router (ER). As the ER can inject energy to the grid, it must have an integrated anti-islanding method (according to IEEE1547.1). This paper gives a short overview of the islanding detection methods. Recent trends and methods will be analyzed and explained. As a result, a suitable anti-islanding strategy for an ER will be developed that complies with all reliability and power quality requirements of the NZEB. The proposed anti-islanding method was analyzed and verified by the computer simulations.
{"title":"Combined Active Frequency Drift Islanding Detection Method for NZEB Energy Router","authors":"T. Jalakas, I. Roasto, Mahdiyyeh Najafzadeh","doi":"10.1109/RTUCON48111.2019.8982258","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982258","url":null,"abstract":"Nearly zero energy buildings (NZEB) require energy production, storage and management that can be realized through a multiport power electronic interface also known as an energy router (ER). As the ER can inject energy to the grid, it must have an integrated anti-islanding method (according to IEEE1547.1). This paper gives a short overview of the islanding detection methods. Recent trends and methods will be analyzed and explained. As a result, a suitable anti-islanding strategy for an ER will be developed that complies with all reliability and power quality requirements of the NZEB. The proposed anti-islanding method was analyzed and verified by the computer simulations.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122631946","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982264
K. Sinitsyna, A. Petrochenkov, B. Krause
The purpose of this work is to provide the complex methodology for the identification of typical consumption patterns for particular consumer and to research its behavioral features based on daily activity and seasonal consumption properties to assign the consumer to approved specific billing power consumption category with similar acceptance behavior. Selection of the optimal billing category for consumers is based on comparison of their actual power consumption profiles with standard load profiles corresponding to respective billing group. The developed algorithm allows the distribution company to choose the most appropriate power consumption categories for their consumers and thus rationalize energy costs, as well as optimize the strategic and production planning of electricity purchases.
{"title":"Some Practical Aspects of Electric Power Consumption Time Series Analysis","authors":"K. Sinitsyna, A. Petrochenkov, B. Krause","doi":"10.1109/RTUCON48111.2019.8982264","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982264","url":null,"abstract":"The purpose of this work is to provide the complex methodology for the identification of typical consumption patterns for particular consumer and to research its behavioral features based on daily activity and seasonal consumption properties to assign the consumer to approved specific billing power consumption category with similar acceptance behavior. Selection of the optimal billing category for consumers is based on comparison of their actual power consumption profiles with standard load profiles corresponding to respective billing group. The developed algorithm allows the distribution company to choose the most appropriate power consumption categories for their consumers and thus rationalize energy costs, as well as optimize the strategic and production planning of electricity purchases.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125769815","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 : 2019-10-01DOI: 10.1109/RTUCON48111.2019.8982307
A. Avotiņš, Andrejs Podgornovs, P. Apse-Apsitis, Armands Senfelds, E. Dzelzītis, Kristaps Zadeiks
Nowadays it is possible to obtain almost real-time measurement data using various IoT solutions, which can be used in order to control building management systems like heating, ventilation, cooling equipment (chiller), lighting. Nevertheless there are limited number of solutions allowing to control it by using hourly data (like electrical power consumption, room temperatures, humidity, CO2 levels, heat energy, ventilation system pressures, outdoor climate data). This paper deals with 6R2C mathematical model development, that uses real-time data obtained from IoT sensors, practical measurements and experimental testing results achieved during summer period, when the cooling energy is needed. Measurements and experiments were conducted for certain building zone, which is PN4 ventilation zone for the most electrical energy consuming HVAC system of the building, located also in the south side and having most impact by the sun radiation. Using simplified modeling and input data approach, CV(RMSE) estimation of the model for daily consumption for the period from 8 August to 8 September resulted in a value of 28.62%. In monthly period average energy consumption error (single month) is 0.14%.
{"title":"IoT Solution Approach for Energy Consumption Reduction in Buildings: Part 4. Mathematical Model and Experiments for Cooling Energy Consumption","authors":"A. Avotiņš, Andrejs Podgornovs, P. Apse-Apsitis, Armands Senfelds, E. Dzelzītis, Kristaps Zadeiks","doi":"10.1109/RTUCON48111.2019.8982307","DOIUrl":"https://doi.org/10.1109/RTUCON48111.2019.8982307","url":null,"abstract":"Nowadays it is possible to obtain almost real-time measurement data using various IoT solutions, which can be used in order to control building management systems like heating, ventilation, cooling equipment (chiller), lighting. Nevertheless there are limited number of solutions allowing to control it by using hourly data (like electrical power consumption, room temperatures, humidity, CO2 levels, heat energy, ventilation system pressures, outdoor climate data). This paper deals with 6R2C mathematical model development, that uses real-time data obtained from IoT sensors, practical measurements and experimental testing results achieved during summer period, when the cooling energy is needed. Measurements and experiments were conducted for certain building zone, which is PN4 ventilation zone for the most electrical energy consuming HVAC system of the building, located also in the south side and having most impact by the sun radiation. Using simplified modeling and input data approach, CV(RMSE) estimation of the model for daily consumption for the period from 8 August to 8 September resulted in a value of 28.62%. In monthly period average energy consumption error (single month) is 0.14%.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127157106","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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