Pub Date : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316625
A. Fedotov, R. Misbakhov, K. Bakhteev, R. Abdullazyanov
A method is proposed for calculating the nominal power of power plants for powering an autonomous power supply system of industrial and non-industrial facilities based on updated load values, as well as the power of an electric energy storage device, taking into account the consumption characteristics of power plants according to the criteria for minimizing fuel consumption, reducing the power of power plants and payback period.
{"title":"Economic Assessment Of The Efficiency Of The Application Of Energy Storage System To Compensate The Load Rise And Shedding Of Gas Piston Installation","authors":"A. Fedotov, R. Misbakhov, K. Bakhteev, R. Abdullazyanov","doi":"10.1109/RTUCON51174.2020.9316625","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316625","url":null,"abstract":"A method is proposed for calculating the nominal power of power plants for powering an autonomous power supply system of industrial and non-industrial facilities based on updated load values, as well as the power of an electric energy storage device, taking into account the consumption characteristics of power plants according to the criteria for minimizing fuel consumption, reducing the power of power plants and payback period.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114654869","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316470
H. Maheri, F. Shahir, E. Babaei
This paper presents a new transformer-less single switch structure for boost dc-dc converter with less stress. This proposed converter is introduced by using voltage-lift (VL) technique. In VL technique, the operating of a dc-dc converter completed using features of storage elements. In this paper, the voltage and current relations of proposed converter are extracted in continuous current mode (CCM). After, the voltage and current gains of the proposed converter are calculated in CCM. Then, the current and voltage stress of switch are analyzed. The compression of the proposed converter and some other boost dc-dc converter are also presented. The simulation results of proposed converter in CCM are done by PSCAD/EMTDC software to validity of theoretical concepts.
{"title":"A New Transformer-Less Single Switch Boost DC-DC Converter with Lower Stress","authors":"H. Maheri, F. Shahir, E. Babaei","doi":"10.1109/RTUCON51174.2020.9316470","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316470","url":null,"abstract":"This paper presents a new transformer-less single switch structure for boost dc-dc converter with less stress. This proposed converter is introduced by using voltage-lift (VL) technique. In VL technique, the operating of a dc-dc converter completed using features of storage elements. In this paper, the voltage and current relations of proposed converter are extracted in continuous current mode (CCM). After, the voltage and current gains of the proposed converter are calculated in CCM. Then, the current and voltage stress of switch are analyzed. The compression of the proposed converter and some other boost dc-dc converter are also presented. The simulation results of proposed converter in CCM are done by PSCAD/EMTDC software to validity of theoretical concepts.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123870763","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316556
A. Korneyev, M. Gorobetz
One of the important problems in the field of unmanned autonomous vehicles (UAV) is energy efficiency. By the results of this research authors contribute to development of energy efficient control system of the UAV. Energy consumption of the UAV is optimized by implementation of neural network based algorithm used to control electric drive. Additional UAV optimization controller is proposed for energy efficient flight control. Neural network based structure extends the adaptive search algorithm allowing significantly reduce time to find out the value of optimal control signals and maximize energy efficiency of the UAV.
{"title":"Neural Network Based UAV Optimal Control Algorithm for Energy Efficiency Maximization","authors":"A. Korneyev, M. Gorobetz","doi":"10.1109/RTUCON51174.2020.9316556","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316556","url":null,"abstract":"One of the important problems in the field of unmanned autonomous vehicles (UAV) is energy efficiency. By the results of this research authors contribute to development of energy efficient control system of the UAV. Energy consumption of the UAV is optimized by implementation of neural network based algorithm used to control electric drive. Additional UAV optimization controller is proposed for energy efficient flight control. Neural network based structure extends the adaptive search algorithm allowing significantly reduce time to find out the value of optimal control signals and maximize energy efficiency of the UAV.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124896603","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316479
D. Cepite-Frisfelde, Vilnis Frisfelds, A. Timuhins, J. Seņņikovs
Automatic Identification System (AIS) has been employed for increasing the safety at the sea. Nowadays general information about the marine traffic can be tracked in operational mode using www.marinetraffic.com web portal. Additional information can be purchased for commercial and research purposes. Our study highlights a possibility to study the drift using an additional information available at www.marinetraffic.com - selected data on vessel position during its status “not under command”, which corresponds to the drifting vessels. Trajectories of the drift from AIS have been compared with mathematically modeled point-wise drifter paths. Copernicus Marine Environmental Monitoring Service's data for the surface current and Danish Meteorological Institute's model Harmonie data for the wind speed was employed to force the drift model. This comparison may give an indicative insight in the performance of the state-of art drift models. Drift model skill is related to (1) accuracy of the models for the surface current and the wind speed (2) selected drift model and its parameters, and (3) representation of the ship parameters in the drift model. Future research may focus on AIS data application in improving of the accuracy of operational forecasts of the vessel drift for search and rescue (and marina pollution combating) purposes; AIS data may be used for systematic bias (e.g. leeway) correction in operational models.
{"title":"Automatic Identification System data - potential resource for marine vessels drift studies in the Baltic Sea","authors":"D. Cepite-Frisfelde, Vilnis Frisfelds, A. Timuhins, J. Seņņikovs","doi":"10.1109/RTUCON51174.2020.9316479","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316479","url":null,"abstract":"Automatic Identification System (AIS) has been employed for increasing the safety at the sea. Nowadays general information about the marine traffic can be tracked in operational mode using www.marinetraffic.com web portal. Additional information can be purchased for commercial and research purposes. Our study highlights a possibility to study the drift using an additional information available at www.marinetraffic.com - selected data on vessel position during its status “not under command”, which corresponds to the drifting vessels. Trajectories of the drift from AIS have been compared with mathematically modeled point-wise drifter paths. Copernicus Marine Environmental Monitoring Service's data for the surface current and Danish Meteorological Institute's model Harmonie data for the wind speed was employed to force the drift model. This comparison may give an indicative insight in the performance of the state-of art drift models. Drift model skill is related to (1) accuracy of the models for the surface current and the wind speed (2) selected drift model and its parameters, and (3) representation of the ship parameters in the drift model. Future research may focus on AIS data application in improving of the accuracy of operational forecasts of the vessel drift for search and rescue (and marina pollution combating) purposes; AIS data may be used for systematic bias (e.g. leeway) correction in operational models.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128127144","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316551
I. Ivanov, Dmitry Y. Glivenko, E. Feklistov, V. Belko, Kirill Kulbako
The novel types of electrodes segmentation patterns for metallized film capacitors were suggested. Electrodynamic destruction of segmented electrodes due to self-healing process was numerically calculated using COMSOL Multiphysics software. The dependence of electrodynamic destruction energy versus destruction time was used as a criterion of segmentation pattern efficiency. Advantages and disadvantages of novel electrodes segmentation types were determined. It was found that bridge-diamond segmentation is the most effective patterns configuration.
{"title":"Efficiency Evaluation of Electrodes Segmentation Patterns for Metallized Film Capacitors","authors":"I. Ivanov, Dmitry Y. Glivenko, E. Feklistov, V. Belko, Kirill Kulbako","doi":"10.1109/RTUCON51174.2020.9316551","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316551","url":null,"abstract":"The novel types of electrodes segmentation patterns for metallized film capacitors were suggested. Electrodynamic destruction of segmented electrodes due to self-healing process was numerically calculated using COMSOL Multiphysics software. The dependence of electrodynamic destruction energy versus destruction time was used as a criterion of segmentation pattern efficiency. Advantages and disadvantages of novel electrodes segmentation types were determined. It was found that bridge-diamond segmentation is the most effective patterns configuration.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132489747","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316482
Abualkasim Bakeer, A. Chub, D. Vinnikov
This paper proposes a method to detect the short-circuit fault (SCF) in the full-bridge diode rectifier at the output side of the series resonant dc-dc converter (SRC). The full-bridge inverter is employed at the input side. The utilized diagnostic/signature signal to detect the SCF is the voltage of the resonant inductor, which increases after fault occurrence. Also, sensing the inductor voltage is an easy way through inserting a few turns into the core of the resonant inductor without affecting its operation. The sensed inductor voltage is compared with a threshold voltage, which is calculated based on the converter parameters. After the identification of the SCF fault, the input-side bridge is reconfigured into a half-bridge structure to recover the normal operation of the converter because the output side is operating as a voltage doubler in this case. Since in the proposed method, localization of the exact faulty diode is not considered important in the further operation, fast recovery of the fault condition can be achieved. The simulation results provided show the feasibility of the detection algorithm and the remedial action at different operating conditions.
{"title":"Short-Circuit Fault Detection and Remedial in Full-Bridge Rectifier of Series Resonant DC-DC Converter Based on Inductor Voltage Signature","authors":"Abualkasim Bakeer, A. Chub, D. Vinnikov","doi":"10.1109/RTUCON51174.2020.9316482","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316482","url":null,"abstract":"This paper proposes a method to detect the short-circuit fault (SCF) in the full-bridge diode rectifier at the output side of the series resonant dc-dc converter (SRC). The full-bridge inverter is employed at the input side. The utilized diagnostic/signature signal to detect the SCF is the voltage of the resonant inductor, which increases after fault occurrence. Also, sensing the inductor voltage is an easy way through inserting a few turns into the core of the resonant inductor without affecting its operation. The sensed inductor voltage is compared with a threshold voltage, which is calculated based on the converter parameters. After the identification of the SCF fault, the input-side bridge is reconfigured into a half-bridge structure to recover the normal operation of the converter because the output side is operating as a voltage doubler in this case. Since in the proposed method, localization of the exact faulty diode is not considered important in the further operation, fast recovery of the fault condition can be achieved. The simulation results provided show the feasibility of the detection algorithm and the remedial action at different operating conditions.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645315","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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