Pub Date : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059251
Natalia M. Savchenkova, D. A. Kravtsov
The proposed study is relevant, because of the inefficient use of secondary energy resources that is considered an important topic in global energy and energy conservation. Wet gases occupy an important place among VER. Deep utilization of the heat of wet gases in condensing heat exchangers (CTU) can significantly improve the efficiency of thermal installations and obtain a number of advantages in their operation. In addition, the topic is very convenient for the design and selection of utilizers, as the existing models of deep utilization of secondary energy resources are considered.
{"title":"Deep Utilization of Heat of Wet Gases in Ventilation Systems","authors":"Natalia M. Savchenkova, D. A. Kravtsov","doi":"10.1109/REEPE49198.2020.9059251","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059251","url":null,"abstract":"The proposed study is relevant, because of the inefficient use of secondary energy resources that is considered an important topic in global energy and energy conservation. Wet gases occupy an important place among VER. Deep utilization of the heat of wet gases in condensing heat exchangers (CTU) can significantly improve the efficiency of thermal installations and obtain a number of advantages in their operation. In addition, the topic is very convenient for the design and selection of utilizers, as the existing models of deep utilization of secondary energy resources are considered.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114826716","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059155
D. Polyakov, I. V. Komarov, N. Tereschenko, K. I. Nikitin, U. V. Polyakova
This paper describes a study of partial discharges as an insulation degradation mechanism. Some known insulation aging mathematical models are described. Since these models use partial discharges power dependence on voltage, it is studied. Experimental research of partial discharges characteristics dependence is performed. The 10 kV single core XLPE-insulated cable termination defect is used as a source of partial discharges. PD characteristics were measured in the range from 8 to 15 kV. The obtained results showed a presence of a harmful defect in the cable. PD at 8 kV were found insufficient. However, 10 kV voltage caused the occurrence of considerable partial discharges. PD at 15 kV had the most destructive effect on the insulating material. The obtained PD power voltage dependence curve correlates with the known research results. However, the obtained characteristic can change in time because of the defect growth, so this process has to be further studied.
{"title":"Research of Partial Discharges Intensity Voltage Dependence in XLPE-Insulated Cables","authors":"D. Polyakov, I. V. Komarov, N. Tereschenko, K. I. Nikitin, U. V. Polyakova","doi":"10.1109/REEPE49198.2020.9059155","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059155","url":null,"abstract":"This paper describes a study of partial discharges as an insulation degradation mechanism. Some known insulation aging mathematical models are described. Since these models use partial discharges power dependence on voltage, it is studied. Experimental research of partial discharges characteristics dependence is performed. The 10 kV single core XLPE-insulated cable termination defect is used as a source of partial discharges. PD characteristics were measured in the range from 8 to 15 kV. The obtained results showed a presence of a harmful defect in the cable. PD at 8 kV were found insufficient. However, 10 kV voltage caused the occurrence of considerable partial discharges. PD at 15 kV had the most destructive effect on the insulating material. The obtained PD power voltage dependence curve correlates with the known research results. However, the obtained characteristic can change in time because of the defect growth, so this process has to be further studied.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881098","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059176
Yamen R. Alsyoufi, A. A. Hajjar, R. Aljendy
Power swing may cause distance relays to operate incorrectly. Hence, this work presents a fast algorithm dependent on wavelet transform to differentiate a power swing from any fault that may occur in series compensated transmission lines. In this algorithm, the Piecewise Linear Spline Wavelet is used to analyze current/voltage waveforms into distinctive levels of frequencies. The eighth level of the single-phase current signal is used to identify power swing and thus to block the operation of the distance relay, whereas the first levels of the three-phase voltage signals are used to identify any fault case even in the presence of power swing, and thus to deblock the distance relay. To assess the efficacy of the presented algorithm, lots events of faults and power swings are examined on a test system modeled in MATLAB/Simulink. The results prove the advantages of the presented algorithm in terms of speed, reliability and efficiency.
{"title":"Discrimination Between Power Swing and Faults in Series Compensated Transmission Lines Using the Piecewise Linear Spline Wavelet","authors":"Yamen R. Alsyoufi, A. A. Hajjar, R. Aljendy","doi":"10.1109/REEPE49198.2020.9059176","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059176","url":null,"abstract":"Power swing may cause distance relays to operate incorrectly. Hence, this work presents a fast algorithm dependent on wavelet transform to differentiate a power swing from any fault that may occur in series compensated transmission lines. In this algorithm, the Piecewise Linear Spline Wavelet is used to analyze current/voltage waveforms into distinctive levels of frequencies. The eighth level of the single-phase current signal is used to identify power swing and thus to block the operation of the distance relay, whereas the first levels of the three-phase voltage signals are used to identify any fault case even in the presence of power swing, and thus to deblock the distance relay. To assess the efficacy of the presented algorithm, lots events of faults and power swings are examined on a test system modeled in MATLAB/Simulink. The results prove the advantages of the presented algorithm in terms of speed, reliability and efficiency.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724338","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059213
M. Deeb, N. F. Kotelenets
Defects in operation of the induction motors changes the harmonic components of motor supply current. In this paper, Motor electrical current signature analysis (MCSA) is used to detect the inter- turn short circuits in only one winding of the motor stator. In this paper, a theoretical study was conducted to determine the harmonics resulting from the presence of inter- turn short circuits. An experimental module set of a 220V/380V-50Hz-11kW-4pole three- phase squirrel-cage induction machine has been used to verify the efficiency of this method. The experimental results proved the effectiveness of the proposed method in detecting inter-turn short circuit up to the failure of only two turn.
{"title":"Fault Diagnosis of 3-phase Induction Machine Using Harmonic Content of Stator Current Spectrum","authors":"M. Deeb, N. F. Kotelenets","doi":"10.1109/REEPE49198.2020.9059213","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059213","url":null,"abstract":"Defects in operation of the induction motors changes the harmonic components of motor supply current. In this paper, Motor electrical current signature analysis (MCSA) is used to detect the inter- turn short circuits in only one winding of the motor stator. In this paper, a theoretical study was conducted to determine the harmonics resulting from the presence of inter- turn short circuits. An experimental module set of a 220V/380V-50Hz-11kW-4pole three- phase squirrel-cage induction machine has been used to verify the efficiency of this method. The experimental results proved the effectiveness of the proposed method in detecting inter-turn short circuit up to the failure of only two turn.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123700759","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059175
Victor Buslov, O. Sigitov, N. Chemborisova
One of the main challenges of maintaining the operating mode of power systems is to maintain a normal voltage level at the control points of the power system and the consumer. Each load is characterized by a different consumption of active and reactive power, depending on the voltage supplied to the load, which also leads to changes in the operating parameters in the network. Thus, when studying the modes of operation of the electric power system, it is necessary to take into account the static characteristics of the load. The results of the comparison of the equations obtained statical characteristics of consumer model it was shown that the introduction of energy saving technologies and the use of modern types of power receiving devices leads to the necessity of changing the equation model of statical characteristics of consumer. Also, the specified statical characteristics affect the determination of wind power plant units.
{"title":"Impact of Modern Power Receiving Devices on Statical Characteristics of Consumer in Electric Power Network Nodes","authors":"Victor Buslov, O. Sigitov, N. Chemborisova","doi":"10.1109/REEPE49198.2020.9059175","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059175","url":null,"abstract":"One of the main challenges of maintaining the operating mode of power systems is to maintain a normal voltage level at the control points of the power system and the consumer. Each load is characterized by a different consumption of active and reactive power, depending on the voltage supplied to the load, which also leads to changes in the operating parameters in the network. Thus, when studying the modes of operation of the electric power system, it is necessary to take into account the static characteristics of the load. The results of the comparison of the equations obtained statical characteristics of consumer model it was shown that the introduction of energy saving technologies and the use of modern types of power receiving devices leads to the necessity of changing the equation model of statical characteristics of consumer. Also, the specified statical characteristics affect the determination of wind power plant units.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124063372","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059221
I. Shcherbatov, A. Dolgushev
A neural network block for auto-tuning the PID controller for energy facilities has been implemented. Special attention is paid to the analysis of the comparison of a single-circuit system with a PID controller and a single-circuit system with a neural network auto-tuning unit and a PID controller. The results obtained allow us to conclude that in the process of changing the parameters of an object, a significant superiority is illustrated by the use of a neural network auto-tuning unit.
{"title":"Auto tuning block of the PID controller of energy facilities","authors":"I. Shcherbatov, A. Dolgushev","doi":"10.1109/REEPE49198.2020.9059221","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059221","url":null,"abstract":"A neural network block for auto-tuning the PID controller for energy facilities has been implemented. Special attention is paid to the analysis of the comparison of a single-circuit system with a PID controller and a single-circuit system with a neural network auto-tuning unit and a PID controller. The results obtained allow us to conclude that in the process of changing the parameters of an object, a significant superiority is illustrated by the use of a neural network auto-tuning unit.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125857542","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059231
M. Sultanov, V. M. Trukhanov, Y. Gorban
When constructing a thermal power plant (TPP), reliability and safety of its critical components (transformers, generators, turbines, pipelines, oil systems, bearings etc.) should be maintained. To do so the prototype test should be planned. The TPP component feature is that they are high value equipment, consisting of an assembly of electric, mechanical, hydraulic, pneumatic and other elements. This paper discusses the amount of testing technique design for binominal distribution law at single reliability level. The technique is based on the prototype reparability condition after failure. In this case the developer (deliverer) risk is set zero (α=0). An improvement is efficient if the next testing with the same amount is successful. The originality of the proposed technique for planning amount of testing for the single reliability level allows reaching the required output characteristics for less time.
{"title":"High Value Heat-power Equipment Component Test Planning with Time-series Technique at Single Reliability Level","authors":"M. Sultanov, V. M. Trukhanov, Y. Gorban","doi":"10.1109/REEPE49198.2020.9059231","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059231","url":null,"abstract":"When constructing a thermal power plant (TPP), reliability and safety of its critical components (transformers, generators, turbines, pipelines, oil systems, bearings etc.) should be maintained. To do so the prototype test should be planned. The TPP component feature is that they are high value equipment, consisting of an assembly of electric, mechanical, hydraulic, pneumatic and other elements. This paper discusses the amount of testing technique design for binominal distribution law at single reliability level. The technique is based on the prototype reparability condition after failure. In this case the developer (deliverer) risk is set zero (α=0). An improvement is efficient if the next testing with the same amount is successful. The originality of the proposed technique for planning amount of testing for the single reliability level allows reaching the required output characteristics for less time.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129944553","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059172
Hegazy Rezk, A. Mera, M. Tolba
Partial shading reduces the harvested electrical energy generated by solar photovoltaic system (SPVS). Under this condition, the power-voltage curve of SPVS contains one global and some local maximum power points. Traditional trackers like perturb and observe cannot extract the global maximum point. Therefore, to enhance PV system efficacy, mitigation of partial shading condition must be solved. Conventional maximum power point tracking (MPPT) techniques are normally employed for maximizing the SPVS output power continuously under uniform solar irradiance without any problems. The main disadvantage of these techniques is failing extraction of global MPP under shadowing condition. This paper presents a performance of global MPPT based on Particle Swarm Optimization (PSO). The obtained results are compared with incremental resistance method. The results confirmed that PSO based tracker guarantee convergence to the global MPP under different partial shading patterns and they have the best performance in comparison with the conventional ones.
{"title":"Performance Analysis of Solar PV System under Shading Condition","authors":"Hegazy Rezk, A. Mera, M. Tolba","doi":"10.1109/REEPE49198.2020.9059172","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059172","url":null,"abstract":"Partial shading reduces the harvested electrical energy generated by solar photovoltaic system (SPVS). Under this condition, the power-voltage curve of SPVS contains one global and some local maximum power points. Traditional trackers like perturb and observe cannot extract the global maximum point. Therefore, to enhance PV system efficacy, mitigation of partial shading condition must be solved. Conventional maximum power point tracking (MPPT) techniques are normally employed for maximizing the SPVS output power continuously under uniform solar irradiance without any problems. The main disadvantage of these techniques is failing extraction of global MPP under shadowing condition. This paper presents a performance of global MPPT based on Particle Swarm Optimization (PSO). The obtained results are compared with incremental resistance method. The results confirmed that PSO based tracker guarantee convergence to the global MPP under different partial shading patterns and they have the best performance in comparison with the conventional ones.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129963705","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059180
Maxim S. Gnutov, A. B. Sizonenko, S. K. Gnutov
This article discusses the actuality of using hardware and software resources of distributed automated systems to solve information security problems. The selection of the optimal method for solving problems of efficient use of real time distributed automated systems is made. Author has constructed the graph that illustrates the solution of problems by the simultaneous use of different types of processors. The matrix equation of this graph is solved, the operating states of the system are found. Optimal system condition is selected. The evaluation indicator is formulated and expressed by the formula. The author has build the CPN Tools modeling system simulated data processing based on the colored Petri nets. In the model the multi-colored chips, various data blocks, and time delays are put into operation. The actuality of the topic is caused by the requirements of International Standard.
{"title":"Optimization of Resource Utilization of Distributed Automated Systems Under the Influence of Heterogeneous Security Threats","authors":"Maxim S. Gnutov, A. B. Sizonenko, S. K. Gnutov","doi":"10.1109/REEPE49198.2020.9059180","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059180","url":null,"abstract":"This article discusses the actuality of using hardware and software resources of distributed automated systems to solve information security problems. The selection of the optimal method for solving problems of efficient use of real time distributed automated systems is made. Author has constructed the graph that illustrates the solution of problems by the simultaneous use of different types of processors. The matrix equation of this graph is solved, the operating states of the system are found. Optimal system condition is selected. The evaluation indicator is formulated and expressed by the formula. The author has build the CPN Tools modeling system simulated data processing based on the colored Petri nets. In the model the multi-colored chips, various data blocks, and time delays are put into operation. The actuality of the topic is caused by the requirements of International Standard.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122580381","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 : 2020-03-01DOI: 10.1109/REEPE49198.2020.9059212
R. Bani, Winfried Schuetz
Machine learning algorithms have been extensively implemented in building physics to predict demand profiles of different variables such as heat input or electric power. Most applications focus on consecutive time periods with no seasonal variations. This study relies on a black box method to predict the heat demand profile for a single story building based on data from different seasons. The models produced satisfying results. The Neural Networks (NN) models in general, produced higher accuracy, however, at higher computational cost compared to the Support Vector Regression (SVR) models. The multi-hidden layer NN's led to over fitting and deficiency. When the target variable is near constant, the prediction accuracy of the models substantially decreases. The input temperature profiles have higher influence on the accuracy of the prediction, up to 6 times maximum, in comparison of the other variables.
{"title":"Prediction of Long Periods Heating Demand at Small Time Intervals for a Single Story Building using a Black Box Method","authors":"R. Bani, Winfried Schuetz","doi":"10.1109/REEPE49198.2020.9059212","DOIUrl":"https://doi.org/10.1109/REEPE49198.2020.9059212","url":null,"abstract":"Machine learning algorithms have been extensively implemented in building physics to predict demand profiles of different variables such as heat input or electric power. Most applications focus on consecutive time periods with no seasonal variations. This study relies on a black box method to predict the heat demand profile for a single story building based on data from different seasons. The models produced satisfying results. The Neural Networks (NN) models in general, produced higher accuracy, however, at higher computational cost compared to the Support Vector Regression (SVR) models. The multi-hidden layer NN's led to over fitting and deficiency. When the target variable is near constant, the prediction accuracy of the models substantially decreases. The input temperature profiles have higher influence on the accuracy of the prediction, up to 6 times maximum, in comparison of the other variables.","PeriodicalId":142369,"journal":{"name":"2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839152","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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