Pub Date : 2018-11-01DOI: 10.1109/RTUCON.2018.8659821
T. Varjas, Marko Kuusik, J. Armas, A. Rosin
Focus is on the assessment of measuring parameters of pedestrian crossings with additional lighting in Estonia and on the implementation of recommendatory measuring methods. Current coverage of normative documents is insufficient in the context of lighting unregulated pedestrian crossings; also, measurement and evaluation of the lighting parameters on crossings have been poorly covered. This paper focuses on the measurement and analysis of light parameters. Lighting was surveyed with a contemporary photographic measuring method, which enables us to define light technical parameters more effectively, to evaluate modern LED lighting and to apply safer solutions. Surveys were made on the crossroads with new LED-based lighting solutions; light-technical parameters are recommended and new solutions for safer lighting solutions on pedestrian crossings were developed.
{"title":"Assessment of pedestrian crossings measuring parameters and implementation of new measuring methods in Estonia","authors":"T. Varjas, Marko Kuusik, J. Armas, A. Rosin","doi":"10.1109/RTUCON.2018.8659821","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659821","url":null,"abstract":"Focus is on the assessment of measuring parameters of pedestrian crossings with additional lighting in Estonia and on the implementation of recommendatory measuring methods. Current coverage of normative documents is insufficient in the context of lighting unregulated pedestrian crossings; also, measurement and evaluation of the lighting parameters on crossings have been poorly covered. This paper focuses on the measurement and analysis of light parameters. Lighting was surveyed with a contemporary photographic measuring method, which enables us to define light technical parameters more effectively, to evaluate modern LED lighting and to apply safer solutions. Surveys were made on the crossroads with new LED-based lighting solutions; light-technical parameters are recommended and new solutions for safer lighting solutions on pedestrian crossings were developed.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131986495","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659813
Nguyen Dinh Dung, J. Rohács
Drones are estimated to play a critical role in the smart city, assisting with a variety of use cases: medical, transportation and agriculture. The applications of drones in the smart city will involve multiple drone platforms that operate simultaneously to run missions. Therefore, the safe and secure environment for drones' operational quality and stability is necessary. It is also essential for governments to implement regulations to enforce safe security standards and disallow the implementation of weak cybersecurity measures in live environments. The Federal Aviation Administration (FAA) predicted that 30,000 drones could be flying in U.S. skies in less than 20 years.The investigation of the drone traffic safety and development of the intelligent transportation system needs drone-following models, which describes the one-by-one following process of drones in the traffic flow. There are two types of drone-following models that are proposed and discussed in this paper. The first models based on the principle that keeps a safe distance according to relative velocity, which based on the determining of the drone acceleration depending on the differences in speeds and gaps between the given drone and its leading drone. Another model is the Markov drone-following model which is improved model based on the approximation of the stochastic diffusion process of speed decision. The simulation results show that the changes in velocities of the following drones are nearly the same as leading one.
{"title":"The drone-following models in smart cities","authors":"Nguyen Dinh Dung, J. Rohács","doi":"10.1109/RTUCON.2018.8659813","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659813","url":null,"abstract":"Drones are estimated to play a critical role in the smart city, assisting with a variety of use cases: medical, transportation and agriculture. The applications of drones in the smart city will involve multiple drone platforms that operate simultaneously to run missions. Therefore, the safe and secure environment for drones' operational quality and stability is necessary. It is also essential for governments to implement regulations to enforce safe security standards and disallow the implementation of weak cybersecurity measures in live environments. The Federal Aviation Administration (FAA) predicted that 30,000 drones could be flying in U.S. skies in less than 20 years.The investigation of the drone traffic safety and development of the intelligent transportation system needs drone-following models, which describes the one-by-one following process of drones in the traffic flow. There are two types of drone-following models that are proposed and discussed in this paper. The first models based on the principle that keeps a safe distance according to relative velocity, which based on the determining of the drone acceleration depending on the differences in speeds and gaps between the given drone and its leading drone. Another model is the Markov drone-following model which is improved model based on the approximation of the stochastic diffusion process of speed decision. The simulation results show that the changes in velocities of the following drones are nearly the same as leading one.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117006351","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659909
R. Oļekšijs, O. Linkevičs
This paper analyzes possibilities to use photovoltaic systems for industry self-consumption needs. Study was made based on installed photovoltaic system data. Three solutions are compared: use of fixed photovoltaic panels, use panels with one axis tracking system and use of dual axis tracking system. NPV calculations was made for different scenarios and provides data which should help to make decision whether to use or not photovoltaic panels for industry self-consumption.
{"title":"Photovoltaic system aplication for industry self consumption needs","authors":"R. Oļekšijs, O. Linkevičs","doi":"10.1109/RTUCON.2018.8659909","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659909","url":null,"abstract":"This paper analyzes possibilities to use photovoltaic systems for industry self-consumption needs. Study was made based on installed photovoltaic system data. Three solutions are compared: use of fixed photovoltaic panels, use panels with one axis tracking system and use of dual axis tracking system. NPV calculations was made for different scenarios and provides data which should help to make decision whether to use or not photovoltaic panels for industry self-consumption.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115673945","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659818
M. Gorobetz, Ivars Alps, A. Beinarovica, A. Levchenkov
In this paper proposed algorithm solves the problem of the trains passing through the red light and thus decrease the dangerous level of railway transportation process. System structure, based on the embedded electronic device with artificial intelligence, is proposed and described in the paper. To gain the better results, the research was divided in four tasks: railway traffic light recognition, railway traffic light red signal recognition, decision making to start braking and finally generate appropriate signal to locomotive’s transmission and braking control system.
{"title":"Algorithm of Signal Recognition for Railway Embedded Control Devices","authors":"M. Gorobetz, Ivars Alps, A. Beinarovica, A. Levchenkov","doi":"10.1109/RTUCON.2018.8659818","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659818","url":null,"abstract":"In this paper proposed algorithm solves the problem of the trains passing through the red light and thus decrease the dangerous level of railway transportation process. System structure, based on the embedded electronic device with artificial intelligence, is proposed and described in the paper. To gain the better results, the research was divided in four tasks: railway traffic light recognition, railway traffic light red signal recognition, decision making to start braking and finally generate appropriate signal to locomotive’s transmission and braking control system.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122899378","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 : 2018-11-01DOI: 10.1109/rtucon.2018.8659827
I. Dvornikov, Marks Marinbahs, Oļegs Sļiskis, Kārlis Ketners
Electric traction is one of the most promising technologies that can lead to significant improvements in vehicle performance, energy utilization efficiency, and pollution emissions. This paper presents various solutions for the power traction motors of hybrid electric vehicle (HEV), that is the most promising technology that has the advantages of high performance, high fuel efficiency, low emissions and long operating range [1]. The paper describes the development of the simulation model for a hybrid electric traction using MATLAB Simulink. Simulation results are presented below.
{"title":"Investigation of autonomous traction motor dynamic using method of mutual loading and computer simulation","authors":"I. Dvornikov, Marks Marinbahs, Oļegs Sļiskis, Kārlis Ketners","doi":"10.1109/rtucon.2018.8659827","DOIUrl":"https://doi.org/10.1109/rtucon.2018.8659827","url":null,"abstract":"Electric traction is one of the most promising technologies that can lead to significant improvements in vehicle performance, energy utilization efficiency, and pollution emissions. This paper presents various solutions for the power traction motors of hybrid electric vehicle (HEV), that is the most promising technology that has the advantages of high performance, high fuel efficiency, low emissions and long operating range [1]. The paper describes the development of the simulation model for a hybrid electric traction using MATLAB Simulink. Simulation results are presented below.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121794002","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659854
F. Casesnoves
This contribution follows previous publications in Integral-Differential Model for mechanical systems of power plants. The objective of research was to obtain practical mathematical algorithms to optimize the probability of cracks/breaks of the mechanical system by impact erosion wear. Probability of failure concept and its mathematical formulation are developed to set algorithms for lifetime determination of mechanical systems .In other words, to prevent unexpected mechanical failures by severe damage of mechanical parts that could lead to power plant stops for repair. Firstable, the article presents the fundamental formulation/mathematical-definitions for lifetime determination and probability of failure of a mechanical system—with focus on further applications for Integral Differential model. Subsequently, a series of modeling optimization and simulations are shown with Gaussian models and stochastic ones. Methods applied in programming are outlined in brief and software development is explained. Formal results are a group of Bayesian formulas, computational graphs and numerical database charts to support the initial hypotheses and mathematical framework. Practical engineering-tribological consequences for optimal operation of power plants derive from the basics of the study.
{"title":"OPTIMIZATION OF MECHANICAL PROBABILITY OF FAILURE WITH INTEGRAL-DIFFERENTIAL MODEL FOR POWER PLANTS OPERATION : A series of computational formulas/simulations with stochastic-optimization methods","authors":"F. Casesnoves","doi":"10.1109/RTUCON.2018.8659854","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659854","url":null,"abstract":"This contribution follows previous publications in Integral-Differential Model for mechanical systems of power plants. The objective of research was to obtain practical mathematical algorithms to optimize the probability of cracks/breaks of the mechanical system by impact erosion wear. Probability of failure concept and its mathematical formulation are developed to set algorithms for lifetime determination of mechanical systems .In other words, to prevent unexpected mechanical failures by severe damage of mechanical parts that could lead to power plant stops for repair. Firstable, the article presents the fundamental formulation/mathematical-definitions for lifetime determination and probability of failure of a mechanical system—with focus on further applications for Integral Differential model. Subsequently, a series of modeling optimization and simulations are shown with Gaussian models and stochastic ones. Methods applied in programming are outlined in brief and software development is explained. Formal results are a group of Bayesian formulas, computational graphs and numerical database charts to support the initial hypotheses and mathematical framework. Practical engineering-tribological consequences for optimal operation of power plants derive from the basics of the study.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126433319","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659874
Teemu Nurmi, P. Karhu, Ella Leppänen, Sami Herranen, P. Holopainen, S. Kalabin, Kasperi Koimäki, Jere Luoma-Aho, Iida Salmivesi, J. Tammi, Martin Vidjeskog, J. Millar
This paper summarizes the work of two studies (2016 and 2017) into whether electricity grid connection is economically beneficial when solar, or solar and wind generation is locally installed to an island community in the south of Finland. Three types of customer groups were considered: summer cottages, free-standing energy houses and a camping site. Approximated consumption time series based on measured data and simulated time series data for wind and solar production based on rigorous statistical modelling were used to make a sober assessment of the viability of the scenarios. It transpired that, based on 2016 costs for the solar-only option, and 2017 costs for the solar and wind option, that it is more economical to make a 7 km MV feeder connection to a primary substation than invest in the backup generation and storage necessary to provide supply to even the summer-only demand scenarios. The methodology is outlined with reference to full reports available online.
{"title":"To Grid or Not to Grid : Viability of Standalone Distribution Networks in the Far North","authors":"Teemu Nurmi, P. Karhu, Ella Leppänen, Sami Herranen, P. Holopainen, S. Kalabin, Kasperi Koimäki, Jere Luoma-Aho, Iida Salmivesi, J. Tammi, Martin Vidjeskog, J. Millar","doi":"10.1109/RTUCON.2018.8659874","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659874","url":null,"abstract":"This paper summarizes the work of two studies (2016 and 2017) into whether electricity grid connection is economically beneficial when solar, or solar and wind generation is locally installed to an island community in the south of Finland. Three types of customer groups were considered: summer cottages, free-standing energy houses and a camping site. Approximated consumption time series based on measured data and simulated time series data for wind and solar production based on rigorous statistical modelling were used to make a sober assessment of the viability of the scenarios. It transpired that, based on 2016 costs for the solar-only option, and 2017 costs for the solar and wind option, that it is more economical to make a 7 km MV feeder connection to a primary substation than invest in the backup generation and storage necessary to provide supply to even the summer-only demand scenarios. The methodology is outlined with reference to full reports available online.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126059317","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659879
K. Murari, N. Padhy
Recent developments in the power converter technology and the need for better power quality/reliability, have necessitated the integration of AC and DC grids. The realization of AC-DC distribution network has become more rational with the increase in renewable generations and DC electronic loads. There are numerous technical advantages of using DC power in conjunction with AC power in distribution systems. But for widespread utilization of AC-DC distribution network, the economic impact of aforementioned technology on the affiliated customers needs to be inspected. Distribution use of system (DUoS) charges is an eminent means for scrutinizing the economics related to an AC-DC distribution system in transferring power to its associated users. This article presents a MW+MVAr-Miles methodology for DUoS charges calculation. The proposed network pricing mechanism reward the users working at better power factors and efficiently utilizing the network, while forfeiting those who don’t. As a result, the proposed pricing model encourages users to act in a manner for the betterment of the system condition. The aforesaid analysis will enables to realize the economic benefits or detriments of an AC-DC distribution system in distributing power to customers.
{"title":"Framework for Assessing the Economic Impacts of AC-DC Distribution Network on the Consumers","authors":"K. Murari, N. Padhy","doi":"10.1109/RTUCON.2018.8659879","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659879","url":null,"abstract":"Recent developments in the power converter technology and the need for better power quality/reliability, have necessitated the integration of AC and DC grids. The realization of AC-DC distribution network has become more rational with the increase in renewable generations and DC electronic loads. There are numerous technical advantages of using DC power in conjunction with AC power in distribution systems. But for widespread utilization of AC-DC distribution network, the economic impact of aforementioned technology on the affiliated customers needs to be inspected. Distribution use of system (DUoS) charges is an eminent means for scrutinizing the economics related to an AC-DC distribution system in transferring power to its associated users. This article presents a MW+MVAr-Miles methodology for DUoS charges calculation. The proposed network pricing mechanism reward the users working at better power factors and efficiently utilizing the network, while forfeiting those who don’t. As a result, the proposed pricing model encourages users to act in a manner for the betterment of the system condition. The aforesaid analysis will enables to realize the economic benefits or detriments of an AC-DC distribution system in distributing power to customers.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134549110","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659894
I. Polyakov, A. Pazderin, Olga Malozemova
In recent times the automation level of distribution networks (DN) are growing. Different calculation methods are beginning to appear in the area to monitor operation conditions. One such method is state estimation (SE). The current power system model is necessary for most of calculations. These models should be three-phase to simulate usymmetrical operation conditions. Taking into consideration that DN have a large scale and a lot of control objects, and some of their equipment does not have state signals, model information updating is difficult task for topology processor. Consequently, some equipment in the current model may be in a wrong state. Thus, topology errors analysis is of crucial importance for DN. There is the method that utilized SE results for checking of network element states. It based on normalizing residuals analysis and can be apply to positive sequence power system models. The method does not affect the SE duration, since it can be performed on an individual computer. The paper proposes modified topology error processing for three-phase power system models. It can be employed for errors detection and identification in DN equipment state.
{"title":"Topology error processing in distribution networks by normalized residuals analysis of three-phase models","authors":"I. Polyakov, A. Pazderin, Olga Malozemova","doi":"10.1109/RTUCON.2018.8659894","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659894","url":null,"abstract":"In recent times the automation level of distribution networks (DN) are growing. Different calculation methods are beginning to appear in the area to monitor operation conditions. One such method is state estimation (SE). The current power system model is necessary for most of calculations. These models should be three-phase to simulate usymmetrical operation conditions. Taking into consideration that DN have a large scale and a lot of control objects, and some of their equipment does not have state signals, model information updating is difficult task for topology processor. Consequently, some equipment in the current model may be in a wrong state. Thus, topology errors analysis is of crucial importance for DN. There is the method that utilized SE results for checking of network element states. It based on normalizing residuals analysis and can be apply to positive sequence power system models. The method does not affect the SE duration, since it can be performed on an individual computer. The paper proposes modified topology error processing for three-phase power system models. It can be employed for errors detection and identification in DN equipment state.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115591411","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 : 2018-11-01DOI: 10.1109/RTUCON.2018.8659869
Jonas Vaišnys, A. Jonaitis, S. Gudzius, Vaidotas Marušauskas, Villus Malažinskas, Paulius Kozlovas
Renewable energy usage has increased in past years. Since the amount of energy generated from renewable sources has increased it raised new challenges to energy system Renewable energy power generation is more complicated to control and it can have a technical impact in main grid components such as power transformers. All electrical energy system is most effective when used in constant working mode. Renewable energy resources are hard to predict and also their energy generation is very unstable. Lifetime of the power transformers used in alternating regime is lower than the ones used in stable load. Renewable energy is new solution in electrical energy systems and their impact to grid and it elements need to be studied and decreased.
{"title":"Power transformer working regime analysis in photovoltaic power stations","authors":"Jonas Vaišnys, A. Jonaitis, S. Gudzius, Vaidotas Marušauskas, Villus Malažinskas, Paulius Kozlovas","doi":"10.1109/RTUCON.2018.8659869","DOIUrl":"https://doi.org/10.1109/RTUCON.2018.8659869","url":null,"abstract":"Renewable energy usage has increased in past years. Since the amount of energy generated from renewable sources has increased it raised new challenges to energy system Renewable energy power generation is more complicated to control and it can have a technical impact in main grid components such as power transformers. All electrical energy system is most effective when used in constant working mode. Renewable energy resources are hard to predict and also their energy generation is very unstable. Lifetime of the power transformers used in alternating regime is lower than the ones used in stable load. Renewable energy is new solution in electrical energy systems and their impact to grid and it elements need to be studied and decreased.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525209","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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