2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)最新文献_第10页

Automatic Identification System data - potential resource for marine vessels drift studies in the Baltic Sea 自动识别系统数据-波罗的海船舶漂移研究的潜在资源

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316479

D. Cepite-Frisfelde, Vilnis Frisfelds, A. Timuhins, J. Seņņikovs

{"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":null,"pages":null},"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}

引用次数: 2

Efficiency Evaluation of Electrodes Segmentation Patterns for Metallized Film Capacitors 金属化薄膜电容器电极分割模式的效率评价

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316551

I. Ivanov, Dmitry Y. Glivenko, E. Feklistov, V. Belko, Kirill Kulbako

引用次数: 0

Short-Circuit Fault Detection and Remedial in Full-Bridge Rectifier of Series Resonant DC-DC Converter Based on Inductor Voltage Signature 基于电感电压特征的串联谐振DC-DC变换器全桥整流器短路故障检测与修复

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316482

Abualkasim Bakeer, A. Chub, D. Vinnikov

{"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":null,"pages":null},"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}

引用次数: 3

District Heating Simulation Model Development to Solve Optimization Problems in the Market Conditions 解决市场条件下优化问题的区域供热仿真模型开发

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316575

Aleksandrs Soročins, J. Nagla, V. Žentiņš

{"title":"District Heating Simulation Model Development to Solve Optimization Problems in the Market Conditions","authors":"Aleksandrs Soročins, J. Nagla, V. Žentiņš","doi":"10.1109/RTUCON51174.2020.9316575","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316575","url":null,"abstract":"The paper reviews recent attempts to create and use district heating simulation by district heat companies to solve district heat network optimization problems in the market conditions. Today's market conditions determine a higher quality product to the consumer at the lowest possible prices. In order to fulfill such requirements, it is necessary to make accurate calculations, planning, and realization in life. District heat network model conformity level to reality determines the precision of planning and implementation of optimization solutions of district heat network in life. Creating of working district heat network model for simulations is a complex task where many parameters should be taken into account. In this paper, the authors examine mistakes and solutions of case study - district heat network model structure and it's conformity to the real object (5 biggest Latvian cities). Based on case study authors developed and offered methodology that provides minimal investment solutions to correctly create a model with the level of accuracy where the model can be used for correct simulations to perform a feasibility study for new consumer connection, heat load distributing between heat sources and implementing energy efficient events in interchangeability of heat supply/power supply/gas supply systems. By using the authors methodology it is possible to develop the correct district heating simulation model, analyze the conformity of the developed model to life, and determine the level of accuracy to perform the feasibility study.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134014533","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}

引用次数: 0

Detection of inter-turn short-circuit on a Doubly Fed Induction Machine with D-Q axis representation 基于D-Q轴表示的双馈感应电机匝间短路检测

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316591

H. Bilal, N. Héraud, Eric Jean Roy Sambatra

引用次数: 4

EDUTECH - Good Practices in Cooperation between Schools and Academia Attracting Candidates for Technical Education 教育科技-学校与学术界合作的良好做法吸引技术教育候选人

2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2020-11-05 DOI: 10.1109/RTUCON51174.2020.9316614

A. Rassõlkin, T. Vaimann, K. Kudelina, M. Stępień, Kévin Berger

引用次数: 0