R. Zaitsev, M. Kirichenko, L. Zaitseva, S. Radoguz
{"title":"Automation Measurement System of Semiconductor Devices Parameters","authors":"R. Zaitsev, M. Kirichenko, L. Zaitseva, S. Radoguz","doi":"10.1109/IEPS51250.2020.9263136","DOIUrl":"https://doi.org/10.1109/IEPS51250.2020.9263136","url":null,"abstract":"The main method for determining the semiconductor devices parameters is measuring and analytical processing of their current-voltage (CV) characteristics. Measuring complexes existing today for the implementation of this method are expensive and complex systems that are not economically profitable to use in the conditions of Ukraine production. In this work, an economical automated complex for CV characteristic measurement has been developed, based on a microcontroller control system with appropriate software, which, in connection with a computer, allows to provide express certification of solar cells and semiconductor devices by their current-voltage characteristics. The testing of the complex has been shown its ability to measure the CV characteristic with a sufficiently high accuracy with an average measurement error that does not exceed than 1%.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131899686","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}
{"title":"Efficiency Analysis of Charging Station for Electric Vehicles Using the Active Rectifier in Microgrid System","authors":"G. Zhemerov, O. Plakhtii, A. Mashura","doi":"10.1109/IEPS51250.2020.9263182","DOIUrl":"https://doi.org/10.1109/IEPS51250.2020.9263182","url":null,"abstract":"The article proposes the structure of an electric vehicle charging station with active four-quadrant rectifier in power factor correction mode. The Matlab model of the proposed charging station was built, which takes into account the parameters of the mains supply, the parameters of the switches of the active rectifier and its automatic control system and equivalent model of the battery compartment. The mathematical model of the static and dynamic energy losses calculator which based on a polynomial approximation of the energy dependencies of IGBT modules was created. The analysis of the parameters of the quality of electricity, the components of the energy losses and the efficiency of the charging station on the interval of a full charge of the battery at various charge currents and the frequency of the PWM.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591039","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}
I. Khomenko, Mikhail Piskurevy, O. Plakhtii, Ivan Stasiuk, N. Karpenko, V. Nerubatskyi
{"title":"Theoretical and practical studies of electrical systems operation modes at reactive power compensation","authors":"I. Khomenko, Mikhail Piskurevy, O. Plakhtii, Ivan Stasiuk, N. Karpenko, V. Nerubatskyi","doi":"10.1109/IEPS51250.2020.9263225","DOIUrl":"https://doi.org/10.1109/IEPS51250.2020.9263225","url":null,"abstract":"The article investigates the influence of reactive power compensation on the mode parameters and the stability of electrical systems, the establishment of acceptable levels of reactive power compensation on the stability of the load nodes and synchronous generators, as well as studies of the area of self-excitation of the synchronous generator in reactive power compensation. And also examines the options of practical realization of reactive power compensation.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122866406","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}
{"title":"Forecasting of Electricity Generation by Solar Panels Using Neural Networks with Incomplete Initial Data","authors":"Y. Sayenko, T. Baranenko, Vadym Liubartsev","doi":"10.1109/IEPS51250.2020.9263085","DOIUrl":"https://doi.org/10.1109/IEPS51250.2020.9263085","url":null,"abstract":"An increase in the number of alternative energy sources, in particular solar power stations in the generation structure of the modern energy systems, makes it difficult to control such energy systems due to the inconsistency in the amount of electricity production that depends on external factors. It also leads to an increase in risks when concluding electricity supply agreements in a modern energy market. This problem may be solved by forecasting electricity by modern means, such as neural networks. In this context, due to the flexibility and nonlinearity of neural networks there is no need for source data that directly affects the generation value, and there is a possibility of using indirect data available to most alternative energy producers. This has resulted in the creation of the solution based on neural networks that allows forecasting energy production using solar panels with high accuracy on the basis of conventional meteorological data.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126442","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}
B. Gorkunov, Serhii Lvov, Anna Tyshchenko, A. Jabbar, Saliba Abdel Nour
{"title":"Method and Device for Sorting Thin-Walled Sheets of the Same Steel Grade","authors":"B. Gorkunov, Serhii Lvov, Anna Tyshchenko, A. Jabbar, Saliba Abdel Nour","doi":"10.1109/IEPS51250.2020.9263174","DOIUrl":"https://doi.org/10.1109/IEPS51250.2020.9263174","url":null,"abstract":"In this work, electromagnetic transducers for express analysis of the structure of metal sheets are considered. Several methods for increasing the sensitivity of the converter are proposed. An electromagnetic multi-resonance method for sorting thin-walled sheets of the similar steel grade manufactured at different factories is considered. Several methods for increasing the sensitivity of the transducer are proposed. The design of the primary converter is proposed to increase the sensitivity of the method. It can significantly reduce the influence of the gap between the converter and the test product, as well as reduce the influence of ambient temperature on the accuracy of control. To increase the sensitivity when monitoring differences in electromagnetic properties between standard and test products, a oscillator circuit of the primary converter is proposed.","PeriodicalId":235261,"journal":{"name":"2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699039","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}