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2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)最新文献

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Improving the Efficiency of Solar Power Plants Based on Forecasting the Intensity of Solar Radiation Using Artificial Neural Networks 基于人工神经网络预测太阳辐射强度提高太阳能发电厂效率
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570009
O. Savchenko, O. Miroshnyk, O. Moroz, I. Trunova, Anatolii Sereda, Sergii Dudnikov, O. Kozlovskyi, R. Buinyi, S. Halko
{"title":"Improving the Efficiency of Solar Power Plants Based on Forecasting the Intensity of Solar Radiation Using Artificial Neural Networks","authors":"O. Savchenko, O. Miroshnyk, O. Moroz, I. Trunova, Anatolii Sereda, Sergii Dudnikov, O. Kozlovskyi, R. Buinyi, S. Halko","doi":"10.1109/KhPIWeek53812.2021.9570009","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570009","url":null,"abstract":"The method of forecasting of the generation of solar power plants on the basis of the theory of artificial neural networks is proposed. Creating a predictive model has been carried out in the STATISTICA software package. To predict the energy of solar radiation for 24 hours in advance, the so-called “time window” method was used. To predict the intensity of solar radiation, measurements of hydro meteorological station were used. During simulation, the width of the input “time window” was set to 24 hours, the width of the output “time window” was set to 1 hours. Thus, the “time window” was shifted 24 times. The practical results of the article are offered to the use of enterprises operating solar power plants.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432409","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: 4
Neurocontroller for Vibrodrive Control of Adaptive Vibration Technological Machines 自适应振动加工机械振驱控制的神经控制器
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570058
R. Chubyk, I. Zelinsky, O. Cherno
{"title":"Neurocontroller for Vibrodrive Control of Adaptive Vibration Technological Machines","authors":"R. Chubyk, I. Zelinsky, O. Cherno","doi":"10.1109/KhPIWeek53812.2021.9570058","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570058","url":null,"abstract":"A structure of the neurocontroller-based control system for the vibratory drive of adaptive vibration technological machines is proposed. It allows implementing a two-circuit system of neurocontrol of energy and technological parameters of vibration devices.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925154","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: 1
Computer Modeling and Simulation Analysis of Linear and Nonlinear Phenomena of Rotor Dynamics in Systems with Magnetic Bearings 含磁轴承系统转子动力学线性和非线性现象的计算机建模与仿真分析
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570097
Gennadii Martynenko, V. Martynenko
{"title":"Computer Modeling and Simulation Analysis of Linear and Nonlinear Phenomena of Rotor Dynamics in Systems with Magnetic Bearings","authors":"Gennadii Martynenko, V. Martynenko","doi":"10.1109/KhPIWeek53812.2021.9570097","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570097","url":null,"abstract":"The paper considers specialized original computer software for calculating and analyzing parameters of rotor dynamics taking into account various types of magnetic bearings (MBs). The object of research is the dynamics of rotors in magnetic bearings, taking into account interconnected electromagnetic and mechanical controlled processes. The main aim is to simulate and visualize the non-linear phenomena of rotor dynamics with presentation of the results in graphical and textual form, which is adapted for determination of dynamic characteristics. A mathematical description uses an analytical model. It is based on the Lagrange-Maxwell differential equations in the form similar to the Routh equations in mechanics. Implementation of computer modeling and visualization of nonlinear phenomena of dynamics of a rotor in a magnetic field was performed using a computer mathematics system in the form of a nonlinear simulation computational model of dynamics of rotors in passive and active magnetic bearings (SCM-DRMB-N). This simulation model has an ability to construct vibrograms, spectrograms, motion paths, phase trajectories and stroboscopic Poincare sections, as well as three-dimensional spectra, amplitude-frequency characteristics and dependences of amplitudes of sub- and superharmonics on rotation speed for selected rotor points. Verification of SCM-DRMB-N was performed by comparing the results with calculated and experimental data for existing rotor systems.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117060538","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
Analysis of the Impact of Wind Power Plants on Electric Networks Operation Modes 风力发电厂对电网运行模式的影响分析
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570008
O. Dovgalyuk, H. Omelianenko, R. Bondarenko, I. Yakovenko, S. Saidov, Yuriy Pryvalov
{"title":"Analysis of the Impact of Wind Power Plants on Electric Networks Operation Modes","authors":"O. Dovgalyuk, H. Omelianenko, R. Bondarenko, I. Yakovenko, S. Saidov, Yuriy Pryvalov","doi":"10.1109/KhPIWeek53812.2021.9570008","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570008","url":null,"abstract":"Development features of wind energy in the world and in Ukraine are analyzed. The main advantages and development prospects for this industry are identified. The wind power plants main characteristics as electric networks elements are «con-sidered and the need to study their influence on the electric networks modes is justified. An analysis of the established electric networks operation modes, electricity quality indicators and the static stability margin after connecting wind plant was carried out.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124069201","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: 1
Elimination of self-oscillation mode in a thyristor-controlled induction electric drive 在可控硅控制的感应电力驱动中消除自振荡模式
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570081
Y. Shurub, V. Vasilenkov
{"title":"Elimination of self-oscillation mode in a thyristor-controlled induction electric drive","authors":"Y. Shurub, V. Vasilenkov","doi":"10.1109/KhPIWeek53812.2021.9570081","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570081","url":null,"abstract":"The features of the dynamics of the open-loop system “single-phase thyristor voltage converter - induction motor”, due to the presence of internal nonlinear positive feedback on the conduction angle of thyristors, are considered. The structural diagram and transfer functions of the harmonically linearised system are obtained, taking into account the nonlinearities of internal feedback, and the conditions for stable operation without self-oscillations are determined, depending on the parameters of the drive.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132057131","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
Using Statistical Decision Methods to Correct the Maximum Permissible Values of Transformer Oils Indicators 用统计决策方法校正变压器油指标的最大允许值
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570041
O. Shutenko, S. Ponomarenko
{"title":"Using Statistical Decision Methods to Correct the Maximum Permissible Values of Transformer Oils Indicators","authors":"O. Shutenko, S. Ponomarenko","doi":"10.1109/KhPIWeek53812.2021.9570041","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570041","url":null,"abstract":"The paper presents the results of adjusting the maximum permissible values of transformer oils indicators using statistical decision methods. The features of practical determination of maximum permissible values of breakdown voltage of transformer oils using integral functions (survival function), minimum number of wrong decisions method, minimum risk method and Neyman-Pearson method are considered. Results of the comparative analysis of values of probabilities of correct decisions, I- and II-type errors, wrong decisions, correction of maximum permissible values of breakdown voltage and values of possible risks which accompany the use of maximum permissible values obtained with the use of these methods and regulated by international and national standards are presented. The results of the analysis show that it is more appropriate to correct the limit values of oil indicators using the minimum risk method. At the same time, the results did not allow the authors to recommend the minimum number of wrong decisions method for correction of maximum permissible values of oil indicators.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336071","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
Dynamic Analysis of Energy Consumption During Substrate Fermentation in a Biogas Reactor 沼气反应器发酵过程中能量消耗的动态分析
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9569995
M. Zablodskiy, M. Spodoba
{"title":"Dynamic Analysis of Energy Consumption During Substrate Fermentation in a Biogas Reactor","authors":"M. Zablodskiy, M. Spodoba","doi":"10.1109/KhPIWeek53812.2021.9569995","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9569995","url":null,"abstract":"The article is devoted to the issue of thermal distribution in a biogas reactor during anaerobic fermentation of biomass. The mathematical model used in this work allows us to fully investigate the dynamics of temperature change of each object, solid or rare, which participates in the heating process and determine the amount of energy required for the process of thermal stabilization of anaerobic fermentation, taking into account: initial temperatures medium, mixing frequency, substrate movement mode, anaerobic fermentation temperature regime, wind speed and physicochemical parameters of the substrate and objects involved in the thermal stabilization process, type of mixing device and power of the electric heating cable. In the article, a dynamic analysis was carried out, which made it possible for the first time to establish the required amount of energy for heating the substrate and to obtain the dependences of the temperature change of the electric heating cable and other objects involved in the process of thermal stabilization of anaerobic fermentation. Given the results presented in the article, it is possible to create energy-efficient systems automatic control mixing and heating of the substrate in biogas reactors, which will increase the profitability of the biogas plant.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126251406","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
Modernization of a Simulation Model of a Photovoltaic Module, by Accounting for the Effect of Snowing of Photovoltaic Panels on System Performance with Correction for Panel Cleaning for Matlab Simulink 基于Matlab Simulink的光伏组件仿真模型现代化——考虑光伏板降雪对系统性能的影响，并对面板清洗进行校正
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570030
S. Shevchenko, D. Danylchenko, S. Dryvetskyi, A. Potryvai
{"title":"Modernization of a Simulation Model of a Photovoltaic Module, by Accounting for the Effect of Snowing of Photovoltaic Panels on System Performance with Correction for Panel Cleaning for Matlab Simulink","authors":"S. Shevchenko, D. Danylchenko, S. Dryvetskyi, A. Potryvai","doi":"10.1109/KhPIWeek53812.2021.9570030","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570030","url":null,"abstract":"The paper proposes two block models that allow to bring the simulation model of a solar power plant closer to the prediction of generation under operating conditions, by taking into account the effect of snowing of the PV module surface on the generation of the solar power plant and the effect of artificial cleaning.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"25 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122962996","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: 12
Investigation of the Transverse-Flux Disk-Rotor Generator 横向磁通盘转子发电机的研究
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9569972
O. Duniev, Andrii Yehorov, A. Masliennikov, M. Stamann, O. Dobzhanskyi
{"title":"Investigation of the Transverse-Flux Disk-Rotor Generator","authors":"O. Duniev, Andrii Yehorov, A. Masliennikov, M. Stamann, O. Dobzhanskyi","doi":"10.1109/KhPIWeek53812.2021.9569972","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9569972","url":null,"abstract":"This article presents the experimental analysis of the transverse flux generator magnetic system. The experiments under active load, in no-load mode and in short-circuit mode was carried out at different speeds. The presented experimental results were supported by the 3D simulation model in ANSYS Maxwell software. The graphs efficiency and output power of transverse flux generator with and without magnetic shunts were obtained and compared at different speeds.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121821106","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
Use of Capacitor Batteries to Improve the Quality of Electrical Energy 利用电容电池提高电能质量
2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2021-09-13 DOI: 10.1109/KhPIWeek53812.2021.9570023
S. Shevchenko, D. Danylchenko, Dmytro Kuznetsov, Serhii Petrov
{"title":"Use of Capacitor Batteries to Improve the Quality of Electrical Energy","authors":"S. Shevchenko, D. Danylchenko, Dmytro Kuznetsov, Serhii Petrov","doi":"10.1109/KhPIWeek53812.2021.9570023","DOIUrl":"https://doi.org/10.1109/KhPIWeek53812.2021.9570023","url":null,"abstract":"The article deals with the installation of capacitor batteries. The question of the relevance of their installation in the power system of Ukraine. Presented real objects where capacitor batteries are installed. Shows the main difficulties and errors in the design of capacitor banks. Data showing the reduction of losses of electrical energy and voltage drop when installing capacitor banks. Differences between automatic and non-regulated capacitor banks are discussed.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125100028","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
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