Journal of Electrical and power engineering最新文献

{"title":"Analysis of mathematical models of transmission lines.","authors":"G. Sheina, S. Skrypnyk","doi":"10.31474/2074-2630-2019-1-14-17","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-14-17","url":null,"abstract":"This paper investigates a mathematical model of one elements of the power supply system - power transmission lines. The type of models depends on the initial simplifications, which in turn are determined by the complexity of the physics of processes. The task of improving the accuracy of modeling of emergency processes in the power system is due to the significant complexity of modern power systems and their equipment, high-speed relay protection, automation of emergency management and the introduction of higher-speed switching equipment. One of the reasons for a significant number of serious emergencies in the system is the lack of complete and reliable information for modeling modes in the design and operation of power systems. The development of a mathematical model of a three-phase power line, which provides adequate reflection of both normal and emergency processes, is relevant. The advanced mathematical model of power transmission lines allows to investigate various operational modes of electric networks. The improved mathematical model of the power transmission line reflects all the features of physical processes at state modes and transient process and provides sufficient accuracy of the results. The type of mathematical model of power transmission lines depends on the accepted simplifications, depending on the task of research. The purpose of this work is to analyze the mathematical model of the power transmission line to study the modes of operation of the power supply system, with the possibility of its application to take into account all the design features of overhead and cable power lines. The mathematical model of the power line for the study of the modes of operation of the power supply system is analyzed. It is used to take into account the design features of overhead and cable power lines, skin effect.","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147215","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":"Study of operating conditions and consumption fuel for a gas turbine plant.","authors":"E. Lyubimenko, A. Shtepa","doi":"10.31474/2074-2630-2020-2-65-69","DOIUrl":"https://doi.org/10.31474/2074-2630-2020-2-65-69","url":null,"abstract":"Carrying out research work to determine the working conditions and determine the fuel consumption in a gas turbine installation. The descriptions of a gas turbine unit operating on gaseous fuel are presented: in normal and standby operating modes. The optimal operating mode of the gas turbine plant is combined: the production of heat and electricity. A study of the operating mode of a gas turbine unit at a constant pressure of 0.1 MPa and a temperature when air enters the compressor of a gas turbine unit with fuel combustion has been carried out. The features of the use of an energy carrier in a gas turbine unit during the year are highlighted and analyzed. The structure and current consumption of natural gas in a gas turbine unit for accounting for the consumption of energy carriers is described. As a result of the study, a substantiation of the concept of calculating the predictive function for accounting for the costs of non-renewable energy resources for a gas turbine plant, used natural gas, is proposed. This, in turn, ensures effective planning and increasing the economic efficiency of the enterprise. All this makes it possible to regulate the modes and costs of using fuel during the operation of a gas turbine unit. A study of the operating mode of the gas turbine unit at a constant pressure of 0.1 MPa and a temperature of 10 ° C was carried out, when the optimal operating mode of the gas turbine unit is the combined production of thermal and electrical energy. The choice of the predicting function by which it is better to forecast the use of the energy carrier for the current year has been proposed and substantiated. The scientific novelty of the research lies in the formulation of the substantiation of the conceptual principles for the construction of a mathematical model of the use and accounting of energy consumption based on the use of predictive functions and recommendations are provided on how to rationally use natural resources. The practical significance of the work lies in forecasting and calculating the volume of natural gas consumption (thousand m3) by the enterprise for the next year, and this, in turn, allows us to adjust the gas consumption for the future and make informed decisions on how it is possible to reduce fuel consumption or use it as efficiently as possible.","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129785670","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":"Methods and tools of ensuring the operational reliability of complex industrial facilities","authors":"V. A., Z. S.","doi":"10.31474/2074-2630-2020-1-34-40","DOIUrl":"https://doi.org/10.31474/2074-2630-2020-1-34-40","url":null,"abstract":"Approaches and algorithms for processing experimental data and data obtained as a result of using modern means of measuring equipment, selecting diagnostic parameters, pattern recognition, which constitute the methodological basis for developing methods and designing tools for creating a service system for complex industrial facilities based on predicting their performance and residual life are described in submitted article. Along with classical methods, methods based on using the full potential of the modern elemental base of microprocessor technology and the use of artificial neural networks, machine learning, and \"big data\" are discovered. The given examples can serve as the basis for constructing a methodology for the application of the considered approaches for organizing predictive maintenance of complex industrial equipment. An analytical review of a number of scientific publications showed that the creation of new automated diagnostic systems that can increase fault tolerance and extend the life of sophisticated modern power equipment is extremely relevant. For this, various approaches are applied, based on mathematical models, expert systems, artificial neural networks and other algorithms. Summarizing the results of scientific publications, it can be argued that the implementation of a systematic approach to the organization of repair service at the enterprise requires a comprehensive solution to the following urgent problems: • monitoring is formulated as the task of interrogating sensors and collecting information necessary for further analysis; • diagnostics, it is solved as tasks of identifying informative signs with further detection and classification of failures and anomalies in data sets; • improving the accuracy of algorithms aimed at pattern recognition; • condition forecasting is the task of assessing the current and accumulated readings of monitoring systems for making decisions regarding either a specific element of the complex or the facilities. Thus, modern technology make it possible to arrange arbitrarily complex algorithms. However, to use the full potential that artificial neural networks, expert systems, and classical methods for identifying and diagnosing equipment it is necessary to have a conceptual development of the foundations of building systems for organizing maintenance and repair of complex energy equipment .","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"35 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516874","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 the use of non-restored energy consumers at heating power plant","authors":"L. E., S. A., A. Y., D. O.","doi":"10.31474/2074-2630-2021-1-47-51","DOIUrl":"https://doi.org/10.31474/2074-2630-2021-1-47-51","url":null,"abstract":"Energy saving involves the development of systems for forecasting the use and accounting of energy costs. The analysis of the forecasting system for the use of natural energy in the conditions of total energy saving is carried out. The peculiarities of the use of energy in the thermal power plant during the year are identified and analyzed. The choice and forecasting of the forecasting function on which it is best to make a forecast of energy consumption for the coming year is proposed and substantiated. The structure and current costs of natural gas at TPPs for energy costs are described. As a result of the research, the substantiation of the concept of calculation of the forecasting function for the accounting of the costs of non-renewable energy resources at thermal power plants and enterprises using natural gas was proposed. This, in turn, provides for effective planning and enhancement of the economic efficiency of the enterprise. All this allows to regulate the modes and costs of fuel use during the operation of the power plant with limited volumes of natural gas. The frequency of consumption is due to seasonal heating costs, so the periodic forecasting function makes it possible to obtain a more accurate forecast than the linear prediction function. The scientific novelty of the research is to formulate the substantiation of the conceptual principles of building a mathematical model of energy use and accounting on the basis of the use of four forecasting functions and to provide recommendations on how to rationally use non-renewable natural resources. the resources available and the typical features of the automation facility. The practical significance of the work is to forecast and calculate the volume of natural gas consumption (thousand m3) by the enterprise for the next year, which in turn allows you to adjust gas costs for the future and make sound decisions as. it is possible to reduce fuel consumption or use it as efficiently as possible. The standard deviation that characterizes the forecast error is 11.55 thousand m3 . Within 95 months out of 100, the expected fluctuations of natural gas consumption relative to the values determined by the periodically predictive function are 524.4 thousand m3 . The estimated value of annual consumption of natural gas is 11868,58 thousand m3","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"53 33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127938713","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 the use of non-restored energy consumers at heating power plant.","authors":"E. Lyubimenko, A. Shtepa, Y. Artemenko","doi":"10.31474/2074-2630-2019-1-47-51","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-47-51","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129900138","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":"Mathematical modeling of transients for backup power supply of induction motor.","authors":"V. Syvokobylenko, V. Lysenko","doi":"10.31474/2074-2630-2019-1-70-83","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-70-83","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133887598","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":"Comparison of technological losses of 6 (10) kV and 20 kV electrical network.","authors":"A. Sheina, S. Skrypnyk","doi":"10.31474/2074-2630-2019-1-64-69","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-64-69","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134517695","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":"Improving the unloading capability of disk magnetic separators.","authors":"І. Shvedchykova, І. Melkonova","doi":"10.31474/2074-2630-2019-1-27-32","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-27-32","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760261","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":"System of automatic optimization of distribution press and extension at the rolling mill of the ends of the roll.","authors":"O. Shamray","doi":"10.31474/2074-2630-2019-1-52-54","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-52-54","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123574635","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":"SMathematical model for analysis of operating modes of asynchronous motor symmetric and asymmetric supply voltage","authors":"E. Niemtsev","doi":"10.31474/2074-2630-2019-1-21-26","DOIUrl":"https://doi.org/10.31474/2074-2630-2019-1-21-26","url":null,"abstract":"","PeriodicalId":174144,"journal":{"name":"Journal of Electrical and power engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125483986","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}