Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655764
A. Egorov, Alena Savosina, Mariya A. Sadokhina
There is significant volumes of construction and commissioning of solar and wind power plants since 2014 in the United power system of Russia, therefore new engineering tasks are being set for Russian power engineers. Operating modesof solar and wind power plants directly depend on external uncontrollable factors - solar and wind activity. An additional feature of the planning of the wind and solar power plants operation modes is their instantaneous termination of power output in the event of the disappearance of the wind or the sun, respectively. Therefore, the termination of the power output is a “failure”, which creates an imbalance of active power in the system. To cover it, it is necessary to place active power reserves at the thermal or hydro power plants in advance, and the value of this reserve should be equal to the capacity of the largest wind and/or solar power plant. Systematic and consolidated information on the composition, quantity and installed capacity of wind and solar power plants in the United power system of Russia is not published in the public domain. Therefore, the purpose of this study is to establish the quantity and installed capacity of wind and solar power plants, as well as to identify the most powerful wind and solar power plants in Russia.
{"title":"Research of the Number and Installed Capacity of Solar and Wind Power Plants in Interregional and Regional Power Systems in the Russian UPS","authors":"A. Egorov, Alena Savosina, Mariya A. Sadokhina","doi":"10.1109/USSEC53120.2021.9655764","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655764","url":null,"abstract":"There is significant volumes of construction and commissioning of solar and wind power plants since 2014 in the United power system of Russia, therefore new engineering tasks are being set for Russian power engineers. Operating modesof solar and wind power plants directly depend on external uncontrollable factors - solar and wind activity. An additional feature of the planning of the wind and solar power plants operation modes is their instantaneous termination of power output in the event of the disappearance of the wind or the sun, respectively. Therefore, the termination of the power output is a “failure”, which creates an imbalance of active power in the system. To cover it, it is necessary to place active power reserves at the thermal or hydro power plants in advance, and the value of this reserve should be equal to the capacity of the largest wind and/or solar power plant. Systematic and consolidated information on the composition, quantity and installed capacity of wind and solar power plants in the United power system of Russia is not published in the public domain. Therefore, the purpose of this study is to establish the quantity and installed capacity of wind and solar power plants, as well as to identify the most powerful wind and solar power plants in Russia.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008253","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655733
F. Tarasov, E. Shmakov
The paper is concerned with numerical study of parameters of the magnetic system for induction heating of the large-size installations. The paper is included in a papers series concerning development of the installation for maintaining the specified pressing tool temperature for a long time period, more than 24 hours. Induction heating is the basic heating mechanism. Studies of the inductor parameters depending on the power frequency are presented in this section of the paper. Study of the power supply parameters is the objective of the paper. The studies were performed using numerical modeling in a three-dimensional formulation by the finite element method. The study of the frequency influence of the inductor supply on the coils resistance and the power factor in the range of 0 - 60 kHz has been carried out. Numerical results have shown that increasing the frequency leads to a linear increase in the resistance of the coils and a decrease in the power factor.
{"title":"Induction Heating of the Large-Size Installations. Part 2. Study of the Power Supply Parameters","authors":"F. Tarasov, E. Shmakov","doi":"10.1109/USSEC53120.2021.9655733","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655733","url":null,"abstract":"The paper is concerned with numerical study of parameters of the magnetic system for induction heating of the large-size installations. The paper is included in a papers series concerning development of the installation for maintaining the specified pressing tool temperature for a long time period, more than 24 hours. Induction heating is the basic heating mechanism. Studies of the inductor parameters depending on the power frequency are presented in this section of the paper. Study of the power supply parameters is the objective of the paper. The studies were performed using numerical modeling in a three-dimensional formulation by the finite element method. The study of the frequency influence of the inductor supply on the coils resistance and the power factor in the range of 0 - 60 kHz has been carried out. Numerical results have shown that increasing the frequency leads to a linear increase in the resistance of the coils and a decrease in the power factor.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"525 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133285303","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655725
A. Fedorov, V. Petrov, Mariya Ubaseva, V. Naumov
The difficulty in using single-end traveling wave fault location is a necessity to identify the traveling wave reflected from fault among the background traveling waves, arriving at the locator installation after reflection from various electrical system discontinuities. In the known methods, the coincidence of the considered traveling wave front polarity with the first one is used as a criterion for selecting the traveling wave reflected from fault. The criterion is based on the assumption that the characteristic impedance of the electrical system adjacent to the protected power line is less than the characteristic impedance of the protected power line. In many cases, this assumption is justified, but there are examples of electrical systems in which this condition is not met. In such systems, the mentioned methods lose their performance due to incorrect criterion for selecting the traveling wave, reflected from the fault. This paper proposes an adaptive single-end traveling wave fault location method, based on taking into account the ratio of the characteristic impedance of the adjacent electrical system and characteristic impedance of the protected power line when identifying the traveling wave reflected from fault.
{"title":"Adaptive Single-End Fault Location Method","authors":"A. Fedorov, V. Petrov, Mariya Ubaseva, V. Naumov","doi":"10.1109/USSEC53120.2021.9655725","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655725","url":null,"abstract":"The difficulty in using single-end traveling wave fault location is a necessity to identify the traveling wave reflected from fault among the background traveling waves, arriving at the locator installation after reflection from various electrical system discontinuities. In the known methods, the coincidence of the considered traveling wave front polarity with the first one is used as a criterion for selecting the traveling wave reflected from fault. The criterion is based on the assumption that the characteristic impedance of the electrical system adjacent to the protected power line is less than the characteristic impedance of the protected power line. In many cases, this assumption is justified, but there are examples of electrical systems in which this condition is not met. In such systems, the mentioned methods lose their performance due to incorrect criterion for selecting the traveling wave, reflected from the fault. This paper proposes an adaptive single-end traveling wave fault location method, based on taking into account the ratio of the characteristic impedance of the adjacent electrical system and characteristic impedance of the protected power line when identifying the traveling wave reflected from fault.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424456","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655763
A. Osintsev, Oleg V. Tanfiliev
This article analyzes the existing methods for determining the effects of faults, which are used in starting elements for instability prevention automation. Such a starting element is the power station unloading automation in case of fault. Currently, several methods for determining the the effects of faults have been used in this automation. Algorithms by the positive-sequence active power shedding of generating units relative to the power of prefault condition are most often found in emergency control devices and have certain advantages over the method of determining the effects of faults by the positive-sequence voltage on the station bus. But even such algorithms can lead to redundancy of action adjustments. An approach is proposed to improve these algorithms in order to minimize the redundancy of them. The section “Algorithm Development” contains structure, basic principles of operation and functional diagrams of the proposed solutions. Finally, an assessment of the effect of introducing a more accurate account of the areas of stable state of power plants is given.
{"title":"Improving The Algorithm Of Power Station Unloading Automation In Case Of Fault","authors":"A. Osintsev, Oleg V. Tanfiliev","doi":"10.1109/USSEC53120.2021.9655763","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655763","url":null,"abstract":"This article analyzes the existing methods for determining the effects of faults, which are used in starting elements for instability prevention automation. Such a starting element is the power station unloading automation in case of fault. Currently, several methods for determining the the effects of faults have been used in this automation. Algorithms by the positive-sequence active power shedding of generating units relative to the power of prefault condition are most often found in emergency control devices and have certain advantages over the method of determining the effects of faults by the positive-sequence voltage on the station bus. But even such algorithms can lead to redundancy of action adjustments. An approach is proposed to improve these algorithms in order to minimize the redundancy of them. The section “Algorithm Development” contains structure, basic principles of operation and functional diagrams of the proposed solutions. Finally, an assessment of the effect of introducing a more accurate account of the areas of stable state of power plants is given.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124844379","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655742
A. Khalyasmaa, P. Matrenin, S. Eroshenko
The paper discusses the operational risk in intelligent systems for forecasting time series. Typically, when developing and testing regression models based on machine learning, their accuracy is calculated over a long time interval, from several months to several years, and then is averaged. However, in the real-life operation of such systems, the customer is likely to draw a conclusion about the system efficiency based on the results of the first 2–4 weeks of operation. If one or several large errors appear on this short interval, they will not be averaged as it happens over a long one. As a result, there is a risk of failure in the intelligent forecasting system implementation due to the discrepancy between the calculated mean error and that obtained over a short time period at the start of operation. This study considers the problem of solar power plant generation short-term forecasting, analyzes the distribution of errors over short time periods, and substantiates the need to use more detailed accuracy metrics of machine learning models than the error values averaged over a long interval.
{"title":"Averaged Errors as a Risk Factor for Intelligent Forecasting Systems Operation in the Power Industry","authors":"A. Khalyasmaa, P. Matrenin, S. Eroshenko","doi":"10.1109/USSEC53120.2021.9655742","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655742","url":null,"abstract":"The paper discusses the operational risk in intelligent systems for forecasting time series. Typically, when developing and testing regression models based on machine learning, their accuracy is calculated over a long time interval, from several months to several years, and then is averaged. However, in the real-life operation of such systems, the customer is likely to draw a conclusion about the system efficiency based on the results of the first 2–4 weeks of operation. If one or several large errors appear on this short interval, they will not be averaged as it happens over a long one. As a result, there is a risk of failure in the intelligent forecasting system implementation due to the discrepancy between the calculated mean error and that obtained over a short time period at the start of operation. This study considers the problem of solar power plant generation short-term forecasting, analyzes the distribution of errors over short time periods, and substantiates the need to use more detailed accuracy metrics of machine learning models than the error values averaged over a long interval.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125954028","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655748
N. Batseva, V. Sukhorukov
The aim of this research is a software implementation of the adaptive heavy-loaded trajectory identification algorithm by development of the program and its testing at controlled sections of 500 kV power grid. Previously, developed algorithm of the adaptive heavy-loaded trajectory identification makes it possible to identify the heavy-loaded trajectory using a current power system digital model relatively to a current power system state. The algorithm, in calculating limited active power flows in terms of small-signal aperiodic stability and monitoring small signal aperiodic stability violation in the researched controlled section precisely, uses such criteria as voltage levels at the ends of researched and adjacent controlled sections connections, as well as normalized angles through these connections. A software implementation of the adaptive heavy-loaded trajectory identification algorithm is performed using the object-oriented programming language C# in the development environment Microsoft Visual Studio applying AstraLib library of RastrWin3 software. The program is tested at controlled section No.1, which is the part of 500 kV transit of the chain structure. Calculated values of limited active power flows manually and using the program applying the adaptive heavy-loaded trajectory identification algorithm differ by 62 MW or 2.3%, which does not exceed 5% error value. Developed “Adaptive heavy-loaded trajectory identification” program allows calculating values of limited active power flows for a current power system state automatically. A promising direction of the program development is decreasing the running time of program operation and program modification for the identification of the adaptive heavy-loaded trajectory in circular and multi-closed structures.
{"title":"Automation of the Adaptive Heavy-Loaded Trajectory Identification Algorithm","authors":"N. Batseva, V. Sukhorukov","doi":"10.1109/USSEC53120.2021.9655748","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655748","url":null,"abstract":"The aim of this research is a software implementation of the adaptive heavy-loaded trajectory identification algorithm by development of the program and its testing at controlled sections of 500 kV power grid. Previously, developed algorithm of the adaptive heavy-loaded trajectory identification makes it possible to identify the heavy-loaded trajectory using a current power system digital model relatively to a current power system state. The algorithm, in calculating limited active power flows in terms of small-signal aperiodic stability and monitoring small signal aperiodic stability violation in the researched controlled section precisely, uses such criteria as voltage levels at the ends of researched and adjacent controlled sections connections, as well as normalized angles through these connections. A software implementation of the adaptive heavy-loaded trajectory identification algorithm is performed using the object-oriented programming language C# in the development environment Microsoft Visual Studio applying AstraLib library of RastrWin3 software. The program is tested at controlled section No.1, which is the part of 500 kV transit of the chain structure. Calculated values of limited active power flows manually and using the program applying the adaptive heavy-loaded trajectory identification algorithm differ by 62 MW or 2.3%, which does not exceed 5% error value. Developed “Adaptive heavy-loaded trajectory identification” program allows calculating values of limited active power flows for a current power system state automatically. A promising direction of the program development is decreasing the running time of program operation and program modification for the identification of the adaptive heavy-loaded trajectory in circular and multi-closed structures.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129754702","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655751
K. Gulyamov, R. Yunusov, S. Dovudov, M. Safaraliev, A. Ghulomzoda, B. Sharifov
The paper is devoted to the design of DC/DC boost converter physical model. Circuit diagram as well as the principle of work and features of components selection for the purpose of design are presented. The recommendations to the problems related to design and assembly of boost converter and its components are given. The calculation technique and design of boost converter main parameters are presented. Detailed attention is paid to control system design which was implemented on Arduino-based Atmega microcontroller. The operational states of converter under design as the component of testing bench are analyzed. Relying upon the obtained results converter operation performance was measured. The results of a study of the assembled DC/DC boost converter in an experimental stand are presented, where its operating modes are analyzed in detail and the features of controlling a transistor key at elevated frequencies are studied. The proposed step-up converter is designed to solve the problem of providing power to various voltage levels in electrical appliances and devices using highly efficient power switches. In addition, the use of control systems based on programmable microcontrollers makes it possible to change the parameters of control signals in real time, thereby adjusting the output parameters of the converter, primarily voltage.
{"title":"Study of the DC/DC Boost Converter Physical Model","authors":"K. Gulyamov, R. Yunusov, S. Dovudov, M. Safaraliev, A. Ghulomzoda, B. Sharifov","doi":"10.1109/USSEC53120.2021.9655751","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655751","url":null,"abstract":"The paper is devoted to the design of DC/DC boost converter physical model. Circuit diagram as well as the principle of work and features of components selection for the purpose of design are presented. The recommendations to the problems related to design and assembly of boost converter and its components are given. The calculation technique and design of boost converter main parameters are presented. Detailed attention is paid to control system design which was implemented on Arduino-based Atmega microcontroller. The operational states of converter under design as the component of testing bench are analyzed. Relying upon the obtained results converter operation performance was measured. The results of a study of the assembled DC/DC boost converter in an experimental stand are presented, where its operating modes are analyzed in detail and the features of controlling a transistor key at elevated frequencies are studied. The proposed step-up converter is designed to solve the problem of providing power to various voltage levels in electrical appliances and devices using highly efficient power switches. In addition, the use of control systems based on programmable microcontrollers makes it possible to change the parameters of control signals in real time, thereby adjusting the output parameters of the converter, primarily voltage.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131114534","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655767
A. Khalyasmaa, K. Bugrov, V. Griaznov
Sustainable development of the city requires consideration of many interrelated factors, with particular attention to the city's socio-organizational and cultural institutions. This research examines how the presence of an enterprise performing the functions of the system operator of the regional power system in a city affects the status of the city, its social, technological, educational, and cultural development. The paper considers Ekaterinburg (a city in Russia), which is the capital of the Urals. One of the factors ensuring the dominance of this city and its development is the presence in Ekaterinburg of a company that provides the management of the united energy system of the region. It is “United Dispatch Control of Urals”, part of the “Russian Power System Operator” company. The functions of the system operators, both direct and indirect, are considered, such as interaction with universities and research centers, participation in educational activities, job creation. An analysis of Ekaterinburg from the point of view of the labor market, characteristics of the energy system of the Sverdlovsk region (the capital of which is Ekaterinburg) was carried out. Finally, the United Dispatch Control of Urals' influence on the social and cultural level of the city and the development of the region power system are presented.
{"title":"Impact of the Power System Operator Company on the Urban Environment","authors":"A. Khalyasmaa, K. Bugrov, V. Griaznov","doi":"10.1109/USSEC53120.2021.9655767","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655767","url":null,"abstract":"Sustainable development of the city requires consideration of many interrelated factors, with particular attention to the city's socio-organizational and cultural institutions. This research examines how the presence of an enterprise performing the functions of the system operator of the regional power system in a city affects the status of the city, its social, technological, educational, and cultural development. The paper considers Ekaterinburg (a city in Russia), which is the capital of the Urals. One of the factors ensuring the dominance of this city and its development is the presence in Ekaterinburg of a company that provides the management of the united energy system of the region. It is “United Dispatch Control of Urals”, part of the “Russian Power System Operator” company. The functions of the system operators, both direct and indirect, are considered, such as interaction with universities and research centers, participation in educational activities, job creation. An analysis of Ekaterinburg from the point of view of the labor market, characteristics of the energy system of the Sverdlovsk region (the capital of which is Ekaterinburg) was carried out. Finally, the United Dispatch Control of Urals' influence on the social and cultural level of the city and the development of the region power system are presented.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677641","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655765
F. Nepsha, N. Shubin, Alexander A. Andrievsky, Alexey Golovin
Intelligent control systems are required to ensure the effective functioning of power grids with a large share of distributed energy resources (DERs). The goal of such systems is to integrate local energy management systems (EMSs) with external control systems such as a distributed energy resources management system (DERMS) to ensure the optimal operation of the power distribution network. To solve this problem, one of the possible approaches is the use of digital platforms. Its purpose is to provide a toolkit to reduce time-to-market for EMS. The paper discusses the digital platform architecture that allows creating an EMS at a minimal cost. The process of deployment of the control system based on a digital platform is considered in detail. To test the building energy management system (BEMS) based on the platform, the testbed was created, the architecture of which is considered and illustrated the effectiveness of the platform approach. The proposed solution allows reducing the cost and time-to-market for applied control systems and ensuring correct integration with external control systems such as DERMS.
{"title":"Development of Energy Management System Based on a Digital Platform","authors":"F. Nepsha, N. Shubin, Alexander A. Andrievsky, Alexey Golovin","doi":"10.1109/USSEC53120.2021.9655765","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655765","url":null,"abstract":"Intelligent control systems are required to ensure the effective functioning of power grids with a large share of distributed energy resources (DERs). The goal of such systems is to integrate local energy management systems (EMSs) with external control systems such as a distributed energy resources management system (DERMS) to ensure the optimal operation of the power distribution network. To solve this problem, one of the possible approaches is the use of digital platforms. Its purpose is to provide a toolkit to reduce time-to-market for EMS. The paper discusses the digital platform architecture that allows creating an EMS at a minimal cost. The process of deployment of the control system based on a digital platform is considered in detail. To test the building energy management system (BEMS) based on the platform, the testbed was created, the architecture of which is considered and illustrated the effectiveness of the platform approach. The proposed solution allows reducing the cost and time-to-market for applied control systems and ensuring correct integration with external control systems such as DERMS.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"84 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120874327","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 : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655766
Y. Zatsarinnaya, R. Gainullin, E. Rep'ev, A. Bramm
According to the trends influence, electricity consumption and the load on the energy system are constantly increasing, and requirements for power quality, reliability and its infrastructure are being raised. The introduction of renewable energy sources, digital financial technologies and hence distributed generation leads to the power industry transformation. That is essential in order to meet these abovementioned requirements. Distributed energy is a modern trend and the key to ensuring stable technological progress in the Russian Federation. The authors of the paper considered three scenarios for the development of distributed generation in Russia. The implementation of renewable energy sources in Russia is illustrated in the example of power supplying of remote residential customers with the wind-diesel power station. On the basis of the study, there are proposed tools to support and stimulate the distributed generation development and recommendations for the legal regulation of the fuel and energy complex for Russia.
{"title":"The Prospects of Distributed Generation in Russia","authors":"Y. Zatsarinnaya, R. Gainullin, E. Rep'ev, A. Bramm","doi":"10.1109/USSEC53120.2021.9655766","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655766","url":null,"abstract":"According to the trends influence, electricity consumption and the load on the energy system are constantly increasing, and requirements for power quality, reliability and its infrastructure are being raised. The introduction of renewable energy sources, digital financial technologies and hence distributed generation leads to the power industry transformation. That is essential in order to meet these abovementioned requirements. Distributed energy is a modern trend and the key to ensuring stable technological progress in the Russian Federation. The authors of the paper considered three scenarios for the development of distributed generation in Russia. The implementation of renewable energy sources in Russia is illustrated in the example of power supplying of remote residential customers with the wind-diesel power station. On the basis of the study, there are proposed tools to support and stimulate the distributed generation development and recommendations for the legal regulation of the fuel and energy complex for Russia.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131544548","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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