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Elżbieta Jasińska - One of the best experts on this subject based on the ideXlab platform.
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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines
Energies, 2020Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Michal Jasinski, Tomasz Sikorski, Zbigniew Leonowicz, Radomir Goňo, Elżbieta JasińskaAbstract:This paper presents the analysis of power supply Restoration Time after failures occurring in power lines. It found that the power supply Restoration Time depends on several constituents, such as the Time for obtaining information on failures, the Time for information recognition, the Time to repair failures, and the Time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply Restoration Time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the Time for obtaining information on failures as well as the Time for information recognition. The method of mathematical statistics was used to determine the repair Time. The determined power supply Restoration Time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply Restoration Time have also been found. These means were classified according to the Time intervals they shorten.
Alexander Vinogradov - One of the best experts on this subject based on the ideXlab platform.
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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines
Energies, 2020Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Michal Jasinski, Tomasz Sikorski, Zbigniew Leonowicz, Radomir Goňo, Elżbieta JasińskaAbstract:This paper presents the analysis of power supply Restoration Time after failures occurring in power lines. It found that the power supply Restoration Time depends on several constituents, such as the Time for obtaining information on failures, the Time for information recognition, the Time to repair failures, and the Time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply Restoration Time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the Time for obtaining information on failures as well as the Time for information recognition. The method of mathematical statistics was used to determine the repair Time. The determined power supply Restoration Time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply Restoration Time have also been found. These means were classified according to the Time intervals they shorten.
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Methods of Reducing the Power Supply Outage Time of Rural Consumers
Advances in Computer and Electrical Engineering, 2019Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Alexey Vasiliev, Tatyana Anatolievna Kudinova, Nikolay S. Sorokin, Nikolai HruntovichAbstract:The chapter analyzes the power supply Restoration Time. The analysis shows that this Time consists of the Time for obtaining information about failure, the Time of information recognition about failure, the damage repair Time and the Time of connection and disconnection harmonization. Each of them, in turn, is also considered in more detail that allows identifying reserves to reduce the power supply outage Time. The chapter proposes reducing the power supply Restoration Time by going to the monitoring system combination of both operating modes and technical condition of power networks. Based on the study results, there are methods allowing to reduce the power supply outage Time of rural consumers by means of automating rural electrical networks and improving the operating mode monitoring of power supply systems. The chapter also suggests a set of devices that allows to implement the proposed methods.
Alina Vinogradova - One of the best experts on this subject based on the ideXlab platform.
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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines
Energies, 2020Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Michal Jasinski, Tomasz Sikorski, Zbigniew Leonowicz, Radomir Goňo, Elżbieta JasińskaAbstract:This paper presents the analysis of power supply Restoration Time after failures occurring in power lines. It found that the power supply Restoration Time depends on several constituents, such as the Time for obtaining information on failures, the Time for information recognition, the Time to repair failures, and the Time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply Restoration Time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the Time for obtaining information on failures as well as the Time for information recognition. The method of mathematical statistics was used to determine the repair Time. The determined power supply Restoration Time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply Restoration Time have also been found. These means were classified according to the Time intervals they shorten.
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Methods of Reducing the Power Supply Outage Time of Rural Consumers
Advances in Computer and Electrical Engineering, 2019Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Alexey Vasiliev, Tatyana Anatolievna Kudinova, Nikolay S. Sorokin, Nikolai HruntovichAbstract:The chapter analyzes the power supply Restoration Time. The analysis shows that this Time consists of the Time for obtaining information about failure, the Time of information recognition about failure, the damage repair Time and the Time of connection and disconnection harmonization. Each of them, in turn, is also considered in more detail that allows identifying reserves to reduce the power supply outage Time. The chapter proposes reducing the power supply Restoration Time by going to the monitoring system combination of both operating modes and technical condition of power networks. Based on the study results, there are methods allowing to reduce the power supply outage Time of rural consumers by means of automating rural electrical networks and improving the operating mode monitoring of power supply systems. The chapter also suggests a set of devices that allows to implement the proposed methods.
Vadim Bolshev - One of the best experts on this subject based on the ideXlab platform.
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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines
Energies, 2020Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Michal Jasinski, Tomasz Sikorski, Zbigniew Leonowicz, Radomir Goňo, Elżbieta JasińskaAbstract:This paper presents the analysis of power supply Restoration Time after failures occurring in power lines. It found that the power supply Restoration Time depends on several constituents, such as the Time for obtaining information on failures, the Time for information recognition, the Time to repair failures, and the Time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply Restoration Time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the Time for obtaining information on failures as well as the Time for information recognition. The method of mathematical statistics was used to determine the repair Time. The determined power supply Restoration Time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply Restoration Time have also been found. These means were classified according to the Time intervals they shorten.
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Methods of Reducing the Power Supply Outage Time of Rural Consumers
Advances in Computer and Electrical Engineering, 2019Co-Authors: Alexander Vinogradov, Vadim Bolshev, Alina Vinogradova, Alexey Vasiliev, Tatyana Anatolievna Kudinova, Nikolay S. Sorokin, Nikolai HruntovichAbstract:The chapter analyzes the power supply Restoration Time. The analysis shows that this Time consists of the Time for obtaining information about failure, the Time of information recognition about failure, the damage repair Time and the Time of connection and disconnection harmonization. Each of them, in turn, is also considered in more detail that allows identifying reserves to reduce the power supply outage Time. The chapter proposes reducing the power supply Restoration Time by going to the monitoring system combination of both operating modes and technical condition of power networks. Based on the study results, there are methods allowing to reduce the power supply outage Time of rural consumers by means of automating rural electrical networks and improving the operating mode monitoring of power supply systems. The chapter also suggests a set of devices that allows to implement the proposed methods.
Weidong Cao - One of the best experts on this subject based on the ideXlab platform.
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Soil bacterial community shifts driven by Restoration Time and steppe types in the degraded steppe of Inner Mongolia
CATENA, 2018Co-Authors: Minjie Yao, Junpeng Rui, Junming Wang, Weidong CaoAbstract:Abstract Degraded grassland can be restored through management practices such as fencing to protect land from overgrazing. However, little is known about the dynamics of underground microbial communities and their associated ecological function during the Restoration process. In this study, we investigated changes in the soil bacterial community composition with varying Restoration Time in the Leymus chinensis steppe. We also studied the differences in the soil bacterial community composition between a Leymus chinensis steppe and a Stipa grandis steppe at the same Restoration Time in the Inner Mongolia of China. Results showed that Restoration of the degraded steppe through fencing significantly changed the bacterial community composition through the Restoration Time. The relative abundances of Chloroflexi and Cyanobacteria decreased significantly with Restoration. However, the relative abundances of copiotrophic Proteobacteria and Bacteriodetes increased. Significant changes for many dominant taxa occurred between 7 and 13 years of Restoration Time in the Leymus chinensis steppe. Shifts in the composition of bacterial communities with fencing and grazing were driven by multiple factors, including soil moisture, pH, nutrients (organic carbon and nitrogen, etc.). Network analysis of soil bacterial community compositions showed that the three largest modules in co-occurrence networks were separated by fencing, grazing and steppe type. This study revealed the successions of underground microbial communities associated with steppe Restoration management over Time.
