12 research outputs found
Analysis of the power supply restoration time after failures in power transmission lines
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.Web of Science1311art. no. 273
Analysis of the Influence of 110 kV Power Line Parameters on the Probability of Their Failures
Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Ρ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π°Π±ΠΆΠ΅Π½ΠΈΡ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΎΡΠΌΠ΅ΡΠΈΡΡ,
ΡΡΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΠΎ ΠΏΠ΅ΡΠ΅ΡΡΠ²Ρ Π² ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π°Π±ΠΆΠ΅Π½ΠΈΠΈ ΡΠ»ΡΡΠ°ΡΡΡΡ ΠΈΠ·- Π·Π° ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠΉ Π»ΠΈΠ½ΠΈΠΉ
ΡΠ»Π΅ΠΊΡΡΠΎΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ. ΠΠ»Ρ ΡΠ΅ΡΠ΅Π²ΡΡ
ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ Π²Π°ΠΆΠ½ΠΎ ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠΎΠ²Π°ΡΡ Π½Π΅ΠΈΡΠΏΡΠ°Π²Π½ΠΎΡΡΠΈ
ΠΈ Π²ΠΎΡΡΡΠ°Π½Π°Π²Π»ΠΈΠ²Π°ΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π°Π±ΠΆΠ΅Π½ΠΈΠ΅, ΡΡΠΎΠ±Ρ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΠ΅ ΠΏΠΎΡΠ΅ΡΠΈ. ΠΠΎΡΡΠΎΠΌΡ
Π·Π°Π±Π»Π°Π³ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³ΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ²
ΡΠ°ΠΌΠΈΡ
Π»ΠΈΠ½ΠΈΠΉ ΠΌΠΎΠΆΠ΅Ρ ΠΏΠΎΠΌΠΎΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ΅ΡΠ΅Π²ΡΠΌ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΡΠΌ Π³ΠΎΡΠ°Π·Π΄ΠΎ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Π΅Π΅ ΠΌΠΎΠ΄Π΅ΡΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ
ΠΈ ΡΡΡΠΎΠΈΡΡ Π½ΠΎΠ²ΡΠ΅, ΠΌΠ΅Π½Π΅Π΅ ΠΏΠΎΠ΄Π²Π΅ΡΠΆΠ΅Π½Π½ΡΠ΅ ΠΎΡΠΊΠ°Π·Π°ΠΌ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠΈ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β Π°Π½Π°Π»ΠΈΠ·
Π²Π»ΠΈΡΠ½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π»ΠΈΠ½ΠΈΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π½Π°ΠΏΡΡΠΆΠ΅Π½ΠΈΠ΅ΠΌ 110 ΠΊΠ Π½Π° Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ ΠΈΡ
ΠΎΡΠΊΠ°Π·ΠΎΠ².
ΠΠ°ΡΡΠΎΡΡΠ΅Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ΅ Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΎΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡΠΌ ΠΠΠ 110 ΠΊΠ ΠΏΡΡΠ΅ΠΌ
Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ΄Π°Π»Π΅Π½ΠΈΡ Π½Π΅Π½ΡΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΈΠ½ΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΠΈΡ
ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΡΡΠ΅ΠΌ Π·Π°ΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΠΏΡΠΎΠΏΡΡΠ΅Π½Π½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΈ ΡΠ΄Π°Π»Π΅Π½ΠΈΠΉ Π΄ΡΠ±Π»ΠΈΠΊΠ°ΡΠΎΠ². ΠΠ°ΡΠ΅ΠΌ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΡΡ
ΡΠ°Π·Π²Π΅Π΄ΠΎΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΠΉ Π² ΡΠ΅Π±Ρ Π°Π½Π°Π»ΠΈΠ· ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ
ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ², Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ Π²ΡΠ±ΡΠΎΡΠΎΠ² ΠΈ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉ ΠΈ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·.
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΠΎΡΡ Π½Π° ΡΠ·ΡΠΊΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Python Π² ΡΡΠ΅Π΄Π΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Jupyter
Notebook, Π·Π°Π΄Π΅ΠΉΡΡΠ²ΠΎΠ²Π°Π½Ρ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Pandas, NumPy, Matplotlib, Seaborn, Phik. ΠΠ°Π½Π½ΡΠ΅ Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π°
Π±ΡΠ»ΠΈ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Ρ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΊΠΈ ΠΈ ΡΠ»ΠΈΡΠ½ΠΈΡ, ΡΠ΄Π°Π»Π΅Π½Ρ Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠ΅
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ, ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡ Β«ΡΡΠΎΠΊ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΠΠΠΒ» ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½, ΡΠΈΠ½ΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½ ΡΠ΅Π»Π΅Π²ΠΎΠΉ
ΠΏΡΠΈΠ·Π½Π°ΠΊ β Β«Π€Π°ΠΊΡ ΠΎΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡ Π½Π° ΠΠΠΒ». ΠΡΠΎΠ³ΠΎΠ²ΡΠΌ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΡΡΠ°Π»Π° ΡΠ°Π±Π»ΠΈΡΠ°, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ°Ρ 10
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ², Π²ΠΊΠ»ΡΡΠ°Ρ ΡΠ΅Π»Π΅Π²ΠΎΠΉ ΠΏΡΠΈΠ·Π½Π°ΠΊ, ΠΈ 395 ΡΡΡΠΎΠΊ. Π Ρ
ΠΎΠ΄Π΅ Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ²
Π±ΡΠ»ΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Π΄ΠΈΡΠ±Π°Π»Π°Π½Ρ ΠΊΠ»Π°ΡΡΠΎΠ² ΡΠ΅Π»Π΅Π²ΠΎΠ³ΠΎ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°, Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΈΠΏΠ° ΠΏΡΠΎΠ²ΠΎΠ΄Π° ΠΈ ΡΡΠ°Π½Π·ΠΈΡΠ½ΠΎΡΡΠΈ
Π»ΠΈΠ½ΠΈΠΈ Π½Π° ΠΎΡΠΊΠ°Π· ΠΠΠ 110 ΠΊΠ. ΠΠ½Π°Π»ΠΈΠ· ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ», ΡΡΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΎΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ
ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΠΠ, ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π΄Π»ΠΈΠ½Ρ Π»ΠΈΠ½ΠΈΠΉ, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΎΠΏΠΎΡ ΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠΎΠΊΠ° ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ
ΠΠΠ. ΠΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ ΡΠΈΠ»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Ρ ΡΠ΅Π»Π΅Π²ΠΎΠΉ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΌΡΠ»ΡΡΠΈΠΊΠΎΠ»Π»ΠΈΠ½Π΅Π°ΡΠ½ΠΎΡΡΠΈ ΠΌΠ΅ΠΆΠ΄Ρ Π²ΡΠ΅ΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ, ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°ΡΡΠΈΠΌΠΈ
ΠΏΡΠΎΡΡΠΆΡΠ½Π½ΠΎΡΡΡ ΠΠΠ ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΠ ΠΎΠΏΠΎΡWhen considering power supply system equipment, it should be noted that most often power
supply interruptions occur due to damage to power lines. It is important for power grid companies to
promptly diagnose faults and restore power supply in order to minimize losses. Therefore, determining
in advance the probability of power outages based on the parameters of the power lines themselves can
help power grid companies modernize much more efficiently and build new power grids with less failure
rate. Aim of the article is analysis of the influence 110 kV power line parameters on the probability
of their failures. This study consists of preparing a data on power outages of 110 kV power lines by
by clustering, removing unnecessary information, creating synthetic parameters and processing them
by imputing missing values and removing duplicates. Then exploratory data analysis was carried out,
including analysis of statistical characteristics for considered parameters, identification of outliers and
anomalies, and correlation analysis. The research was carried out in the Python programming language
in the Jupyter Notebook development environment, using the Pandas, NumPy, Matplotlib, Seaborn, Phik
libraries. The data for analysis was prepared using grouping and merging methods, the least significant
parameters were removed, the βpower line service lifeβ parameter was standardized, and the target
attribute was synthesized β βThe fact of power line outage.β The final result was a table containing 10
parameters, including the target feature, and 395 rows. During the analysis of categorical parameters,
an imbalance of classes of the target feature, the influence of the type of wire and the transit fact on 110
kV power line failure were identified. An analysis of the distribution of quantitative variables confirmed
that a decrease in outage probability is observed with an improvement in technical condition of lines,
a decrease in line length, in the number of supports and in the service life of power lines. Correlation
analysis allows establishing the absence of a strong correlation with the target feature and the presence
of multicollinearity between all parameters reflecting the length of power lines and the number of
reinforced concrete support
Allocation of 0.4 kV PTL Sectionalizing Units under Criteria of Sensitivity Limits and Power Supply Reliability
Sectionalizing 0.4 kV power transmission lines (PTL) improves power supply reliability and reduces electricity undersupply through the prevention of energy disconnection of consumers in the event of a short circuit in the power line behind the sectionalizing unit (SU). This research examines the impact of sectionalizing on power supply reliability and reviews the literature on sectionalizing unit allocation strategies in electrical networks. This paper describes the experience of the use of sectionalizing units with listing strengths and weaknesses of adopted technical solutions and describes the new structure of sectionalizing units. A new methodology is proposed, whereby there are two criteria for allocating SU in 0.4 kV power transmission lines. The first criterion is the sensitivity limits against single-phase short circuits used for calculating the maximum distance at which SU can be installed. The second criterion is power supply reliability improvement, evaluating the cost-effectiveness of installing sectionalizing equipment by reducing power supply outage time. The established methodology was put to the test on an actual electrical system (Mezenka village, Orel area, Russia), which demonstrated that the installation of a sectionalizing unit paid off
Data handling as a basis for local antimicrobial resistance surveillance
Continuing trends of antimicrobial resistance growth require a set of countermeasures, of which antimicrobial resistance surveillance at the global, national, and local levels plays one of the most important roles. Local surveillance systems are the most significant in controlling the changes in susceptibility of microorganisms in specific settings and contribute to the necessary activities, including prevention of epidemics. This paper presents basic principles and recommendations for handling antimicrobial resistance surveillance data, provides examples of table completion and metadata quick guide. A focus is made on specific issues and problems associated with surveillance data handling and the ways to resolve those problems are proposed
Comparative analysis of environmentally friendly materials
Woodworking industry currently generates a large amount of unused waste suitable for recycling. The solution to this urgent problem is the use of this raw material in construction industry, which would solve many economic and environmental problems. The article describes the main technologies for the construction of residential houses from wood concrete blocks and the features of the construction and operation of such buildings. Methods of comparative analysis of the structure of wood concrete and brick housing construction and the possibility of ecological materialsβ effective use in the conditions of the Rostov region on the basis of thermal engineering calculation are also presented. Having analyzed the main characteristics and properties of ecological building material, the main advantages and disadvantages of wood concrete in the construction and further operation of residential buildings are considered
Allocation of 0.4 kV PTL Sectionalizing Units under Criteria of Sensitivity Limits and Power Supply Reliability
Sectionalizing 0.4 kV power transmission lines (PTL) improves power supply reliability and reduces electricity undersupply through the prevention of energy disconnection of consumers in the event of a short circuit in the power line behind the sectionalizing unit (SU). This research examines the impact of sectionalizing on power supply reliability and reviews the literature on sectionalizing unit allocation strategies in electrical networks. This paper describes the experience of the use of sectionalizing units with listing strengths and weaknesses of adopted technical solutions and describes the new structure of sectionalizing units. A new methodology is proposed, whereby there are two criteria for allocating SU in 0.4 kV power transmission lines. The first criterion is the sensitivity limits against single-phase short circuits used for calculating the maximum distance at which SU can be installed. The second criterion is power supply reliability improvement, evaluating the cost-effectiveness of installing sectionalizing equipment by reducing power supply outage time. The established methodology was put to the test on an actual electrical system (Mezenka village, Orel area, Russia), which demonstrated that the installation of a sectionalizing unit paid off
Challenges and methods of monitoring the occurrence of unsanctioned voltage in the power grid
The review of sources dedicated to the issues of monitoring in electric networks made in the article showed that the works of many scientists are aimed at developing methods, technical means, systems for monitoring current and voltage in various operation modes of power grids. The main objectives of monitoring are identified, it is shown that monitoring of parameters in the network operation modes provides observability of the network, which, in turn, allows to make timely decisions about switching in the network, regulating the parameters of the network operation modes. The relevance of monitoring for detecting cases of unauthorized voltage in the 0.4 kV power networks is shown. Similar cases lead to the risk of electric shock to people, increasing the risk of operating electrical networks. Identification of the occurrence of unauthorized voltage in the 0.4 kV network provides ways to prevent its transformation at substations of 10/0. 4 kV to a voltage of 10 kV. Therefore, it is relevant to develop methods for detecting unauthorized voltage in the 0.4 kV electric system. The methodological principles and one of the developed methods for monitoring the occurrence of unauthorized voltage in power transmission lines of 0.4 kV and blocking the reverse transformation on substations 10/0.4 kV, as well as the device for its implementation, are shown
Analysis of the concepts of building microgrids containing distributed generation objects
In this article, the authors consider the materials of research on the construction and operation of intelligent power supply systems with a nominal voltage of up to 1000 V, containing distributed generation facilities. The authorβs approach to the construction of microgrids based on multi-contact switching systems is proposed. The similarities and differences of the presented concepts are determined. The main problematic issues that arise in the process of implementing projects for the construction of microgrids and the management of electric power modes of operation are formulated. The ways of solving the problems related to the management of the modes of operation of microgrids are proposed