CN117350550A - Power grid operation risk assessment system based on severe weather - Google Patents
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Abstract
The invention relates to the technical field of power grid operation risk assessment, and particularly discloses a power grid operation risk assessment system based on severe weather.
Description
Technical Field
The invention relates to the technical field of power grid operation risk assessment, in particular to a power grid operation risk assessment system based on severe weather.
Background
Currently, along with popularization of electric power, ensuring stable and efficient continuous operation of a power grid becomes an increasingly focused topic, one of the most important factors of power grid faults is bad weather, so that the risk degree of the bad weather on the operation of the power grid must be evaluated, people can make a response scheme on the power transmission line and related facilities in the power grid temporarily in the bad weather, and the stable operation of the power transmission line is ensured.
Today, there are also some drawbacks in the grid operation risk assessment, in particular at several levels: (1) In the prior art, when data analysis is performed on a power transmission tower in a power grid area, only appearance parameters of the power transmission tower are often considered, a tower foot and a tower body are used as a part of a power transmission tower structure, which are important factors influencing the stability of the power transmission tower structure, if data of analysis of relevant parameters are ignored, the actual condition of the stability degree of the power transmission tower structure cannot be effectively reflected, so that feedback prompt cannot be accurately performed on the structural abnormality of the subsequent power transmission tower, and the stability of a transmission circuit cannot be guaranteed to a certain extent.
(2) In the prior art, when the running state in the power grid is analyzed, monitored data is not divided according to voltage levels, so that a phenomenon that the actual analysis result is possibly not matched with the actual running state of the power grid exists, deviation can occur to a great extent when risk assessment is carried out on the running state in the power grid, and the stable running of a power transmission line can be negatively influenced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a grid operation risk assessment system based on severe weather, which can effectively solve the problems related to the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a system for evaluating risk of grid operation based on severe weather, comprising:
and the power transmission tower structure information identification and analysis module is used for carrying out structure information identification on each power transmission tower in the designated area, analyzing and calculating the structural stability degree index of each power transmission tower in the designated area, and carrying out structural abnormality feedback prompt.
The designated area power grid monitoring and analyzing module is used for monitoring the running states of the high-voltage area, the middle-low voltage area and the power grid, and analyzing and calculating the line running risk indexes of the high-voltage area, the middle-low voltage area and the power grid.
The weather severity analysis module is used for collecting weather data of the designated area, analyzing weather severity indexes of the designated area and grading the weather severity of the designated area.
The power grid operation risk assessment module is used for comprehensively analyzing the power grid stable operation degree coefficient of the designated area and carrying out risk assessment early warning on the power grid operation state of the designated area.
And the data information base is used for storing panoramic images of initial application of each tower foot corresponding to each power transmission tower, rated voltage, rated current and maximum allowable output power corresponding to each power equipment and storing initial clamping reference angles corresponding to each power transmission wire section.
As a further scheme, the structure information identification is performed on each power transmission tower in the designated area, and the specific analysis process is as follows:
collecting panoramic images of all power transmission towers in a designated area, extracting all tower foot panoramic images corresponding to all power transmission towers in the designated area from the panoramic images, and comparing the panoramic images with all tower foot initial application panoramic images corresponding to all power transmission towers stored in a database to obtain the superposition volume of all tower feet corresponding to all power transmission towers in the designated areaWherein p is the number of each transmission tower, < >>R is the number of each tower foot, < +.>Simultaneously extracting the initial volume of each tower foot corresponding to each power transmission tower>。
Calculating the corresponding tower foot volume coincidence coefficient of each power transmission tower in the designated areaThe calculation formula is as follows:wherein->Expressed as a set tower foot volume correction factor, e is expressed as a natural constant.
Monitoring supporting stress values of tower feet corresponding to each power transmission tower in designated areaAt the same time according to the reservationAdaptive stress value of tower feet of each power transmission tower in appointed area>Calculating proper tower foot stress coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows: />Wherein->And->Respectively representing the set tower foot stress uniformity correction factor and the deviation correction factor;
similarly, the vertical offset of the tower body corresponding to each power transmission tower in the designated area is monitoredAnd horizontal offset->And permit vertical offset amount according to the corresponding tower body of each power transmission tower of the designated area>And allowable horizontal offset->Calculating proper tower body deviation coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows:wherein->And->Respectively representing correction factors corresponding to the set vertical offset and the set horizontal offset of the tower body;
monitoring wind load values corresponding to each power transmission tower in designated areaMeanwhile, according to the adaptive wind load value corresponding to each power transmission tower of the set designated area +.>And according to a correction factor corresponding to a predefined wind load value +.>Calculating the wind load suitable coefficient corresponding to each power transmission tower in the designated area>The calculation formula is as follows: />Wherein->Expressed as an influence factor corresponding to the set unit wind load value.
As a further scheme, the feedback prompt for structural abnormality is performed, and the specific analysis process is as follows:
comprehensively calculating structural stability degree index of each power transmission tower in designated areaThe calculation formula is as follows:wherein->、/>、/>And->And respectively representing the weight factors of the tower foot volume coincidence coefficient, the tower foot stress suitability coefficient, the tower body deviation suitability coefficient and the wind load suitability coefficient corresponding to the set power transmission tower.
Comparing the structural stability degree index of each power transmission tower in the designated area with a preset power transmission tower structural stability degree index threshold, and if the structural stability degree index of a certain power transmission tower in the designated area is lower than the power transmission tower structural stability degree index threshold, carrying out structural abnormality feedback prompt on the power transmission tower.
As a further scheme, the line operation risk index of the high-voltage area to which the power grid belongs comprises the following specific analysis processes:
dividing equal time length according to a set monitoring period to obtain a plurality of monitoring time points, recording the monitoring time points, simultaneously counting all power equipment of a high-voltage area of a power grid, and monitoring transmission voltage of all power equipment of the high-voltage area of the power grid at all the monitoring time pointsAnd transmit current +.>Wherein v is denoted by the number of each power device, ">I is denoted by the number of each monitoring time point, < >>M is expressed as the number of monitoring time points, and rated voltage corresponding to each power equipment is extracted from a data information base>And rated current->。
Calculating power transmission influence coefficients corresponding to all devices in high-voltage area of power gridThe calculation formula is as follows:wherein->And->Respectively representing the correction factors corresponding to the set transmission voltage and the set transmission current;
maximum output power of each electric power equipment for monitoring high-voltage area of power grid under monitoring periodSimultaneously extracting maximum allowable output power of each power equipment from the data information base>And corresponding correction factor according to predefined output power ratio>Calculating output power influence coefficients corresponding to devices in a high-voltage area to which a power grid belongs>The calculation formula is as follows: />Wherein->Expressed as a corresponding impact factor of a predefined unit output power.
Calculating line operation risk index of high-voltage area to which power grid belongsThe calculation formula is as follows:wherein->And->And the weight factors are respectively expressed as the power transmission influence coefficient and the output power influence coefficient corresponding to the equipment in the high-voltage area of the set power grid.
As a further scheme, the line operation risk index of the medium-low voltage area to which the power grid belongs comprises the following specific analysis processes:
collecting panoramic images of the middle and low voltage areas of the power grid, positioning the panoramic images to fixed position points of all power transmission wires of the middle and low voltage areas of the power grid, extracting reference points according to set lengths, constructing clamping reference angles corresponding to all power transmission wire sections of the middle and low voltage areas of the power grid, and extracting clamping reference angles corresponding to all power transmission wire sections of the middle and low voltage areas of the power gridWherein x is the number of each conductive line segment, ">Simultaneously extracting initial clamping reference angles corresponding to all the power transmission wire sections from a data information base>。
Calculating a clamping reference angle influence coefficient corresponding to a transmission wire in a middle-low voltage area of a power gridThe calculation formula is as follows: />Wherein->The correction factor is indicated as the correction factor to which the set clamp reference angle belongs.
The sag value corresponding to each transmission conductor segment of the medium-low voltage area of the power grid is collectedAnd predefining the corresponding adaptive sag value of each transmission line segment>At the same time, according to the influence factor corresponding to the predefined unit deviation sag value +>Calculating an influence coefficient of sag value corresponding to a power transmission wire in a middle-low voltage area of a power grid +.>The calculation formula is as follows:wherein->Expressed as a correction factor corresponding to the set sag value.
As a further solution, the line operation risk index of the medium-low voltage region to which the power grid belongsThe specific calculation formula is as follows: />Wherein->And->And the weight factors are respectively expressed as clamping reference angle influence coefficients and sag value influence coefficients corresponding to the power transmission wires in the middle-low voltage area of the set power grid.
As a further scheme, the specific analysis process includes:
monitoring and counting the temperature of a designated area at each monitoring time pointMoisture->And wind speed->At the same time, the adapted operating temperature of the specified regional power grid is predefined +.>Adaptive run humidity->And maximum allowable wind speed->。
Calculating weather influence degree coefficient of specified areaThe calculation formula is as follows:wherein->、/>And->The correction factors are respectively expressed as the set temperature, humidity and wind speed;
the time period between two adjacent monitoring time points is recorded as a monitoring time period, and the accumulated rainfall of the designated area in each monitoring time period is monitored and countedWherein j is denoted by the number of each monitoring period,/->。
According to the influence factor corresponding to the predefined unit rainfallAnd according to the maximum allowable rainfall of the designated area>Calculating the rainfall influence degree coefficient of the designated area +.>The calculation formula is as follows:wherein->Indicated as a correction factor corresponding to the set rainfall.
As a further scheme, the specific regional weather severity is graded, and the specific analysis process is as follows:
calculating weather severity index of specified areaThe calculation formula is as follows: />Wherein->Andthe weather-influencing degree coefficient and the rainfall-influencing degree coefficient are respectively expressed as weight factors corresponding to the set specified region.
And comparing the weather severity index of the appointed area with the weather severity level corresponding to each predefined weather severity index interval to obtain the weather severity level corresponding to the appointed area.
As a further scheme, the power grid stable operation degree coefficient of the designated areaThe specific calculation formula is as follows: />Wherein->And->And respectively representing the weight factors corresponding to the line operation risk indexes of the high-voltage area and the medium-low voltage area of the set power grid.
As a further scheme, the risk assessment and early warning are carried out on the running state of the power grid in the designated area, and the specific analysis process is as follows:
and matching each meteorological severe level interval with a corresponding power grid steady operation degree coefficient threshold value to obtain a power grid steady operation degree coefficient threshold value of the designated area, comparing the power grid steady operation degree coefficient threshold value with the power grid steady operation degree coefficient of the designated area, and if the power grid steady operation degree coefficient of the designated area is lower than the power grid steady operation degree coefficient threshold value, performing risk assessment and early warning on the power grid operation state of the designated area.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the grid operation risk assessment system based on severe weather, the operation state in the grid is analyzed in a detailed mode, the scientificalness level of high-efficiency analysis on the stable operation degree of the grid is effectively improved, and a more scientific and reliable data basis is provided for comprehensively reflecting the operation state of the grid so that the stable operation degree of the grid can be accurately analyzed in severe weather.
(2) According to the invention, through identifying the structural information of each power transmission tower in the designated area and analyzing and calculating the structural stability degree index of each power transmission tower in the designated area, the analyzed result can effectively reflect the real condition of the structural stability degree of the power transmission tower, and can accurately feed back and prompt the abnormality of the subsequent power transmission tower structure, and the stable operation of the power transmission line is ensured to a certain extent.
(3) According to the method, the running states of the high-voltage area, the middle-low voltage area and the power grid are monitored, the line running risk indexes of the high-voltage area, the middle-low voltage area and the power grid are analyzed and calculated, the power grid is divided according to the voltage grades, a finer analysis result is provided for analyzing the stable running degree of the power grid, and a scientific and reasonable supporting basis can be provided for subsequent risk assessment of the running states of the power grid areas.
(4) According to the method, the system and the device, the power grid stable operation degree coefficient of the designated area is analyzed, and the risk assessment early warning is carried out on the power grid operation state of the designated area, so that the timeliness of risk management and control on the power grid operation state is improved, the management of related personnel is facilitated, and the stability of a power transmission line in the power grid can be reasonably and efficiently ensured.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of a system architecture connection according to the present invention.
Fig. 2 is a schematic view of a clamp reference angle according to the present invention.
Reference numerals: 1. fixed position point 2, joint reference line 3, reference datum point 4, centre gripping benchmark reference angle 5, vertical datum line.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a power grid operation risk assessment system based on severe weather comprises a power transmission tower structure information identification and analysis module, a designated area power grid monitoring and analysis module, a weather severity analysis module, a power grid operation risk assessment module and a data information base.
The power transmission tower structure information identification and analysis module is respectively connected with the designated area power grid monitoring and analysis module and the data information base, the designated area power grid monitoring and analysis module is respectively connected with the power grid operation risk assessment module and the data information base, and the power grid operation risk assessment module is connected with the weather severity analysis module.
The power transmission tower structure information identification and analysis module is used for carrying out structure information identification on each power transmission tower in a designated area, analyzing and calculating the structural stability degree index of each power transmission tower in the designated area, and therefore carrying out structural abnormality feedback prompt.
Specifically, the structure information identification is performed on each power transmission tower in the designated area, and the specific analysis process is as follows:
collecting panoramic images of all power transmission towers in a designated area, extracting all tower foot panoramic images corresponding to all power transmission towers in the designated area from the panoramic images, and comparing the panoramic images with all tower foot initial application panoramic images corresponding to all power transmission towers stored in a database to obtain the superposition volume of all tower feet corresponding to all power transmission towers in the designated areaWherein p is the number of each transmission tower, < >>R is the number of each tower foot, < +.>Simultaneously extracting the initial volume of each tower foot corresponding to each power transmission tower>。
It should be noted that, in the above-mentioned extraction of panoramic images of each tower foot corresponding to each power transmission tower in a designated area, the number of corresponding tower feet is different due to the variety of power transmission towers, and common power transmission tower varieties include, but are not limited to, single-loop towers, double-loop towers, terminal towers, and angle towers.
Calculating the corresponding tower foot volume coincidence coefficient of each power transmission tower in the designated areaThe calculation formula is as follows:wherein->Expressed as a set tower foot volume correction factor, e is expressed as a natural constant.
Monitoring supporting stress values of tower feet corresponding to each power transmission tower in designated areaMeanwhile, according to the adaptive stress value of the tower feet of each power transmission tower of the predefined designated area +.>Calculating proper tower foot stress coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows: />Wherein->Andrespectively expressed as a set tower foot stress uniformity correction factor and a deviation correction factor.
The equipment used for acquiring panoramic images of the power transmission towers in the designated area and monitoring the supporting stress values of the tower feet corresponding to the power transmission towers in the designated area is a high-definition scanner and a stress sensor.
It should be noted that, the above calculation of the corresponding tower foot volume coincidence coefficient and the tower foot stress fit coefficient of each power transmission tower in the designated area may provide a larger supporting area, increase the stability of the power transmission tower, reduce the risk of dumping, so that the tower foot volume needs to be analyzed, while a higher tower foot stress value may accelerate fatigue damage and corrosion of the power transmission tower, affect the service life and durability thereof, so that the stress value needs to be ensured within an acceptable range, so as to prolong the service life of the power transmission tower and ensure the structural safety of the power transmission tower.
Similarly, the vertical offset of the tower body corresponding to each power transmission tower in the designated area is monitoredAnd horizontal offset->And permit vertical offset amount according to the corresponding tower body of each power transmission tower of the designated area>And allowable horizontal offset->Calculating proper tower body deviation coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows:wherein->And->Respectively expressed as correction factors corresponding to the set vertical offset and horizontal offset of the tower body.
It should be noted that, the above-mentioned monitoring of the vertical offset and horizontal offset of the tower body corresponding to each power transmission tower in the designated area, the required equipment is the vertical displacement sensor and the lateral displacement sensor, the vertical offset may cause the instability of the power transmission tower in the vertical direction, affect the overall stability of the tower body, and reduce the strength and bearing capacity of the power transmission tower structure, while the horizontal offset may cause the instability of the power transmission tower in the horizontal direction, so that the tower body cannot bear the lateral load and reduce the stability of the structure, and therefore, the analysis of the displacement condition of the tower body of the power transmission tower is required, and finer data support is provided for the structural stability of the power transmission tower.
Monitoring wind load values corresponding to each power transmission tower in designated areaMeanwhile, according to the adaptive wind load value corresponding to each power transmission tower of the set designated area +.>And according to a correction factor corresponding to a predefined wind load value +.>Calculating the wind load suitable coefficient corresponding to each power transmission tower in the designated area>The calculation formula is as follows: />Wherein->Expressed as an influence factor corresponding to the set unit wind load value.
It should be noted that, the wind load value corresponding to each power transmission tower in the above-mentioned monitoring designated area, the equipment used is a wind speed and wind direction sensor, when the wind speed increases, the wind load also increases, possibly causes the power transmission tower to lose stability in the vertical or horizontal direction, and the tower body can bend or deform, and the structural strength and stability degree of the power transmission tower can be influenced by excessive deformation, so that the wind load value of the power transmission tower needs to be analyzed, so that the power transmission tower can carry out stable line transmission to a certain extent, and the normal operation of the power transmission line is ensured.
Further, the structure abnormality feedback prompt is performed, and the specific analysis process is as follows:
comprehensively calculating structural stability degree index of each power transmission tower in designated areaThe calculation formula is as follows:wherein->、/>、/>And->And respectively representing the weight factors of the tower foot volume coincidence coefficient, the tower foot stress suitability coefficient, the tower body deviation suitability coefficient and the wind load suitability coefficient corresponding to the set power transmission tower.
In a specific embodiment, the structure information of each power transmission tower in the designated area is identified, and the structural stability degree index of each power transmission tower in the designated area is analyzed and calculated, so that the analyzed result can effectively reflect the real condition of the structural stability degree of the power transmission tower, the feedback prompt can be accurately carried out on the abnormality of the subsequent power transmission tower structure, and the stable operation of the power transmission line is ensured to a certain extent.
Comparing the structural stability degree index of each power transmission tower in the designated area with a preset power transmission tower structural stability degree index threshold, and if the structural stability degree index of a certain power transmission tower in the designated area is lower than the power transmission tower structural stability degree index threshold, carrying out structural abnormality feedback prompt on the power transmission tower.
The specified region power grid monitoring and analyzing module is used for monitoring the running states of the high-voltage region, the middle-low voltage region and the power grid, and analyzing and calculating the line running risk indexes of the high-voltage region, the middle-low voltage region and the power grid.
Specifically, the line operation risk index of the high-voltage area to which the power grid belongs is specifically analyzed by the following steps:
dividing equal time length according to a set monitoring period to obtain a plurality of monitoring time points, recording the monitoring time points, simultaneously counting all power equipment of a high-voltage area of a power grid, and monitoring transmission voltage of all power equipment of the high-voltage area of the power grid at all the monitoring time pointsAnd transmit current +.>Wherein v is denoted by the number of each power device, ">I is denoted by the number of each monitoring time point, < >>M is expressed as the number of monitoring time points, and rated voltage corresponding to each power equipment is extracted from a data information base>And rated current->。
It should be noted that, the above-mentioned statistics includes each power device in the high voltage area to which the power grid belongs, and the types of the power devices include, but are not limited to, a generator and a transformer.
It should be further explained that, the above-mentioned monitoring power devices in the high voltage area where the power grid belongs are respectively a voltage sensor and a current sensor, if the voltage is too high or too low, the devices will fail, damage or even work abnormally, while the current is too large, which may cause overload, heat, damage or even burn out of the devices, and the current is too small, which may cause failure or unstable work of the devices, so the devices generally have rated voltage and rated current, and the voltage and current of the devices are analyzed to ensure stable operation of the devices.
Calculating power transmission influence coefficients corresponding to all devices in high-voltage area of power gridThe calculation formula is as follows:wherein->And->Respectively expressed as correction factors corresponding to the set transmission voltage and transmission current.
Maximum output power of each electric power equipment for monitoring high-voltage area of power grid under monitoring periodSimultaneously extracting maximum allowable output power of each power equipment from the data information base>And corresponding correction factor according to predefined output power ratio>Calculating electricityOutput power influence coefficient corresponding to each device of the high-voltage area to which the network belongs +.>The calculation formula is as follows: />Wherein->Expressed as a corresponding impact factor of a predefined unit output power.
It should be noted that, the above-mentioned monitoring the maximum output power of each electric power device in the high voltage area where the electric network belongs under the monitoring period uses a power meter, the higher the output power is, the higher the working capacity and efficiency that the device can provide, but the higher the output power will also generate more heat, and the service life and reliability of the device may be negatively affected by the excessively high temperature, so the output power needs to be analyzed, so that the device can operate more efficiently.
Calculating line operation risk index of high-voltage area to which power grid belongsThe calculation formula is as follows:wherein->And->And the weight factors are respectively expressed as the power transmission influence coefficient and the output power influence coefficient corresponding to the equipment in the high-voltage area of the set power grid.
Further, the line operation risk index of the medium-low voltage area to which the power grid belongs is specifically analyzed by the following steps:
collecting panoramic images of the middle and low voltage areas of the power grid, positioning the panoramic images to fixed position points of all power transmission wires of the middle and low voltage areas of the power grid, and usingSetting a length extraction reference point, thereby constructing clamping reference angles corresponding to all transmission conductor segments of the middle and low voltage region of the power grid, and extracting clamping reference angles corresponding to all transmission conductor segments of the middle and low voltage region of the power gridWherein x is the number of each conductive line segment, ">Simultaneously extracting initial clamping reference angles corresponding to all the power transmission wire sections from a data information base>。
The clamping reference angles corresponding to the transmission line segments in the middle and low voltage areas of the power grid are specifically: according to the panoramic image of the middle-low voltage area of the power grid, positioning the panoramic image to the fixed position point of each power transmission wire in the middle-low voltage area of the power grid, extracting a reference datum point according to a set length, making a vertical straight line from the fixed position point of each power transmission wire segment to the horizontal ground, marking the vertical straight line as a vertical datum line, simultaneously connecting the reference datum point of each power transmission wire segment with the fixed position point in a straight line, obtaining a connecting line between the reference datum point of each power transmission wire segment and the fixed position point, marking the connecting line as a connecting reference line of each power transmission wire segment, extracting an included angle between the connecting reference line of each power transmission wire segment and the corresponding vertical datum line, marking the clamping datum reference angle corresponding to each power transmission wire segment in the middle-low voltage area of the power grid, and counting the clamping datum reference angles corresponding to each power transmission wire segment, and referring to fig. 2.
It should be further noted that the fixed position point of each conductive line segment is selected based on the initial position point.
Calculating a clamping reference angle influence coefficient corresponding to a transmission wire in a middle-low voltage area of a power gridThe calculation formula is as follows: />Wherein->The correction factor is indicated as the correction factor to which the set clamp reference angle belongs.
The above-mentioned panoramic image of the middle-low voltage area to which the electric network belongs is collected, the used equipment is a high-definition scanner, and the clamping reference angle influence coefficient corresponding to the electric transmission wire in the middle-low voltage area to which the electric network belongs is calculated, because incorrect clamping angle may cause poor or uneven contact of the electric transmission wire, and may cause fatigue damage, vibration instability and wire falling of the electric transmission wire, further affect the reliability and safety of the electric transmission line and the stability of the electric transmission system, so that the clamping angle of the electric transmission wire needs to be analyzed, and the stable transmission power of the electric transmission wire is ensured.
The sag value corresponding to each transmission conductor segment of the medium-low voltage area of the power grid is collectedAnd predefining the corresponding adaptive sag value of each transmission line segment>At the same time, according to the influence factor corresponding to the predefined unit deviation sag value +>Calculating an influence coefficient of sag value corresponding to a power transmission wire in a middle-low voltage area of a power grid +.>The calculation formula is as follows:wherein->Expressed as a correction factor corresponding to the set sag value.
It should be noted that, the above-mentioned collection of sag values corresponding to each power transmission wire in the medium-low voltage area to which the power grid belongs uses an sag measuring instrument, a larger sag value may increase the length of the wire, which may result in an increase in power loss and a decrease in voltage quality, and an excessively large or excessively small sag may cause contact between the wire and the ground or other objects, which increases the risk of electric shock and short circuit, so it is necessary to analyze sag values in the power transmission wire, thereby ensuring the safety of the power transmission wire.
Specifically, the line operation risk index of the medium-low voltage region to which the power grid belongsThe specific calculation formula is as follows:wherein->And->And the weight factors are respectively expressed as clamping reference angle influence coefficients and sag value influence coefficients corresponding to the power transmission wires in the middle-low voltage area of the set power grid.
In a specific embodiment, the running states of the high-voltage area, the middle-low voltage area and the power grid are monitored, the line running risk indexes of the high-voltage area, the middle-low voltage area and the power grid are analyzed and calculated, the power grid is divided according to voltage levels, a finer analysis result is provided for analyzing the stable running degree of the power grid, and a scientific and reasonable supporting basis can be provided for subsequent risk assessment of the running states of the power grid areas.
The weather severity analysis module is used for collecting weather data of the appointed area, analyzing weather severity indexes of the appointed area and grading the weather severity of the appointed area.
Specifically, the specific analysis process includes:
monitoring and counting the temperature of a designated area at each monitoring time pointMoisture->And wind speed->At the same time, the adapted operating temperature of the specified regional power grid is predefined +.>Adaptive run humidity->And maximum allowable wind speed->。
It should be noted that, the above-mentioned monitoring and statistics of the temperature, humidity and wind speed of the designated area at each monitoring time point, the used devices are a thermometer, a humidity sensor and a wind speed sensor, respectively, under the high temperature environment, the circuit elements and wires may become unstable and cause ageing and damage of the circuit elements, and the service life of the circuit is reduced, so that the temperature range needs to be considered, and the high humidity environment may cause corrosion and leakage problems of the circuit, which may reduce the reliability and performance of the circuit, and in the high wind speed environment, the acting force of wind may exert pressure on the circuit and the electronic components, resulting in circuit failure, so that the analysis of temperature, humidity and wind speed is to provide more detailed data basis for the subsequent evaluation of the level of bad weather.
Calculating weather influence degree coefficient of specified areaThe calculation formula is as follows: />Wherein->、/>And->The correction factors are respectively expressed as the set temperature, humidity and wind speed;
the time period between two adjacent monitoring time points is recorded as a monitoring time period, and the accumulated rainfall of the designated area in each monitoring time period is monitored and countedWherein j is denoted by the number of each monitoring period,/->。
It should be noted that, the above-mentioned monitoring and statistics of the accumulated rainfall of the designated area in each monitoring period uses a rain gauge, the circuit is exposed to rain, the moisture may permeate into the circuit board and the connector, resulting in problems of electric leakage and short circuit of the circuit, and may cause malfunction of the circuit or even damage of the device, while the moisture in the rainfall may have oxygen and other chemical substances, which may cause corrosion and oxidation of circuit elements and wires, further reduce the reliability and performance of the circuit, so that the rainfall needs to be analyzed to evaluate the running risk of the power grid more efficiently.
According to the influence factor corresponding to the predefined unit rainfallAnd according to the maximum allowable rainfall of the designated area>Calculating the rainfall influence degree coefficient of the designated area +.>The calculation formula is as follows:wherein->Indicated as a correction factor corresponding to the set rainfall.
Further, the specific analysis process of grading the weather severity of the designated area is as follows:
calculating weather severity index of specified areaThe calculation formula is as follows: />Wherein->Andthe weather-influencing degree coefficient and the rainfall-influencing degree coefficient are respectively expressed as weight factors corresponding to the set specified region.
And comparing the weather severity index of the appointed area with the weather severity level corresponding to each predefined weather severity index interval to obtain the weather severity level corresponding to the appointed area.
The power grid operation risk assessment module is used for comprehensively analyzing the power grid stable operation degree coefficient of the designated area and carrying out risk assessment early warning on the power grid operation state of the designated area.
Specifically, the power grid steady operation degree coefficient of the designated areaThe specific calculation formula is as follows:wherein->And->And respectively representing the weight factors corresponding to the line operation risk indexes of the high-voltage area and the medium-low voltage area of the set power grid.
Further, the risk assessment and early warning are carried out on the running state of the power grid in the designated area, and the specific analysis process is as follows:
and matching each meteorological severe level interval with a corresponding power grid steady operation degree coefficient threshold value to obtain a power grid steady operation degree coefficient threshold value of the designated area, comparing the power grid steady operation degree coefficient threshold value with the power grid steady operation degree coefficient of the designated area, and if the power grid steady operation degree coefficient of the designated area is lower than the power grid steady operation degree coefficient threshold value, performing risk assessment and early warning on the power grid operation state of the designated area.
In a specific embodiment, the risk assessment early warning is carried out on the power grid running state of the designated area by analyzing the power grid stable running degree coefficient of the designated area, so that the timeliness of risk management and control on the power grid running state is improved, management of related personnel is facilitated, and the stability of a power transmission line in the power grid can be reasonably and efficiently ensured.
The data information base is used for storing panoramic images of initial application of each tower foot corresponding to each power transmission tower, storing rated voltage, rated current and maximum allowable output power corresponding to each power equipment, and storing initial clamping reference angles corresponding to each power transmission wire section.
In a specific embodiment, the invention provides the grid operation risk assessment system based on severe weather, so that the operation state in the grid is analyzed in a detailed mode, the scientificalness level of high-efficiency analysis on the stable operation degree of the grid is effectively improved, and a more scientific and reliable data basis is provided for comprehensively reflecting the operation state of the grid, so that the stable operation degree of the grid can be accurately analyzed in severe weather.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. A system for evaluating risk of grid operation based on severe weather, comprising:
the power transmission tower structure information identification and analysis module is used for carrying out structure information identification on each power transmission tower in the designated area, analyzing and calculating the structural stability degree index of each power transmission tower in the designated area, and carrying out structural abnormality feedback prompt;
the designated area power grid monitoring and analyzing module is used for monitoring the running states of the high-voltage area, the middle-low voltage area and the power grid, and analyzing and calculating the line running risk indexes of the high-voltage area, the middle-low voltage area and the power grid;
the weather severity analysis module is used for collecting weather data of the designated area, analyzing weather severity indexes of the designated area and grading the weather severity of the designated area;
the power grid operation risk assessment module is used for comprehensively analyzing the power grid stable operation degree coefficient of the designated area and carrying out risk assessment early warning on the power grid operation state of the designated area;
and the data information base is used for storing panoramic images of initial application of each tower foot corresponding to each power transmission tower, rated voltage, rated current and maximum allowable output power corresponding to each power equipment and storing initial clamping reference angles corresponding to each power transmission wire section.
2. A system for evaluating risk of grid operation based on severe weather according to claim 1, wherein: the specific analysis process of the structure information identification of each power transmission tower in the designated area is as follows:
collecting panoramic images of each power transmission tower in a designated area, extracting panoramic images of each tower foot corresponding to each power transmission tower in the designated area from the panoramic images, and storing the panoramic images of each tower foot corresponding to each power transmission tower in a databaseThe panoramic images are initially applied to all tower feet for comparison, and the superposition volume of all tower feet corresponding to all power transmission towers in a designated area is obtainedWherein p represents the number of each transmission tower,r is the number of each tower foot, < +.>Simultaneously extracting the initial volume of each tower foot corresponding to each power transmission tower>；
Calculating the corresponding tower foot volume coincidence coefficient of each power transmission tower in the designated areaThe calculation formula is as follows:wherein->The column foot volume correction factor is expressed as a set column foot volume correction factor, and e is expressed as a natural constant;
monitoring supporting stress values of tower feet corresponding to each power transmission tower in designated areaMeanwhile, according to the adaptive stress value of the tower feet of each power transmission tower of the predefined designated area +.>Calculating proper tower foot stress coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows:/>wherein->And->Respectively representing the set tower foot stress uniformity correction factor and the deviation correction factor;
similarly, the vertical offset of the tower body corresponding to each power transmission tower in the designated area is monitoredAnd horizontal offset->And permit vertical offset amount according to the corresponding tower body of each power transmission tower of the designated area>And allowable horizontal offset->Calculating proper tower body deviation coefficient corresponding to each power transmission tower in a designated area>The calculation formula is as follows:wherein->And->Respectively representing correction factors corresponding to the set vertical offset and the set horizontal offset of the tower body;
monitoring a designated areaWind load value corresponding to each power transmission towerMeanwhile, according to the adaptive wind load value corresponding to each power transmission tower of the set designated area +.>And according to a correction factor corresponding to a predefined wind load value +.>Calculating the wind load suitable coefficient corresponding to each power transmission tower in the designated area>The calculation formula is as follows: />Wherein->Expressed as an influence factor corresponding to the set unit wind load value.
3. A system for evaluating risk of grid operation based on severe weather according to claim 2, characterized in that: the specific analysis process of the feedback prompt for structural abnormality is as follows:
comprehensively calculating structural stability degree index of each power transmission tower in designated areaThe calculation formula is as follows:wherein->、/>、/>And->Respectively representing the weight factors of the tower foot volume coincidence coefficient, the tower foot stress suitability coefficient, the tower body deviation suitability coefficient and the wind load suitability coefficient corresponding to the set power transmission tower;
comparing the structural stability degree index of each power transmission tower in the designated area with a preset power transmission tower structural stability degree index threshold, and if the structural stability degree index of a certain power transmission tower in the designated area is lower than the power transmission tower structural stability degree index threshold, carrying out structural abnormality feedback prompt on the power transmission tower.
4. A system for evaluating risk of grid operation based on severe weather according to claim 1, wherein: the line operation risk index of the high-voltage area to which the power grid belongs comprises the following specific analysis processes: dividing equal time length according to a set monitoring period to obtain a plurality of monitoring time points, recording the monitoring time points, simultaneously counting all power equipment of a high-voltage area of a power grid, and monitoring transmission voltage of all power equipment of the high-voltage area of the power grid at all the monitoring time pointsAnd transmit current +.>Wherein v is denoted by the number of each power device, ">I is denoted as the number of each monitoring time point,m is expressed as the number of monitoring time points, and rated voltage corresponding to each power equipment is extracted from a data information base>And rated current->；
Calculating power transmission influence coefficients corresponding to all devices in high-voltage area of power gridThe calculation formula is as follows:wherein->And->Respectively representing the correction factors corresponding to the set transmission voltage and the set transmission current;
maximum output power of each electric power equipment for monitoring high-voltage area of power grid under monitoring periodSimultaneously extracting maximum allowable output power of each power equipment from the data information base>And corresponding correction factor according to predefined output power ratio>Calculating output power influence coefficients corresponding to devices in a high-voltage area to which a power grid belongs>The calculation formula is as follows:wherein->An influence factor corresponding to the predefined unit output power;
calculating line operation risk index of high-voltage area to which power grid belongsThe calculation formula is as follows:wherein->And->And the weight factors are respectively expressed as the power transmission influence coefficient and the output power influence coefficient corresponding to the equipment in the high-voltage area of the set power grid.
5. A system for evaluating risk of grid operation based on severe weather according to claim 1, wherein: the line operation risk index of the medium-low voltage area to which the power grid belongs comprises the following specific analysis processes:
collecting panoramic images of the middle and low voltage areas of the power grid, positioning the panoramic images to fixed position points of all power transmission wires of the middle and low voltage areas of the power grid, extracting reference points according to set lengths, constructing clamping reference angles corresponding to all power transmission wire sections of the middle and low voltage areas of the power grid, and extracting clamping reference angles corresponding to all power transmission wire sections of the middle and low voltage areas of the power gridWherein x is the number of each conductive line segment, ">Simultaneously extracting each from the databaseInitial clamping reference angle corresponding to electric transmission line segment>；
Calculating a clamping reference angle influence coefficient corresponding to a transmission wire in a middle-low voltage area of a power gridThe calculation formula is as follows: />Wherein->Representing the correction factor of the set clamping reference angle;
the sag value corresponding to each transmission conductor segment of the medium-low voltage area of the power grid is collectedAnd predefining the corresponding adaptive sag value of each transmission line segment>At the same time, according to the influence factor corresponding to the predefined unit deviation sag value +>Calculating an influence coefficient of sag value corresponding to a power transmission wire in a middle-low voltage area of a power grid +.>The calculation formula is as follows:wherein->Expressed as a correction factor corresponding to the set sag value.
6. The severe weather based grid operation risk assessment system of claim 5, wherein: line operation risk index of medium-low voltage region to which the power grid belongsThe specific calculation formula is as follows: />Wherein->And->And the weight factors are respectively expressed as clamping reference angle influence coefficients and sag value influence coefficients corresponding to the power transmission wires in the middle-low voltage area of the set power grid.
7. A system for evaluating risk of grid operation based on severe weather according to claim 1, wherein: the specific analysis process comprises the following steps of:
monitoring and counting the temperature of a designated area at each monitoring time pointMoisture->And wind speed->At the same time, the adapted operating temperature of the specified regional power grid is predefined +.>Adaptive run humidity->And maximum allowable wind speed->；
Calculating weather influence degree coefficient of specified areaThe calculation formula is as follows:wherein->、/>And->The correction factors are respectively expressed as the set temperature, humidity and wind speed;
the time period between two adjacent monitoring time points is recorded as a monitoring time period, and the accumulated rainfall of the designated area in each monitoring time period is monitored and countedWherein j is denoted by the number of each monitoring period,/->；
According to the influence factor corresponding to the predefined unit rainfallAnd according to the set maximum allowable rainfall of the designated areaCalculating the rainfall influence degree coefficient of the designated area +.>The calculation formula is as follows: />Wherein->Indicated as a correction factor corresponding to the set rainfall.
8. The severe weather based grid operation risk assessment system of claim 7, wherein: the specific analysis process of grading the weather severity of the designated area is as follows:
calculating weather severity index of specified areaThe calculation formula is as follows: />Wherein->And->Respectively representing the weather influence degree coefficient and the weight factor corresponding to the rainfall influence degree coefficient of the set designated area;
and comparing the weather severity index of the appointed area with the weather severity level corresponding to each predefined weather severity index interval to obtain the weather severity level corresponding to the appointed area.
9. The severe weather based grid operation risk assessment system of claim 6, wherein: the power grid stable operation degree coefficient of the designated areaThe specific calculation formula is as follows: />WhereinAnd->And respectively representing the weight factors corresponding to the line operation risk indexes of the high-voltage area and the medium-low voltage area of the set power grid.
10. A system for evaluating risk of grid operation based on severe weather according to claim 1, wherein: the risk assessment early warning is carried out on the running state of the power grid in the designated area, and the specific analysis process is as follows:
and matching each meteorological severe level interval with a corresponding power grid steady operation degree coefficient threshold value to obtain a power grid steady operation degree coefficient threshold value of the designated area, comparing the power grid steady operation degree coefficient threshold value with the power grid steady operation degree coefficient of the designated area, and if the power grid steady operation degree coefficient of the designated area is lower than the power grid steady operation degree coefficient threshold value, performing risk assessment and early warning on the power grid operation state of the designated area.
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