CN117764991B - Transformer capacity-increasing operation risk control method and device - Google Patents
Transformer capacity-increasing operation risk control method and device Download PDFInfo
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Abstract
The application provides a method and a device for controlling capacity-increasing operation risk of a transformer. According to the method, an infrared temperature measurement image of the target transformer and the output end line temperature of the target transformer are obtained when the target transformer operates under a capacity-increasing working condition, then the current operation risk level of the capacity-increasing working condition of the target transformer is determined according to the infrared temperature measurement image, the output end line temperature and a preset operation risk assessment model, and when the operation risk level is higher than the preset operation safety level, the target transformer is controlled to be switched to a capacity-decreasing working condition, so that automatic judgment of the operation risk of the transformer under the capacity-increasing working condition is achieved, and when the operation risk is determined, operation adjustment can be timely carried out, so that the safety of the target transformer and an integral power supply line is guaranteed.
Description
Technical Field
The present application relates to data processing technologies, and in particular, to a method and an apparatus for controlling a capacity-increasing operation risk of a transformer.
Background
Overhead transmission lines are the most common means of power transmission for transmitting electrical energy generated by a power plant from the power plant to cities, industrial areas and residential areas.
The overhead transmission line is an efficient, economical, flexible and reliable power transmission mode, and has important significance in a power system. The transformer technology can support long-distance and large-capacity requirements of power transmission, promote development and utilization of renewable energy sources, and improve reliability and maintainability of a power system. In order to further improve the transmission capacity of the existing transmission line and meet the increase of power demand, a dynamic capacity-increasing technology is generally configured in a power supply network.
However, under the capacity-increasing working condition of the transformer, because of the increased load, if risk monitoring is not performed in time, the safety accident of the transformer is extremely easy to be caused.
Disclosure of Invention
The application provides a method and a device for controlling the capacity-increasing operation risk of a transformer, which are used for solving the technical problem that the safety accident of the transformer is easy to cause if the risk monitoring is not carried out in time under the capacity-increasing working condition of the transformer.
In a first aspect, the present application provides a method for controlling a capacity-increasing operation risk of a transformer, including:
Acquiring an infrared temperature measurement image of a target transformer under the capacity-increasing working condition, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer;
acquiring the output end line temperature of the target transformer, wherein the output end line temperature is the measured temperature of a line of the target transformer for outputting voltage;
Determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model;
And if the operation risk level is higher than a preset operation safety level, controlling the target transformer to switch to a capacity-reducing working condition.
Optionally, the determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model includes:
determining the highest temperature of windings in the infrared temperature measurement data according to the infrared temperature measurement image ；
Using equation 1 and according to the maximum temperature of the windingThe output end line temperature/>Determining a running risk score/>The formula 1 is:
wherein, For the first characteristic parameter,/>，/>As a second characteristic parameter, the first characteristic parameter,，/>Is a first weight value, and/>Is positively correlated with the operational life of the target transformer,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest safe working temperature of the output end line is obtained;
if the running risk scores And if the operation risk grade is larger than a preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
Optionally, the method for controlling the capacity-increasing operation risk of the transformer further includes:
Obtaining output end line data of the target transformer under a steady-state working condition to form an output end line data set The output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>The output end line data set/>The method comprises the following steps:
wherein, For the output line dataset/>Total number of line data at output end of (1)/>For the output line dataset/>/>Output end line data;
establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient;
According to the heat balance equation and the output end line data set Determining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>；
According to equation 2 and using the radiation absorption coefficientAnd the radiation heat dissipation coefficient/>Determining the second weight value/>。
Optionally, the step of generating the output-side line data set according to the heat balance equationDetermining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>Comprising:
According to the radiation absorption coefficient Corresponding preset first value range and the radiation heat dissipation coefficient/>The corresponding preset second value range is substituted into the heat balance equation in a traversal iteration mode, and the overall error/>' is calculated according to a formula 2The formula 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueAnd the radiation heat dissipation coefficient/>。
Optionally, before the controlling the target transformer to switch to the capacity-reduction working condition, the method includes:
Generating a capacity reduction working condition request, and sending the capacity reduction working condition request to a transformer working condition management platform, wherein the capacity reduction working condition request comprises equipment information of the target transformer, a capacity increase working condition triggering request of the capacity increase working condition and an output end power supply range of the target transformer;
generating a capacity reduction confirmation page according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer;
After the input confirmation instruction is obtained from the capacity reduction confirmation page, the transformer working condition management platform sends capacity reduction working condition confirmation information to the target transformer so as to control the target transformer to switch to the capacity reduction working condition.
Optionally, before the transformer working condition management platform sends the capacity reduction working condition confirmation information to the target transformer, the method further includes:
using equation 3 and according to the running risk score The preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThe capacity reduction condition confirmation information comprises the second working capacity/>The formula 3 is:
wherein, Is the rated capacity of the target transformer.
Optionally, in said scoring according to said running riskThe preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThereafter, the method further comprises:
determining a power supply priority according to the power supply range of the output end of the target transformer, and determining a standby transformer according to the power supply range of the output end by the target transformer if the power supply priority is greater than a preset priority;
The standby transformer and the target transformer are controlled to jointly supply power for the power supply range of the output end, and the third working capacity corresponding to the standby transformer 。
In a second aspect, the present application provides a device for controlling a risk of capacity-increasing operation of a transformer, including:
the acquisition module is used for acquiring an infrared temperature measurement image of the target transformer when the target transformer operates under a capacity-increasing working condition, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer;
The acquisition module is further configured to acquire an output end line temperature of the target transformer, where the output end line temperature is a measured temperature of a line of the target transformer on one side of an output voltage;
The processing module is used for determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model;
And the control module is used for controlling the target transformer to switch to the capacity-reducing working condition when the operation risk level is higher than a preset operation safety level.
Optionally, the processing module is specifically configured to:
determining the highest temperature of windings in the infrared temperature measurement data according to the infrared temperature measurement image ；
Using equation 1 and according to the maximum temperature of the windingThe output end line temperature/>Determining a running risk score/>The formula 1 is:
wherein, For the first characteristic parameter,/>，/>As a second characteristic parameter, the first characteristic parameter,，/>Is a first weight value, and/>Is positively correlated with the operational life of the target transformer,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest safe working temperature of the output end line is obtained;
if the running risk scores And if the operation risk grade is larger than a preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
Optionally, the processing module is specifically configured to:
Obtaining output end line data of the target transformer under a steady-state working condition to form an output end line data set The output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>The output end line data set/>The method comprises the following steps:
wherein, For the output line dataset/>Total number of line data at output end of (1)/>For the output line dataset/>/>Output end line data;
establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient;
According to the heat balance equation and the output end line data set Determining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>；
According to equation 2 and using the radiation absorption coefficientAnd the radiation heat dissipation coefficient/>Determining the second weight value/>。
Optionally, the processing module is specifically configured to:
According to the radiation absorption coefficient Corresponding preset first value range and the radiation heat dissipation coefficient/>The corresponding preset second value range is substituted into the heat balance equation in a traversal iteration mode, and the overall error/>' is calculated according to a formula 2The formula 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueAnd the radiation heat dissipation coefficient/>。
Optionally, the control module is specifically configured to:
Generating a capacity reduction working condition request, and sending the capacity reduction working condition request to a transformer working condition management platform, wherein the capacity reduction working condition request comprises equipment information of the target transformer, a capacity increase working condition triggering request of the capacity increase working condition and an output end power supply range of the target transformer;
generating a capacity reduction confirmation page according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer;
After the input confirmation instruction is obtained from the capacity reduction confirmation page, the transformer working condition management platform sends capacity reduction working condition confirmation information to the target transformer so as to control the target transformer to switch to the capacity reduction working condition.
Optionally, the control module is specifically configured to:
using equation 3 and according to the running risk score The preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThe capacity reduction condition confirmation information comprises the second working capacity/>The formula 3 is:
wherein, Is the rated capacity of the target transformer.
Optionally, in said scoring according to said running riskThe preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThereafter, the method further comprises:
determining a power supply priority according to the power supply range of the output end of the target transformer, and determining a standby transformer according to the power supply range of the output end by the target transformer if the power supply priority is greater than a preset priority;
The standby transformer and the target transformer are controlled to jointly supply power for the power supply range of the output end, and the third working capacity corresponding to the standby transformer 。
In a third aspect, the present application provides an electronic device comprising:
A processor; and
A memory for storing executable instructions of the processor;
Wherein the processor is configured to perform any one of the possible methods described in the first aspect via execution of the executable instructions.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out any one of the possible methods described in the first aspect.
According to the method and the device for controlling the capacity-increasing operation risk of the transformer, the infrared temperature measurement image of the target transformer and the output end line temperature of the target transformer are obtained when the target transformer operates under the capacity-increasing working condition, then the operation risk level of the current capacity-increasing working condition of the target transformer is determined according to the infrared temperature measurement image, the output end line temperature and the preset operation risk assessment model, and when the operation risk level is higher than the preset operation safety level, the target transformer is controlled to be switched to the capacity-decreasing working condition, so that the automatic judgment of the operation risk of the transformer under the capacity-increasing working condition is realized, and when the operation risk is determined, the operation adjustment can be timely carried out, so that the safety of the target transformer and the whole power supply line is ensured.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a method for controlling risk of a transformer capacity-increasing operation according to an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method for controlling risk of a transformer capacity-increasing operation according to another exemplary embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a configuration of a transformer capacity-increasing operation risk control device according to an exemplary embodiment of the present application;
Fig. 4 is a schematic structural view of an electronic device according to an exemplary embodiment of the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
Fig. 1 is a flow chart illustrating a method for controlling risk of capacity-increasing operation of a transformer according to an exemplary embodiment of the present application. As shown in fig. 1, the method provided in this embodiment includes:
S101, acquiring an infrared temperature measurement image of a target transformer.
Specifically, under the condition that the target transformer operates in the capacity-increasing working condition, an infrared temperature measurement image of the target transformer can be obtained, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer. The infrared temperature measurement image of the target transformer is an image which is shot by an infrared thermal imager and reflects the temperature distribution condition of each part of the transformer. The image can visually display the temperature condition of each component (such as windings, iron cores, lead joints, insulating materials and the like) inside or outside the transformer in the running state. In the infrared thermometry image, the temperature is usually expressed by colors, and the warmer the colors (such as red and yellow), the higher the temperature of the region is; the colder the color (e.g., blue, violet), the lower the representative temperature. By analyzing the images, power operation staff can timely find potential overheat fault points, such as hot spots, local over-high temperature rise, heating caused by poor contact and the like, so that equipment damage is effectively prevented, and the safety and reliability of a power supply system are improved. In addition, the image is marked with a temperature scale and a color corresponding table, so that a specific temperature value can be conveniently read. Under normal conditions, the temperature of each part of the transformer is uniformly distributed and is within the allowable range. If an anomaly occurs, it will appear on the image as a high temperature region that is significantly different from the surrounding, which may be where care and further inspection for maintenance is required.
S102, obtaining the output end line temperature of the target transformer.
Specifically, the output end line temperature of the target transformer can be obtained through the dynamic capacity-increasing monitoring terminal, and the output end line temperature is the measured temperature of the line of the target transformer on the side for outputting the voltage. Optionally, the dynamic capacity-increasing monitoring terminal is an intelligent device in the electric power system, and is mainly used for monitoring the running state and the environmental condition of the high-voltage transmission line in real time, so as to evaluate and determine the maximum allowable current-carrying capacity of the line on the premise of ensuring the safety, and realize the dynamic capacity increase of the transmission line. Such terminals typically integrate a variety of sensor technologies, data communication technologies, and data analysis algorithms, the functions of which include achieving physical quantity monitoring, image monitoring, and wireless communication. The physical quantity monitoring can be realized by measuring the temperature of the lead wire in real time through a temperature sensor arranged on the lead wire, collecting weather information such as wind speed, wind direction, humidity, sunlight intensity and the like, and monitoring the current passing through the power transmission line. For image monitoring, a high-definition camera is used for shooting on-site photos or videos and used for observing the condition of wire waving and the change of the surrounding environment of a circuit. And then, the collected data are transmitted to a monitoring management cloud platform in real time by utilizing wireless communication technologies such as GPRS/3G/4G/5G and the like. Through the dynamic capacity-increasing monitoring terminal, the electric power department can manage the power transmission line more finely, improve the transmission efficiency of the power grid, reduce the potential safety hazard caused by overload, and utilize the existing line resources to the maximum extent on the premise of not affecting the safety.
And S103, determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model.
In this step, the running risk level of the current capacity-increasing working condition of the target transformer may be determined according to the infrared temperature measurement image, the output end line temperature and the preset running risk assessment model.
It is worth noting that the current carrying capacity of overhead transmission lines is mainly dependent on their thermal stability limits. The thermal stability limit refers to the highest temperature limit that the wire can withstand. The thermal stability limit is determined based on the characteristics of the wire material and design considerations, and the upper limit is determined based on the thermal characteristics of the wire material, the wire cross-sectional area, the environmental conditions, and the cooling pattern of the wire. Exceeding the temperature of the thermal stability limit can lead to increased thermal expansion of the wire material, increased wire sag, and thus affect the operational safety of the circuit. Thus, grasping the thermal stability allowance of overhead transmission lines is important for operation and maintenance of the lines.
The thermal stability limit of the transmission line is related to the parameters of the wire itself and the environmental conditions. The wire can generate Joule heat through current, the wire can radiate and absorb heat due to sunlight irradiation, the wire can radiate and dissipate heat to the surrounding environment, and the wind blows through the wire to strengthen convection heat dissipation, and the temperature of the wire is determined by the balance process of heating and heat dissipation. The thermal stability limit of the power transmission line can be accurately calculated by measuring the running current, the ambient temperature, the wind speed and the wind direction and the sunlight intensity of the wire in real time and combining the two characteristic parameters of the wire, namely the radiation heat absorption coefficient and the radiation heat dissipation coefficient.
The environmental parameters are easy to obtain in an on-line monitoring mode, and the existing sensor and monitoring technology are very mature; however, the radiation heat absorption coefficient and radiation heat dissipation coefficient of the wire do not have a good monitoring mode. These two coefficients are closely related to the material of the wire itself (type of metallic material), the structure (shape and twisting pattern of the wire), the surface conditions (wear, oxidation, fouling) and the operational life (coefficient values will also change continuously as the time of operation increases), and no better quantitative characterization method is available at present, which can only be measured in the laboratory by means of special instruments. Inaccuracy of the radiation heat absorption coefficient and the radiation heat dissipation coefficient will cause incorrect assessment of the current carrying capacity of the transmission line, so that potential safety hazards are caused to normal operation and dynamic capacity-increasing operation of the line. Therefore, measures must be taken to obtain accurate values of the radiant heat absorption coefficient and the radiant heat dissipation coefficient.
Therefore, in this embodiment, by collecting the operation parameters and the environmental parameters of the power transmission line, and by using the thermal balance equation of the power transmission line, an optimization solution model of the radiation heat absorption coefficient and the radiation heat dissipation coefficient of the line is established, so as to realize accurate solution of the heat absorption coefficient and the heat dissipation coefficient based on the thought of minimizing the overall error of the thermal balance equation, so as to solve the problem that the radiation heat absorption coefficient and the heat dissipation coefficient of the current power transmission line are difficult to be obtained effectively, and be helpful to improve the accuracy and the reliability of the evaluation result of the thermal stability limit of the power transmission line.
Specifically, the method can determine the highest temperature of the winding in the infrared temperature measurement data according to the infrared temperature measurement image. Using equation 1 and according to winding maximum temperature/>Output terminal line temperature/>Determining a running risk score/>Equation 1 is:
wherein, For the first characteristic parameter,/>，/>As a second characteristic parameter, the first characteristic parameter,，/>Is a first weight value, and/>The value of (2) is positively correlated with the operational life of the target transformer,Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest temperature is safe for the output end circuit.
If run risk scoreAnd if the operation risk grade is larger than the preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
In addition, the output end line data of the target transformer under the steady-state working condition can be obtained to form an output end line data setThe output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>Output-side line dataset/>The method comprises the following steps:
wherein, For output line dataset/>Total number of line data at output end of (1)/>For the output line data set/>And output port line data.
Establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient. /(I)Joule heat generated for current passing through the wire,/>Heating value for wire absorbing solar radiation,/>For wind blowing through heat carried away by convection,/>Radiating heat to the surrounding environment for the wire.
Furthermore, according to the heat balance equation and the output line data setDetermination of the radiation absorption coefficient/>Radiant heat dissipation coefficient/>; According to equation 2 and using the radiation absorption coefficient/>Radiant heat dissipation coefficient/>Determining the second weight value/>. Through the steps, the first weight value/>The value of (2) is positively correlated with the operation life of the target transformer, and the second weight value/>The value of the preset operation risk assessment model is related to the radiation absorption coefficient and the radiation heat dissipation coefficient, so that the preset operation risk assessment model can be applied to different working conditions, and the operation risk can be accurately assessed according to the specific conditions of equipment in different working conditions.
Furthermore, for the above-described line data set according to the thermal equilibrium equationDetermination of the radiation absorption coefficient/>Radiant heat dissipation coefficient/>. Specifically, it may be based on the radiation absorption coefficient/>Corresponding preset first value range and radiant heat dissipation coefficient/>The corresponding preset second value range is substituted into a thermal balance equation in a traversal iteration mode, and the overall error/>, according to formula 2, is calculatedEquation 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueRadiant heat dissipation coefficient/>。
In one possible implementation, the radiation absorption coefficient may beThe reasonable value range of (2) is 0.2-1.0, and the radiation heat dissipation coefficient/>The reasonable value range of (2) is 0.2-1.0. Will/>, respectivelyTaken as 0.2, 0.3, 0.4, …, 1.0, will/>Taking 0.2, 0.3, 0.4, … and 1.0, substituting into a wire thermal equilibrium equation to obtain/>Overall error of the set of thermal equilibrium equations/>. Wherein, in the formula,/>Traversal 0.2, 0.3, 0.4, …, 1.0,/>Traversing 0.2, 0.3, 0.4, …, 1.0. /(I)And/>There are a total of 81 different combinations, i.e. a total of 81/>Values, wherein/>, can be madeCorresponding to the minimum valueAnd/>The real radiation absorption coefficient and radiation heat dissipation coefficient of the power transmission wire are obtained through solving.
S104, controlling the target transformer to switch to a capacity reduction working condition.
And if the operation risk level is higher than the preset operation safety level, controlling the target transformer to switch to the capacity-reducing working condition.
In this embodiment, an infrared temperature measurement image of a target transformer and an output end line temperature of the target transformer are obtained when the target transformer operates under a capacity-increasing working condition, then, an operation risk level of the current capacity-increasing working condition of the target transformer is determined according to the infrared temperature measurement image, the output end line temperature and a preset operation risk assessment model, and when the operation risk level is higher than the preset operation safety level, the target transformer is controlled to switch to a capacity-decreasing working condition, so that automatic judgment of the operation risk of the transformer under the capacity-increasing working condition is realized, and when the operation risk is determined, operation adjustment can be timely performed, thereby ensuring the safety of the target transformer and an integral power supply line.
Fig. 2 is a flow chart illustrating a method for controlling a risk of a capacity-increasing operation of a transformer according to another exemplary embodiment of the present application. As shown in fig. 2, the method for controlling the risk of capacity-increasing operation of the transformer provided in this embodiment includes:
S201, acquiring an infrared temperature measurement image of a target transformer.
Specifically, under the condition that the target transformer operates in the capacity-increasing working condition, an infrared temperature measurement image of the target transformer can be obtained, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer.
S202, obtaining the output end line temperature of the target transformer.
Specifically, the output end line temperature of the target transformer can be obtained through the dynamic capacity-increasing monitoring terminal, and the output end line temperature is the measured temperature of the line of the target transformer on the side for outputting the voltage.
S203, determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model.
In this step, the running risk level of the current capacity-increasing working condition of the target transformer may be determined according to the infrared temperature measurement image, the output end line temperature and the preset running risk assessment model.
Specifically, the method can determine the highest temperature of the winding in the infrared temperature measurement data according to the infrared temperature measurement image. Using equation 1 and according to winding maximum temperature/>Output terminal line temperature/>Determining a running risk score/>Equation 1 is:
wherein, For the first characteristic parameter,/>，/>As a second characteristic parameter, the first characteristic parameter,，/>Is a first weight value, and/>The value of (2) is positively correlated with the operational life of the target transformer,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest temperature is safe for the output end circuit.
If run risk scoreAnd if the operation risk grade is larger than the preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
In addition, the output end line data of the target transformer under the steady-state working condition can be obtained to form an output end line data setThe output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>Output-side line dataset/>The method comprises the following steps:
wherein, For output line dataset/>Total number of line data at output end of (1)/>For the output line data set/>And output port line data.
Establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient. /(I)Joule heat generated for current passing through the wire,/>Heating value for wire absorbing solar radiation,/>For wind blowing through heat carried away by convection,/>Radiating heat to the surrounding environment for the wire.
Furthermore, according to the heat balance equation and the output line data setDetermination of the radiation absorption coefficient/>Radiant heat dissipation coefficient/>; According to equation 2 and using the radiation absorption coefficient/>Radiant heat dissipation coefficient/>Determining the second weight value/>. Through the steps, the first weight value/>The value of (2) is positively correlated with the operation life of the target transformer, and the second weight value/>The value of the preset operation risk assessment model is related to the radiation absorption coefficient and the radiation heat dissipation coefficient, so that the preset operation risk assessment model can be applied to different working conditions, and the operation risk can be accurately assessed according to the specific conditions of equipment in different working conditions.
Furthermore, for the above-described line data set according to the thermal equilibrium equationDetermination of the radiation absorption coefficient/>Radiant heat dissipation coefficient/>. Specifically, it may be based on the radiation absorption coefficient/>Corresponding preset first value range and radiant heat dissipation coefficient/>The corresponding preset second value range is substituted into a thermal balance equation in a traversal iteration mode, and the overall error/>, according to formula 2, is calculatedEquation 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueRadiant heat dissipation coefficient/>。
In one possible implementation, the radiation absorption coefficient may beThe reasonable value range of (2) is 0.2-1.0, and the radiation heat dissipation coefficient/>The reasonable value range of (2) is 0.2-1.0. Will/>, respectivelyTaken as 0.2, 0.3, 0.4, …, 1.0, will/>Taking 0.2, 0.3, 0.4, … and 1.0, substituting into a wire thermal equilibrium equation to obtain/>Overall error of the set of thermal equilibrium equations/>. Wherein, in the formula,/>Traversal 0.2, 0.3, 0.4, …, 1.0,/>Traversing 0.2, 0.3, 0.4, …, 1.0. /(I)And/>There are a total of 81 different combinations, i.e. a total of 81/>Values, wherein/>, can be madeCorresponding to the minimum valueAnd/>The real radiation absorption coefficient and radiation heat dissipation coefficient of the power transmission wire are obtained through solving.
S204, generating a capacity-reducing working condition request, and sending the capacity-reducing working condition request to a transformer working condition management platform.
Specifically, a capacity reduction working condition request can be generated and sent to the transformer working condition management platform, wherein the capacity reduction working condition request comprises equipment information of a target transformer, a capacity increase working condition triggering request of a capacity increase working condition and an output end power supply range of the target transformer. It should be noted that the capacity reduction of the transformer means that the operation capacity of the transformer is reduced and the workload of the transformer is reduced.
S205, generating a capacity reduction confirmation page according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer.
Specifically, a capacity reduction confirmation page is generated according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer. The transformer working condition management platform can be arranged in a power supply station, and the capacity reduction confirmation page can be displayed on a transformer management terminal of the power supply station, so that whether capacity reduction processing can be performed is determined in a manual checking mode.
S206, the transformer working condition management platform sends capacity reduction working condition confirmation information to the target transformer so as to control the target transformer to switch to the capacity reduction working condition.
It is worth noting that equation 3 may be utilized and that the running risk score is basedPresetting a running risk scoring threshold value and a first working capacity/> of a target transformer under a capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThe capacity reduction condition confirmation information comprises a second working capacity/>Equation 3 is:
wherein, Is the rated capacity of the target transformer.
S207, controlling the target transformer to switch to a capacity reduction working condition.
And if the operation risk level is higher than the preset operation safety level, controlling the target transformer to switch to the capacity-reducing working condition. Further, in scoring according to running riskPreset running risk score threshold/>First working capacity/>, of target transformer under capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionAnd then, the power supply priority can be determined according to the power supply range of the output end of the target transformer, and if the power supply priority is greater than the preset priority, the target transformer determines the standby transformer according to the power supply range of the output end. And the standby transformer and the target transformer are controlled to supply power for the power supply range of the output end, and the third working capacity/>, corresponding to the standby transformer。
Fig. 3 is a schematic structural diagram of a transformer capacity-increasing operation risk control device according to an exemplary embodiment of the present application. As shown in fig. 3, the apparatus 300 provided in this embodiment includes:
an obtaining module 310, configured to obtain an infrared temperature measurement image of a target transformer when the target transformer operates under a capacity-increasing working condition, where the infrared temperature measurement image includes infrared temperature measurement data of a winding portion of the target transformer;
The obtaining module 310 is further configured to obtain an output end line temperature of the target transformer, where the output end line temperature is a measured temperature of a line of the target transformer on a side where the output voltage is output;
the processing module 320 is configured to determine an operation risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset operation risk assessment model;
And the control module 330 is configured to control the target transformer to switch to a capacity-reduction working condition when the running risk level is higher than a preset running safety level.
Optionally, the processing module 320 is specifically configured to:
determining the highest temperature of windings in the infrared temperature measurement data according to the infrared temperature measurement image ；
Using equation 1 and according to the maximum temperature of the windingThe output end line temperature/>Determining a running risk score/>The formula 1 is:
wherein, For the first characteristic parameter,/>，/>As a second characteristic parameter, the first characteristic parameter,，/>Is a first weight value, and/>Is positively correlated with the operational life of the target transformer,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest safe working temperature of the output end line is obtained;
if the running risk scores And if the operation risk grade is larger than a preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
Optionally, the processing module 320 is specifically configured to:
Obtaining output end line data of the target transformer under a steady-state working condition to form an output end line data set The output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>The output end line data set/>The method comprises the following steps:
wherein, For the output line dataset/>Total number of line data at output end of (1)/>For the output line dataset/>/>Output end line data;
establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient;
According to the heat balance equation and the output end line data set Determining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>；
According to equation 2 and using the radiation absorption coefficientAnd the radiation heat dissipation coefficient/>Determining the second weight value/>。
Optionally, the processing module 320 is specifically configured to:
According to the radiation absorption coefficient Corresponding preset first value range and the radiation heat dissipation coefficient/>The corresponding preset second value range is substituted into the heat balance equation in a traversal iteration mode, and the overall error/>' is calculated according to a formula 2The formula 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueAnd the radiation heat dissipation coefficient/>。
Optionally, the control module 330 is specifically configured to:
Generating a capacity reduction working condition request, and sending the capacity reduction working condition request to a transformer working condition management platform, wherein the capacity reduction working condition request comprises equipment information of the target transformer, a capacity increase working condition triggering request of the capacity increase working condition and an output end power supply range of the target transformer;
generating a capacity reduction confirmation page according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer;
After the input confirmation instruction is obtained from the capacity reduction confirmation page, the transformer working condition management platform sends capacity reduction working condition confirmation information to the target transformer so as to control the target transformer to switch to the capacity reduction working condition.
Optionally, the control module 330 is specifically configured to:
using equation 3 and according to the running risk score The preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThe capacity reduction condition confirmation information comprises the second working capacity/>The formula 3 is:
wherein, Is the rated capacity of the target transformer.
Optionally, in said scoring according to said running riskThe preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThereafter, the method further comprises:
determining a power supply priority according to the power supply range of the output end of the target transformer, and determining a standby transformer according to the power supply range of the output end by the target transformer if the power supply priority is greater than a preset priority;
The standby transformer and the target transformer are controlled to jointly supply power for the power supply range of the output end, and the third working capacity corresponding to the standby transformer 。/>
Fig. 4 is a schematic structural view of an electronic device according to an exemplary embodiment of the present application. As shown in fig. 4, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; wherein:
a memory 402 for storing a computer program, which memory may also be a flash memory.
A processor 401 for executing the execution instructions stored in the memory to implement the steps in the above method. Reference may be made in particular to the description of the embodiments of the method described above.
Alternatively, the memory 402 may be separate or integrated with the processor 401.
When the memory 402 is a device separate from the processor 401, the electronic apparatus 400 may further include:
a bus 403 for connecting the memory 402 and the processor 401.
The present embodiment also provides a readable storage medium having a computer program stored therein, which when executed by at least one processor of an electronic device, performs the methods provided by the various embodiments described above.
The present embodiment also provides a program product comprising a computer program stored in a readable storage medium. The computer program may be read from a readable storage medium by at least one processor of an electronic device, and executed by the at least one processor, causes the electronic device to implement the methods provided by the various embodiments described above.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (9)
1. The method for controlling the capacity-increasing operation risk of the transformer is characterized by comprising the following steps of:
Acquiring an infrared temperature measurement image of a target transformer under the capacity-increasing working condition, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer;
acquiring the output end line temperature of the target transformer, wherein the output end line temperature is the measured temperature of a line of the target transformer for outputting voltage;
Determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model;
If the operation risk level is higher than a preset operation safety level, controlling the target transformer to switch to a capacity-reducing working condition;
the determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model comprises the following steps:
determining the highest temperature of windings in the infrared temperature measurement data according to the infrared temperature measurement image ；
Using equation 1 and according to the maximum temperature of the windingThe output end line temperature/>Determining a running risk score/>The formula 1 is:
wherein, For the first characteristic parameter,/>，/>For the second characteristic parameter,/>，For the first weight value,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest safe working temperature of the output end line is obtained;
if the running risk scores And if the operation risk grade is larger than a preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
2. The method for controlling the risk of capacity-increasing operation of a transformer according to claim 1, further comprising:
Obtaining output end line data of the target transformer under a steady-state working condition to form an output end line data set The output line data includes output current/>Output end temperature/>Ambient solar intensity/>Ambient wind speed/>Ambient wind direction/>Ambient temperature/>The output end line data set/>The method comprises the following steps:
wherein, For the output line dataset/>Total number of line data at output end of (1)/>For the output line dataset/>/>Output end line data;
establishing a heat balance equation of an output end circuit of the target transformer under a steady-state working condition, wherein the heat balance equation is as follows:
wherein, For the resistance of the line per unit length at a preset temperature,/>For the material temperature coefficient of the circuit at the preset temperature,/>Is the radiation absorption coefficient,/>Is the diameter of the line,/>Is wind direction angle influencing factor,/>Is the radiation heat dissipation coefficient;
According to the heat balance equation and the output end line data set Determining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>；
According to equation 2 and using the radiation absorption coefficientAnd the radiation heat dissipation coefficient/>Determining the second weight value。
3. The method of claim 2, wherein the step of generating the output line dataset according to the thermal balance equationDetermining the radiation absorption coefficient/>And the radiation heat dissipation coefficient/>Comprising:
According to the radiation absorption coefficient Corresponding preset first value range and the radiation heat dissipation coefficient/>The corresponding preset second value range is substituted into the heat balance equation in a traversal iteration mode, and the overall error/>' is calculated according to a formula 2The formula 2 is:
Acquisition of The radiation absorption coefficient/>, which corresponds to the minimum valueAnd the radiation heat dissipation coefficient/>。
4. A method of controlling risk of capacity-increasing operation of a transformer according to any one of claims 2 to 3, comprising, before said controlling said target transformer to switch to a capacity-decreasing condition:
Generating a capacity reduction working condition request, and sending the capacity reduction working condition request to a transformer working condition management platform, wherein the capacity reduction working condition request comprises equipment information of the target transformer, a capacity increase working condition triggering request of the capacity increase working condition and an output end power supply range of the target transformer;
generating a capacity reduction confirmation page according to the equipment information of the target transformer, the capacity-increasing working condition triggering request of the capacity-increasing working condition and the power supply range of the output end of the target transformer;
After the input confirmation instruction is obtained from the capacity reduction confirmation page, the transformer working condition management platform sends capacity reduction working condition confirmation information to the target transformer so as to control the target transformer to switch to the capacity reduction working condition.
5. The method for controlling risk of capacity-increasing operation of a transformer according to claim 4, further comprising, before the transformer condition management platform sends capacity-decreasing condition confirmation information to the target transformer:
using equation 3 and according to the running risk score The preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThe capacity reduction condition confirmation information comprises the second working capacity/>The formula 3 is:
wherein, Is the rated capacity of the target transformer.
6. The method of claim 5, wherein, in said step of scoring said operational risk, said operational risk is increasedThe preset running risk scoring threshold/>First working capacity/>, of the target transformer under the capacity-increasing working conditionDetermining a second working capacity/>, of the target transformer under the capacity-reducing working conditionThereafter, the method further comprises:
determining a power supply priority according to the power supply range of the output end of the target transformer, and determining a standby transformer according to the power supply range of the output end by the target transformer if the power supply priority is greater than a preset priority;
The standby transformer and the target transformer are controlled to jointly supply power for the power supply range of the output end, and the third working capacity corresponding to the standby transformer 。
7. A transformer capacity-increasing operation risk control device, comprising:
the acquisition module is used for acquiring an infrared temperature measurement image of the target transformer when the target transformer operates under a capacity-increasing working condition, wherein the infrared temperature measurement image comprises infrared temperature measurement data of a winding part of the target transformer;
The acquisition module is further configured to acquire an output end line temperature of the target transformer, where the output end line temperature is a measured temperature of a line of the target transformer on one side of an output voltage;
The processing module is used for determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model;
the control module is used for controlling the target transformer to switch to a capacity-reducing working condition when the operation risk level is higher than a preset operation safety level;
the determining the running risk level of the current capacity-increasing working condition of the target transformer according to the infrared temperature measurement image, the output end line temperature and a preset running risk assessment model comprises the following steps:
determining the highest temperature of windings in the infrared temperature measurement data according to the infrared temperature measurement image ；
Using equation 1 and according to the maximum temperature of the windingThe output end line temperature/>Determining a running risk score/>The formula 1 is:
wherein, For the first characteristic parameter,/>，/>For the second characteristic parameter,/>，For the first weight value,/>Is the second weight value,/>Maximum temperature for safe operation of winding,/>The highest safe working temperature of the output end line is obtained;
if the running risk scores And if the operation risk grade is larger than a preset operation risk grade threshold, determining that the operation risk grade is higher than the preset operation safety grade.
8. An electronic device, comprising:
A processor; and
A memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any one of claims 1 to 6 via execution of the executable instructions.
9. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1 to 6.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105678439A (en) * | 2015-12-02 | 2016-06-15 | 国网山西省电力公司电力科学研究院 | Power transmission line dynamic capacity-increasing operation risk assessment method based on BP neural network |
| WO2018186537A1 (en) * | 2017-04-04 | 2018-10-11 | 한국전력공사 | Power transformer asset management device and method therefor |
| WO2023035494A1 (en) * | 2021-09-10 | 2023-03-16 | 广东电网有限责任公司电力科学研究院 | Three-dimensional power transmission corridor wildfire monitoring and control method and system |
| CN115900819A (en) * | 2022-11-03 | 2023-04-04 | 国网湖北省电力有限公司超高压公司 | Method for monitoring motion trail and evaluating risk of power transmission line under special working condition |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678439A (en) * | 2015-12-02 | 2016-06-15 | 国网山西省电力公司电力科学研究院 | Power transmission line dynamic capacity-increasing operation risk assessment method based on BP neural network |
| WO2018186537A1 (en) * | 2017-04-04 | 2018-10-11 | 한국전력공사 | Power transformer asset management device and method therefor |
| WO2023035494A1 (en) * | 2021-09-10 | 2023-03-16 | 广东电网有限责任公司电力科学研究院 | Three-dimensional power transmission corridor wildfire monitoring and control method and system |
| CN115900819A (en) * | 2022-11-03 | 2023-04-04 | 国网湖北省电力有限公司超高压公司 | Method for monitoring motion trail and evaluating risk of power transmission line under special working condition |
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