A transformer cooling control system and method

Abstract

The application relates to the technical field of transformer cooling control, and discloses a transformer cooling control system and method, which comprises the following modules: a temperature acquisition module, which sets multiple temperature monitoring points on a transformer to be controlled in terms of cooling, and acquires multiple temperature monitoring data of the transformer to be controlled in terms of cooling; a temperature division module, which analyzes all the temperature monitoring data, and divides the temperature monitoring points into main temperature monitoring points and auxiliary temperature monitoring points; a main temperature acquisition module, which pre-sets a temperature acquisition time period, and acquires main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period; and a cooling control module, which calculates a temperature distribution difference coefficient of the transformer to be controlled in terms of cooling according to all the main temperature monitoring data, and sets a cooling control strategy of the transformer to be controlled in terms of cooling according to the temperature distribution difference coefficient, so that the temperature distribution difference and the temperature time sequence change can be quantified, the precision and efficiency of the transformer cooling control are ensured, and the operation safety and economy of the transformer are improved.

Description

Technical Field

[0001] This invention relates to the field of transformer cooling control technology, and more specifically, to a transformer cooling control system and method. Background Technology

[0002] With the continuous expansion of the power grid and the increasing power load, transformers, as core equipment for power transmission and distribution, directly affect the safety and stability of the entire power grid through their operational reliability. During operation, transformers generate significant heat due to core losses, copper losses, additional losses, and leakage flux, causing the internal insulating oil, windings, and core temperatures to rise. If the temperature rise exceeds the heat resistance rating of the insulation material, it will accelerate insulation aging, shorten transformer lifespan, and even lead to serious faults such as inter-turn short circuits and insulation breakdown. Therefore, implementing scientific, precise, and efficient cooling control for transformers has become a crucial step in improving equipment operational reliability, extending service life, and reducing total life-cycle costs.

[0003] Traditional cooling control systems are based on single-point temperature threshold control. A small number of temperature sensors are placed on the surface of the transformer tank or windings. When the temperature of one sensor exceeds a set threshold, the cooling device is activated. This cooling control system can only reflect local temperature information, making it difficult to accurately depict the three-dimensional temperature field distribution inside the transformer. It is prone to "overcooling" or "undercooling," has high energy consumption and limited control accuracy, and cannot consider the impact of temporal changes on temperature variation analysis, resulting in significant limitations in cooling control. Summary of the Invention

[0004] This invention provides a transformer cooling control system and method. This invention can quantify temperature distribution differences and temperature time sequence changes, ensuring the accuracy and efficiency of transformer cooling control, and improving the safety and economy of transformer operation.

[0005] To achieve the above objectives, the present invention provides a transformer cooling control system, comprising:

[0006] A temperature acquisition module is used to determine the transformer to be cooled, set multiple temperature monitoring points on the transformer to be cooled, and acquire multiple temperature monitoring data of the transformer based on the temperature monitoring points.

[0007] The temperature segmentation module is used to analyze all temperature monitoring data and, based on the analysis results, divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points.

[0008] The main temperature acquisition module is used to pre-set a temperature acquisition time period and acquire the main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period.

[0009] The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on all the main temperature monitoring data, and to set the cooling control strategy of the transformer to be cooled based on the temperature distribution difference coefficient.

[0010] Furthermore, it also includes:

[0011] The temperature data processing module is used to traverse and process the temperature monitoring data corresponding to each temperature monitoring point. The processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

[0012] Furthermore, the temperature division module is used for:

[0013] The temperature division module is used to randomly extract a temperature monitoring data as a standard temperature monitoring data, and determine multiple adjacent temperature monitoring data with the standard temperature monitoring data.

[0014] The temperature division module is used to calculate the temperature monitoring difference of the standard temperature monitoring data based on the standard temperature monitoring data and adjacent temperature monitoring data.

[0015] The temperature division module is used to divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points according to the temperature monitoring difference corresponding to each temperature monitoring data.

[0016] Furthermore, the temperature division module is used for:

[0017] The temperature division module is used to calculate the temperature monitoring data and values ​​of the standard temperature monitoring data and multiple adjacent temperature monitoring data;

[0018] The temperature division module is used to determine the maximum and minimum temperature monitoring data from the temperature monitoring data corresponding to all temperature monitoring points.

[0019] The temperature division module is used to determine the extreme temperature monitoring data and values ​​of the maximum and minimum temperature monitoring data;

[0020] The temperature division module is used to determine the ratio of the extreme temperature monitoring data and the temperature monitoring data and the temperature monitoring data and the temperature monitoring data, which is used as the temperature monitoring difference of the standard temperature monitoring data.

[0021] Furthermore, the temperature division module is used for:

[0022] The temperature segmentation module is used to treat each temperature monitoring difference as a distance and to divide all temperature monitoring points into three temperature clusters according to a preset clustering algorithm.

[0023] The temperature division module is used to obtain the average temperature monitoring difference for each temperature cluster, determine the maximum average temperature monitoring difference, and take the temperature monitoring point in the corresponding temperature cluster as the main temperature monitoring point.

[0024] The temperature division module is used to use the remaining temperature monitoring points as auxiliary temperature monitoring points.

[0025] Furthermore, the cooling control module is used for:

[0026] The cooling control module is used to construct a main temperature monitoring data set based on the main temperature monitoring data corresponding to each main temperature monitoring point.

[0027] The cooling control module is used to determine the temperature monitoring data variance corresponding to each main temperature monitoring data set, and to perform curve fitting on all the temperature monitoring data variances to obtain the temperature monitoring data variance curve.

[0028] The cooling control module is used to determine the mean of the absolute values ​​of all slopes on the variance curve of the temperature monitoring data, as an indicator of temperature fluctuation.

[0029] The cooling control module is used to sort all the main temperature monitoring data in ascending order and combine every two main temperature monitoring data sets in pairs to obtain multiple main temperature monitoring data groups.

[0030] The cooling control module is used to calculate the group temperature difference between two main temperature monitoring data in each main temperature monitoring data group, wherein the group temperature difference is the absolute value of the difference between the two main temperature monitoring data.

[0031] The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on the temperature fluctuation index and the group temperature difference.

[0032] Furthermore, the cooling control module is used for:

[0033] The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled according to the following formula:

[0034] ;

[0035] Where s is the temperature distribution difference coefficient of the transformer to be cooled, f1 is the temperature fluctuation index, g1 is the first calculation weight, g2 is the second calculation weight, g1+g2=1, and g1>g2, h min h is the smallest temperature difference other than 0. max This represents the maximum group temperature difference.

[0036] Furthermore, the cooling control module is used for:

[0037] The cooling control module is used to obtain the current cooling strategy of the current cooling device of the transformer to be cooled;

[0038] The cooling control module is used to pre-set multiple preset temperature distribution difference coefficients;

[0039] The cooling control module is used to pre-set multiple preset strategy adjustment factors;

[0040] The cooling control module is used to select a corresponding preset strategy adjustment factor based on the relationship between the temperature distribution difference coefficient and multiple preset temperature distribution difference coefficients, and adjust the current cooling strategy to obtain the cooling control strategy for the transformer to be cooled, wherein the temperature distribution difference coefficient and the preset strategy adjustment factor are directly proportional.

[0041] To achieve the above objectives, the present invention also provides a transformer cooling control method, comprising:

[0042] A transformer to be cooled is identified, multiple temperature monitoring points are set on the transformer to be cooled, and multiple temperature monitoring data of the transformer to be cooled are obtained based on the temperature monitoring points.

[0043] All temperature monitoring data are analyzed, and based on the analysis results, the temperature monitoring points are divided into primary temperature monitoring points and secondary temperature monitoring points.

[0044] A temperature acquisition time period is preset, and the main temperature monitoring data corresponding to each main temperature monitoring point is collected based on the temperature acquisition time period.

[0045] The temperature distribution difference coefficient of the transformer to be cooled is calculated based on all the main temperature monitoring data, and the cooling control strategy of the transformer to be cooled is set based on the temperature distribution difference coefficient.

[0046] Furthermore, before analyzing all temperature monitoring data and dividing the temperature monitoring points into primary and secondary temperature monitoring points based on the analysis results, the process also includes:

[0047] The temperature monitoring data corresponding to each temperature monitoring point is traversed and processed, wherein the processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0049] This invention discloses a transformer cooling control system and method. The system includes: a temperature acquisition module that sets multiple temperature monitoring points on the transformer to be cooled and acquires multiple temperature monitoring data of the transformer; a temperature division module that analyzes all temperature monitoring data and divides the temperature monitoring points into main temperature monitoring points and auxiliary temperature monitoring points; a main temperature acquisition module that pre-sets a temperature acquisition time period and acquires the main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period; and a cooling control module that calculates the temperature distribution difference coefficient of the transformer to be cooled based on all the main temperature monitoring data and sets a cooling control strategy for the transformer to be cooled based on the temperature distribution difference coefficient. This system can quantify the temperature distribution difference and temperature time sequence changes, ensure the accuracy and efficiency of transformer cooling control, and improve the safety and economy of transformer operation. Attached Figure Description

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0051] Figure 1 A schematic diagram of a transformer cooling control system according to an embodiment of the present invention is shown;

[0052] Figure 2 A flowchart illustrating a transformer cooling control method according to an embodiment of the present invention is shown. Detailed Implementation

[0053] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0054] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0055] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0056] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0057] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0058] like Figure 1 As shown, an embodiment of the present invention discloses a transformer cooling control system, including: a temperature acquisition module, a temperature division module, a main temperature acquisition module, and a cooling control module.

[0059] In some embodiments of this application, the temperature acquisition module is used to determine the transformer to be cooled, set multiple temperature monitoring points on the transformer to be cooled, and acquire multiple temperature monitoring data of the transformer to be cooled based on the temperature monitoring points.

[0060] In this embodiment, there are 10 temperature monitoring points, which are evenly distributed on the key components of the transformer to be cooled.

[0061] In this embodiment, temperature monitoring data can be obtained based on a temperature sensor, or it can be obtained based on other temperature acquisition instruments; no specific limitation is made here.

[0062] In some embodiments of this application, the temperature division module is used to analyze all temperature monitoring data and divide the temperature monitoring points into main temperature monitoring points and auxiliary temperature monitoring points based on the analysis results.

[0063] In some embodiments of this application, it also includes:

[0064] The temperature data processing module is used to traverse and process the temperature monitoring data corresponding to each temperature monitoring point. The processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

[0065] The beneficial effects of the above technical solution are: the present invention effectively avoids the interference of abnormal data on subsequent clustering, differential quantification and strategy formulation, so that cooling decisions are based on real and reliable data.

[0066] In some embodiments of this application, the temperature division module is used for:

[0067] The temperature division module is used to randomly extract a temperature monitoring data as a standard temperature monitoring data, and determine multiple adjacent temperature monitoring data with the standard temperature monitoring data.

[0068] The temperature division module is used to calculate the temperature monitoring difference of the standard temperature monitoring data based on the standard temperature monitoring data and adjacent temperature monitoring data.

[0069] The temperature division module is used to divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points according to the temperature monitoring difference corresponding to each temperature monitoring data.

[0070] In this embodiment, determining multiple adjacent temperature monitoring data points to the standard temperature monitoring data includes:

[0071] 1. Establish a local 3D coordinate system, with the temperature monitoring point corresponding to the standard temperature monitoring data as the origin, and determine the coordinates (x, y, z) of the remaining temperature monitoring points.

[0072] 2. Set the threshold d, for example, 0.3m or 0.5m, depending on the actual situation.

[0073] 3. Determine the distance between the temperature monitoring point corresponding to the standard temperature monitoring data and the remaining temperature monitoring points based on the coordinates. When the distance is less than the threshold d, it is determined to be adjacent temperature monitoring data.

[0074] In some embodiments of this application, the temperature division module is used for:

[0075] The temperature division module is used to calculate the temperature monitoring data and values ​​of the standard temperature monitoring data and multiple adjacent temperature monitoring data;

[0076] The temperature division module is used to determine the maximum and minimum temperature monitoring data from the temperature monitoring data corresponding to all temperature monitoring points.

[0077] The temperature division module is used to determine the extreme temperature monitoring data and values ​​of the maximum and minimum temperature monitoring data;

[0078] The temperature division module is used to determine the ratio of the extreme temperature monitoring data and the temperature monitoring data and the temperature monitoring data and the temperature monitoring data, which is used as the temperature monitoring difference of the standard temperature monitoring data.

[0079] The beneficial effects of the above technical solution are: the present invention determines the ratio of the extreme temperature monitoring data sum value to the temperature monitoring data sum value as the temperature monitoring difference quantity of the standard temperature monitoring data. The temperature monitoring difference quantity can characterize the dispersion of the standard temperature monitoring data and all temperature monitoring data, and thus serve as the basis for the division of the standard temperature monitoring data and all temperature monitoring data into primary and secondary temperature monitoring points.

[0080] In some embodiments of this application, the temperature division module is used for:

[0081] The temperature segmentation module is used to treat each temperature monitoring difference as a distance and to divide all temperature monitoring points into three temperature clusters according to a preset clustering algorithm.

[0082] The temperature division module is used to obtain the average temperature monitoring difference for each temperature cluster, determine the maximum average temperature monitoring difference, and take the temperature monitoring point in the corresponding temperature cluster as the main temperature monitoring point.

[0083] The temperature division module is used to use the remaining temperature monitoring points as auxiliary temperature monitoring points.

[0084] In this embodiment, the preset clustering algorithm is the k-means clustering algorithm.

[0085] In this embodiment, if the number of average maximum temperature monitoring differences is not unique, a temperature cluster corresponding to the average maximum temperature monitoring difference is randomly selected as the main temperature monitoring point.

[0086] The beneficial effects of the above technical solution are: the present invention obtains the average temperature monitoring difference corresponding to each temperature cluster, determines the average maximum temperature monitoring difference, and uses the temperature monitoring point in the corresponding temperature cluster as the main temperature monitoring point, which can reduce the amount of temperature data processing, and the temperature monitoring data corresponding to the main temperature monitoring point is highly representative, further ensuring the accuracy of transformer cooling control.

[0087] In some embodiments of this application, the main temperature acquisition module is used to pre-set a temperature acquisition time period and acquire main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period.

[0088] In this embodiment, the temperature acquisition time period is preset and is set after the main temperature monitoring point and the auxiliary temperature monitoring point are divided. For example, it is set to [second 1, second 60]. The temperature acquisition time period includes multiple acquisition time segments, such as second 1, second 5, second 10, second 15, second 20, second 25, second 30, second 35, second 40, second 45, second 50, second 55, and second 60.

[0089] In this embodiment, each main temperature monitoring point can collect one main temperature monitoring data every 1 second, so each main temperature monitoring point can collect 13 main temperature monitoring data.

[0090] In some embodiments of this application, the cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on all the main temperature monitoring data, and to set the cooling control strategy of the transformer to be cooled based on the temperature distribution difference coefficient.

[0091] In some embodiments of this application, the cooling control module is used for:

[0092] The cooling control module is used to construct a main temperature monitoring data set based on the main temperature monitoring data corresponding to each main temperature monitoring point.

[0093] The cooling control module is used to determine the temperature monitoring data variance corresponding to each main temperature monitoring data set, and to perform curve fitting on all the temperature monitoring data variances to obtain the temperature monitoring data variance curve.

[0094] The cooling control module is used to determine the mean of the absolute values ​​of all slopes on the variance curve of the temperature monitoring data, as an indicator of temperature fluctuation.

[0095] The cooling control module is used to sort all the main temperature monitoring data in ascending order and combine every two main temperature monitoring data sets in pairs to obtain multiple main temperature monitoring data groups.

[0096] The cooling control module is used to calculate the group temperature difference between two main temperature monitoring data in each main temperature monitoring data group, wherein the group temperature difference is the absolute value of the difference between the two main temperature monitoring data.

[0097] The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on the temperature fluctuation index and the group temperature difference.

[0098] In this embodiment, the curve fitting method will not be described again.

[0099] In this embodiment, every two main temperature monitoring data are combined in pairs to obtain multiple main temperature monitoring data groups. This process is done in the order of sorting and the combination process is not repeated. For example, 25℃, 28℃, 28℃, 29℃ will result in two main temperature monitoring data groups, namely (25℃, 28℃) and (28℃, 29℃).

[0100] The beneficial effects of the above technical solution are as follows: This invention calculates the temperature distribution difference coefficient of the transformer to be cooled based on the temperature fluctuation index and group temperature difference. The temperature fluctuation index can reflect the overall temperature distribution fluctuation, and the group temperature difference can reflect the discrete distribution of adjacent temperatures, thereby obtaining the overall temperature distribution of the transformer to be cooled, that is, the temperature distribution difference coefficient. Moreover, the determination of the temperature distribution difference coefficient takes into account the time sequence change and temperature change, laying the foundation for the cooling control of the transformer to be cooled, providing reliable cooling data support, and further ensuring the accuracy and comprehensiveness of the cooling control of the transformer to be cooled.

[0101] In some embodiments of this application, the cooling control module is used for:

[0102] The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled according to the following formula:

[0103] ;

[0104] Where s is the temperature distribution difference coefficient of the transformer to be cooled, f1 is the temperature fluctuation index, g1 is the first calculation weight, g2 is the second calculation weight, g1+g2=1, and g1>g2, h min h is the smallest temperature difference other than 0. max This represents the maximum group temperature difference.

[0105] In this embodiment, the calculated weights are obtained based on subjective weighting and objective weighting methods, and g1 is preferably 0.65 and g2 is preferably 0.35.

[0106] In some embodiments of this application, the cooling control module is used for:

[0107] The cooling control module is used to obtain the current cooling strategy of the current cooling device of the transformer to be cooled;

[0108] The cooling control module is used to pre-set multiple preset temperature distribution difference coefficients;

[0109] The cooling control module is used to pre-set multiple preset strategy adjustment factors;

[0110] The cooling control module is used to select a corresponding preset strategy adjustment factor based on the relationship between the temperature distribution difference coefficient and multiple preset temperature distribution difference coefficients, and adjust the current cooling strategy to obtain the cooling control strategy for the transformer to be cooled, wherein the temperature distribution difference coefficient and the preset strategy adjustment factor are directly proportional.

[0111] In this embodiment, the current cooling device is a cooling fan.

[0112] In this embodiment, the current cooling strategy is the operating power of the cooling fan.

[0113] In this embodiment, the number of preset temperature distribution difference coefficients is preferably 3, including a first preset temperature distribution difference coefficient, preferably 1, a second preset temperature distribution difference coefficient, preferably 3, and a third preset temperature distribution difference coefficient, preferably 5. The specific values ​​can be adjusted according to actual conditions.

[0114] In this embodiment, the number of preset strategy adjustment factors is preferably 3, including a first preset strategy adjustment factor, preferably 1.15, a second preset strategy adjustment factor, preferably 1.25, and a third preset strategy adjustment factor, preferably 1.35. The specific values ​​can be adjusted adaptively according to the actual situation.

[0115] In this embodiment, when the temperature distribution difference coefficient is less than the first preset temperature distribution difference coefficient, the operating power of the cooling fan is not adjusted; when the temperature distribution difference coefficient is greater than or equal to the first preset temperature distribution difference coefficient and less than the second preset temperature distribution difference coefficient, the product of the first preset strategy adjustment factor and the operating power of the cooling fan is calculated to obtain a new operating power, which is used as the cooling control strategy for the transformer to be cooled; when the temperature distribution difference coefficient is greater than or equal to the second preset temperature distribution difference coefficient and less than the third preset temperature distribution difference coefficient, the product of the second preset strategy adjustment factor and the operating power of the cooling fan is calculated to obtain a new operating power, which is used as the cooling control strategy for the transformer to be cooled; when the temperature distribution difference coefficient is greater than or equal to the third preset temperature distribution difference coefficient, the product of the third preset strategy adjustment factor and the operating power of the cooling fan is calculated to obtain a new operating power, which is used as the cooling control strategy for the transformer to be cooled.

[0116] The beneficial effects of the above technical solution are as follows: Based on the relationship between the temperature distribution difference coefficient and multiple preset temperature distribution difference coefficients, the present invention selects the corresponding preset strategy adjustment factor to adjust the current cooling strategy and obtain the cooling control strategy of the transformer to be cooled, ensuring the accuracy and pertinence of cooling control. Considering the influence of time sequence changes on temperature change analysis, it effectively avoids "overcooling" or "undercooling" and reduces energy consumption.

[0117] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0118] Correspondingly, such as Figure 2 As shown, this application also provides a transformer cooling control method, including:

[0119] S110: Determine the transformer to be cooled, set multiple temperature monitoring points on the transformer to be cooled, and obtain multiple temperature monitoring data of the transformer to be cooled based on the temperature monitoring points.

[0120] S120: Analyze all temperature monitoring data and, based on the analysis results, divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points;

[0121] S130: Pre-set a temperature acquisition time period, and acquire the main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period;

[0122] S140: Calculate the temperature distribution difference coefficient of the transformer to be cooled based on all the main temperature monitoring data, and set the cooling control strategy of the transformer to be cooled based on the temperature distribution difference coefficient.

[0123] In some embodiments of this application, before analyzing all temperature monitoring data and dividing the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points based on the analysis results, the method further includes:

[0124] The temperature monitoring data corresponding to each temperature monitoring point is traversed and processed, wherein the processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

[0125] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0126] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0127] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A transformer cooling control system, characterized in that, include: A temperature acquisition module is used to determine the transformer to be cooled, set multiple temperature monitoring points on the transformer to be cooled, and acquire multiple temperature monitoring data of the transformer based on the temperature monitoring points. The temperature segmentation module is used to analyze all temperature monitoring data and, based on the analysis results, divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points. The main temperature acquisition module is used to pre-set a temperature acquisition time period and acquire the main temperature monitoring data corresponding to each main temperature monitoring point based on the temperature acquisition time period. The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on all the main temperature monitoring data, and to set the cooling control strategy of the transformer to be cooled based on the temperature distribution difference coefficient. The cooling control module is used to construct a main temperature monitoring data set based on the main temperature monitoring data corresponding to each main temperature monitoring point. The cooling control module is used to determine the temperature monitoring data variance corresponding to each main temperature monitoring data set, and to perform curve fitting on all the temperature monitoring data variances to obtain the temperature monitoring data variance curve. The cooling control module is used to determine the mean of the absolute values ​​of all slopes on the variance curve of the temperature monitoring data, as an indicator of temperature fluctuation. The cooling control module is used to sort all the main temperature monitoring data in ascending order and combine every two main temperature monitoring data sets in pairs to obtain multiple main temperature monitoring data groups. The cooling control module is used to calculate the group temperature difference between two main temperature monitoring data in each main temperature monitoring data group, wherein the group temperature difference is the absolute value of the difference between the two main temperature monitoring data. The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled based on the temperature fluctuation index and the group temperature difference. The cooling control module is used to calculate the temperature distribution difference coefficient of the transformer to be cooled according to the following formula: ； Where s is the temperature distribution difference coefficient of the transformer to be cooled, f1 is the temperature fluctuation index, g1 is the first calculation weight, g2 is the second calculation weight, g1+g2=1, and g1>g2, h min h is the smallest temperature difference other than 0. max This represents the maximum group temperature difference.

2. The transformer cooling control system according to claim 1, characterized in that, Also includes: The temperature data processing module is used to traverse and process the temperature monitoring data corresponding to each temperature monitoring point. The processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

3. The transformer cooling control system according to claim 1, characterized in that, The temperature division module is used for: The temperature division module is used to randomly extract a temperature monitoring data as a standard temperature monitoring data, and determine multiple adjacent temperature monitoring data with the standard temperature monitoring data. The temperature division module is used to calculate the temperature monitoring difference of the standard temperature monitoring data based on the standard temperature monitoring data and adjacent temperature monitoring data. The temperature division module is used to divide the temperature monitoring points into primary temperature monitoring points and secondary temperature monitoring points according to the temperature monitoring difference corresponding to each temperature monitoring data.

4. The transformer cooling control system according to claim 3, characterized in that, The temperature division module is used for: The temperature division module is used to calculate the temperature monitoring data and values ​​of the standard temperature monitoring data and multiple adjacent temperature monitoring data; The temperature division module is used to determine the maximum and minimum temperature monitoring data from the temperature monitoring data corresponding to all temperature monitoring points. The temperature division module is used to determine the extreme temperature monitoring data and values ​​of the maximum and minimum temperature monitoring data; The temperature division module is used to determine the ratio of the extreme temperature monitoring data and the temperature monitoring data and the temperature monitoring data and the temperature monitoring data, which is used as the temperature monitoring difference of the standard temperature monitoring data.

5. The transformer cooling control system according to claim 3, characterized in that, The temperature division module is used for: The temperature segmentation module is used to treat each temperature monitoring difference as a distance and to divide all temperature monitoring points into three temperature clusters according to a preset clustering algorithm. The temperature division module is used to obtain the average temperature monitoring difference for each temperature cluster, determine the maximum average temperature monitoring difference, and take the temperature monitoring point in the corresponding temperature cluster as the main temperature monitoring point. The temperature division module is used to use the remaining temperature monitoring points as auxiliary temperature monitoring points.

6. The transformer cooling control system according to claim 1, characterized in that, The cooling control module is used for: The cooling control module is used to obtain the current cooling strategy of the current cooling device of the transformer to be cooled; The cooling control module is used to pre-set multiple preset temperature distribution difference coefficients; The cooling control module is used to pre-set multiple preset strategy adjustment factors; The cooling control module is used to select a corresponding preset strategy adjustment factor based on the relationship between the temperature distribution difference coefficient and multiple preset temperature distribution difference coefficients, and adjust the current cooling strategy to obtain the cooling control strategy for the transformer to be cooled, wherein the temperature distribution difference coefficient and the preset strategy adjustment factor are directly proportional.

7. A transformer cooling control method, applied to the transformer cooling control system as described in any one of claims 1-6, characterized in that, include: A transformer to be cooled is identified, multiple temperature monitoring points are set on the transformer to be cooled, and multiple temperature monitoring data of the transformer to be cooled are obtained based on the temperature monitoring points. All temperature monitoring data are analyzed, and based on the analysis results, the temperature monitoring points are divided into primary temperature monitoring points and secondary temperature monitoring points. A temperature acquisition time period is preset, and the main temperature monitoring data corresponding to each main temperature monitoring point is collected based on the temperature acquisition time period. The temperature distribution difference coefficient of the transformer to be cooled is calculated based on all the main temperature monitoring data, and the cooling control strategy of the transformer to be cooled is set based on the temperature distribution difference coefficient.

8. The transformer cooling control method according to claim 7, characterized in that, Before analyzing all temperature monitoring data and dividing the temperature monitoring points into primary and secondary temperature monitoring points based on the analysis results, the following steps are also included: The temperature monitoring data corresponding to each temperature monitoring point is traversed and processed, wherein the processing includes deleting duplicate temperature monitoring data, deleting erroneous temperature monitoring data, and deleting invalid temperature monitoring data.

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