AC power grid safety monitoring method and device based on transformer

Abstract

The present invention discloses a transformer-based AC power grid safety monitoring method and device, which relates to the field of power system monitoring and control technology. The method includes: configuring an AC power grid equivalent circuit topology, which contains a current and voltage label set and a distribution position set that change with the power grid, constructing a current and voltage monitoring matrix based on this, loading an initial transformer temperature monitoring matrix and ambient temperature information for predicting and generating a transformer temperature prediction matrix, obtaining a second transformer temperature monitoring matrix through a temperature sensor array, and generating a safety warning signal when the two are inconsistent. The method solves the technical problem that the reliability of the existing power grid safety analysis through the transformer status is insufficient due to the subjective determination of the threshold value, and it is difficult to accurately and comprehensively monitor and effectively warn of potential safety hazards in the power grid, and realizes accurate and reliable evaluation of the power grid safety and timely and effective warning, achieving a technical effect of effectively ensuring the stable operation of the power grid and the optimal allocation of resources.

Description

Technical Field

[0001] The present application relates to the technical field of power system monitoring and control, and in particular to a transformer-based AC power grid security monitoring method and device. Background Art

[0002] In the AC power grid operation scenario, the issue of ensuring the safety of the power grid through the status of the transformer is particularly critical, and the demand for accurate and efficient monitoring methods is more urgent. Scientifically allocating monitoring resources and accurately analyzing safety conditions have become important links in ensuring the safety of the AC power grid. Traditional transformer-based power grid safety monitoring is often relatively simple and partial, relying only on subjectively determined threshold values ​​or limited monitoring methods. It does not have sufficient control over the overall operating status of the power grid and transformer, lacks comprehensive analysis and utilization of real-time data, and is difficult to comprehensively and accurately assess the safety risk status of the power grid. There are unreasonable situations in monitoring and analysis, resulting in some potential hidden dangers that cannot be discovered in time, while some insignificant factors are overly concerned. The formulation of monitoring plans is relatively simple and fixed, and cannot effectively respond to the complex and changeable actual operation of the power grid.

[0003] In the current relevant technologies, there is a technical problem that when analyzing the safety of the power grid through the status of the transformer, the threshold value is determined subjectively, resulting in insufficient reliability, making it difficult to accurately and comprehensively monitor and effectively warn of potential safety hazards in the power grid. Summary of the invention

[0004] The present application provides a transformer-based AC power grid safety monitoring method and device, adopts an AC power grid equivalent circuit topology configuration, which contains a current and voltage label set and a distribution position set that change with the power grid, and constructs a current and voltage monitoring matrix (with a duration mark) based on this, loads an initial transformer temperature monitoring matrix and ambient temperature information, and is used to predict and generate a transformer temperature prediction matrix. A second transformer temperature monitoring matrix is ​​obtained through a temperature sensor array, and a safety warning signal is generated if the two are inconsistent. By constructing a comprehensive and objective monitoring system and a scientific analysis model, instead of the subjective determination of threshold values, accurate and reliable evaluation of power grid safety and timely and effective warning are achieved, achieving a technical effect of effectively ensuring the stable operation of the power grid and the optimal allocation of resources.

[0005] The present application provides a transformer-based AC power grid security monitoring method, comprising:

[0006] Configure an equivalent circuit topology of the AC power grid in the substation area, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology; construct a current monitoring matrix based on the first distribution position set and the current label set; construct a voltage monitoring matrix based on the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier; load a first transformer temperature monitoring matrix at the initial moment of the first duration identifier; load ambient temperature information; predict the transformer temperature based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier to generate a transformer temperature prediction matrix; obtain a second transformer temperature monitoring matrix through a temperature sensor array; when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, generate a safety warning signal.

[0007] The present application also provides an AC power grid safety monitoring device based on a transformer, comprising:

[0008] An AC power grid configuration module, the AC power grid configuration module is used to configure the equivalent circuit topology of the AC power grid in the substation, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology; a current monitoring matrix construction module, the current monitoring matrix construction module is used to construct a current monitoring matrix according to the first distribution position set and the current label set; a voltage monitoring matrix construction module, the voltage monitoring matrix construction module is used to construct a voltage monitoring matrix according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier; a first transformer temperature monitoring matrix loading module, the first transformer temperature monitoring matrix loading module A loading module is used to load the first transformer temperature monitoring matrix at the initial moment of the first duration identifier; an ambient temperature information loading module, the ambient temperature information loading module is used to load ambient temperature information; a transformer temperature prediction matrix generation module, the transformer temperature prediction matrix generation module is used to predict the transformer temperature based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier, and generate a transformer temperature prediction matrix; a second transformer temperature monitoring matrix acquisition module, the second transformer temperature monitoring matrix acquisition module is used to obtain a second transformer temperature monitoring matrix through a temperature sensor array; a safety warning signal generation module, the safety warning signal generation module is used to generate a safety warning signal when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent.

[0009] The transformer-based AC power grid safety monitoring method and device proposed in this application first configures the AC power grid equivalent circuit topology, which contains a set of current and voltage labels and a set of distribution positions that change with the power grid. Based on this, a current and voltage monitoring matrix (with a duration mark) is constructed, and the initial transformer temperature monitoring matrix and ambient temperature information are loaded to predict and generate a transformer temperature prediction matrix. A second transformer temperature monitoring matrix is ​​obtained through a temperature sensor array. If the two are inconsistent, a safety warning signal is generated. By constructing a comprehensive and objective monitoring system and a scientific analysis model, instead of the subjective method of determining the threshold value, accurate and reliable evaluation of the power grid security and timely and effective warning are achieved, achieving a technical effect of effectively ensuring the stable operation of the power grid and the optimal allocation of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0011] Figure 1 A schematic diagram of a flow chart of a transformer-based AC power grid safety monitoring method provided in an embodiment of the present application;

[0012] Figure 2 A schematic structural diagram of a transformer-based AC power grid safety monitoring device provided in an embodiment of the present application.

[0013] Explanation of the accompanying drawings: AC power grid configuration module 10, current monitoring matrix construction module 20, voltage monitoring matrix construction module 30, first transformer temperature monitoring matrix loading module 40, ambient temperature information loading module 50, transformer temperature prediction matrix generation module 60, second transformer temperature monitoring matrix acquisition module 70, safety warning signal generation module 80. DETAILED DESCRIPTION

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0015] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a transformer-based AC power grid security monitoring method, such as Figure 1 As shown, the method includes:

[0018] Step S100, configure the equivalent circuit topology of the AC power grid in the substation area, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology. Specifically, configuring the equivalent circuit topology of the AC power grid in the substation area is the key step to be completed first in the monitoring of the AC power grid. Clarify the composition and requirements of the AC power grid in the substation area, prepare the elements required for the relevant configuration, and determine the relevant settings in the equivalent circuit topology that change dynamically with the power grid. Among them, the current label set is not arranged randomly, but has a specific first distribution position set in this equivalent circuit topology. This first distribution position set means that each current label is accurately placed in a specific place to accurately reflect the current condition of the location. Similarly, the voltage label set also has a corresponding second distribution position set in this equivalent circuit topology. These voltage labels are also precisely positioned to accurately monitor the voltage conditions at each location.

[0019] Step S200, construct a current monitoring matrix according to the first distribution position set and the current label set. Specifically, construct a current monitoring matrix according to the first distribution position set and the current label set. This is a crucial part in power grid monitoring. Clarify the details of each position in the first distribution position set and the specific current value corresponding to each label in the current label set. Each current value is accurately placed in the preset matrix structure according to its corresponding position. In the meantime, it is necessary to carefully handle the accuracy, unit and other factors of the data, and use appropriate methods to identify and deal with possible abnormal values ​​or missing values. For example, with the help of specific algorithms or data cleaning methods, outliers are removed or corrected, and reasonable interpolation methods are used to fill in missing values. At the same time, the correlation and influence of currents between different positions are deeply considered, and perhaps correlation analysis or mathematical models should be carried out to better grasp and explain the distribution and change laws of currents in the entire power grid. Finally, a monitoring matrix that can accurately reflect the current status of the power grid is formed, providing strong support for subsequent power grid analysis and related operations.

[0020] Step S300, constructing a voltage monitoring matrix according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier. Specifically, the construction of the voltage monitoring matrix is ​​based on the second distribution position set and the voltage label set. First, each position in the second distribution position set is clarified and its detailed conditions are mastered. Then, according to the voltage label set, the voltage value corresponding to each position is accurately extracted. Then, following the established rules and formats, these voltage values ​​are properly placed in the corresponding positions of the preset matrix architecture. This process must ensure the accuracy and consistency of the data. At the same time, it should be noted that the constructed current monitoring matrix and voltage monitoring matrix both carry a first duration identifier, which is used to record the valid period of the monitoring data. With this identifier, the specific time period for the acquisition of the monitored current and voltage data can be clearly defined. For example, assuming that the second distribution position set covers 20 positions and the voltage label set corresponds to 20 voltage values, then these 20 voltage values ​​are filled into a 20×1 or 1×20 matrix in the order of position to form a voltage monitoring matrix, and the first duration identifier is assigned to it. For example, in actual construction, it may be necessary to consider the frequency and time interval of data updates. If the operating status of the power grid changes during a certain period of time, causing the voltage value to change, then the matrix needs to be updated in a timely manner based on the new data, and the first duration mark needs to be adjusted accordingly. Through this rigorous and orderly construction process and the rational use of the first duration mark, the resulting voltage monitoring matrix can provide a key basis for accurately evaluating the operating status of the power grid and potential problems.

[0021] In one possible implementation, a voltage monitoring matrix is ​​constructed based on the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier, and step S300 further includes step S310, wherein when the current monitoring matrix and / or the voltage monitoring matrix are updated, the first duration identifier is reset to zero and the timing is restarted, and the updated transformer temperature monitoring matrix is ​​stored at the same time. Specifically, during the monitoring process, if any of the current monitoring matrix or the voltage monitoring matrix undergoes a data change, it is considered an update. Once such an update occurs, the first duration indicator will be immediately reset to zero, and then the time will be restarted. This can accurately record the time interval after each update, which is helpful for subsequent analysis of the frequency and regularity of data changes. For example, the initial duration indicator may have been counted to 5 hours, but after an update, it will start counting again from 0. At the same time, at the moment of the update, the system will promptly store the current transformer temperature monitoring matrix. Storing the temperature monitoring matrix at the time of the update can provide key data comparison and reference for subsequent comprehensive analysis of the power grid status. Assume that at the moment of the update, the temperature displayed by the transformer temperature monitoring matrix is ​​45 degrees Celsius, then this data is accurately recorded.

[0022] Step S320, when the current monitoring matrix and / or the voltage monitoring matrix are not updated, the first duration mark continues to increase the timing. Specifically, if there is no new data change in the current monitoring matrix and the voltage monitoring matrix, that is, the original data state is maintained, then the first duration mark will continue to increase the timing, indicating that during this period, the current and voltage conditions of the power grid are relatively stable and do not cause the update of the monitoring matrix. For example, the duration mark may gradually increase from 2 hours to 3 hours or 4 hours, so as to intuitively reflect the duration of this stable state. By observing this continuously increasing timing, a preliminary judgment can be made on the stability of the power grid. If the duration is long, it may indicate that the power grid is running relatively smoothly; on the contrary, if the duration is short and updated frequently, it may indicate that there are certain fluctuations or potential problems in the power grid.

[0023] In a possible implementation, when the current monitoring matrix and / or the voltage monitoring matrix is ​​updated, the first duration indicator is reset to zero and the timing is restarted, and the transformer temperature monitoring matrix at the time of the update is stored, and step S310 further includes step S311, obtaining the first monitoring current at the first distribution position. Specifically, in the monitoring system of the power grid, through a special current detection device or sensor, real-time current data is obtained for a specific first distribution position, which is defined as the first monitoring current, which is the starting point of the entire judgment and processing process and provides basic data for subsequent analysis.

[0024] Step S312, extracting the first current fluctuation interval of the first distribution position of the current monitoring matrix. Specifically, from the constructed and stored current monitoring matrix, accurately find the current fluctuation range corresponding to the first distribution position, that is, the first current fluctuation interval, which is determined based on past monitoring data and analysis and setting of the normal current fluctuation at the position.

[0025] Step S313, when the first monitoring current belongs to the first current fluctuation interval, the current monitoring matrix is ​​not updated. Specifically, if the value of the acquired first monitoring current falls within the extracted first current fluctuation interval, this indicates that the current change at the first distribution position is within a normal and predictable range, and there is no need to make any modifications to the current monitoring matrix, and its original data and state are maintained to continue subsequent monitoring.

[0026] Step S314, when the first monitoring current does not belong to the first current fluctuation interval, the monitoring current of the first preset time length is stored starting from the monitoring moment to obtain the second current fluctuation interval. Specifically, once the first monitoring current exceeds the first current fluctuation interval, it means that an abnormal current fluctuation may have occurred. The specific moment when the abnormal current is detected is used as the starting point to continuously store the monitoring current data within the next preset time length (the first preset time length), analyze and process the current data within this period of time, and thus determine a new current fluctuation interval, which is called the second current fluctuation interval.

[0027] Step S315, when the proportion of the non-overlapping interval of the second current fluctuation interval and the first current fluctuation interval is greater than or equal to the interval proportion threshold, the current monitoring matrix is ​​updated according to the second current fluctuation interval. Specifically, the newly obtained second current fluctuation interval is compared and calculated in detail with the original first current fluctuation interval. If the proportion of the non-overlapping interval (i.e., the different parts of the two intervals) in the entire interval reaches or exceeds a preset threshold (e.g., 50%), this strongly indicates that the current fluctuation has undergone significant and continuous changes, accurately reflecting the actual operating status of the power grid. The current monitoring matrix needs to be updated according to the second current fluctuation interval to ensure that subsequent analysis and judgment are based on the latest and most accurate data.

[0028] Step S400, loading the first transformer temperature monitoring matrix at the initial moment identified by the first duration. Specifically, the loading of the first transformer temperature monitoring matrix at the initial moment identified by the first duration means that when the relevant operation is carried out, it is necessary to first obtain and read the first transformer temperature monitoring matrix data recorded at the specific initial time point specified by the first duration identifier. This initial moment provides a clear time starting point for subsequent analysis. During the loading process, the system will accurately find and extract all the information of the first transformer temperature monitoring matrix corresponding to the initial moment in accordance with the predetermined data format and storage path, covering the temperature values ​​of multiple monitoring points, monitoring timestamps and other parameters that may be related to temperature. By completely and accurately loading such data This lays a solid foundation for the subsequent analysis of transformer temperature changes, trend prediction and comprehensive comparison with other relevant data. For example, assuming that the initial time is set to the 10th minute after the system is started, then during loading, the system will accurately obtain and extract all temperature data of the first transformer temperature monitoring matrix recorded in the 10th minute. If the first transformer temperature monitoring matrix contains temperature monitoring values ​​of different parts of the transformer (such as windings, iron cores, etc.), the loading process will ensure that the temperature data of these different parts are extracted without omission for subsequent detailed analysis and processing, providing reliable initial data support for subsequent research and judgment on transformer temperature.

[0029] Step S500, loading the ambient temperature information. Specifically, the loading of the ambient temperature information means that the system obtains the real-time data of the ambient temperature through the temperature sensor or related temperature monitoring facilities connected thereto, and the equipment may be distributed in different locations to comprehensively and accurately reflect the temperature conditions of the environment in which the transformer is located. The system follows the preset data transmission protocol and format to organize and encode the obtained ambient temperature data, ensuring the standardization and consistency of the data, which is conducive to subsequent processing and analysis. The system loads the organized ambient temperature data into the corresponding storage area or database according to the pre-set storage path and access rights. During the loading process, the integrity and accuracy of the data will be initially checked to ensure that the loaded data is not missing or erroneous. The system will also add a timestamp to the loaded ambient temperature data to record the specific time when the data is obtained, which is convenient for subsequent time series analysis and comparison.

[0030] Step S600, based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier, transformer temperature prediction is performed to generate a transformer temperature prediction matrix. Specifically, the specific operation conditions of the transformer to be temperature predicted are selected, the data acquisition equipment necessary for the prediction is prepared, and the parameters related to the prediction, such as data sampling frequency, prediction time segment, temperature accuracy, etc., are set, and the transformer temperature prediction operation is performed to obtain the initial temperature change trend data, which means that at the beginning of the prediction, the transformer temperature changes in the initial direction according to the current situation, and its characteristic is to show the initial temperature change tendency, and the prediction operation is continuously performed to obtain the medium-term temperature fluctuation range data, which indicates that in the middle period of the prediction, the transformer temperature may fluctuate under the influence of multiple factors, and its characteristic is to show the medium-term temperature change amplitude, and finally generate the transformer temperature prediction matrix, which contains the temperature prediction values ​​of different parts or different times of the transformer within the set prediction time range.

[0031] In a possible implementation, transformer temperature prediction is performed based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier to generate a transformer temperature prediction matrix, and step S600 further includes step S610, configuring a transformer temperature index set, wherein the transformer temperature index set includes a winding temperature index, a core temperature index, an oil temperature index, a top layer oil temperature index, a winding hot spot temperature index, a cooler outlet oil temperature index, a transformer casing temperature index, a bushing temperature index, an insulator temperature index, and a bottom oil temperature index. Specifically, a set of transformer temperature indicators is defined and set, covering several key aspects. For example, the winding temperature indicator focuses on the temperature of the transformer winding part, which directly reflects the heating degree and working status of the winding. The core temperature indicator is used to monitor the temperature of the core, because the temperature change of the core has an important impact on the performance and stability of the transformer. The oil temperature indicator is a measure of the overall temperature condition of the oil inside the transformer. The top oil temperature indicator focuses on the temperature change of the oil surface, which is crucial for judging the heat dissipation effect of the oil and the working environment of the top components. The winding hot spot temperature indicator specifically captures the hottest part of the winding, which is the key location where failures may occur. The cooler outlet oil temperature indicator can show the working efficiency of the cooler. The transformer casing temperature indicator reflects the temperature distribution of the casing, which helps to understand the heat dissipation of the casing. The bushing temperature indicator monitors the temperature state of the bushing to ensure its normal operation. The insulator temperature indicator focuses on the temperature of the insulator to ensure its insulation performance. The bottom oil temperature indicator pays special attention to the temperature of the bottom of the oil, which helps to analyze the circulation and heat distribution of the oil.

[0032] Step S620, wherein the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer casing temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index have a one-to-one corresponding transformer temperature predictor set. Specifically, for each of the temperature indicators mentioned above, a dedicated and corresponding set of transformer temperature predictors is equipped. Each indicator has specific prediction tools and methods for analysis and prediction. For example, the winding temperature indicator may have a predictor based on current, resistance and heat transfer models, the core temperature indicator may rely on a predictor based on magnetic field analysis and heat loss calculation, the oil temperature indicator may combine predictors of factors such as oil flow rate and heat exchange coefficient, the top oil temperature indicator predictor may consider more the heat exchange between the oil surface and the air and the influence of ambient temperature, the winding hot spot temperature indicator predictor will use a more complex heat conduction model and hot spot location algorithm, the cooler outlet oil temperature indicator predictor is related to the performance parameters of the cooler and the law of oil temperature change, and the transformer shell temperature indicator predictor will consider factors such as the shell material properties, surface area and ambient wind speed. The bushing temperature indicator predictor is based on the thermal properties of the bushing material and the heat generation when the current passes through. The insulator temperature indicator predictor is related to the material, surface area and electric field distribution of the insulator. The bottom oil temperature indicator predictor may focus on the circulation of the oil and the heat accumulation at the bottom.

[0033] Step S630, according to the transformer temperature predictor set, the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier are analyzed to obtain the transformer temperature prediction matrix. Specifically, in actual operation, according to the transformer temperature predictor set corresponding to each temperature index configured above, a variety of related data are deeply analyzed and processed. First, the current information in the current monitoring matrix is ​​crucial for predicting the temperature change of the winding and the core. If the current increases, the corresponding predictor may determine that the temperature of the winding and the core will rise. The voltage value and fluctuation in the voltage monitoring matrix will also affect the temperature of the transformer. The degree of this influence can be evaluated by the predictor. The ambient temperature information is an external factor that affects the heat dissipation and temperature balance of the transformer. The predictor will take it into consideration to more accurately predict the internal temperature. The first transformer temperature monitoring matrix provides historical temperature data, which is an important basis for predicting future temperature changes. The predictor will perform trend analysis and prediction based on these historical data and current monitoring data. The first duration identifier helps determine the timeliness and periodicity of the data, making the prediction more accurate and in line with the actual situation. By comprehensively using these predictors to perform complex analysis, calculation and simulation on various data, a transformer temperature prediction matrix that can accurately reflect the future temperature change trend of various parts of the transformer is finally generated. For example, if the current continues to rise when analyzing the current monitoring matrix, the corresponding winding temperature predictor may predict that the winding temperature will rise significantly. When the ambient temperature suddenly drops, combined with the ambient temperature information and the corresponding predictor, it may be judged that the rate of increase of the top oil temperature index will slow down. For another example, based on the stable rising trend of the bottom oil temperature in the past period of time shown in the first transformer temperature monitoring matrix, combined with the current data and predictor, it may be predicted that the bottom oil temperature will continue to rise, but the increase may vary. Through such a comprehensive, detailed and data-based analysis process, valuable temperature prediction information can be provided for the safe and stable operation of the transformer, so that preventive measures and maintenance strategies can be taken in time.

[0034] In a possible implementation, the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer casing temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index have a one-to-one corresponding transformer temperature predictor set, and step S620 further includes step S621, taking the equivalent circuit topology as a constraint, collecting a current monitoring matrix record data set, a voltage monitoring matrix record data set, an ambient temperature record data set, a first transformer temperature monitoring matrix record data set, a first duration record data set, and a first transformer temperature index characteristic value record data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set, and the first transformer temperature index characteristic value record data set are in a one-to-one correspondence. Specifically, the equivalent circuit topology is set as a constraint condition. Based on this constraint, a series of important data sets are collected, including a current monitoring matrix recording data set, a voltage monitoring matrix recording data set, an ambient temperature recording data set, a first transformer temperature monitoring matrix recording data set, a first duration recording data set, and a first transformer temperature index characteristic value recording data set. There is a strict one-to-one correspondence between the six data sets. For each specific equivalent circuit topology setting, there are unique and mutually matching current monitoring matrix recording data, voltage monitoring matrix recording data, ambient temperature recording data, first transformer temperature monitoring matrix recording data, first duration recording data, and first transformer temperature index characteristic value recording data.

[0035] Step S622, with the equivalent circuit topology, the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set as constraints, collect the second transformer temperature index characteristic value record data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set and the second transformer temperature index characteristic value record data set are in a one-to-many relationship. Specifically, based on the existing equivalent circuit topology and the previously collected current monitoring matrix recording data set, voltage monitoring matrix recording data set, ambient temperature recording data set, first transformer temperature monitoring matrix recording data set and first duration recording data set, constraints are imposed again, and based on comprehensive constraints, the second transformer temperature index characteristic value recording data set is further collected. The relationship between these five data sets and the second transformer temperature index characteristic value recording data set has changed, presenting a one-to-many relationship. For the same combination of current monitoring matrix recording data, voltage monitoring matrix recording data, ambient temperature recording data, first transformer temperature monitoring matrix recording data and first duration recording data, there may be multiple different second transformer temperature index characteristic value recording data.

[0036] Step S623, the first transformer temperature index characteristic value record data and the second transformer temperature index characteristic value record data belonging to the same current monitoring matrix record data, voltage monitoring matrix record data, ambient temperature record data, first transformer temperature monitoring matrix record data, and first duration record data are subjected to a centralized trend analysis to obtain a third transformer temperature index characteristic value identification data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set and the third transformer temperature index characteristic value identification data set are in a one-to-one correspondence. Specifically, for the first transformer temperature index characteristic value record data and the second transformer temperature index characteristic value record data belonging to the same current monitoring matrix record data, voltage monitoring matrix record data, ambient temperature record data, first transformer temperature monitoring matrix record data and first duration record data, a centralized trend analysis and calculation is performed, and through the analysis process, information that can reflect the centralized trend of these data is obtained, thereby obtaining a third transformer temperature index characteristic value identification data set, and the five data sets and the newly generated third transformer temperature index characteristic value identification data set still maintain a one-to-one correspondence.

[0037] Step S624, according to the third transformer temperature index characteristic value identification data set, supervised training is performed on the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set to generate the transformer temperature predictor set. Specifically, according to the obtained third transformer temperature index characteristic value identification data set, the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set are used as input data to perform supervised training operations. Through the training process, a key set for accurately predicting the transformer temperature, that is, a transformer temperature predictor set, is finally generated. For example, assuming that under a certain equivalent circuit topology condition, a set of current, voltage, and other related record data is collected. Based on these data, multiple second transformer temperature index characteristic value records are collected. Central trend analysis is performed on these data belonging to the same conditions, such as calculating their average values, to obtain the third transformer temperature index characteristic value identification data. Then, these identification data are used to supervise the original record data, so as to continuously optimize and establish the model parameters and structure of the transformer temperature predictor set to improve the accuracy and reliability of the prediction.

[0038] Step S700, obtain a second transformer temperature monitoring matrix through the temperature sensor array. Specifically, the second transformer temperature monitoring matrix is ​​obtained through the temperature sensor array, the specific model of the transformer to be monitored is determined, the equipment required for the temperature sensor array is prepared, and the monitoring-related parameters, such as the measurement accuracy level of the sensor, the measurement temperature range, the data acquisition frequency, etc., are set, the temperature sensor is installed, and the initial temperature sensing data is obtained. Each sensor in the temperature sensor array monitors the temperature in real time at a specific position of the transformer, and converts the temperature situation into an electrical signal. These electrical signals are transmitted to the data collection and processing system according to a pre-set transmission path, such as wired transmission or wireless transmission. After receiving the electrical signals from each sensor, the data collection and processing system decodes and converts them into temperature values ​​that can be used for analysis. According to the distribution position of the sensor on the transformer, the temperature values ​​of each position are sorted and combined according to specific rules and sequences, thereby forming a two-dimensional or multi-dimensional matrix. The matrix is ​​the second transformer temperature monitoring matrix, which clearly shows the temperature distribution state of each monitoring point of the transformer at a specific moment. For example, it is assumed that the temperature sensor array includes 15 sensors, which are installed at different positions of the transformer. At a certain moment, the temperature monitored by sensor 1 is 80°C, the temperature monitored by sensor 2 is 85°C, and so on. By summarizing these data, a second transformer temperature monitoring matrix covering these 15 temperature values ​​is finally formed.

[0039] In a possible implementation, a second transformer temperature monitoring matrix is ​​obtained through a temperature sensor array, and step S700 further includes step S710, where fiber grating sensors are evenly deployed on windings, cores, oil tank temperature measuring tanks, top layers of oil tanks, cooler outlets, transformer housings, bushings, insulators, and bottom layers of oil tanks. Specifically, fiber grating sensors are prepared and arranged in a planned and even manner at multiple key positions of the transformer, and the sensors are installed at the windings to monitor the temperature of the windings; at the core position to obtain the temperature information of the core; at the oil tank temperature measuring tank to accurately measure the oil temperature in the oil tank; at the top layer of the oil tank to pay attention to the oil temperature changes at the top; at the cooler outlet to understand the oil temperature at the cooler outlet; at the transformer housing to monitor the temperature of the housing; at the bushing to grasp the temperature of the bushing; at the insulator position to measure the temperature of the insulator; and at the bottom of the oil tank to obtain the oil temperature data at the bottom.

[0040] Step S720, collect the winding temperature timing information, core temperature timing information, oil temperature timing information, top oil temperature index, winding hot spot temperature timing information, cooler outlet oil temperature timing information, transformer shell temperature timing information, bushing temperature timing information, insulator temperature timing information, bottom oil temperature timing information in each preset time zone. Specifically, set a specific time zone (preset time zone). In each such time interval, use the deployed fiber grating sensor to collect a series of temperature timing information. Including the information of the winding temperature changing over time, the core temperature timing, the overall oil temperature change timing in the oil tank, the specific index data of the top oil temperature, the temperature change information of the winding hot spot over time, the timing data of the cooler outlet oil temperature, the transformer shell temperature change timing, the bushing temperature timing information, the insulator temperature timing and the oil temperature timing information at the bottom of the oil tank.

[0041] Step S730, traverse the group temperature time series information, the core temperature time series information, the oil temperature time series information, the top oil temperature index, the winding hot spot temperature time series information, the cooler outlet oil temperature time series information, the transformer shell temperature time series information, the bushing temperature time series information, the insulator temperature time series information, and the bottom oil temperature time series information to perform mode analysis to obtain the second transformer temperature monitoring matrix. Specifically, all the collected temperature time series information and indicators are comprehensively traversed and processed. Using the method of mode analysis, the winding temperature time series information, the core temperature time series information, the oil temperature time series information, the top oil temperature index, the winding hot spot temperature time series information, the cooler outlet oil temperature time series information, the transformer shell temperature time series information, the bushing temperature time series information, the insulator temperature time series information and the bottom oil temperature time series information are analyzed and calculated. Through this analysis, the second transformer temperature monitoring matrix that can reflect the temperature distribution and change characteristics of the transformer in a specific time period is finally obtained. For example, assuming that the preset time zone is every 5 minutes, a series of temperature data are collected within these 5 minutes. By analyzing these data, it is found that the winding temperature is around 70°C most of the time, the core temperature is mostly 65°C, and so on, so as to construct a monitoring matrix that reflects the temperature status of the transformer during this time period. The above collection and analysis process is repeated in different preset time zones, and the second transformer temperature monitoring matrix is ​​continuously updated and improved to achieve real-time and accurate monitoring and analysis of the transformer temperature.

[0042] Step S800, when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, a safety warning signal is generated. Specifically, the specific contents of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix to be compared are determined, relevant tools and systems for comparative analysis are prepared, key parameters and conditions for comparison are set, such as temperature deviation thresholds, monitoring point consistency requirements, etc., and the comparison operation is performed to determine whether there are inconsistencies between the two matrices. If inconsistencies are found, such inconsistencies indicate that there are differences in the temperature data of the two matrices at the same monitoring location or time period, which may be characterized by significant differences in values ​​or divergence in the trend of change. Once the inconsistency is confirmed, the generation mechanism of the safety warning signal is immediately activated, and the generated safety warning signal will be presented in a specific form, such as emitting a loud alarm, flashing warning lights, sending reminder text messages or electronic messages. At the same time, the early warning signal may contain detailed information on inconsistencies, such as which specific monitoring locations have inconsistent temperatures, specific values ​​of deviations, etc., so that relevant personnel can quickly know the key to the problem and take timely countermeasures. For example, if the temperature of a specific monitoring point in the temperature monitoring matrix of the first transformer is 70°C, and the temperature of the same monitoring point in the temperature monitoring matrix of the second transformer is 90°C, the deviation exceeds the preset safety threshold of 15°C. The system will quickly generate a safety early warning signal and send an alarm message containing specific monitoring points and temperature deviation values ​​to the operation and maintenance personnel, reminding them to check and deal with possible problems as soon as possible to ensure the safe and stable operation of the transformer.

[0043] In a possible implementation, when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, a safety warning signal is generated, and step S800 further includes step S810, traversing the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer shell temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index through the user end, and configuring the temperature deviation threshold set. Specifically, the user views and processes the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer shell temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index in turn on the terminal operation interface. For each indicator, the user sets a reasonable temperature deviation allowable range based on experience, equipment specifications, safety standards, and other factors, and integrates these ranges to form a temperature deviation threshold set.

[0044] Step S820, count the proportion of indicators that do not meet the temperature deviation threshold set in the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix, and generate a first-level risk coefficient. Specifically, the system compares and analyzes the indicator data in the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix one by one. Calculate the number of indicators that do not meet the previously set temperature deviation threshold set, and divide it by the total number of indicators to obtain the proportion of indicators that do not meet the threshold. This proportion value is defined as the first-level risk coefficient, which reflects the initial degree of deviation of the transformer temperature monitoring data from the normal range.

[0045] Step S830, when the first-level hazard coefficient is greater than or equal to the first-level hazard coefficient threshold, the mean deviation of the indicators of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix that do not meet the temperature deviation threshold set is counted and set as the second-level hazard coefficient. Specifically, if the calculated first-level hazard coefficient reaches or exceeds the preset first-level hazard coefficient threshold, it indicates that there may be more serious problems with the temperature condition of the transformer. At this time, a more in-depth analysis is further performed on the indicators that do not meet the temperature deviation threshold set. The deviation average of these indicators is calculated, and this average is set as the second-level hazard coefficient. The second-level hazard coefficient more accurately reflects the severity of the deviation from the normal temperature range.

[0046] Step S840, when the secondary hazard coefficient is greater than or equal to the secondary hazard coefficient threshold, it is considered that the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent. Specifically, when the secondary hazard coefficient also reaches or exceeds the pre-set secondary hazard coefficient threshold, it is determined that the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent. This means that there is a significant abnormality in the temperature state of the transformer, and emergency measures may need to be taken for processing and maintenance. For example, it is assumed that the deviation range of the winding temperature should not exceed ±5°C in the temperature deviation threshold set. When comparing the first and second transformer temperature monitoring matrices, it is found that 30% of the winding temperature indicators exceed this range, then this 30% is the primary hazard coefficient. If the primary hazard coefficient threshold is set to 20%, and 30% at this time exceeds the threshold, the deviation average value of the winding temperature indicator that exceeds the range is further calculated, assuming it is 7°C. If the secondary hazard coefficient threshold is 6°C, since 7°C is greater than 6°C, it is determined that the two matrices are inconsistent. For the core temperature indicator, the above steps are also followed for analysis and judgment, and the situation of multiple indicators is comprehensively evaluated to fully evaluate whether the temperature state of the transformer is normal.

[0047] The embodiment of the present application adopts an AC power grid equivalent circuit topology, which contains a current and voltage label set and a distribution position set that change with the power grid. Based on this, a current and voltage monitoring matrix (with a duration mark) is constructed, and an initial transformer temperature monitoring matrix and ambient temperature information are loaded to predict and generate a transformer temperature prediction matrix. A second transformer temperature monitoring matrix is ​​obtained through a temperature sensor array. If the two are inconsistent, a safety warning signal is generated. By constructing a comprehensive and objective monitoring system and a scientific analysis model, instead of the subjective determination of threshold values, an accurate and reliable evaluation of power grid security and timely and effective warning are achieved, achieving a technical effect of effectively ensuring the stable operation of the power grid and the optimal allocation of resources.

[0048] In the above, refer to Figure 1 The transformer-based AC power grid security monitoring method according to an embodiment of the present invention is described in detail. Figure 2 A transformer-based AC power grid safety monitoring device according to an embodiment of the present invention is described.

[0049] The transformer-based AC power grid safety monitoring device according to the embodiment of the present invention is used to solve the technical problem that the existing transformer state analysis of power grid safety leads to insufficient reliability due to subjective determination of threshold values, making it difficult to accurately and comprehensively monitor and effectively warn of potential safety hazards in the power grid. By constructing a comprehensive and objective monitoring system and a scientific analysis model, instead of the subjective determination of threshold values, an accurate and reliable evaluation of power grid safety and timely and effective warning are achieved, achieving a technical effect of effectively ensuring the stable operation of the power grid and the optimal allocation of resources. The transformer-based AC power grid safety monitoring device includes: an AC power grid configuration module 10, a current monitoring matrix construction module 20, a voltage monitoring matrix construction module 30, a first transformer temperature monitoring matrix loading module 40, an ambient temperature information loading module 50, a transformer temperature prediction matrix generation module 60, a second transformer temperature monitoring matrix acquisition module 70, and a safety warning signal generation module 80.

[0050] The AC power grid configuration module 10 is used to configure an equivalent circuit topology of the AC power grid in the substation area, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology;

[0051] The current monitoring matrix construction module 20 is used to construct a current monitoring matrix according to the first distribution position set and the current label set;

[0052] The voltage monitoring matrix construction module 30 is used to construct a voltage monitoring matrix according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier;

[0053] The first transformer temperature monitoring matrix loading module 40 is used to load the first transformer temperature monitoring matrix at the initial time identified by the first duration;

[0054] The ambient temperature information loading module 50 is used to load ambient temperature information;

[0055] The transformer temperature prediction matrix generation module 60 is used to predict the transformer temperature based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier, and generate a transformer temperature prediction matrix;

[0056] The second transformer temperature monitoring matrix acquisition module 70 is used to obtain the second transformer temperature monitoring matrix through the temperature sensor array;

[0057] The safety warning signal generating module 80 is used to generate a safety warning signal when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent.

[0058] The specific configuration of the voltage monitoring matrix construction module 30 will be described in detail below. As described above, a voltage monitoring matrix is ​​constructed according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier, and the voltage monitoring matrix construction module 30 may further include: a storage update monitoring unit for returning the first duration identifier to zero and restarting the timing when the current monitoring matrix and / or the voltage monitoring matrix are updated, and storing the transformer temperature monitoring matrix at the time of the update; a continuous growth timing unit for continuously growing the timing of the first duration identifier when the current monitoring matrix and / or the voltage monitoring matrix are not updated.

[0059] Among them, when the current monitoring matrix and / or the voltage monitoring matrix is ​​updated, the first duration identifier is reset to zero and the timing is restarted, and the transformer temperature monitoring matrix at the time of update is stored at the same time. The storage and update monitoring unit may further include: a first monitoring current acquisition subunit is used to obtain the first monitoring current at a first distribution position; a first current fluctuation interval extraction subunit is used to extract the first current fluctuation interval of the first distribution position of the current monitoring matrix; a current monitoring matrix update judgment subunit is used to not update the current monitoring matrix when the first monitoring current belongs to the first current fluctuation interval; a second current fluctuation interval acquisition subunit is used to store the monitoring current of the first preset duration starting from the monitoring time when the first monitoring current does not belong to the first current fluctuation interval, and obtain the second current fluctuation interval; a current monitoring matrix update subunit is used to update the current monitoring matrix according to the second current fluctuation interval when the proportion of the non-overlapping interval between the second current fluctuation interval and the first current fluctuation interval is greater than or equal to the interval proportion threshold.

[0060] The specific configuration of the transformer temperature prediction matrix generation module 60 will be described in detail below. As described above, based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier, the transformer temperature prediction is performed to generate a transformer temperature prediction matrix. The transformer temperature prediction matrix generation module 60 may further include: a transformer temperature index set configuration unit is used to configure a transformer temperature index set, wherein the transformer temperature index set includes a winding temperature index, a core temperature index, an oil temperature index, a top oil temperature index, a winding hot spot temperature index, a cooler outlet oil temperature index, a transformer casing temperature index, a bushing temperature index, an insulator temperature index, and a bottom oil temperature index; a transformer temperature prediction matrix ... The detector set corresponding unit is used in which the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer casing temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index have a one-to-one corresponding transformer temperature predictor set; the transformer temperature prediction matrix acquisition unit is used to analyze the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier according to the transformer temperature predictor set to obtain the transformer temperature prediction matrix.

[0061] Among them, the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer shell temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index have a one-to-one corresponding transformer temperature predictor set, and the transformer temperature predictor set corresponding unit can further include: a data acquisition subunit is used to collect a current monitoring matrix record data set, a voltage monitoring matrix record data set, an ambient temperature record data set, a first transformer temperature monitoring matrix record data set, a first duration record data set and a first transformer based on the equivalent circuit topology as a constraint. The second transformer temperature index characteristic value recording data set is a recording data set for recording characteristic values ​​of transformer temperature indicators, wherein the current monitoring matrix recording data set, the voltage monitoring matrix recording data set, the ambient temperature recording data set, the first transformer temperature monitoring matrix recording data set, the first duration recording data set and the first transformer temperature index characteristic value recording data set are in a one-to-one correspondence; the recording data set subunit is used to collect the second transformer temperature index characteristic value recording data set with the equivalent circuit topology, the current monitoring matrix recording data set, the voltage monitoring matrix recording data set, the ambient temperature recording data set, the first transformer temperature monitoring matrix recording data set and the first duration recording data set as constraints. , wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set and the second transformer temperature index characteristic value record data set are in a one-to-many relationship; the trend analysis subunit is used to perform a centralized trend analysis on the first transformer temperature index characteristic value record data and the second transformer temperature index characteristic value record data belonging to the same current monitoring matrix record data, voltage monitoring matrix record data, ambient temperature record data, first transformer temperature monitoring matrix record data, and first duration record data, to obtain a third transformer temperature index characteristic value identification data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set and the third transformer temperature index characteristic value identification data set are in a one-to-one correspondence relationship; the supervised training subunit is used to perform supervised training on the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set according to the third transformer temperature index characteristic value identification data set, to generate the transformer temperature predictor set.

[0062] The specific configuration of the second transformer temperature monitoring matrix acquisition module 70 will be described in detail below. As described above, the second transformer temperature monitoring matrix is ​​obtained through the temperature sensor array, and the second transformer temperature monitoring matrix acquisition module 70 may further include: a fiber grating sensor deployment unit is used to evenly deploy fiber grating sensors on windings, cores, oil tank temperature measuring tanks, top layers of oil tanks, cooler outlets, transformer housings, bushings, insulators, and bottom layers of oil tanks; a timing information acquisition unit is used to collect the winding temperature timing information, core temperature timing information, oil temperature timing information, top layer oil temperature index, winding hot spot temperature timing information, and cooler outlets in each preset time zone; Oil temperature timing information, transformer casing temperature timing information, bushing temperature timing information, insulator temperature timing information, bottom oil temperature timing information; the traversal unit is used to traverse the group temperature timing information, the core temperature timing information, the oil temperature timing information, the top oil temperature index, the winding hot spot temperature timing information, the cooler outlet oil temperature timing information, the transformer casing temperature timing information, the bushing temperature timing information, the insulator temperature timing information, and the bottom oil temperature timing information to perform mode analysis to obtain the second transformer temperature monitoring matrix.

[0063] The specific configuration of the safety warning signal generation module 80 will be described in detail below. As described above, when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, a safety warning signal is generated, and the safety warning signal generation module 80 may further include: a temperature deviation threshold set configuration unit is used to traverse the winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer shell temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index through the user end to configure the temperature deviation threshold set; a first-level risk factor generation unit is used to count the proportion of indicators that do not meet the temperature deviation threshold set of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix to generate a first-level risk factor; a second-level risk factor setting unit is used to count the mean deviation of the indicators that do not meet the temperature deviation threshold set of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix when the first-level risk factor is greater than or equal to the first-level risk factor threshold, and set it as a second-level risk factor; a monitoring matrix judgment unit is used to regard the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix as inconsistent when the second-level risk factor is greater than or equal to the second-level risk factor threshold.

[0064] The transformer-based AC power grid safety monitoring device provided in the embodiment of the present invention can execute the transformer-based AC power grid safety monitoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0065] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0066] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A transformer-based AC power grid security monitoring method, characterized in that: include: An equivalent circuit topology of an AC power grid in a substation area is configured, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology; Constructing a current monitoring matrix according to the first distribution position set and the current label set; Constructing a voltage monitoring matrix according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier; Loading a first transformer temperature monitoring matrix at an initial time identified by the first duration; Load ambient temperature information; Perform transformer temperature prediction based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier to generate a transformer temperature prediction matrix; Obtaining a second transformer temperature monitoring matrix through a temperature sensor array; When the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, generating a safety warning signal; The transformer temperature is predicted based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier to generate a transformer temperature prediction matrix, including: Configure a transformer temperature index set, wherein the transformer temperature index set includes a winding temperature index, a core temperature index, an oil temperature index, a top oil temperature index, a winding hot spot temperature index, a cooler outlet oil temperature index, a transformer casing temperature index, a bushing temperature index, an insulator temperature index, and a bottom oil temperature index; The winding temperature index, the core temperature index, the oil temperature index, the top oil temperature index, the winding hot spot temperature index, the cooler outlet oil temperature index, the transformer housing temperature index, the bushing temperature index, the insulator temperature index, and the bottom oil temperature index have a one-to-one corresponding transformer temperature predictor set; According to the transformer temperature predictor set, the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier are analyzed to obtain the transformer temperature prediction matrix.

2. The transformer-based AC power grid safety monitoring method according to claim 1, characterized in that: Also includes: When the current monitoring matrix and / or the voltage monitoring matrix is ​​updated, the first duration indicator is reset to zero and the timing is restarted, and the transformer temperature monitoring matrix at the time of the update is stored at the same time; When the current monitoring matrix and / or the voltage monitoring matrix is ​​not updated, the first duration indicator continuously increases the timing.

3. The transformer-based AC power grid safety monitoring method according to claim 2, characterized in that: When the current monitoring matrix and / or the voltage monitoring matrix is ​​updated, the first duration indicator is reset to zero and the timing is restarted, and the updated transformer temperature monitoring matrix is ​​stored at the same time, which includes: Obtaining a first monitoring current at a first distribution position; Extracting a first current fluctuation interval of the first distribution position of the current monitoring matrix; When the first monitoring current belongs to the first current fluctuation interval, the current monitoring matrix is ​​not updated; When the first monitoring current does not belong to the first current fluctuation interval, starting from the monitoring moment and storing the monitoring current of the first preset time length, to obtain a second current fluctuation interval; When the proportion of non-overlapping intervals between the second current fluctuation interval and the first current fluctuation interval is greater than or equal to an interval proportion threshold, the current monitoring matrix is ​​updated according to the second current fluctuation interval.

4. The transformer-based AC power grid safety monitoring method according to claim 1, characterized in that: The transformer temperature predictor set construction step comprises: Taking the equivalent circuit topology as a constraint, collecting a current monitoring matrix record data set, a voltage monitoring matrix record data set, an ambient temperature record data set, a first transformer temperature monitoring matrix record data set, a first duration record data set, and a first transformer temperature index characteristic value record data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set, and the first transformer temperature index characteristic value record data set are in a one-to-one correspondence; Taking the equivalent circuit topology, the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set as constraints, collecting the second transformer temperature index characteristic value record data set, wherein the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, the first duration record data set and the second transformer temperature index characteristic value record data set are in a one-to-many relationship; Performing a central trend analysis on the first transformer temperature index characteristic value recording data and the second transformer temperature index characteristic value recording data belonging to the same current monitoring matrix recording data, voltage monitoring matrix recording data, ambient temperature recording data, first transformer temperature monitoring matrix recording data, and first duration recording data, to obtain a third transformer temperature index characteristic value identification data set, wherein the current monitoring matrix recording data set, the voltage monitoring matrix recording data set, the ambient temperature recording data set, the first transformer temperature monitoring matrix recording data set, the first duration recording data set, and the third transformer temperature index characteristic value identification data set are in a one-to-one correspondence; According to the third transformer temperature indicator characteristic value identification data set, supervised training is performed on the current monitoring matrix record data set, the voltage monitoring matrix record data set, the ambient temperature record data set, the first transformer temperature monitoring matrix record data set, and the first duration record data set to generate the transformer temperature predictor set.

5. The transformer-based AC power grid safety monitoring method according to claim 1, characterized in that: Through the temperature sensor array, a second transformer temperature monitoring matrix is ​​obtained, including: Fiber Bragg grating sensors are evenly deployed on windings, cores, oil tank temperature measuring tanks, top layers of oil tanks, cooler outlets, transformer casings, bushings, insulators, and the bottom of oil tanks; Each preset time zone collects winding temperature timing information, core temperature timing information, oil temperature timing information, top oil temperature index, winding hot spot temperature timing information, cooler outlet oil temperature timing information, transformer shell temperature timing information, bushing temperature timing information, insulator temperature timing information, bottom oil temperature timing information; The group temperature timing information, the core temperature timing information, the oil temperature timing information, the top oil temperature index, the winding hot spot temperature timing information, the cooler outlet oil temperature timing information, the transformer casing temperature timing information, the bushing temperature timing information, the insulator temperature timing information, and the bottom oil temperature timing information are traversed to perform mode analysis to obtain the second transformer temperature monitoring matrix.

6. The transformer-based AC power grid safety monitoring method according to claim 1, characterized in that: When the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent, a safety warning signal is generated, including: Through the user end, traverse the winding temperature index, core temperature index, oil temperature index, top oil temperature index, winding hot spot temperature index, cooler outlet oil temperature index, transformer shell temperature index, bushing temperature index, insulator temperature index, bottom oil temperature index, and configure the temperature deviation threshold set; Counting the proportion of indicators of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix that do not meet the temperature deviation threshold set, and generating a first-level risk coefficient; When the first-level risk coefficient is greater than or equal to the first-level risk coefficient threshold, the mean value of the index deviation of the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix that does not meet the temperature deviation threshold set is counted and set as the second-level risk coefficient; When the secondary hazard coefficient is greater than or equal to the secondary hazard coefficient threshold, it is regarded that the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent.

7. A transformer-based AC power grid safety monitoring device, characterized in that: The device is used to implement the transformer-based AC power grid security monitoring method according to any one of claims 1 to 6, and the device comprises: An AC power grid configuration module, the AC power grid configuration module is used to configure an equivalent circuit topology of an AC power grid in an area, wherein the equivalent circuit topology has a current label set and a voltage label set that change synchronously with the power grid, the current label set has a first distribution position set in the equivalent circuit topology, and the voltage label set has a second distribution position set in the equivalent circuit topology; A current monitoring matrix construction module, wherein the current monitoring matrix construction module is used to construct a current monitoring matrix according to the first distribution position set and the current label set; A voltage monitoring matrix construction module, wherein the voltage monitoring matrix construction module is used to construct a voltage monitoring matrix according to the second distribution position set and the voltage label set, wherein the current monitoring matrix and the voltage monitoring matrix have a first duration identifier; A first transformer temperature monitoring matrix loading module, the first transformer temperature monitoring matrix loading module is used to load the first transformer temperature monitoring matrix at the initial time identified by the first duration; An ambient temperature information loading module, wherein the ambient temperature information loading module is used to load ambient temperature information; A transformer temperature prediction matrix generation module, the transformer temperature prediction matrix generation module is used to predict the transformer temperature based on the current monitoring matrix, the voltage monitoring matrix, the ambient temperature information, the first transformer temperature monitoring matrix and the first duration identifier, and generate a transformer temperature prediction matrix; A second transformer temperature monitoring matrix acquisition module, wherein the second transformer temperature monitoring matrix acquisition module is used to obtain a second transformer temperature monitoring matrix through a temperature sensor array; A safety warning signal generating module is used to generate a safety warning signal when the first transformer temperature monitoring matrix and the second transformer temperature monitoring matrix are inconsistent.

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