Safety operation risk assessment method of electric power system in extreme weather and related device

Abstract

The invention discloses a safety operation risk assessment method and related device for an electric power system in extreme weather, and the method comprises the steps: obtaining the weather data of an area where a to-be-assessed electric power system is located, and carrying out the analysis according to the weather data, and obtaining a weather condition which may affect the electric power system; acquiring comprehensive operation data of each transformer in the to-be-evaluated power system, wherein the comprehensive operation data comprises load data and operation data; predicting the load condition of the step-down transformer according to the load data, and evaluating the operation state of the step-down transformer according to the operation data; and performing risk assessment on the safe operation of the to-be-assessed power system by combining the load condition and the operation state of the step-down transformer and the weather condition. Therefore, the problems of low efficiency and poor accuracy in the prior art are solved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method and related device for assessing the risk of safe operation of an electric power system under extreme weather conditions. Background Art

[0002] In recent years, extreme weather has occurred more and more frequently, including extremely high temperatures, extremely low temperatures, and extremely heavy rains. These extreme weather conditions will not only further cause meteorological disasters such as droughts and floods, but the operation of power systems in such weather environments will also pose a high safety risk.

[0003] As the last stop before the power system enters the user, the step-down transformer has the function of reducing the high-voltage power grid to the low voltage entering the household. However, when the city encounters extreme weather, such as extremely high temperature and extremely low temperature, the user's power consumption will increase exponentially, which will have a greater impact on the load of the power system, and then cause the step-down transformer in the power system to operate overloaded, and then cause the step-down transformer to malfunction and be damaged, affecting the safe operation of the power system. In extreme rainy weather, the probability of the step-down transformer contacting water will increase, causing the step-down transformer to short-circuit, and ultimately causing the step-down transformer to malfunction. In addition, in such weather, it is often accompanied by strong winds of level 6 or above, which will damage the electrical equipment on the street and cause the transmission lines to leak, posing a safety hazard. Therefore, in extreme weather, it is necessary to estimate the operating risks of the power system in advance so that correct decisions can be made.

[0004] At present, risk assessment of power systems in extreme weather is carried out, such as the power system risk assessment method, device and storage medium under extreme weather disclosed in Chinese patent (CN116305863A), and the power system risk assessment method considering deep feature mining under extreme weather disclosed in Chinese patent (CN117217542A). Both of them pre-design a mathematical model that can predict the probability of occurrence of corresponding extreme weather, and then complement, feedback and verify it with real-time weather data. Finally, the power system's own vulnerability value or failure rate is combined to assess the risks that the power system may suffer. However, the above methods often rely on historical data and static models, with a low update frequency, and it is difficult to reflect the real-time changes of the power system; and the above methods all judge the power system at the macro level. Therefore, for cities, the power system is widely distributed, and an efficient and accurate assessment method is needed. Summary of the invention

[0005] The present application provides a method and related devices for assessing the risk of safe operation of an electric power system under extreme weather conditions, which are used to solve the problems of low efficiency and poor accuracy of the prior art.

[0006] In view of this, the first aspect of the present application provides a method, the method comprising:

[0007] Obtain weather data for the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on the weather data;

[0008] Obtaining comprehensive operating data of each transformer in the power system to be evaluated, wherein the comprehensive operating data includes: load data and operating data;

[0009] Predicting the load condition of the step-down transformer according to the load data, and evaluating the operating state of the step-down transformer according to the operating data;

[0010] In combination with the load condition and the operating status of the step-down transformer, as well as the weather conditions, a risk assessment is performed on the safe operation of the power system to be assessed.

[0011] Optionally, the weather data includes: current weather data and predicted weather data.

[0012] Optionally, the weather conditions include: extremely heavy rain weather, extremely high temperature weather and extremely low temperature weather.

[0013] Optionally, predicting the load condition of the step-down transformer according to the load data includes:

[0014] According to the load data, a time series prediction model is used to predict the load condition of the step-down transformer.

[0015] Optionally, the evaluating the operating state of the step-down transformer according to the operating data includes:

[0016] The temperature rise, real-time current data, real-time power load and historical failure rate of the transformer are calculated based on the operating data to evaluate the operating status of the step-down transformer.

[0017] Optionally, the step of performing risk assessment on the safe operation of the power system to be assessed in combination with the load condition and the operating state of the step-down transformer and the weather conditions includes:

[0018] Comparing the predicted load condition with the actual load value to obtain a load prediction error, determining an indicator of the equipment health status according to the operating status of the step-down transformer, and determining the impact of weather conditions according to the weather conditions;

[0019] Based on a weighted comprehensive score calculation formula, a risk index is calculated according to the load forecast error and the equipment health status index, as well as the influence of weather conditions, and a risk assessment is performed on the safe operation of the power system to be assessed according to the risk index;

[0020] The weighted comprehensive score calculation formula is:

[0021] ;

[0022] in, is a risk indicator, is the load forecast error, An indicator of the health status of the device. Due to the influence of weather conditions, , , is the weight of each factor.

[0023] Optionally, performing risk assessment on safe operation of the power system to be assessed according to the risk indicator includes:

[0024] The risk index is matched with the risk value corresponding to the preset risk index level to obtain the risk level of the power system operation to be evaluated.

[0025] A second aspect of the present application provides a safe operation risk assessment system for a power system under extreme weather conditions, the system comprising:

[0026] A first acquisition unit is used to acquire weather data of the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on analysis of the weather data;

[0027] A second acquisition unit is used to acquire comprehensive operation data of each transformer in the power system to be evaluated, wherein the comprehensive operation data includes: load data and operation data;

[0028] a prediction unit, configured to predict the load condition of the step-down transformer according to the load data, and to evaluate the operating state of the step-down transformer according to the operating data;

[0029] The evaluation unit is used to perform risk evaluation on the safe operation of the power system to be evaluated in combination with the load condition and the operating state of the step-down transformer and the weather conditions.

[0030] A third aspect of the present application provides a device for assessing the risk of safe operation of a power system under extreme weather conditions, the device comprising a processor and a memory:

[0031] The memory is used to store program code and transmit the program code to the processor;

[0032] The processor is used to execute the steps of the method for assessing the risk of safe operation of the power system under extreme weather conditions as described in the first aspect above according to the instructions in the program code.

[0033] A fourth aspect of the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the method for assessing the safe operation risks of the power system under extreme weather conditions described in the first aspect above.

[0034] It can be seen from the above technical solutions that this application has the following advantages:

[0035] The present application provides a method for assessing the risk of safe operation of power systems under extreme weather conditions. By analyzing weather conditions in advance through weather data, the weather environment in which the current power system is located can be given, thereby facilitating the subsequent extraction of corresponding data, conducting specific analysis, reducing the amount of calculation, and improving the efficiency of risk assessment of power system operation; and utilizing the real-time operating data of the lower-level equipment, namely the step-down transformer, it is possible to make continuous dynamic adjustments during the risk assessment process to improve the accuracy of risk assessment; and combining multiple factors such as load forecasting, equipment status and weather conditions for comprehensive analysis and assessment, which can more comprehensively understand and quantify the risks in the operation of the power system. This method can handle complex nonlinear relationships and variable external factors, such as sudden weather changes or equipment failures, thereby providing a more flexible and effective risk assessment for the power system. It solves the problem of low efficiency and poor accuracy of the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a flow chart of a method for risk assessment of safe operation of a power system under extreme weather conditions provided in an embodiment of the present application;

[0037] Figure 2 This is a schematic diagram of the structure of a system for assessing the risk of safe operation of an electric power system under extreme weather conditions provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] See also Figure 1 , a method for assessing the safe operation risk of a power system under extreme weather conditions provided in an embodiment of the present application includes:

[0040] Step 101: Obtain weather data for the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on weather data analysis.

[0041] It should be noted that weather data is generally provided by the Meteorological Bureau, and for extreme weather, the Meteorological Bureau defines it based on whether the weather data exceeds the threshold set by it. For the power system, even in the extreme weather specified by the Meteorological Bureau, if some conditions are not met, there will be no immediate operational risk; therefore, weather data is used to analyze weather conditions that may affect the power system, such as the impact of temperature on equipment performance, or the impact of wind speed on transmission lines.

[0042] Step 102: Obtain comprehensive operating data of each transformer in the power system to be evaluated, where the comprehensive operating data includes load data and operating data.

[0043] It should be noted that the comprehensive data includes the real-time operating data of each transformer in the power system, as well as the historical operating data, etc. The real-time operating data includes: the temperature of the transformer, the current load of the generator, etc., which are used to subsequently calculate the operating status and health status of the equipment; the historical operating data is the historical load data, which is usually recorded at time intervals of hours or shorter, reflecting the load changes of the step-down transformer, and after comprehensive processing and analysis of the historical operating data of multiple step-down transformers, the historical load changes of the power system can be determined; in addition, for the real-time operating data of the step-down transformer, a decentralized collection method is adopted, and then centralized acquisition and processing is adopted, which has the characteristics of overall planning, and can not only analyze the operating status of each step-down transformer, but also analyze whether the status of a step-down transformer is a special case based on the operating status of a certain step-down transformer and the equipment in its adjacent areas.

[0044] Step 103: predict the load condition of the step-down transformer according to the load data, and evaluate the operating state of the step-down transformer according to the operating data.

[0045] Step 104: Conduct a risk assessment on the safe operation of the power system to be assessed based on the load condition and operating status of the step-down transformer and weather conditions.

[0046] In one embodiment, step 103 includes:

[0047] According to the load data, the time series prediction model is used to predict the load condition of the step-down transformer.

[0048] It should be noted that this step is to predict the changes in the power load of each step-down transformer in the future, so as to optimize the power generation of the step-down transformers in each region, adjust the transmission scheduling, and provide a basis for the subsequent evaluation of the equipment operation status;

[0049] In addition, when predicting the load of the step-down transformer, various time series prediction models, such as ARIMA, neural network (LSTM), random forest, etc., can be used for accurate calculation and prediction;

[0050] Take ARIMA as an example:

[0051] The load forecasting model is constructed as follows:

[0052] ;

[0053] in, is the load at time t after h prediction steps, is the load data at the current moment in history, is the white noise error term;

[0054] and is the intercept term in the model, generally a constant, indicating that When it is equal to zero, the predicted value The expected value of The basic forecast level at the time of

[0055] yes The coefficient of The weight in the model that determines the Predictions for the future the extent of the impact;

[0056] is the residual term The coefficient of represents the autoregressive (AR) effect of the residuals in the model. This term allows the model to capture the temporal correlation of the residuals, that is, how the residuals at the previous moment affect the prediction at the current moment.

[0057] The transformer's temperature rise, real-time current data, real-time power load, and historical failure rate are calculated based on the operating data to evaluate the operating status of the step-down transformer.

[0058] It should be noted that this step is used to evaluate the operating status of key equipment in the power system, namely the step-down transformer, to ensure the normal operation of the equipment and to detect potential faults in a timely manner;

[0059] Specifically, the health status of the device can be evaluated by analyzing indicators such as the device's temperature, current load, or historical failure rate.

[0060] Among them, the following formula can be used to evaluate the temperature rise of the transformer:

[0061] ;

[0062] in, is the temperature rise, is the current load, is the equivalent resistance of the transformer;

[0063] The current load can be evaluated through the real-time current data of the device, that is;

[0064] ;

[0065] in, is the real-time power load of the transformer, is the voltage;

[0066] The historical failure rate usually refers to the frequency of equipment failures in the past period of time, which can be estimated by the following formula:

[0067] ;

[0068] in, is the number of times a device fails within a certain period of time. It is the total number of times the device has run in the same time period.

[0069] In one embodiment, step 104 includes:

[0070] The load prediction error is obtained by comparing the predicted load situation with the actual load value, the equipment health status indicator is determined according to the operating status of the step-down transformer, and the impact of weather conditions is determined according to weather conditions.

[0071] Based on the weighted comprehensive score calculation formula, the risk index is calculated according to the indicators of load forecast error and equipment health status, as well as the impact of weather conditions, and a risk assessment is conducted on the safe operation of the power system to be assessed based on the risk index.

[0072] The weighted comprehensive score calculation formula is:

[0073] ;

[0074] in, is a risk indicator, is the load forecast error, An indicator of the health status of the device. Due to the influence of weather conditions, , , is the weight of each factor.

[0075] It should be noted that is the load forecast error, which is the difference between the predicted load value and the actual load value;

[0076] It is an indicator of the health status of the step-down transformer, obtained by comparing the current status of the device with historical operating data;

[0077] Is the impact of weather conditions, if extreme weather conditions occur, and or The larger the value of becomes, the greater the impact of weather conditions on the safe operation of the power system becomes.

[0078] The following is an example of the risk assessment method for safe operation of power systems under extreme weather conditions provided in this application:

[0079] If the city encounters extreme heavy rain, the safe operation risk assessment method of this application is as follows:

[0080] First, based on the current weather data and forecast weather data in the urban area, it can be determined that the city is currently experiencing extreme heavy rain weather. Then, it can be concluded that under such weather conditions, the power system may experience a short circuit failure of the step-down transformer due to water exposure, or the transmission line may be exposed.

[0081] Afterwards, if the load forecast error increases, it means that the step-down transformer has a short circuit due to water or the transmission line is exposed. The value of becomes larger accordingly;

[0082] If the transmission line is exposed, the current load of the step-down transformer will increase, and the health status index of the step-down transformer will also increase. The value of becomes larger accordingly;

[0083] And in and If the values ​​of and increase, it means that the weather conditions have a great impact on the safe operation of the power system. The value of becomes larger accordingly;

[0084] Finally, when The value of exceeds 3, indicating that the operation of the power system is high risk;

[0085] when The value of is 2-3, indicating that the operation of the power system is at medium risk;

[0086] when The value of is 1-2, indicating that the operation of the power system is low risk;

[0087] when The value of is less than 1, indicating that the operation of the power system is risk-free.

[0088] If the city encounters extremely high temperature or extremely low temperature weather, the safe operation risk assessment method of this application is as follows:

[0089] First, based on the current weather data and forecast weather data of the urban area, it can be determined that the city is currently in extremely high temperature weather or extremely low temperature weather. Then, it can be concluded that under such weather conditions, the power system may experience an increase in user power consumption.

[0090] Afterwards, if the load forecast error increases, it means that the user's power consumption has increased. The value of becomes larger accordingly;

[0091] If the user's power consumption increases, the temperature rise and current load of the step-down transformer will also increase. At the same time, combined with the historical failure rate, it can be judged whether the step-down transformer is prone to failure at the current time in the past. If it is prone to failure, the health status index of the transformer will increase. The value of will become larger accordingly; if it is not easy to fail, and the temperature rise and current load of the step-down transformer do not reach the critical value, the health index of the step-down transformer will remain unchanged;

[0092] And in and If the values ​​of and increase, it means that the weather conditions have a great impact on the safe operation of the power system. The value of becomes larger accordingly;

[0093] Finally, when The value of exceeds 3, indicating that the operation of the power system is high risk;

[0094] when The value of is 2-3, indicating that the operation of the power system is at medium risk;

[0095] when The value of is 1-2, indicating that the operation of the power system is low risk;

[0096] when The value of is less than 1, indicating that the operation of the power system is risk-free.

[0097] A method for assessing the safe operation risk of a power system under extreme weather conditions provided in an embodiment of the present application can analyze weather conditions in advance through weather data, and can provide the weather environment in which the current power system is located, thereby facilitating the subsequent extraction of corresponding data, conducting specific analysis, reducing the amount of calculation, and improving the efficiency of risk assessment of power system operation; and utilizing the real-time operation data of the lower-level equipment, namely the step-down transformer, can continuously and dynamically adjust during the risk assessment process to improve the accuracy of risk assessment; and combining multiple factors such as load forecasting, equipment status and weather conditions, to conduct comprehensive analysis and assessment, which can more comprehensively understand and quantify the risks in the operation of the power system. This method can handle complex nonlinear relationships and variable external factors, such as sudden weather changes or equipment failures, thereby providing a more flexible and effective risk assessment for the power system. It solves the problem of low efficiency and poor accuracy of the existing technology.

[0098] The above is a method for assessing the safe operation risks of a power system under extreme weather conditions provided in an embodiment of the present application. The following is a system for assessing the safe operation risks of a power system under extreme weather conditions provided in an embodiment of the present application.

[0099] See also Figure 2 , a safe operation risk assessment system for a power system under extreme weather conditions provided in an embodiment of the present application includes:

[0100] The first acquisition unit 201 is used to acquire weather data of the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on analysis of the weather data.

[0101] The second acquisition unit 202 is used to acquire comprehensive operation data of each transformer in the power system to be evaluated, where the comprehensive operation data includes load data and operation data.

[0102] The prediction unit 203 is used to predict the load condition of the step-down transformer according to the load data, and to evaluate the operation state of the step-down transformer according to the operation data.

[0103] The evaluation unit 204 is used to perform risk evaluation on the safe operation of the power system to be evaluated in combination with the load condition and the operating state of the step-down transformer and the weather conditions.

[0104] Furthermore, an embodiment of the present application also provides a device for assessing the risk of safe operation of a power system under extreme weather conditions, the device comprising a processor and a memory:

[0105] The memory is used to store program code and transmit the program code to the processor;

[0106] The processor is used to execute the steps of the method for assessing the risk of safe operation of the power system under extreme weather conditions as described in the above method embodiment according to the instructions in the program code.

[0107] Furthermore, a computer-readable storage medium is provided in an embodiment of the present application, and the computer-readable storage medium is used to store program code, and the program code is used to execute the method for assessing the safe operation risk of the power system under extreme weather conditions described in the above method embodiment.

[0108] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0109] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0110] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0115] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for assessing the safe operation risk of a power system under extreme weather conditions, characterized in that: include: Obtain weather data for the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on the weather data; Obtaining comprehensive operating data of each transformer in the power system to be evaluated, wherein the comprehensive operating data includes: load data and operating data; Predicting the load condition of the step-down transformer according to the load data, and evaluating the operating state of the step-down transformer according to the operating data; In combination with the load condition and the operating status of the step-down transformer, as well as the weather conditions, a risk assessment is performed on the safe operation of the power system to be assessed.

2. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 1 is characterized in that: The weather data includes: current weather data and predicted weather data.

3. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 1 is characterized in that: The weather conditions include: extremely heavy rain, extremely high temperature and extremely low temperature.

4. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 1 is characterized in that: The predicting the load condition of the step-down transformer according to the load data includes: According to the load data, a time series prediction model is used to predict the load condition of the step-down transformer.

5. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 1 is characterized in that: The step of evaluating the operating state of the step-down transformer according to the operating data includes: The temperature rise, real-time current data, real-time power load and historical failure rate of the transformer are calculated based on the operating data to evaluate the operating status of the step-down transformer.

6. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 1 is characterized in that: The risk assessment of the safe operation of the power system to be assessed is performed in combination with the load condition and the operating state of the step-down transformer and the weather conditions, including: Comparing the predicted load condition with the actual load value to obtain a load prediction error, determining an indicator of the equipment health status according to the operating status of the step-down transformer, and determining the impact of weather conditions according to the weather conditions; Based on a weighted comprehensive score calculation formula, a risk index is calculated according to the load forecast error and the equipment health status index, as well as the influence of weather conditions, and a risk assessment is performed on the safe operation of the power system to be assessed according to the risk index; The weighted comprehensive score calculation formula is: ； in, is a risk indicator, is the load forecast error, An indicator of the health status of the device. Due to the influence of weather conditions, , , is the weight of each factor.

7. The method for risk assessment of safe operation of power system under extreme weather conditions according to claim 6 is characterized in that: The risk assessment of the safe operation of the power system to be assessed according to the risk indicators comprises: The risk index is matched with the risk value corresponding to the preset risk index level to obtain the risk level of the power system operation to be evaluated.

8. A safe operation risk assessment system for power systems under extreme weather conditions, characterized in that: include: A first acquisition unit is used to acquire weather data of the area where the power system to be evaluated is located, and obtain weather conditions that may affect the power system based on analysis of the weather data; A second acquisition unit is used to acquire comprehensive operation data of each transformer in the power system to be evaluated, wherein the comprehensive operation data includes: load data and operation data; a prediction unit, configured to predict the load condition of the step-down transformer according to the load data, and to evaluate the operating state of the step-down transformer according to the operating data; The evaluation unit is used to perform risk evaluation on the safe operation of the power system to be evaluated in combination with the load condition and the operating state of the step-down transformer and the weather conditions.

9. A device for assessing the safe operation risk of power systems under extreme weather conditions, characterized in that: The device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the method for assessing the safe operation risks of a power system under extreme weather conditions as described in any one of claims 1 to 7 according to the instructions in the program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program code, and the program code is used to execute the method for assessing the safe operation risk of an electric power system under extreme weather conditions as described in any one of claims 1 to 7.

Images