A power supply station digital operation and maintenance method and system, a storage medium and a program product

Abstract

A power supply station digital operation and maintenance method and system, a storage medium and a program product, relate to the field of digital data processing, and in the method, meteorological grade data is determined; an adjustment strategy of a device operating parameter is determined according to the meteorological grade; the rated operating parameter and the protection setting value of the device are reduced in time periods according to the adjustment strategy; the operating state parameter of the device is collected, when it is detected that the operating state parameter exceeds the adjusted rated operating parameter, the standby capacity is calculated; the standby device is started to the operating state parameter below the adjusted rated operating parameter according to the standby capacity; the difference value of the operating state parameters between adjacent devices is calculated, when the difference value of the operating state parameters exceeds a preset range, a target adjustment amount is determined based on the difference value of the operating state parameters; the rated operating parameter of each device is adjusted according to the target adjustment amount, so that the difference value of the operating state parameters is maintained within the preset range. The application improves the operation reliability and fault prediction accuracy of the power supply station device under extreme weather conditions.

Description

Technical Field

[0001] This application belongs to the field of electrical digital data processing, and in particular relates to a digital operation and maintenance method, system, storage medium and program product for power supply stations. Background Technology

[0002] With the rapid development of power systems and the advancement of smart grid construction, power supply stations, as a crucial link in power distribution, directly impact the reliability and security of power supply through the efficiency and quality of their operation and maintenance. Traditional power supply station operation and maintenance methods mainly rely on manual inspections and records, which are not only inefficient but also prone to missed or incorrect inspections, making it difficult to promptly identify and address potential equipment hazards. Furthermore, manually recorded data suffers from inaccuracies and difficulties in retrieval.

[0003] In related technologies, high-precision sensor networks can be deployed to collect equipment operation data in real time. Combined with edge computing technology, data preprocessing and feature extraction are performed. Deep learning algorithms are used to establish equipment health status assessment models, which realizes intelligent identification of abnormal equipment operating conditions and accurate prediction of fault occurrence probability, greatly improving the intelligence level of power supply station operation and maintenance and the accuracy of fault early warning.

[0004] However, under extreme weather conditions such as heavy rain and lightning, the system struggles to adapt quickly to the drastic fluctuations in equipment performance. The pre-trained fault prediction model shows a significant decrease in prediction accuracy in such scenarios, and the system lacks a rapid response mechanism to short-term drastic changes in equipment performance caused by weather changes. This makes it difficult to adjust maintenance strategies and operating parameters in a timely manner when extreme weather occurs, increasing the risk of equipment failure and power outages. Summary of the Invention

[0005] This application provides a digital operation and maintenance method, system, storage medium, and program product for power supply stations, which can improve the operational reliability and fault prediction accuracy of power supply station equipment under extreme weather conditions.

[0006] Firstly, this application provides a digital operation and maintenance method for power supply stations, which classifies the collected meteorological data within the power supply station area into meteorological level data, which includes meteorological level and corresponding trigger threshold.

[0007] Based on the trigger thresholds corresponding to the weather level, determine the adjustment strategy for equipment operating parameters;

[0008] According to the adjustment strategy, the rated operating parameters and protection settings of the equipment are reduced in stages. The rated operating parameters include rated voltage, rated current and rated load, and the protection settings include overcurrent protection settings, overvoltage protection settings and temperature rise protection settings.

[0009] collecting an operating state parameter of the device, calculating a backup capacity when the operating state parameter exceeds an adjusted rated operating parameter;

[0010] starting the backup device according to the backup capacity when the operating state parameter falls below the adjusted rated operating parameter;

[0011] calculating a difference between operating state parameters of adjacent devices, determining a target adjustment amount based on the difference between operating state parameters when the difference between operating state parameters exceeds a preset range;

[0012] adjusting the rated operating parameter of each device according to the target adjustment amount to maintain the difference between operating state parameters within the preset range.

[0013] By adopting the above technical solution, the correlation mechanism between weather conditions and device operating parameters is established by grading the weather data and setting the trigger threshold. On this basis, the rated operating parameter and the protection setting value of the device are reduced according to the adjustment strategy in different time periods, so that the device can maintain safe and stable operation under different weather conditions. When the operating state parameter of the device exceeds the adjusted rated operating parameter, the system can calculate the backup capacity and start the backup device in time to avoid overloading of the device. By calculating the difference between operating state parameters of adjacent devices and dynamically adjusting, the load distribution of each device is more balanced, reducing the device wear caused by uneven load distribution, enabling the power supply device to adaptively adjust the operating state according to the actual operating environment, improving the power supply reliability, reducing the device failure rate, and improving the device service life and operating efficiency.

[0014] In combination with some embodiments of the first aspect, in some embodiments, the collected weather data in the power supply area is graded to obtain weather grade data, specifically including:

[0015] Collecting weather data in the power supply area, the weather data including temperature, humidity, wind speed, precipitation, and lightning current density data;

[0016] Comparing the weather data with the preset device safe operation standard, when the data in the weather data exceeds the corresponding preset device safe operation standard, determining the influence coefficient of the corresponding data as a first preset value, otherwise determining the influence coefficient of the data as a second preset value;

[0017] Determining the weather grade according to the number of influence coefficients with the first preset value, when the number of influence coefficients with the first preset value is not greater than a first threshold, the weather grade is a light weather grade, when the number of influence coefficients with the first preset value is not greater than a second threshold and greater than the first threshold, the weather grade is a moderate weather grade, and when the number of influence coefficients with the first preset value is greater than the second threshold, the weather grade is a severe weather grade;

[0018] The triggering threshold corresponding to each meteorological grade is determined according to historical equipment failure rates under each meteorological grade.

[0019] By adopting the technical scheme, the temperature, humidity, wind speed, precipitation and lightning current density and other multi-dimensional meteorological data are collected, and are compared with the preset equipment safe operation standard, and the influence coefficients of different meteorological factors are calculated. According to the number of influence coefficients being the first preset value, the meteorological conditions are divided into three grades of light, medium and heavy, and the triggering threshold is determined in combination with the historical equipment failure rate, the influence degree of different meteorological factors on the equipment operation is accurately quantified, and the division of meteorological grades is more scientific and reasonable. At the same time, the triggering threshold is determined by analyzing the historical failure data, the correlation between the meteorological grade and the actual operation condition of the equipment is established, and the equipment failure caused by the meteorological factor can be better prevented.

[0020] In combination with some embodiments of the first aspect, in some embodiments, according to the triggering threshold corresponding to the meteorological grade, an adjustment strategy of the equipment operation parameter is determined, specifically including:

[0021] The adjustment proportion of the equipment operation parameter is determined according to the triggering threshold in the meteorological grade;

[0022] The target operation parameter value and the corresponding protection setting value are calculated according to the adjustment proportion, and the protection setting value includes the overcurrent protection setting value, the overvoltage protection setting value and the temperature rise protection setting value;

[0023] The adjustment process from the rated operation parameter value to the target operation parameter value is divided into multiple time periods, and the operation parameter adjustment amount in each time period is calculated;

[0024] The adjustment strategy of the equipment operation parameter is generated, and the adjustment strategy includes the adjustment proportion, the target operation parameter value and the corresponding protection setting value and the operation parameter adjustment amount in each time period.

[0025] By adopting the technical scheme, the adjustment proportion of the equipment operation parameter is determined based on the triggering threshold corresponding to the meteorological grade, the target operation parameter value and the protection setting value are calculated, and the adjustment process is divided into multiple time periods, and a complete adjustment strategy including the adjustment proportion, the target parameter value and the adjustment amount in each time period is generated. This gradual parameter adjustment method avoids the impact of parameter mutation on the equipment, so that the equipment can smoothly transition to a new operating state. By synchronously adjusting the operation parameter and the protection setting value, the safety of the equipment in the adjustment process is ensured, and the reliability of the protection device is maintained, the equipment stress loss is reduced, and the stability of the equipment adjustment process is improved.

[0026] In combination with some embodiments of the first aspect, in some embodiments, when it is detected that the operation state parameter exceeds the adjusted rated operation parameter, a backup capacity is calculated, specifically including:

[0027] The adjusted rated operation parameter is taken as the device operation upper limit value;

[0028] A difference value between the operation state parameter and the device operation upper limit value is calculated;

[0029] A total capacity required by the current load is calculated according to the difference value;

[0030] An actual available capacity of the current running device is calculated;

[0031] A difference value between the total capacity and the actual available capacity is determined as a backup capacity.

[0032] By adopting the above technical solution, the adjusted rated operation parameter is taken as the device operation upper limit value, the difference value between the operation state parameter and the upper limit value is calculated, the total capacity required by the current load is calculated in combination with the current load demand, and the backup capacity is determined by comparison with the actual available capacity, so that the enabling time of the backup device is more accurate. By calculating the load demand and the available capacity in real time, the system can timely identify the situation of insufficient device capacity, ensure that the backup device can be put into operation at the most appropriate time, avoid the problems of device overload operation or excessive configuration of backup capacity, and improve the operation efficiency and reliability of the power supply system.

[0033] In combination with some embodiments of the first aspect, in some embodiments, when the operation state parameter difference value exceeds a preset range, a target adjustment amount is determined based on the operation state parameter difference value, specifically including:

[0034] A deviation amount is calculated according to the operation state parameter difference value and an adjustment ratio;

[0035] A product of the deviation amount and the adjusted rated operation parameter is determined as the target adjustment amount.

[0036] By adopting the above technical solution, the deviation amount is calculated according to the operation state parameter difference value and the adjustment ratio, and the product of the deviation amount and the adjusted rated operation parameter is determined as the target adjustment amount, so that the imbalance degree of the operation state between adjacent devices can be accurately quantified. The introduction of the target adjustment amount provides specific numerical guidance for precise adjustment of the device operation parameter, avoids the problems of excessive adjustment or insufficient adjustment, the system can timely respond to the changes of the device operation state, promote the balance of the load distribution of each device, reduce the local overload phenomenon caused by uneven load distribution between devices, and improve the overall operation stability and reliability of the power supply system.

[0037] In combination with some embodiments of the first aspect, in some embodiments, after the rated operation parameters of each device are adjusted according to the target adjustment amount, so that the operation state parameter difference value is maintained within the preset range, the method further includes:

[0038] A running time difference value between adjacent devices is calculated;

[0039] Statistical temperature rise rate of each device and load fluctuation amplitude;

[0040] According to the running time difference, the temperature rise rate and the load fluctuation amplitude to determine the device switching opportunity;

[0041] When detecting the device switching opportunity, mark the corresponding device as a device to be switched;

[0042] According to the standby capacity, the device to be switched is rotated and operated.

[0043] By adopting the above technical scheme, the running time difference between adjacent devices is calculated, and the temperature rise rate and the load fluctuation amplitude are combined to determine the device switching opportunity, so that the system can comprehensively evaluate the running state of the device from multiple dimensions. When the system detects the switching opportunity, the corresponding device is marked as a device to be switched, and combined with the standby capacity for rotation operation, it can prevent the device from being in a high load running state for a long time, and reduce the risk of excessive wear and tear of the device. By reasonably allocating the running time of the device, the system realizes the dynamic balance of the device load, prolongs the service life of the device, and improves the operation efficiency and reliability of the power supply system.

[0044] In combination with some embodiments of the first aspect, in some embodiments, the device to be switched is rotated and operated according to the standby capacity, specifically including:

[0045] Record the cumulative running time and the fault occurrence period of the device to be switched;

[0046] Statistical load utilization rate corresponding to the fault occurrence period;

[0047] According to the cumulative running time and the load utilization rate, calculate the wear coefficient of the device;

[0048] Based on the wear coefficient, the device to be switched is prioritized;

[0049] According to the priority and the standby capacity, generate a rotation operation time table, and rotate and operate according to the rotation operation time table, the rotation operation time table including switching time points, switching sequence and transition adjustment parameters.

[0050] By adopting the technical scheme, the cumulative running time length and the fault occurrence period of the to-be-switched device are recorded, the load utilization rate corresponding to the fault occurrence period is counted, and then the device wear coefficient is calculated. The to-be-switched device is prioritized based on the wear coefficient, and a rotating operation schedule including a switching time point, a switching sequence and a transition adjustment parameter is generated according to the priority and the standby capacity, so that the system can perform orderly device rotation, the use intensity of the device can be more balanced, the problem that an individual device is accelerated in aging due to excessive use is avoided, the device load is reasonably distributed, the use efficiency of the device is improved, the maintenance cost is reduced, and the long-term stable operation of the power supply system is ensured.

[0051] In a second aspect, the embodiments of the present application provide a power supply station digital operation and maintenance system, which comprises one or more processors and a memory; the memory is coupled with the one or more processors, and is used for storing computer program codes, the computer program codes comprising computer instructions, and the one or more processors invoke the computer instructions to enable the system to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0052] In a third aspect, the embodiments of the present application provide a computer readable storage medium comprising instructions, which, when executed on a system, cause the system to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0053] In a fourth aspect, the embodiments of the present application provide a computer program product, which, when executed on a system, causes the system to perform the method described in any possible implementation manner of the first aspect.

[0054] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0055] 1. The present application provides a power supply station digital operation and maintenance method, which establishes an association mechanism between weather conditions and device operation parameters by grading weather data and setting trigger thresholds. On this basis, the rated operation parameters and protection settings of the device are reduced according to the adjustment strategy in different time periods, so that the device can maintain safe and stable operation under different weather conditions. When the device operation state parameter exceeds the adjusted rated operation parameter, the system can calculate the standby capacity in time and start the standby device to avoid overloading of the device. By calculating the difference between the operation state parameters of adjacent devices and dynamically adjusting, the load distribution of each device is more balanced, the device wear caused by uneven load is reduced, the power supply station device can adaptively adjust the operation state according to the actual operating environment, the power supply reliability is improved, the device failure rate is reduced, and the service life and operation efficiency of the device are improved.

[0056] 2. The power supply station digital operation and maintenance method provided by the application determines the equipment switching time by calculating the runtime difference between adjacent equipment and combining the temperature rise rate and load fluctuation amplitude, so that the system can comprehensively evaluate the running state of the equipment from multiple dimensions. When the system detects the switching time, the corresponding equipment is marked as a standby equipment, and the standby capacity is combined for rotation operation, which can prevent the equipment from being in a high load running state for a long time and reduce the risk of excessive wear of the equipment. By reasonably allocating the equipment running time, the system realizes the dynamic balance of the equipment load, prolongs the service life of the equipment, and improves the operation efficiency and reliability of the power supply system.

[0057] 3. The power supply station digital operation and maintenance method provided by the application records the cumulative running time and fault occurrence period of the standby equipment, and counts the load utilization rate corresponding to the fault occurrence period, and then calculates the equipment wear coefficient. Based on the wear coefficient, the standby equipment is prioritized, and a rotation operation time table containing the switching time point, switching sequence and transition adjustment parameter is generated according to the priority and standby capacity, so that the system can perform orderly equipment rotation, which can make the use intensity of the equipment more balanced, avoid the problem of accelerated aging of individual equipment due to excessive use, realize reasonable allocation of equipment load, improve the use efficiency of the equipment, reduce maintenance cost, and ensure long-term stable operation of the power supply system. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a flowchart of a power supply station digital operation and maintenance method in an embodiment of the application.

[0059] Figure 2 is a flowchart of a rotation operation method based on the running state of the equipment in an embodiment of the application.

[0060] Figure 3 is an entity device structure diagram of a power supply station digital operation and maintenance system provided by an embodiment of the application. DETAILED DESCRIPTION

[0061] The terms used in the following embodiments of the application are only for the purpose of describing the specific embodiments and are not intended to be limiting to the application. As used in the specification and the appended claims of the application, the singular forms "a," "an," and "the" are intended to include both singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or" used in the application means any or all possible combinations of one or more of the listed items.

[0062] Hereinafter, the terms "first", "second", "third", etc. are used only for the purpose of description, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0063] The following will be described by using an embodiment and in combination with Figure 1 An embodiment of a power supply station digital operation and maintenance method is described.

[0064] Please refer to Figure 1 A flowchart of an embodiment of a power supply station digital operation and maintenance method is shown.

[0065] S101, grade division is performed on the collected meteorological data in the power supply station area.

[0066] The system performs grade division on the collected meteorological data in the power supply station area to obtain meteorological grade data, which includes meteorological grades and corresponding trigger thresholds. Specifically, meteorological data in the power supply station area is collected, including temperature, humidity, wind speed, precipitation, and lightning current density data. The meteorological data is compared with the preset device safe operation standard. When the data in the meteorological data exceeds the corresponding preset device safe operation standard, the influence coefficient of the corresponding data is determined as a first preset value, otherwise the influence coefficient of the data is determined as a second preset value. The meteorological grade is determined according to the number of influence coefficients with the first preset value. When the number of influence coefficients with the first preset value is not greater than a first threshold, the meteorological grade is a light meteorological grade. When the number of influence coefficients with the first preset value is not greater than a second threshold and greater than the first threshold, the meteorological grade is a moderate meteorological grade. When the number of influence coefficients with the first preset value is greater than the second threshold, the meteorological grade is a severe meteorological grade. The trigger threshold corresponding to each meteorological grade is determined according to the historical device failure rate under each meteorological grade.

[0067] This step is to analyze and classify the meteorological data collected in the power supply station area. The system can collect multi-dimensional meteorological data such as temperature, humidity, wind speed, precipitation, and lightning current density in the power supply station area in real time through various meteorological monitoring devices and sensors. After obtaining the meteorological data, the system compares the meteorological data with the preset device safe operation standard to determine whether each meteorological parameter exceeds the threshold range of the normal operation of the device. The meteorological parameters exceeding the threshold can be assigned a higher influence coefficient, and the non-exceeding ones are assigned a lower influence coefficient. The system can also set multiple influence coefficient levels to more finely assess the influence degree of meteorological conditions.

[0068] According to the influence coefficient of meteorological parameters, the system can divide different meteorological grades, such as light, moderate, severe, etc., and each grade corresponds to a certain range of influence coefficient threshold. In addition, the system can also analyze historical data to calculate the probability of equipment failure under each meteorological grade, and determine the trigger threshold of each meteorological grade. When the meteorological conditions reach this level, it is likely to cause equipment failure, and the operating parameters need to be adjusted in time.

[0069] S102、According to the trigger threshold corresponding to the meteorological grade, determine the adjustment strategy of the equipment operating parameter;

[0070] The system determines the adjustment strategy of the equipment operating parameter according to the trigger threshold corresponding to the meteorological grade. Specifically, the adjustment ratio of the equipment operating parameter is determined according to the trigger threshold in the meteorological grade; the target operating parameter value and the corresponding protection setting value are calculated according to the adjustment ratio, including the overcurrent protection setting value, the overvoltage protection setting value and the temperature rise protection setting value; the adjustment process from the rated operating parameter value to the target operating parameter value is divided into multiple time periods, and the operating parameter adjustment amount in each time period is calculated; the adjustment strategy of the equipment operating parameter is generated, including the adjustment ratio, the target operating parameter value and the corresponding protection setting value and the operating parameter adjustment amount in each time period.

[0071] This step is to formulate the corresponding equipment operating parameter adjustment strategy according to the meteorological grade and trigger threshold determined in the previous step. The system needs to adjust the operating load of the equipment accordingly to reduce the risk of failure according to the possible impact of different meteorological grades. The trigger threshold can be used as a basis for determining whether to start adjustment.

[0072] The system can establish a corresponding relationship table between the meteorological grade and the equipment operating parameter adjustment ratio, and query the adjustment ratio according to the current meteorological grade. Then multiply the rated voltage, current, load and other operating parameters of the equipment by the adjustment ratio to calculate the target operating parameter value. At the same time, the threshold values of overcurrent, overvoltage, temperature rise and other protection setting values also need to be adjusted accordingly to match the reduced operating level.

[0073] Considering that sudden changes in equipment operating parameters may bring other risks, the system can adopt a gradual adjustment strategy. That is, the entire adjustment process is divided into multiple time periods, and only a certain amplitude is adjusted in each time period, and the target value is finally reached through multiple small adjustments. The system needs to plan the parameter adjustment amount in each time period. The adjustment strategy needs to clarify the time arrangement, the phased adjustment ratio, the target parameter value, the corresponding protection setting value and other elements.

[0074] S103、According to the adjustment strategy, reduce the rated operating parameters and protection setting values of the equipment in time periods;

[0075] The system reduces the rated operating parameters and protection settings of the device according to the adjustment strategy in time periods, the rated operating parameters include rated voltage, rated current and rated load, and the protection settings include overcurrent protection settings, overvoltage protection settings and temperature rise protection settings.

[0076] This step is the process of executing the device operating parameter adjustment strategy prepared in the previous step. The system needs to strictly follow the time schedule and adjustment amplitude specified in the adjustment strategy to gradually reduce the key operating parameters such as rated voltage, rated current and rated load of the device. At the same time, the trigger thresholds of overcurrent, overvoltage and temperature rise protection functions are adjusted correspondingly to ensure that the protection actions match the reduced operating intensity, so as to avoid premature or late triggering and lose significance.

[0077] Specific parameter writing and protection setting modification can be completed by issuing instructions remotely through the communication interface or field bus gateway of the device. To ensure controllability of the adjustment process, the system also needs to monitor the operating state of each device in real time, obtain the current value of each parameter, compare it with the target value of the adjustment strategy, understand the adjustment progress, and if necessary, fine-tune the strategy accordingly.

[0078] The entire adjustment process needs to follow certain rules, such as the adjustment sequence of different types of devices, the coordination between associated devices, the rationality of adjustment frequency and step size, etc. For example, for multiple transformers with cascading relationship, the adjustment sequence needs to be from top to bottom, and the voltage level on the upper side needs to be reduced first; the adjustment pace of the generator and the transformer in the unit needs to be consistent to avoid mismatch leading to overload and other problems.

[0079] S104, collecting operating state parameters of the device, and calculating the standby capacity when it is detected that the operating state parameters exceed the adjusted rated operating parameters;

[0080] The system collects the operating state parameters of the device, and calculates the standby capacity when it is detected that the operating state parameters exceed the adjusted rated operating parameters. Specifically, the adjusted rated operating parameters are taken as the upper limit of device operation; the difference between the operating state parameters and the upper limit of device operation is calculated; the total capacity required by the current load is calculated according to the difference; the actual available capacity of the current operating device is calculated; and the difference between the total capacity and the actual available capacity is determined as the standby capacity.

[0081] This step is the process of monitoring the actual operating state of the device after the adjustment of the device operating parameters, judging whether overload occurs, and then determining the required standby capacity. The system needs to continuously collect real-time operating parameters of the device through telemetry or Internet of Things devices, including voltage, current, active power, reactive power, etc. The measured operating parameters are compared with the adjusted rated limit to judge whether there is an exceeding situation. Once it is found that the actual operating parameters exceed the adjusted rated value, it means that the current load has exceeded the transmission capacity of the device after derating, and standby devices need to be called to support.

[0082] The system needs to determine the required backup capacity through calculation. The difference between the measured operating parameters and the adjusted rated value can be used as the overload amount, by which the total capacity requirement of the current load is estimated. On the other hand, the system needs to know the actual available capacity of the current operating equipment, i.e. the maximum power that the equipment such as transformers and lines can actually deliver considering the adjusted rated value. The difference between the two is the support capacity that needs to be obtained from the backup equipment.

[0083] S105, start the backup equipment to the operating state parameter below the adjusted rated operating parameter according to the backup capacity;

[0084] This step is to enable the backup equipment to provide support for the equipment that has exceeded the adjusted rated value, so as to restore it to a safe operating level according to the calculated required backup capacity. The system needs to select the corresponding transformers, generator sets, lines, etc. from the backup equipment resource pool according to the required backup capacity, and issue a start command to put them into operation.

[0085] The access of backup equipment needs to be coordinated with the main equipment. For example, when the backup line is connected in parallel with the main line, the reactive power output of the backup line needs to be controlled to adjust its power factor and form a reasonable reactive power distribution with the main line, rather than simply adding active power. The system also needs to select the access mode and working point of the backup equipment according to different types of parameters of the main equipment exceeding the rated value, so as to appropriately meet the capacity gap requirement of the main equipment.

[0086] With the continuous access of backup equipment, the operating state parameters should gradually fall back. The system needs to monitor the change trend of the operating parameters of each device in real time, and when it is observed that the operating parameters stably fall below the adjusted rated value, it can be judged that the backup capacity has met the requirement, and the addition of backup equipment is stopped. At the same time, the system can also consider withdrawing from operation the part of the backup equipment that is no longer needed, in order to optimize the backup resource allocation and improve the utilization efficiency.

[0087] S106, calculate the difference between the operating state parameters of adjacent devices, and when the difference between the operating state parameters exceeds a preset range, determine a target adjustment amount based on the difference between the operating state parameters;

[0088] The system calculates the difference between the operating state parameters of adjacent devices, and when the difference between the operating state parameters exceeds a preset range, determines a target adjustment amount based on the difference between the operating state parameters. Specifically, the deviation is calculated according to the difference between the operating state parameters and the adjustment ratio; and the product of the deviation and the adjusted rated operating parameter is determined as the target adjustment amount.

[0089] This step is to determine whether the corresponding adjustment of the operating level is needed by comparing and analyzing the operating state parameters between adjacent devices to assess whether they match each other. In a complex power grid, there is often mutual influence of power flow, voltage, and load between adjacent devices. If the parameters of adjacent devices differ too much, it may cause the device on one side to exceed the normal operating range and increase the risk of failure. Therefore, the parameter difference between adjacent devices needs to be calculated in real time to determine whether it is within the allowed range.

[0090] The system can pre-set a reasonable difference range for various device parameters, such as bus voltage difference, active power difference of adjacent lines, current load matching degree of associated transformers, and other indicators. Only when the actual operating parameter difference exceeds the pre-set range, it is considered that there is a significant mismatch between devices, which needs to be eliminated by adjusting the device parameters.

[0091] The size of the adjustment amount can be calculated based on the parameter difference and the adjustment ratio. The larger the difference, the greater the adjustment range needed. The adjustment ratio reflects the direction and sensitivity of the parameter change. By statistical analysis of historical data, a corresponding relationship between various parameter differences and adjustment ratios can be formed. When a parameter difference occurs, the corresponding adjustment ratio is obtained by looking up the table, and then multiplied by the difference to obtain the absolute adjustment amount. This adjustment amount serves as the basis for the execution of subsequent control instructions.

[0092] S107, adjust the rated operating parameters of each device according to the target adjustment amount, so that the operating state parameter difference is maintained within the pre-set range.

[0093] This step is to execute the device parameter adjustment amount calculated in the previous step to return the operating parameter matching degree between adjacent devices to a reasonable level. The system increases or decreases the key operating parameters of the device according to the value and direction of the adjustment amount. The adjustment objects can include rated voltage, rated current, active power, reactive power, and other parameters. The selection of specific parameters depends on the main contradiction involved in the mismatch phenomenon and the influence mechanism analysis.

[0094] The adjustment of device parameters is realized by issuing control instructions to devices through field bus gateways or communication protocol interfaces. To ensure smooth adjustment process and avoid drastic fluctuations in parameters causing secondary failures, the system can use a gradual adjustment strategy, i.e. the entire adjustment amount is dispersed over a period of time, and only a small adjustment instruction is issued each time. After the device completes the adjustment action, the system needs to obtain the execution feedback of the adjustment instruction, measure the operating parameter difference again, verify the adjustment effect, and perform the next round of parameter fine-tuning as needed.

[0095] Through continuous multiple rounds of adjustment, the difference value of the operating parameters of adjacent devices is continuously converged, and finally stabilized in a pre-set reasonable range, that is, the control target of matching the device parameters is achieved. This process may need multiple iterations of optimization in multiple control cycles.

[0096] In addition, during the parameter adjustment process, there may be a situation of multiple devices being mismatched at the same time. The system needs to reasonably determine the adjustment priority of each device to prevent cross-adjustment from causing the control effect to be discounted. For example, for transformer substations connected by a line, the bus voltage of the transformer substation close to the power supply side should be adjusted first to control the mismatch problem within a local range as much as possible. Through reasonable allocation of device parameters, the consistency of device operating states and the overall balance of the power grid are finally achieved.

[0097] In the above embodiment, by grading the meteorological data and setting the trigger threshold, an association mechanism between meteorological conditions and device operating parameters is established. On this basis, the rated operating parameters and protection settings of the devices are reduced according to the adjustment strategy in different time periods, so that the devices can maintain safe and stable operation under different meteorological conditions. When the device operating state parameter exceeds the adjusted rated operating parameter, the system can calculate the standby capacity in time and start the standby device to avoid overloading of the device. By calculating the difference value of the operating state parameters between adjacent devices and dynamically adjusting, the load distribution of each device is more balanced, reducing the device loss caused by unbalanced load, enabling the power supply device to adaptively adjust the operating state according to the actual operating environment, improving the power supply reliability, reducing the device failure rate, and at the same time improving the service life and operating efficiency of the device.

[0098] The above embodiment realizes the intelligent operation and maintenance of the power supply device through meteorological data grading, operating parameter adjustment, and standby device starting. In order to further improve the reliability and economy of device operation, the present application also provides a rotating operation method based on device operating state. The method establishes a scientific device switching mechanism by monitoring key parameters such as device operating time, temperature rise change, and load fluctuation, realizes balanced distribution of device load and effective extension of service life. The following will be described in combination with Figure 2 A rotating operation method based on device operating state in the embodiment of the present application is described:

[0099] Please refer to Figure 2 for a flowchart of a rotating operation method based on device operating state in the embodiment of the present application.

[0100] S201, calculate the operating time difference value between adjacent devices;

[0101] This step involves comparing the cumulative operating time of adjacent equipment to assess whether there are significant differences in their usage intensity and wear level. In actual power supply station operation, multiple devices with the same function are often put into use in rotation. However, due to factors such as scheduling strategies and fault conditions, the actual operating time of each device may not be balanced. If individual devices are in an overdue service state for a long time, their reliability and remaining lifespan will be affected, which is detrimental to the overall safe and economical operation of the equipment. Therefore, it is necessary to collect real-time data on the operating time of the equipment and calculate the difference in operating time between key devices as one of the bases for determining whether to switch equipment.

[0102] The system can obtain equipment runtime data in several ways. First, it can directly read the cumulative operating hours using the equipment's own operating recorder. Second, it can set a running clock in the equipment operation status monitoring system to record the equipment's start and stop times, and then sum the running periods to obtain the total runtime. In addition, for equipment that has undergone maintenance or status changes, it is necessary to verify the maintenance records and deduct downtime periods to ensure the accuracy of the runtime data.

[0103] For critical primary equipment, when calculating the runtime difference, the system can incorporate runtime data from each backup device, taking into account the switching frequency and cumulative duration differences between primary and backup devices. This helps to balance the utilization efficiency and balance of backup devices in the decision-making process for rotational operation.

[0104] S202. Statistically analyze the rate of temperature rise and load fluctuation of each piece of equipment;

[0105] This step involves analyzing the characteristics of key parameter changes during equipment operation to assess the degree of deterioration in operating conditions and load adaptability. The temperature rise level and load fluctuations of equipment are crucial factors affecting its reliability and service life. Excessive temperature rise indicates a decline in equipment insulation levels, while drastic load fluctuations can cause overvoltage and mechanical stress. The combination of these factors accelerates insulation aging and mechanical wear, posing a potential threat to safe equipment operation. Therefore, it is necessary to conduct long-term tracking and statistical analysis of temperature rise changes and load fluctuations for each piece of equipment to understand their patterns and impact, providing data support for determining the appropriate switching timing.

[0106] The system can collect real-time data on key parameters such as top-layer oil temperature, core temperature, and winding temperature of the equipment via online monitoring devices. Using time series analysis methods such as moving average and ARIMA, the rate of temperature rise can be calculated, i.e., the average temperature increase per unit time. This indicator directly reflects the rate of decrease in the equipment's heat dissipation capacity. The system also needs to consider operating parameters such as ambient temperature, load current, and the air-cooling system to analyze the causes of temperature rise changes and the equipment's thermal stability margin.

[0107] For the load fluctuation level of the device, the system can statistically analyze the load monitoring quantities such as current, active power, etc., to obtain key indicators such as frequency, peak-valley difference, and change rate of the load. These indicators reflect the impact of load fluctuation on the device. The system can also introduce frequency spectrum analysis means to investigate the energy distribution of the load on different frequency components, further characterizing the dynamic characteristics of the load.

[0108] S203, determining the device switching time according to the runtime difference, temperature rise rate, and load fluctuation amplitude;

[0109] This step is a process of comprehensively considering the device runtime, temperature rise characteristics, and load fluctuation to evaluate the comprehensive health level of the device and decide the best rotation operation time. Single time length, temperature rise, and load indicators are not enough to fully reflect the state of the device. Only by integrating and analyzing them can the device be accurately judged whether it needs to be switched. The system needs to establish a scientific multi-parameter fusion mechanism, give reasonable weights to each indicator, and form a comprehensive evaluation model of the device state.

[0110] In specific implementation, the system first needs to perform dimensionless processing on each indicator to eliminate the difference in numerical magnitude. Common data normalization methods such as range standardization and Z-score can be used. On this basis, multi-index decision-making methods such as weighted average, PCA, and fuzzy comprehensive judgment can be used to integrate each indicator into a comprehensive health index. The higher the index, the more urgent the device needs to be switched.

[0111] Considering the importance of the rationality of the indicator weight to the evaluation result, the system can use methods such as analytic hierarchy process and entropy weight method to dynamically adjust the weight parameters according to the correlation strength and conflict degree between indicators. Machine learning algorithms can also be used to mine association rules from massive historical operation data to adaptively determine the importance of each parameter.

[0112] Based on the evaluation of the comprehensive health level of the device, the system further needs to determine the specific device switching time window. A health index threshold can be set, and when the index of the device is lower than the threshold, it is considered that the device needs to be switched. The setting of the threshold needs to balance the device reliability and the switching cost, and too high will cause frequent switching, and too low will cause the device to serve beyond the period. In addition, the switching time also needs to consider the cooperativity of the device state to avoid too much standby capacity occupied by simultaneous switching of multiple devices.

[0113] S204, when the device switching time is detected, the corresponding device is marked as a device to be switched;

[0114] This step is the process of switching preparation after the system determines that the equipment meets the switching conditions. The system divides the equipment that reaches the switching opportunity from the current running equipment set to form a list of equipment to be switched, providing an index for subsequent switching operations. The switching mark of the equipment is a prerequisite for the rotation of the equipment, and needs to follow a strict workflow to ensure the traceability of the switching instruction and the consistency of the equipment state.

[0115] In specific implementation, the system adds a switching mark state bit to each device in the device database. Once the comprehensive health index of the device is below the switching threshold, the switching mark is set to true, and the device ID, switching time, and other information are recorded in the list of devices to be switched.

[0116] Once the device is marked as to be switched, the system needs to take a series of supporting measures, such as suspending unnecessary control actions, strengthening device parameter monitoring, and confirming the readiness of standby devices, to clear obstacles for smooth switching.

[0117] It is worth noting that due to the dispersion of field devices and the complexity of communication, the changing process of the device switching mark itself may have abnormal situations such as signal delay and instruction mismatch. To ensure the consistency of the mark state and the physical state of the device, the system can synchronize and verify the switching signaling through time synchronization, CRC, and other mechanisms. And set a time window for mark confirmation, if the readiness confirmation of the device is not received within the window period, it is considered as a failed mark, and the switching process needs to be re-initiated.

[0118] If the health level of the device to be switched reverses after being marked and exceeds the switching threshold again, the system can suspend the switching process of the device. But need to record this repeated phenomenon, analyze its causes, and review the possible blind spots and shortcomings in the decision-making mechanism. Avoid frequent changes in the mark, causing repeated start and stop of the device.

[0119] S205, rotating the running of the standby capacity according to the device to be switched.

[0120] The system rotates the running of the standby capacity according to the device to be switched, which specifically includes: recording the cumulative running time and fault occurrence period of the device to be switched; counting the load utilization rate corresponding to the fault occurrence period; calculating the wear coefficient of the device according to the cumulative running time and the load utilization rate; prioritizing the device to be switched based on the wear coefficient; generating a rotation running schedule according to the priority and the standby capacity, and rotating the running according to the rotation running schedule. The rotation running schedule includes switching time points, switching sequence, and transition adjustment parameters.

[0121] In specific implementation, the system first needs to record the cumulative running time and historical failure conditions of each device to be switched. These data can be collected through the device's own sensors and monitoring system, or obtained from the MES, ERP, and other production management systems. The time, frequency, and duration of failures need to be recorded in detail. At the same time, in order to evaluate the load intensity of the device when the failure occurs, it is also necessary to collect data such as process parameters and production during the failure period, and calculate the load utilization rate.

[0122] Next, the system needs to calculate the wear coefficient of each device based on the above data, to quantify the current health level of the device. The calculation formula of the wear coefficient is as follows:

[0123] W = a × T + b × L

[0124] Where W represents the wear coefficient, T represents the cumulative running time, L represents the load utilization rate, and a and b are weight coefficients. This formula takes into account the effects of running time and load intensity on device wear, and the weight coefficients a and b can be pre-set according to device type, material, historical experience, etc., or fitted from historical data through machine learning algorithms. The cumulative running time T can be directly accumulated from the running record.

[0125] With the wear coefficient of each device, the system can prioritize all devices to be switched accordingly. The larger the wear coefficient, the longer the device has been running or the higher the load, the greater the risk of continued use, and it should be prioritized for switching. Therefore, the switching priority of the device can be simply determined in the order of wear coefficient from large to small. Of course, if the device itself has other failure signs, such as abnormal temperature, vibration, etc., its priority should also be adjusted.

[0126] Finally, the system needs to consider the device priority and actual production demand to develop a switching schedule. The switching schedule should include the time point of each switching, the order of switching in and out of the device, and the transition adjustment parameters during the switching process. The determination of the switching time point needs to consider the start-up time of the standby device, the safety margin of the switching process, and other factors to avoid production interruption or quality fluctuations. The switching order needs to take into account the processing capacity of the standby device based on the device priority to ensure that the total capacity after switching meets the production index. The transition adjustment parameters are to ensure the continuity of process parameters before and after switching, such as the gradual change rate of temperature, pressure, flow, etc., to reduce product quality and equipment wear. These adjustment parameters can be pre-set according to the process flow and device characteristics, or obtained through simulation optimization or field experience summary.

[0127] It should be noted that when actually performing switching, the system should also monitor the equipment running state and product quality in real time, and dynamically optimize and adjust the switching scheme according to the feedback data. For example, if the standby equipment after switching appears abnormal, it may need to terminate its operation in advance and enable the next equipment. If the production index fluctuates greatly, it may need to slow down the switching pace or adjust the transition parameters. This requires that the rotation operation schedule has certain flexibility and real-time optimization capability, and can adapt to the complex and changeable production environment.

[0128] In the above embodiment, the running time difference between adjacent equipment is calculated, and the temperature rise change rate and load fluctuation amplitude are combined to determine the equipment switching time, so that the system can comprehensively evaluate the running state of the equipment from multiple dimensions. When the system detects the switching time, the corresponding equipment is marked as a switching equipment, and the standby capacity is combined for rotation operation, which can prevent the equipment from being in a high load running state for a long time, and reduce the risk of excessive wear of the equipment. By reasonably allocating the equipment running time, the system realizes the dynamic balance of the equipment load, prolongs the service life of the equipment, and improves the operation efficiency and reliability of the power supply system.

[0129] The system in the embodiment of the present application will be described from the perspective of hardware processing. Please refer to Figure 3 , which is a physical device structure diagram of a power supply digital operation and maintenance system provided by the embodiment of the present application.

[0130] It should be noted that, Figure 3 The structure of the system shown is only an example, and should not bring any limitation to the function and use range of the embodiment of the present application.

[0131] As Figure 3 shown, the system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 302 or programs loaded from a storage portion 308 to a random access memory (RAM) 303, such as performing the method in the above embodiment. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0132] The following components are connected to the I / O interface 305: an input section 306 including a camera, a microphone, and the like; an output section 307 including a liquid crystal display (LCD), a speaker, and the like; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, and the like. The communication section 309 performs a communication process via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as necessary. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is attached to the drive 310 as necessary, so that a computer program read out therefrom is installed in the storage section 308 as necessary.

[0133] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication section 309, and / or installed from the removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present application are executed.

[0134] It should be noted that the computer-readable medium in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or apparatus. In the present application, the computer-readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer-readable computer programs. Such a propagated data signal can take many forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above.

[0135] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code containing one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders than that shown in the drawings. For example, two blocks that are shown in succession can actually be executed substantially in parallel, and sometimes in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams or flowcharts, and the combination of blocks in the block diagrams or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0136] As another aspect, the present application also provides a computer readable storage medium, which can be included in the system described in the above embodiments, or can exist independently without being assembled into the system. The above storage medium carries one or more computer programs, which, when executed by a processor of a system, enable the system to implement the method provided in the above embodiments.

[0137] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still make modifications to the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0138] In the above embodiments, according to the context, the term "when" can be interpreted as "if" or "after" or "in response to determining" or "in response to detecting". Similarly, according to the context, the phrase "upon determining" or "if detecting (the stated condition or event)" can be interpreted as "if determining" or "in response to determining" or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)".

[0139] In the above embodiments, all or some of the steps can be implemented by using software, hardware, firmware or any combination thereof. When implemented by using software, all or some of the steps can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded into and executed by a computer, all or some of the steps as described in the embodiments of the present application are performed. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatuses. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (for example, coaxial cable, optical fiber, digital subscriber line) or wireless (for example, infrared, wireless, microwave, etc.) manner. The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available medium can be a magnetic medium (for example, floppy disk, hard disk, magnetic tape), an optical medium (for example, DVD), or a semiconductor medium (for example, solid state disk), etc.

[0140] Those skilled in the art can understand that all or part of the processes in the above-mentioned method embodiments can be implemented by a computer program instructing relevant hardware to complete, the program can be stored in a computer readable storage medium, and the program can include the processes of the above-mentioned method embodiments when executed. The aforementioned storage medium includes ROM or random storage memory RAM, magnetic disc or optical disc and various storage code medium.

Claims

1. A digital operation and maintenance method for power supply stations, characterized in that, include: The collected meteorological data within the power supply station area is classified into meteorological level data, which includes meteorological level and corresponding trigger threshold. Specifically, it includes collecting meteorological data within the power supply station area, including temperature, humidity, wind speed, precipitation and lightning current density data. The meteorological data is compared with the preset equipment safety operation standards. When the data in the meteorological data exceeds the corresponding preset equipment safety operation standards, the influence coefficient of the corresponding data is determined as the first preset value; otherwise, the influence coefficient of the data is determined as the second preset value. The weather level is determined based on the number of times the influence coefficient is equal to the first preset value. When the number of times the influence coefficient is equal to the first preset value is not greater than a first threshold, the weather level is a mild weather level. When the number of times the influence coefficient is equal to the first preset value is not greater than a second threshold but is greater than the first threshold, the weather level is a moderate weather level. When the number of times the influence coefficient is equal to the first preset value is greater than the second threshold, the weather level is a severe weather level. The trigger threshold corresponding to each meteorological level is determined based on the historical equipment failure rate under each meteorological level. Based on the trigger threshold corresponding to the meteorological level, determine the adjustment strategy for the equipment operating parameters; According to the adjustment strategy, the rated operating parameters and protection settings of the equipment are reduced in stages. The rated operating parameters include rated voltage, rated current and rated load, and the protection settings include overcurrent protection settings, overvoltage protection settings and temperature rise protection settings. Collect the operating status parameters of the equipment, and calculate the standby capacity when the operating status parameters exceed the adjusted rated operating parameters; Start the backup equipment according to the stated backup capacity until the stated operating status parameters drop below the adjusted rated operating parameters; Calculate the difference in operating status parameters between adjacent devices; when the difference in operating status parameters exceeds a preset range, determine the target adjustment amount based on the difference in operating status parameters. Adjust the rated operating parameters of each device according to the target adjustment amount, so that the difference in the operating status parameters is maintained within the preset range.

2. The method according to claim 1, characterized in that, The strategy for determining the adjustment of equipment operating parameters based on the trigger threshold corresponding to the meteorological level specifically includes: The adjustment ratio of the equipment operating parameters is determined based on the trigger threshold in the meteorological level. The target operating parameter values ​​and corresponding protection settings are calculated based on the adjustment ratio. The protection settings include overcurrent protection settings, overvoltage protection settings, and temperature rise protection settings. The process of adjusting the rated operating parameter value to the target operating parameter value is divided into multiple time periods, and the adjustment amount of the operating parameter in each time period is calculated; An adjustment strategy for generating equipment operating parameters is provided, the adjustment strategy including the adjustment ratio for each time period, the target operating parameter value and the corresponding protection setting value, and the adjustment amount of the operating parameter.

3. The method according to claim 1, characterized in that, When the operating status parameter is detected to exceed the adjusted rated operating parameter, the standby capacity is calculated, specifically including: The adjusted rated operating parameters will be used as the upper limit for equipment operation. Calculate the difference between the operating status parameter and the upper limit value of the equipment operation; Calculate the total capacity required for the current load based on the difference; Calculate the actual available capacity of currently operating equipment; The difference between the total capacity and the actual available capacity is determined as the reserve capacity.

4. The method according to claim 1, characterized in that, When the difference in the operating status parameters exceeds a preset range, determining the target adjustment amount based on the difference in the operating status parameters specifically includes: The deviation is calculated based on the difference in the operating status parameters and the adjustment ratio; The product of the deviation and the adjusted rated operating parameters is determined as the target adjustment amount.

5. The method according to claim 1, characterized in that, After adjusting the rated operating parameters of each device according to the target adjustment amount to maintain the difference in operating status parameters within the preset range, the method further includes: Calculate the runtime difference between adjacent devices; Statistically analyze the rate of temperature rise and load fluctuation of each of the aforementioned devices; The timing for equipment switching is determined based on the difference in runtime, the rate of temperature rise, and the magnitude of load fluctuation. When the device switching opportunity is detected, the corresponding device is marked as the device to be switched; The equipment to be switched over is operated in rotation according to the stated spare capacity.

6. The method according to claim 5, characterized in that, The step of rotating the equipment to be switched according to the reserve capacity specifically includes: Record the cumulative runtime and fault occurrence time of the device to be switched; Calculate the load utilization rate corresponding to the time period in which the fault occurred; Calculate the equipment wear coefficient based on the cumulative runtime and the load utilization rate; The devices to be switched are prioritized based on the wear coefficient. A rotation operation schedule is generated based on the priority order and the reserve capacity, and rotation operation is carried out according to the rotation operation schedule, which includes switching time points, switching order and transition adjustment parameters.

7. A digital operation and maintenance system for power supply stations, characterized in that, The system includes: One or more processors and a memory; the memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the system to perform the method as described in any one of claims 1-6.

8. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the system, the system performs the method as described in any one of claims 1-6.

9. A computer program product, characterized in that, When the computer program product is run on the system, the system performs the method as described in any one of claims 1-6.

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