A power transformation operation and maintenance management method and system for a transformer substation

Abstract

The application discloses a power transformation operation and maintenance management method and system for a transformer substation, and relates to the technical field of transformer substation operation and maintenance control. The power transformation operation and maintenance management method for the transformer substation comprises the following steps: monitoring the heat dissipation rate of oil-immersed electrical equipment; monitoring the oil temperature data of the oil-immersed electrical equipment; and monitoring the operation and maintenance risk of the transformer substation. The oil-immersed electrical equipment oil temperature deviation evaluation is determined, then the transformer substation operation and maintenance risk evaluation is determined according to the oil-immersed electrical equipment oil temperature deviation index, then the transformer substation operation and maintenance safety optimization and the transformer substation operation and maintenance data update accuracy evaluation are determined according to the transformer substation operation and maintenance risk evaluation result, the operation and maintenance response timeliness of the oil-immersed electrical equipment in the transformer substation is improved, and the problem of the reduced operation and maintenance response timeliness of the oil-immersed electrical equipment in the transformer substation in the prior art is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of substation operation and maintenance control, in particular to a substation operation and maintenance management method and system. BACKGROUND

[0002] Firstly, through the sensing devices such as thermocouple temperature sensors deployed on the substation equipment, the electrical parameters, environmental data, and heat dissipation fan and cooling medium circulation flow state information of the substation equipment are collected in real time, and the substation data are uploaded to the substation operation and maintenance management center after preliminary processing by the edge computing node; the substation operation and maintenance management center uses big data analysis to deeply mine the substation data, automatically identifies abnormal states and gives early warning, and generates a fault diagnosis report in combination with historical operation and maintenance records; then, the system intelligently schedules operation and maintenance resources according to the warning level and fault type, and pushes a work order containing the fault location, treatment scheme and safety specification to the operation and maintenance personnel mobile terminal; after the operation and maintenance personnel arrive at the scene, the equipment detailed information is obtained by scanning the code through the mobile terminal, the maintenance operation is performed and the progress is fed back in real time, and the system supervises the safety specification execution situation through video monitoring and Internet of Things technology during the operation process; after the task is completed, the substation operation and maintenance management center automatically updates the equipment archives and operation and maintenance records, forming a closed-loop management.

[0003] In the process of substation operation and maintenance management, the existing technology uses fiber Bragg grating sensors deployed at key positions of the substation oil-immersed electrical equipment to monitor the oil temperature of the substation oil-immersed electrical equipment in real time; when the oil temperature of the substation oil-immersed electrical equipment exceeds the normal preset range of the oil temperature of the substation oil-immersed electrical equipment, the substation operation and maintenance management center immediately determines that an abnormality has occurred; then, through comprehensive analysis by comparing with historical data and in combination with the operating conditions of the substation oil-immersed electrical equipment, the cause of the abnormality is quickly located, it is judged whether the high oil temperature of the substation oil-immersed electrical equipment is caused by cooling system failure, if so, the corresponding operation and maintenance strategy is quickly generated, such as starting the standby cooling device, arranging personnel to clean the pipeline, etc., and the abnormal information and treatment suggestions are fed back to the operation and maintenance personnel in time.

[0004] For example, the operation and maintenance quality monitoring method and device of a substation disclosed in the Chinese patent with the publication number CN106933156B, first, various operation and maintenance data of the substation are collected, covering equipment operating parameters such as voltage data, current data, oil temperature data, etc.; then, big data analysis is used to calculate the fluctuation range of the equipment operating parameters, and it is judged whether the equipment operating state is normal according to the preset standard, and potential hidden dangers are found by comparing inspection and maintenance data at different times; then, an operation and maintenance quality evaluation report is generated based on the analysis results, the equipment and area with problems are clearly pointed out, and the corresponding quantitative score is given; finally, the evaluation report is presented to the operation and maintenance personnel through a visual interface.

[0005] For example, the disclosure number: CN115343979A Chinese invention patent discloses a kind of substation digital twin system in abnormal equipment alarm method and device, comprising: pre-establishing each measuring point ID on equipment in substation, while building big data platform;Through acquisition terminal, the load of substation abnormal equipment, current and other data information are collected and transmitted to substation operation and maintenance management center in time;Using distributed data mining algorithm library, the data collected are compared and analyzed with PostgreSQL database data;Single signal event is identified by intelligent inference analysis, such as signal action abnormality, instantaneous action and frequent event, comprehensive event, such as equipment failure, abnormality and network security alarm event, business event, such as device operation, work repair and debugging acceptance event, and warning information is presented through display tool;According to warning information, the contents such as equipment component working state are generated, and corresponding alarm voice broadcast is carried out.

[0006] The above-mentioned technology at least has the following technical problems:

[0007] In the high-temperature operating environment of substation equipment due to its own operating loss heat generation and high temperature environment in summer, when collecting the oil temperature data of oil-immersed transformer, oil-immersed reactor, oil-immersed high-voltage switch and other oil-immersed electrical equipment in substation by thermocouple temperature sensor and uploading to substation operation and maintenance management center, due to the high temperature environment, the heat dissipation efficiency of oil-immersed electrical equipment in substation is reduced, the lower the heat dissipation efficiency, the more serious the heat accumulation in the oil-immersed electrical equipment, which leads to larger deviation between the temperature near the shell measured by thermocouple temperature sensor and the real oil temperature inside, and this deviation superimposes abnormal fluctuation filtering failure problem, further aggravates the degree of data distortion, so that the substation operation and maintenance management center receives distorted oil temperature data of substation equipment and updates, and further causes the delay of substation equipment abnormal early warning sent by substation operation and maintenance management center, and the problem of reducing the timeliness of operation and maintenance of oil-immersed electrical equipment in substation. SUMMARY

[0008] In order to solve the problem of reducing the timeliness of operation and maintenance of oil-immersed electrical equipment in substation in the prior art, the present embodiment provides a substation operation and maintenance management method and system for substation. The technical solution is as follows:

[0009] In one aspect, a power transformation operation and maintenance management method for a transformer substation is provided, which comprises: in the process of transformer substation oil-immersed electrical equipment operation and maintenance management, performing oil-immersed electrical equipment heat dissipation rate evaluation, and based on the oil-immersed electrical equipment heat dissipation rate evaluation result, judging whether oil-immersed electrical equipment oil temperature deviation evaluation is needed; if not, uploading the oil-immersed electrical equipment oil temperature data to the transformer substation operation and maintenance management center and continuously monitoring, otherwise, based on the oil-immersed electrical equipment oil temperature data deviation evaluation result, judging whether transformer substation operation and maintenance risk evaluation is needed; if not, performing transformer substation operation and maintenance data update accuracy evaluation, otherwise, performing transformer substation operation and maintenance safety optimization; if the transformer substation operation and maintenance data update accuracy evaluation is qualified, performing update accuracy continuous state monitoring, otherwise, based on the transformer substation operation and maintenance data update accuracy optimization result, judging whether transformer substation operation and maintenance early warning evaluation is needed; the transformer substation operation and maintenance safety optimization means improving the heat dissipation efficiency of the oil-immersed electrical equipment through transformer substation heat dissipation fan speed dynamic optimization and transformer substation cooling medium circulation flow dynamic optimization; the transformer substation heat dissipation fan speed dynamic optimization is used to enhance the heat dissipation capacity of the oil-immersed electrical equipment by accurately adjusting the fan speed; the transformer substation cooling medium circulation flow dynamic optimization is used to improve the heat exchange efficiency of the oil-immersed electrical equipment heat dissipation by reasonably adjusting the transformer substation cooling medium circulation flow; the transformer substation operation and maintenance data update accuracy optimization is used to improve the consistency of oil temperature data update and actual oil temperature data.

[0010] In another aspect, a transformer substation operation and maintenance management system is provided, which comprises: an oil-immersed electrical equipment heat dissipation rate monitoring module, an oil-immersed electrical equipment oil temperature data monitoring module, and a transformer substation operation and maintenance risk monitoring module; the oil-immersed electrical equipment heat dissipation rate monitoring module is used to perform oil-immersed electrical equipment heat dissipation rate evaluation in the process of transformer substation oil-immersed electrical equipment operation and maintenance management, and based on the oil-immersed electrical equipment heat dissipation rate evaluation result, to judge whether oil-immersed electrical equipment oil temperature deviation evaluation is needed; the oil-immersed electrical equipment oil temperature data monitoring module is used to, if not, upload the oil-immersed electrical equipment oil temperature data to the transformer substation operation and maintenance management center and continuously monitor, otherwise, based on the oil-immersed electrical equipment oil temperature data deviation evaluation result, to judge whether transformer substation operation and maintenance risk evaluation is needed; the transformer substation operation and maintenance risk monitoring module is used to, if not, based on the transformer substation operation and maintenance data update accuracy evaluation result, to judge whether transformer substation operation and maintenance data update accuracy optimization is needed, otherwise, based on the transformer substation operation and maintenance risk evaluation result, to judge whether transformer substation operation and maintenance safety optimization is needed.

[0011] The technical scheme provided by the embodiment of the present application has at least the following beneficial effects:

[0012] 1、By conducting oil-immersed electrical equipment heat dissipation rate evaluation, based on the oil-immersed electrical equipment heat dissipation rate evaluation results to determine whether to need to conduct oil-immersed electrical equipment oil temperature deviation evaluation, which helps to identify the risk of oil temperature fluctuation caused by abnormal heat dissipation of oil-immersed electrical equipment in advance, if not to conduct oil-immersed electrical equipment oil temperature deviation evaluation, the oil-immersed electrical equipment oil temperature data is uploaded to the substation operation and maintenance management center and continuously monitored, otherwise, based on the oil-immersed electrical equipment oil temperature data deviation evaluation results to determine whether to need to conduct substation operation and maintenance risk evaluation, which helps to accurately define the influence of oil temperature deviation on the operation safety of oil-immersed electrical equipment, if not to conduct substation operation and maintenance risk evaluation, then conduct substation operation and maintenance data update accuracy evaluation, otherwise, conduct substation operation and maintenance safety optimization, which helps to accurately improve the risk prevention and control measures of heat dissipation efficiency of oil-immersed electrical equipment due to oil temperature deviation, thereby reducing the failure probability of oil-immersed electrical equipment caused by high temperature, if the substation operation and maintenance data update accuracy evaluation is qualified, then conduct update accuracy continuous state monitoring, otherwise, based on the substation operation and maintenance data update accuracy optimization results to determine whether to conduct substation operation and maintenance early warning evaluation, which helps to timely trigger the substation operation and maintenance early warning response, avoids the substation operation and maintenance early warning lag caused by inaccurate substation operation and maintenance data update, realizes the improvement of the timeliness of the operation and maintenance response of oil-immersed electrical equipment in the substation, effectively solves the problem of reducing the timeliness of the operation and maintenance response of oil-immersed electrical equipment in the substation.

[0013] 2、By quantifying the deviation of the safety parameters of oil-immersed electrical equipment and the preset standard oil-immersed electrical equipment heat dissipation parameters, and then weighting the deviation quantification results with the corresponding oil-immersed electrical equipment operation parameter weighting values, the oil-immersed electrical equipment operation weighted deviation value is obtained, and the substation operation and maintenance risk evaluation index is obtained by multi-aggregation fusion of the oil-immersed electrical equipment operation weighted deviation value, which helps to comprehensively measure the deviation degree of oil-immersed electrical equipment safety parameters and standard oil-immersed electrical equipment heat dissipation parameters from multiple dimensions, and intuitively reflects the level of high-temperature operation risk of oil-immersed electrical equipment, based on the substation operation and maintenance risk evaluation index to determine whether to need to take substation operation and maintenance safety optimization, which helps to reduce the possibility of oil-immersed electrical equipment failure caused by high temperature, and ensures the timeliness and reliability of the subsequent operation and maintenance decision data basis when the risk is up to standard, thereby realizing the precise control of the operation and maintenance process of substation oil-immersed electrical equipment, and improving the safety of equipment operation and the timeliness of operation and maintenance response.

[0014] 3, by the preset update time period oil-immersed electrical equipment oil temperature data actual update accuracy and the database in the preset oil temperature data update standard accuracy deviation quantization, get substation operation and maintenance data update accuracy deviation index, help to convert the difference between the actual update accuracy of the oil temperature operation and maintenance data and the standard update accuracy into quantifiable numerical value, accurately reflect the deviation degree of the oil temperature data update in the preset update time period, based on the substation operation and maintenance data update accuracy deviation index to judge whether it is necessary to take the substation operation and maintenance data update accuracy optimization or to carry out continuous state monitoring, help to improve the accuracy of data update when the deviation is out of limit, keep the stable state of data update when the deviation meets the standard, so as to realize the dynamic calibration and accurate control of the substation oil-immersed electrical equipment oil temperature operation and maintenance data update, improve the update reliability of the operation and maintenance data and the timeliness of the subsequent substation operation and maintenance early warning. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work.

[0016] Figure 1 is a flow chart of a substation operation and maintenance management method provided by an embodiment of the present application for a substation;

[0017] Figure 2 is a general overview flow chart of a substation operation and maintenance management method provided by an embodiment of the present application for a substation;

[0018] Figure 3 is a substation operation and maintenance safety optimization logic diagram of a substation operation and maintenance management method provided by an embodiment of the present application for a substation;

[0019] Figure 4 is a structural schematic diagram of a substation operation and maintenance management system provided by an embodiment of the present application for a substation. DETAILED DESCRIPTION

[0020] The technical solutions in the present application will be described below in combination with the drawings.

[0021] As shown in Figure 1 , a flow chart of a substation operation and maintenance management method provided by an embodiment of the present application for a substation, by Figure 1 it can be known that:

[0022] Firstly, oil-immersed electrical equipment heat dissipation rate monitoring: in the process of operation and maintenance management of oil-immersed electrical equipment in the substation, the heat dissipation rate of oil-immersed electrical equipment is evaluated, and based on the evaluation result of the heat dissipation rate of oil-immersed electrical equipment, it is judged whether the oil temperature deviation evaluation of oil-immersed electrical equipment is needed; through the monitoring of the heat dissipation rate of oil-immersed electrical equipment, it is helpful to find out the heat dissipation efficiency decay or abnormal situation of oil-immersed electrical equipment in time, and to ensure that the heat dissipation capacity of oil-immersed electrical equipment is in the normal working interval, and to provide basis for the subsequent oil temperature data monitoring of oil-immersed electrical equipment.

[0023] Secondly, oil-immersed electrical equipment oil temperature data monitoring: if the oil temperature deviation evaluation of oil-immersed electrical equipment is not carried out, the oil temperature data of oil-immersed electrical equipment, such as top layer oil temperature, bottom layer oil temperature, winding oil temperature, oil temperature rise, is uploaded to the operation and maintenance center of substation and continuously monitored, otherwise, based on the evaluation result of the oil temperature data deviation of oil-immersed electrical equipment, it is judged whether the operation and maintenance risk assessment of substation is needed; through the monitoring of the oil temperature data of oil-immersed electrical equipment, it is helpful to master the dynamic change of the core temperature of oil-immersed electrical equipment in real time, accurately capture the abnormal fluctuation of oil temperature, and ensure that the oil temperature deviates from the normal range in time.

[0024] Finally, substation operation and maintenance risk monitoring: if the operation and maintenance risk assessment of substation is not carried out, the operation and maintenance data updating accuracy evaluation of substation is carried out, otherwise, the operation and maintenance safety optimization of substation is carried out, if the operation and maintenance data updating accuracy evaluation of substation is qualified, the updating accuracy continuous state monitoring is carried out, otherwise, based on the optimization result of the operation and maintenance data updating accuracy of substation, it is judged whether the operation and maintenance early warning assessment of substation is needed, the operation and maintenance safety optimization of substation means that through the dynamic optimization of substation heat dissipation fan speed and the dynamic optimization of substation cooling medium circulation flow, the heat dissipation efficiency of oil-immersed electrical equipment is improved, so as to reduce the risk of high temperature operation, the dynamic optimization of substation heat dissipation fan speed is used to accurately adjust the fan speed, so as to enhance the heat dissipation capacity of oil-immersed electrical equipment, the dynamic optimization of substation cooling medium circulation flow is used to reasonably adjust the circulation flow of substation cooling medium to improve the heat exchange efficiency of oil-immersed electrical equipment heat dissipation, the operation and maintenance data updating accuracy optimization of substation is used to improve the consistency of oil temperature data updating and actual oil temperature data; through the operation and maintenance risk monitoring of substation, it is helpful to comprehensively evaluate the high temperature operation risk and take targeted operation and maintenance safety optimization measures of substation, so as to reduce the probability of failure of oil-immersed electrical equipment caused by high temperature.

[0025] It should be noted that before the method for operation and maintenance management of a transformer substation provided in the present application is designed, a database for storing various types of setting data is established, which includes but is not limited to the standard heat dissipation rate of oil-immersed electrical equipment, the standard operating temperature value of oil-immersed electrical equipment, the standard heat dissipation parameter of oil-immersed electrical equipment, the oil temperature data update standard accuracy, the transformer substation operation and maintenance data update accuracy threshold, the operation and maintenance data time sequence correction intensity threshold, the transformer substation operation and maintenance early warning threshold, etc., wherein various types of preset values are directly set by technical personnel.

[0026] In the present embodiment, oil-immersed electrical equipment such as oil-immersed transformers, oil-immersed reactors, oil-immersed high-voltage switches, etc. is the core equipment of a transformer substation, and its stable operation is directly related to the overall power supply reliability of the transformer substation. The operation and maintenance quality occupies a fundamental and decisive position in the operation and maintenance of the transformer substation. High-temperature faults of oil-immersed electrical equipment may cause power failure accidents and affect the safe operation of the entire power grid. Therefore, the accuracy and timeliness of the operation and maintenance of oil-immersed electrical equipment are the core links of the operation and maintenance system of the transformer substation.

[0027] Through the combined action and mutual influence of oil-immersed electrical equipment heat dissipation rate monitoring, oil-immersed electrical equipment oil temperature data monitoring, and transformer substation operation and maintenance risk monitoring, the oil-immersed electrical equipment heat dissipation rate monitoring provides a basic judgment of the heat dissipation performance of the oil-immersed electrical equipment for subsequent oil-immersed electrical equipment oil temperature data monitoring, especially for the decay hidden danger of equipment heat dissipation capacity under high load period or high temperature environment. The accuracy of oil-immersed electrical equipment oil temperature data monitoring directly affects the reliability of transformer substation operation and maintenance risk assessment. Deviation of oil temperature data may lead to misjudgment of the overheating risk of oil-immersed electrical equipment, thereby affecting the operation and maintenance accuracy of oil-immersed electrical equipment. The transformer substation operation and maintenance risk monitoring dynamically adjusts the heat dissipation fan and cooling medium circulation flow parameters, which not only ensures the safety of the oil-immersed electrical equipment itself, but also creates a stable power grid environment for the operation and maintenance of other equipment. For example, oil-immersed electrical equipment may cause a chain reaction of associated equipment due to high-temperature tripping, forming a closed-loop management, which not only ensures the safe operation of oil-immersed electrical equipment under complex working conditions, but also lays a foundation for the operation and maintenance of other equipment in the transformer substation through its stable state, and overall improves the operation and maintenance responsiveness of oil-immersed electrical equipment in the transformer substation.

[0028] As shown in Figure 2 , it is a general overview flowchart of the method for operation and maintenance management of a transformer substation provided in the present embodiment, which is composed of Figure 2It can be known that, in the operation and maintenance management process of the oil-immersed electrical equipment of the transformer substation, the heat dissipation rate of the oil-immersed electrical equipment is evaluated, and the heat dissipation rate evaluation index of the oil-immersed electrical equipment is obtained. It is judged whether the heat dissipation rate evaluation index of the oil-immersed electrical equipment is less than the preset oil-immersed electrical equipment heat dissipation rate safety threshold. If yes, the oil temperature data of the oil-immersed electrical equipment is uploaded to the transformer substation operation and maintenance management center and continuously monitored. Otherwise, the oil temperature deviation of the oil-immersed electrical equipment is evaluated, and the oil temperature deviation index of the oil-immersed electrical equipment is obtained. It is judged whether the oil temperature deviation index of the oil-immersed electrical equipment is less than the preset oil-immersed electrical equipment high temperature interference safety threshold. If yes, the operation and maintenance qualified prompt is sent. Otherwise, the corresponding oil temperature data of the oil-immersed electrical equipment is marked as risk oil-immersed electrical equipment oil temperature data, and the transformer substation operation and maintenance risk assessment is performed to obtain the transformer substation operation and maintenance risk assessment index. It is judged whether the transformer substation operation and maintenance risk assessment index is less than the preset transformer substation operation and maintenance risk assessment threshold. If yes, the transformer substation operation and maintenance data update accuracy evaluation is performed. Otherwise, the transformer substation operation and maintenance safety optimization is adopted. The transformer substation operation and maintenance safety optimization represents sequentially performing transformer substation heat dissipation fan rotating speed dynamic optimization and transformer substation cooling medium circulating flow dynamic optimization. After the transformer substation operation and maintenance risk assessment is qualified, the transformer substation operation and maintenance data update accuracy evaluation is performed, and the transformer substation operation and maintenance data update accuracy deviation index is obtained. It is judged whether the transformer substation operation and maintenance data update accuracy deviation index is less than the preset transformer substation operation and maintenance data update accuracy threshold. If yes, the update accuracy continuous state monitoring is performed. Otherwise, the transformer substation operation and maintenance data update accuracy optimization is adopted. If the transformer substation operation and maintenance data update accuracy optimization is adopted, the transformer substation operation and maintenance data update accuracy evaluation is qualified, the update accuracy continuous state monitoring is performed. Otherwise, the transformer substation operation and maintenance early warning evaluation is performed, and the transformer substation operation and maintenance early warning evaluation index is obtained. It is judged whether the transformer substation operation and maintenance early warning evaluation index is greater than the preset transformer substation operation and maintenance early warning threshold. If yes, the first-level transformer substation operation and maintenance delay warning is sent. Otherwise, the second-level transformer substation operation and maintenance delay warning is sent.

[0029] Further, the specific process of the oil-immersed electrical equipment heat dissipation rate evaluation is as follows: the deviation of the standard heat dissipation rate of the oil-immersed electrical equipment and the actual heat dissipation rate of the oil-immersed electrical equipment monitored in real time is quantified to obtain an oil-immersed electrical equipment heat dissipation rate evaluation index, wherein the average value of the heat dissipation rate of the oil-immersed electrical equipment at a preset position in a preset time period detected by a thermocouple temperature sensor is taken as the actual heat dissipation rate of the oil-immersed electrical equipment, and the average value of the heat dissipation rate of the oil-immersed electrical equipment in a historical time period is taken as the standard heat dissipation rate of the oil-immersed electrical equipment; whether the oil-immersed electrical equipment heat dissipation rate evaluation index is less than a preset oil-immersed electrical equipment heat dissipation rate safety threshold is judged, wherein the average value of the oil-immersed electrical equipment heat dissipation rate evaluation index in a historical time period is taken as the preset oil-immersed electrical equipment heat dissipation rate safety threshold; if yes, the oil temperature data of the oil-immersed electrical equipment is uploaded to the substation operation and maintenance management center and continuously monitored, otherwise, the oil temperature deviation evaluation of the oil-immersed electrical equipment is performed.

[0030] Specifically, the specific process of the oil-immersed electrical equipment oil temperature deviation evaluation is as follows: an oil-immersed electrical equipment oil temperature deviation index is obtained by quantifying the deviation between the actual operating temperature value of the oil-immersed electrical equipment detected by the thermocouple sensor and the standard oil-immersed electrical equipment operating temperature value, wherein the average value of the oil-immersed electrical equipment operating temperature value in a historical time period is taken as the standard oil-immersed electrical equipment operating temperature value; the oil-immersed electrical equipment oil temperature deviation index is used to reflect the interference degree of the heat dissipation condition of the oil-immersed electrical equipment on the oil temperature measurement data of the oil-immersed electrical equipment; whether the oil-immersed electrical equipment oil temperature deviation index is less than a preset oil-immersed electrical equipment high temperature interference safety threshold is judged, wherein the preset oil-immersed electrical equipment high temperature interference safety threshold is set in advance by a predetermined person; if yes, an operation and maintenance qualified prompt is sent, otherwise, the corresponding oil temperature data of the oil-immersed electrical equipment is marked as risk oil-immersed electrical equipment oil temperature data, and the substation operation and maintenance risk evaluation is performed.

[0031] In this embodiment, the quantitative calculation of the heat dissipation rate of the oil-immersed electrical equipment and the judgment of the heat dissipation rate safety threshold of the oil-immersed electrical equipment help to identify potential risks from the source of the heat dissipation performance of the oil-immersed electrical equipment, which not only ensures that unnecessary oil temperature deviation evaluation processes are reduced when the heat dissipation capacity is normal to improve the operation and maintenance efficiency of the substation, but also avoids the continuous rise of the oil temperature caused by the abnormal heat dissipation rate of the oil-immersed electrical equipment without timely intervention, which leads to equipment failure, and improves the accuracy of the heat dissipation state evaluation of the oil-immersed electrical equipment and the pertinence of the operation and maintenance response.

[0032] The quantitative calculation of the oil temperature deviation of the oil-immersed electrical equipment and the preset high-temperature interference safety threshold judgment of the oil-immersed electrical equipment are helpful to accurately identify the degree of interference of the oil temperature measurement data by the heat dissipation condition, which not only ensures the timely capture and risk judgment of the oil temperature abnormal deviation, provides reliable high-risk data basis for subsequent substation operation and maintenance risk assessment, but also avoids the misjudgment of the equipment operation state caused by the heat dissipation condition interference leading to the distortion of the oil temperature measurement, reduces unnecessary operation and maintenance intervention, and improves the accuracy of the oil-immersed electrical equipment oil temperature deviation evaluation and the scientificity of the operation and maintenance decision.

[0033] Further, the specific process of the substation operation and maintenance risk assessment is as follows: first, SS1, the deviation quantization result is obtained by quantizing the deviation between the safety parameters of the oil-immersed electrical equipment and the preset standard oil-immersed electrical equipment heat dissipation parameters; SS2, the deviation quantization result is respectively weighted with the corresponding oil-immersed electrical equipment operation parameter weight to obtain the oil-immersed electrical equipment operation weighted deviation value.

[0034] Specifically, the expression of the oil-immersed electrical equipment load rate deviation weighted value is F1(H)= , H=1, 2,..., G, H represents the number of the preset analysis time period, G is the total number of the preset analysis time period, F1(H) represents the oil-immersed electrical equipment load rate deviation weighted value of the Hth preset analysis time period, F(H) represents the oil-immersed electrical equipment load rate deviation value of the Hth preset analysis time period, F(0) represents the standard oil-immersed electrical equipment load rate deviation value, the actual load rate of the oil-immersed electrical equipment such as the oil-immersed transformer monitored by the current transformer in the preset time period is taken as the oil-immersed electrical equipment load rate deviation value, and the difference between the actual load rate and the standard oil-immersed electrical equipment load rate is taken as the oil-immersed electrical equipment load rate deviation value, Q1 represents the oil-immersed electrical equipment load rate deviation weight, the preset analysis time period represents the time period for the substation operation and maintenance risk assessment, and the units of the oil-immersed electrical equipment load rate deviation value and the standard oil-immersed electrical equipment load rate deviation value are both unitless.

[0035] Specifically, the expression of the oil-immersed electrical equipment energy consumption deviation weighted value is N1(H)= , N1(H) represents the oil-immersed electrical equipment energy consumption deviation weighted value of the Hth preset analysis time period, N(H) represents the oil-immersed electrical equipment energy consumption deviation value of the Hth preset analysis time period, N(0) represents the standard oil-immersed electrical equipment energy consumption deviation value, the average value of the energy consumption of each oil-immersed electrical equipment monitored by the smart meter in the preset time period is taken as the oil-immersed electrical equipment energy consumption deviation value, and the difference between the average value and the standard oil-immersed electrical equipment energy consumption is taken as the oil-immersed electrical equipment energy consumption deviation value, Q2 represents the oil-immersed electrical equipment load rate deviation weight, and the units of the oil-immersed electrical equipment load rate deviation value and the standard oil-immersed electrical equipment load rate deviation value are both kilowatt-hours.

[0036] Specifically, the expression of the unqualified oil-immersed electrical equipment oil temperature deviation index weighted value is R1(H) = Q3 * R(H) - R(0) R1(H) represents the unqualified oil-immersed electrical equipment oil temperature deviation index weighted value of the Hth preset analysis time period, R(H) represents the unqualified oil-immersed electrical equipment oil temperature deviation index of the Hth preset analysis time period, R(0) represents the standard oil-immersed electrical equipment oil temperature deviation index, the oil-immersed electrical equipment oil temperature deviation index not less than the preset oil-immersed electrical equipment high-temperature interference safety threshold is taken as the unqualified oil-immersed electrical equipment oil temperature deviation index, and Q3 represents the unqualified oil-immersed electrical equipment oil temperature deviation index weight.

[0037] Secondly, SS3, the operation weighted deviation value of the oil-immersed electrical equipment is fused to obtain a substation operation and maintenance risk assessment index, which is used to reflect the effect of the oil-immersed electrical equipment safety parameter on the high-temperature operation risk of the oil-immersed electrical equipment.

[0038] The substation operation and maintenance risk assessment index is obtained by the following method:

[0039] B(H) = F1(H) + N1(H) + R1(H)

[0040] In the formula, B(H) represents the substation operation and maintenance risk assessment index of the Hth preset analysis time period.

[0041] The oil-immersed electrical equipment safety parameter includes the oil-immersed electrical equipment load rate deviation value, the oil-immersed electrical equipment energy consumption deviation value, and the unqualified oil-immersed electrical equipment oil temperature deviation index; the preset standard oil-immersed electrical equipment heat dissipation parameter includes the standard oil-immersed electrical equipment load rate deviation value, the standard oil-immersed electrical equipment energy consumption deviation value, and the standard oil-immersed electrical equipment oil temperature deviation index, wherein the standard oil-immersed electrical equipment load rate deviation value is represented by the average value of the historical time period oil-immersed electrical equipment load rate deviation value, the standard oil-immersed electrical equipment energy consumption deviation value is represented by the average value of the historical time period oil-immersed electrical equipment energy consumption deviation value, and the unqualified oil-immersed electrical equipment oil temperature deviation index is represented by the historical time period unqualified oil-immersed electrical equipment oil temperature deviation index; the oil-immersed electrical equipment operation weighted deviation value includes the oil-immersed electrical equipment load rate deviation weighted value, the oil-immersed electrical equipment energy consumption deviation weighted value, and the unqualified oil-immersed electrical equipment oil temperature deviation index weighted value.

[0042] SS4, it is judged whether the substation operation and maintenance risk assessment index is less than a preset substation operation and maintenance risk assessment threshold: if yes, the substation operation and maintenance data update accuracy is evaluated, otherwise, the substation operation and maintenance safety optimization is taken, wherein the preset substation operation and maintenance risk assessment threshold is represented by the average value of the historical substation operation and maintenance risk assessment index.

[0043] It should be noted that the oil-immersed electrical equipment operation parameter weighting value includes an oil-immersed electrical equipment load rate deviation weight, an oil-immersed electrical equipment energy consumption deviation weight, and an unqualified oil-immersed electrical equipment oil temperature deviation index weight, and is used to reflect the influence degree of the oil-immersed electrical equipment safety parameter on the oil-immersed electrical equipment operation weighted deviation value. In the embodiment of the application, there is a mapping group obtained from a database, the mapping group contains a mapping set, which is pre-set by a professional technician, and the mapping relationship in it adopts a one-to-one or many-to-one form, so as to accurately reflect the influence degree of different parameters on the oil-immersed electrical equipment operation weighted deviation value under different working conditions.

[0044] Specifically, by establishing the mapping relationship between the deviation quantization result of the oil-immersed electrical equipment safety parameter and the preset standard oil-immersed electrical equipment heat dissipation parameter and the oil-immersed electrical equipment operation parameter weighting value, the weight proportion is represented by 0-1 numerical interval; when the substation operation and maintenance center receives the deviation quantization result of the oil-immersed electrical equipment safety parameter and the preset standard oil-immersed electrical equipment heat dissipation parameter, the corresponding oil-immersed electrical equipment operation parameter weighting value can be quickly retrieved from the pre-constructed mapping group, so as to accurately quantify the influence degree of each oil-immersed electrical equipment safety parameter on the oil-immersed electrical equipment operation weighted deviation value, and improve the precision and adaptability of the substation operation and maintenance risk assessment.

[0045] In the embodiment, there is a close correlation between each parameter involved in the substation operation and maintenance risk assessment, and the synergistic effect is crucial to the oil-immersed electrical equipment high-temperature operation risk assessment. The deviation quantization result of the oil-immersed electrical equipment safety parameter and the preset standard heat dissipation parameter is combined with the corresponding oil-immersed electrical equipment operation parameter weighting value to convert into a quantifiable oil-immersed electrical equipment operation weighted deviation value. Specifically, the larger the oil-immersed electrical equipment operation weighted deviation value, the greater the influence degree on the high-temperature operation risk, and the greater the fluctuation range of the substation operation and maintenance risk assessment index; through the multi-aggregation fusion quantization processing, the standardized mapping of multi-dimensional safety parameters is realized, and the one-sidedness of single parameter evaluation is effectively avoided.

[0046] Through parameter correlation analysis of substation operation and maintenance risk assessment, the comprehensive influence of multi-parameter synergistic effect on high temperature operation risk can be accurately captured. The load rate deviation value of oil-immersed electrical equipment and the energy consumption deviation value of oil-immersed electrical equipment usually present a positive correlation, that is, the larger the load rate deviation value of oil-immersed electrical equipment, the heavier the running load of oil-immersed electrical equipment, which may cause the energy consumption deviation value of oil-immersed electrical equipment to increase; when the load rate deviation value of oil-immersed electrical equipment and the energy consumption deviation value of oil-immersed electrical equipment increase, the heat generated by oil-immersed electrical equipment increases, which may cause the oil temperature to rise, thereby increasing the oil temperature deviation index of unqualified oil-immersed electrical equipment, thereby affecting the running state of oil-immersed electrical equipment, which may further aggravate the energy consumption deviation of oil-immersed electrical equipment, forming a vicious cycle, and finally increasing the substation operation and maintenance risk assessment index; through the correlation analysis between parameters, the high temperature operation risk of oil-immersed electrical equipment can be quantified, and the comprehensiveness and accuracy of substation operation and maintenance risk assessment can be improved, thereby providing a reliable decision basis for substation operation and maintenance safety optimization.

[0047] As shown in Figure 3 , it is a substation operation and maintenance safety optimization logic diagram of a substation operation and maintenance management method provided by the embodiment of the application, and Figure 3 It can be known that: the substation operation and maintenance safety optimization represents sequentially performing substation cooling fan rotating speed dynamic optimization and substation cooling medium circulation flow dynamic optimization; the specific process of the substation cooling fan rotating speed dynamic optimization is as follows: obtaining an eligible cooling fan rotating speed adjustment value, taking the amplitude corresponding to the eligible cooling fan rotating speed adjustment value as an adjustment step, gradually increasing the cooling fan rotating speed, when it is monitored that the substation operation and maintenance risk assessment index is less than a preset substation operation and maintenance risk assessment threshold, stopping execution, and the cooling fan rotating speed does not exceed a preset cooling fan rotating speed adjustment threshold; after the substation cooling fan rotating speed dynamic optimization is completed, if the re-obtained substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, the substation cooling medium circulation flow dynamic optimization is adopted, otherwise, the substation operation and maintenance data update accuracy evaluation is performed.

[0048] Specifically, the specific process of the substation cooling medium circulation flow dynamic optimization is as follows: obtaining an eligible cooling medium circulation flow adjustment value, taking the amplitude corresponding to the eligible cooling medium circulation flow adjustment value as an adjustment step, gradually increasing the cooling medium circulation flow, when it is monitored that the substation operation and maintenance risk assessment index is less than a preset substation operation and maintenance risk assessment threshold, stopping execution, and the cooling medium circulation flow does not exceed a preset cooling medium circulation flow adjustment threshold; after the substation cooling medium circulation flow dynamic optimization is completed, if the re-obtained substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, an optimization alarm is sent, otherwise, the substation operation and maintenance data update accuracy evaluation is performed.

[0049] Further, the substation operation and maintenance safety optimization represents the dynamic optimization of the substation cooling fan speed and the dynamic optimization of the substation cooling medium circulation flow. Through the orderly cooperation of the dynamic optimization of the substation cooling fan speed and the dynamic optimization of the substation cooling medium circulation flow, the substation operation and maintenance safety optimization realizes the step-by-step accurate adjustment of the fan speed and the cooling medium flow based on the dynamic adjustment logic of the substation operation and maintenance risk assessment index combined with threshold judgment, forms a progressive heat dissipation efficiency improvement mechanism, can timely reduce the high temperature operation risk of oil-immersed electrical equipment through step-by-step optimization when the operation and maintenance risk exceeds the limit, avoids the limitation of a single optimization method, prevents resource waste or equipment loss caused by excessive adjustment through threshold control, ensures the safe operation of the oil-immersed electrical equipment within the controllable risk range, and at the same time lays a stable equipment state foundation for subsequent substation operation and maintenance data update accuracy evaluation; the specific process of the dynamic optimization of the substation cooling fan speed is as follows: the substation operation and maintenance risk assessment index, the cooling fan speed and the cooling fan surface heat flux density are input into the cooling fan speed dynamic correction set in the database to obtain a preset cooling fan speed correction ratio, wherein the database contains a correction set for reflecting the corresponding relationship between the combination data of the substation operation and maintenance risk assessment index, the cooling fan speed and the cooling fan surface heat flux density and the cooling fan speed correction ratio, the cooling fan speed is monitored by a speed sensor, and the cooling fan surface heat flux density is monitored by a heat flux density sensor; it is judged whether the preset cooling fan speed correction ratio is greater than a preset cooling fan speed adjustment threshold, wherein the preset cooling fan speed adjustment threshold is set in advance by a predetermined person; if yes, a cooling fan speed correction abnormal alarm is sent, otherwise, the corresponding preset cooling fan speed correction ratio is marked as a qualified cooling fan speed adjustment value; the amplitude corresponding to the qualified cooling fan speed adjustment value is taken as the adjustment step, the cooling fan speed is gradually increased, and when the monitored substation operation and maintenance risk assessment index is less than a preset substation operation and maintenance risk assessment threshold, the execution is stopped, wherein the preset substation operation and maintenance risk assessment threshold is represented by the average value of the historical time period substation operation and maintenance risk assessment index; the cooling fan speed does not exceed the preset cooling fan speed adjustment threshold, wherein the preset cooling fan speed adjustment threshold is set in advance by a predetermined person; after the dynamic optimization of the substation cooling fan speed is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, the dynamic optimization of the substation cooling medium circulation flow is adopted, otherwise, the substation operation and maintenance data update accuracy evaluation is performed.

[0050] Specifically, the specific process of the dynamic optimization of the substation cooling medium circulation flow is as follows: the substation operation and maintenance risk assessment index, the cooling medium circulation flow and the cooling medium inlet and outlet temperature difference data are input into the cooling medium circulation flow dynamic correction set in the database for correction to obtain a preset cooling medium circulation flow correction ratio, wherein the database contains a correction set for reflecting the corresponding relationship between the combination data of the substation operation and maintenance risk assessment index, the cooling medium circulation flow and the cooling medium inlet and outlet temperature difference data and the cooling medium circulation flow correction ratio, the cooling medium circulation flow is monitored by an electromagnetic flowmeter, and the cooling medium inlet and outlet temperature difference data is represented by the temperature difference of the cooling medium inlet pipeline and outlet pipeline monitored by the temperature sensor; it is judged whether the preset cooling medium circulation flow correction ratio is greater than a preset cooling medium flow adjustment threshold value, if yes, a cooling medium flow correction abnormality alarm is sent, otherwise, the corresponding preset cooling medium circulation flow correction ratio is marked as a qualified cooling medium circulation flow adjustment value, wherein the preset cooling medium flow adjustment threshold value is set in advance by a predetermined person; the qualified cooling medium circulation flow adjustment value corresponding amplitude is taken as a regulation step to gradually increase the cooling medium circulation flow, and when the substation operation and maintenance risk assessment index is less than a preset substation operation and maintenance risk assessment threshold value, the execution is stopped; the cooling medium circulation flow does not exceed the preset cooling medium circulation flow adjustment threshold value, and the preset cooling medium circulation flow adjustment threshold value is set in advance by a predetermined person; when the dynamic optimization of the substation cooling medium circulation flow is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold value, an optimization alarm is sent, otherwise, the substation operation and maintenance data updating accuracy is evaluated.

[0051] In the embodiment, the substation operation and maintenance safety optimization is realized through the orderly connection of the dynamic optimization of the cooling fan rotation speed and the dynamic optimization of the cooling medium circulation flow, the quantitative adjustment is realized by the real-time collected cooling fan rotation speed, cooling fan surface heat flux, cooling medium circulation flow and cooling medium inlet and outlet temperature difference data, and the preset correction set in the database, a closed-loop control logic of "data monitoring-threshold judgment-accurate adjustment-risk feedback" is formed, the limitation of single optimization mode is broken through the synergistic linkage of different cooling methods, the operation of the cooling fan and the cooling medium circulation flow is strictly controlled in the safety range by means of the double constraints of the preset threshold value and the regulation step, so as to help avoid the equipment loss and energy waste caused by excessive adjustment, ensure that the oil-immersed electrical equipment always operates stably in the controllable risk range, create stable equipment state conditions for subsequent operation and maintenance data updating accuracy evaluation, and improve the response efficiency of the substation operation and maintenance safety management.

[0052] Further, the specific process of the substation operation data update accuracy evaluation is as follows: obtaining a substation operation data update accuracy deviation index; the substation operation data update accuracy deviation index is obtained by quantifying the deviation of the actual update accuracy rate of the oil-immersed electrical equipment oil temperature data in a preset update time period and the preset oil temperature data update standard accuracy rate in the database, wherein the preset update time period represents the time period for evaluating the substation operation data update accuracy, and the preset oil temperature data update standard accuracy rate is represented by the average value of the historical time period oil temperature data update accuracy rate; the actual update data accuracy rate is represented by the quantification result of the proportion of the number of oil temperature data consistent with the real-time collected oil temperature data in the total number of actual update data in the preset update time period; the substation operation data update accuracy deviation index is used to reflect the deviation degree of the substation oil-immersed electrical equipment oil temperature operation data in the update accuracy from the standard update accuracy; it is judged whether the substation operation data update accuracy deviation index is less than the preset substation operation data update accuracy threshold value, wherein the preset substation operation data update accuracy threshold value is represented by the average value of the historical time period substation operation data update accuracy deviation index; if yes, the update accuracy continuous state monitoring is performed, otherwise, the substation operation data update accuracy optimization is adopted; the deviation of the actual update accuracy rate of the oil-immersed electrical equipment oil temperature data and the preset oil temperature data update standard accuracy rate is quantified by the substation operation data update accuracy evaluation to form a measurable substation operation data update accuracy deviation index, and the accurate control of the oil temperature data update quality is realized by combining the preset substation operation data update accuracy threshold value judgment, which can not only ensure the stability of data update by continuous monitoring when the substation operation data update accuracy deviation index meets the standard, and provide reliable data benchmark for subsequent operation and maintenance, but also can timely trigger the substation operation data update accuracy optimization when the substation operation data update accuracy deviation index is out of limit, avoid the operation and maintenance errors caused by the distortion of operation and maintenance data, effectively guarantee the authenticity and timeliness of the oil temperature data as the core operation and maintenance basis, further improve the closed-loop system of substation oil-immersed electrical equipment operation and maintenance management, and improve the accuracy of the overall operation and maintenance data.

[0053] Specifically, the specific process of substation operation and maintenance data update accuracy optimization is as follows: the substation operation and maintenance data update accuracy deviation index and the operation and maintenance data cycle time sequence are input into the operation and maintenance data update time sequence dynamic correction set in the database to correct the operation and maintenance data update time sequence correction adjustment value, wherein the database contains a correction set for reflecting the combination data of the operation and maintenance data update accuracy deviation index and the operation and maintenance data cycle time sequence, and the corresponding relationship between the operation and maintenance data time sequence correction adjustment value, and the operation and maintenance data cycle time sequence is represented by the continuous record sequence of the actual update time stamp of the oil temperature data in the preset time period; whether the preset operation and maintenance data time sequence correction adjustment value is less than the preset operation and maintenance data time sequence correction intensity threshold value is judged, wherein the preset operation and maintenance data time sequence correction intensity threshold value is set in advance by the predetermined personnel; if yes, the preset operation and maintenance data time sequence correction adjustment value is marked as a qualified operation and maintenance data time sequence correction adjustment value, otherwise, an operation and maintenance data time sequence correction parameter abnormality alarm is sent; the amplitude corresponding to the qualified operation and maintenance data time sequence correction adjustment value is taken as the adjustment step, and the actual update time stamp of the oil temperature data is gradually increased in the direction of the preset standard update time stamp, and when the reacquired substation operation and maintenance data update accuracy deviation index is less than the preset substation operation and maintenance data update accuracy threshold value, the execution is stopped; the number of adjustments does not exceed the preset maximum adjustment number threshold value, which is set in advance by the predetermined personnel; the substation operation and maintenance data update accuracy threshold value and the preset maximum adjustment number threshold value are used to limit to avoid data confusion caused by excessive correction, and at the same time, the substation operation and maintenance early warning evaluation is triggered in time when the substation operation and maintenance data update accuracy optimization is invalid, so as to ensure the accuracy and stability of the oil temperature operation and maintenance data update; after the substation operation and maintenance data update accuracy optimization is completed, if the reacquired substation operation and maintenance data update accuracy deviation index is still not less than the preset substation operation and maintenance data update accuracy threshold value, the substation operation and maintenance early warning evaluation is performed, otherwise, the continuous state monitoring of the substation oil-immersed electrical equipment is performed.

[0054] In the embodiment, the substation operation and maintenance data update accuracy optimization combines the operation and maintenance data update accuracy deviation index with the operation and maintenance data cycle time sequence, uses the preset operation and maintenance data time sequence correction adjustment value in the database, and judges the operation and maintenance data time sequence correction intensity threshold value to realize the step-by-step accurate adjustment of the oil temperature data update time stamp, forming a targeted data update calibration mechanism. This process can improve the accuracy of data update through directional adjustment of the time stamp when the correction adjustment value meets the standard, so that the operation and maintenance data update accuracy deviation index returns to the substation operation and maintenance data update accuracy threshold value, providing reliable data support for the continuous state monitoring of the substation oil-immersed electrical equipment and subsequent operation and maintenance decision-making, and further improving the closed-loop system of operation and maintenance data management.

[0055] Further, the specific process of the substation operation and maintenance early warning evaluation is as follows: obtaining a substation operation and maintenance early warning evaluation index, which is used to reflect the deviation degree of the timeliness of substation operation and maintenance decision from abnormal identification to substation operation and maintenance early warning; the substation operation and maintenance early warning evaluation index is obtained by deviation quantization of the actual alarm response time length mean in the preset early warning time period and the preset standard alarm response time length, wherein the preset early warning time period represents the time period for which the substation operation and maintenance early warning evaluation is performed, and the actual alarm response time length is represented by monitoring the duration from the detection of abnormal data points by the substation to the issuance of formal early warning information by the substation operation and maintenance center; determining whether the substation operation and maintenance early warning evaluation index is greater than a preset substation operation and maintenance early warning threshold, wherein the substation operation and maintenance early warning threshold is represented by the average value of the historical time period substation operation and maintenance early warning evaluation index; if yes, a first-level substation operation and maintenance delay early warning is sent, otherwise, a second-level substation operation and maintenance delay early warning is sent, wherein the first-level substation operation and maintenance delay early warning represents a more serious early warning lag degree, which can lead to rapid escalation of oil-immersed electrical equipment risk, and will trigger an emergency disposal process to contain the risk expansion, and the second-level substation operation and maintenance delay early warning represents a relatively lighter early warning response lag degree, which does not pose a serious threat to the safety of oil-immersed electrical equipment, and only serves as a risk prompt to pay attention to potential hidden dangers.

[0056] In the embodiment, the substation operation and maintenance early warning evaluation quantifies the deviation of the actual alarm response time length mean and the preset standard alarm response time length to form an early warning evaluation index reflecting the deviation degree of the timeliness of the early warning, and realizes the hierarchical judgment of the operation and maintenance early warning efficiency in combination with the preset substation operation and maintenance early warning threshold, which can accurately distinguish the lag degree of the substation early warning response through the hierarchical sending of the first-level and second-level delay early warning, avoid the expansion of faults caused by substation early warning delay, ensure the timeliness of the substation operation and maintenance early warning, provide an evaluation basis in the time dimension for the rapid promotion of operation and maintenance decision, and further improve the closed-loop management of substation operation and maintenance risk prevention and control.

[0057] As an implementation manner of the second aspect, like Figure 4As shown, a structure schematic diagram of a power transformation operation and maintenance management system for a transformer substation provided by an embodiment of the application, comprising: an oil-immersed electrical equipment heat dissipation rate monitoring module, an oil-immersed electrical equipment oil temperature data monitoring module, and a transformer substation operation and maintenance risk monitoring module; the oil-immersed electrical equipment heat dissipation rate monitoring module is used for performing oil-immersed electrical equipment heat dissipation rate evaluation in the process of transformer substation oil-immersed electrical equipment operation and maintenance management, and based on the oil-immersed electrical equipment heat dissipation rate evaluation result to judge whether oil-immersed electrical equipment oil temperature deviation evaluation is needed; the oil-immersed electrical equipment oil temperature data monitoring module is used for uploading oil-immersed electrical equipment oil temperature data to a transformer substation operation and maintenance management center and continuously monitoring if the oil-immersed electrical equipment oil temperature deviation evaluation is not performed, otherwise, based on the oil-immersed electrical equipment oil temperature data deviation evaluation result to judge whether transformer substation operation and maintenance risk evaluation is needed; the transformer substation operation and maintenance risk monitoring module is used for based on the transformer substation operation and maintenance data update accuracy evaluation result to judge whether transformer substation operation and maintenance data update accuracy optimization is needed if the transformer substation operation and maintenance risk evaluation is not performed, otherwise, based on the transformer substation operation and maintenance risk evaluation result to judge whether transformer substation operation and maintenance safety optimization is needed.

[0058] In the present example, the oil-immersed electrical equipment heat dissipation rate monitoring module, the oil-immersed electrical equipment oil temperature data monitoring module, and the transformer substation operation and maintenance risk monitoring module form a progressive operation and maintenance management closed loop through data flow conversion and logical connection, the evaluation result of the oil-immersed electrical equipment heat dissipation rate monitoring module provides initial judgment basis for the oil-immersed electrical equipment oil temperature data monitoring module, and ensures to identify potential risks from the root of oil-immersed electrical equipment heat dissipation performance; the oil-immersed electrical equipment oil temperature data monitoring module performs oil temperature monitoring and deviation analysis based on the oil-immersed electrical equipment heat dissipation rate evaluation result, and provides accurate oil temperature data support for the transformer substation operation and maintenance risk monitoring module; the transformer substation operation and maintenance risk monitoring module triggers transformer substation operation and maintenance safety optimization or operation and maintenance qualified prompt according to the transformer substation operation and maintenance risk evaluation result, realizes timely intervention on the high-temperature operation risk of the oil-immersed electrical equipment, and the transformer substation operation and maintenance data update accuracy evaluation guarantees the accuracy of operation and maintenance data after the transformer substation operation and maintenance risk evaluation is qualified, provides a reliable data basis for the continuous optimization of the entire operation and maintenance process, thereby realizing fine management and control of the entire operation and maintenance process of the transformer substation oil-immersed electrical equipment, and effectively improving the operation and maintenance responsiveness of the oil-immersed electrical equipment in the transformer substation.

[0059] In summary, the embodiment of the present application performs oil-immersed electrical equipment heat dissipation rate evaluation, judges whether oil-immersed electrical equipment oil temperature deviation evaluation is needed based on the oil-immersed electrical equipment heat dissipation rate evaluation result, helps to identify the oil temperature fluctuation risk caused by abnormal heat dissipation of the oil-immersed electrical equipment in advance, if the oil-immersed electrical equipment oil temperature deviation evaluation is not performed, uploads the oil-immersed electrical equipment oil temperature data to the substation operation and maintenance management center and continuously monitors, otherwise, judges whether substation operation and maintenance risk evaluation is needed based on the oil-immersed electrical equipment oil temperature data deviation evaluation result, helps to accurately define the influence degree of the oil temperature deviation on the operation safety of the oil-immersed electrical equipment, if the substation operation and maintenance risk evaluation is not performed, performs substation operation and maintenance data update accuracy evaluation, otherwise, performs substation operation and maintenance safety optimization, helps to develop risk prevention and control measures to reduce the failure probability of the oil-immersed electrical equipment, if the substation operation and maintenance data update accuracy evaluation is qualified, performs update accuracy continuous state monitoring, otherwise, judges whether substation operation and maintenance early warning evaluation is performed based on the substation operation and maintenance data update accuracy optimization result, helps to timely trigger early warning response and avoid substation operation and maintenance early warning lag caused by inaccurate substation operation and maintenance data update, realizes the improvement of the operation and maintenance timeliness of the oil-immersed electrical equipment in the substation, and effectively solves the problem of the reduced operation and maintenance timeliness of the oil-immersed electrical equipment in the substation.

[0060] Those skilled in the art can understand that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0061] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the devices, apparatuses and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0062] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units is only a logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.

[0063] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e., may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0064] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0065] If the functions are realized in the form of software functional units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the present application that essentially contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a 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: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0066] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for substation operation and maintenance management, characterized in that, include: During the operation and maintenance management of oil-immersed electrical equipment in substations, the heat dissipation rate of the oil-immersed electrical equipment is evaluated, and the results of the heat dissipation rate evaluation are used to determine whether it is necessary to evaluate the oil temperature deviation of the oil-immersed electrical equipment. If the oil temperature deviation assessment of the oil-immersed electrical equipment is not performed, the oil temperature data of the oil-immersed electrical equipment shall be uploaded to the substation operation and maintenance management center and continuously monitored; otherwise, the substation operation and maintenance risk assessment shall be determined based on the oil temperature data deviation assessment results of the oil-immersed electrical equipment. If no substation operation and maintenance risk assessment is conducted, then a substation operation and maintenance data update accuracy assessment is conducted; otherwise, substation operation and maintenance safety optimization is conducted. If the substation operation and maintenance data update accuracy assessment is qualified, then continuous status monitoring of update accuracy is conducted; otherwise, based on the substation operation and maintenance data update accuracy optimization results, it is determined whether to conduct a substation operation and maintenance early warning assessment. The substation operation and maintenance safety optimization refers to improving the heat dissipation efficiency of oil-immersed electrical equipment by dynamically optimizing the substation cooling fan speed and the substation cooling medium circulation flow. The substation cooling fan speed dynamic optimization is used to enhance the heat dissipation capacity of oil-immersed electrical equipment by precisely adjusting the fan speed. The substation cooling medium circulation flow dynamic optimization is used to improve the heat exchange efficiency of oil-immersed electrical equipment by reasonably adjusting the substation cooling medium circulation flow. The substation operation and maintenance data update accuracy optimization is used to improve the consistency between the updated oil temperature data and the actual oil temperature data.

2. The substation operation and maintenance management method according to claim 1, characterized in that, The specific process for evaluating the heat dissipation rate of the oil-immersed electrical equipment is as follows: By quantifying the deviation between the standard heat dissipation rate of oil-immersed electrical equipment and the actual heat dissipation rate of oil-immersed electrical equipment monitored in real time, an evaluation index for the heat dissipation rate of oil-immersed electrical equipment is obtained. Determine whether the heat dissipation rate assessment index of oil-immersed electrical equipment is less than the preset safe threshold for heat dissipation rate of oil-immersed electrical equipment; If so, the oil temperature data of the oil-immersed electrical equipment will be uploaded to the substation operation and maintenance management center for continuous monitoring; otherwise, an assessment of the oil temperature deviation of the oil-immersed electrical equipment will be conducted.

3. A substation operation and maintenance management method according to claim 2, characterized in that, The specific process for evaluating the oil temperature deviation of the oil-immersed electrical equipment is as follows: Obtain the oil temperature deviation index for oil-immersed electrical equipment: This is obtained by quantifying the deviation between the operating temperature value of the oil-immersed electrical equipment and the operating temperature value of a standard oil-immersed electrical equipment. The oil temperature deviation index of the oil-immersed electrical equipment is used to reflect the degree of interference of the heat dissipation conditions of the oil-immersed electrical equipment on the oil temperature data of the oil-immersed electrical equipment. Determine whether the oil temperature deviation index of oil-immersed electrical equipment is less than the preset high-temperature interference safety threshold for oil-immersed electrical equipment; If yes, a maintenance qualification notification will be sent; otherwise, the corresponding oil temperature data of the oil-immersed electrical equipment will be marked as risky oil temperature data of the oil-immersed electrical equipment, and a substation maintenance risk assessment will be conducted.

4. A substation operation and maintenance management method according to claim 3, characterized in that, The specific process for the substation operation and maintenance risk assessment is as follows: SS1 obtains the deviation quantification result by quantifying the deviation between the safety parameters of oil-immersed electrical equipment and the preset standard heat dissipation parameters of oil-immersed electrical equipment; SS2 assigns weights to the deviation quantification results and the corresponding operating parameters of the oil-immersed electrical equipment to obtain the weighted deviation values ​​of the oil-immersed electrical equipment. Specifically, these include: the weighted value of the load rate deviation of the oil-immersed electrical equipment, the weighted value of the energy consumption deviation of the oil-immersed electrical equipment, and the weighted value of the oil temperature deviation index of the unqualified oil-immersed electrical equipment. SS3 is a substation operation and maintenance risk assessment index obtained by multi-factor fusion of the weighted deviation values ​​of oil-immersed electrical equipment. The safety parameters for oil-immersed electrical equipment include the load rate deviation value, energy consumption deviation value, and oil temperature deviation index for unqualified oil-immersed electrical equipment. The weighted values ​​of the operating parameters of the oil-immersed electrical equipment are used to reflect the degree of influence of the safety parameters of the oil-immersed electrical equipment on the weighted deviation value of the operation of the oil-immersed electrical equipment; The substation operation and maintenance risk assessment index is used to reflect the effect of safety parameters of oil-immersed electrical equipment on the high-temperature operation risk of oil-immersed electrical equipment; SS4, determine whether the substation operation and maintenance risk assessment index is less than the preset substation operation and maintenance risk assessment threshold: If so, an accuracy assessment of substation operation and maintenance data updates will be conducted; otherwise, substation operation and maintenance safety optimization will be implemented.

5. A substation operation and maintenance management method according to claim 4, characterized in that, The substation operation and maintenance safety optimization refers to the dynamic optimization of substation cooling fan speed and the dynamic optimization of substation cooling medium circulation flow rate in sequence. The specific process for dynamically optimizing the speed of the substation cooling fans is as follows: The substation operation and maintenance risk assessment index, cooling fan speed and cooling fan surface heat flux density are input into the cooling fan speed dynamic correction set in the database to correct the preset cooling fan speed correction ratio. Determine whether the preset cooling fan speed correction ratio is greater than the preset cooling fan speed adjustment threshold. If so, send a cooling fan speed correction abnormal alarm; otherwise, mark the corresponding preset cooling fan speed correction ratio as a qualified cooling fan speed adjustment value. The adjustment step size is based on the magnitude corresponding to the qualified cooling fan speed adjustment value. The cooling fan speed is increased step by step. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the operation is stopped. After the dynamic optimization of the substation cooling fan speed is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, then the dynamic optimization of the substation cooling medium circulation flow will be carried out; otherwise, the accuracy assessment of substation operation and maintenance data update will be conducted.

6. A substation operation and maintenance management method for a substation according to claim 5, characterized in that, The specific process for dynamically optimizing the cooling medium circulation flow rate in the substation is as follows: The substation operation and maintenance risk assessment index, cooling medium circulation flow rate and cooling medium inlet and outlet temperature difference data are input into the cooling medium circulation flow dynamic correction set in the database for correction, and the preset cooling medium circulation flow correction ratio is obtained. Determine whether the preset cooling medium circulation flow correction ratio is greater than the preset cooling medium flow adjustment threshold. If so, send a cooling medium flow correction abnormality alarm; otherwise, mark the corresponding preset cooling medium circulation flow correction ratio as a qualified cooling medium circulation flow adjustment value. The cooling medium circulation flow rate is gradually increased by using the magnitude corresponding to the qualified cooling medium circulation flow rate adjustment value as the adjustment step size. When the substation operation and maintenance risk assessment index is detected to be less than the preset substation operation and maintenance risk assessment threshold, the execution is stopped. After the dynamic optimization of the substation cooling medium circulation flow is completed, if the re-acquired substation operation and maintenance risk assessment index is still not less than the preset substation operation and maintenance risk assessment threshold, an optimization alarm will be sent; otherwise, a substation operation and maintenance data update accuracy assessment will be performed.

7. A substation operation and maintenance management method according to claim 1, characterized in that, The specific process for assessing the accuracy of substation operation and maintenance data updates is as follows: Obtain the accuracy deviation index of substation operation and maintenance data updates; The substation operation and maintenance data update accuracy deviation index is obtained by quantifying the deviation between the actual update accuracy of oil temperature data of oil-immersed electrical equipment within a preset time period and the preset oil temperature data update standard accuracy in the database. The substation operation and maintenance data update accuracy deviation index is used to reflect the degree of deviation between the update accuracy of the oil temperature operation and maintenance data of oil-immersed electrical equipment in the substation and the standard update accuracy. Determine whether the accuracy deviation index of substation operation and maintenance data update is less than the preset substation operation and maintenance data update accuracy threshold; If so, continuous monitoring of the accuracy of the update will be carried out; otherwise, optimization of the accuracy of the substation operation and maintenance data update will be implemented.

8. A substation operation and maintenance management method according to claim 7, characterized in that, The specific process for optimizing the accuracy of substation operation and maintenance data updates is as follows: The substation operation and maintenance data update accuracy deviation index and operation and maintenance data cycle time series are input into the operation and maintenance data update time series dynamic correction set in the database for correction, and the preset operation and maintenance data time series correction adjustment value is obtained. Determine whether the preset operation and maintenance data timing correction adjustment value is less than the preset operation and maintenance data timing correction intensity threshold. If so, mark the preset operation and maintenance data timing correction adjustment value as a qualified operation and maintenance data timing correction adjustment value; otherwise, send an alarm for abnormal operation and maintenance data timing correction parameters. Using the magnitude of the time-series correction adjustment value of qualified operation and maintenance data as the adjustment step size, the timestamp value of the actual update timestamp of oil temperature data is gradually reduced in the direction of the update timestamp. When the accuracy deviation index of the re-acquired substation operation and maintenance data update is less than the preset substation operation and maintenance data update accuracy threshold, the execution is stopped. After the substation operation and maintenance data update accuracy optimization is completed, if the re-acquired substation operation and maintenance data update accuracy deviation index is still not less than the preset substation operation and maintenance data update accuracy threshold, then a substation operation and maintenance early warning assessment will be carried out; otherwise, continuous status monitoring of substation oil-immersed electrical equipment will be carried out.

9. A substation operation and maintenance management method according to claim 8, characterized in that, The specific process for the substation operation and maintenance early warning assessment is as follows: Obtain substation operation and maintenance early warning assessment indicators to reflect the degree of deviation in the timeliness of substation operation and maintenance decisions from anomaly identification to substation operation and maintenance early warning; Determine whether the substation operation and maintenance early warning assessment indicators are greater than the preset substation operation and maintenance early warning threshold; If yes, a Level 1 substation maintenance delay warning will be sent; otherwise, a Level 2 substation maintenance delay warning will be sent.

10. A substation operation and maintenance management system, employing the substation operation and maintenance management method as described in any one of claims 1-9, characterized in that, include: Oil-immersed electrical equipment heat dissipation rate monitoring module, oil temperature data monitoring module for oil-immersed electrical equipment, and substation operation and maintenance risk monitoring module: The oil-immersed electrical equipment heat dissipation rate monitoring module is used to evaluate the heat dissipation rate of oil-immersed electrical equipment during the operation and maintenance management of oil-immersed electrical equipment in substations, and to determine whether it is necessary to evaluate the oil temperature deviation of oil-immersed electrical equipment based on the evaluation results. The oil temperature data monitoring module for oil-immersed electrical equipment is used to upload the oil temperature data of the oil-immersed electrical equipment to the substation operation and maintenance management center and continuously monitor it if no oil temperature deviation assessment is performed. Otherwise, it determines whether a substation operation and maintenance risk assessment is needed based on the oil temperature data deviation assessment results. The substation operation and maintenance risk monitoring module is used to determine whether substation operation and maintenance data update accuracy optimization is needed based on the substation operation and maintenance data update accuracy assessment results if no substation operation and maintenance risk assessment is performed; otherwise, it is used to determine whether substation operation and maintenance safety optimization is needed based on the substation operation and maintenance risk assessment results.

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