Transformer processing scheme determination method and device

Abstract

The invention is suitable for the technical field of power equipment maintenance, and provides a transformer processing scheme determination method and device, and the method comprises the steps: obtaining the operation age limit, the operation cost, the voltage grade and the capacity of a target transformer; according to the voltage grade, the capacity and a preset equipment full-life cycle cost fitting function, the optimal operation age limit and the lowest operation cost of the target transformer are determined; and determining a processing scheme of the target transformer according to the commissioning age limit, the operation cost, the optimal commissioning age limit and the lowest operation cost. The processing scheme of the transformer can be accurately obtained.

Description

Technical Field

[0001] The present application belongs to the technical field of power equipment maintenance, and in particular to a method and device for determining a transformer processing solution. Background Art

[0002] Transformers are important equipment in power grid systems. Different types of transformers have different optimal operating lifespans. The optimal operating lifespan refers to the period of time during which the equipment can operate at the highest efficiency and lowest failure rate. This period is determined based on multiple factors, such as the equipment's design life, maintenance, operating conditions, and technological progress. Due to differences in equipment manufacturers and production batches, there will be a certain degree of error in the optimal operating lifespan. The manufacturer only gives an approximate age, which is of little significance for reference to the power grid system.

[0003] For transformers, after a period of operation, for example, after exceeding the optimal operating period, experienced staff are mainly responsible for judging how to deal with the transformer. However, the results of manual judgment are highly subjective, especially in the years beyond the optimal operating period. Different staff members may give different treatment plans, which may lead to the inability to properly handle the transformer, resulting in waste of resources. Summary of the invention

[0004] The embodiments of the present application provide a method and device for determining a transformer processing solution to accurately obtain a transformer processing solution.

[0005] This application is implemented through the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a method for determining a transformer processing solution, comprising:

[0007] Obtain the service life, operating cost, voltage level and capacity of the target transformer.

[0008] According to the voltage level, capacity and the preset equipment life cycle cost fitting function, the optimal operation life and minimum operating cost of the target transformer are determined.

[0009] Determine the treatment plan for the target transformer based on the operating life, operating cost, optimal operating life and minimum operating cost.

[0010] In conjunction with the first aspect, in some possible implementations, the process of determining the pre-set equipment life cycle cost fitting function is as follows:

[0011] According to the voltage level, capacity, operation life and annual operation cost of various transformers currently in use, combined with the first formula, the first set of equations is obtained.

[0012] Solve the unknown parameters in the first formula to obtain the full life cycle cost fitting function of the preset equipment.

[0013] The first formula is:

[0014] y=k1ax 2 -k2bx+k3

[0015] Among them, a represents the voltage level of the transformer currently in use, b represents the capacity of the transformer currently in use, x represents the operating life of the transformer currently in use, y represents the operating cost corresponding to the operating life of the transformer currently in use, k1 represents the first unknown parameter, k2 represents the second unknown parameter, and k3 represents the third unknown parameter.

[0016] In combination with the first aspect, in some possible implementations, solving the unknown parameters in the first formula to obtain a preset equipment life cycle cost fitting function includes:

[0017] The first unknown parameter, the second unknown parameter and the third unknown parameter in the first formula are solved by elimination method or back substitution method to obtain a fitting function of the full life cycle cost of the preset equipment.

[0018] In combination with the first aspect, in some possible implementations, the optimal operation life and the lowest operating cost of the target transformer are determined according to the voltage level, capacity, and a preset equipment life cycle cost fitting function, including:

[0019] Substitute the voltage level and capacity into the preset equipment life cycle cost fitting function, and calculate the minimum value of the preset equipment life cycle cost fitting function.

[0020] The minimum value is defined as the lowest operating cost, and the operating life corresponding to the minimum value is taken as the optimal operating life.

[0021] In combination with the first aspect, in some possible implementations, a treatment plan for the target transformer is determined according to the service life, operating cost, optimal service life and minimum operating cost, including:

[0022] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is greater than or equal to the minimum operating cost, an overhaul plan is adopted for the transformer.

[0023] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is less than the minimum operating cost, a scrapping plan is adopted for the transformer.

[0024] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is greater than or equal to the minimum operating cost, a reuse plan is adopted for the transformer.

[0025] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is less than the minimum operating cost, a technical transformation plan is adopted for the transformer.

[0026] In combination with the first aspect, in some possible implementations, the first preset parameter is 50%, and the second preset parameter is 80%.

[0027] In conjunction with the first aspect, in some possible implementations, based on the voltage level, capacity, service life and annual operating cost of various transformers currently in use, combined with the first formula, before obtaining the first set of equations, the method further includes:

[0028] Obtain the original data of voltage level, capacity, years of operation and annual operating cost of various transformers currently in use.

[0029] Eliminate abnormal data from each type of original data.

[0030] Each type of original data after removing abnormal data is normalized to obtain the voltage level, capacity, operation life and annual operating cost of various transformers currently in use.

[0031] In conjunction with the first aspect, in some possible implementations, the original data of annual operating costs include: original data of inspection costs, original data of maintenance costs, original data of switching costs, and original data of overhaul costs; and abnormal data in each type of original data is removed, including:

[0032] For each type of original data, the isolation forest algorithm is used to identify abnormal data in the data of this type of original data, and the abnormal data in this type of original data is marked and recorded as the first abnormal data in this type of original data; according to the frequency of occurrence of the original data of each cost in the original data of annual operating costs, the size of the cost and the years in which the cost occurs, the second abnormal data in the original data is obtained.

[0033] Based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, each type of original data after the abnormal data is eliminated is obtained.

[0034] In combination with the first aspect, in some possible implementations, based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, obtaining each type of original data after removing the abnormal data includes:

[0035] For each type of original data, the intersection of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain the first target abnormal data, and the first target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0036] Alternatively, for each type of original data, the union of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain second target abnormal data, and the second target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0037] In a second aspect, an embodiment of the present application provides a device for determining a transformer processing solution, including:

[0038] The data acquisition module is used to obtain the operation life, operation cost, voltage level and capacity of the target transformer.

[0039] The data operation module is used to determine the optimal operation life and minimum operating cost of the target transformer based on the voltage level, capacity and preset equipment life cycle cost fitting function.

[0040] The result output module is used to determine the treatment plan of the target transformer according to the operation life, operation cost, optimal operation life and minimum operation cost.

[0041] It can be understood that the beneficial effects of the second aspect mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0042] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0043] The present application obtains the optimal operation life and minimum operating cost of the target transformer through the voltage level, capacity and preset equipment full life cycle cost fitting function of the target transformer. Then, the treatment plan of the target transformer can be accurately determined according to the optimal operation life, minimum operating cost, operation life and operating cost of the target transformer, thereby avoiding the blindness of judging the transformer treatment plan based on experience, allowing the transformer to be reasonably treated and avoiding waste of resources.

[0044] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0046] Figure 1 It is a flowchart of a method for determining a transformer processing solution provided in an embodiment of the present application;

[0047] Figure 2 It is a structural schematic diagram of a transformer processing solution determination device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0048] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0049] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0050] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0051] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0052] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0053] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0054] The present application embodiment provides a method for determining a transformer processing solution. Figure 1 is a schematic diagram of a method for determining a transformer processing solution provided in an embodiment of the present application, with reference to Figure 1 , the method for determining the transformer treatment solution is described in detail as follows:

[0055] Step 101, obtaining the operation life, operation cost, voltage level and capacity of the target transformer.

[0056] Exemplarily, the capacity of the target transformer can be obtained according to its model. For example, for a transformer with a model number of "S11-M-1000 / 10", the meanings of the various parts are as follows: S: represents that it is a three-phase transformer. 11: This is the series number, indicating its energy efficiency level or design code. M: indicates that this is a fully sealed transformer. 1000: This is the rated capacity of the transformer, i.e. 1000kVA. 10: This is the rated voltage on the high voltage side, i.e. 10kV.

[0057] Step 102, determining the optimal operation life and the minimum operation cost of the target transformer according to the voltage level, the capacity and a preset equipment life cycle cost fitting function.

[0058] The life cycle cost (LCC) of equipment is the total life cost of the equipment from production to scrapping, which mainly includes the following five cost items: initial investment cost, operation and maintenance cost, maintenance cost, fault handling cost and scrapping cost.

[0059] Based on the lean management of production costs and in full combination with the actual business, the various cost components of LCC are as follows:

[0060] 1. Initial investment cost

[0061] It includes the initial investment costs of the project, such as equipment purchase costs, construction and installation costs, and other costs, but does not include demolition project costs.

[0062] 2. Operation and maintenance and troubleshooting costs

[0063] The operation, maintenance, and fault handling costs of the equipment after it is put into operation are divided into overhaul costs, special costs, and self-operated business costs. Including inspections, switching, daily maintenance, comprehensive overhaul, hidden danger and defect control, emergency repairs, etc. In view of the high reliability of the current power grid, the load loss caused by the failure of the main substation equipment is rare, and the costs of power outage losses and social impacts due to failures are not considered for the time being.

[0064] 3. Decommissioning costs

[0065] Includes disposal income, costs and other costs incurred during the decommissioning phase.

[0066] Exemplarily, the process of determining the pre-set equipment life cycle cost fitting function may be:

[0067] According to the voltage level, capacity, operation life and annual operation cost of various transformers currently in use, combined with the first formula, the first set of equations is obtained.

[0068] Solve the unknown parameters in the first formula to obtain the full life cycle cost fitting function of the preset equipment.

[0069] The first formula can be:

[0070] y=k1ax 2 -k2bx+k3

[0071] Among them, a represents the voltage level of the transformer currently in use, b represents the capacity of the transformer currently in use, x represents the operating life of the transformer currently in use, y represents the operating cost corresponding to the operating life of the transformer currently in use, k1 represents the first unknown parameter, k2 represents the second unknown parameter, and k3 represents the third unknown parameter.

[0072] For the transformer equipment put into operation, the macro modeling method is used to construct the full life cycle cost fitting function of the preset equipment.

[0073] (1) Quantification of historical costs. Based on the equipment-level production cost quantification rules, the equipment inspection, maintenance, switching, overhaul and special costs incurred from 2016 to 2023 are aggregated and allocated, quantified to the equipment, and form an equipment historical cost library.

[0074] (2) Historical cost statistics. The inspection, maintenance, switching, overhaul and special costs of equipment with different operating years are counted according to the voltage level, equipment type and other dimensions. The corresponding statistics are made for the number of equipment in each year in the data set. In order to ensure the accuracy of the subsequent random simulation, the equipment samples with a small number and a long operating time are deleted, and the deleted samples are used in the random simulation.

[0075] (3) Abnormal cost screening. The first round of abnormal cost screening is carried out on each operating cost of each type of equipment with different ages through screening methods such as the isolated forest outlier. Potential outliers are identified based on the frequency, size, and age of each type of expense and selected into the outlier list. Potential outliers are then tested and confirmed for the second time based on expert experience. The real outliers are eliminated and the remaining data is returned to the cost database. Finally, a revised historical cost database is obtained.

[0076] (4) A pre-set equipment life cycle cost fitting function is established. From the dimensions of equipment type, voltage level, etc., the annual operating costs of each type of equipment are fitted to obtain a pre-set equipment life cycle cost fitting function.

[0077] y=14.37ax 2 -280.28bx+2792910.23

[0078] Among them, a represents the voltage level of the transformer currently in use, in kV, and the value is {110kV, 220kV, 500kV}, b represents the capacity of the transformer currently in use, in kVA, and the value range is {40kVA, 50kVA, 120kVA, 180kVA, 240kVA, 250kVA, 334kVA}, x represents the operating life of the transformer currently in use, and y represents the operating cost corresponding to the operating life of the transformer currently in use.

[0079] In some specific embodiments, after fitting a large amount of data, the first unknown parameter may be 14.37, the second unknown parameter may be 280.28, and the third unknown parameter may be 2792910.23.

[0080] Exemplarily, solving the unknown parameters in the first formula to obtain a preset equipment life cycle cost fitting function may include:

[0081] The first unknown parameter, the second unknown parameter and the third unknown parameter in the first formula are solved by elimination method or back substitution method to obtain a fitting function of the full life cycle cost of the preset equipment.

[0082] In some specific embodiments, the elimination method is to first select an equation in the system of equations, and eliminate one of the variables by adding or subtracting appropriate multiples to obtain a new equation. This process is repeated until only one variable remains. The back substitution method is to first obtain the value of a variable, and then substitute it into the previous equation to solve for other variables.

[0083] Exemplarily, step 102 may include:

[0084] Substitute the voltage level and capacity into the preset equipment life cycle cost fitting function, and calculate the minimum value of the preset equipment life cycle cost fitting function.

[0085] The minimum value is defined as the lowest operating cost, and the operating life corresponding to the minimum value is taken as the optimal operating life.

[0086] Exemplarily, according to the voltage level, capacity, service life and annual operating cost of various transformers currently in use, combined with the first formula, before obtaining the first set of equations, the method further includes:

[0087] Obtain the original data of voltage level, capacity, years of operation and annual operating cost of various transformers currently in use.

[0088] Eliminate abnormal data from each type of original data.

[0089] Each type of original data after removing abnormal data is normalized to obtain the voltage level, capacity, operation life and annual operating cost of various transformers currently in use.

[0090] In some specific embodiments, the acquired data is subjected to anomaly elimination and normalization processing, which can ensure that the final result is more accurate, prevent abnormal data from affecting subsequent calculations, and ensure the accuracy of the final processing solution of the transformer.

[0091] Exemplarily, the original data of annual operating costs include: original data of inspection costs, original data of maintenance costs, original data of switching costs, and original data of overhaul costs.

[0092] Exemplarily, removing abnormal data from each type of original data may include:

[0093] For each type of original data, the isolation forest algorithm is used to identify abnormal data in the data of this type of original data, and the abnormal data in this type of original data is marked and recorded as the first abnormal data in this type of original data; according to the frequency of occurrence of the original data of each cost in the original data of annual operating costs, the size of the cost and the years in which the cost occurs, the second abnormal data in the original data is obtained.

[0094] Based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, each type of original data after the abnormal data is eliminated is obtained.

[0095] Exemplarily, based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, obtaining each type of original data after removing the abnormal data may include:

[0096] For each type of original data, the intersection of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain the first target abnormal data, and the first target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0097] Alternatively, for each type of original data, the union of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain second target abnormal data, and the second target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0098] In some specific embodiments, in order to ensure the accuracy of removing abnormal data, the intersection of two abnormal data can be used as the target abnormal data and then removed; the union of two abnormal data can also be used as the target abnormal data to be removed. In this way, the obtained original data can be guaranteed to be more accurate, thereby ensuring the accuracy of the final processing solution of the transformer.

[0099] Step 103: determining a treatment plan for the target transformer according to the operation life, the operating cost, the optimal operation life and the minimum operating cost.

[0100] Exemplarily, step 103 may include:

[0101] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is greater than or equal to the minimum operating cost, an overhaul plan is adopted for the transformer.

[0102] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is less than the minimum operating cost, a scrapping plan is adopted for the transformer.

[0103] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is greater than or equal to the minimum operating cost, a reuse plan is adopted for the transformer.

[0104] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is less than the minimum operating cost, a technical transformation plan is adopted for the transformer.

[0105] In some specific embodiments, an overhaul plan for a transformer means that the equipment is damaged and unusable and needs to be repaired (but not replaced with parts) to restore the original form and capacity of the equipment; a reuse plan for a transformer means that the equipment has reached its service life but has not been scrapped. An assessment is conducted based on actual conditions, and an assessment report is issued by the relevant department. If it is found that the equipment can still meet the use standards, it can continue to be used; a technical improvement plan for a transformer means that the main parts or accessories are replaced or upgraded using mature and advanced technologies, equipment, processes and materials, so that the equipment is updated, improved and matched to improve its safety and reliability and meet the requirements of intelligence, energy saving and environmental protection.

[0106] Exemplarily, the first preset parameter may be 50%, and the second preset parameter may be 80%.

[0107] The above-mentioned method for determining the transformer treatment plan obtains the optimal operation life and the minimum operating cost of the target transformer through the voltage level, capacity and preset equipment full life cycle cost fitting function of the target transformer. Then, the treatment plan of the target transformer can be accurately determined according to the optimal operation life, the minimum operating cost, the operation life and the operating cost of the target transformer, thereby avoiding the blindness of judging the transformer treatment plan based on experience, enabling the transformer to be reasonably treated and avoiding waste of resources.

[0108] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0109] Corresponding to the method for determining the transformer processing solution described in the above embodiment, Figure 2 A structural block diagram of a transformer processing solution determination device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0110] See also Figure 2 , the transformer processing solution determination device in the embodiment of the present application may include:

[0111] The data acquisition module 201 is used to obtain the operation life, operation cost, voltage level and capacity of the target transformer.

[0112] The data operation module 202 is used to determine the optimal operation life and the minimum operation cost of the target transformer according to the voltage level, capacity and the preset equipment life cycle cost fitting function.

[0113] The result output module 203 is used to determine the treatment plan of the target transformer according to the operation period, the operating cost, the optimal operation period and the minimum operating cost.

[0114] Exemplarily, the process of determining the pre-set equipment life cycle cost fitting function may be:

[0115] According to the voltage level, capacity, operation life and annual operation cost of various transformers currently in use, combined with the first formula, the first set of equations is obtained.

[0116] Solve the unknown parameters in the first formula to obtain the full life cycle cost fitting function of the preset equipment.

[0117] The first formula can be:

[0118] y=k1ax 2 -k2bx+k3

[0119] Among them, a represents the voltage level of the transformer currently in use, b represents the capacity of the transformer currently in use, x represents the operating life of the transformer currently in use, y represents the operating cost corresponding to the operating life of the transformer currently in use, k1 represents the first unknown parameter, k2 represents the second unknown parameter, and k3 represents the third unknown parameter.

[0120] Exemplarily, solving the unknown parameters in the first formula to obtain a preset equipment life cycle cost fitting function may include:

[0121] The first unknown parameter, the second unknown parameter and the third unknown parameter in the first formula are solved by elimination method or back substitution method to obtain a fitting function of the full life cycle cost of the preset equipment.

[0122] Exemplarily, the data operation module 202 may be used to:

[0123] Substitute the voltage level and capacity into the preset equipment life cycle cost fitting function, and calculate the minimum value of the preset equipment life cycle cost fitting function.

[0124] The minimum value is defined as the lowest operating cost, and the operating life corresponding to the minimum value is taken as the optimal operating life.

[0125] Exemplarily, the result output module 203 may be used to:

[0126] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is greater than or equal to the minimum operating cost, an overhaul plan is adopted for the transformer.

[0127] When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is less than the minimum operating cost, a scrapping plan is adopted for the transformer.

[0128] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is greater than or equal to the minimum operating cost, a reuse plan is adopted for the transformer.

[0129] When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is less than the minimum operating cost, a technical transformation plan is adopted for the transformer.

[0130] Exemplarily, the first preset parameter may be 50%, and the second preset parameter may be 80%.

[0131] Exemplarily, according to the voltage level, capacity, service life and annual operating cost of various transformers currently in use, combined with the first formula, before obtaining the first set of equations, the method may further include:

[0132] Obtain the original data of voltage level, capacity, years of operation and annual operating cost of various transformers currently in use.

[0133] Eliminate abnormal data from each type of original data.

[0134] Each type of original data after removing abnormal data is normalized to obtain the voltage level, capacity, operation life and annual operating cost of various transformers currently in use.

[0135] Exemplarily, the original data of annual operating costs include: original data of inspection costs, original data of maintenance costs, original data of switching costs, and original data of overhaul costs.

[0136] Exemplarily, removing abnormal data from each type of original data may include:

[0137] For each type of original data, the isolation forest algorithm is used to identify abnormal data in the data of this type of original data, and the abnormal data in this type of original data is marked and recorded as the first abnormal data in this type of original data; according to the frequency of occurrence of the original data of each cost in the original data of annual operating costs, the size of the cost and the years in which the cost occurs, the second abnormal data in the original data is obtained.

[0138] Based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, each type of original data after the abnormal data is eliminated is obtained.

[0139] Exemplarily, based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, obtaining each type of original data after removing the abnormal data may include:

[0140] For each type of original data, the intersection of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain the first target abnormal data, and the first target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0141] Alternatively, for each type of original data, the union of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain second target abnormal data, and the second target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

[0142] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0143] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0144] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0145] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0146] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned transformer processing scheme determination method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium.

[0147] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for determining a transformer treatment solution, characterized in that: include: Obtain the operating life, operating cost, voltage level and capacity of the target transformer; Determine the optimal operation period and the minimum operation cost of the target transformer according to the voltage level, the capacity and a preset equipment life cycle cost fitting function; A treatment plan for the target transformer is determined according to the operation period, the operating cost, the optimal operation period and the minimum operating cost.

2. The method for determining a transformer treatment solution according to claim 1, characterized in that: The process of determining the preset equipment life cycle cost fitting function is as follows: According to the voltage level, capacity, operation life and annual operation cost of various transformers currently in use, combined with the first formula, the first set of equations is obtained; Solving the unknown parameters in the first formula to obtain the full life cycle cost fitting function of the preset equipment; The first formula is: y=k1ax 2 -k2bx+k3 Among them, a represents the voltage level of the transformer currently in use, b represents the capacity of the transformer currently in use, x represents the operating life of the transformer currently in use, y represents the operating cost corresponding to the operating life of the transformer currently in use, k1 represents the first unknown parameter, k2 represents the second unknown parameter, and k3 represents the third unknown parameter.

3. The method for determining a transformer treatment solution according to claim 2, characterized in that: The step of solving the unknown parameters in the first formula to obtain the preset equipment life cycle cost fitting function includes: The first unknown parameter, the second unknown parameter and the third unknown parameter in the first formula are solved by elimination method or back substitution method to obtain the full life cycle cost fitting function of the preset equipment.

4. The method for determining a transformer treatment solution according to claim 1, characterized in that: The determining the optimal operation period and the minimum operation cost of the target transformer according to the voltage level, the capacity and the preset equipment life cycle cost fitting function includes: Substituting the voltage level and the capacity into the preset equipment life cycle cost fitting function, and calculating the minimum value of the preset equipment life cycle cost fitting function; The minimum value is defined as the minimum operating cost, and the operation period corresponding to the minimum value is defined as the optimal operation period.

5. The method for determining a transformer treatment solution according to claim 1, characterized in that: The step of determining a treatment plan for the target transformer according to the operation period, the operating cost, the optimal operation period and the minimum operating cost includes: When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is greater than or equal to the minimum operating cost, an overhaul plan is adopted for the transformer; When the operating life is greater than the optimal operating life, and the product of the operating cost and the first preset parameter is less than the minimum operating cost, a scrapping plan is adopted for the transformer; When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is greater than or equal to the minimum operating cost, a reuse plan is adopted for the transformer; When the operating life is less than the optimal operating life, and the product of the operating cost and the second preset parameter is less than the minimum operating cost, a technical transformation plan is adopted for the transformer.

6. The method for determining a transformer treatment solution according to claim 5, characterized in that: The first preset parameter is 50%, and the second preset parameter is 80%.

7. The method for determining a transformer treatment solution according to claim 2, characterized in that: Before obtaining the first set of equations based on the voltage level, capacity, service life and annual operating cost of various transformers currently in use and in combination with the first formula, the method further includes: Obtain the original data of voltage level, capacity, years of operation and annual operating cost of various transformers currently in use; Eliminate abnormal data from each of the original data; Each type of original data after removing abnormal data is normalized to obtain the voltage level, capacity, operation life and annual operating cost of various transformers currently in use.

8. The method for determining a transformer treatment solution according to claim 7, characterized in that: The original data of annual operating costs include: original data of patrol costs, original data of maintenance costs, original data of switching costs and original data of overhaul costs; the elimination of abnormal data in each of the original data includes: For each type of original data, the data in the original data is identified as abnormal data by using the isolation forest algorithm, and the abnormal data in the original data is marked as the first abnormal data in the original data; according to the frequency of occurrence of the original data of each cost in the original data of the annual operating cost, the size of the cost and the year in which the cost occurs, the second abnormal data in the original data is obtained; Based on the first abnormal data in each type of original data and the second abnormal data in each type of original data, each type of original data after the abnormal data is eliminated is obtained.

9. The method for determining a transformer treatment solution according to claim 8, characterized in that: The step of obtaining each type of original data after removing the abnormal data based on the first abnormal data in each type of original data and the second abnormal data in each type of original data comprises: For each type of original data, calculate the intersection of first abnormal data in the original data and second abnormal data in the original data to obtain first target abnormal data, and remove the first target abnormal data from the original data to obtain the original data after the abnormal data is removed; Alternatively, for each type of original data, the union of the first abnormal data in the original data and the second abnormal data in the original data is calculated to obtain second target abnormal data, and the second target abnormal data is removed from the original data to obtain the original data after the abnormal data is removed.

10. A device for determining a transformer treatment solution, characterized in that: include: A data acquisition module is used to obtain the operating life, operating cost, voltage level and capacity of the target transformer; A data operation module, used to determine the optimal operation period and the minimum operation cost of the target transformer according to the voltage level, the capacity and a preset equipment life cycle cost fitting function; The result output module is used to determine a treatment plan for the target transformer according to the operation period, the operating cost, the optimal operation period and the minimum operating cost.

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