Equipment failure shutdown parameter correction method, device, terminal equipment and medium

Abstract

The present invention discloses a method, device, terminal device and medium for correcting equipment failure outage parameters, the method comprising: determining the characteristic parameters of the power grid and the reliability statistical index of the measured area; obtaining the statistical values ​​of the equipment failure outage parameters of other areas that have a correlation with the measured area; constructing an equipment failure outage parameter boundary check function according to the characteristic parameters of the power grid and the reliability statistical index, and the statistical values ​​of the equipment failure outage parameters; inputting the historical statistical values ​​of the equipment failure outage parameters of the measured area into the equipment failure outage parameter boundary check function to generate the equipment failure outage parameter correction result. The present invention solves the problem that the statistical deviation of the equipment failure outage parameters is large and is more affected by human interference, ensures the accuracy of the theoretical evaluation of the power supply reliability of the distribution network, and can provide a reference basis for reliability management.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply reliability of distribution network, and in particular to a method, device, terminal equipment and medium for correcting equipment failure shutdown parameters. Background Art

[0002] Theoretical evaluation of power supply reliability is an important part of the reliability work of distribution network. As one of the important calculation parameters of theoretical evaluation of power supply reliability, the collection of equipment failure shutdown parameters often leads to large deviations between statistical values ​​and actual values ​​due to deviations in statistical caliber and excessive manual intervention, which not only seriously affects the accuracy of theoretical evaluation results of power supply reliability, but also brings certain troubles to reliability management work.

[0003] In order to reduce the interference of various influencing factors, the average value of equipment failure outage parameters in the last 3 to 5 years is usually used for correction. However, this method also has shortcomings: for example, due to changes in statistical standards or interference from various external factors, the equipment failure outage parameters in recent years may have sudden changes or low credibility. At this time, the average value is also difficult to reflect the true level of the equipment failure outage parameters. Therefore, a method for correcting equipment failure outage parameters is urgently needed to solve the above problems. Summary of the invention

[0004] The object of the present invention is to provide a method, device, terminal device and readable medium for correcting equipment failure shutdown parameters, so as to solve the problem of low accuracy of existing equipment failure shutdown parameter correction results.

[0005] To achieve the above object, the present invention provides a method for correcting equipment failure shutdown parameters, comprising:

[0006] Determine the characteristic parameters and reliability statistical indicators of the power grid in the measured area;

[0007] Obtaining statistical values ​​of equipment failure outage parameters in other areas that are related to the measured area;

[0008] Constructing an equipment failure outage parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the equipment failure outage parameter statistical values;

[0009] The historical statistical values ​​of the equipment failure outage parameters in the measured area are input into the equipment failure outage parameter boundary verification function to generate the equipment failure outage parameter correction result.

[0010] The equipment failure outage rate boundary check function includes:

[0011] F1(x)=α1x1+α2x2+α3x3;

[0012] Among them, α1, α2, α3 are proportional coefficients respectively, and x1, x2, x3 are cleaning values ​​of the input parameters of the failure downtime rate of the three types of equipment respectively;

[0013] The cleaning values ​​of the three types of equipment failure downtime rate input parameters include:

[0014]

[0015] x2=γδfN / L;

[0016]

[0017] Where, d i is the equipment failure outage rate in the last 3 to 5 years, n is the effective number of years after removing zero values, γ is the proportionality coefficient, δ is the equipment type scaling coefficient, L is the total length of the medium voltage line, f is the average fault outage frequency index of the system; N is the number of medium voltage users, y i is the equipment failure downtime rate of adjacent regions or other regions with similar levels, and m is the number of valid regions after eliminating zero values;

[0018] The equipment fault repair time boundary check function includes:

[0019] F2(t)=β1t1+β2t2+β3t3;

[0020] Among them, β1, β2, β3 are proportional coefficients respectively, and t1, t2, t3 are cleaning values ​​of the input parameters of the fault repair time of the three types of equipment respectively;

[0021] The cleaning values ​​of the three types of equipment fault repair time input parameters include:

[0022]

[0023] t2=ρδT / f;

[0024]

[0025] Among them, e i is the equipment failure repair time in the last 3 to 5 years, n is the effective number of years after removing zero values, ρ is the proportionality coefficient, δ is the equipment type scaling coefficient, T is the system average failure power outage time, f is the system average failure power outage frequency index, z i is the equipment failure repair time of adjacent regions or other regions with similar levels, and m is the number of valid regions after excluding zero values.

[0026] Furthermore, preferably, the historical statistical values ​​of equipment failure and outage parameters in the measured area include failure and outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches.

[0027] Further, as a preferred embodiment, the grid characteristic parameters and reliability statistical indicators include cabling rate, convertible power supply rate, feeder automation coverage rate, total length of medium-voltage lines, average length of medium-voltage lines, average number of overhead line sections, number of medium-voltage users, time for fault repair to arrive at the scene, average system fault power outage frequency and average system fault power outage time.

[0028] Further, as a preferred embodiment, the equipment failure outage parameter boundary check function includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function.

[0029] The present invention also provides a device for correcting equipment failure shutdown parameters, comprising:

[0030] An index determination unit, used to determine the characteristic parameters and reliability statistical indicators of the power grid in the measured area;

[0031] A parameter acquisition unit, used to acquire statistical values ​​of equipment failure and outage parameters in other areas that are related to the measured area;

[0032] A function construction unit, used to construct an equipment failure shutdown parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the equipment failure shutdown parameter statistical values;

[0033] The parameter correction unit is used to input the historical statistical values ​​of the equipment failure outage parameters in the measured area into the equipment failure outage parameter boundary verification function to generate the equipment failure outage parameter correction result.

[0034] The equipment failure outage rate boundary check function includes:

[0035] F1(x)=α1x1+α2x2+α3x3;

[0036] Among them, α1, α2, α3 are proportional coefficients respectively, and x1, x2, x3 are cleaning values ​​of the input parameters of the failure downtime rate of the three types of equipment respectively;

[0037] The cleaning values ​​of the three types of equipment failure downtime rate input parameters include:

[0038]

[0039] x2=γδfN / L;

[0040]

[0041] Where, d iis the equipment failure outage rate in the last 3 to 5 years, n is the effective number of years after removing zero values, γ is the proportionality coefficient, δ is the equipment type scaling coefficient, L is the total length of the medium voltage line, f is the average fault outage frequency index of the system; N is the number of medium voltage users, y i is the equipment failure downtime rate of adjacent regions or other regions with similar levels, and m is the number of valid regions after eliminating zero values;

[0042] The equipment fault repair time boundary check function includes:

[0043] F2(t)=β1t1+β2t2+β3t3;

[0044] Among them, β1, β2, β3 are proportional coefficients respectively, and t1, t2, t3 are cleaning values ​​of the input parameters of the fault repair time of the three types of equipment respectively;

[0045] The cleaning values ​​of the three types of equipment fault repair time input parameters include:

[0046]

[0047] t2=ρδT / f;

[0048]

[0049] Among them, e i is the equipment failure repair time in the last 3 to 5 years, n is the effective number of years after removing zero values, ρ is the proportionality coefficient, δ is the equipment type scaling coefficient, T is the system average failure power outage time, f is the system average failure power outage frequency index, z i is the equipment failure repair time of adjacent regions or other regions with similar levels, and m is the number of valid regions after excluding zero values.

[0050] Furthermore, preferably, the historical statistical values ​​of equipment failure and outage parameters in the measured area include failure and outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches.

[0051] Further, as a preferred embodiment, the grid characteristic parameters and reliability statistical indicators include cabling rate, convertible power supply rate, feeder automation coverage rate, total length of medium-voltage lines, average length of medium-voltage lines, average number of overhead line sections, number of medium-voltage users, time for fault repair to arrive at the scene, average system fault power outage frequency and average system fault power outage time.

[0052] Further, as a preferred embodiment, the equipment failure outage parameter boundary check function includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function.

[0053] The present invention also provides a terminal device, comprising:

[0054] one or more processors;

[0055] A memory, coupled to the processor, for storing one or more programs;

[0056] When the one or more programs are executed by the one or more processors, the one or more processors implement the equipment failure shutdown parameter correction method as described in any one of the above items.

[0057] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for correcting equipment failure shutdown parameters as described in any one of the above items is implemented.

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] The present invention discloses a method, device, terminal device and medium for correcting equipment failure outage parameters, the method comprising: determining the characteristic parameters of the power grid and the reliability statistical index of the measured area; obtaining the statistical values ​​of the equipment failure outage parameters of other areas that have a correlation with the measured area; constructing an equipment failure outage parameter boundary check function according to the characteristic parameters of the power grid and the reliability statistical index, and the statistical values ​​of the equipment failure outage parameters; inputting the historical statistical values ​​of the equipment failure outage parameters of the measured area into the equipment failure outage parameter boundary check function to generate the equipment failure outage parameter correction result. The present invention solves the problem that the statistical deviation of the equipment failure outage parameters is large and is more affected by human interference, ensures the accuracy of the theoretical evaluation of the power supply reliability of the distribution network, and can provide a reference basis for reliability management. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the implementation mode will be briefly introduced below. Obviously, the drawings described below are only some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0061] Figure 1 It is a flow chart of a method for correcting equipment failure shutdown parameters provided by a certain embodiment of the present invention;

[0062] Figure 2 It is a structural schematic diagram of a device for correcting equipment failure shutdown parameters provided by a certain embodiment of the present invention;

[0063] Figure 3 It is a schematic diagram of the structure of a terminal device provided by a certain embodiment of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0066] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0067] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0068] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0069] See also Figure 1 , a certain embodiment of the present invention provides a method for correcting equipment failure shutdown parameters. Figure 1 As shown, the equipment failure shutdown parameter correction method includes steps S10 to S40. The specific steps are as follows:

[0070] S10, determining the characteristic parameters and reliability statistical indicators of the power grid in the measured area;

[0071] In an exemplary embodiment, the grid characteristic parameters and reliability statistical indicators include the cabling rate, the convertible power supply rate, the feeder automation coverage rate, the total length of the medium-voltage line, the average length of the medium-voltage line, the average number of overhead line sections, the number of medium-voltage users, the time for fault repair to arrive at the scene, the average system fault power outage frequency and the average system fault power outage time.

[0072] S20, obtaining statistical values ​​of equipment failure and shutdown parameters in other areas that are related to the measured area;

[0073] In this step, it should be noted that the correlation with the measured area refers to the adjacent area to the measured area, or other areas with similar reliability levels. Among them, the similar reliability level can be that the average system fault power outage time and the average system fault power outage frequency of the two places are similar.

[0074] S30, constructing an equipment failure shutdown parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the equipment failure shutdown parameter statistical values;

[0075] In a specific embodiment, the equipment failure outage parameter boundary check function described in this step includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function.

[0076] Specifically, executing step S30 further includes the following sub-steps:

[0077] 1) Construct a boundary check function for equipment failure downtime rate:

[0078] F1(x)=α1x1+α2x2+α3x3(1)

[0079] Among them, α1, α2, α3 are proportional coefficients, and they satisfy α1+α2+α3=1; x1, x2, x3 are the cleaning values ​​of the input parameters of the failure downtime rate of the three types of equipment, among which,

[0080]

[0081] Among them, d i is the equipment failure downtime rate in the last 3 to 5 years (excluding values ​​of 0), and n is the effective number of years after excluding zero values.

[0082] x2=γδfN / L(3)

[0083] Among them, γ is the proportional coefficient, which ranges from 2 to 4; δ is the equipment type scaling factor, taking the overhead line as the benchmark (i.e., δ = 1), and other equipment types are scaled according to the ratio of their x1 value to the x1 value of the overhead line (i.e., ); f is the average fault outage frequency index of the system; N is the number of medium voltage users; L is the total length of the medium voltage line.

[0084]

[0085] Among them, y i is the equipment failure downtime rate of adjacent regions or other regions with similar levels (excluding values ​​of 0), and m is the number of valid regions after excluding zero values.

[0086] 2) Construct a device fault repair time boundary check function:

[0087] F2(t)=β1t1+β2t2+β3t3(5)

[0088] Among them, β1, β2, β3 are proportional coefficients, and they satisfy β1+β2+β3=1; t1, t2, t3 are the cleaning values ​​of the input parameters of the fault repair time of the three types of equipment, respectively.

[0089]

[0090] Among them, e i is the equipment failure repair time in the last 3 to 5 years (excluding values ​​of 0), and n is the effective number of years after excluding zero values.

[0091] t2=ρδT / f(7)

[0092] Among them, ρ is the proportionality coefficient, and its specific value is determined by the grid characteristic parameters; δ is the equipment type scaling factor, taking the overhead line as the benchmark (i.e., δ = 1), and other equipment types are scaled according to the ratio of their t1 value to the t1 value of the overhead line (i.e., );T is the average fault power outage time of the system; f is the average fault power outage frequency index of the system.

[0093]

[0094] Among them, z i is the equipment failure repair time of adjacent regions or other regions with similar levels (excluding values ​​of 0), and m is the number of valid regions after excluding zero values.

[0095] S40, inputting historical statistical values ​​of the equipment failure outage parameters in the measured area into the equipment failure outage parameter boundary check function to generate equipment failure outage parameter correction results.

[0096] In one embodiment, before executing step S40, historical statistical values ​​of equipment failure outage parameters in the measured area are first obtained, including failure outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches. These values ​​are then input into the equipment failure outage parameter boundary check function to automatically generate correction results.

[0097] In order to help understand the scheme protected by the present invention, in a specific embodiment, the method of the present invention is described by taking the equipment failure outage parameters in a certain area in the past three years as an example:

[0098] First, the equipment failure and outage parameters of a certain region in the past three years are obtained, as shown in Table 1:

[0099] Table 1 Equipment outage parameters in a certain region in the past three years

[0100]

[0101]

[0102] Furthermore, the characteristic parameters and reliability statistical indicators of the power grid in the region are obtained, as shown in Table 2:

[0103] index unit Statistics Cable rate ％ 74.71 Power supply rate ％ 93.40 Feeder automation coverage ％ 78.35 Total length of medium voltage line km 5303.52 Average length of medium voltage lines km 10.94 Average number of overhead line sections part 1.88 Number of medium voltage users household 9242 Time for emergency repair to arrive at the scene h 0.75 Average power outage frequency of system failure Times / Household 0.84 System mean outage time h / household 1.70

[0104] Furthermore, the statistical values ​​of equipment failure outage parameters of the adjacent areas of the region or other areas with similar reliability levels as the region are obtained, as shown in Table 3:

[0105]

[0106]

[0107] First, taking the overhead line failure outage rate as an example, we can obtain the following equations using formulas (2), (3) and (4):

[0108]

[0109] x2=3*1*0.84*9242 / 5303.52=4.391(take γ=3)(10)

[0110]

[0111] Then substitute formula (9-11) into formula (1) to obtain:

[0112] F1(x)=α1x1+α2x2+α3x3=0.4*5.173+0.3*4.391+0.3*6.187=5.243(12)

[0113] Therefore, 5.243 is a reasonable correction value for the overhead line failure outage rate.

[0114] Second: Taking the cable failure outage rate as an example, we can obtain the following equations:

[0115]

[0116] x 2' =3*5.173 / 2.07*0.84*9242 / 5303.52=1.757(take γ=3)(14)

[0117]

[0118] Then substitute formula (13-15) into formula (1) to obtain:

[0119] F1(x)=α1x1+α2x2+α3x3=0.4*2.07+0.3*1.757+0.3*3.3=2.345(16)

[0120] Therefore, 2.345 is a reasonable correction value for the cable failure outage rate.

[0121] Third: Taking the overhead line fault repair time as an example, we can obtain the following equations (6), (7) and (8):

[0122]

[0123] t2=1.4*1*1.70 / 0.84=2.83(take ρ=1.4)(18)

[0124]

[0125] Then substitute formula (17-19) into formula (4) to obtain:

[0126] F2(t)=β1t1+β2t2+β3t3=0.4*2.5+0.3*2.83+0.3*3.07=2.77(20)

[0127] Therefore, 2.77 is the reasonable overhead line fault repair time.

[0128] Fourth: Taking the cable fault repair time as an example, we can obtain the following equations according to formulas (6), (7) and (8):

[0129]

[0130] t 2' =1.4*3.78 / 2.5*1.70 / 0.84=4.28(take ρ=1.4)(22)

[0131]

[0132] Then substitute formula (21-23) into formula (4) to obtain:

[0133] F2(t)=β1t1+β2t2+β3t3=0.4*3.78+0.3*4.28+0.3*4.27=4.08(24)

[0134] Therefore, 4.08 is a reasonable cable fault repair time.

[0135] To sum up, the equipment failure shutdown parameter correction method provided in the embodiment of the present invention solves the problem that the statistical deviation of equipment failure shutdown parameters is large and is more affected by human interference, ensures the accuracy of the theoretical evaluation of power supply reliability of the distribution network, and can provide a reference basis for reliability management.

[0136] See also Figure 2 A certain embodiment of the present invention further provides a device for correcting equipment failure shutdown parameters, comprising:

[0137] The index determination unit 01 is used to determine the characteristic parameters and reliability statistical indicators of the power grid in the measured area;

[0138] A parameter acquisition unit 02, used to acquire equipment failure and outage parameter statistics of other areas that are related to the measured area;

[0139] A function construction unit 03 is used to construct a device failure outage parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the device failure outage parameter statistical values;

[0140] The parameter correction unit 04 is used to input the historical statistical values ​​of the equipment failure outage parameters in the measured area into the equipment failure outage parameter boundary check function to generate equipment failure outage parameter correction results.

[0141] In one embodiment, the historical statistical values ​​of equipment failure and outage parameters in the measured area include failure and outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches.

[0142] In a certain embodiment, the grid characteristic parameters and reliability statistical indicators include cabling rate, convertible power supply rate, feeder automation coverage rate, total length of medium-voltage lines, average length of medium-voltage lines, average number of overhead line sections, number of medium-voltage users, time for fault repair to arrive at the scene, average system fault power outage frequency and average system fault power outage time.

[0143] In one embodiment, the equipment failure outage parameter boundary check function includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function.

[0144] It is understandable that the device for correcting equipment failure outage parameters provided in the embodiment of the present invention is used to execute the method for correcting equipment failure outage parameters as described in any of the above embodiments. This embodiment solves the problem that the statistical deviation of equipment failure outage parameters is large and is more affected by human interference, ensures the accuracy of the theoretical evaluation of power supply reliability of the distribution network, and can provide a reference basis for reliability management.

[0145] See also Figure 3 , a certain embodiment of the present invention provides a terminal device, including:

[0146] one or more processors;

[0147] A memory, coupled to the processor, for storing one or more programs;

[0148] When the one or more programs are executed by the one or more processors, the one or more processors implement the equipment failure shutdown parameter correction method as described above.

[0149] The processor is used to control the overall operation of the terminal device to complete all or part of the steps of the above-mentioned equipment failure shutdown parameter correction method. The memory is used to store various types of data to support the operation of the terminal device, and these data may include, for example, instructions for any application or method used to operate on the terminal device, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0150] In an exemplary embodiment, the terminal device can be implemented by one or more application specific integrated circuits (Application Specific 1n Integrated Circuit, ASC), digital signal processors (Digital Signal Processor, DSP), digital signal processing devices (Digital Signal Processing Device, DSPD), programmable logic devices (Programmable Logic Device, PLD), field programmable gate arrays (Field Programmable Gate Array, FPGA), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the equipment fault shutdown parameter correction method described in any of the above embodiments, and achieve the technical effect consistent with the above method.

[0151] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided, and when the computer program is executed by a processor, the steps of the equipment failure shutdown parameter correction method as described in any of the above embodiments are implemented. For example, the computer-readable storage medium can be the above-mentioned memory including the computer program, and the above-mentioned computer program can be executed by the processor of the terminal device to complete the equipment failure shutdown parameter correction method as described in any of the above embodiments, and achieve the technical effect consistent with the above method.

[0152] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for correcting equipment failure shutdown parameters, characterized in that: include: Determine the characteristic parameters and reliability statistical indicators of the power grid in the measured area; Obtaining statistical values ​​of equipment failure outage parameters in other areas that are related to the measured area; Constructing an equipment failure outage parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the equipment failure outage parameter statistical values; Inputting historical statistical values ​​of equipment failure outage parameters in the measured area into the equipment failure outage parameter boundary check function to generate equipment failure outage parameter correction results; The historical statistical values ​​of equipment failure and outage parameters in the measured area include failure and outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches; The grid characteristic parameters and reliability statistical indicators include cable rate, transferable power supply rate, feeder automation coverage rate, total length of medium-voltage lines, average length of medium-voltage lines, average number of overhead line sections, number of medium-voltage users, time for emergency repair to arrive at the scene, average frequency of system fault outages and average system fault outage time; The equipment failure outage parameter boundary check function includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function; The equipment failure outage rate boundary check function includes: F1(x)=α1x1+α2x2+α3x3; Among them, α1, α2, α3 are proportional coefficients respectively, and x1, x2, x3 are cleaning values ​​of the input parameters of the failure downtime rate of the three types of equipment respectively; The cleaning values ​​of the three types of equipment failure downtime rate input parameters include: x2=γδfN / L; Where, d i is the equipment failure outage rate in the last 3 to 5 years, n is the effective number of years after removing zero values, γ is the proportionality coefficient, δ is the equipment type scaling coefficient, L is the total length of the medium voltage line, f is the average fault outage frequency index of the system; N is the number of medium voltage users, y i is the equipment failure downtime rate of adjacent regions or other regions with similar levels, and m is the number of valid regions after eliminating zero values; The equipment fault repair time boundary check function includes: F2(t)=β1t1+β2t2+β3t3; Among them, β1, β2, β3 are proportional coefficients respectively, and t1, t2, t3 are cleaning values ​​of the input parameters of the fault repair time of the three types of equipment respectively; The cleaning values ​​of the three types of equipment fault repair time input parameters include: t2=ρδT / f; Among them, e i is the equipment failure repair time in the last 3 to 5 years, n is the effective number of years after removing zero values, ρ is the proportionality coefficient, δ is the equipment type scaling coefficient, T is the system average failure power outage time, f is the system average failure power outage frequency index, z i is the equipment failure repair time of adjacent regions or other regions with similar levels, and m is the number of valid regions after excluding zero values.

2. A device for correcting equipment failure shutdown parameters, characterized in that: include: An index determination unit, used to determine the characteristic parameters and reliability statistical indicators of the power grid in the measured area; A parameter acquisition unit, used to acquire statistical values ​​of equipment failure and outage parameters in other areas that are related to the measured area; A function construction unit, used to construct an equipment failure shutdown parameter boundary check function according to the power grid characteristic parameters and reliability statistical indicators and the equipment failure shutdown parameter statistical values; A parameter correction unit, used for inputting historical statistical values ​​of equipment failure outage parameters in the measured area into the equipment failure outage parameter boundary check function to generate equipment failure outage parameter correction results; The historical statistical values ​​of equipment failure and outage parameters in the measured area include failure and outage rates and fault repair times of overhead lines, cables, transformers, circuit breakers and other switches; The grid characteristic parameters and reliability statistical indicators include cable rate, transferable power supply rate, feeder automation coverage rate, total length of medium-voltage lines, average length of medium-voltage lines, average number of overhead line sections, number of medium-voltage users, time for emergency repair to arrive at the scene, average frequency of system fault outages and average system fault outage time; The equipment failure outage parameter boundary check function includes an equipment failure outage rate boundary check function and an equipment failure repair time boundary check function; The equipment failure outage rate boundary check function includes: F1(x)=α1x1+α2x2+α3x3; Among them, α1, α2, α3 are proportional coefficients respectively, and x1, x2, x3 are cleaning values ​​of the input parameters of the failure downtime rate of the three types of equipment respectively; The cleaning values ​​of the three types of equipment failure downtime rate input parameters include: x2=γδfN / L; Where, d i is the equipment failure outage rate in the last 3 to 5 years, n is the effective number of years after removing zero values, γ is the proportionality coefficient, δ is the equipment type scaling coefficient, L is the total length of the medium voltage line, f is the average fault outage frequency index of the system; N is the number of medium voltage users, y i is the equipment failure downtime rate of adjacent regions or other regions with similar levels, and m is the number of valid regions after eliminating zero values; The equipment fault repair time boundary check function includes: F2(t)=β1t1+β2t2+β3t3; Among them, β1, β2, β3 are proportional coefficients respectively, and t1, t2, t3 are cleaning values ​​of the input parameters of the fault repair time of the three types of equipment respectively; The cleaning values ​​of the three types of equipment fault repair time input parameters include: t2=ρδT / f; Among them, e i is the equipment failure repair time in the last 3 to 5 years, n is the effective number of years after removing zero values, ρ is the proportionality coefficient, δ is the equipment type scaling coefficient, T is the system average failure power outage time, f is the system average failure power outage frequency index, z i is the equipment failure repair time of adjacent regions or other regions with similar levels, and m is the number of valid regions after excluding zero values.

3. A terminal device, characterized in that: include: one or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the equipment failure shutdown parameter correction method as claimed in claim 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for correcting equipment failure shutdown parameters according to claim 1 is implemented.

Images