Black module risk assessment method and device based on converter valve whole tower pressurization test

Abstract

The invention discloses a converter valve whole tower pressurization test-based black module risk assessment method and device, and relates to the technical field of direct current transmission converter valves, and the method comprises the steps: determining a time difference value between the moment of a first sub-module in communication with a valve control in each valve tower and the moment of a subsequent sub-module in communication with the valve control, the time is taken as relative time for establishing communication between each sub-module in each valve tower and valve control; and determining that the sub-module corresponding to the relative time has the risk of a black module according to the relationship between the relative time and a first preset time. The method greatly reduces the probability of black modules after the converter valve is started, improves the operation safety and stability of the flexible DC converter valve, reduces the system shutdown time, improves the energy availability of the converter station, and improves the new energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of direct current transmission converter valves, and can also be used in the financial field, and in particular to a black module risk assessment method and device based on converter valve whole tower pressurization testing. Background Art

[0002] At present, the method for status testing of submodules and black module risk assessment in the prior art is: a single valve tower is batch charged through a whole-tower pressurization test device for a converter valve to detect the time difference between the submodule central control board card of the last submodule and the first submodule in a single valve tower completing the startup and establishing communication with the valve control, and the energy supply of the submodule and the startup speed of the central control board are judged according to the detected time difference, so as to evaluate whether there is a risk of black module in the status of the submodule in the valve tower.

[0003] The following problems exist in the prior art: since the whole-tower pressurization test device for the converter valve is manually powered on and has no timing device with the valve control background, it is impossible to accurately measure the time it takes for each submodule to start charging and for the central control board to complete startup and establish communication with the valve control. Therefore, it is impossible to accurately assess whether there is a risk of a black module in each submodule during the subsequent startup process.

[0004] Secondly, the current black module risk assessment method is that if the difference between the time when the central control board of the last submodule of a single valve tower completes startup and establishes communication with the valve control and the time when the central control board of the first submodule of a single valve tower completes startup and establishes communication with the valve control is less than a fixed time, then the risk of black modules in all submodules of the valve tower is considered to be very low. However, since only the relative time difference is known, it is impossible to accurately measure the time taken by the first submodule from the start of charging to the establishment of communication with the valve control, so there is a possibility that the time for the submodule to establish communication with the valve control in the valve tower will time out.

[0005] Finally, since the test background only records the time difference between the sub-module central control board of the last sub-module and the first sub-module in each valve tower to complete the startup and establish communication with the valve control, it does not record the relative time for each sub-module to establish communication with the valve control. As a result, it is impossible to conduct a risk assessment of the sub-module status to determine whether there is a risk of black modules.

[0006] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section. Summary of the invention

[0007] The embodiment of the present invention provides a black module risk assessment method based on the whole-tower pressurization test of the converter valve, which is used to assess whether there is a risk of a black module in the submodule. There is no need to measure the absolute time for each submodule of each valve tower to establish communication with the valve control, thereby avoiding the software and hardware modification of the whole-tower pressurization test device of the converter valve.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0009] In a first aspect, the present invention provides a black module risk assessment method based on a converter valve whole tower pressurization test, comprising:

[0010] Determine the time difference between the time when the first submodule in each valve tower establishes communication with the valve control and the time when the subsequent submodules establish communication with the valve control as the relative time when each submodule in each valve tower establishes communication with the valve control;

[0011] According to the relationship between the relative time and the first preset time, it is determined that the submodule corresponding to the relative time has a risk of being a black module, wherein the first preset time is determined according to the statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

[0012] Further, determining, according to the relationship between the relative time and the first preset time, that there is a risk of a black module in the submodule corresponding to the relative time includes:

[0013] If the relative time is less than or equal to the first preset time, the relative time change corresponding to adjacent years of the submodule is compared vertically with the change threshold through the trend anomaly algorithm to determine whether the submodule corresponding to the relative time has the risk of being a black module; wherein the change threshold is the statistical average of the relative time change corresponding to adjacent years of all submodules in each valve tower.

[0014] Furthermore, in the process of comparing the relative time changes corresponding to adjacent years of the submodules with the change threshold value longitudinally through the trend anomaly algorithm, if the comparison result is less than or equal to, the relative time of establishing communication between each submodule and the valve control in each valve tower is sorted according to the preset rules to obtain the sorting result;

[0015] Determine the change in relative time corresponding to adjacent submodules in the sorting result;

[0016] The change amount is compared with a preset threshold horizontally through a trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of being a black module.

[0017] Furthermore, if the submodule is detected as a black module during the uncontrolled charging stage of the converter valve, it is determined whether the submodule has a risk of being a black module according to the sorting result.

[0018] Further, judging whether the submodule has a high risk of being a black module according to the sorting result includes:

[0019] Determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking;

[0020] If the ranking of the relative time corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than a second preset time, it is determined that the other submodules after the ranking of the submodule all have a high risk of being black modules;

[0021] If the ranking of the submodule is before the preset ranking of the sorting result, it is determined that the submodule is a central control board or a power supply circuit has occasional abnormality.

[0022] In the second aspect, the embodiment of the present invention also provides a black module risk assessment device based on the whole tower pressurization test of the converter valve, which is used to perform black module risk assessment on the submodule, avoiding the judgment method of single threshold comparison in the prior art, and greatly improving the accuracy of black module risk assessment. The device includes:

[0023] A data generation module, used to determine the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control, as the relative time when each submodule in each valve tower establishes communication with the valve control;

[0024] A data processing module is used to determine the risk of a black module in the submodule corresponding to the relative time based on the relationship between the relative time and a first preset time, wherein the first preset time is a statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

[0025] Further, if the relative time is less than or equal to the first preset time, the data processing module is specifically used to vertically compare the change in the relative time corresponding to the sub-module in adjacent years with the change threshold through a trend anomaly algorithm to determine whether the sub-module corresponding to the relative time has the risk of being a black module; wherein the change threshold is the average value of the change in the relative time corresponding to adjacent years of all sub-modules in each valve tower.

[0026] Furthermore, in the process of comparing the change amount of adjacent years of the relative time corresponding to the submodule with the change amount threshold value longitudinally by the trend anomaly algorithm, if the comparison result is less than or equal to:

[0027] A data sorting unit is used to sort the relative time for each submodule in each valve tower to establish communication with the valve control according to a preset rule to obtain a sorting result;

[0028] A variation calculation unit, used to determine the variation of the relative time corresponding to two adjacent submodules in the sorting result;

[0029] The judgment unit is used to compare the change amount with a preset threshold horizontally through a trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of being a black module.

[0030] Furthermore, if the submodule is detected as a black module during the uncontrolled charging stage of the annual inspection of the converter valve, the data sorting unit is specifically used to determine whether the submodule has a high risk of being a black module according to the sorting result.

[0031] Furthermore, the data sorting unit includes:

[0032] A ranking judgment subunit, used to determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking;

[0033] If the ranking of the relative time corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than a second preset time, a black module determination subunit is used to determine that other submodules after the submodule ranking all have a high risk of being black modules;

[0034] If the ranking of the submodule is before the preset ranking of the sorting result, the circuit abnormality determination subunit is used to determine that the submodule is a central control board or a power supply circuit that has occasional abnormalities.

[0035] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned black module risk assessment method based on the whole tower pressurization test of the converter valve when executing the computer program.

[0036] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the black module risk assessment method based on the whole-tower pressurization test of the converter valve is implemented.

[0037] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the black module risk assessment method based on the whole tower pressurization test of the converter valve is implemented.

[0038] The black module risk assessment method based on the whole tower pressurization test of the converter valve provided in the embodiment of the present invention records the relative time of each submodule of each valve tower establishing communication with the valve control during the annual inspection of previous years, and determines the risk of the submodule corresponding to the relative time having a black module according to the relationship between the relative time and the first preset time. And through the trend anomaly algorithm, the horizontal and vertical comparison is made, the relative time change corresponding to the adjacent years of the submodule is compared with the change threshold in the vertical direction, and the change is compared with the preset threshold in the horizontal direction to determine whether the submodule corresponding to the relative time has the risk of a black module. And the relative time of each submodule in each valve tower establishing communication with the valve control is sorted according to the preset rules to obtain the sorting result, and the submodule is judged according to the sorting result whether it is a high risk of a black module, and the risk of each submodule having a black module in the subsequent startup process can be accurately assessed. The above method can greatly reduce the probability of a black module after the converter valve is started, improve the safety and stability of the operation of the flexible direct current converter valve, reduce the system downtime, improve the energy availability of the converter station, and improve the consumption of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0040] Figure 1 It is a flow chart of a black module risk assessment method based on converter valve whole tower pressurization test in an embodiment of the present invention;

[0041] Figure 2 It is a flow chart of another black module risk assessment method based on converter valve whole tower pressurization test in an embodiment of the present invention;

[0042] Figure 3 It is a flow chart of another black module risk assessment method based on converter valve whole tower pressurization test in an embodiment of the present invention;

[0043] Figure 4 It is a structural schematic diagram of a black module risk assessment device based on a converter valve whole tower pressurization test in an embodiment of the present invention;

[0044] Figure 5 It is a structural schematic diagram of another black module risk assessment device based on converter valve whole tower pressurization test in an embodiment of the present invention;

[0045] Figure 6 It is a structural schematic diagram of another black module risk assessment device based on converter valve whole tower pressurization test in an embodiment of the present invention;

[0046] Figure 7 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0048] The information collected in the technical solution of the present invention is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0049] The acquisition, transmission, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations.

[0050] It should be noted that in the embodiments of the present invention, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present invention, but it does not mean that the applicant has or will necessarily use the solution.

[0051] The abbreviations and key terms are defined below:

[0052] Flexible DC converter valve: Flexible DC converter valve, also known as flexible DC converter valve, is the core equipment of the flexible DC transmission system, and consists of sub-modules, valve sections, valve towers, valve control and valve cooling systems.

[0053] Converter valve submodule: The converter valve submodule is the basic component unit of the flexible direct current converter valve. The converter valve submodule includes fully controlled power semiconductor devices, capacitors, bypass switches, voltage grading resistors, central control board, power board, drive board, thyristors and other important components.

[0054] The converter valve whole tower pressurization test device: includes valve control backend, valve control device, communication optical fiber or cable, valve tower, modular converter valve batch test pressurization system, splitter and connection harness, etc. The converter valve whole tower pressurization test device is used to verify whether the valve tower submodule is working properly.

[0055] Pressurization test of the whole converter valve tower: The whole converter valve tower is pressurized at the project site to achieve batch testing of the functions and performance of all submodules of the converter valve tower. It has the functions of reading and checking the software version of the converter valve submodule, module communication test function, fully controlled power semiconductor device on / off test function, bypass switch test function, thyristor test function, protection test function, etc.

[0056] Central control board: The central control board is the valve submodule unit control board, which is used to realize submodule control, monitoring and protection functions.

[0057] Black module: The submodule that fails to establish communication with the converter valve control during the rectification and charging stage of the flexible DC converter valve (i.e. before the converter valve is unlocked).

[0058] At present, the functions and performances of submodules can be tested in batches through the converter valve whole tower pressurization test device. However, since the power-on mode of the converter valve whole tower pressurization test device is manual power-on, there is no timing device with the valve control background. Therefore, it is impossible to accurately detect the time from the start of charging of each submodule to the completion of the startup of the central control board and the establishment of communication with the valve control. Therefore, it is impossible to accurately assess the risk of black modules appearing in each submodule during the subsequent startup process. Therefore, the present invention proposes a black module risk assessment method based on converter valve whole tower pressurization test, performs risk assessment on the status and performance of the submodule, and reduces the probability of black modules appearing in the converter valve when restoring power supply through relevant strategies, thereby reducing the system downtime, improving the energy availability of the converter station, and enhancing the consumption of new energy.

[0059] Figure 1 FIG. 1 is a flow chart of a black module risk assessment method based on a converter valve whole tower pressurization test in an embodiment of the present invention. The execution subject of the method is a converter valve whole tower pressurization test device, such as Figure 1 As shown, the method includes:

[0060] Step 1: Determine the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control as the relative time for each submodule in each valve tower to establish communication with the valve control.

[0061] Step 2: Determine the risk of a black module in the submodule corresponding to the relative time based on the relationship between the relative time and the first preset time, wherein the first preset time is determined based on the statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

[0062] In the embodiment of the present invention, since the test site is a closed valve hall, the whole tower pressurization test device has no communication connection with the valve control background. If the time synchronization function with the valve control background is added through software and hardware modification, the valve control timing function needs to be triggered at the same time when the device is powered on, which increases the difficulty of software and hardware modification. Therefore, by determining the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control, the relative time for each submodule in each valve tower to establish communication with the valve control is used; according to the relationship between the relative time and the first preset time, the risk of black module in the submodule corresponding to the relative time is determined, and there is no need to measure the absolute time when each submodule of each valve tower establishes communication with the valve control, thereby avoiding the need to implement black module risk assessment through software and hardware modification of the whole tower pressurization test device of the converter valve.

[0063] like Figure 1 As shown, each step is explained in detail below.

[0064] Step 1: Determine the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control as the relative time for each submodule in each valve tower to establish communication with the valve control.

[0065] Specifically, the relative time at which each submodule in each valve tower establishes communication with the valve control during the annual inspection is recorded, which is denoted as T ijk , where i means: annual inspection in the i-th year; j means: valve tower No. j; k means: submodule No. k; T ijk = 0s corresponds to the k-th submodule which is the first submodule in the j-th valve tower to establish communication with the valve control. The above data is stored in the database.

[0066] Exemplarily, assume that i=2, j=3, k is 1, 2, 3, 4, 5; in the second year inspection, the first submodule in the third valve tower to establish communication with the valve control is submodule No. 5, and the time when the communication is established is T1, which is 2:01; the subsequent submodules that establish communication with the valve control are submodule No. 2, submodule No. 1, submodule No. 4 and submodule No. 3, and the times when the communication is established are T2, which is 2:03, T3, which is 2:04, T4, which is 2:06 and T5, which is 2:09.

[0067] Then the time difference between the time when the first submodule in each valve tower establishes communication with the valve control and the time when the subsequent submodules establish communication with the valve control are: T 232 =T2-T1=2s; T 231 =T3-T1=3s; T 234 =T4-T1=5s; T 233 =T5-T1=8s;

[0068] The relative time for the five submodules to establish communication with the valve control is T 235 =0s; T 232 =2s; T 231 =3s; T 234 =5s; T 233 =8s;

[0069] The above calculation method can be used to determine the time difference between the time when the first submodule in the valve tower establishes communication with the valve control and the time when the subsequent submodules establish communication with the valve control. By repeating the above calculation, the relative time T of each submodule in each valve tower establishing communication with the valve control during the annual inspection can be obtained. ijk .

[0070] Specifically, since the power-on mode of the converter valve whole tower pressurization test device is manual power-on, and there is no time synchronization device with the valve control background, it is impossible to accurately measure the time from the start of charging of each submodule to the completion of the startup of the central control board and the establishment of communication with the valve control. Therefore, during the power outage of the converter valve, the submodules of each valve tower are batch tested by the whole tower pressurization test device to obtain the above relative time.

[0071] Step 2: Determine the risk of a black module in the submodule corresponding to the relative time based on the relationship between the relative time and the first preset time, wherein the first preset time is determined based on the statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

[0072] Specifically, the first preset time can be the engineering experience value of each converter valve manufacturer, denoted as T set According to the formula T set =T bk -T average A first preset time is calculated.

[0073] Among them, T bk It is the time for the converter valve to detect the black module during the startup process, which is a preset fixed value. That is, the converter valve detects whether there is a black module through a preset black module detection time window during the uncontrolled charging stage. In addition, the black module detection time window can be adjusted. If the time window is too short, it is easy to cause misjudgment, and if the time window is too long, it is easy to cause missed judgment. Usually, within the last 1s or 2s of the black module detection time window, if the valve control does not receive the communication signal from the central control board for a certain time interval, it is determined that there is a black module. T average It is the statistical value of the absolute time from power-on to establishing communication with the valve control for each submodule in each valve tower during the start-up process of the converter valve; that is, it is measured during the power-on start-up process through the grid voltage after the converter valve has been overhauled or the fault has been eliminated.

[0074] Since the converter valve startup process is powered on by the grid pressurization and closing, it is a whole startup, and there is a time synchronization device between the system and the valve control background. Therefore, the actual power-on time of each submodule can be measured during each converter valve startup process, that is, the absolute time when each submodule establishes communication with the valve control.

[0075] For example, the absolute time is calculated by the weighted average formula and the average value is taken as the statistical value, that is, T average Alternatively, the absolute time may also be calculated as a statistical value by calculating the median or other statistics, which is not specifically limited in this embodiment.

[0076] In the embodiment of the present invention, since the test site is a closed valve hall, the whole tower pressurization test device has no communication connection with the valve control background. If the time synchronization function with the valve control background is added through software and hardware modification, the valve control timing function needs to be triggered at the same time when the device is powered on, which increases the difficulty of software and hardware modification. Therefore, by determining the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control, the relative time for each submodule in each valve tower to establish communication with the valve control is used; according to the relationship between the relative time and the first preset time, the risk of black module in the submodule corresponding to the relative time is determined, and there is no need to measure the absolute time when each submodule of each valve tower establishes communication with the valve control, thereby avoiding the need to implement black module risk assessment through software and hardware modification of the whole tower pressurization test device of the converter valve.

[0077] like Figure 2 As shown, determining the risk of a black module existing in the submodule corresponding to the relative time according to the relationship between the relative time and the first preset time includes step 21;

[0078] Step 21: If the relative time is less than or equal to the first preset time, the relative time change corresponding to the adjacent years of the submodule is compared with the change threshold vertically through the trend anomaly algorithm to determine whether the submodule corresponding to the relative time has the risk of being a black module; wherein the change threshold is the statistical value of the relative time change corresponding to the adjacent years of all submodules in each valve tower.

[0079] Specifically, if T ijk ≤T set , the relative time change b corresponding to adjacent years of the submodules is calculated by the trend anomaly algorithm k Compare with the change threshold a. k >a, means T ijk As the year i increases, the relative time for submodule k to establish communication with the valve control increases significantly. k The corresponding submodule k has the risk of being a black module.

[0080] For example, assuming that there are 6 submodules in valve tower 3, the relative times for the 6 submodules to establish communication with the valve control in the first year are T 131 =2s, T 132 =0s, T 133 =7s, T 134 =5s, T 135 =4s and T 136 =1s; and the relative time for the six submodules to establish communication with the valve control in the second year is T 231 =4s, T 232 =1s, T 233 =10s, T 234 =5s, T 235 =8s and T 236 =8s; where i is 1 and 2, j=3, and k is 1, 2, 3, 4, 5, and 6.

[0081] Then the relative time change b corresponding to adjacent years of all submodules in the same valve tower k for:

[0082] Submodule 1: b1 = T 231 -T 131 =2s; Submodule 2: b2 = T 232 -T 132 =1s;

[0083] Submodule 3: b3 = T 233 -T 133 =3s; Submodule 4: b4 = T 234 -T 134 = 0s;

[0084] Submodule 5: b5 = T 235 -T 135 =4s; Submodule 6: b6=T 236 -T 136 =7s;

[0085] Assuming that the statistical value is c times the average value, c = 2, then the relative time change of all submodules in the same valve tower corresponding to adjacent years is b k The statistical value a is: a=(b1+b2+b3+b4+b5+b6) / 6≈2.8; that is, the change threshold a is 2.8.

[0086] If b k >a, means T ijk As the year i increases, the relative time for submodule k to establish communication with the valve control increases significantly, that is, b3>a, b5>a and b6>a; determine b kThe corresponding sub-module No. k has the risk of being a black module, that is, sub-module No. 3, sub-module No. 5 and sub-module No. 6 have the risk of being a black module.

[0087] Exemplarily, the relative time variation may also be calculated as a statistical value by calculating a median or other statistics, which is not specifically limited in this embodiment.

[0088] If the relative time is greater than the first preset time, it is determined that the submodule corresponding to the relative time has a risk of being a black module.

[0089] Specifically, if T ijk >T set , determine T ijk The kth submodule in the corresponding jth valve tower has the risk of being a black module, and the submodule is replaced during the subsequent annual inspection.

[0090] Step 22: In the process of comparing the relative time changes corresponding to adjacent years of the submodules with the change threshold longitudinally through the trend anomaly algorithm, if the comparison result is less than or equal to, the relative time for each submodule in each valve tower to establish communication with the valve control is sorted according to the preset rules to obtain the sorting result.

[0091] Specifically, if T ijk <T set , indicating T ijk As the year i increases, the relative time for submodule k to establish communication with the valve control does not increase significantly. However, in the same year, there is a significant difference in the change in the relative time corresponding to submodule k and other submodules in the same valve tower. According to the preset rules, the relative time T for each submodule in each valve tower to establish communication with the valve control is calculated. ijk The sorting is performed to obtain a sorting result. The preset rule is sorting from small to large or from large to small, and can also be other set sorting rules, which are not specifically limited in this embodiment.

[0092] Step 23: Determine the change in relative time corresponding to adjacent submodules in the sorting result.

[0093] Step 24: Compare the change amount with the preset threshold horizontally through the trend anomaly algorithm to determine whether the submodule corresponding to the relative time has the risk of a black module.

[0094] Specifically, the difference in relative time corresponding to adjacent submodules in the above sorting result is the variation in relative time of adjacent submodules.

[0095] The preset threshold is determined as follows:

[0096] First, the relative time changes corresponding to all adjacent submodules are calculated.

[0097] Then, take the mode of the above relative time changes as the preset threshold, and then compare all relative time changes with the preset threshold to determine whether there is at least one relative time change that is n times the preset threshold; wherein n times is the preset threshold, and n is a positive number greater than 1.

[0098] If there is at least one relative time variation that is n times the preset threshold, indicating that the submodule corresponding to the relative time variation is significantly different from other submodules of the same valve tower, the submodule is judged to be at risk of being a black module.

[0099] For example, assuming that there are 5 submodules in valve tower 3, the relative times for the 5 submodules to establish communication with the valve control in the second year are T 231 =2s, T 232 =0s, T 233 =1.5s, T 234 =1s, T 235 = 5s, sort from small to large, the preset threshold is 3;

[0100] The sorting result is: T 232 <T 234 <T 233 <T 231 <T 235 ;

[0101] The relative time change between two adjacent submodules in the sorting result is:

[0102] T 232 -T 234 =-1s; T 234 -T 233 =-0.5s; T 233 -T 231 =-0.5s; T 231 -T 235 =-3s;

[0103] The mode of the above relative time variation is taken as -0.5, and the preset threshold is -0.5s.

[0104] The above changes are compared with the preset threshold through the trend anomaly algorithm, then T 232 -T 234 =-1s exceeds twice the preset threshold; T 231 -T 235 =-3s exceeds the preset threshold by 3 times, so T 234 The corresponding submodule No. 4 and T 235 The corresponding No. 5 sub-modules all have the risk of being black modules.

[0105] The above changes are compared with the preset threshold through the trend anomaly algorithm. If there is at least one sub-module whose change is n times the preset threshold, it means that the change of this sub-module is significantly different from the change of other sub-modules of the same valve tower in the same year, then the sub-module is judged to be at risk of being a black module.

[0106] For example, the submodules can also be judged according to the change trend through the trend anomaly algorithm. If the relative time corresponding to 90% of the submodules of the same valve tower gradually decreases, while the relative time corresponding to a small number of submodules (about 10%) gradually increases, it means that the change trend of a small number of submodules is opposite to that of most submodules, that is, the change pattern of this submodule in the same year is significantly different from the change pattern of other submodules of the same valve tower, then these submodules are judged as having the risk of black modules.

[0107] In the embodiment of the present invention, the black module risk assessment of the submodule avoids the judgment method of comparing with a single threshold in the prior art. Through the trend anomaly algorithm, horizontal and vertical comparisons are carried out based on the test data of previous years, and the annual changes of the submodule are compared with the change threshold, and the changes or change rules of the submodule and other submodules of the same valve tower in the same year are compared with the preset threshold, so as to judge whether the submodule has the risk of a black module. A comprehensive judgment of multiple dimensions and multiple time scales is realized, and the potential hidden black modules are judged and identified, which greatly improves the accuracy of the black module risk assessment, and makes the submodule status maintenance work during the maintenance period or temporary shutdown period more efficient.

[0108] If a submodule is detected as a black module during the uncontrolled charging stage of the converter valve, it can be determined whether the remaining submodules have the risk of being black modules based on the sorting results of the whole tower pressurization test.

[0109] Specifically, when the converter valve needs to be operated with power, the converter valve needs to be charged without control first. If a submodule is detected as a black module during the uncontrolled charging of the converter valve, it is determined whether the remaining submodules have the risk of black modules according to the sorting result, thereby reducing the probability of black modules appearing during the next live start.

[0110] like Figure 3 As shown, judging whether the remaining submodules have the risk of being black modules according to the sorting results includes steps 31 to 33;

[0111] Step 31: Determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking.

[0112] Specifically, if the kth submodule is detected as a black module during the uncontrolled charging stage of the converter valve, the relative time at which each submodule in each valve tower establishes communication with the valve control during the annual inspections of previous years stored in the database and the sorting results of the relative time according to preset rules are retrieved to query the ranking of the kth submodule in the corresponding valve tower.

[0113] Step 32: If the relative time ranking corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than the second preset time, it is determined that other submodules after the submodule ranking are at risk of being black modules.

[0114] Specifically, if the relative time corresponding to the kth submodule ranks in the last 10% of the ranking results in the annual inspection of the most recent year, and T ijk Close to Tset, that is, T ijk >90% Tset; it is determined that all submodules after submodule No. k are at risk of black modules. Before the converter valve is powered on again, it is necessary to focus on checking the submodules after submodule No. k to eliminate aging and batch problems of the submodule central control board and energy supply, so as to avoid multiple submodules failing at the same time, exceeding the redundancy of the converter valve, and causing more serious consequences.

[0115] Step 33: If the ranking of the submodule is before the preset ranking of the sorting result, it is determined that the submodule is a central control board or a power supply circuit has occasional abnormality.

[0116] Specifically, if the k-th submodule ranks in the top 90% of the ranking results in the test in the most recent year, the k-th submodule is determined to be an occasional abnormality of the central control board or the power supply circuit.

[0117] If the submodule is judged to be at risk of black module when it is in operation, it is necessary to strengthen monitoring during operation and pay attention to alarm information such as power supply and communication. If the submodule is judged to be at risk of black module when it is in shutdown state, it is necessary to carry out status inspection and replace the submodule in time when abnormality is detected.

[0118] In the embodiment of the present invention, by recording the relative time of each submodule of each valve tower establishing communication with the valve control during the annual inspection of previous years, the risk of the submodule corresponding to the relative time being a black module is determined according to the relationship between the relative time and the first preset time. And by comparing horizontally and vertically through the trend anomaly algorithm, the relative time change corresponding to the adjacent years of the submodule is compared with the change threshold vertically, and the change is compared with the preset threshold horizontally to determine whether the submodule corresponding to the relative time has the risk of a black module. And according to the preset rules, the relative time of each submodule in each valve tower establishing communication with the valve control is sorted to obtain the sorting result, and the submodule is judged according to the sorting result whether it is a high risk of a black module, and the risk of each submodule appearing a black module in the subsequent startup process can be accurately assessed. The above method can greatly reduce the probability of a black module appearing after the converter valve is started, improve the safety and stability of the operation of the flexible direct current converter valve, reduce the system downtime, improve the energy availability of the converter station, and improve the consumption of new energy.

[0119] The present invention also provides a black module risk assessment device based on the whole tower pressure test of the converter valve, as described in the following embodiments. Since the principle of the device to solve the problem is similar to the black module risk assessment method based on the whole tower pressure test of the converter valve, the implementation of the device can refer to the implementation of the black module risk assessment method based on the whole tower pressure test of the converter valve, and the repeated parts will not be repeated.

[0120] Figure 4 FIG. 1 is a schematic diagram of the structure of a black module risk assessment device based on a converter valve whole tower pressurization test in an embodiment of the present invention; Figure 4 As shown, the device 40 includes:

[0121] The data generation module 41 is used to determine the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control as the relative time when each submodule in each valve tower establishes communication with the valve control;

[0122] The data processing module 42 is used to determine the risk of a black module in the submodule corresponding to the relative time based on the relationship between the relative time and the first preset time, wherein the first preset time is a statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

[0123] In one embodiment, if the relative time is less than or equal to the first preset time, the data processing module 42 is specifically used to compare the change in the relative time corresponding to the sub-module in adjacent years with the change threshold through a trend anomaly algorithm to determine whether the sub-module corresponding to the relative time has the risk of being a black module; wherein the change threshold is the average value of the change in the relative time corresponding to adjacent years of all sub-modules in each valve tower.

[0124] In one embodiment, if Figure 5 As shown, in the process of comparing the change amount of adjacent years of the relative time corresponding to the submodule with the change amount threshold value longitudinally by the trend anomaly algorithm, if the comparison result is less than or equal to, it includes:

[0125] The data sorting unit 51 is used to sort the relative time of establishing communication between each submodule and the valve control in each valve tower according to a preset rule to obtain a sorting result;

[0126] A variation calculation unit 52 is used to determine the variation of the relative time corresponding to two adjacent submodules in the sorting result;

[0127] The judgment unit 53 is used to compare the change amount with a preset threshold horizontally through a trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of being a black module.

[0128] In one embodiment, if a submodule is detected as a black module during the uncontrolled charging stage of the converter valve annual inspection, the data sorting unit 51 is specifically used to determine whether the submodule has a high risk of being a black module according to the sorting result.

[0129] In one embodiment, if Figure 6 As shown, the data sorting unit 51 includes:

[0130] A ranking judgment subunit 61, used to determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking;

[0131] If the relative time ranking corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than the second preset time, the black module determination subunit 62 is used to determine that the other submodules after the submodule ranking all have a high risk of being black modules;

[0132] If the ranking of the submodule is before the preset ranking of the sorting result, the circuit abnormality determination subunit 63 is used to determine that the submodule is a central control board or a power supply circuit has occasional abnormality.

[0133] It should be noted that the black module risk assessment method and device based on the whole tower pressurization test of the converter valve provided in the embodiment of the present invention can be used in the financial field, and can also be used in any technical field other than the financial field. The embodiment of the present invention does not limit the application field of the black module risk assessment method and device based on the whole tower pressurization test of the converter valve.

[0134] Figure 7 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 5As shown, the electronic device includes: a processor (processor) a, a memory (memory) b and a bus c.

[0135] The processor a and the memory b communicate with each other via a bus c.

[0136] The processor a is used to call the program instructions in the memory b to execute the methods provided by the above-mentioned method embodiments.

[0137] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the black module risk assessment method based on the whole-tower pressurization test of the converter valve is implemented.

[0138] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the black module risk assessment method based on the whole tower pressurization test of the converter valve is implemented.

[0139] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0140] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0141] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0142] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0143] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A black module risk assessment method based on a converter valve whole tower pressurization test, characterized in that: include: Determine the time difference between the time when the first submodule in each valve tower establishes communication with the valve control and the time when the subsequent submodules establish communication with the valve control as the relative time when each submodule in each valve tower establishes communication with the valve control; According to the relationship between the relative time and the first preset time, it is determined that the submodule corresponding to the relative time has a risk of being a black module, wherein the first preset time is determined according to the statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

2. The method according to claim 1, characterized in that The determining, according to the relationship between the relative time and the first preset time, that the submodule corresponding to the relative time has a risk of being a black module includes: If the relative time is less than or equal to the first preset time, the relative time change corresponding to adjacent years of the submodule is compared vertically with the change threshold through the trend anomaly algorithm to determine whether the submodule corresponding to the relative time has the risk of being a black module; wherein the change threshold is a statistical value of the relative time change corresponding to adjacent years of all submodules in each valve tower.

3. The method according to claim 2, characterized in that In the process of comparing the relative time changes corresponding to the adjacent years of the submodules with the change threshold value longitudinally through the trend anomaly algorithm, if the comparison result is less than or equal to, the relative time of establishing communication between each submodule and the valve control in each valve tower is sorted according to the preset rules to obtain the sorting result; Determine the change in relative time corresponding to adjacent submodules in the sorting result; The change amount is compared with a preset threshold horizontally through a trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of being a black module.

4. The method according to claim 3, characterized in that If the submodule is detected as a black module during the uncontrolled charging stage of the converter valve, it is determined whether the submodule has a risk of being a black module according to the sorting result.

5. The method according to claim 4, characterized in that The determining, according to the sorting result, whether the submodule has a risk of being a black module includes: Determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking; If the ranking of the relative time corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than a second preset time, it is determined that other submodules after the ranking of the submodule are at risk of being black modules; If the ranking of the submodule is before the preset ranking of the sorting result, it is determined that the submodule is a central control board or a power supply circuit has occasional abnormality.

6. A black module risk assessment device based on the whole tower pressure test of the converter valve, characterized in that: include: A data generation module, used to determine the time difference between the moment when the first submodule in each valve tower establishes communication with the valve control and the moment when the subsequent submodules establish communication with the valve control, as the relative time when each submodule in each valve tower establishes communication with the valve control; A data processing module is used to determine the risk of a black module in the submodule corresponding to the relative time based on the relationship between the relative time and a first preset time, wherein the first preset time is a statistical value of the time when the converter valve detects the black module during the startup process and the absolute time when each submodule establishes communication with the valve control during the actual startup process.

7. The device according to claim 6, characterized in that If the relative time is less than or equal to the first preset time, the data processing module is specifically used to compare the change in the relative time corresponding to the sub-module in adjacent years with the change threshold through a trend anomaly algorithm to determine whether the sub-module corresponding to the relative time has the risk of being a black module; wherein the change threshold is the average value of the change in the relative time corresponding to adjacent years of all sub-modules in each valve tower.

8. The device according to claim 7, characterized in that In the process of comparing the change amount of adjacent years of the relative time corresponding to the submodule with the change amount threshold longitudinally by the data processing module through the trend anomaly algorithm, if the comparison result is less than or equal to, it includes: A data sorting unit is used to sort the relative time for each submodule in each valve tower to establish communication with the valve control according to a preset rule to obtain a sorting result; A variation calculation unit, used to determine the variation of the relative time corresponding to two adjacent submodules in the sorting result; The judgment unit is used to compare the change amount with a preset threshold horizontally through a trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of being a black module.

9. The device according to claim 8, characterized in that If the submodule is detected as a black module during the uncontrolled charging stage of the converter valve annual inspection, the data sorting unit is specifically used to determine whether the submodule has a high risk of being a black module according to the sorting result.

10. The device according to claim 9, characterized in that The data sorting unit comprises: A ranking judgment subunit, used to determine the relationship between the relative time ranking corresponding to the submodule and the preset ranking; If the ranking of the relative time corresponding to the submodule is after the preset ranking of the sorting result and the relative time is greater than a second preset time, a black module determination subunit is used to determine that other submodules after the submodule ranking all have a high risk of being black modules; If the ranking of the submodule is before the preset ranking of the sorting result, the circuit abnormality determination subunit is used to determine that the submodule is a central control board or a power supply circuit that has occasional abnormalities.

11. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

13. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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