Method and device for risk assessment of black module based on whole-tower pressurization test of converter valve

Abstract

The application discloses a black module risk assessment method and device based on converter valve whole-tower pressurized testing, and relates to the technical field of DC power transmission converter valves, wherein the method comprises the following steps: determining the time difference value between the time when the first submodule in each valve tower establishes communication with the valve control and the time when the subsequent submodule establishes communication with the valve control as the relative time of each submodule in each valve tower establishing communication with the valve control; and determining the risk of the submodule corresponding to the relative time existing black module according to the relationship between the relative time and the first preset time. The application greatly reduces the probability of black module appearing after the start of the converter valve, improves the safety and stability of the flexible DC converter valve operation, reduces the system downtime, improves the energy availability of the converter station, and improves the new energy consumption.

Description

TECHNICAL FIELD

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

[0002] At present, the existing technology has a method for testing the state of a sub-module and assessing the risk of a black module, which is as follows: a converter valve tower pressurization testing device is used to charge a single valve tower in batches to detect the time difference between the completion of the startup of the control board card in the last sub-module and the first sub-module in the single valve tower and the establishment of communication with the valve control, and the power supply and the startup speed of the control board card are determined according to the detected time difference, so as to assess whether the state of the sub-modules in the valve tower has the risk of a black module.

[0003] The existing technology has the following problems: since the converter valve tower pressurization testing device is manually powered on and has no time synchronization device with the valve control background, the time length from the start of charging of each sub-module to the completion of the startup of the control board card and the establishment of communication with the valve control cannot be accurately measured, and therefore it is impossible to accurately assess whether each sub-module has the risk of a black module in the subsequent startup process.

[0004] Secondly, the existing method for assessing the risk of a black module is that if the time difference between the time when the control board card in the last sub-module completes the startup and establishes communication with the valve control and the time when the control board card in the first sub-module completes the startup and establishes communication with the valve control is less than a certain fixed time, it is considered that all the sub-modules in the valve tower have a low risk of a black module. However, since only the relative time difference is known, the time used by the first sub-module from the start of charging to the establishment of communication with the valve control cannot be accurately measured, and therefore there is a possibility that the time for the establishment of communication between the sub-module and the valve control in the valve tower is overdue.

[0005] Finally, since the test background only records the time difference between the completion of the startup of the control board card in the last sub-module and the first sub-module in each valve tower and the establishment of communication with the valve control, the relative time for the establishment of communication between each sub-module and the valve control is not recorded, and therefore it is impossible to assess the state of the sub-modules and determine whether there is a risk of a black module.

[0006] This section is intended to provide background or context to the embodiments of the application recited in the claims. The description herein does not constitute admission that the prior art is prior art. SUMMARY

[0007] The embodiments of the present application provide a method for assessing the risk of a black module based on converter valve tower pressurization testing, which is used to assess whether there is a risk of a black module in a sub-module, without measuring the absolute time for the establishment of communication between each sub-module and the valve control in each valve tower, and avoids the modification of the software and hardware of the converter valve tower pressurization testing device.

[0008] To solve the above technical problems, the present application provides the following technical solutions:

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

[0010] Determining 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 submodule establishes communication with the valve control as the relative time of each submodule in each valve tower establishing communication with the valve control;

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

[0012] Further, the determination of the risk of black module of the submodule corresponding to the relative time according to the relationship between the relative time and the first preset time comprises:

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

[0014] Further, in the process of comparing the relative time change amount of the submodule corresponding to adjacent years by trend anomaly algorithm with the change amount threshold value, if the comparison result is less than or equal to, sort the relative time of each submodule in each valve tower establishing communication with the valve control according to a preset rule to obtain a sorting result;

[0015] Determine the change amount of the relative time of adjacent submodules in the sorting result;

[0016] Compare the change amount with the preset threshold value by trend anomaly algorithm to determine whether the submodule corresponding to the relative time has a risk of black module.

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

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

[0019] determine a relationship between a rank of the relative time corresponding to the sub-module and a size of the preset rank;

[0020] if the rank of the relative time corresponding to the sub-module is after the preset rank in the sorting result and the relative time is greater than a second preset time, determine that all other sub-modules after the rank of the sub-module are at high risk of black module;

[0021] if the rank of the sub-module is before the preset rank in the sorting result, determine that the sub-module is at risk of occasional abnormality of the central control board or the power circuit.

[0022] In a second aspect, the embodiments of the present application also provide a black module risk assessment device based on whole-tower pressurization testing of a converter valve, to assess the risk of black module of a sub-module, avoid the single threshold comparison determination manner in the prior art, and greatly improve the accuracy of the risk assessment of black module. The device comprises:

[0023] a data generation module configured to determine a time difference between a time when a first sub-module in each valve tower establishes communication with a valve control and a time when a subsequent sub-module establishes communication with the valve control, as a relative time when each sub-module in each valve tower establishes communication with the valve control;

[0024] a data processing module configured to determine, according to a relationship between the relative time and a first preset time, whether the sub-module corresponding to the relative time is at risk of black module, wherein the first preset time is a statistical value of a time when the converter valve detects the black module in a starting process and an absolute time when each sub-module establishes communication with the valve control in an actual starting process.

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

[0026] Further, in the process of comparing, by the trend anomaly algorithm, the change amount of the relative time corresponding to the sub-module in adjacent years with the change amount threshold, if the comparison result is less than or equal to, the data processing module comprises:

[0027] a data sorting unit configured to sort, according to a preset rule, the relative time when each sub-module in each valve tower establishes communication with the valve control, to obtain a sorting result;

[0028] a change amount calculation unit configured to determine a change amount of the relative time corresponding to adjacent two sub-modules in the sorting result;

[0029] A judgment unit is configured to compare the change amount with a preset threshold value by using a trend anomaly algorithm to determine whether the sub-module corresponding to the relative time has a risk of being a black module.

[0030] Further, if the sub-module 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 configured to determine whether the sub-module is at high risk of being a black module according to the sorting result.

[0031] Further, the data sorting unit comprises:

[0032] A ranking judgment sub-unit is configured to determine a size relationship between a ranking of the relative time corresponding to the sub-module and a preset ranking.

[0033] If the ranking of the relative time corresponding to the sub-module is after the preset ranking in the sorting result and the relative time is greater than a second preset time, a black module judgment sub-unit is configured to determine that all other sub-modules after the sub-module in the ranking are at high risk of being black modules.

[0034] If the ranking of the sub-module is before the preset ranking in the sorting result, a circuit abnormality judgment sub-unit is configured to determine that the sub-module is at risk of having an occasional abnormality in the control board or the power supply circuit.

[0035] The embodiment of the present application also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, and the processor implements the black module risk assessment method based on the whole-tower pressurization test of the converter valve when executing the computer program.

[0036] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program implements the black module risk assessment method based on the whole-tower pressurization test of the converter valve when executed by a processor.

[0037] The embodiment of the present application also provides a computer program product, which comprises a computer program, and the computer program implements the black module risk assessment method based on the whole-tower pressurization test of the converter valve when executed by a processor.

[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 application records the relative time when each sub-module of each valve tower communicates with the valve control during the annual inspection in previous years, determines the risk of the sub-module corresponding to the relative time existing a black module according to the relationship between the relative time and the first preset time. And the trend anomaly algorithm is compared horizontally and vertically, the change amount of the relative time corresponding to the adjacent years of the sub-module is compared with the change amount threshold in the vertical direction, and the change amount is compared with the preset threshold in the horizontal direction, to determine whether the sub-module corresponding to the relative time exists a risk of a black module. And the relative time when each sub-module in each valve tower communicates with the valve control is sorted according to the preset rule, to obtain a sorting result, and whether the sub-module is a high-risk black module is judged according to the sorting result, which can accurately assess the risk of the black module of each sub-module in the subsequent start-up process. The above method can greatly reduce the probability of the black module after the start of the converter valve, improve the safety and stability of the flexible DC converter, reduce the system downtime, improve the energy availability of the converter station, and improve the new energy consumption. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor. In the drawings:

[0040] Figure 1 The flowchart of the black module risk assessment method based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0041] Figure 2 The flowchart of another black module risk assessment method based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0042] Figure 3 The flowchart of another black module risk assessment method based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0043] Figure 4 The structure diagram of the black module risk assessment device based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0044] Figure 5 The structure diagram of another black module risk assessment device based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0045] Figure 6 The structure diagram of another black module risk assessment device based on the whole-tower pressurization test of the converter valve in the embodiment of the present application is shown in the figure;

[0046] Figure 7 An electronic device entity structure schematic diagram provided for an embodiment of the present application. DETAILED DESCRIPTION

[0047] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, further detailed descriptions will be made to the embodiments of the present application with reference to the drawings. Herein, the illustrative embodiments of the present application and their descriptions are used to explain the present application, but not as a limitation to the present application.

[0048] In the technical solutions of the present application, the information collected is authorized by the user or 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 country and region, necessary security measures are taken, public order and good customs are not violated, and corresponding operation portals are provided for the user to choose authorization or refusal.

[0049] In the technical solutions of the present application, the acquisition, transmission, storage, use and processing of data comply with the relevant provisions of national laws and regulations.

[0050] It should be noted that in the embodiments of the present application, some existing industry solutions such as software, components, models, etc. may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0051] Abbreviations and key terms are defined as follows:

[0052] Flexible DC valve: The flexible DC valve is the core equipment of the flexible DC power transmission system, which is composed of sub-modules, valve sections, valve towers, valve control and valve cooling systems.

[0053] Converter valve sub-module: The converter valve sub-module is the basic component unit of the flexible DC valve. The converter valve sub-module includes fully controlled power semiconductor devices, capacitors, bypass switches, voltage balancing resistors, central control boards, power supply boards, drive boards, thyristors and other important components.

[0054] Converter valve tower pressurization testing device: including valve control background, valve control device, communication optical fiber or optical cable, valve tower, modular converter valve batch testing pressurization system, line splitter and connection wire harness. The converter valve tower pressurization testing device is used to verify whether the valve tower sub-module is working normally.

[0055] Converter valve tower pressurization test: The converter valve tower is pressurized as a whole on the engineering site to realize batch testing of all sub-module functions and performances of the converter valve tower. The converter valve sub-module software version reading and correction function, module communication testing function, full-control power semiconductor device turn-on / shut-off testing function, bypass switch testing function, thyristor testing function, protection testing function, etc. are provided.

[0056] Central control board: The central control board is a valve sub-module unit control board, which is used to realize sub-module control, monitoring and protection functions.

[0057] Black module: In the uncontrolled rectification charging stage of the flexible direct current converter valve (i.e. before the converter valve is unlocked), the sub-module fails to establish communication with the valve control.

[0058] At present, the converter valve tower pressurization test device can batch detect the functions and performances of the sub-modules. However, the power-on mode of the converter valve tower pressurization test device is manual power-on, and there is no time device with the valve control background. Therefore, it is impossible to accurately detect the time length from the start of charging of each sub-module to the completion of the start of the central control board and the establishment of communication with the valve control. Thus, it is impossible to accurately assess whether each sub-module has the risk of black module in the subsequent start-up process. Therefore, the present application proposes a black module risk assessment method based on the converter valve tower pressurization test, which assesses the state and performance of the sub-module, reduces the probability of black module in the converter valve during the recovery of power supply through relevant strategies, thereby reducing the system downtime, improving the energy availability of the converter station, and improving the new energy consumption.

[0059] Figure 1 The flowchart of the black module risk assessment method based on the converter valve tower pressurization test in the embodiments of the present application is shown in the figure. The execution subject of the method is the converter valve tower pressurization test device, as shown in the figure, which includes the following steps: Figure 1

[0060] Step 1: Determine the time difference between the time when the first sub-module in each valve tower establishes communication with the valve control and the time when the subsequent sub-module establishes communication with the valve control as the relative time of each sub-module in each valve tower establishing communication with the valve control.

[0061] Step 2: Determine the risk of black module of the sub-module corresponding to the relative time according to the relationship between the relative time and the first preset time, wherein the first preset time is determined according to the time of detecting the black module in the start-up process of the converter valve and the statistical value of the absolute time of establishing communication with the valve control in the actual start-up process of each sub-module.

[0062] ​In the embodiment of the present application, since the test site is a closed valve hall, the whole-tower pressurization testing 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 as the device is powered on, which increases the difficulty of software and hardware modification. Therefore, by determining 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 submodule establishes communication with the valve control as the relative time when each submodule in each valve tower establishes communication with the valve control, the absolute time when each submodule in each valve tower establishes communication with the valve control is not needed to be measured, so that the risk assessment of the black module through the software and hardware modification of the converter valve whole-tower pressurization testing device is avoided.

[0063] As shown in the following, each step is explained in detail. Figure 1

[0064] Step 1: 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 submodule establishes communication with the valve control as the relative time when each submodule in each valve tower establishes communication with the valve control.

[0065] Specifically, record the relative time when each submodule in each valve tower establishes communication with the valve control during the annual inspection in the past years, denoted as T ijk , where i represents the i-th annual inspection, j represents the j-th valve tower, k represents the k-th submodule, and T ijk = 0s corresponds to the k-th submodule being 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, it is assumed that i = 2, j = 3, and k takes 1, 2, 3, 4, and 5; during the 2nd annual inspection, the first submodule in the 3rd valve tower to establish communication with the valve control is the 5th submodule, and the time when it establishes communication is T1 = 2:01; the subsequent submodules to establish communication with the valve control are the 2nd submodule, the 1st submodule, the 4th submodule, and the 3rd submodule, and the times when they establish communication are T2 = 2:03, T3 = 2:04, T4 = 2:06, and T5 = 2:09, respectively.

[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 submodule establishes communication with the valve control is T 232 = T2-T1 = 2s; T 231 = T3-T1 = 3s; T 234 = T4-T1 = 5s; and T 233 = T5-T1 = 8s.

[0068] ​The relative time of the five sub-modules 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 time difference between the time when the first sub-module in the valve tower establishes communication with the valve control and the time when the subsequent sub-module establishes communication with the valve control can be determined by the above calculation method, and the relative time T ijk of each sub-module in each valve tower to establish communication with the valve control during annual inspection can be obtained by repeating the above calculation.

[0070] Specifically, since the power-on mode of the converter valve tower pressurization test device is manual power-on, and there is no time synchronization device with the valve control background, the time from when each sub-module starts charging to when the control board card completes startup and establishes communication with the valve control cannot be accurately measured. Therefore, during the power-off process of the converter valve, the relative time is obtained by batch testing each valve tower sub-module of the tower pressurization test device.

[0071] Step 2: Determine the risk of the sub-module corresponding to the relative time existing a black module according to the relationship between the relative time and the first preset time, wherein the first preset time is determined according to the time of detecting a black module during the startup process of the converter valve and the statistical value of the absolute time of each sub-module establishing 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 . The first preset time can be calculated according to the formula T set = T bk -T average .

[0073] Wherein, T bk is the time of detecting a black module during the startup process of the converter valve, which is a preset constant value. That is, a black module detection time window of a preset time is used to detect whether there is a black module in the uncontrolled charging stage. Moreover, the black module detection time window can be adjusted and set, 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 omission, usually within the last 1s or 2s of the black module detection time window, if the valve control does not receive the communication signal of the control board for a certain time interval, it is determined that there is a black module. T average is the statistical value of the absolute time of each sub-module in each valve tower from power-on to establishing communication with the valve control during the startup process of the converter valve; that is, measured during the power-on startup process of the power grid.

[0074] Since the converter valve startup process involves energizing the system via the power grid, it is a complete startup, and the system has a time synchronization device with the valve control backend. Therefore, the actual power-on time of each submodule can be measured during each converter valve startup process, which is the absolute time for each submodule to establish communication with the valve control system.

[0075] For example, the average of the absolute times mentioned above is calculated using a weighted average formula and then used as the statistical value, which is T. average Alternatively, the absolute time mentioned above can also be calculated using the median or other statistical measures as the statistical value; this embodiment does not impose specific limitations.

[0076] In this embodiment of the invention, since the test site is a closed valve chamber, the whole-tower pressurization test device has no communication connection with the valve control backend. If a time synchronization function with the valve control backend is added through software and hardware modifications, the valve control timing function needs to be triggered simultaneously with the device's power-on, increasing the difficulty of software and hardware modifications. Therefore, by determining the time difference between the first sub-module in each valve tower that establishes communication with the valve control and the time of subsequent sub-modules that establish communication with the valve control, the relative time for each sub-module in each valve tower to establish communication with the valve control is used. Based on the relationship between the relative time and a first preset time, the risk of a black module being present in the sub-module corresponding to the relative time is determined. It is not necessary to measure the absolute time for each sub-module in each valve tower to establish communication with the valve control, thereby avoiding the need to implement the risk assessment of black modules through software and hardware modifications to the converter valve whole-tower pressurization test device.

[0077] like Figure 2 As shown, the risk of a black module in the sub-module corresponding to the relative time is determined based on the relationship between the relative time and the first preset time, including step 21;

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

[0079] Specifically, if T ijk ≤T set The trend anomaly algorithm is used to analyze the relative time change b between adjacent years of a submodule. k Compare with the change threshold a. If b k >a, indicating T ijk As year i increases, the relative time for submodule k to establish communication with the valve control increases significantly, thus determining b. k The corresponding submodule k is at risk of being a black module.

[0080] Exemplarily, it is assumed that there are totally 6 sub-modules in the 3rd valve tower, the relative time of the 6 sub-modules to establish communication with the valve control in the 1st year is respectively T 131 = 2s, T 132 = 0s, T 133 = 7s, T 134 = 5s, T 135 = 4s and T 136 = 1s; and the relative time of the 6 sub-modules to establish communication with the valve control in the 2nd year is respectively T 231 = 4s, T 232 = 1s, T 233 = 10s, T 234 = 5s, T 235 = 8s and T 236 = 8s; wherein i is 1 and 2, j = 3, k is 1, 2, 3, 4, 5 and 6.

[0081] The relative time variation b k of all the sub-modules in the valve tower corresponding to adjacent years is:

[0082] The 1st sub-module: b1 = T 231 -T 131 = 2s; the 2nd sub-module: b2 = T 232 -T 132 = 1s;

[0083] The 3rd sub-module: b3 = T 233 -T 133 = 3s; the 4th sub-module: b4 = T 234 -T 134 = 0s;

[0084] The 5th sub-module: b5 = T 235 -T 135 = 4s; the 6th sub-module: b6 = T 236 -T 136 = 7s;

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

[0086] If b k > a, it indicates that T ijk significantly increases with the increase of the year i, that is, b3 > a, b5 > a and b6 > a; it is determined that b kThe corresponding kth sub-module has a risk of black module, i.e., the 3rd, 5th and 6th sub-modules have a risk of black module.

[0087] Exemplarily, the above relative time change amount can also be taken as a statistical value by calculating a median or other statistical value, and the embodiment is not specifically limited.

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

[0089] Specifically, if T ijk >T set , it is determined that the kth sub-module in the jth valve tower corresponding to T ijk has a risk of black module, and the sub-module is replaced in subsequent annual inspection.

[0090] Step 22: In the process of comparing the relative time change amount of the adjacent years corresponding to the sub-module by the trend anomaly algorithm, if the comparison result is less than or equal to, the relative time of each sub-module in each valve tower and the valve control is sorted according to a preset rule, and a sorting result is obtained.

[0091] Specifically, if T ijk <T set , it indicates that the relative time of the kth sub-module and the valve control increases insignificantly as the year i increases. However, in the same year, the kth sub-module has a significant difference in the relative time change amount compared with other sub-modules in the same valve tower, and the relative time T ijk of each sub-module in each valve tower and the valve control is sorted according to a preset rule, and a sorting result is obtained. The preset rule is from small to large or from large to small, or can be other set sorting rules, and the embodiment is not specifically limited. ijk

[0092] Step 23: Determine the change amount of the relative time of the adjacent sub-modules in the sorting result.

[0093] Step 24: Compare the change amount with a preset threshold value by the trend anomaly algorithm, and determine whether the sub-module corresponding to the relative time has a risk of black module.

[0094] Specifically, the difference value of the relative time of the adjacent sub-modules in the above sorting result is the change amount of the relative time of the adjacent sub-modules.

[0095] The preset threshold value is determined as follows:

[0096] First, calculate the relative time change amount of all adjacent sub-modules.

[0097] ​Then, the mode of the relative time change amount is taken as a preset threshold value, and all the relative time change amounts are compared with the preset threshold value to determine whether at least one relative time change amount is n times of the preset threshold value; wherein n times is the preset threshold value, and n is a positive number greater than 1.

[0098] If at least one relative time change amount is n times of the preset threshold value, it indicates that the sub-module corresponding to the relative time change amount has a significant difference compared with other sub-modules of the valve tower, and the sub-module is determined to have a risk of black module.

[0099] Exemplarily, it is assumed that there are 5 sub-modules in the No. 3 valve tower, and the relative times of the 5 sub-modules 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, and the preset threshold value is 3 according to the ascending order.

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

[0101] The change amount of the relative time of the adjacent two sub-modules 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 relative time change amount is -0.5, and the preset threshold value is -0.5s.

[0104] The change amount is compared with the preset threshold value by the trend anomaly algorithm, and T 232 -T 234 = -1s exceeds 2 times of the preset threshold value; T 231 -T 235 = -3s exceeds 3 times of the preset threshold value, so it is determined that T 234 corresponding to the No. 4 sub-module and T 235 corresponding to the No. 5 sub-module both have a risk of black module.

[0105] ​The change amount is compared with a preset threshold value by the trend anomaly algorithm. If the change amount of at least one sub-module is n times of the preset threshold value, it is indicated that the change amount of the sub-module in the same year is significantly different from the change amount of other sub-modules in the valve tower, and the sub-module is determined as a risk of black module.

[0106] Exemplarily, the sub-modules can also be determined by the trend anomaly algorithm according to the change trend. If the relative time corresponding to 90% of the sub-modules of the valve tower gradually decreases, and the relative time corresponding to a small amount of sub-modules (about 10%) gradually increases, it is indicated that the change trend of the small amount of sub-modules is opposite to the change trend of most sub-modules, that is, the change rule of the sub-module in the same year is significantly different from the change rule of other sub-modules in the valve tower, and the sub-modules are determined as a risk of black module.

[0107] In the embodiment of the present application, the black module risk assessment of the sub-module avoids the determination method of comparison with a single threshold value in the prior art. The trend anomaly algorithm is used to carry out horizontal and vertical comparisons according to the test data of the years, the change amount of the sub-module is compared with the change amount threshold value year by year, and the change amount or change rule of the sub-module in the same year is compared with a preset threshold value compared with other sub-modules in the valve tower to determine whether the sub-module has a risk of black module. The comprehensive determination of multiple dimensions and multiple time scales is realized, the potential hidden black module is determined and distinguished, and the accuracy of the black module risk assessment is greatly improved. The sub-module state maintenance work during maintenance or temporary shutdown is more efficient.

[0108] If the sub-module is detected as a black module during the uncontrolled charging of the converter valve, it can be determined whether the remaining sub-modules have a risk of black module according to the sorting result of the whole tower pressure test.

[0109] Specifically, when the converter valve needs to be operated under voltage, the converter valve needs to be uncontrolled charged first. If the sub-module is detected as a black module during the uncontrolled charging of the converter valve, it is determined whether the remaining sub-modules have a risk of black module according to the sorting result, so as to reduce the probability of black module in the process of starting under voltage again.

[0110] As shown in Figure 3 According to the sorting result, it is determined whether the remaining sub-modules have a risk of black module, including steps 31 to 33.

[0111] Step 31: Determine the size relationship between the ranking of the relative time corresponding to the sub-module and the preset ranking.

[0112] Specifically, if the kth sub-module is detected as a black module during the uncontrolled charging stage of the converter valve, the relative time of each sub-module in each valve tower to establish communication with the valve control during the annual inspection in previous years stored in the database and the sorting results of the relative time according to the preset rule are called to query the ranking of the kth sub-module in the corresponding valve tower.

[0113] Step 32: If the ranking of the relative time of the sub-module is after the preset ranking of the sorting result and the relative time is greater than the second preset time, it is determined that the other sub-modules after the ranking of the sub-module all have the risk of black modules.

[0114] Specifically, if the ranking of the relative time of the kth sub-module in the last year's inspection is in the last 10% of the sorting result, and T ijk close to Tset, i.e. T ijk > 90% Tset; it is determined that all the sub-modules after the kth sub-module have the risk of black modules. Before the converter valve is powered on again, the sub-modules after the kth sub-module need to be checked, and the aging and batch problems of the control board and power supply in the sub-modules need to be excluded to avoid simultaneous failure of multiple sub-modules, exceed the redundancy of the converter valve, and thus cause more serious consequences.

[0115] Step 33: If the ranking of the sub-module is before the preset ranking of the sorting result, it is determined that the sub-module has occasional abnormalities in the control board or power supply circuit.

[0116] Specifically, if the kth sub-module ranks in the top 90% of the sorting result in the last year's test, the kth sub-module is determined to have occasional abnormalities in the control board or power supply circuit.

[0117] If it is determined that the sub-module has the risk of black modules in the running state of the sub-module, the monitoring needs to be strengthened during the running process, and attention needs to be paid to the alarm information of the power supply and communication. If it is determined that the sub-module has the risk of black modules in the shutdown state of the sub-module, state maintenance needs to be carried out, and the sub-module needs to be replaced in time when the abnormality is detected.

[0118] In the embodiment of the present application, by recording the relative time of each sub-module of each valve tower establishing communication with the valve control during the annual inspection, it is determined whether the corresponding sub-module of the relative time has the risk of black module according to the relationship between the relative time and the first preset time. And by using the trend anomaly algorithm for horizontal and vertical comparison, the change amount of the relative time of the corresponding sub-module of the adjacent years is compared with the change amount threshold in the vertical direction, and the change amount is compared with the preset threshold in the horizontal direction, so as to determine whether the corresponding sub-module of the relative time has the risk of black module. And according to the preset rule, the relative time of each sub-module of each valve tower establishing communication with the valve control is sorted to obtain a sorting result, and it is judged whether the sub-module is a high-risk black module according to the sorting result, so that the risk of black module of each sub-module in the subsequent start-up process can be accurately evaluated. The above method can greatly reduce the probability of black module after the start of the converter valve, improve the safety and stability of the flexible direct current converter valve operation, reduce the system downtime, improve the energy availability of the converter station, and improve the new energy consumption.

[0119] In the embodiment of the present application, a black module risk assessment device based on the whole tower pressurization test of the converter valve is also provided, as described in the following embodiment. Since the principle of solving the problem of the device is similar to that of the black module risk assessment method based on the whole tower pressurization test of the converter valve, the implementation of the device can be referred to the implementation of the black module risk assessment method based on the whole tower pressurization test of the converter valve, and the repeated parts will not be described again.

[0120] Figure 4 The structure diagram of the black module risk assessment device based on the whole tower pressurization test of the converter valve in the embodiment of the present application is shown in FIG. 4. As shown in FIG. 4, the device 40 comprises: Figure 4

[0121] The data generation module 41 is configured to determine the time difference between the time when the first sub-module establishing communication with the valve control in each valve tower and the time when the subsequent sub-module establishing communication with the valve control, as the relative time of each sub-module establishing communication with the valve control in each valve tower.

[0122] The data processing module 42 is configured to determine whether the corresponding sub-module of the relative time has the risk of black module according to the relationship between the relative time and the first preset time, wherein the first preset time is the time of detecting black module in the start-up process of the converter valve and the statistical value of the absolute time of each sub-module establishing communication with the valve control in the actual start-up process.

[0123] In an embodiment, if the relative time is less than or equal to the first preset time, the data processing module 42 is specifically configured to determine whether the corresponding sub-module of the relative time has the risk of black module by comparing the change amount of the relative time of the corresponding sub-module of the adjacent years with the change amount threshold in the trend anomaly algorithm, wherein the change amount threshold is the average value of the change amount of the relative time of all sub-modules of each valve tower corresponding to the adjacent years.​

[0124] In an embodiment, as shown in the figure, Figure 5 the data processing module 42 compares the change amount of the relative time corresponding to the sub-module in adjacent years with the change amount threshold in the process of longitudinal comparison by the trend anomaly algorithm, and if the comparison result is less than or equal to, it includes:

[0125] The data sorting unit 51 sorts the relative time of each sub-module in communication with the valve control in each valve tower according to a preset rule to obtain a sorting result.

[0126] The change amount calculation unit 52 determines the change amount of the relative time corresponding to the adjacent two sub-modules in the sorting result.

[0127] The judgment unit 53 compares the change amount with the preset threshold by the trend anomaly algorithm horizontally to determine whether the sub-module corresponding to the relative time has the risk of black module.

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

[0129] In an embodiment, as shown in the figure, Figure 6 the data sorting unit 51 includes:

[0130] The ranking judgment sub-unit 61 determines the size relationship between the ranking of the relative time corresponding to the sub-module and the preset ranking.

[0131] If the ranking of the relative time corresponding to the sub-module is after the preset ranking in the sorting result and the relative time is greater than the second preset time, the black module determination sub-unit 62 determines that all the other sub-modules after the sub-module have a high risk of black module.

[0132] If the ranking of the sub-module is before the preset ranking in the sorting result, the circuit abnormality determination sub-unit 63 determines that the sub-module has an occasional abnormality in the control board or the power supply circuit.

[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 by the embodiments of the present application can be used in the financial field, and can also be used in any technical field other than the financial field. The embodiments of the present application do 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 The electronic device entity structure schematic diagram provided by the embodiments of the present application is as shown in the figure, Figure 5As shown, the electronic device comprises: a processor a, a memory b and a bus c.

[0135] The processor a, the memory b and the bus c complete the communication between each other.

[0136] The processor a is used to call the program instruction in the memory b, so as to execute the method provided by each method embodiment.

[0137] The embodiment of the present application also provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the black module risk assessment method based on the whole tower pressurization test of the converter valve.

[0138] The embodiment of the present application also provides a computer program product, the computer program product comprises a computer program, and the computer program is executed by a processor to realize the black module risk assessment method based on the whole tower pressurization test of the converter valve.

[0139] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can adopt a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can adopt 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 codes.

[0140] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be realized by computer program instructions. These computer program instructions can be provided to the 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 produce a device for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks.

[0141] These computer program instructions can also be stored in a computer readable storage medium, which can guide the computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer readable storage medium produce a product including instruction devices, which implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1the function specified in the one or more blocks.

[0142] These computer program instructions can also be loaded into computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable data processing devices to generate computer-implemented processes, so that the instructions executed on the computer or other programmable devices provide processes for implementing the flow Figure 1 one or more flows and / or blocks Figure 1 the function specified in the one or more blocks.

[0143] The above specific embodiments describe the purposes, technical solutions and beneficial effects of the present application in further detail. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for risk assessment of black modules based on the whole tower pressurization test of a converter valve, characterized in that, The method comprises the following steps: determining 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 submodule establishes communication with the valve control as the relative time of each submodule in each valve tower establishing communication with the valve control; determining the risk of the submodule corresponding to the relative time according to the relationship between the relative time and the first preset time, wherein the first preset time is determined according to the time of detecting the black module in the starting process of the converter valve and the statistical value of the absolute time of each submodule establishing communication with the valve control in the actual starting process; the determination of the risk of the submodule corresponding to the relative time according to the relationship between the relative time and the first preset time comprises: if the relative time is less than or equal to the first preset time, comparing the relative time change amount of the submodule corresponding to adjacent years in the trend anomaly algorithm with the change amount threshold value in the longitudinal direction to determine whether the submodule corresponding to the relative time has the risk of black module; wherein the change amount threshold value is the statistical value of the relative time change amount of all submodules corresponding to adjacent years in each valve tower.

2. The method of claim 1, wherein, In the process of comparing the relative time change amount of the submodule corresponding to adjacent years in the trend anomaly algorithm with the change amount threshold value in the longitudinal direction, if the comparison result is less than or equal to, the relative time of each submodule establishing communication with the valve control in each valve tower is sorted according to a preset rule to obtain a sorting result; determining the change amount of the relative time of adjacent submodules in the sorting result; comparing the change amount with the preset threshold value in the trend anomaly algorithm in the horizontal direction to determine whether the submodule corresponding to the relative time has the risk of black module.

3. The method of claim 2, wherein, 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 the risk of black module according to the sorting result.

4. The method of claim 3, wherein, the determination of whether the submodule has the risk of black module according to the sorting result comprises: determining the relationship between the ranking of the relative time of the submodule and the preset ranking; if the ranking of the relative time of the submodule is after the preset ranking in the sorting result and the relative time is greater than the second preset time, it is determined that all the submodules after the submodule in the ranking have the risk of black module; if the ranking of the submodule is before the preset ranking in the sorting result, it is determined that the submodule is a central control board or a power supply circuit with occasional abnormality.

5. Apparatus for risk assessment of black modules based on converter valve full tower pressurization test, characterized in that, The method comprises the following steps: a data generation module for determining 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 submodule establishes communication with the valve control as the relative time of each submodule in each valve tower establishing communication with the valve control; a data processing module for determining the risk of the submodule corresponding to the relative time according to the relationship between the relative time and the first preset time, wherein the first preset time is determined by the time of detecting the black module in the starting process of the converter valve and the statistical value of the absolute time of each submodule establishing communication with the valve control in the actual starting process. If the relative time is less than or equal to a first preset time, the data processing module is specifically configured to determine whether the sub-module corresponding to the relative time exists a risk of black module by comparing a change amount of the relative time of adjacent years of the sub-module corresponding to the trend anomaly algorithm with a change amount threshold value in a longitudinal direction; and the change amount threshold value is an average value of the change amount of the relative time of adjacent years of all sub-modules in each valve tower.

6. The apparatus of claim 5, wherein, In the process of comparing the change amount of the relative time of adjacent years of the sub-module corresponding to the trend anomaly algorithm with the change amount threshold value by the data processing module, if the comparison result is less than or equal to, the method comprises the following steps. A data sorting unit is configured to sort the relative time of each sub-module in each valve tower and valve control according to a preset rule to obtain a sorting result. A change amount calculation unit is configured to determine the change amount of the relative time of adjacent two sub-modules in the sorting result. A judgment unit is configured to compare the change amount with a preset threshold value by the trend anomaly algorithm in a horizontal direction to determine whether the sub-module corresponding to the relative time exists a risk of black module.

7. The apparatus of claim 6, wherein, If the sub-module is detected as a black module in the uncontrolled charging stage of the annual inspection of the converter valve, the data sorting unit is specifically configured to determine whether the sub-module is a high risk of black module according to the sorting result.

8. The apparatus of claim 7, wherein, The data sorting unit comprises: A ranking judgment sub-unit is configured to determine the size relationship between the ranking of the relative time of the sub-module and a preset ranking. If the ranking of the relative time of the sub-module is after the preset ranking in the sorting result and the relative time is greater than a second preset time, a black module determination sub-unit is configured to determine that all other sub-modules after the sub-module exist a high risk of black module. If the ranking of the sub-module is before the preset ranking in the sorting result, a circuit abnormality determination sub-unit is configured to determine that the sub-module exists an occasional abnormality of the control board or the power supply circuit.

9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method of any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 4.

11. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 4.

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