Online monitoring method, system and storage medium for comprehensive operation risk of controllable commutation converter

Abstract

A method, system and storage medium for online monitoring of comprehensive operation risk of a controllable phase-changing converter, which divides each single valve of the controllable phase-changing converter into four sub-valves; calculates the real-time failure rate of each key component of each sub-valve based on stress parameters; dynamically adjusts the real-time failure rate weight of each key component in each sub-valve; calculates the failure rate of each third-level fault event in each sub-valve based on the real-time failure rate of the key component and the dynamically adjusted failure rate weight; takes the failure impact caused by each failure mode of the sub-valve as a second-level fault event, calculates the failure rate of each second-level fault event; calculates the failure rate of the top fault event, and obtains the final overall comprehensive operation risk index of the controllable phase-changing converter. The present invention can realize the online evaluation of the operation risk of the new controllable phase-changing converter under different operation modes and changing operation state parameter conditions, and provide a reliable reference basis for operation decision-making for field operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of power transmission and transformation, and relates to operating status monitoring of a direct current transmission converter, and in particular to an online monitoring method, monitoring system, equipment and storage medium for operating risks of a controllable commutation converter. Background Art

[0002] The controllable commutation converter is developed on the basis of the traditional thyristor converter. It is a new type of converter with controllable commutation capability, which can effectively solve the commutation failure problem of the receiving-end converter and avoid the occurrence and expansion of multi-feed receiving-end power grid failure.

[0003] Compared with traditional converters, the structure of controllable commutation converters is more complex. A transfer branch containing controllable and uncontrollable valves is added, and controllable valves are also added to the main flow branch. At the same time, the controllable commutation converter valve also has two operating modes: grid commutation mode and controllable commutation mode. In different operating modes, the controllable commutation converter has different equivalent topology circuits, and the access methods of power electronic devices are also different. In addition, the load and operating environment also affect the operation of the controllable commutation converter.

[0004] Traditional converter operation risk assessment technologies include:

[0005] CN202010620261.9 discloses a method and system for online monitoring and evaluation of a converter valve, the method comprising: using a variety of monitoring devices to monitor and obtain the operating status of the converter valve and the environmental status of the converter valve hall; using a preset fault judgment method to identify whether the converter valve hall environment is faulty, and using a variety of preset fault target tracking methods to track and locate the fault point to obtain a fault identification result and a fault tracking and locating result; according to the converter valve operating status information, using a preset evaluation method to perform a preliminary evaluation on the fault identification results and fault tracking and locating results obtained by a variety of preset fault target tracking methods, and performing a comprehensive evaluation again based on each preliminary evaluation result to obtain an evaluation result.

[0006] CN202010069208.4 discloses a DC converter valve state detection method based on port current timing characteristics, including the following steps: collecting the three-phase AC current on the valve side of the converter of the DC transmission system; taking the equality of the currents of the two phase-changing valves as the reference value, defining the current greater than the reference value as the valve on state, and defining the current less than the reference value as the valve off state; calculating the time width of each valve on state based on the relative relationship between the amplitudes of the three-phase AC current; comparing the time width of the 6 valve on states with the time width of the normal operating valve on state, judging whether the 6 valve states are normal based on the comparison results and locating all abnormal valves.

[0007] CN201810840499.5 discloses a submodule state monitoring method for a modular multi-level converter, the method comprising: respectively monitoring the change of the capacitance value of each submodule in real time, thereby monitoring the fault state of each submodule according to the change of the capacitance value of the submodule. The method for monitoring the change of the capacitance value of the submodule is: in each sampling period, judging the charging and discharging state of the capacitor; in the charging process of the capacitor, detecting the bridge arm current in each sampling period, thereby accumulating the charging amount of the capacitor according to the sampling period and the bridge arm current in each sampling period, and then calculating the capacitance value of the capacitor according to the charging amount, the initial voltage, and the termination voltage; judging its change according to the capacitance value of the capacitor calculated multiple times.

[0008] CN201810107497.5 discloses a method and system for evaluating the reliability of a flexible direct current transmission MMC converter valve, comprising: establishing an MMC converter valve fault tree based on the topological structure of the flexible direct current transmission MMC converter valve; determining the minimum cut set of the MMC converter valve fault tree based on the MMC converter valve fault tree; and determining the reliability evaluation index of the MMC converter valve based on the minimum cut set of the MMC converter valve fault tree.

[0009] The above-mentioned existing technical solutions do not consider the influence of the operation mode and operation status parameters when evaluating the operation risk of the new controllable commutation converter. As a new type of engineering application converter, there is currently no online operation risk monitoring method and monitoring system related technology for the controllable commutation converter that considers the influence of the operation mode and operation status parameters. Summary of the invention

[0010] In order to solve the technical problem that the existing technology cannot realize online monitoring of the operating status and operating risk of the controllable commutation converter, the present invention proposes an online monitoring method and monitoring system for the operating risk of the controllable commutation converter that combines the above-mentioned real-time failure rate of key components and multi-level reliability evaluation of the converter. The present invention can realize the online evaluation of the operating risk of the new controllable commutation converter under different operating modes and changing operating status parameter conditions, and provide a reliable reference for operation decision-making for on-site operation.

[0011] In order to achieve the above-mentioned invention objectives, this application specifically adopts the following technical solutions.

[0012] In a first aspect, the present application discloses an online monitoring method for comprehensive operation risk of a controllable commutation converter, the monitoring method comprising the following contents:

[0013] Each single valve of the controllable commutation converter is divided into four sub-valves: a main thyristor valve VN1, a main IGBT valve VN2, an auxiliary IGBT valve VN3, and an auxiliary thyristor valve VN4;

[0014] Calculate the real-time failure rate of each sub-valve key component based on stress parameters;

[0015] Dynamically adjust the real-time failure rate weight of each key component in each sub-valve, and sort them according to the real-time failure rate and the product of the failure rate weight;

[0016] The same type of failures caused by different components are called a failure mode. Each failure mode is regarded as a third-level failure event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each third-level failure event in each sub-valve is calculated.

[0017] The failure impact caused by each failure mode of the sub-valve is regarded as a secondary failure event, and the failure rate of each secondary failure event is calculated;

[0018] Calculate the failure rate of the top fault event and obtain the overall comprehensive operation risk index of the final controllable commutation converter .

[0019] More preferably,

[0020] The key components include thyristors, IGBTs, resistors, capacitors, diodes, and printed circuit boards.

[0021] More preferably,

[0022] The stress parameters include temperature, voltage, and mechanical vibration;

[0023] Real-time component failure rate Calculate as follows:

[0024] ,

[0025] in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

[0026] More preferably,

[0027] The basic failure rate of components is provided by the component manufacturers;

[0028] When the relevant temperature detection value of the component in actual operation is greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0029] When the relevant temperature detection value of the component in actual operation is not greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to less than 1 or no adjustment;

[0030] When the relevant voltage detection value of the component in actual operation is greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0031] When the relevant voltage detection value of the component in actual operation is not greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to less than 1 or no adjustment;

[0032] According to the peak value of vibration acceleration borne by the installation position during actual operation, the mechanical vibration adjustment coefficient Adjust to a value not less than 1.

[0033] More preferably,

[0034] The initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 is:

[0035] ,

[0036] represents the failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

[0037] More preferably,

[0038] According to the component failure situation in each monitoring cycle, the weight of the failure rate in each sub-valve is adjusted in real time.

[0039] More preferably,

[0040] When a certain type of key component in a sub-valve fails during the monitoring period, the failure rate of the key component in the sub-valve increases with the additional failure weight, and the failure rate weights of the same type of key components in other sub-valves increase in proportion to the additional weight, while the failure rates of other components remain unchanged;

[0041] The fault additional weight decreases exponentially as the number of monitoring cycles increases.

[0042] More preferably,

[0043] When a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate and the product of the failure rate weight;

[0044] ,

[0045] is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

[0046] More preferably,

[0047] Failure rate of the kth level 3 failure event Calculated using the following formula:

[0048] ,

[0049] in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

[0050] More preferably,

[0051] The failure rate of the fth secondary failure event is calculated according to the following formula:

[0052] ,

[0053] in, is the failure rate of the fth secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

[0054] More preferably,

[0055] The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

[0056] More preferably,

[0057] The fault top events include Event 1 controllable phase-commutation commutation mode valve lock exit, Event 2 controllable phase-commutation commutation mode exit to power grid phase-commutation commutation mode, and Event 3 power grid phase-commutation commutation mode valve lock exit.

[0058] More preferably,

[0059] The failure rate of each top event is:

[0060] ;

[0061] ;

[0062] ;

[0063] in, Indicates the failure rate of the controllable commutation mode commutation valve lockout exit in Event 1. Indicates the failure rate of Event2 controllable commutation mode exiting to grid commutation mode, Indicates the failure rate of the commutation valve lockout exit in Event 3 grid commutation mode; , , , , They respectively represent the failure rates of four secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

[0064] More preferably,

[0065] Overall comprehensive operation risk index of controllable commutation converter Calculate as follows:

[0066] ,

[0067] , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

[0068] More preferably,

[0069] The comprehensive operation risk online monitoring method further includes:

[0070] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued;

[0071] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance;

[0072] Among them, the basic risk index It is the controllable commutation converter operation risk index calculated based on the basic failure rates of each key component provided by the component manufacturer and the basic failure rates of each key component according to the same initial failure rate weight.

[0073] More preferably,

[0074] The alarm threshold is 1.3;

[0075] The maintenance threshold is 1.6.

[0076] In a second aspect of the present application, an online monitoring system for comprehensive operation risks of a controllable commutation converter based on the aforementioned monitoring method is disclosed;

[0077] The online monitoring system includes a key component real-time failure rate calculation module, a real-time failure rate weight dynamic adjustment module, a third-level failure event failure rate calculation module, a second-level failure event failure rate calculation module, a top failure event failure rate and a comprehensive operation risk index calculation module;

[0078] The key component real-time failure rate calculation module calculates the real-time failure rate of each sub-valve key component based on the stress parameters;

[0079] The real-time failure rate weight dynamic adjustment module dynamically adjusts the real-time failure rate weight of each key component in each sub-valve, and sorts them according to the real-time failure rate and the product of the failure rate weight;

[0080] The three-level fault event failure rate calculation module refers to the same type of faults caused by different components as a fault mode, and regards each fault mode as a three-level fault event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each three-level fault event in each sub-valve is calculated;

[0081] The secondary fault event failure rate calculation module takes the fault impact caused by each failure mode of the sub-valve as a secondary fault event and calculates the failure rate of each secondary fault event;

[0082] The fault rate of the top fault event and the comprehensive operation risk index calculation module calculates the fault rate of the top fault event and obtains the overall comprehensive operation risk index of the final controllable commutation converter. .

[0083] More preferably,

[0084] Real-time component failure rate Calculate as follows:

[0085] ,

[0086] in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

[0087] More preferably,

[0088] The real-time failure rate weight dynamic adjustment module first assigns the initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 as follows:

[0089] ,

[0090] represents the failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

[0091] More preferably,

[0092] When a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate and the product of the failure rate weight;

[0093] ,

[0094] is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

[0095] More preferably,

[0096] The three-level fault event failure rate calculation module calculates the failure rate of the kth three-level fault event according to the following formula: :

[0097] ,

[0098] in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

[0099] More preferably,

[0100] The secondary fault event failure rate calculation module calculates the failure rate of the fth secondary fault event according to the following formula;

[0101] ,

[0102] in, is the failure rate of the fth secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

[0103] More preferably,

[0104] The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

[0105] More preferably,

[0106] The fault rate of the top fault event and the comprehensive operation risk index calculation module divide the top fault events into: Event 1 controllable phase-commutation commutation mode valve locking exit, Event 2 controllable phase-commutation commutation mode exits to the grid phase-commutation commutation mode, and Event 3 grid phase-commutation commutation mode valve locking exit.

[0107] More preferably,

[0108] The failure rate of the top fault event and the comprehensive operation risk index calculation module calculate the failure rate of each top event according to the following formula:

[0109] ;

[0110] ;

[0111] ;

[0112] in, Indicates the failure rate of the controllable commutation mode commutation valve lockout exit in Event 1. Indicates the failure rate of Event2 controllable commutation mode exiting to grid commutation mode, Indicates the failure rate of the commutation valve lockout exit in Event 3 grid commutation mode; , , , , They respectively represent the failure rates of four secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

[0113] More preferably,

[0114] The fault rate of the top fault event and the comprehensive operation risk index calculation module calculates the overall comprehensive operation risk index of the controllable commutation converter according to the following formula :

[0115] ,

[0116] , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

[0117] More preferably,

[0118] The comprehensive operation risk online monitoring system further includes a comprehensive operation risk judgment module:

[0119] The comprehensive operation risk judgment module is based on the basic failure rate of each key component provided by the component manufacturer, and the controllable commutation converter operation risk index calculated by the basic failure rate of each key component according to the same initial failure rate weight. ;

[0120] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued;

[0121] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance.

[0122] In the third aspect of the present application, protection is sought for an electronic device, comprising:

[0123] One or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method for online monitoring of comprehensive operating risks of the controllable commutated converter.

[0124] In a fourth aspect of the present application, protection is sought for a computer-readable storage medium having a computer program stored thereon, the program being used to process the steps of the method for online monitoring of comprehensive operating risks of a controllable commutated converter.

[0125] Compared with the prior art, this application has the following beneficial technical effects:

[0126] (1) The present invention proposes a comprehensive operation risk assessment method for a new controllable commutation converter. The methods proposed in the prior art cannot meet the risk assessment requirements of a new controllable commutation converter with complex circuit topology and structural form under variable stress conditions. The present invention solves the problem of calculating the real-time failure rate of components under variable stress conditions, which is more in line with the actual operating conditions and requirements on site.

[0127] (2) The existing methods use the port current timing characteristics, which can only determine whether the overall operation of the converter valve meets the specified requirements, but cannot derive the quantitative operation risk of the converter. The present invention collects the operation data of the converter valve from multiple aspects and combines it with the preset model to derive the quantitative operation risk of the converter. The obtained results are more intuitive and more conducive to the reference of on-site personnel.

[0128] (3) The online monitoring method and monitoring system for the comprehensive operating risk of a controllable phase-commutated converter proposed in the present invention combine a variety of related factors to calculate the comprehensive operating risk of the controllable phase-commutated converter in a hierarchical manner, and the results obtained are more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0129] Figure 1 This is the basic topological structure diagram of CLCC;

[0130] Figure 2 It is a flow chart of the method for online monitoring of comprehensive operation risk of controllable commutation converter of the present invention;

[0131] Figure 3 It is the fault tree of the controllable phase-changing commutation mode commutation valve lockout exit event;

[0132] Figure 4 It is a fault tree for the event of the controlled phase-commutation mode exiting to the grid phase-commutation mode;

[0133] Figure 5 This is the fault tree for the converter valve lockout exit event in the grid commutation mode. DETAILED DESCRIPTION

[0134] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0135] like Figure 2 As shown, on the one hand, the present application discloses an online monitoring method for comprehensive operating risks of a controllable phase-commutated converter, including the following contents.

[0136] (1) Each single valve of the controllable commutation converter is divided into four sub-valves: main thyristor valve VN1, main IGBT valve VN2, auxiliary IGBT valve VN3, and auxiliary thyristor valve VN4;

[0137] See also Figure 1 , is a schematic diagram of the electrical topology of a single valve of a controllable commutation converter. The electrical topology complexity of a controllable commutation converter is much higher than that of a traditional grid commutation converter. A single valve includes a main thyristor valve VN1, a low-voltage IGBT valve VN2, several high-voltage IGBT valves VN3, and several auxiliary thyristor valves VN4.

[0138] (2) Calculate the real-time failure rate of each key component of the sub-valve based on the stress parameters;

[0139] The key components include thyristors, IGBTs, resistors, capacitors, diodes, and printed circuit boards.

[0140] The stress parameters include temperature, voltage, and mechanical vibration;

[0141] Real-time component failure rate Calculate as follows:

[0142] ,

[0143] in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

[0144] The basic failure rates of components are provided by the component manufacturers.

[0145] When the relevant temperature detection value of the component in actual operation is greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0146] When the relevant temperature detection value of the component in actual operation is not greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to less than 1 or no adjustment;

[0147] When the relevant voltage detection value of the component in actual operation is greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0148] When the relevant voltage detection value of the component in actual operation is not greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to less than 1 or no adjustment;

[0149] According to the peak value of vibration acceleration borne by the installation position during actual operation, the mechanical vibration adjustment coefficient Adjust to a value not less than 1.

[0150] In a preferred embodiment of the present invention, for a printed circuit board,

[0151] Temperature adjustment factor Calculate as follows:

[0152] ,

[0153] in, To determine the basic failure rate of printed circuit boards The corresponding maximum temperature rise of the core components of the printed circuit board, The maximum temperature rise of the core components of the printed circuit board during actual operation. The maximum allowable temperature rise of the core components of the printed circuit board. Adjust parameters for printed circuit board temperature.

[0154] .

[0155] Voltage Regulation Factor The value is 1.

[0156] Mechanical vibration adjustment factor Determine as follows:

[0157] ,

[0158] in, It is the peak value of vibration acceleration that the printed circuit board installation location is subjected to during actual operation.

[0159] (3) Dynamically adjust the real-time failure rate weight of each key component in each sub-valve, and sort them according to the real-time failure rate and the product of the failure rate weight;

[0160] First, the real-time failure rates of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 are assigned initial weights as follows:

[0161] ,

[0162] represents the failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

[0163] Then, according to the component failure situation in each monitoring cycle, the weight of the failure rate in each sub-valve is adjusted in real time:

[0164] When a certain type of key component in a sub-valve fails during the monitoring period, the failure rate of the key component in the sub-valve increases with the additional failure weight, and the failure rate weights of the same type of key components in other sub-valves increase in proportion to the additional weight, while the failure rates of other components remain unchanged;

[0165] The fault additional weight decreases exponentially as the number of monitoring cycles increases.

[0166] In a preferred embodiment of the present invention,

[0167] When a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate and the product of the failure rate weight;

[0168] ,

[0169] is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

[0170] (4) The same type of failures caused by different components are called a failure mode. Each failure mode is regarded as a third-level failure event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each third-level failure event in each sub-valve is calculated;

[0171] Failure rate of the kth level 3 failure event Calculated using the following formula:

[0172] ,

[0173] in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

[0174] (5) Taking the failure impact caused by each failure mode of the sub-valve as a secondary failure event, calculate the failure rate of each secondary failure event;

[0175] The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

[0176] The failure rate of the fth secondary failure event is calculated according to the following formula:

[0177] ,

[0178] in, is the failure rate of the fth secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

[0179] (6) Calculate the failure rate of the top fault event and obtain the overall comprehensive operation risk index of the final controllable commutation converter .

[0180] The fault top events include Event 1 controllable phase-commutation commutation mode valve lock exit, Event 2 controllable phase-commutation commutation mode exit to power grid phase-commutation commutation mode, and Event 3 power grid phase-commutation commutation mode valve lock exit.

[0181] See also Figure 3 , Figure 4 and Figure 5 , the failure rate of each top event is:

[0182] ;

[0183] ;

[0184] ;

[0185] in, Indicates the failure rate of the controllable commutation mode commutation valve lockout exit in Event 1. Indicates the failure rate of Event2 controllable commutation mode exiting to grid commutation mode, Indicates the failure rate of the commutation valve lockout exit in Event 3 grid commutation mode; , , , , They respectively represent the failure rates of four secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

[0186] Overall comprehensive operation risk index of controllable commutation converter Calculate as follows:

[0187] ,

[0188] , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

[0189] The present invention may further include:

[0190] (7) When the comprehensive operation risk index and the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued;

[0191] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance;

[0192] Among them, the basic risk index It is the controllable commutation converter operation risk index calculated based on the basic failure rates of each key component provided by the component manufacturer and the basic failure rates of each key component according to the same initial failure rate weight.

[0193] In a preferred embodiment of the present invention, the alarm threshold is 1.3 and the maintenance threshold is 1.6.

[0194] The second aspect of the present application discloses an online monitoring system for comprehensive operation risks of a controllable commutation converter based on the monitoring method.

[0195] The comprehensive operation risk online monitoring system of the controllable commutation converter includes a real-time failure rate calculation module for key components, a real-time failure rate weight dynamic adjustment module, a third-level fault event failure rate calculation module, a second-level fault event failure rate calculation module, a top fault event failure rate and a comprehensive operation risk index calculation module.

[0196] Real-time failure rate calculation module for key components:

[0197] Calculate the real-time failure rate of each sub-valve key component based on stress parameters;

[0198] Real-time component failure rate Calculate as follows:

[0199] ,

[0200] in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

[0201] Real-time failure rate weight dynamic adjustment module:

[0202] The real-time failure rate weight dynamic adjustment module dynamically adjusts the real-time failure rate weight of each key component in each sub-valve, and sorts them according to the real-time failure rate and the product of the failure rate weight;

[0203] The real-time failure rate weight dynamic adjustment module first assigns the initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 as follows:

[0204] ,

[0205] represents the failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

[0206] When a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate and the product of the failure rate weight;

[0207] ,

[0208] is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1, and so on. The value of n when the key component fails in the earlier monitoring cycle can be obtained.

[0209] Level 3 fault event failure rate calculation module:

[0210] The three-level fault event failure rate calculation module calculates the failure rate of the kth three-level fault event according to the following formula: :

[0211] ,

[0212] in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

[0213] Secondary fault event failure rate calculation module:

[0214] The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

[0215] The secondary fault event failure rate calculation module calculates the failure rate of the fth secondary fault event according to the following formula;

[0216] ,

[0217] in, is the failure rate of the fth secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

[0218] Fault top event failure rate and comprehensive operation risk index calculation module:

[0219] The top fault events are divided into: Event 1 controllable phase-commutation commutation mode valve lock exit, Event 2 controllable phase-commutation commutation mode exits to grid phase-commutation commutation mode, Event 3 grid phase-commutation commutation mode valve lock exit.

[0220] The failure rate of the top fault event and the comprehensive operation risk index calculation module calculate the failure rate of each top event according to the following formula:

[0221] ;

[0222] ;

[0223] ;

[0224] in, Indicates the failure rate of the controllable commutation mode commutation valve lockout exit in Event 1. Indicates the failure rate of Event2 controllable commutation mode exiting to grid commutation mode, Indicates the failure rate of the commutation valve lockout exit in Event 3 grid commutation mode; , , , , They respectively represent the failure rates of four secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

[0225] The fault rate of the top fault event and the comprehensive operation risk index calculation module calculates the overall comprehensive operation risk index of the controllable commutation converter according to the following formula :

[0226] ,

[0227] , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

[0228] The comprehensive operation risk online monitoring system further includes a comprehensive operation risk judgment module:

[0229] The comprehensive operation risk judgment module is based on the basic failure rate of each key component provided by the component manufacturer, and the controllable commutation converter operation risk index calculated by the basic failure rate of each key component according to the same initial failure rate weight. ;

[0230] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued;

[0231] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance.

[0232] The present application also discloses an electronic device, comprising:

[0233] One or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method for online monitoring of comprehensive operating risks of the controllable commutated converter.

[0234] On the other hand, the present application discloses a computer-readable storage medium having a computer program stored thereon, wherein the computer program is used to process the steps of the method for online monitoring of comprehensive operating risks of a controllable commutated converter.

[0235] The following is a detailed description of the method for online monitoring of the comprehensive operation risk of a controllable phase-commutated converter of the present invention through a specific embodiment. In this embodiment, the method for online monitoring of the comprehensive operation risk of a controllable phase-commutated converter comprises the following steps:

[0236] Step 1: Divide each single valve of the controllable commutation converter into four sub-valves: a main thyristor valve VN1, a main IGBT valve VN2, an auxiliary IGBT valve VN3, and an auxiliary thyristor valve VN4.

[0237] Step 2: Calculate the real-time failure rate of each sub-valve key component based on the stress parameters;

[0238] (1) Determine the types of key electrical components of controllable commutation converters and subdivide the key components according to device models;

[0239] Among them, the key components of the controllable commutation converter determined include thyristors, IGBTs, diodes, resistors, capacitors, and printed circuit board types; based on the classification of key component types, they are subdivided according to specific models to form a list of key components of the controllable commutation converter 1.

[0240] Table 1

[0241]

[0242] (2) Determine the basic failure rate model of key components of different types and models;

[0243] The basic model of component failure rate is constructed using data provided by device manufacturers. The basic model of failure rate is represented by a fixed value failure rate λ, with the unit of "times / hour".

[0244] (3) Determine the failure rate model of key components and parts of each type and model taking into account stress;

[0245] On the basis of establishing the basic model of the failure rate of key components of the converter, the stress parameters that affect the failure rate of various components are determined. Among them, the stress parameters that affect the failure rate of components include temperature, voltage, mechanical vibration and impact.

[0246] The failure rate model of key components of various types and models taking into account stress is constructed as follows, which consists of the basic failure rate and the failure rate adjustment coefficient:

[0247] ,

[0248] in, Indicates the working failure rate;

[0249] represents the basic failure rate;

[0250] , , is the failure rate adjustment factor;

[0251] represents the temperature coefficient;

[0252] represents the voltage coefficient;

[0253] Represents the mechanical vibration coefficient.

[0254] When the relevant temperature detection value of the component in actual operation is greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0255] When the relevant temperature detection value of the component in actual operation is not greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to less than 1 or no adjustment;

[0256] When the relevant voltage detection value of the component in actual operation is greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to be greater than 1 or not adjusted;

[0257] When the relevant voltage detection value of the component in actual operation is not greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to less than 1 or no adjustment;

[0258] According to the peak value of vibration acceleration borne by the installation position during actual operation, the mechanical vibration adjustment coefficient Adjust to a value not less than 1.

[0259] Step 3: Dynamically adjust the real-time failure rate weight of each key component in each sub-valve, and sort them according to the real-time failure rate and the product of the failure rate weight;

[0260] The initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 is:

[0261] ,

[0262] represents the failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

[0263] Then, according to the component failure situation in each monitoring cycle, the weight of the failure rate in each sub-valve is adjusted in real time:

[0264] When a certain type of key component in a sub-valve fails during the monitoring period, the failure rate of the key component in the sub-valve increases with the additional failure weight, and the failure rate weights of the same type of key components in other sub-valves increase in proportion to the additional weight, while the failure rates of other components remain unchanged;

[0265] The fault additional weight decreases exponentially as the number of monitoring cycles increases.

[0266] Specifically, when a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate multiplied by the failure rate weight;

[0267] ,

[0268] is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

[0269] Step 4: The same type of failures caused by different components are called a failure mode. Each failure mode is regarded as a third-level failure event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each third-level failure event in each sub-valve is calculated;

[0270] (1) First, the failure modes and impacts of the key components of all controllable commutated converters are analyzed and the corresponding result table is formed, as shown in Table 2 below; the result includes subsystem code, subsystem name, component code, component name, failure mode code, failure mode, mission stage, failure impact, and failure probability.

[0271] Table 2

[0272]

[0273]

[0274] (2) Calculate the failure rate of the third-level failure time;

[0275] Failure rate of the kth level 3 failure event Calculated using the following formula:

[0276] ,

[0277] in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

[0278] Step 5: Taking the failure impact caused by each failure mode of the sub-valve as a secondary failure event, calculate the failure rate of each secondary failure event;

[0279] In this embodiment, the secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

[0280] The failure rate of the fth secondary failure event is calculated according to the following formula:

[0281] ,

[0282] in, is the failure rate of the fth secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

[0283] Step 6: Calculate the failure rate of the top fault event and obtain the overall comprehensive operation risk index of the final controllable commutation converter .

[0284] In an embodiment of the present invention, as shown in the attached Figure 3-5 As shown in the figure, according to the circuit topology connection and control function influence relationship, the fault tree method is applied, the final impact is taken as the converter top event, and the fault mode in the key fault mode and impact analysis table is taken as the basic fault event to establish the controllable commutation converter fault tree. The controllable commutation converter operation fault top events include Event 1 controllable commutation commutation mode valve lock exit, Event 2 controllable commutation commutation mode exit to grid commutation commutation mode, and Event 3 grid commutation commutation mode valve lock exit.

[0285] According to the three fault top events sorted out above, the fault trees of the three fault top events are sorted out respectively as follows: Figure 3-Figure 5 In the fault tree of the three fault top events, five secondary intermediate events are collapsed: VN1 valve thyristor level loss redundancy exceeding K / N, VN2 valve IGBT level loss redundancy exceeding K / N, VN2 valve bypass thyristor level loss redundancy exceeding K / N, VN3 valve IGBT level loss redundancy exceeding K / N, and VN4 valve thyristor level loss redundancy exceeding K / N.

[0286] The failure rate of each top event is:

[0287] ;

[0288] ;

[0289] ;

[0290] in, Indicates the failure rate of the controllable commutation mode commutation valve lockout exit in Event 1. Indicates the failure rate of Event2 controllable commutation mode exiting to grid commutation mode, Indicates the failure rate of the commutation valve lockout exit in Event 3 grid commutation mode; , , , , They respectively represent the failure rates of four secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

[0291] Overall comprehensive operation risk index of controllable commutation converter Calculate as follows:

[0292]

[0293] , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

[0294] Step 7: When the comprehensive operational risk index and the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued;

[0295] When the comprehensive operation risk index and the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance;

[0296] Among them, the basic risk index It is the controllable commutation converter operation risk index calculated based on the basic failure rates of each key component provided by the component manufacturer and the basic failure rates of each key component according to the same initial failure rate weight.

[0297] In this embodiment, the alarm threshold is preferably 1.3, and the maintenance threshold is preferably 1.6.

[0298] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0299] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0300] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0301] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of the computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit may execute the computer-readable program instructions, thereby implementing various aspects of the present disclosure.

[0302] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for online monitoring of comprehensive operating risks of a controllable commutation converter, characterized in that: The monitoring method includes the following contents: Each single valve of the controllable commutation converter is divided into four sub-valves: a main thyristor valve VN1, a main IGBT valve VN2, an auxiliary IGBT valve VN3, and an auxiliary thyristor valve VN4; Calculate the real-time failure rate of each sub-valve key component based on stress parameters, including temperature, voltage, and mechanical vibration; Dynamically adjust the real-time failure rate weight of each key component in each sub-valve, and sort them according to the real-time failure rate and the product of the failure rate weight; The same type of failures caused by different components are called a failure mode. Each failure mode is regarded as a third-level failure event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each third-level failure event in each sub-valve is calculated. The failure impact caused by each failure mode of the sub-valve is regarded as a secondary failure event, and the failure rate of each secondary failure event is calculated based on the failure rate of each tertiary failure event in the sub-valve; The failure rate of the top fault event is calculated based on the failure rate of each secondary fault event, and the top fault event includes the controllable phase-change commutation mode valve lock-out, the controllable phase-change commutation mode exits to the grid phase-change commutation mode, and the grid phase-change commutation mode valve lock-out; The overall comprehensive operation risk index of the final controllable commutation converter is obtained according to various fault top events combined with the impact weights. .

2. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 is characterized in that: The key components include thyristors, IGBTs, resistors, capacitors, diodes, and printed circuit boards.

3. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 or 2, characterized in that: Real-time component failure rate Calculate as follows: in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

4. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 3 is characterized in that: The basic failure rate of components is provided by the component manufacturers; When the relevant temperature detection value of the component in actual operation is greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to be greater than 1 or not adjusted; When the relevant temperature detection value of the component in actual operation is not greater than the reference temperature when the component manufacturer determines the basic failure rate, the temperature adjustment coefficient Adjust to less than 1 or no adjustment; When the relevant voltage detection value of the component in actual operation is greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to be greater than 1 or not adjusted; When the relevant voltage detection value of the component in actual operation is not greater than the reference voltage when the component manufacturer determines the basic failure rate, the voltage adjustment coefficient Adjust to less than 1 or no adjustment; According to the peak value of vibration acceleration borne by the installation position during actual operation, the mechanical vibration adjustment coefficient Adjust to a value not less than 1.

5. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 is characterized in that: The initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 is: ， represents the real-time failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

6. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 5 is characterized in that: According to the component failure situation in each monitoring cycle, the weight of the real-time failure rate of the key components in each sub-valve is adjusted in real time.

7. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 6 is characterized in that: When a certain type of key component in a sub-valve fails during the monitoring period, the failure rate of the key component in the sub-valve increases the additional failure weight, and the real-time failure rate weights of the same type of key components in other sub-valves increase in proportion to the additional weight, while the real-time failure rate weights of other components remain unchanged; The fault additional weight decreases exponentially as the number of monitoring cycles increases.

8. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 5 is characterized in that: When a key component in a sub-valve fails during operation, after the failure is restored, the real-time failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate multiplied by the failure rate weight; is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

9. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 or 8, characterized in that: Failure rate of the kth level 3 failure event Calculated using the following formula: in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

10. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 9, characterized in that: The failure rate of the fth secondary failure event is calculated according to the following formula: in, is the failure rate of the f-th secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

11. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 10, characterized in that: The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

12. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 or 11, characterized in that: The failure rate of each top event is: in, Indicates the controllable phase-change commutation mode commutation valve lock-out failure rate, Indicates the failure rate of the controllable commutation mode exiting to the grid commutation mode, Indicates the failure rate of the commutation valve lockout in the power grid commutation mode; , , , , They respectively represent the failure rates of five secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

13. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 12, characterized in that: Overall comprehensive operation risk index of controllable commutation converter Calculate as follows: , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

14. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 1 or 13, characterized in that: The comprehensive operation risk online monitoring method further includes: When the comprehensive operation risk index With the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued; When the comprehensive operation risk index With the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance; Among them, the basic risk index It is the controllable commutation converter operation risk index calculated based on the basic failure rates of each key component provided by the component manufacturer and the basic failure rates of each key component according to the same initial failure rate weight.

15. The method for online monitoring of comprehensive operation risk of a controllable commutation converter according to claim 14, characterized in that: The alarm threshold is 1.3; The maintenance threshold is 1.

6.

16. An online monitoring system for comprehensive operation risk of a controllable commutation converter based on the monitoring method according to any one of claims 1 to 15, characterized in that: The online monitoring system includes a key component real-time failure rate calculation module, a real-time failure rate weight dynamic adjustment module, a third-level failure event failure rate calculation module, a second-level failure event failure rate calculation module, a top failure event failure rate and a comprehensive operation risk index calculation module; The key component real-time failure rate calculation module calculates the real-time failure rate of each sub-valve key component based on stress parameters, wherein the stress parameters include temperature, voltage, and mechanical vibration; The real-time failure rate weight dynamic adjustment module dynamically adjusts the real-time failure rate weight of each key component in each sub-valve, and sorts them according to the real-time failure rate and the product of the failure rate weight; The three-level fault event failure rate calculation module refers to the same type of faults caused by different components as a fault mode, and regards each fault mode as a three-level fault event. Based on the real-time failure rate of key components and the dynamically adjusted failure rate weight, the failure rate of each three-level fault event in each sub-valve is calculated; The secondary fault event failure rate calculation module takes the fault impact caused by each fault mode of the sub-valve as a secondary fault event, and calculates the failure rate of each secondary fault event based on the failure rate of each tertiary fault event in the sub-valve; The failure rate of the top fault event and the comprehensive operation risk index calculation module calculates the failure rate of the top fault event based on the failure rate of each secondary fault event, and obtains the overall comprehensive operation risk index of the final controllable commutation converter based on various top fault events combined with the impact weight. , where the top fault events include the controllable phase-commutation commutation mode valve locking exit, the controllable phase-commutation commutation mode exits to the grid phase-commutation commutation mode, and the grid phase-commutation commutation mode valve locking exit.

17. The online monitoring system for comprehensive operation risk of controllable commutation converter according to claim 16, characterized in that: Real-time component failure rate Calculate as follows: in, is the basic failure rate of the component, , and They are temperature adjustment coefficient, voltage adjustment coefficient and mechanical vibration adjustment coefficient respectively.

18. The online monitoring system for comprehensive operation risk of controllable commutation converter according to claim 17, characterized in that: The real-time failure rate weight dynamic adjustment module first assigns the initial weight value of the real-time failure rate of the key components in each sub-valve of the main thyristor valve VN1, the main IGBT valve VN2, the auxiliary IGBT valve VN3, and the auxiliary thyristor valve VN4 as follows: ， represents the real-time failure rate weight of the tth key component, Indicates the number of key components to which the corresponding sub-valve belongs.

19. The online monitoring system for comprehensive operation risk of controllable commutation converter according to claim 18, characterized in that: When a key component in a sub-valve fails during operation, after the failure is restored, the failure rate weight of the key component is adjusted in real time by adding the additional weight of the failure, and all key components are re-ranked according to the adjusted real-time failure rate and the product of the failure rate weight; is the number of key components contained in the sub-valve, n is the number of cycles from the cycle in which the key component fails to the current monitoring cycle. If a failure occurs in the current monitoring cycle, n=0, and if a failure occurs in the previous monitoring cycle, n=1.

20. The online monitoring system for comprehensive operation risk of controllable phase-commutated converter according to claim 19, characterized in that: The three-level fault event failure rate calculation module calculates the failure rate of the kth three-level fault event according to the following formula: : in, is the real-time failure rate of the tth key component corresponding to the kth third-level failure event of the sub-valve, is the real-time failure rate weight of the tth key component.

21. The online monitoring system for comprehensive operation risk of controllable phase-commutated converter according to claim 20, characterized in that: The secondary fault event failure rate calculation module calculates the failure rate of the fth secondary fault event according to the following formula; in, is the failure rate of the f-th secondary failure event, is the multiplication sign, is the failure rate of the kth level 3 fault event that can cause the level 2 fault event.

22. The online monitoring system for comprehensive operation risk of controllable phase-commutated converter according to claim 21, characterized in that: The secondary fault events include main thyristor valve VN1 thyristor level loss redundancy, main IGBT valve VN2 IGBT level loss redundancy, main IGBT valve VN2 bypass thyristor level loss redundancy, auxiliary IGBT valve VN3 IGBT level loss redundancy, and auxiliary thyristor valve VN4 thyristor level loss redundancy.

23. The online monitoring system for comprehensive operation risk of controllable phase-commutated converter according to claim 16, characterized in that: The fault rate of the top fault event and the comprehensive operation risk index calculation module divide the top fault events into: Event 1 controllable phase-commutation commutation mode valve locking exit, Event 2 controllable phase-commutation commutation mode exits to the grid phase-commutation commutation mode, and Event 3 grid phase-commutation commutation mode valve locking exit.

24. The online monitoring system for comprehensive operation risk of controllable phase-commutated converter according to claim 16, characterized in that: The failure rate of the top fault event and the comprehensive operation risk index calculation module calculate the failure rate of each top event according to the following formula: in, Indicates the controllable phase-change commutation mode commutation valve lock-out failure rate, Indicates the failure rate of the controllable commutation mode exiting to the grid commutation mode, Indicates the failure rate of the commutation valve lockout in the power grid commutation mode; , , , , They respectively represent the failure rates of five secondary fault events, namely, main thyristor valve VN1 thyristor-level redundancy loss, main IGBT valve VN2 IGBT-level redundancy loss, main IGBT valve VN2 bypass thyristor-level redundancy loss, auxiliary IGBT valve VN3 IGBT-level redundancy loss, and auxiliary thyristor valve VN4 thyristor-level redundancy loss.

25. The online monitoring system for comprehensive operation risk of controllable commutation converter according to claim 24, characterized in that: The fault rate of the top fault event and the comprehensive operation risk index calculation module calculates the overall comprehensive operation risk index of the controllable commutation converter according to the following formula : , , are the influence weights of the three top events respectively. When the controllable commutation converter operates in the controllable commutation mode, the influence weights are determined. ; When the controllable commutation converter operates in the grid commutation mode, the influence weight is determined as .

26. The online monitoring system for comprehensive operation risk of controllable commutation converter according to claim 16, characterized in that: The comprehensive operation risk online monitoring system further includes a comprehensive operation risk judgment module: The comprehensive operation risk judgment module is based on the basic failure rate of each key component provided by the component manufacturer, and the controllable commutation converter operation risk index calculated by the basic failure rate of each key component according to the same initial failure rate weight. ; When the comprehensive operation risk index With the basic risk index When the ratio is greater than the alarm threshold, an alarm signal is issued; When the comprehensive operation risk index With the basic risk index When the ratio is greater than the maintenance threshold, it is recommended to exit operation and perform maintenance.

27. An electronic device, characterized in that: It comprises one or more processors, one or more memories and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method for online monitoring of comprehensive operating risks of a controllable commutated converter according to any one of claims 1-15.

28. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program processes the steps of the method for online monitoring of comprehensive operating risks of a controllable commutated converter as described in any one of claims 1-15.

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