MMC converter valve abnormal submodule early warning and fault analysis method, system and device

Abstract

The invention discloses an MMC converter valve abnormal submodule early warning and fault analysis method, system and device, and the method comprises the steps: obtaining the temperature data and voltage data of an MMC converter valve submodule, and carrying out the alarm when the state of the submodule is judged to be abnormal according to the temperature data and voltage data; and obtaining fault state messages of the black module and the bypass module, and obtaining a fault analysis result according to the fault state messages. According to the method, online monitoring is performed on the MMC converter valve through a method of combining abnormal early warning and fault analysis, on one hand, abnormal early warning criteria are set from the two aspects of extreme values and relative values, the accuracy of fault monitoring can be improved, the stability of power grid operation can be improved, and on the other hand, the fault monitoring accuracy can be improved. According to the method, key fault information is extracted from massive messages sent by a converter valve bypass module or a black module for fault analysis, so that the quick response of the system is ensured, and the method is of great significance in improving the intelligent degree of operation and inspection.

Description

Technical Field

[0001] This invention belongs to the field of online monitoring technology for abnormal submodules of converter valves, and specifically relates to a method, system and equipment for early warning and fault analysis of abnormal submodules of MMC converter valves. Background Technology

[0002] Flexible DC transmission technology based on Modular Multilevel Converters (MMCs) and employing fully controlled Insulated Gate Bipolar Transistors (IGBTs) has been applied in a series of DC demonstration projects. Maintenance issues, particularly online monitoring of modular power devices in converter valves, have become a key focus. Converter valve equipment has long relied on a maintenance system primarily based on scheduled periodic maintenance, supplemented by reactive repairs. Scheduled maintenance typically includes major overhauls, minor repairs, emergency repairs, and periodic maintenance. The maintenance cycle is determined empirically by collecting and analyzing the average failure rate of power equipment, which leads to problems such as unreasonable maintenance interval settings that are out of sync with the actual operating conditions of the equipment.

[0003] Condition-based maintenance is a higher-level maintenance system developed from preventive maintenance. It is based on the current operating status of equipment. Through analysis and diagnosis of equipment operation monitoring information, it assesses whether there are any potential fault risks in the current operating state of the equipment, and then conducts targeted preventive maintenance based on the assessment results. This maintenance method not only allows for site-specific maintenance operations but also enables pre-planning of maintenance timing, reducing the impact of maintenance operations on the stable operation of the power grid. It represents a major development trend in power equipment maintenance technology.

[0004] In summary, with the development of high-voltage, high-capacity IGBT converter valves, online monitoring and timely early warning of converter valve submodules are particularly important. However, existing online temperature monitoring methods for converter valves suffer from problems such as simple judgment criteria and low level of intelligent operation and maintenance, resulting in low accuracy of fault monitoring, which in turn leads to untimely maintenance and affects the stable operation of the power grid.

[0005] This case arose in response to the shortcomings of the aforementioned existing methods. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system, and device for early warning and fault analysis of abnormal submodules in MMC converter valves. By combining abnormal warning and fault analysis, the invention enables online monitoring of MMC converter valves, which is of great significance for improving the level of intelligent operation and maintenance.

[0007] To achieve the above objectives, the solution of the present invention is:

[0008] A method for early warning and fault analysis of abnormal submodules in MMC converter valves, including,

[0009] The system acquires temperature and voltage data of the MMC converter valve submodule, and issues an alarm when the MMC converter valve submodule is in an abnormal state based on the temperature and voltage data. It also acquires fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module, and obtains fault analysis results based on the fault status messages.

[0010] Specifically, the system acquires temperature and voltage data from the MMC converter valve submodule, and based on this data, triggers an alarm when the submodule's status is abnormal.

[0011] Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower;

[0012] Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit.

[0013] Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

[0014] Specifically, based on the temperature data from each MMC converter valve submodule, the determination of extreme temperature exceeding the limit includes,

[0015] Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value.

[0016] If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

[0017] Specifically, based on the temperature data from each MMC converter valve submodule, determining if the relative temperature exceeds the limit includes:

[0018] The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively.

[0019] For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences.

[0020] If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

[0021] Specifically, based on the voltage data of each MMC converter valve submodule, the determination of extreme voltage exceeding the limit includes,

[0022] Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value.

[0023] If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

[0024] Specifically, based on the voltage data of each MMC converter valve submodule, determining relative voltage exceeding limits includes,

[0025] The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively.

[0026] For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences.

[0027] If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

[0028] This includes triggering an alarm when the MMC converter valve submodule is found to be in an abnormal state, and also includes...

[0029] When the MMC converter valve submodule is found to be abnormal, an alarm is triggered after confirming that the converter MMC is in the unlocked state and the MMC converter valve submodule is in a non-faulty state.

[0030] This includes acquiring fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module, and obtaining fault analysis results based on the fault status messages, including...

[0031] Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module;

[0032] Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment.

[0033] Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at fault + fault cause + fault result".

[0034] A fault analysis and early warning system for an abnormal MMC converter valve submodule includes,

[0035] The first acquisition module is configured to acquire temperature and voltage data from the MMC converter valve submodule.

[0036] The early warning module is configured to issue an alarm when the MMC converter valve submodule is in an abnormal state, based on the temperature data and the voltage data.

[0037] The second acquisition module is configured to acquire fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module; and...

[0038] The fault analysis module is configured to obtain fault analysis results based on the fault status message.

[0039] The first acquisition module obtains temperature and voltage data from the MMC converter valve submodule, including:

[0040] Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower;

[0041] The early warning module, based on the temperature and voltage data, determines when the MMC converter valve submodule is in an abnormal state and issues an alarm, including:

[0042] Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit.

[0043] Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

[0044] Specifically, based on the temperature data from each MMC converter valve submodule, the determination of extreme temperature exceeding the limit includes,

[0045] Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value.

[0046] If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

[0047] Specifically, based on the temperature data from each MMC converter valve submodule, determining if the relative temperature exceeds the limit includes:

[0048] The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively.

[0049] For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences.

[0050] If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

[0051] Specifically, based on the voltage data of each MMC converter valve submodule, the determination of extreme voltage exceeding the limit includes,

[0052] Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value.

[0053] If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

[0054] Specifically, based on the voltage data of each MMC converter valve submodule, determining relative voltage exceeding limits includes,

[0055] The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively.

[0056] For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences.

[0057] If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

[0058] The early warning module triggers an alarm when it detects an abnormal state in the MMC converter valve submodule. It also includes...

[0059] When the MMC converter valve submodule is found to be in an abnormal state, an alarm is triggered after confirming that the converter is in an unlocked state and the MMC converter valve submodule is in a non-faulty state.

[0060] The second acquisition module obtains fault status messages for the time period before and after the moment when the MMC converter valve submodule becomes a black module or bypass module, including:

[0061] Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module;

[0062] Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment.

[0063] The fault analysis module obtains fault analysis results based on the fault status message, including:

[0064] Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at fault + fault cause + fault result".

[0065] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, it implements the steps of the MMC converter valve abnormality submodule early warning and fault analysis method as described above.

[0066] A computer-readable storage medium storing a computer program; when executed by a processor, the computer program implements the steps of the aforementioned MMC converter valve anomaly submodule early warning and fault analysis method.

[0067] After adopting the above solution, the beneficial effects of the present invention are reflected in:

[0068] (1) Enrich testing standards

[0069] Existing MMC converter valve submodule monitoring only focuses on the bypass and signal on / off status of the MMC converter valve submodule, and the system monitors the real-time values ​​of the maximum and minimum five voltage and current values ​​of the valve tower's MMC converter valve submodules, lacking detailed evaluation criteria. This invention sets anomaly warning criteria from both extreme and relative value perspectives, performs fault analysis based on system messages, classifies anomalies into levels according to severity, and provides corresponding handling suggestions including appropriate time for maintenance, requesting immediate maintenance, and emergency shutdown maintenance, providing a basis for operation and maintenance.

[0070] (2) Improve the intelligence of operation and maintenance

[0071] When a converter valve bypass or black module fails, the background monitoring system typically sends status messages one by one throughout the entire process from the occurrence of the fault to the submodule's shutdown. This rapid transmission of massive amounts of messages in a short period can lead to the true cause of the fault being overlooked, making fault analysis impossible and hindering the implementation of intelligent operation and maintenance. This invention extracts key fault information from massive amounts of messages for fault analysis, ensuring a rapid response from the intelligent system. Attached Figure Description

[0072] Figure 1 This is a schematic diagram of the present invention;

[0073] Figure 2 This is a schematic diagram illustrating the working principle of the present invention. Detailed Implementation

[0074] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0075] Example 1

[0076] This invention provides a method for early warning and fault analysis of abnormal submodules in MMC converter valves, including,

[0077] The system acquires temperature and voltage data of the MMC converter valve submodule, and issues an alarm when the MMC converter valve submodule is in an abnormal state based on the temperature and voltage data. It also acquires fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module, and obtains fault analysis results based on the fault status messages.

[0078] Specifically, the system acquires temperature and voltage data from the MMC converter valve submodule, and based on this data, triggers an alarm when the submodule's status is abnormal.

[0079] Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower;

[0080] Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit.

[0081] Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

[0082] Specifically, based on the temperature data from each MMC converter valve submodule, the determination of extreme temperature exceeding the limit includes,

[0083] Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value.

[0084] If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

[0085] Specifically, based on the temperature data from each MMC converter valve submodule, determining if the relative temperature exceeds the limit includes:

[0086] The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively.

[0087] For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences.

[0088] If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

[0089] Specifically, based on the voltage data of each MMC converter valve submodule, the determination of extreme voltage exceeding the limit includes,

[0090] Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value.

[0091] If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

[0092] Specifically, based on the voltage data of each MMC converter valve submodule, determining relative voltage exceeding limits includes,

[0093] The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively.

[0094] For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences.

[0095] If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

[0096] This includes triggering an alarm when the MMC converter valve submodule is found to be in an abnormal state, and also includes...

[0097] When the MMC converter valve submodule is found to be abnormal, an alarm is triggered after confirming that the converter MMC is in the unlocked state and the MMC converter valve submodule is in a non-faulty state.

[0098] This includes acquiring fault status messages for the time period before and after the MMC converter valve submodule becomes a black module and bypass module, and obtaining fault analysis results based on the fault status messages, including...

[0099] Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module;

[0100] Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment.

[0101] Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at fault + fault cause + fault result".

[0102] Example 2

[0103] This invention also provides an early warning and fault analysis system for an abnormal submodule of an MMC converter valve, including,

[0104] The first acquisition module is configured to acquire temperature and voltage data from the MMC converter valve submodule.

[0105] The early warning module is configured to issue an alarm when the MMC converter valve submodule is in an abnormal state, based on the temperature data and the voltage data.

[0106] The second acquisition module is configured to acquire fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module; and...

[0107] The fault analysis module is configured to obtain fault analysis results based on the fault status message.

[0108] The first acquisition module obtains temperature and voltage data from the MMC converter valve submodule, including:

[0109] Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower;

[0110] The early warning module determines an abnormal state of the MMC converter valve submodule based on the temperature and voltage data and issues an alarm, including:

[0111] Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit.

[0112] Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

[0113] Specifically, based on the temperature data from each MMC converter valve submodule, the determination of extreme temperature exceeding the limit includes,

[0114] Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value.

[0115] If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

[0116] Specifically, based on the temperature data from each MMC converter valve submodule, determining if the relative temperature exceeds the limit includes:

[0117] The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively.

[0118] For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences.

[0119] If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

[0120] Specifically, based on the voltage data of each MMC converter valve submodule, the determination of extreme voltage exceeding the limit includes,

[0121] Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value.

[0122] If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

[0123] Specifically, based on the voltage data of each MMC converter valve submodule, determining relative voltage exceeding limits includes,

[0124] The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively.

[0125] For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences.

[0126] If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

[0127] The early warning module triggers an alarm when it detects an abnormal state in the MMC converter valve submodule. It also includes...

[0128] When the MMC converter valve submodule is found to be abnormal, an alarm is triggered after confirming that the converter MMC is in the unlocked state and the MMC converter valve submodule is in a non-faulty state.

[0129] The second acquisition module obtains fault status messages for the time period before and after the moment when the MMC converter valve submodule becomes a black module or bypass module, including:

[0130] Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module;

[0131] Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment.

[0132] The fault analysis module obtains fault analysis results based on the fault status message, including:

[0133] Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at fault + fault cause + fault result".

[0134] This invention proposes a method, system, and equipment for early warning and fault analysis of abnormal submodules in MMC converter valves. The valve tower submodule abnormality early warning analyzes the overvoltage, overtemperature, undervoltage, and low temperature conditions of the five largest and five smallest MMC converter valve submodules in each valve tower to determine the abnormal state of the submodule. The abnormal submodule fault analysis statistically analyzes the fault status of newly added bypass modules and black modules in each valve tower, classifying and statistically analyzing the fault phenomena and causes of each black module and bypass module. It also extracts the fault characteristics corresponding to the fault codes based on the alarm content and sends the analysis results as an alarm in the intelligent backend in the form of a message containing "valve tower status at the time of fault + fault cause + fault result".

[0135] In the first preferred embodiment of the present invention, as follows: Figure 1 As shown, it includes the following modules:

[0136] Acquisition module S10: includes a first acquisition module and a second acquisition module. The first acquisition module acquires the voltage and temperature parameters of the MMC converter valve submodule on a per-valve-to-valve basis, and the second acquisition module acquires the fault status messages of the bypass module and the black module on a per-valve-to-valve basis.

[0137] In this embodiment of the invention, telemetry data is collected as follows:

[0138] Each MMC converter valve submodule monitors the temperature of up to five MMC converter valve submodules, T. SM_MAX ={[T MAX_NO1 ],[T MAX_NO2 ],[T MAX_NO3 ],[T MAX_NO4 ],[T MAX_NO5 ]}, where T MAX_NO1 T represents the temperature of the submodule with the highest temperature among the five modules. MAX_NO2 This is the temperature of the submodule with the second highest temperature among the five modules, and so on.

[0139] Each MMC converter valve submodule monitors the temperature of at least five MMC converter valve submodules, T. SM_MIN ={[T MIN_NO1 ],[T MIN_NO2 ],[T MIN_NO3 ],[T MIN_NO4 ],[T MIN_NO5 ]}, where T MIN_NO1 T represents the temperature of the submodule with the lowest temperature among the five modules. MIN_NO2 This is the temperature of the submodule with the second lowest temperature among the five modules, and so on.

[0140] Each MMC converter valve submodule monitors the voltage of up to five MMC converter valve submodules, USM_MAX ={[U MAX_NO1 ],[U MAX_NO2 ],[U MAX_NO3 ],[U MAX_NO4 ],[U MAX_NO5 ]}, where U MAX_NO1 U is the voltage of the submodule with the highest voltage among the five modules. MAX_NO2 This is the voltage of the submodule with the second highest voltage among the five modules, and so on.

[0141] Each MMC converter valve submodule monitors the voltage of at least five MMC converter valve submodules, U SM_MIN ={[U MIN_NO1 ],[U MIN_NO2 ],[U MIN_NO3 ],[U MIN_NO4 ],[U MIN_NO5 ]}, where U MIN_NO1 U is the voltage of the submodule with the lowest voltage among the five modules. MIN_NO2 This refers to the voltage of the submodule with the second lowest voltage among the five modules, and so on.

[0142] Early warning module S20: Monitors the five largest and five smallest voltage and temperature parameters of a single valve submodule and analyzes MMC converter valve submodules with abnormal voltage or temperature.

[0143] In this embodiment of the invention, it is first determined that the converter is unlocked and the MMC single valve submodule is not faulty; then, the temperature abnormal MMC converter valve submodule is identified based on the five highest and five lowest temperatures of the MMC converter valve submodule in the valve tower; finally, the voltage abnormal MMC converter valve submodule is identified based on the five highest and five lowest voltages of the MMC converter valve submodule in the valve tower.

[0144] Specifically, the identification of temperature anomaly MMC converter valve submodules includes two criteria:

[0145] Criterion 1: An extreme temperature exceeding the limit alarm must meet the following two conditions simultaneously.

[0146] Condition 1: The temperature value of a single MMC converter valve submodule shall not exceed the maximum margin and shall not be less than the minimum margin. The maximum temperature of the MMC converter valve submodule is 60℃. The minimum temperature of the MMC converter valve submodule is 5℃.

[0147] Condition 2: The difference between the extreme temperature and the average value of the MMC converter valve submodule does not exceed the maximum deviation value, that is, |maximum value - average value| ≥ 3℃, |minimum value - average value| ≥ 3℃.

[0148] Criterion 2: A relative temperature exceeding the limit alarm must simultaneously meet the following two conditions.

[0149] Condition 1: The difference between the extreme temperature and the average value of the MMC converter valve submodule does not exceed the maximum deviation value, that is, |maximum value - average value| ≥ 5℃, |minimum value - average value| ≥ 5℃.

[0150] Condition 2: The judgment is made continuously for more than N times, and in this embodiment, it is made for more than 5 times.

[0151] Specifically, the identification of voltage anomaly MMC converter valve submodules includes two criteria:

[0152] Criterion 1: Extreme voltage over-limit alarm must meet the following two conditions simultaneously.

[0153] Condition 1: The voltage value of a single MMC converter valve submodule shall not exceed the maximum margin and shall not be less than the minimum margin. The maximum value of the MMC converter valve submodule capacitor voltage is taken as 2.56kV, and 2.6kV is taken considering the margin. The minimum value of the MMC converter valve submodule capacitor voltage is taken as 1.52kV, and 1.5kV is taken considering the margin.

[0154] Condition 2: Simultaneously, transient overvoltage conditions must be considered, meaning that all MMC converter valve submodules may experience collective overvoltage or undervoltage. The difference between the extreme voltage and the average voltage of the MMC converter valve submodules must not exceed the maximum deviation value, i.e.: |maximum value - average value| ≥ 50V, |minimum value - average value| ≥ 50V.

[0155] Criterion 2: The relative voltage over-limit alarm must meet the following two conditions simultaneously.

[0156] Condition 1: The difference between the extreme voltage and the average voltage of the MMC converter valve submodule shall not exceed the maximum deviation value, i.e.: |maximum value - average value| ≥ 100V, |minimum value - average value| ≥ 100V.

[0157] Condition 2: The judgment is made continuously for more than M times, and in this embodiment, it is more than 5 times.

[0158] Fault Analysis Module S21: Polls the background fault message at fixed time intervals to extract alarm information of bypass module and black module. Classifies and statistically analyzes each valve hall black module and bypass module according to fault phenomenon and fault cause. Combines the alarm content to extract the fault characteristics corresponding to the fault code and generates a fault analysis message for the fault module with "valve tower status at fault + fault cause + fault result".

[0159] When the MMC converter valve submodule changes from a normal state to a black module or bypass module due to a fault, a fault message will be generated. Taking the time when the fault message is generated as the time origin, all fault status messages within a certain time period before and after the time origin are obtained (which can be set to push 5 minutes before the time origin and 5 minutes after the time origin). The fault analysis module S21 performs fault analysis to obtain the analysis results.

[0160] in:

[0161] Valve tower status during malfunction: charging, unlocked;

[0162] Fault causes: Sampling verification fault, capacitor fault, downlink communication jitter, drive protection alarm, frequent IGBT switching, uplink channel interruption fault, uplink channel frame loss anomaly, downlink channel interruption fault, IGBT1 fault code 1, IGBT1 fault code 2, IGBT2 fault code 1, IGBT2 fault code 2, overvoltage bypass stage I operation, overvoltage bypass stage II operation, overvoltage bypass stage I enable deactivation, uplink channel verification fault, downlink channel verification fault, downlink channel frame loss anomaly, power supply fault, power monitoring alarm, power monitoring alarm, power monitoring alarm, over-temperature fault, undervoltage fault, overvoltage alarm, submodule overvoltage, thyristor fault, switch refusal to close, switch closed, switch erroneous closing, overvoltage hardware protection;

[0163] Fault result: Black module, bypass.

[0164] Anomaly alarm module S30: Generates corresponding alarm and fault information for the converter valve submodule based on the analysis results and provides handling suggestions.

[0165] The system determines the operating status and fault information of the converter valve submodule, distinguishes the severity, generates corresponding abnormal alarms, and assists in formulating corresponding maintenance strategies to achieve intelligent decision-making.

[0166] In this embodiment of the invention, the severity of submodule faults is divided into several levels: minor, severe, and urgent, through the early warning module and the fault analysis module.

[0167] The severity levels are defined as shown in Table 2.

[0168] Table 2 Severity Definitions

[0169]

[0170]

[0171] In this embodiment of the invention, the alarm information of the converter valve submodule includes the valve tower number to which the abnormal submodule belongs, the number of the abnormal submodule, the type and severity of the abnormal alarm; the abnormal fault is divided into three levels according to the severity: minor (Level I), severe (Level II), and fault (Level III). The handling suggestions include maintenance at an appropriate time, requesting immediate maintenance, and emergency stop maintenance.

[0172] This invention also proposes an early warning and fault analysis system for an abnormal submodule of an MMC converter valve;

[0173] In the second preferred embodiment of the present invention, as follows: Figure 2As shown, taking a single valve chamber in a converter station as an example, the MMC converter valve anomaly submodule early warning and fault analysis system for each valve chamber includes one converter valve monitoring device and one intelligent monitoring platform. The converter valve monitoring device receives submodule temperature, voltage information, and operating condition messages from the 12 converter valve towers in one valve chamber; the intelligent monitoring platform receives converter valve operating data and performs anomaly early warning, fault analysis, and anomaly alarms.

[0174] In this embodiment of the invention, the submodule temperature and valve hall operating status reports of the 12 sets of converter valve towers are sent to the intelligent monitoring platform through the valve hall converter valve monitoring device. The intelligent monitoring platform performs online monitoring of the valve hall temperature using the aforementioned MMC converter valve abnormal submodule early warning and fault analysis method; generates abnormal fault alarm information for the converter valve submodule and provides handling suggestions. The determination of fault severity, generation of alarm information, and provision of handling suggestions are all completed within the intelligent monitoring platform.

[0175] Example 3

[0176] This invention also provides another computer device, including a processor and a memory configured to store a computer program capable of running on the processor; wherein, when the processor is configured to run the computer program, it performs the method steps described in the foregoing embodiments.

[0177] In practical applications, the aforementioned processor includes a Field-Programmable Gate Array (FPGA), and the processor can be a Central Processing Unit (CPU) or a Digital Signal Processor (DSP). It is understood that for different devices, the electronic devices used to implement the functions of the aforementioned processor can also be other types, and this embodiment of the invention does not impose specific limitations.

[0178] The aforementioned memory can be volatile memory, such as random-access memory (RAM); or non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); or a combination of the above types of memory, and provides instructions and data to the processor.

[0179] Example 4

[0180] In an exemplary embodiment, the present invention also provides a computer-readable storage medium for storing a computer program.

[0181] Optionally, the computer-readable storage medium can be applied to any of the methods in the embodiments of the present invention, and the computer program causes the computer to execute the corresponding processes implemented by the processor in the various methods of the embodiments of the present invention. For the sake of brevity, these will not be described in detail here.

[0182] In the several embodiments provided by this invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0183] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0184] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0185] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0186] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0187] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0188] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for early warning and fault analysis of an abnormal submodule of an MMC converter valve, characterized in that: include, The system acquires temperature and voltage data of the MMC converter valve submodule, and issues an alarm when the MMC converter valve submodule is in an abnormal state based on the temperature and voltage data. It also acquires fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module, and obtains fault analysis results based on the fault status messages.

2. The method as described in claim 1, characterized in that: Acquire temperature and voltage data from the MMC converter valve submodule. Based on the temperature and voltage data, determine when the submodule is in an abnormal state and trigger an alarm, including: Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower; Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit. Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

3. The method as described in claim 2, characterized in that: Based on the temperature data from each MMC converter valve submodule, extreme temperature exceeding the limit is determined, including... Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value. If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

4. The method as described in claim 2, characterized in that: Based on the temperature data from each MMC converter valve submodule, a relative temperature exceeding the limit is determined, including: The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively. For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences. If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

5. The method as described in claim 2, characterized in that: Based on the voltage data from each MMC converter valve submodule, determine if the extreme voltage exceeds the limit, including: Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value. If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

6. The method as described in claim 2, characterized in that: Based on the voltage data from each MMC converter valve submodule, a relative voltage out-of-bounds determination is made, including: The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively. For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences. If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

7. The method as described in claim 1, characterized in that: The alarm function also includes detecting abnormal status of the MMC converter valve submodule. When the MMC converter valve submodule is found to be abnormal, an alarm is triggered after confirming that the converter MMC is in the unlocked state and the MMC converter valve submodule is in a non-faulty state.

8. The method as described in claim 1, characterized in that: Obtain fault status messages for the time period before and after the MMC converter valve submodule becomes a black module or bypass module, and obtain fault analysis results based on the fault status messages, including: Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module; Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment. Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at the time of fault + fault cause + fault result".

9. A pre-warning and fault analysis system for an abnormal submodule of an MMC converter valve, characterized in that: include, The first acquisition module is configured to acquire temperature and voltage data from the MMC converter valve submodule. The early warning module is configured to issue an alarm when the MMC converter valve submodule is in an abnormal state, based on the temperature data and the voltage data. The second acquisition module is configured to acquire fault status messages for the time period before and after the moment when the MMC converter valve submodule becomes a black module or a bypass module. as well as, The fault analysis module is configured to obtain fault analysis results based on the fault status message.

10. The system as described in claim 9, characterized in that: The first acquisition module obtains temperature and voltage data from the MMC converter valve submodule, including: Taking each valve tower of the MMC converter valve as a unit, obtain the temperature data and voltage data of each MMC converter valve submodule in each valve tower; The early warning module, based on the temperature and voltage data, determines when the MMC converter valve submodule is in an abnormal state and issues an alarm, including: Based on the temperature data from each MMC converter valve submodule, an extreme temperature exceedance alarm is triggered when the extreme temperature exceeds the limit; a relative temperature exceedance alarm is triggered when the relative temperature exceeds the limit. Based on the voltage data of each MMC converter valve submodule, an extreme voltage over-limit alarm is triggered when the extreme voltage exceeds the limit; a relative voltage over-limit alarm is triggered when the relative voltage exceeds the limit.

11. The system as described in claim 10, characterized in that: Based on the temperature data from each MMC converter valve submodule, extreme temperature exceeding the limit is determined, including... Based on the temperature data of each MMC converter valve submodule, the judgment results of the first condition and the second condition are obtained; wherein, the first condition includes that the temperature value of all MMC converter valve submodules in the valve tower does not exceed the maximum temperature margin and is not less than the minimum temperature margin; the second condition includes that the difference between the extreme temperature of the MMC converter valve submodules in the valve tower and the average temperature of the MMC converter valve submodules in the valve tower does not exceed the first maximum deviation value. If neither the first nor the second condition is met, the extreme temperature is determined to be out of bounds.

12. The system as described in claim 10, characterized in that: Based on the temperature data from each MMC converter valve submodule, a relative temperature exceeding the limit is determined, including: The temperature data of each MMC converter valve submodule in the valve tower is acquired N times consecutively. For each temperature data obtained, the difference between the extreme temperature and the average temperature of the MMC converter valve submodule in the valve tower is obtained, resulting in N differences. If all N differences exceed the second maximum deviation value, the relative temperature is determined to be out of bounds.

13. The system as described in claim 10, characterized in that: Based on the voltage data from each MMC converter valve submodule, determine if the extreme voltage exceeds the limit, including: Based on the voltage data of each MMC converter valve submodule, the judgment results of the third and fourth conditions are obtained; wherein, the third condition includes that the voltage value of all MMC converter valve submodules in the valve tower does not exceed the maximum voltage margin and is not less than the minimum voltage margin; the fourth condition includes that the difference between the extreme voltage of the MMC converter valve submodule in the valve tower and the average voltage of the MMC converter valve submodule in the valve tower does not exceed the third maximum deviation value. If neither the third nor the fourth condition is met, the extreme voltage is determined to be out of bounds.

14. The system as described in claim 10, characterized in that: Based on the voltage data from each MMC converter valve submodule, a relative voltage out-of-bounds determination is made, including: The voltage data of each MMC converter valve submodule in the valve tower is acquired M times consecutively. For each voltage data acquired, the difference between the extreme voltage of the MMC converter valve submodule and the average voltage of the MMC converter valve submodule in the valve tower is obtained, resulting in M ​​differences. If all M differences exceed the fourth maximum deviation value, then the relative voltage is determined to be out of bounds.

15. The system as described in claim 9, characterized in that: The early warning module issues an alarm when it detects an abnormal state in the MMC converter valve submodule, and also includes: When the MMC converter valve submodule is found to be in an abnormal state, an alarm is triggered after confirming that the converter is in an unlocked state and the MMC converter valve submodule is in a non-faulty state.

16. The system as described in claim 9, characterized in that: The second acquisition module obtains fault status messages for the time period before and after the moment when the MMC converter valve submodule becomes a black module or bypass module, including: Periodically acquire fault status messages from each valve tower regarding whether the MMC converter valve submodule has become a black module or a bypass module; Based on the fault status message, extract the moment when the MMC converter valve submodule becomes a bypass module or a black module, and obtain all fault status messages for the time period before and after that moment. The fault analysis module obtains the fault analysis results based on the fault status message. include, Each black module and bypass module is classified and statistically analyzed according to its fault phenomenon and fault cause. The fault characteristics corresponding to the fault code are extracted by combining the alarm content, and the fault analysis results are obtained in the form of "valve tower status at the time of fault + fault cause + fault result".

17. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor; characterized in that: When the processor executes the computer program, it implements the steps of the MMC converter valve abnormality submodule early warning and fault analysis method as described in any one of claims 1 to 8.

18. A computer-readable storage medium storing a computer program; characterized in that: When the computer program is executed by the processor, it implements the steps of the MMC converter valve abnormality submodule early warning and fault analysis method as described in any one of claims 1 to 8.

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