CN114720792A - Method, medium and system for estimating health degree of converter valve - Google Patents

Method, medium and system for estimating health degree of converter valve Download PDF

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Publication number
CN114720792A
CN114720792A CN202111631980.1A CN202111631980A CN114720792A CN 114720792 A CN114720792 A CN 114720792A CN 202111631980 A CN202111631980 A CN 202111631980A CN 114720792 A CN114720792 A CN 114720792A
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data
monitoring data
converter valve
estimating
health
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Inventor
赵欣洋
刘志远
林志光
史磊
黎炜
于晓军
秦骏达
韦鹏
叶涛
陆洪建
刘近
宋林伟
刘钊
柴斌
刘若鹏
杨晨
尹琦云
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Global Energy Interconnection Research Institute
State Grid Ningxia Electric Power Co Ltd
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Global Energy Interconnection Research Institute
State Grid Ningxia Electric Power Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

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Abstract

The invention discloses a method for estimating the health degree of a converter valve, which comprises the following steps: acquiring monitoring data of a converter valve; and estimating the health degree of the converter valve according to the size relation between the monitoring data and the protection data and the rated data. The embodiment of the invention designs different judgment logics and adopts multidimensional data to estimate the health degree of the converter valve, has higher efficiency, and is favorable for finding potential abnormality of the converter valve in time so as to prevent the potential abnormality.

Description

Method, medium and system for estimating health degree of converter valve
Technical Field
The invention relates to the technical field of converter valves, in particular to a method, medium and system for estimating the health degree of a converter valve.
Background
The converter valve is an extra-high voltage direct current transmission core device, and the failure of the converter valve not only can cause the shutdown of direct current transmission, but also causes serious economic loss and even serious safety accidents. If the temperature, the pressure, the abnormal discharge and the working state of the key component of the converter valve can be effectively monitored, the holographic sensing, the health state assessment and the intelligent diagnosis technology of the converter valve are combined, the potential safety hazard of equipment can be timely found and timely eliminated, the running reliability of the converter valve can be effectively improved, the operation and maintenance cost is saved, the unnecessary economic loss is reduced, and the safety accident is avoided.
At present, the logic judgment can only be carried out on whether the converter valve is in a normal state at home and abroad, the health state of the converter valve cannot be judged, and the expected service life and the maintenance and replacement plan of key parts of the converter valve cannot be predicted. The operation and maintenance of the converter valve are important technical means for ensuring the safety and the reliability of the converter valve. In addition, in the process of transporting and detecting the converter valve, workers do not estimate and analyze the health state of the valve, a lot of work is the reason analysis and treatment after the problem occurs, and a clear target and a corresponding means are not provided for maintaining and repairing equipment.
Disclosure of Invention
The embodiment of the invention provides a method, a medium and a system for estimating the health degree of a converter valve, and aims to solve the problem that the health state of the converter valve cannot be judged in the prior art.
In a first aspect, a method for estimating the health degree of a converter valve is provided, which includes:
acquiring monitoring data of a converter valve;
and estimating the health degree of the converter valve according to the size relation between the monitoring data and the protection data and the rated data.
In a second aspect, a computer-readable storage medium having computer program instructions stored thereon is provided; the computer program instructions, when executed by a processor, implement a method of estimating the health of a converter valve as described in the embodiments of the first aspect above.
In a third aspect, a system for estimating the health of a converter valve is provided, including: a computer readable storage medium as described in the second aspect of the embodiments above.
Therefore, the embodiment of the invention designs different judgment logics to estimate the health degree of the converter valve by adopting the multidimensional data, has higher efficiency, and is beneficial to finding out potential abnormality of the converter valve in time so as to prevent the potential abnormality.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart of a method of estimating the degree of health of a converter valve according to embodiment 1 of the present invention;
fig. 2 is a flowchart of a method of estimating the degree of health of a converter valve according to embodiment 2 of the present invention;
fig. 3 is a flowchart of a method for estimating the health of a converter valve according to embodiment 3 of the present invention;
fig. 4 is a flowchart of a method for estimating the health of a converter valve according to embodiment 4 of the present invention;
fig. 5 is a flowchart of a method for estimating the health of a converter valve according to embodiment 5 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment 1 of the invention discloses a method for estimating the health degree of a converter valve. The converter valves are typically dc converter valves. As shown in fig. 1, the method comprises the steps of:
step S101: and acquiring monitoring data of the converter valve.
The type of the monitoring data can be selected according to actual conditions. For example, the types of monitoring data include: voltage signal, current signal, power signal, temperature signal, humidity signal, abnormal discharge signal. The monitoring data may be within a preset time period.
Step S102: and estimating the health degree of the converter valve according to the size relationship between the monitoring data and the protection data and the rated data.
The protection data can be obtained through presetting, and the data represents the data when the protection device of the extra-high voltage direct current transmission acts. The rated data is preset normal data.
The kind of the protection data and the rated data is the same as that of the monitoring data. The comparison of the magnitude relationship is performed by comparing the same kind of data.
For example, the types of the protection data also include a voltage signal, a current signal, a power signal, a temperature signal, a humidity signal, and an abnormal discharge signal. The types of the rated data also include a voltage signal, a current signal, a power signal, a temperature signal, a humidity signal, and an abnormal discharge signal.
In the embodiment 1 of the invention, the health degree of the converter valve can be estimated by monitoring the relationship between the data and the protection data and the rated data.
Example 2
The embodiment 2 of the invention discloses a method for estimating the health degree of a converter valve. The converter valves are typically dc converter valves. As shown in fig. 2, the method comprises the steps of:
step S201: and collecting real-time monitoring data of the converter valve.
The type of the real-time monitoring data can be selected according to actual conditions. For example, the categories of real-time monitoring data may include: voltage signal, current signal, power signal, temperature signal, humidity signal, abnormal discharge signal. The real-time monitoring data may be collected by corresponding sensors, for example, different kinds of structured real-time monitoring data may be collected by a voltage sensor, a current sensor, a temperature sensor, a humidity sensor, etc., and the real-time monitoring data may be collected at preset time intervals and may be collected within a preset time range. The data directly collected by the processor are primary data, the primary data can be subjected to normalization processing, and the primary normalization processing comprises filtering, noise elimination, fixed time interval extraction and the like, so that the processed real-time monitoring data is more convenient for application of subsequent steps.
In some cases, the real-time monitoring data also includes semi-structured data. These semi-structured data are obtained from audio, video and photo capture devices and the like. The semi-structured data can be subjected to unified adjustment of definition, brightness and chroma to generate normalized semi-structured data. The semi-structured data may be used in subsequent steps with the structured data described above, or may be used separately in subsequent steps.
Data processing and classification can enable the data to be more standardized, the efficiency to be higher and the stability to be better.
And S202, if the real-time monitoring data is closer to the protection data, estimating that the health degree of the converter valve is low.
Step S203: and if the real-time monitoring data is closer to the rated data, the health degree of the converter valve is estimated to be high.
For step S202 and step S203, the same kind of real-time monitoring data is compared with the protection data and the rated data.
In addition, the static health margin data corresponding to each real-time monitoring data can be further output according to the static margin data of the real-time monitoring data between the protection data and the rated data.
According to the embodiment 2 of the invention, the health degree of the converter valve can be estimated according to the proximity degree of the real-time monitoring data to the protection data and the rated data respectively.
Example 3
The embodiment 3 of the invention discloses a method for estimating the health degree of a converter valve. The converter valves are typically dc converter valves. As shown in fig. 3, the method comprises the steps of:
step S301: and collecting real-time monitoring data of the converter valve.
The step is the same as step S201, and is not described herein again.
Step S302, counting a first amount of the real-time monitoring data exceeding the range defined by the protection data and the rated data.
Similarly, during the statistics, the same kind of real-time monitoring data, the protection data and the rated data are also subjected to statistics.
Specifically, the first quantity is counted by using the following calculation formula:
D＝count[(Si-Bi)|(Ei-Si)]。
wherein D represents a first number, SiRepresents the ith real-time monitoring data, BiRepresenting protection data corresponding to the ith real-time monitoring data, EiRepresents rated data corresponding to the ith real-time monitoring data, and the vertical line represents the equation of SiAnd BiDifference sum of (E)iAnd SiIf one of the differences is not satisfied, namely the real-time monitoring data exceeds the range limited by the protection data and the rated data, counting once.
Step S303: and calculating a first ratio of the first quantity to the total quantity of all real-time monitoring data.
The calculation of the occupation ratio is also of the same kind. All the real-time monitoring data are all the real-time monitoring data collected within a first preset time range.
Step S304: and estimating a first health grade of the converter valve according to the first ratio.
The first health level may be predetermined. For example, a first health rating may be classified as healthy, mildly unhealthy, and severely unhealthy. Each first health level corresponds to a range of values. And estimating a first health grade according to the numerical range of the first ratio.
Specifically, the first health level is estimated by using the following calculation formula:
Figure BDA0003440517770000051
wherein, J1Is a first health class, D1Is a first ratio. J. the design is a square12 corresponds to severe unhealthy condition, J11 corresponds to mild unhealthy, J10 corresponds to healthy.
Embodiment 3 of the present invention can determine the corresponding health degree by the ratio of the real-time monitoring data that is out of the range defined by the protection data and the rated data.
Example 4
The embodiment 4 of the invention discloses a method for estimating the health degree of a converter valve. The converter valves are typically dc converter valves. As shown in fig. 4, the method comprises the following steps:
step S401: historical monitoring data of a first preset number of converter valves is obtained.
The historical monitoring data is the same as the real-time monitoring data, and reference may be made to the description of embodiment 2 for details, which are not repeated herein. Except that the historical monitoring data was previously collected and stored. For example, the first preset number is 100.
Step S402: a real-time monitoring data of the converter valve is collected.
This step is the same as step S201, and is not described herein again. The real-time monitoring data is typically the current value.
It should be understood that the interval between the acquisition of adjacent data is the same whether historical monitoring data or real-time monitoring data. The latter data of the last data of the acquired historical monitoring data may be just the real-time monitoring data.
And S403, performing data fitting by using a first preset amount of historical monitoring data and real-time monitoring data to generate a short-term health estimation model.
The data fitting mode can be a linear fitting mode, and can also be other machine learning algorithms.
Specifically, the short-term health estimation model according to an embodiment of the present invention is as follows:
Figure BDA0003440517770000061
wherein SS0For monitoring data in real time, AiThe short-term prediction coefficient for the ith preset, SS, can be determined empiricallyiFor the ith historical monitoring data, SS for the predicted short-term monitoring data, k1Is a first predetermined number.
Furthermore, the newly acquired real-time monitoring data can be continuously utilized to check and correct the short-term health estimation model so as to correct the short-term health estimation model in real time, so that iteration of the model is realized, and more accurate numerical values can be output; the checking is mainly to determine whether the data is full by comparing the total amount with the data length set by the data head; the correction is mainly to obtain a missing data by averaging the previous data and the next data.
Step S404: and estimating short-term monitoring data of the converter valve by adopting a short-term health model.
And predicting future short-term monitoring data by using the short-term health prediction data model.
Step S405: and counting a second amount of short-term monitoring data which exceeds the range defined by the protection data and the rated data.
Similarly, in the case of statistics, the short-term monitoring data of the same kind is also counted together with the protection data and the rating data.
Step S406: a second ratio of the second quantity to the total quantity of all short-term monitored data is calculated.
The calculation of the occupation ratio is also of the same kind. And all the short-term monitoring data are all the short-term monitoring data within a second preset time length range in the future output by the short-term health estimation data model. In general, the second predetermined duration may be determined by a time span of the real-time monitoring data involved in the estimation, that is, a time interval between the first real-time monitoring data and the last real-time monitoring data involved in the estimation is the second predetermined duration.
Step S407: and estimating a second health grade of the converter valve according to the second ratio.
The second health level may be predetermined. For example, the second health rating may be classified as healthy, mildly unhealthy, and severely unhealthy. Each second health level corresponds to a range of values. And estimating a second health grade according to the numerical range of the second ratio.
Specifically, the second health level is estimated by using the following calculation formula:
Figure BDA0003440517770000071
wherein, J2Is a second health grade, D2Is the second ratio. J. the design is a square22 corresponds to severe unhealthy condition, J21 corresponds to mild unhealthy, J20 corresponds to healthy.
In embodiment 4 of the invention, a fitted mathematical model can be established through a certain amount of historical monitoring data and real-time monitoring data to estimate the data, and the estimated data is used for evaluating the health level.
Example 5
The embodiment 5 of the invention discloses a method for estimating the health degree of a converter valve. The converter valves are typically dc converter valves. As shown in fig. 5, the method comprises the steps of:
step S501: and acquiring historical monitoring data of a second preset number of converter valves.
The historical monitoring data is the same as the real-time monitoring data, and reference may be made to the description of embodiment 2 for details, which are not repeated herein. Except that the historical monitoring data was previously collected and stored. The second predetermined number should be greater than the first predetermined number, for example, the second predetermined number is 1000.
Step S502: a real-time monitoring data of the converter valve is collected.
This step is the same as step S201, and is not described herein again. The real-time monitoring data is typically the current value.
It should be understood that the interval between the acquisition of adjacent data is the same whether historical monitoring data or real-time monitoring data. The latter data of the last data of the acquired historical monitoring data may be just the real-time monitoring data.
And S503, performing data fitting by using a second preset amount of historical monitoring data and real-time monitoring data to generate a long-term health estimation model.
The data fitting mode can be a linear fitting mode, and can also be other machine learning algorithms.
Specifically, the long-term health estimation model according to an embodiment of the present invention is as follows:
Figure BDA0003440517770000081
wherein SS0For monitoring data in real time, BiFor the ith predetermined long-term prediction coefficient, determined empirically, SSiFor the ith historical monitoring data, SL is the predicted long-term monitoring data, k2Is a second predetermined number.
Step S504: and estimating long-term monitoring data of the converter valve by adopting a long-term health estimation model.
Further, future long-term monitoring data obtained through the long-term health estimation model estimation are used as iterative prediction data, the earliest historical monitoring data are deleted, the iterative prediction data are used for replacing the earliest historical monitoring data, new prediction is carried out through the long-term health estimation model, and the like, and the newly predicted long-term monitoring data continuously iterate the still-existing earliest historical monitoring data. After the iteration is repeated for the preset number of times, the preset number of long-term monitoring data can be generated and stored. The preset number may be determined according to actual requirements, for example, the preset number may be 5000, and 5000 pieces of long-term monitoring data, that is, iterative prediction data, may be generated.
Step S505: and counting a third amount of the long-term monitoring data exceeding the range defined by the protection data and the rated data.
Similarly, in the case of statistics, the same kind of long-term monitoring data is also counted with the protection data and the rating data.
Step S506: and calculating a third ratio of the third quantity to the total quantity of all long-term monitoring data.
The calculation of the occupation ratio is also of the same kind. All the long-term monitoring data are all the long-term monitoring data of a preset quantity output by the long-term health estimation data model.
Step S507: and estimating a third health grade of the converter valve according to the third ratio.
The third health level may be predetermined. For example, the third health rating may be classified as healthy, mildly unhealthy, and severely unhealthy. Each third health level corresponds to a range of values. And estimating a third health grade according to the numerical range of the third ratio.
Specifically, the third health level is estimated by using the following calculation formula:
Figure BDA0003440517770000091
wherein, J3For a third health class of the converter valves, D3Is the third ratio. J. the design is a square32 corresponds to severe unhealthy condition, J31 corresponds to mild unhealthy, J30 corresponds to healthy.
The above-mentioned numerical range divisions of the first health level, the second health level and the third health level may be identical or different.
In embodiment 5 of the present invention, a fitted mathematical model may be established by using a certain amount of historical monitoring data and real-time monitoring data to estimate data, and the estimated data replaces the earliest historical monitoring data to perform continuous iterative estimation on the next estimated data, and finally all data are obtained by estimation, and the estimated data is used to evaluate the health level.
Example 6
The embodiment 6 of the invention discloses a computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium; the computer program instructions, when executed by a processor, implement the method for estimating the health of a converter valve as described in the above embodiments.
Example 7
The embodiment 7 of the invention discloses a health degree estimation system of a converter valve, which comprises the following steps: a computer readable storage medium as in the above embodiments.
The system in embodiment 7 may sort the data exceeding the range defined by the protection data and the rated data in embodiments 3 to 5 according to the preset health level of the data, generate a view of the health state of the converter valve, and store the ratio exceeding the defined range as a comprehensive health level table of the converter valve.
In summary, the embodiment of the invention designs different judgment logics to estimate the health degree of the converter valve by adopting multidimensional data, has higher efficiency, and is beneficial to finding out potential abnormality of the converter valve in time so as to prevent the potential abnormality.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method for estimating the health degree of a converter valve is characterized by comprising the following steps:
acquiring monitoring data of a converter valve;
and estimating the health degree of the converter valve according to the size relationship between the monitoring data and the protection data and the rated data.
2. The method for estimating the health degree of the converter valves according to claim 1, wherein the step of acquiring the monitoring data of the converter valves comprises the following steps:
and collecting real-time monitoring data of the converter valve.
3. The method for estimating the health degree of the converter valve according to claim 2, wherein the step of estimating the health degree of the converter valve according to the magnitude relation between the monitoring data and the protection data and the rated data comprises the following steps:
if the real-time monitoring data is closer to the protection data, estimating that the health degree of the converter valve is low;
and if the real-time monitoring data is closer to the rated data, estimating that the health degree of the converter valve is high.
4. The method for estimating the health degree of the converter valve according to claim 2, wherein the step of estimating the health degree of the converter valve according to the magnitude relation between the monitored data and the protection data and the rated data comprises the following steps:
counting a first amount of the real-time monitoring data exceeding a range defined by the protection data and the rated data;
calculating a first ratio of the first quantity to the total quantity of all the real-time monitoring data;
and estimating a first health grade of the converter valve according to the first ratio.
5. The method for estimating the health degree of the converter valves according to claim 1, wherein the step of acquiring the monitoring data of the converter valves comprises:
acquiring historical monitoring data of a first preset number of converter valves;
collecting real-time monitoring data of the converter valve;
performing data fitting by adopting a first preset amount of the historical monitoring data and the real-time monitoring data to generate a short-term health estimation model;
estimating short-term monitoring data of the converter valve by adopting the short-term health estimation model;
the short-term health estimation model comprises the following steps:
Figure FDA0003440517760000021
wherein SS0For the real-time monitoring data, AiFor the ith preset short-term prediction coefficient, SSiFor the ith historical monitoring data, SS for the predicted short-term monitoring data, k1Is the first preset number.
6. The method for estimating the health degree of the converter valve according to claim 5, wherein the step of estimating the health degree of the converter valve according to the magnitude relation between the monitoring data and the protection data and the rated data comprises the following steps:
counting a second amount by which the short-term monitoring data exceeds a range defined by the protection data and the rated data;
calculating a second ratio of the second quantity to the total quantity of all the short-term monitoring data;
and estimating a second health grade of the converter valve according to the second ratio.
7. The method for estimating the health degree of the converter valves according to claim 1, wherein the step of acquiring the monitoring data of the converter valves comprises the following steps:
acquiring historical monitoring data of a second preset number of converter valves;
collecting real-time monitoring data of the converter valve;
performing data fitting by adopting a second preset amount of the historical monitoring data and the real-time monitoring data to generate a long-term health estimation model;
estimating long-term monitoring data of the converter valve by adopting the long-term health estimation model;
the long-term health estimation model comprises the following steps:
Figure FDA0003440517760000022
wherein SS0For the real-time monitoring data, BiFor the ith predetermined long-term prediction coefficient, SSiFor the ith historical monitoring data, SL is the predicted long-term monitoring data, k2Is the second predetermined number.
8. The method for estimating the health degree of the converter valve according to claim 7, wherein: the step of estimating the health degree of the converter valve according to the magnitude relation between the monitoring data and the protection data and the rated data comprises the following steps:
counting a third amount that the long-term monitoring data exceeds a range defined by the protection data and the rated data;
calculating a third ratio of the third quantity to the total quantity of all the long-term monitoring data;
and estimating the health grade of the converter valve according to the third ratio.
9. A computer-readable storage medium characterized by: the computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method for estimating the health of a converter valve according to any of claims 1-8.
10. A system for estimating the health of a converter valve, comprising: the computer-readable storage medium of claim 9.
CN202111631980.1A 2021-10-20 2021-12-28 Method, medium and system for estimating health degree of converter valve Pending CN114720792A (en)

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CN202111222789 2021-10-20

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