CN215768834U - Fault diagnosis system for direct-current high-voltage transmission line - Google Patents
Fault diagnosis system for direct-current high-voltage transmission line Download PDFInfo
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- CN215768834U CN215768834U CN202122120951.0U CN202122120951U CN215768834U CN 215768834 U CN215768834 U CN 215768834U CN 202122120951 U CN202122120951 U CN 202122120951U CN 215768834 U CN215768834 U CN 215768834U
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The utility model belongs to the technical field of fault diagnosis of direct-current high-voltage transmission lines, and particularly relates to a fault diagnosis system of a direct-current high-voltage transmission line, which comprises the following components: the system comprises a data acquisition module, a data processing module, a diagnosis module, a result confirmation module and a result storage module, wherein the data acquisition module is used for acquiring real-time fault data by establishing a data interface with an application system where a required data source is located; the data processing module is connected with the data acquisition module and is used for processing the fault real-time data into a format identical to historical characteristic data; the diagnosis module is connected with the data processing module and used for inputting the real-time characteristic data into the classification model to obtain a prediction result and integrating the result output by the model to judge the fault type; the problems of low fault identification rate, difficult threshold setting and the like of the traditional protection method are solved by utilizing a big data processing technology, and the identification rate and the diagnosis efficiency of fault diagnosis are improved.
Description
Technical Field
The utility model relates to the technical field of fault diagnosis of direct-current high-voltage transmission lines, in particular to a fault diagnosis system of a direct-current high-voltage transmission line.
Background
At present, traveling wave protection is configured for main protection of a high-voltage direct-current transmission line, and low-voltage protection and line differential protection are backup protection. The line traveling wave protection and the low voltage protection which take the voltage change rate as the action criterion are difficult to detect the high resistance earth fault of the line when the voltage change rate of the high resistance earth fault cannot reach a fixed value or the rising edge width of the voltage change rate is insufficient, the line differential protection needs to be locked to avoid the external fault to cause longer time delay, so that the backup effect is difficult to play, and the traditional high-voltage direct-current transmission line fault identification method has low accuracy and difficult identification of the far-end high resistance fault.
SUMMERY OF THE UTILITY MODEL
This section is for the purpose of summarizing some aspects of embodiments of the utility model and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the abstract of the specification and the title of the application to avoid obscuring the purpose of this section, the abstract of the specification and the title of the application, and such simplifications or omissions are not intended to limit the scope of the utility model.
The present invention has been made in view of the above and/or problems occurring in the conventional fault diagnosis.
Therefore, the utility model aims to provide a fault diagnosis system for a direct-current high-voltage transmission line, which can introduce a data mining technology into HVDC transmission line fault identification and solve the problems of low fault identification rate, difficult threshold setting and the like existing in the traditional protection method by utilizing a big data processing technology.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a fault diagnosis system for a direct-current high-voltage transmission line comprises:
the data acquisition module is used for acquiring real-time fault data by establishing a data interface with an application system where a required data source is located;
the data processing module is connected with the data acquisition module and is used for processing the fault real-time data into a format identical to historical characteristic data;
the diagnosis module is connected with the data processing module and used for inputting the real-time characteristic data into the classification model to obtain a prediction result and integrating the result output by the model to judge the fault type;
the result confirmation module is connected with the diagnosis module and used for detecting and judging the classification correctness according to the classification result after the fault type is determined;
and the result storage module is connected with the result confirmation module and used for keeping the data of the current identification type and the actual fault type after the fault type result is confirmed, and using the expanded data to retrain the fault type model as a part of historical data.
As an optimal scheme of the fault diagnosis system for the direct-current high-voltage transmission line, the utility model comprises the following steps: in the diagnosis module, the classification model adopts a high-voltage direct-current transmission line simulation model.
As an optimal scheme of the fault diagnosis system for the direct-current high-voltage transmission line, the utility model comprises the following steps: in the data processing module, each dimension attribute corresponds to a historical characteristic data set.
As an optimal scheme of the fault diagnosis system for the direct-current high-voltage transmission line, the utility model comprises the following steps: the data acquisition module acquires available historical fault data from a historical database.
Compared with the prior art: the utility model solves the problems of low fault identification rate, difficult threshold setting and the like of the traditional protection method by utilizing a big data processing technology, and improves the identification rate and the diagnosis efficiency of fault diagnosis.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, 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 to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the algorithm flow structure of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The utility model provides a fault diagnosis system for a direct-current high-voltage transmission line, which can solve the problems of low fault identification rate, difficult threshold setting and the like existing in the traditional protection method by utilizing a big data processing technology and improve the identification rate and the diagnosis efficiency of fault diagnosis, and please refer to fig. 1-2, and the fault diagnosis system comprises the following steps: the device comprises a data acquisition module, a data processing module, a diagnosis module, a result confirmation module and a result storage module;
the data acquisition module is used for acquiring real-time fault data by establishing a data interface with an application system where a required data source is located, wherein the data comprises the real-time data and available historical fault data.
The data processing module is connected with the data acquisition module and used for processing the fault real-time data into the format same as the historical characteristic data, and all dimensional attributes of the data processing module correspond to the historical characteristic data set so as to facilitate data transmission.
The diagnosis module is connected with the data processing module and used for inputting the real-time characteristic data into the classification model to obtain a prediction result, judging the fault type by integrating the result output by the model, obtaining the prediction result after the real-time characteristic data is input into the classification model, and judging the fault type by integrating the result of each model, wherein the meaning of the result output by each model is the classification result of the fault.
The result confirmation module is connected with the diagnosis module and used for detecting and judging the classification correctness according to the classification result after the fault type is determined;
and the result storage module is connected with the result confirmation module and used for keeping the data of the current identification type and the actual fault type after the fault type result is confirmed as a part of historical data, using the expanded data to retrain the fault type model, expanding the database and facilitating subsequent diagnosis and use.
The method comprises the steps of establishing a high-voltage direct-current transmission line simulation model by using power system transient simulation software PSCAD/EMTDC, and adopting an HVDC transmission line fault identification algorithm flow based on LDA and LSTM (figure 2) for model operation.
When the method is used specifically, when a line has a fault, the real-time data of the faulted line is input into a data acquisition module, the data in the data acquisition module is transmitted to a data processing module, the real-time data of the fault is processed into a format with the same historical characteristic data, then the data is transmitted to a diagnosis module, the real-time characteristic data is input into a classification model to obtain a prediction result, the result output by a comprehensive model is used for judging the fault type, the output result is transmitted to a result confirmation module, after the fault type is determined, the correctness of classification is detected and judged according to the classification result, then a result storage module is used for keeping the data of the identification type and the actual fault type after the result of the fault type is confirmed, the data is used as a part of the historical data, the retraining of a fault type model is realized by using the expanded data, a database is expanded, and the subsequent diagnosis and use are facilitated.
While the utility model has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the utility model. In particular, the various features of the disclosed embodiments of the utility model may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the utility model not be limited to the particular embodiments disclosed, but that the utility model will include all embodiments falling within the scope of the appended claims.
Claims (4)
1. A fault diagnosis system for a direct-current high-voltage transmission line is characterized by comprising:
the data acquisition module is used for acquiring real-time fault data by establishing a data interface with an application system where a required data source is located;
the data processing module is connected with the data acquisition module and is used for processing the fault real-time data into a format identical to historical characteristic data;
the diagnosis module is connected with the data processing module and used for inputting the real-time characteristic data into the classification model to obtain a prediction result and integrating the result output by the model to judge the fault type;
the result confirmation module is connected with the diagnosis module and used for detecting and judging the classification correctness according to the classification result after the fault type is determined;
and the result storage module is connected with the result confirmation module and used for keeping the data of the current identification type and the actual fault type after the fault type result is confirmed, and using the expanded data to retrain the fault type model as a part of historical data.
2. The system according to claim 1, wherein in the diagnosis module, the classification model is a simulation model of the HVDC transmission line.
3. The system according to claim 1, wherein in the data processing module, each dimension attribute corresponds to a historical feature data set.
4. The system according to claim 1, wherein the data acquisition module is configured to acquire available historical fault data from a historical database.
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| CN202122120951.0U CN215768834U (en) | 2021-09-03 | 2021-09-03 | Fault diagnosis system for direct-current high-voltage transmission line |
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| CN202122120951.0U CN215768834U (en) | 2021-09-03 | 2021-09-03 | Fault diagnosis system for direct-current high-voltage transmission line |
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