CN114201481A - Distribution network fault management system based on distribution transformer reliability - Google Patents
Distribution network fault management system based on distribution transformer reliability Download PDFInfo
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- CN114201481A CN114201481A CN202111510674.2A CN202111510674A CN114201481A CN 114201481 A CN114201481 A CN 114201481A CN 202111510674 A CN202111510674 A CN 202111510674A CN 114201481 A CN114201481 A CN 114201481A
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Abstract
The invention discloses a distribution network fault management system based on distribution transformer reliability, which is used for solving the technical problems of multiple analysis, time consumption and labor consumption caused by the fact that distribution transformer accidents reverse-push maintenance workload is large and distribution transformer groups with correct reasoning results cannot be reused. The invention comprises the following steps: the system comprises an original data collection module, a data processing module, an information data characteristic engineering processing module, an artificial assistant decision processing module and an inspection report processing module; the original data collection module is used for acquiring metering distribution transformation data; the data processing module is used for cleaning the metering distribution transformation data to obtain cleaning data; the information data feature engineering processing module is used for extracting features of the cleaning data to obtain feature data; the artificial assistant decision processing module is used for correcting the characteristic data to obtain corrected data; and the checking report processing module is used for generating a checking processing report according to the correction data.
Description
Technical Field
The invention relates to the technical field of power grid automation, in particular to a power distribution network fault management system based on distribution transformation reliability.
Background
The distribution network is an electric power network which receives electric energy from a transmission network or a regional power plant and distributes the electric energy to various users on site or step by step according to voltage through distribution facilities. The power distribution network consists of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, accessory facilities and the like, and plays a role in distributing electric energy in a power network.
And (4) backward pushing of the distribution transformer accident, namely backward pushing of the upper-stage trip switch by utilizing the measurement distribution transformer voltage loss, so that the power failure fault of the non-automatic switch coverage area is diagnosed through the system. With the application of distribution transformer accident reversal in a wide range of the whole province, automatic personnel need to check the accident reversal result every month, firstly, the automatic personnel need to carry out operations such as distribution transformer change manual comparison, current change checking of an automatic switch, measurement numerical value transmission correctness inquiry and the like by inquiring a plurality of systems such as a distribution network OCS system, a measurement automation system, a distribution network operation management system and the like so as to judge the accuracy of measurement data and the correctness of an inference result. The backward pushing maintenance workload of the distribution transformer accident is very huge, and an automatic screening and automatic discrimination means is urgently needed; secondly, the correct distribution and transformation group of the reasoning result cannot be reused, so that analysis is caused, and time and labor are wasted.
Disclosure of Invention
The invention provides a distribution network fault management system based on distribution transformer reliability, which is used for solving the technical problems of multiple analysis, time consumption and labor consumption caused by the fact that distribution transformer accidents reverse-push maintenance workload is large and distribution transformer groups with correct reasoning results cannot be reused.
The invention provides a distribution network fault management system based on distribution transformation reliability, which comprises:
the system comprises an original data collection module, a data processing module, an information data characteristic engineering processing module, an artificial assistant decision processing module and an inspection report processing module;
the original data collection module is used for acquiring metering distribution transformation data;
the data processing module is used for cleaning the metering distribution transformation data to obtain cleaning data;
the information data feature engineering processing module is used for extracting features of the cleaning data to obtain feature data;
the artificial assistant decision processing module is used for correcting the characteristic data to obtain corrected data;
and the checking report processing module is used for generating a checking processing report according to the correction data.
Optionally, the metering distribution transformer data includes metering distribution transformer power-on information, distribution transformer power-off information and a distribution network line model structure.
Optionally, the data processing module is specifically configured to match the metering distribution transformation data with a preset distribution network single line diagram, determine unmatched data, and delete the unmatched data from the metering distribution transformation data to obtain cleaning data.
Optionally, the data processing module is specifically configured to filter, from the metering distribution transformation data, data that meets a preset rule by using a preset rule base, as cleaning data.
Optionally, the information data feature engineering processing module is further configured to determine a priority of the feature data.
Optionally, the artificial assistant decision processing module is specifically configured to receive a distribution transformation result operation analysis record, and correct the feature data by using the distribution transformation result operation analysis record to obtain corrected data.
The invention also provides a distribution network fault management method based on the distribution transformation reliability, which comprises the following steps:
acquiring metering distribution transformation data;
cleaning the metering distribution transformation data to obtain cleaning data;
performing feature extraction on the cleaning data to obtain feature data;
correcting the characteristic data to obtain corrected data;
and generating an inspection processing report according to the correction data.
The invention also provides an electronic device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the distribution network fault management method based on the distribution transformation reliability according to the instructions in the program codes.
The invention also provides a computer-readable storage medium for storing program code for executing the distribution network fault management method based on the distribution transformer reliability.
According to the technical scheme, the invention has the following advantages: the invention discloses a distribution network fault management system based on distribution transformation reliability, which comprises: the system comprises an original data collection module, a data processing module, an information data characteristic engineering processing module, an artificial assistant decision processing module and an inspection report processing module; the original data collection module is used for acquiring metering distribution transformation data; the data processing module is used for cleaning the metering distribution transformation data to obtain cleaning data; the information data feature engineering processing module is used for extracting features of the cleaning data to obtain feature data; the artificial assistant decision processing module is used for correcting the characteristic data to obtain corrected data; and the checking report processing module is used for generating a checking processing report according to the correction data. Therefore, the technical problems that the distribution transformer accident reverse pushing maintenance workload is large, and the distribution transformer group with correct inference results cannot be reused, so that multiple analysis is caused, and time and labor are wasted are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a block diagram of a power distribution network fault management system based on distribution transformation reliability according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a power distribution network fault management method based on distribution transformation reliability according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a distribution network fault management system based on distribution transformer reliability, which is used for solving the technical problems of multiple analysis, time waste and labor waste caused by the fact that distribution transformer accidents reverse-push maintenance workload is large and distribution transformer groups with correct reasoning results cannot be reused.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, fig. 1 is a block diagram of a power distribution network fault management system based on distribution transformation reliability according to an embodiment of the present invention.
The invention provides a distribution network fault management system 01 based on distribution transformation reliability, which specifically comprises the following steps:
the system comprises a raw data collection module 11, a data processing module 12, an information data characteristic engineering processing module 13, an artificial assistant decision processing module 14 and an inspection report processing module 15;
the original data collection module 11 is configured to obtain metering distribution transformation data;
the data processing module 12 is configured to clean the metering distribution transformation data to obtain cleaning data;
the information data feature engineering processing module 13 is configured to perform feature extraction on the cleaning data to obtain feature data;
the artificial assistant decision processing module 14 is configured to correct the feature data to obtain corrected data;
and the checking report processing module 15 is configured to generate a checking processing report according to the correction data.
In the embodiment of the invention, the distribution transformer is a short name of a distribution transformer, and is a static electric appliance which transmits alternating current energy by converting alternating current voltage and current according to an electromagnetic induction law in a distribution system. Distribution transformers are typically power transformers operating in a distribution network at voltage levels of 10-35KV and capacities of 6300KVA and below for direct power delivery to end users.
And the metering distribution transformer data can comprise a data group formed by metering distribution transformer power-on information, distribution transformer power-off information and a power distribution network line model structure.
The original data collection module 11 can obtain the metering distribution transformer power-on information, the distribution transformer test point information and the distribution network line model structure in real time in a system program interface mode to form a huge data group.
The data processing module 12 can match the metering distribution transformation data and screen data with larger deviation, so as to realize merging and cleaning of the metering distribution transformation data.
In an example, the data processing module 12 is specifically configured to match the metering distribution transformation data with a preset distribution network single line diagram, determine the unmatched data, and delete the unmatched data from the metering distribution transformation data to obtain the cleaning data.
In specific implementation, according to the distribution network line model structure, the real-time relation of the power supply station can be obtained, the data processing module 12 can be matched with the real-time relation of the power supply station through a distribution network single line diagram, the relation of 'transformer substation-power supply station-line-distribution transformer' is established, parts which cannot be matched are automatically sorted, and adjustment in the later maintenance process is facilitated. And taking the data which can be matched as cleaning data.
In another example, the data processing module 12 is specifically configured to filter, from the metering and distribution data, data that meets a preset rule using a preset rule base as cleaning data.
In a specific implementation, the data processing module 12 may screen out data that obviously does not meet the rules through a predefined rule base, such as data that is larger due to incorrect transformation ratio. The method can specifically use common big data processing frames such as Hadoop type, Storm type and Samza type, integrates contrast performance, filtering speed, language support, graphic calculation, interactive query and machine learning, and uses Spark main stream processing frames to realize millisecond-level processing and cleaning of data so as to obtain cleaning data.
The information data feature engineering processing module 13 may be used to screen repetitive data checking rules and data determination methods, batch process the cleaning data "feature engineering", and comb out the mechanical repetitive checking rules and data determination methods in the manual checking process, such as: the method comprises the steps of automatically searching whether distribution transformers lose power or not according to power loss information of automatic switches and all distribution transformers at the later stage, extracting data of about one year, developing abnormal data cleaning and an initial distribution transformer library, adopting calculation of characteristic engineering quantity in automatic machine learning to obtain characteristic data, and grading the characteristic quantity of accident reverse pushing by using common methods such as time stamps, decomposition type attributes and the like, wherein the transformer substation switches are priority 1, the automatic switches which do not generate vibration are priority 2, the automatic switches which generate vibration are priority 3, and a power distribution network operation support platform is priority 4.
"data determines the upper limit of machine learning, and the algorithm only approximates the upper limit as closely as possible", where the data refers to data obtained through feature engineering. The feature engineering refers to a process of converting original data into training data of a model, and aims to obtain better training data features so that a machine learning model approaches the upper limit. The characteristic engineering can improve the performance of the model, and sometimes, a good effect can be obtained even on a simple model.
And the manual assistant decision processing module 14 is used for correcting the characteristic data to obtain corrected data. The characteristic data can be corrected by running, analyzing and recording the distribution transformation result. In the early stage, the availability of the distribution transformer data can be judged by combining the confirmation and the record of the dispatch personnel on the backward pushing result of the distribution transformer accident, so that the unavailable characteristic data can be corrected. And in the later stage, analysis records can be operated on the result of the non-applied distribution transformation by combining with automatic operation and maintenance personnel, and the non-applied data can be further corrected.
The checking report processing module 15 is configured to generate a checking processing report according to the correction data.
Specifically, each distribution transformer can be scored by using an initial distribution transformer library, rules are set, if the standard score is 50, a common competition evaluation method is adopted, if the reasonable inference is that 5 scores are obtained once, no inference is given for 0 score, and the error inference is that-3 scores, each distribution transformer is scored to obtain the credibility, so that the correction data can be further corrected according to the credibility, manual intervention correction can be performed at the early stage to know that a feature library is formed, correction can be performed through autonomous learning at the later stage to achieve automatic correction of the distribution transformer data, and a checking processing report can be generated according to the correction result.
The invention discloses a distribution network fault management system based on distribution transformation reliability, which comprises: the system comprises an original data collection module, a data processing module, an information data characteristic engineering processing module, an artificial assistant decision processing module and an inspection report processing module; the original data collection module is used for acquiring metering distribution transformation data; the data processing module is used for cleaning the metering distribution transformation data to obtain cleaning data; the information data feature engineering processing module is used for extracting features of the cleaning data to obtain feature data; the artificial assistant decision processing module is used for correcting the characteristic data to obtain corrected data; and the checking report processing module is used for generating a checking processing report according to the correction data. Therefore, the technical problems that the distribution transformer accident reverse pushing maintenance workload is large, and the distribution transformer group with correct inference results cannot be reused, so that multiple analysis is caused, and time and labor are wasted are solved.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of a distribution network fault management method based on distribution transformation reliability according to an embodiment of the present invention.
The embodiment of the invention provides a distribution network fault management method based on distribution transformation reliability, which comprises the following steps:
and step 205, generating a checking processing report according to the correction data.
An embodiment of the present invention further provides an electronic device, where the device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the distribution network fault management method based on the distribution transformation reliability according to the instructions in the program codes.
The embodiment of the invention also provides a computer-readable storage medium, which is used for storing a program code, and the program code is used for executing the distribution network fault management method based on the distribution transformation reliability.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. The utility model provides a distribution network fault management system based on change of distribution credibility which characterized in that includes:
the system comprises an original data collection module, a data processing module, an information data characteristic engineering processing module, an artificial assistant decision processing module and an inspection report processing module;
the original data collection module is used for acquiring metering distribution transformation data;
the data processing module is used for cleaning the metering distribution transformation data to obtain cleaning data;
the information data feature engineering processing module is used for extracting features of the cleaning data to obtain feature data;
the artificial assistant decision processing module is used for correcting the characteristic data to obtain corrected data;
and the checking report processing module is used for generating a checking processing report according to the correction data.
2. A distribution transformer reliability-based power distribution network fault management system according to claim 1, wherein the metering distribution transformer data comprises metering distribution transformer power-on information, distribution transformer power-off information and a power distribution network line model structure.
3. The distribution network fault management system based on distribution transformer reliability as claimed in claim 1, wherein the data processing module is specifically configured to match the metering distribution transformer data with a preset distribution network single line diagram, determine unmatched data, and delete the unmatched data from the metering distribution transformer data to obtain cleaning data.
4. The distribution network fault management system based on distribution transformer reliability as claimed in claim 1, wherein the data processing module is specifically configured to use a preset rule base to filter data meeting preset rules from the metering distribution transformer data as cleaning data.
5. A distribution transformer reliability-based power distribution network fault management system according to claim 1, wherein the information data feature engineering processing module is further configured to determine the priority of the feature data.
6. The distribution network fault management system based on distribution transformer reliability as claimed in claim 1, wherein the manual aid decision processing module is specifically configured to receive distribution transformer result operation analysis records, and correct the characteristic data by using the distribution transformer result operation analysis records to obtain corrected data.
7. A distribution network fault management method based on distribution transformer reliability is characterized by comprising the following steps:
acquiring metering distribution transformation data;
cleaning the metering distribution transformation data to obtain cleaning data;
performing feature extraction on the cleaning data to obtain feature data;
correcting the characteristic data to obtain corrected data;
and generating an inspection processing report according to the correction data.
8. An electronic device, comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the distribution transformation reliability-based power distribution network fault management method according to claim 7 according to instructions in the program code.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium is configured to store program code for executing the distribution network fault management method based on distribution transformation reliability of claim 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115187927A (en) * | 2022-07-27 | 2022-10-14 | 上海志远生态园林工程有限公司 | Remote monitoring management method and system for viewing seat |
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- 2021-12-10 CN CN202111510674.2A patent/CN114201481A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115187927A (en) * | 2022-07-27 | 2022-10-14 | 上海志远生态园林工程有限公司 | Remote monitoring management method and system for viewing seat |
| CN115187927B (en) * | 2022-07-27 | 2024-03-26 | 上海志远生态园林工程有限公司 | Remote monitoring and management method and system for sightseeing seat |
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