CN110543954B - Power distribution network fault solving method and power distribution network fault solving device - Google Patents

Power distribution network fault solving method and power distribution network fault solving device Download PDF

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CN110543954B
CN110543954B CN201910840007.7A CN201910840007A CN110543954B CN 110543954 B CN110543954 B CN 110543954B CN 201910840007 A CN201910840007 A CN 201910840007A CN 110543954 B CN110543954 B CN 110543954B
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distribution network
power distribution
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line defect
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CN110543954A (en
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杨金东
王科
刘红文
聂鼎
黄明
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Electric Power Research Institute of Yunnan Power Grid Co Ltd
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Abstract

The application provides a power distribution network fault solving method and a power distribution network fault solving device, wherein the method comprises the following steps: acquiring basic grid frame data, line defect data and environment data of a power distribution network; and determining fault solving suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data. Therefore, the basic grid frame data, the line defect data and the environment data of the power distribution network can be obtained, and then the fault solving suggestion of the power distribution network can be determined according to the basic grid frame data, the line defect data and the environment data of the power distribution network. The key factors causing the line faults can be found in time, and the solving efficiency of the power distribution network faults is improved.

Description

Power distribution network fault solving method and power distribution network fault solving device
Technical Field
The application relates to the technical field of power systems, in particular to a power distribution network fault solving method and a power distribution network fault solving device.
Background
The distribution network consists of overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensation capacitors and a plurality of auxiliary facilities. Failure of the distribution network may be caused by the malfunction of one of the devices or a certain line. Such as single-phase grounding, two-phase shorting, three-phase shorting or phase loss, etc. With the increasing number of electricity consumers, distribution network networks are expanding. Because of the numerous devices included in the power distribution network, the structure is very complex, and it is very difficult to determine the device with the fault among the numerous devices included in the power distribution network, and a great deal of time cost and labor cost are required to determine and solve the fault. Therefore, in the related art, the efficiency of solving the power distribution network fault is low.
Disclosure of Invention
The application provides a power distribution network fault solving method and a power distribution network fault solving device, which are used for solving the problem of lower efficiency of power distribution network faults in the related technology.
In a first aspect, the present invention provides a power distribution network fault resolution method, including:
acquiring basic grid frame data, line defect data and environment data of a power distribution network;
and determining fault solving suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data.
Optionally, before the step of determining the fault resolution advice for the power distribution network according to the power distribution network base grid data, the line defect data and the environmental data, the method further includes:
performing missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and association verification processing on the power distribution network basic network frame data, the line defect data and the environment data to obtain processed power distribution network basic network frame data, processed line defect data and processed environment data;
the determining the fault solution suggestion of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data comprises the following steps:
and determining fault solving suggestions of the power distribution network according to the processed power distribution network basic network frame data, the processed line defect data and the processed environment data.
Optionally, the determining the fault resolution suggestion of the power distribution network according to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data includes:
determining target parameter combinations corresponding to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data;
calculating the influence degree of the processed power distribution network basic net rack data, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network respectively;
sequencing the influence degree of the faults of the power distribution network, which are obtained through calculation, according to the descending order of the influence degree, so as to obtain a sequencing result;
and determining fault resolution suggestions of the power distribution network according to the sequencing result.
Optionally, the power distribution network basic network frame data comprises power distribution network line parameter data and power distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
In a second aspect, the present invention further provides a power distribution network fault resolution device, including:
the acquisition module is used for acquiring basic grid frame data, line defect data and environment data of the power distribution network;
and the determining module is used for determining the fault solution proposal of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data.
Optionally, the power distribution network fault solving device further includes:
the processing module is used for carrying out missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and correlation verification processing on the power distribution network basic network frame data, the line defect data and the environment data to obtain processed power distribution network basic network frame data, processed line defect data and processed environment data;
the determining module is specifically configured to determine a fault resolution suggestion of the power distribution network according to the processed power distribution network base network frame data, the processed line defect data, and the processed environment data.
Optionally, the determining module includes:
the first determining submodule is used for determining target parameter combinations corresponding to the processed power distribution network basic net rack data, the processed line defect data and the processed environment data;
the calculation sub-module is used for respectively calculating the influence degree of the processed power distribution network basic net rack data, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network;
the sequencing sub-module is used for sequencing the calculated influence degrees of the faults of the power distribution network according to the descending order of the influence degrees, so as to obtain a sequencing result;
and the second determining submodule is used for determining fault solution suggestions of the power distribution network according to the sorting result.
Optionally, the power distribution network basic network frame data comprises power distribution network line parameter data and power distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
According to the technical scheme, the power distribution network fault solving method and the power distribution network fault solving device provided by the embodiment of the invention acquire power distribution network basic grid frame data, line defect data and environment data; and determining fault solving suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data. Therefore, the basic grid frame data, the line defect data and the environment data of the power distribution network can be obtained, and then the fault solving suggestion of the power distribution network can be determined according to the basic grid frame data, the line defect data and the environment data of the power distribution network. The key factors causing the line faults can be found in time, and the solving efficiency of the power distribution network faults is improved.
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In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow chart of a power distribution network fault resolution method provided by the invention;
fig. 2 is a block diagram of a power distribution network fault solving device provided by the invention;
FIG. 3 is a block diagram of another power distribution network fault resolution apparatus provided by the present invention;
fig. 4 is a block diagram of another power distribution network fault resolution device provided by the invention.
Detailed Description
Reference will now be made in detail to the embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the examples below do not represent all embodiments consistent with the present application. Merely as examples of systems and methods consistent with some aspects of the present application as detailed in the claims.
Referring to fig. 1, fig. 1 is a flowchart of a power distribution network fault solving method provided by the invention. As shown in fig. 1, the method comprises the following steps:
and 101, acquiring basic grid frame data, line defect data and environment data of the power distribution network.
In step 101, grid base data of the distribution network may be obtained from a geographic information system (Geographic Information System, GIS); line defect data may be obtained from the production management system; environmental data may be obtained from a meteorological system.
Optionally, the power distribution network basic network frame data comprises power distribution network line parameter data and power distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
It should be noted that, the power distribution network basic network frame data may include power distribution network line parameter data and power distribution network line topology data; the environmental data may include lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution level data, and flood data.
And 102, determining fault solution suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data.
In step 102, a fault resolution recommendation for the power distribution network may be determined based on the power distribution network base grid data, the line defect data, and the environmental data.
Optionally, before the step of determining the fault resolution advice for the power distribution network according to the power distribution network base grid data, the line defect data and the environmental data, the method further includes:
performing missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and association verification processing on the power distribution network basic network frame data, the line defect data and the environment data to obtain processed power distribution network basic network frame data, processed line defect data and processed environment data;
the determining the fault solution suggestion of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data comprises the following steps:
and determining fault solving suggestions of the power distribution network according to the processed power distribution network basic network frame data, the processed line defect data and the processed environment data.
Furthermore, missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and association verification processing can be performed on the power distribution network basic network frame data, the line defect data and the environment data, so that the processed power distribution network basic network frame data, the processed line defect data and the processed environment data are obtained. The filling processing of the missing value, namely, analyzing and screening partial missing data, finding out the missing data, and processing the missing data in a deleting or approximate value supplementing mode; abnormal value processing, namely processing partial abnormal data by using a capping method and other modes; noise reduction processing, namely noise reduction and searching for referenceable features of data, and finding out extraction logic rules; feature conversion processing, namely converting field data in original data to obtain numerical data suitable for algorithm model construction; and performing association verification processing, namely performing association verification on the cleaned data, wherein the data which cannot pass the association verification cannot participate in modeling analysis.
The fault resolution advice of the power distribution network can be determined according to the processed power distribution network basic network frame data, the processed line defect data and the processed environment data.
Optionally, the determining the fault resolution suggestion of the power distribution network according to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data includes:
determining target parameter combinations corresponding to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data;
calculating the influence degree of the processed power distribution network basic net rack data, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network respectively;
sequencing the influence degree of the faults of the power distribution network, which are obtained through calculation, according to the descending order of the influence degree, so as to obtain a sequencing result;
and determining fault resolution suggestions of the power distribution network according to the sequencing result.
Furthermore, the target parameter combinations corresponding to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data can be determined, namely all combinations of the independent variables can be enumerated by arranging and combining according to all the independent variables. And then, the degree of influence of the processed basic grid frame data of the power distribution network, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network can be calculated respectively, namely all independent variables and the independent variable combination can be traversed once, and the degree of influence on the faults of the power distribution network is calculated. And then, sorting the calculated influence degrees of the faults of the power distribution network according to the descending order of the influence degrees to obtain sorting results, namely, sorting the respective variables and independent variable combinations according to the descending order of the influence degrees. Finally, according to the sequencing result, the fault solution proposal of the power distribution network can be determined. For example, when the distribution network line parameter data has a high degree of influence on the faults of the distribution network, the equipment can be replaced; when the lightning stroke data has higher influence degree on the faults of the power distribution network, such as low lightning resistance level, insulators can be replaced, lightning protection equipment can be additionally arranged, and the grounding resistance of the tower can be improved. Trees and the like can be trimmed when the tree growth has a high degree of impact on the failure of the distribution network.
According to the technical scheme, the power distribution network fault solving method provided by the embodiment of the invention obtains the basic grid frame data, the line defect data and the environment data of the power distribution network; and determining fault solving suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data. The method can acquire basic grid frame data, line defect data and environment data of the power distribution network, and then determine fault solving suggestions of the power distribution network according to the basic grid frame data, the line defect data and the environment data of the power distribution network. The key factors causing the line faults can be found in time, and the solving efficiency of the power distribution network faults is improved.
Referring to fig. 2, fig. 2 is a block diagram of a power distribution network fault solving device provided by the invention. As shown in fig. 2, the power distribution network fault resolution apparatus 200 includes an acquisition module 201 and a determination module 202, where:
an acquisition module 201, configured to acquire power distribution network basic grid frame data, line defect data, and environmental data;
a determining module 202, configured to determine a fault solution suggestion of the power distribution network according to the power distribution network base network frame data, the line defect data, and the environmental data.
Optionally, as shown in fig. 3, the power distribution network fault resolution device further includes:
the processing module 203 is configured to perform missing value filling processing, outlier processing, noise reduction processing, feature conversion processing, and association verification processing on the power distribution network basic network frame data, the line defect data, and the environmental data, to obtain processed power distribution network basic network frame data, processed line defect data, and processed environmental data;
the determining module 202 is specifically configured to determine a fault resolution suggestion of the power distribution network according to the processed power distribution network base grid data, the processed line defect data, and the processed environment data.
Optionally, as shown in fig. 4, the determining module 202 includes:
a first determining submodule 2021, configured to determine a target parameter combination corresponding to the processed power distribution network base net rack data, the processed line defect data, and the processed environment data;
a calculating submodule 2022, configured to calculate the degree of influence of the processed power distribution network base network frame data, the processed line defect data, the processed environment data, and the target parameter combination on the fault of the power distribution network, respectively;
a sequencing submodule 2023, configured to sequence the calculated impact degrees of the faults of the power distribution network according to the descending order of the impact degrees, so as to obtain a sequencing result;
a second determining submodule 2024 is configured to determine a fault resolution suggestion of the power distribution network according to the sequencing result.
Optionally, the power distribution network basic network frame data comprises power distribution network line parameter data and power distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
The power distribution network fault solving device 200 can implement each process implemented by the power distribution network fault solving device in the method embodiment of fig. 1, and in order to avoid repetition, a description is omitted here. And the power distribution network fault solving device 200 can obtain power distribution network basic network frame data, line defect data and environment data, and then can determine fault solving suggestions of the power distribution network according to the power distribution network basic network frame data, the line defect data and the environment data. The key factors causing the line faults can be found in time, and the solving efficiency of the power distribution network faults is improved.
The foregoing detailed description of the embodiments is merely illustrative of the general principles of the present application and should not be taken in any way as limiting the scope of the invention. Any other embodiments developed in accordance with the present application without inventive effort are within the scope of the present application for those skilled in the art.

Claims (4)

1. A power distribution network fault resolution method, comprising:
acquiring basic grid frame data, line defect data and environment data of a power distribution network;
performing missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and association verification processing on the power distribution network basic network frame data, the line defect data and the environment data to obtain processed power distribution network basic network frame data, processed line defect data and processed environment data;
determining target parameter combinations corresponding to the processed power distribution network basic grid frame data, the processed line defect data and the processed environment data;
calculating the influence degree of the processed power distribution network basic net rack data, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network respectively;
sequencing the influence degree of the faults of the power distribution network, which are obtained through calculation, according to the descending order of the influence degree, so as to obtain a sequencing result;
and determining fault resolution suggestions of the power distribution network according to the sequencing result.
2. The method as recited in claim 1, wherein the distribution network base rack data includes distribution network line parameter data and distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
3. A power distribution network fault resolution apparatus, comprising:
the acquisition module is used for acquiring basic grid frame data, line defect data and environment data of the power distribution network;
the processing module is used for carrying out missing value filling processing, abnormal value processing, noise reduction processing, feature conversion processing and correlation verification processing on the power distribution network basic network frame data, the line defect data and the environment data to obtain processed power distribution network basic network frame data, processed line defect data and processed environment data;
the first determining submodule is used for determining target parameter combinations corresponding to the processed power distribution network basic net rack data, the processed line defect data and the processed environment data;
the calculation sub-module is used for respectively calculating the influence degree of the processed power distribution network basic net rack data, the processed line defect data, the processed environment data and the target parameter combination on the faults of the power distribution network;
the sequencing sub-module is used for sequencing the calculated influence degrees of the faults of the power distribution network according to the descending order of the influence degrees, so as to obtain a sequencing result;
and the second determining submodule is used for determining fault solution suggestions of the power distribution network according to the sorting result.
4. The power distribution network fault resolution device as claimed in claim 3, wherein the power distribution network base grid data includes power distribution network line parameter data and power distribution network line topology data; the environmental data includes lightning strike data, forest fire data, air temperature data, precipitation data, wind power data, tree growth data, pollution grade data, and flood data.
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