CN113408656A - Power failure level classification method suitable for being caused by meteorological change - Google Patents
Power failure level classification method suitable for being caused by meteorological change Download PDFInfo
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Abstract
The invention discloses a classification method suitable for power failure grades caused by meteorological changes, which comprises the steps of obtaining historical power failure data; acquiring historical meteorological data and weather forecast data by using a meteorological system; building a fault level classification model by combining the historical power fault data with the meteorological data; and substituting the data set to be tested into the fault level classification model, and outputting to obtain a classification value. According to the method, the influence of meteorological changes can be considered, the type of the power equipment fault can be considered comprehensively, an accurate classification model is constructed through historical data, the accuracy of classification of the power equipment fault level is improved, and reliable service is provided for later maintenance.
Description
Technical Field
The invention relates to the technical field of power equipment fault classification, in particular to a classification method suitable for power fault levels caused by meteorological changes.
Background
In the operation process of a power grid, a plurality of devices can break down due to various reasons, such as load during operation, thunderstorm weather, snowy weather, landslide and the like, some faults can not be solved through maintenance, and therefore the faults of the power devices need to be classified, and the traditional classification method can not accurately classify the faults of the power devices influenced by meteorological change factors.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the occurrence of faults of the power equipment influenced by meteorological change factors cannot be accurately classified.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the steps of obtaining historical power failure data; acquiring historical meteorological data and weather forecast data by using a meteorological system; building a fault level classification model by combining the historical power fault data with the meteorological data; and substituting the data set to be tested into the fault level classification model, and outputting to obtain a classification value.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: acquiring the historical power failure data comprises acquiring the historical power failure data by utilizing a power patrol log system.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: and acquiring historical meteorological data and weather forecast data, wherein the historical meteorological data and the weather forecast data comprise meteorological environment information of the power equipment when the power equipment is in defect.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: the method also comprises the steps of temperature, visibility, cloud cover, precipitation, air pressure, wind speed, wind direction, relative humidity and weather phenomena, and automatically acquires the environment information of the power grid equipment during operation.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: the weather phenomena include whether heavy rain, thunder, small snow and heavy snow weather.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: and constructing the fault level classification model comprises analyzing fault probabilities of different areas, different times and different devices by integrating meteorological early warning data and device operation and maintenance data by utilizing a big data technology analysis technology, and taking the fault probabilities as decision guidance of faults when the power grid device operates.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: the data set to be tested comprises the historical power failure data and the historical meteorological data collected in the last year.
As a preferable aspect of the method for classifying a power failure level caused by weather change according to the present invention, wherein: if the classification value is greater than 0.6 and less than 1, determining that the fault is a primary fault; if the classification value is less than 0.6 and greater than 0.4, the fault is a secondary fault; and if the classification value is greater than 0 and less than 0.4, determining that the fault is a three-level fault.
The invention has the beneficial effects that: according to the method, the influence of meteorological changes can be considered, the type of the power equipment fault can be considered comprehensively, an accurate classification model is constructed through historical data, the accuracy of classification of the power equipment fault level is improved, and reliable service is provided for later maintenance.
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 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 to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flow chart of a method for classifying power failure levels caused by meteorological changes according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
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 and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, for a first embodiment of the present invention, there is provided a method for classifying a power failure level caused by weather change, including:
s1: historical power failure data is obtained. Wherein, it is required to be noted that:
and collecting historical power failure data by using a power patrol log system.
S2: and acquiring historical meteorological data and weather forecast data by using a meteorological system. The steps to be explained are as follows:
weather environment information where the power equipment is in the defect;
the method comprises the following steps of automatically acquiring environment information of power grid equipment during operation according to temperature, visibility, cloud cover, precipitation, air pressure, air speed, wind direction, relative humidity and weather phenomena;
weather phenomena include whether heavy rain, lightning, snow, heavy snow weather.
S3: and combining historical power failure data with meteorological data to construct a failure level classification model. It should be further noted that constructing the fault level classification model includes:
by utilizing a big data technology analysis technology, analyzing the failure probability of different areas, different times and different equipment by integrating meteorological early warning data and equipment operation and maintenance data, and taking the failure probability as a decision guide for the failure of the power grid equipment during operation;
specifically, the fault level classification model performs classification calculation in the following form.
S4: and substituting the data set to be tested into the fault level classification model, and outputting to obtain a classification value. What should be further described in this step is:
the data set to be tested comprises historical power failure data and historical meteorological data acquired in the last year;
if the classification value is greater than 0.6 and less than 1, the fault is a first-stage fault;
if the classification value is less than 0.6 and greater than 0.4, the fault is a secondary fault;
and if the classification value is greater than 0 and less than 0.4, determining that the fault is a three-level fault.
Example 2
In order to better verify and explain the technical effects adopted in the method of the present invention, the embodiment selects to compare the traditional power failure classification method with the method of the present invention for testing, and compares the test results by means of scientific demonstration to verify the real effect of the method of the present invention.
In order to verify that the method has higher accuracy compared with the traditional method, the method provided by the invention is adopted to carry out real-time measurement and comparison on the power equipment parameter fault classification of the simulation platform respectively.
And (3) testing environment: importing the parameters of the electric power equipment into a simulation platform for simulation operation and simulating a severe weather scene, starting automatic test equipment by using historical electric power equipment parameter data and meteorological data of 12 months in 2019 as test samples, and realizing test operation by using programming software.
In each method, 100 groups of data are tested, time and error values of each group of data are obtained through calculation, and the error values are compared and calculated with an actual predicted value input by simulation, and the following table shows that:
table 1: error comparison table.
| 1 to 3 months | 4-6 months | 7-9 months | 10 to 12 months | |
| Conventional methods | 32.832％ | 34.214％ | 33.276％ | 34.823％ |
| The method of the invention | 21.342％ | 22.657％ | 22.398％ | 21.763％ |
Referring to table 1, it can be seen that the error value of the output result of the conventional method is much larger than that of the output result of the method of the present invention, so the classification accuracy of the present invention is higher.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (8)
1. A classification method suitable for power failure levels caused by meteorological changes is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
acquiring historical power failure data;
acquiring historical meteorological data and weather forecast data by using a meteorological system;
building a fault level classification model by combining the historical power fault data with the meteorological data;
and substituting the data set to be tested into the fault level classification model, and outputting to obtain a classification value.
2. The method of classifying the level of a power failure caused by meteorological changes according to claim 1, wherein: acquiring the historical power failure data comprises acquiring the historical power failure data by utilizing a power patrol log system.
3. The method for classifying the level of a power failure caused by meteorological changes according to claim 1 or 2, wherein: and acquiring historical meteorological data and weather forecast data, wherein the historical meteorological data and the weather forecast data comprise meteorological environment information of the power equipment when the power equipment is in defect.
4. The method of classifying the level of a power failure caused by meteorological changes according to claim 3, wherein: the method also comprises the steps of temperature, visibility, cloud cover, precipitation, air pressure, wind speed, wind direction, relative humidity and weather phenomena, and automatically acquires the environment information of the power grid equipment during operation.
5. The method of classifying the level of a power failure caused by meteorological changes according to claim 4, wherein: the weather phenomena include whether heavy rain, thunder, small snow and heavy snow weather.
6. The method of classifying the level of a power failure caused by meteorological changes according to claim 5, wherein: constructing the fault level classification model includes,
by utilizing a big data technology analysis technology, weather early warning data and equipment operation and maintenance data are synthesized to analyze the fault probability of different areas, different times and different equipment, and the fault probability is used as a decision guide for the fault occurrence of the power grid equipment during operation.
7. The method of classifying the level of a power failure caused by meteorological changes according to claim 6, wherein: the data set to be tested comprises the historical power failure data and the historical meteorological data collected in the last year.
8. The method of classifying the level of a power failure caused by meteorological changes according to claim 7, wherein: if the classification value is greater than 0.6 and less than 1, determining that the fault is a primary fault;
if the classification value is less than 0.6 and greater than 0.4, the fault is a secondary fault;
and if the classification value is greater than 0 and less than 0.4, determining that the fault is a three-level fault.
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