CN114139408A - Power transformer health state assessment method - Google Patents
Power transformer health state assessment method Download PDFInfo
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Abstract
The invention provides a power transformer health state assessment method, which comprises the steps of collecting historical active power output time sequence data of a power transformer in a research period, and constructing a data sample; carrying out data preprocessing on the data sample to obtain a marked numerical value sequence; correspondingly grouping the marked numerical value sequences by utilizing the output time period of the power equipment, and arranging the grouped marked numerical value sequences in a descending order according to the mark number of each group from large to small; respectively calculating the active power output and the fault tolerance of the power transformer in each period of the power equipment output period by using the numerical value sequence of the marks after descending order arrangement, and generating a curve graph; and analyzing the health state of the power transformer under different voltage levels, different manufacturing materials and different time periods by combining the graphs. The method can effectively overcome the defects of the existing power equipment evaluation model and improve the accuracy of the evaluation of the health state of the power equipment.
Description
Technical Field
The invention relates to the technical field of power equipment state evaluation, in particular to a power transformer health state evaluation method.
Background
In recent years, with the rapid expansion of the scale of a power grid, the workload of regular maintenance is increased sharply, the problems of shortage of maintenance personnel and difficult arrangement of power failure are increasingly highlighted, and at present, the state evaluation of the power transformer is to quantitatively reflect the direct phenomenon of the operation condition of equipment or indirect parameters obtained by a test means, compare the direct phenomenon with attention values in regulations and finally obtain an evaluation result through a preset grading model.
The existing state evaluation model mainly has the problems that the evaluation model is mainly evaluated based on parameters obtained by a power failure test, the running state of the transformer is complex in change in the running process according to actual running experience, and latent defects and hidden dangers cannot be found in time only by the power failure test.
In addition, the evaluation of the health state of the power equipment is also affected to a certain extent by the unification of scores of different voltage grades and different manufacturing materials, the data fusion problem obtained by different acquisition modes of the same state quantity is solved, and the detailed problems such as data loss or periodic failure processing problem still need to be further improved.
Disclosure of Invention
The embodiment of the invention provides a power transformer health state assessment method.
Optionally, in a possible implementation manner of the first aspect, historical active power output time sequence data of the power transformer in a research period is collected, and a data sample is constructed; carrying out data preprocessing on the data sample to obtain a marked numerical value sequence; correspondingly grouping the marked numerical value sequences by utilizing the output time period of the power equipment, and arranging the grouped marked numerical value sequences in a descending order according to the mark number of each group from large to small; respectively calculating the active power output and the fault tolerance of the power transformer in each period of the power equipment output period by using the numerical value sequence of the marks after descending order arrangement, and generating a curve graph; and analyzing the health state of the power transformer under different voltage levels, different manufacturing materials and different time periods by combining the graphs.
Optionally, in a possible implementation manner of the first aspect, constructing the data sample includes collecting the historical active power output time series data of the power transformer within one year, and defining a sampling step length to be 10 minutes; calculating collected data by 365 days, 24 hours and 4 seasons to obtain a power transformer annual active power output time sequence data sequence; and marking the annual active power output time sequence data sequence of the power transformer, and constructing 20000 data samples.
Optionally, in a possible implementation manner of the first aspect, the preprocessing includes performing data inspection and correction on the data sample, and removing error data caused by sampling communication transmission error factors; correcting by using the average value of two active output sampling data close to the sampling time point; replacing the error data and rejecting sampling time data which are not generated by the power transformer; and matching the data samples which are checked and corrected to obtain the data samples without unit dimension.
In a first aspect of the embodiments of the present invention, a method for evaluating a health status of a power transformer is provided, and optionally in a possible implementation manner of the first aspect, the matching process includes,
wherein the content of the first and second substances,
: the power transformer is arranged attAt the first momentiThe output of the natural active power is checked,
: the power transformer is arranged attAt the first momentiThe sampling value of the output of the natural active power,
: the total installed capacity of the power transformer,
: an error correction factor; dividing the data samples by the installed capacity of the power transformer to obtain verified mark numerical values, and respectively forming a sequence; grouping the marked numerical value sequences according to daily sampling time, wherein the total number of the groups is 24; the data samples for each set are 365 check data points corresponding to the sequence of labeled values at the respective time of day.
Optionally, in a possible implementation manner of the first aspect, the power device output time period includes a power generation time period and a non-power generation time period, and performing descending order by using the power device output time periods includes rejecting sampling time data that is not generated in the power device output time period; and the grouped marking numerical values are all subjected to descending order arrangement from large to small by utilizing a descending order arrangement function, as follows,
wherein the content of the first and second substances,
: descending order function, i: days, t: the number of the time of day is numbered,
: the power transformer is arranged attAt the first momentiAnd (5) a verification value of the natural active power output.
In a first aspect of the embodiments of the present invention, a method for evaluating a health status of a power transformer is provided, and optionally, in a possible implementation manner of the first aspect, an active power output of the power transformer corresponding to a fault tolerance at time t defined as x% is as follows,
wherein the content of the first and second substances,
: an upward rounding function; and according to definition calculation, obtaining the corresponding active output value of the power transformer when the fault tolerance at the moment t is x%, and outputting an active output fault tolerance distribution curve at each moment.
Optionally, in a possible implementation manner of the first aspect, analyzing the active output fault tolerance distribution curve includes solving an analysis and evaluation model with a bayesian conversion objective function as a target based on an influence neglect optimization strategy, as follows,
wherein the content of the first and second substances,G i : inputting fault tolerance termsx i The time period category of (a) is,p i : classifier to input fault tolerance termsx i Is the uniformly set probability, N: the number of data items may not be evaluated.
Optionally, in a possible implementation manner of the first aspect, the analysis and evaluation model performs section division calculation according to the generated active output fault tolerance distribution curve; converting the solving result into a table in numerical arrangement; the table data is referenced to learn the health of the power transformer.
In a second aspect of the embodiments of the present invention, there is provided a power transformer health status evaluation apparatus, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention as well as various possible aspects of the first aspect.
In a third aspect of the embodiments of the present invention, a readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the first aspect of the present invention and the methods according to the first aspect of the present invention.
The method for evaluating the health state of the power transformer can effectively overcome the defects of the existing power equipment evaluation model, can generate a curve chart for accurate analysis through preprocessing operation on data samples, further solves the result by combining the analysis evaluation model and converts the result into a table for reference, and improves the accuracy of evaluating the health state of the power equipment.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for evaluating a health status of a power transformer according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an experimental comparison curve of a power transformer health status evaluation method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, an application scenario schematic diagram provided in an embodiment of the present invention is shown.
The embodiment provides a method for evaluating the health state of a power transformer, which specifically comprises the following steps:
s1: historical active power output time sequence data of the power transformer in a research period are collected, and a data sample is constructed. It should be noted that constructing the data sample includes:
acquiring historical active power output time sequence data of a power transformer within one year, and defining the sampling step length to be 10 minutes;
calculating the collected data by 365 days, 24 hours and 4 seasons to obtain a power transformer annual active power output time sequence data sequence;
and marking the annual active power output time sequence data sequence of the power transformer, and constructing 20000 data samples.
S2: and carrying out data preprocessing on the data sample to obtain a marked numerical sequence. It should be noted that the pretreatment includes:
carrying out data inspection and correction on the data samples, and eliminating error data caused by sampling communication transmission error factors;
correcting by using the average value of two active output sampling data close to the sampling time point;
eliminating sampling time data of the power transformer which does not generate power while replacing error data;
and matching the data samples which are checked and corrected to obtain the data samples without unit dimension.
S3: and correspondingly grouping the marked numerical value sequences by utilizing the output time period of the power equipment, and arranging the grouped marked numerical value sequences in a descending order according to the number of marks in each group from large to small. It should be further noted that the matching process includes:
wherein the content of the first and second substances,
: the power transformer is arranged attAt the first momentiThe output of the natural active power is checked,
: the power transformer is arranged attAt the first momentiThe sampling value of the output of the natural active power,
: the total installed capacity of the power transformer,
: an error correction factor;
dividing the data samples by the installed capacity of the power transformer to obtain verified mark numerical values, and respectively forming a sequence;
grouping the marked numerical value sequences according to daily sampling time, wherein the number of the groups is 24;
the data samples for each set were 365 check data points, corresponding to the sequence of labeled values at the respective time of day.
S4: and respectively calculating the active power output and the fault tolerance of the power transformer in each period of the power equipment output period by using the mark numerical value sequence after descending order arrangement, and generating a curve graph. It should be further noted that, the output time periods of the power devices include a power generation time period and a non-power generation time period, and the performing of the descending order by using the output time periods of the power devices includes:
eliminating sampling time data of the power equipment which does not generate power in the output time period;
the sorted descending function is used to sort the grouped marking values in descending order from big to small, as follows,
wherein the content of the first and second substances,
: descending order function, i: days, t: the number of the time of day is numbered,
: the power transformer is arranged attAt the first momentiAnd (5) a verification value of the natural active power output.
In a first aspect of the embodiments of the present invention, a method for evaluating a health status of a power transformer is provided, and optionally, in a possible implementation manner of the first aspect, an active power output of the power transformer corresponding to a fault tolerance at time t defined as x% is as follows,
wherein the content of the first and second substances,
: an upward rounding function;
and calculating according to the definition to obtain the corresponding power transformer active output value when the fault tolerance at the moment t is x%, and outputting an active output fault tolerance distribution curve at each moment.
S5: and analyzing the health state of the power transformer under different voltage levels, different manufacturing materials and different time periods by combining the graphs. Wherein it should be noted again that, analyzing the active output fault tolerance distribution curve includes:
an analytical evaluation model that targets a bayesian transfer objective function is solved based on an impact neglect optimization strategy, as follows,
wherein the content of the first and second substances,G i : inputting fault tolerance termsx i The time period category of (a) is,p i : classifier to input fault tolerance termsx i Is the uniformly set probability, N: the number of data items may not be evaluated.
Further, the method also comprises the following steps:
the analysis evaluation model carries out section division calculation according to the generated active power output fault tolerance distribution curve;
converting the solving result into a table in numerical arrangement;
the table data is referenced to learn the health of the power transformer.
Preferably, in this embodiment, it should be further explained that, according to a power transformer state evaluation framework, in the existing power equipment state evaluation method, in combination with factors such as a power failure test, a live detection, an online monitoring, a professional inspection, and an operating environment, factors such as an equipment state quantity, a bad working condition, and a family defect are combed again, and a state evaluation model integrating multi-source information is provided, which cannot well solve the defects existing in the existing power equipment evaluation model, that is, the running state of a transformer is complex in a running process, and the problems of latent defects and hidden dangers cannot be found in time only by the power failure test; the method provided by the invention breaks through the traditional assessment method, quantifies the output value of the power transformer by considering different fault-tolerant rates in different time periods, analyzes the active output reference value of the power transformer under different fault-tolerant rate conditions in different time periods in power peak shaving and power grid planning calculation by using a fault-tolerant rate distribution curve, and solves the problem of inaccurate state assessment of the power transformer caused by data defects caused by power failure and complex operation state of the power transformer.
Preferably, in order to better verify and explain the technical effects adopted in the method of the present invention, the present embodiment selects a conventional state evaluation method integrating multi-source information to perform a comparison test with the method of the present invention, and compares the test results by means of scientific demonstration to verify the real effects of the method of the present invention.
In order to verify that the method has higher efficiency and more accurate analysis evaluation degree compared with the traditional method, the traditional method and the method are adopted to carry out state evaluation test on the power transformer in a certain transformer substation in the south respectively.
And (3) testing environment: (1) DELL Tower Server, Windows10 operating system, NVIDA GTX 1080Ti GUP and Intercore i7-8700@3.20 GHz;
(2) memory 32G and video memory 8G;
(3) the method and the traditional method are realized by adopting Python3.6 based on a Tensorflow1.14 framework.
Referring to fig. 2, it can be seen intuitively that the active output calibration value of the power transformer in the conventional method is gradually reduced along with the increase of the fault tolerance, the curve is in a descending trend, the higher the fault tolerance is, the smaller the evaluation influence is, and the method of the present invention provides an operation basis for the reliability of power peak regulation and power dispatching operation.
The present embodiment also provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing the methods provided by the various embodiments described above when being executed by a processor.
Wherein a readable storage medium may be a computer storage medium or a communication medium, including any medium that facilitates transfer of a computer program from one place to another, and which may be any available medium that can be accessed by a general purpose or special purpose computer; for example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium.
Of course, the readable storage medium may be a part of the processor, the processor and the readable storage medium may be located in an Application Specific Integrated Circuits (ASIC), the ASIC may be located in the user equipment, and of course, the processor and the readable storage medium may also be present in the communication device as discrete components, and the readable storage medium may be a Read Only Memory (ROM), a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising executable instructions stored in a readable storage medium, the executable instructions being readable from the readable storage medium by at least one processor of a device, execution of the executable instructions by the at least one processor causing the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a microprocessor, or any conventional Processor, and the steps of the method disclosed in the present invention may be directly embodied as a hardware Processor, or may be implemented by a combination of hardware and software modules in the Processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for assessing the state of health of a power transformer is characterized by comprising the following steps:
collecting historical active power output time sequence data of the power transformer in a research period, and constructing a data sample;
carrying out data preprocessing on the data sample to obtain a marked numerical value sequence;
correspondingly grouping the marked numerical value sequences by utilizing the output time period of the power equipment, and arranging the grouped marked numerical value sequences in a descending order according to the mark number of each group from large to small;
respectively calculating the active power output and the fault tolerance of the power transformer in each period of the power equipment output period by using the numerical value sequence of the marks after descending order arrangement, and generating a curve graph;
and analyzing the health state of the power transformer under different voltage levels, different manufacturing materials and different time periods by combining the graphs.
2. The power transformer health assessment method of claim 1, wherein: constructing the data sample includes constructing the data sample,
acquiring historical active power output time sequence data of the power transformer within one year, and defining the sampling step length to be 10 minutes;
calculating collected data by 365 days, 24 hours and 4 seasons to obtain a power transformer annual active power output time sequence data sequence;
and marking the annual active power output time sequence data sequence of the power transformer, and constructing 20000 data samples.
3. A power transformer state of health assessment method according to claim 1 or 2, characterized by: the pre-treatment comprises the steps of,
carrying out data inspection and correction on the data samples, and eliminating error data caused by sampling communication transmission error factors;
correcting by using the average value of two active output sampling data close to the sampling time point;
replacing the error data and rejecting sampling time data which are not generated by the power transformer;
and matching the data samples which are checked and corrected to obtain the data samples without unit dimension.
4. The power transformer health assessment method of claim 3, wherein: the matching process includes, in combination,
wherein the content of the first and second substances,
: the power transformer is arranged attAt the first momentiThe output of the natural active power is checked,
: the power transformer is arranged attAt the first momentiThe sampling value of the output of the natural active power,
: the total installed capacity of the power transformer,
: an error correction factor;
dividing the data samples by the installed capacity of the power transformer to obtain verified mark numerical values, and respectively forming a sequence;
grouping the marked numerical value sequences according to daily sampling time, wherein the total number of the groups is 24;
the data samples for each set are 365 check data points corresponding to the sequence of labeled values at the respective time of day.
5. The power transformer health assessment method of claim 4, wherein: the power device output periods comprise power generation periods and non-power generation periods, the utilizing of the power device output periods for descending order comprises,
eliminating sampling time data of the power equipment which does not generate power in the output time period;
and the grouped marking numerical values are all subjected to descending order arrangement from large to small by utilizing a descending order arrangement function, as follows,
wherein the content of the first and second substances,
: descending order function, i: skyNumber, t: the number of the time of day is numbered,
: the power transformer is arranged attAt the first momentiAnd (5) a verification value of the natural active power output.
6. The power transformer health assessment method of claim 5, wherein: defining the fault tolerance at the moment t as x%, the corresponding active power output of the power transformer is as follows,
wherein the content of the first and second substances,
: an upward rounding function;
and according to definition calculation, obtaining the corresponding active output value of the power transformer when the fault tolerance at the moment t is x%, and outputting an active output fault tolerance distribution curve at each moment.
7. The power transformer health assessment method of claim 6, wherein: analyzing the active power output fault tolerance distribution curve includes,
an analytical evaluation model that targets a bayesian transfer objective function is solved based on an impact neglect optimization strategy, as follows,
wherein the content of the first and second substances,G i : inputting fault tolerance termsx i The time period category of (a) is,p i : classifier to input fault tolerance termsx i Is the uniformly set probability, N: the number of data items may not be evaluated.
8. The power transformer health assessment method of claim 7, wherein: also comprises the following steps of (1) preparing,
the analysis evaluation model carries out section division calculation according to the generated active output fault tolerance distribution curve;
converting the solving result into a table in numerical arrangement;
the table data is referenced to learn the health of the power transformer.
9. A health diagnostic device suitable for rail transit vehicles, comprising: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of any of claims 1 to 8.
10. A readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
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| CN117129789A (en) * | 2023-10-24 | 2023-11-28 | 北京智盟信通科技有限公司 | Health state assessment method for power transformer insulation system |
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