CN117828485A - Inverter low-efficiency diagnosis method and device - Google Patents
Inverter low-efficiency diagnosis method and device Download PDFInfo
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Abstract
The invention discloses an inverter low-efficiency diagnosis method and device, comprising the following steps: acquiring parameter data of an inverter; according to the parameter data of the inverter, verifying the parameter data of the inverter; based on an equipment fault tree of the inverter, shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the inverter after verification, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter; and according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter. The technical scheme provided by the embodiment of the invention solves the problem that the low-efficiency diagnosis precision of the inverter is not high in the low-efficiency diagnosis method of the inverter.
Description
Technical Field
The embodiment of the invention relates to the technical field of inverters, in particular to an inverter low-efficiency diagnosis method and device.
Background
The inverter is a converter that converts direct current into alternating current. The main body of the inverter is an inverter circuit, and the inverter also comprises a control, protection and filter circuit, and is widely applied to office equipment, household appliances and the like. When the inverter is applied to work, the inverter is subjected to low-efficiency diagnosis, and the low efficiency of the inverter caused by the inverter is judged.
In the prior art, the inverter inefficiency diagnosis based on data analysis takes the equivalent hours as a measurement standard of the power generation capacity, and the inverter daily equivalent hours=inverter daily power generation capacity/inverter installed capacity.
However, in the practical application process, a large amount of abnormal data exists, and the diagnosis result has high error rate and low available value through a large amount of power station data examination, and the main reasons are as follows: firstly, the data problem is difficult to solve, for example, the installed capacity of the inverter is equipment configuration information, the configuration information and the actual access are large, manual configuration errors possibly exist, after the station is established, the installed capacity of the inverter is changed due to various factors, the installed capacity of the inverter is inconsistent with the initial planning information, and the like, and the generated energy data of the inverter possibly have inconsistent units, mismatching, acquisition of measuring points, and the like; second, inverter inefficiency may be disturbed by faults of the upper or lower level equipment of the inverter, and may also be affected by factors such as terrain, other than the inverter itself.
The problem of low-efficiency diagnosis precision of the inverter existing in the existing low-efficiency diagnosis method of the inverter becomes a technical problem to be solved in the industry.
Disclosure of Invention
The embodiment of the invention provides an inverter low-efficiency diagnosis method and device, which are used for solving the problem that the inverter low-efficiency diagnosis precision is not high in the inverter low-efficiency diagnosis method.
In order to realize the technical problems, the invention adopts the following technical scheme:
according to an aspect of the present invention, there is provided an inverter inefficiency diagnosis method including:
acquiring parameter data of an inverter, and checking the parameter data of the inverter;
based on an equipment fault tree of the inverter, shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the inverter after verification, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter;
and according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter.
Optionally, acquiring parameter data of the inverter and verifying the parameter data of the inverter includes:
the parameter data of the inverter comprises installed capacity data of the inverter and daily power generation capacity data of the inverter;
according to the installed capacity data of the inverter, verifying the parameter data of the inverter to obtain first verification data;
and verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data.
Optionally, verifying parameter data of the inverter according to installed capacity data of the inverter to obtain first verification data, including:
according to the installed capacity data of the inverter, extracting the installed capacity of the inverter with preset historical days, the peak power generation power of the inverter and the rated installed power of the inverter;
calculating the average value of the peak power generation power of the inverter on the preset historical days according to the peak power generation power of the inverter;
calculating the power peak installation ratio according to the ratio of the average value of the peak generated power and the installation capacity of the inverter;
calculating a rated installed ratio according to the ratio of the rated installed power of the inverter to the installed capacity of the inverter;
and (3) performing space outlier detection on the power peak installed ratio and the rated installed ratio of all inverters in the same power station by adopting a local outlier factor algorithm, finding out the inverter class with outlier configuration information, and determining first check data capable of effectively diagnosing the low-efficiency inverter.
Optionally, verifying parameter data of the inverter according to daily power generation amount data of the inverter to obtain second verification data, including:
extracting daily power generation of the inverter according to the daily power generation data of the inverter;
calculating the integral sum of the daily power generation power of the inverter according to the daily power generation power of the inverter;
extracting the difference characteristics of the daily power integration sum and the daily power generation time scale;
and adopting an outlier detection algorithm to perform space outlier detection on the inverters of the same power station, finding out the inverter class with outlier configuration information, and determining second check-up data capable of effectively diagnosing the low-efficiency inverter.
Optionally, based on an equipment fault tree of the inverter, shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the inverter after verification, correcting the parameter data of the inverter to obtain an equivalent hours of the inverter, including:
and on the basis of the equipment fault tree of the inverter, shielding the interference factors due to the abnormality of upper and lower equipment of the inverter and the interference factors due to the abnormality of self shutdown communication, and correcting the equivalent hours of the inverter to obtain the equivalent hours of the inverter.
Optionally, based on an equipment fault tree of the inverter, shielding an interference factor due to abnormality of upper and lower equipment of the inverter and an interference factor due to abnormality of self shutdown communication, correcting an equivalent hours of the inverter to obtain the equivalent hours of the inverter, including:
according to the parameter data of the verified inverter, obtaining the verified upper and lower level abnormality alarm signals of the inverter, and obtaining the date of the existence of the shutdown communication event and the upper and lower level abnormality of the equipment, wherein the effective equivalent hour number EH of the inverter has the following calculation formula:
wherein ΣP 1 Is the accumulated value of the generated energy of the inverter on non-abnormal date to be diagnosed, sigma P 2 Is equivalent power generation amount of abnormal date of inverter to be diagnosed, ΣP 2 The =ηstation is the installed capacity, station is the number of equivalent hours of the station on the abnormal date, and station is the mean of the number of equivalent hours of the station on the abnormal date; η is the equivalent coefficient and M is the number of days of the historical calculation period.
Optionally, determining the inefficient inverter according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic manner, including:
dynamically dividing inverters in the same area based on theoretical start-stop time, and eliminating terrain interference factors to obtain equivalent hours of the inverters;
clustering the start-up time and the stop time of the days of the historical calculation period of the inverter to obtain inverter classes in the same-orientation area;
and dynamically comparing the equivalent hours of the inverters in the subareas, and after the equivalent hours of the inverters are in the same-orientation area, designating the inverters in the threshold value or continuously and dynamically shifting backwards and ranking in the diagnosis period, so as to diagnose the inverters as low-efficiency inverters.
Optionally, after determining the inefficient inverter by comparing the equivalent hours of the inverter in a zoned dynamic manner according to the equivalent hours of the inverter, the method further comprises:
performing space-time dimension analysis on alternating voltage, module temperature and negative electrode ground voltage of the low-efficiency inverter to obtain a space-time dimension analysis result;
and determining the root cause of the low-efficiency inverter according to the space-time dimension analysis result.
Optionally, performing space-time dimension analysis on the ac voltage, the module temperature and the negative electrode ground voltage of the low-efficiency inverter to obtain a space-time dimension analysis result, including:
and clustering and differential analysis are carried out on the characteristics of the inverter group samples of the low-efficiency inverter in space, and dynamic comparison is carried out on the differences between the low-efficiency inverter and the inverter group samples by combining with a time period change rule, so that a space-time dimension analysis result is obtained.
Optionally, determining the root cause of the low-efficiency inverter according to the space-time dimension analysis result includes:
when unbalance or abnormal temperature rising characteristics of the module temperature occur, judging that the low efficiency reason of the inverter is abnormal heat dissipation;
when the negative electrode grounding voltage and the direct current voltage have the characteristics of abnormal difference value and the like, judging that the cause of the inefficiency of the inverter is insulation abnormality;
the continuous inefficiency occurs during the diagnostic period, and the cause of the inefficiency of the inverter is determined to be attenuation or heat dissipation.
According to another aspect of the present invention, there is provided an inverter inefficiency diagnosis device including:
the acquisition module is used for acquiring the parameter data of the inverter;
the verification module is used for verifying the parameter data of the inverter according to the parameter data of the inverter;
the calculation module is used for shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the verified inverter based on the equipment fault tree of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter;
and the determining module is used for determining the low-efficiency inverter by comparing the equivalent hours of the inverter in a regional dynamic manner according to the equivalent hours of the inverter.
According to the inverter low-efficiency diagnosis method, parameter data of an inverter are obtained, the parameter data of the inverter are verified according to the parameter data of the inverter, interference factors which are not caused by the low efficiency of the inverter in the parameter data of the inverter after verification are shielded based on equipment fault trees of the inverter, the parameter data of the inverter are corrected, the equivalent hours of the inverter are obtained, the equivalent hours of the inverter are dynamically compared in a regional mode according to the equivalent hours of the inverter, and the low-efficiency inverter is determined. The setting realizes the verification of the parameter data of the inverter, and corrects the equivalent hours of the inverter according to the parameter data of the verified inverter, thereby accurately determining the low-efficiency inverter according to the corrected equivalent hours of the inverter. According to the technical scheme provided by the embodiment, hidden dangers of unreliable data in the actual application process can be removed, interference factors caused by the fact that the non-inverter is low-efficiency are shielded based on the verified data, the interference factors comprise multiple influencing factors such as fault interference, communication abnormality, shutdown and topography of upper and lower equipment, low-efficiency results caused by the fact that the non-inverter is removed, the low-efficiency inverter is accurately positioned, and operation and maintenance are effectively guided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the drawings needed in the description of the embodiments of the present invention, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the contents of the embodiments of the present invention and these drawings without inventive effort for those skilled in the art.
Fig. 1 is a flowchart of an inverter inefficiency diagnosis method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for diagnosing inverter inefficiency provided by an embodiment of the present invention;
FIG. 3 is a flow chart of yet another method for diagnosing inverter inefficiency provided by an embodiment of the present invention;
FIG. 4 is a flow chart of yet another method for diagnosing inverter inefficiency provided by an embodiment of the present invention;
FIG. 5 is a flow chart of yet another method for diagnosing inverter inefficiency provided by an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an inverter inefficiency diagnosis device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "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.
Fig. 1 is a flowchart of an inverter inefficiency diagnosis method according to an embodiment of the present invention. The present embodiment is applicable to a case of performing an inefficient diagnosis of an inverter, and the method may be performed by an inverter inefficiency diagnosis device, which may be implemented in hardware and/or software. As shown in fig. 1, the inverter inefficiency diagnosis method includes:
s110, acquiring parameter data of the inverter, and checking the parameter data of the inverter.
Specifically, the parameter data of the inverter includes configuration information of the inverter, inverter daily power generation amount data, and the like. The configuration information of the inverter includes the installed capacity of the inverter, which refers to the generated power under rated conditions. And verifying the parameter data of the inverter to obtain the inverter parameter data for effectively diagnosing the inefficiency of the inverter. The verification may be based on comparing the parameter data of the inverter with the data of the history. If the parameter data of the inverter is greater than or equal to the set threshold value, judging that the parameter data of the inverter is invalid; if the parameter data of the inverter is smaller than the set threshold value, the parameter data of the inverter is judged to be valid, and the valid parameter data of the inverter is determined to be the inverter data which can effectively diagnose inefficiency.
S120, shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the verified inverter based on the equipment fault tree of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter.
Specifically, the fault tree is an inverted tree logic causal relationship graph, and event symbols, logic gate symbols and transition symbols are used for describing causal relationships among various events in the system. The interference factors comprise factors such as fault interference of upper and lower equipment, communication abnormality, shutdown, topography and the like. The equivalent hours are the number of hours for which the inverter is effectively utilized, which is obtained from the installed capacity and the daily power generation amount data of the inverter. And shielding interference factors caused by inefficiency of the non-inverter in the verified parameter data of the inverter through an equipment fault tree of the inverter, correcting the parameter data of the inverter, further obtaining equivalent hours of the inverter, and eliminating the inefficiency result caused by the non-inverter.
S130, according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter.
Specifically, dynamic comparison includes a comparison analysis of the trend and state of the inverter equivalent hours over a period of time. The step can realize the accurate positioning of the low-efficiency inverter and effectively guide operation and maintenance.
According to the inverter low-efficiency diagnosis method, parameter data of an inverter are obtained, the parameter data of the inverter are verified according to the parameter data of the inverter, interference factors which are not caused by the low efficiency of the inverter in the parameter data of the inverter after verification are shielded based on equipment fault trees of the inverter, the parameter data of the inverter are corrected, the equivalent hours of the inverter are obtained, the equivalent hours of the inverter are dynamically compared in a regional mode according to the equivalent hours of the inverter, and the low-efficiency inverter is determined. The setting realizes the verification of the parameter data of the inverter, and corrects the equivalent hours of the inverter according to the parameter data of the verified inverter, thereby accurately determining the low-efficiency inverter according to the corrected equivalent hours of the inverter. According to the technical scheme provided by the embodiment, hidden dangers of unreliable data in the actual application process can be removed, interference factors caused by the fact that the non-inverter is low-efficiency are shielded based on the verified data, the interference factors comprise multiple influencing factors such as fault interference, communication abnormality, shutdown and topography of upper and lower equipment, low-efficiency results caused by the fact that the non-inverter is removed, the low-efficiency inverter is accurately positioned, and operation and maintenance are effectively guided.
Optionally, fig. 2 is a flowchart of another method for diagnosing inverter inefficiency provided in an embodiment of the present invention, where the embodiment is a detailed technical feature description of the foregoing embodiment. As shown in fig. 2, the inverter inefficiency diagnosis method includes:
s210, parameter data of the inverter includes installed capacity data of the inverter and daily power generation amount data of the inverter.
S211, verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data.
Specifically, the verification basis may be that the installed capacity of the inverter is compared with the data of the history record, and if the installed capacity of the inverter is greater than or equal to a set threshold value, the installed capacity of the inverter is determined to be invalid data; and if the value is smaller than the set threshold value, judging the installed capacity of the inverter as effective data, and taking the effective data as first check data.
In an alternative embodiment, verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data may include:
according to the installed capacity data of the inverter, extracting the installed capacity of the inverter with preset historical days, the peak power generation power of the inverter and the rated installed power of the inverter; calculating the average value of the peak power generation power of the inverter on the preset historical days according to the peak power generation power of the inverter; calculating the power peak installation ratio according to the ratio of the average value of the peak generated power and the installation capacity of the inverter; calculating a rated installed ratio according to the ratio of the rated installed power of the inverter to the installed capacity of the inverter; and (3) performing space outlier detection on the power peak installed ratio and the rated installed ratio of all inverters in the same power station by adopting a local outlier factor algorithm, finding out the inverter class with outlier configuration information, and determining first check data capable of effectively diagnosing the low-efficiency inverter.
In the present embodiment, the preset history number of days is set to N days, the inverter is represented by j, and the installed capacity of the inverter for the preset history number of days is represented by Q j The peak generated power P of the inverter is shown pk (j) The rated installed power P of the inverter is shown Forehead (forehead) (j) Representing, based on the installed capacity data of the inverter j, extracting the installed capacity Q of the inverter for a preset historical day j Peak power P of inverter pk (j) And rated installed power P of inverter Forehead (forehead) (j) Then, according to the peak power P of the inverter pk (j) Calculating the average value of peak generated power of the inverter on the preset historical days, wherein the relation is as follows:
wherein,presetting a mean value of peak generated power of historical days for the inverter; ppk (j) is the peak generated power of the inverter; n is the inverter preset history days. Then according to the average value of peak power generation +.>And the installed capacity Q of the inverter j Calculating the power peak installation ratio, and the relation is as follows:
wherein b (j) is the power peak load ratio. Then according to the rated installed power P of the inverter Forehead (forehead) (j) And the installed capacity Q of the inverter j Calculating the rated installed ratio, and the relation is as follows:
wherein a (j) is the rated installed ratio. The local outlier factor (Local Outlier Factor, LOF) algorithm is a density-based outlier detection algorithm with good detection effect and applicability, the outlier degree can be judged according to the density around the data point, the higher local outlier factor value indicates that the data point is more isolated relative to the neighborhood of the data point and is more likely to be an outlier, in the actual application process, the detection sensitivity is controlled according to the k value and the threshold value of the LOF algorithm by specific cases and data sets, and meanwhile, other outlier detection methods can be adopted to perform outlier detection on the inverter configuration information characteristics, such as algorithms of HBOS (histogram outlier), DBSCAN (density clustering) and the like. And (3) performing space outlier detection on the power peak installed ratio b (j) and the rated installed ratio a (j) of all inverters in the same power station by adopting an LOF algorithm, finding out the inverter class with outlier configuration information, outputting the inverter class, submitting the inverter class to related responsible personnel for re-verification, and determining the installed capacity of the low-efficiency inverter which can be effectively diagnosed. The method realizes the verification of the installed capacity of the inverter and eliminates the hidden trouble of unreliable data in the actual application process.
S212, verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data.
Wherein the second check data is the daily power generation amount check data of the inverter different from the first check data. Specifically, the verification basis may be that the daily power generation amount of the inverter is compared with the data of the history record, and if the daily power generation amount of the inverter is greater than or equal to a set threshold value, the daily power generation amount of the inverter is judged to be invalid data; if the current power generation amount of the inverter is smaller than the set threshold value, the current power generation amount of the inverter is judged to be effective data, and the effective data is used as second check data.
In an alternative embodiment, verifying parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data includes:
extracting daily power generation of the inverter according to the daily power generation data of the inverter; calculating the integral sum of the daily power generation power of the inverter according to the daily power generation power of the inverter; extracting the difference characteristics of the daily power integration sum and the daily power generation time scale; and adopting an outlier detection algorithm to perform space outlier detection on the inverters of the same power station, finding out the inverter class with outlier configuration information, and determining second check-up data capable of effectively diagnosing the low-efficiency inverter.
In the present embodiment, the daily power generation power of the inverter is extracted from the daily power generation amount data of the inverter, and the daily power generation power integration sum Σp of the inverter is calculated Direct current Extracting Sigma P Direct current And carrying out space outlier detection on the inverters of the same power station by adopting an outlier detection algorithm according to the characteristic of the difference on the time scale of the daily power generation amount, finding out the inverter class with outlier configuration information, outputting the inverter class, submitting the inverter class to related responsible personnel for re-verification, and determining the daily power generation amount data capable of effectively diagnosing the low-efficiency inverter. The space-time multidimensional verification of the inverter power generation capacity data is realized, and hidden danger of unreliable data in the actual application process is eliminated.
S120, shielding interference factors caused by inefficiency of the non-inverter in the parameter data of the verified inverter based on the equipment fault tree of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter.
S130, according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter.
Optionally, fig. 3 is a flowchart of another method for diagnosing inverter inefficiency provided by an embodiment of the present invention, where the embodiment is a detailed technical feature description of the foregoing embodiment. As shown in fig. 3, the inverter inefficiency diagnosis method includes:
s210, parameter data of the inverter includes installed capacity data of the inverter and daily power generation amount data of the inverter.
S211, verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data.
S212, verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data.
S310, based on an equipment fault tree of the inverter, shielding interference factors due to abnormality of upper and lower equipment of the inverter and interference factors due to abnormality of self shutdown communication, and correcting the equivalent hours of the inverter to obtain the equivalent hours of the inverter.
Specifically, the low efficiency of the inverter may be interfered by the faults of the upper-level or lower-level equipment of the inverter, and may be also influenced by factors such as topography, and the low efficiency caused by the non-inverter is firstly based on the equipment fault tree of the inverter, shielding the interference factors due to the abnormality of the upper-level and lower-level equipment of the inverter and the interference factors due to the abnormality of the shutdown communication of the inverter, and correcting the equivalent hours of the inverter.
An alternative embodiment, based on an equipment fault tree of an inverter, shielding an interference factor due to abnormality of upper and lower equipment of the inverter and an interference factor due to abnormality of self-stopping communication, correcting an equivalent hours of the inverter to obtain the equivalent hours of the inverter, comprising:
according to the parameter data of the verified inverter, obtaining the verified upper and lower level abnormality alarm signals of the inverter, and obtaining the date of the existence of the shutdown communication event and the upper and lower level abnormality of the equipment, wherein the effective equivalent hour number EH of the inverter has the following calculation formula:
wherein ΣP 1 Is the accumulated value of the generated energy of the inverter on non-abnormal date to be diagnosed, sigma P 2 Is equivalent power generation amount of abnormal date of inverter to be diagnosed, ΣP 2 The =ηstation is the installed capacity, station is the number of equivalent hours of the station on the abnormal date, and station is the mean of the number of equivalent hours of the station on the abnormal date; η is the equivalent coefficient and M is the number of days of the historical calculation period.
In this embodiment, firstly, through parameter data verification of the inverter, the verified upper and lower level abnormal alarm signals of the inverter are obtained, including alarm signals of shutdown, abnormal communication, low efficiency and the like, the abnormal alarm signals can be obtained through fault diagnosis of the upper and lower levels of the inverter, the date M2 with the shutdown communication and the upper and lower level abnormality of the equipment is obtained, the effective equivalent hours EH of the inverter is calculated according to a formula (4), wherein the equivalent coefficient eta can be obtained through the ratio of the power station with the non-abnormal date to the equivalent hours of the inverter, and the equivalent coefficient eta can also be obtained through other equivalent modes.
S130, according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter.
Optionally, fig. 4 is a flowchart of another method for diagnosing inverter inefficiency provided by an embodiment of the present invention, and the embodiment is a detailed technical feature description of the foregoing embodiment. As shown in fig. 4, the inverter inefficiency diagnosis method includes:
s210, parameter data of the inverter includes installed capacity data of the inverter and daily power generation amount data of the inverter.
S211, verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data.
S212, verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data.
S310, based on an equipment fault tree of the inverter, shielding interference factors due to abnormality of upper and lower equipment of the inverter and interference factors due to abnormality of self shutdown communication, and correcting the equivalent hours of the inverter to obtain the equivalent hours of the inverter.
S411, dynamically dividing the inverters in the same area based on theoretical start-stop time, and eliminating terrain interference factors to obtain the equivalent hours of the inverter.
Specifically, the dynamic division can be performed according to the historical data and the data obtained on site, the areas can be a first area, a second area and a third area, and the dynamic division is not limited to three areas in practical application and is performed according to specific situations. Based on theoretical start-up and shut-down time, different inverters are divided into a first area, a second area and a third area by combining field obtained data, and the equivalent hours of the inverters in each area are obtained.
S412, clustering the start-up time and the stop time of the days of the inverter history calculation period to obtain the inverter class of the same-orientation area.
Specifically, as the start-up and stop times of the inverters in different directions are basically similar, the start-up and stop time cluster of the days M of the inverter history calculation period is used for obtaining the inverter class in the same-direction area.
S413, dynamically comparing the equivalent hours of the inverter in the same-direction area, and after the equivalent hours of the inverter are in the same-direction area, designating the inverter in the threshold value or continuously and dynamically shifting backward in the diagnosis period to diagnose the inverter as the low-efficiency inverter.
Specifically, the determination of an inefficient inverter is based on inverters that rank back in the same orientation area for an equivalent number of hours, within a specified threshold, or continuously dynamically shift back in rank over a diagnostic period. For example, 10 inverters are arranged in the same-direction area, the inverters are ranked from large to small according to the equivalent hours, and when the inverters are ranked, for example, the inverters are ranked at 8 th, 9 th and 10 th, the corresponding inverters at 8 th, 9 th and 10 th are determined to be low-efficiency inverters; the equivalent hours are within the specified threshold, for example, the specified threshold is 24 hours, and when the equivalent hours of the inverter are less than 24 hours, the corresponding inverter is determined to be an inefficient inverter; the diagnosis period can be set to be 1 hour, the equivalent hour number ranking of the inverter is continuously shifted backwards within 1 hour, for example, the equivalent hour number ranking of a certain inverter is 3 rd when diagnosis starts, the equivalent hour number ranking of the inverter is 6 th along with the change of diagnosis time, then the detection ranking is changed to 8 th, and the corresponding inverter is diagnosed as an inefficient inverter.
Optionally, fig. 5 is a flowchart of another method for diagnosing inverter inefficiency provided by an embodiment of the present invention, where the embodiment is a detailed technical feature description of the foregoing embodiment. As shown in fig. 5, the inverter inefficiency diagnosis method includes:
s210, parameter data of the inverter includes installed capacity data of the inverter and daily power generation amount data of the inverter.
S211, verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data.
S212, verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data; wherein the parameter data of the inverter includes installed capacity data of the inverter and daily power generation amount data of the inverter.
S310, based on an equipment fault tree of the inverter, shielding interference factors due to abnormality of upper and lower equipment of the inverter and interference factors due to abnormality of self shutdown communication, and correcting the equivalent hours of the inverter to obtain the equivalent hours of the inverter.
S411, dynamically dividing the inverters in the same area based on theoretical start-stop time, and eliminating terrain interference factors to obtain the equivalent hours of the inverter.
S412, clustering the start-up time and the stop time of the days of the inverter history calculation period to obtain the inverter class of the same-orientation area.
S413, dynamically comparing the equivalent hours of the inverter in the same-direction area, and after the equivalent hours of the inverter are in the same-direction area, designating the inverter in the threshold value or continuously and dynamically shifting backward in the diagnosis period to diagnose the inverter as the low-efficiency inverter.
S510, performing space-time dimension analysis on alternating voltage, module temperature and negative electrode ground voltage of the low-efficiency inverter to obtain a space-time dimension analysis result.
In particular, the spatio-temporal dimension analysis includes a comparison of temporal and spatial dimensions. The method comprises the steps of measuring alternating current voltage of a low-efficiency inverter by using a voltage measuring device, collecting voltage data and analyzing, and determining that the root of the low-efficiency inverter is unstable because the alternating current voltage deviates from a normal value when some alternating current voltage values are compared with a plurality of collected voltage values and the deviation is large; the module temperature of the low-efficiency inverter is measured by using a temperature acquisition device, such as a temperature sensor, and the normal temperature is 60-80 ℃ in an exemplary way, and when the measured module temperature of the inverter is 100 ℃, the situation that the temperature of the inverter is too high, so that the inverter is low in efficiency is indicated; the voltage measuring device is used for collecting the voltage to the ground of the negative electrode of the inverter, the normal voltage is 24V by way of example, and when the measured voltage to the ground of the negative electrode is 48V, the situation that the inverter is low in efficiency due to the fact that the voltage to the ground of the negative electrode is too high is indicated.
And clustering and differential analysis are carried out on the characteristics of the inverter group samples of the low-efficiency inverter in space, and dynamic comparison is carried out on the differences between the low-efficiency inverter and the inverter group samples by combining with a time period change rule, so that a space-time dimension analysis result is obtained.
Specifically, clustering and differential analysis include classifying data collected by the low-efficiency inverter, visually showing the collected data through a scatter diagram, analyzing the data in the diagram within a certain time period, which may be 2 hours by way of example, and analyzing the data when the data deviate from a concentrated area to determine the cause of the low-efficiency inverter.
S511, determining the root cause of the low-efficiency inverter according to the space-time dimension analysis result.
Specifically, when unbalance or abnormal temperature rise characteristics occur in the module temperature, it is determined that the cause of inefficiency of the inverter is abnormal heat dissipation.
For example, if the collected module temperature data is suddenly high or suddenly low, unstable, or a higher value exists in the module temperature data, it is determined that the cause of the inefficiency of the inverter is abnormal heat dissipation.
When the negative electrode has the characteristics of abnormal difference value between the ground voltage and the direct current voltage, the cause of the inefficiency of the inverter is judged to be insulation abnormality.
For example, when the collected negative electrode voltage to ground is greater than the direct current voltage, it is indicated that the cause of the inefficiency of the inverter is insulation abnormality.
The continuous inefficiency occurs during the diagnostic period, and the cause of the inefficiency of the inverter is determined to be attenuation or heat dissipation.
For example, in a diagnosis period of 12 hours, an inefficiency phenomenon of the inverter continuously occurs, for example, a phenomenon that a module temperature of the inverter is high continuously or a difference value between a negative electrode ground voltage and a direct current voltage is always large continuously, and then it is determined that the cause of the inefficiency of the inverter is attenuation or abnormal heat dissipation. According to the technical scheme, parameter data of the inverter are verified according to acquired installed capacity data of the inverter to obtain first verification data, the parameter data of the inverter are verified according to acquired daily power generation capacity data of the inverter to obtain second verification data, and hidden danger that the data are unreliable in the actual application process is eliminated; then, based on an equipment fault tree of the inverter, shielding interference factors due to abnormality of upper and lower equipment of the inverter and interference factors due to communication abnormality caused by self shutdown of the inverter, correcting the equivalent hours of the inverter, dynamically dividing the inverter in the same area based on theoretical startup and shutdown time, and eliminating terrain interference factors to obtain the equivalent hours of the inverter; clustering the start-up time and the stop time of the days of the historical calculation period of the inverter to obtain the inverter class of the same-orientation region, dynamically comparing the equivalent hours of the inverter in the same-orientation region, designating the inverter in the threshold value or continuously and dynamically moving backwards and ranking in the diagnosis period after the equivalent hours of the inverter are in the same-orientation region, diagnosing the inverter as an inefficient inverter, shielding multiple influencing factors such as upper and lower faults and topography of the inverter based on corrected data, and realizing the elimination of the inefficient result caused by the non-inverter; and finally, carrying out space-time comparison analysis on the low-efficiency inverter according to parameter characteristics, giving out root cause of the low-efficiency inverter, accurately positioning the low-efficiency inverter, and effectively guiding operation and maintenance.
Fig. 6 is a schematic structural diagram of an inverter inefficiency diagnosis device according to an embodiment of the present invention. As shown in fig. 6, the inverter inefficiency diagnosis device includes:
the acquiring and checking module 610 is configured to acquire parameter data of the inverter, and check the parameter data of the inverter.
The calculation module 620 is configured to mask an interference factor caused by inefficiency of the non-inverter in the parameter data of the verified inverter based on the equipment fault tree of the inverter, correct the parameter data of the inverter, and obtain an equivalent hours of the inverter.
The determining module 630 is configured to determine an inefficient inverter according to the equivalent hours of the inverter, and the equivalent hours of the inverter are compared dynamically in the sub-region.
According to the technical scheme, the parameter data of the inverter are obtained through the application of the obtaining and checking module, the parameter data of the inverter are checked, and hidden danger that the data are unreliable in the actual application process is eliminated; the method comprises the steps of shielding interference factors caused by inefficiency of a non-inverter in parameter data of an inverter after verification based on an equipment fault tree of the inverter, correcting the parameter data of the inverter to obtain equivalent hours of the inverter, and eliminating an inefficiency result caused by the non-inverter; and a determining module is applied to dynamically compare the equivalent hours of the inverter in different areas to determine the low-efficiency inverter, accurately position the low-efficiency inverter and effectively guide operation and maintenance.
The inverter low-efficiency diagnosis device provided by the embodiment of the invention can execute the inverter low-efficiency diagnosis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (11)
1. An inverter inefficiency diagnosis method, characterized by comprising:
acquiring parameter data of an inverter, and checking the parameter data of the inverter; based on the equipment fault tree of the inverter, shielding interference factors caused by inefficiency of the non-inverter in the verified parameter data of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter;
and according to the equivalent hours of the inverter, comparing the equivalent hours of the inverter in a regional dynamic mode, and determining the low-efficiency inverter.
2. The method of claim 1, wherein the obtaining and verifying the parameter data of the inverter comprises:
the parameter data of the inverter comprises installed capacity data of the inverter and daily power generation capacity data of the inverter;
according to the installed capacity data of the inverter, verifying the parameter data of the inverter to obtain first verification data;
and verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data.
3. The method according to claim 2, wherein the verifying the parameter data of the inverter according to the installed capacity data of the inverter to obtain first verification data includes:
according to the installed capacity data of the inverter, extracting the installed capacity of the inverter with preset historical days, the peak power generation power of the inverter and the rated installed power of the inverter;
calculating the average value of the peak power generation power of the inverter in preset historical days according to the peak power generation power of the inverter;
calculating a power peak installed ratio according to the ratio of the average value of the peak generated power and the installed capacity of the inverter;
calculating a rated installed ratio according to the ratio of the rated installed power of the inverter and the installed capacity of the inverter;
and adopting a local outlier factor algorithm to perform space outlier detection on the power peak installed ratios and the rated installed ratios of all the inverters in the same power station, finding out the inverter class with outlier configuration information, and determining first check data capable of effectively diagnosing the low-efficiency inverter.
4. The method according to claim 2, wherein the verifying the parameter data of the inverter according to the daily power generation amount data of the inverter to obtain second verification data includes:
extracting daily power generation power of the inverter according to the daily power generation data of the inverter;
calculating a daily power generation power integration sum of the inverter according to the daily power generation power of the inverter;
extracting the difference characteristics of the daily power integration sum and the daily power generation amount time scale;
and adopting an outlier detection algorithm to perform space outlier detection on the inverters of the same power station, finding out the inverter class with outlier configuration information, and determining second check-up data capable of effectively diagnosing the low-efficiency inverter.
5. The method according to claim 1, wherein the step of screening interference factors, which are not caused by inefficiency of the inverter itself, in the verified parameter data of the inverter based on the equipment fault tree of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter includes:
based on the equipment fault tree of the inverter, shielding the interference factors due to the abnormality of upper and lower equipment of the inverter and the interference factors due to the abnormality of self shutdown communication, and correcting the equivalent hours of the inverter to obtain the equivalent hours of the inverter.
6. The method of claim 5, wherein the step of correcting the inverter equivalent hours based on the equipment fault tree of the inverter to shield the interference factor due to the abnormality of the upper and lower equipment of the inverter and the interference factor due to the abnormality of the own shutdown communication, to obtain the inverter equivalent hours, comprises:
according to the verified parameter data of the inverter, obtaining verified upper and lower level abnormality alarm signals of the inverter, and obtaining the date of the existence of the shutdown communication event and the upper and lower level abnormality of the equipment, wherein the effective equivalent hour number EH of the inverter has the following calculation formula:
wherein ΣP 1 Is the accumulated value of the generated energy of the inverter on non-abnormal date to be diagnosed, sigma P 2 Is equivalent power generation amount of abnormal date of inverter to be diagnosed, ΣP 2 The =ηstation is the installed capacity, station is the number of equivalent hours of the station on the abnormal date, and station is the mean of the number of equivalent hours of the station on the abnormal date; η is the equivalent coefficient and M is the number of days of the historical calculation period.
7. The method of claim 1, wherein the determining an inefficient inverter based on the number of inverter equivalent hours, the zoned dynamic comparison of inverter equivalent hours, comprises:
dynamically dividing the inverter in the same area based on theoretical start-stop time, and eliminating terrain interference factors to obtain equivalent hours of the inverter;
clustering the start-up time and the stop time of the days of the historical calculation period of the inverter to obtain inverter classes in the same-orientation area;
and dynamically comparing the equivalent hours of the inverters in the subareas, and after the equivalent hours of the inverters are in the same-orientation area, designating the inverters in the threshold value or continuously and dynamically shifting the inverters backwards in the diagnosis period, so as to diagnose the inverters as low-efficiency inverters.
8. The method of claim 1, further comprising, after said determining an inefficient inverter based on said inverter equivalent hours, zoning dynamically versus inverter equivalent hours:
performing space-time dimension analysis on alternating voltage, module temperature and negative electrode ground voltage of the low-efficiency inverter to obtain a space-time dimension analysis result;
and determining the root cause of the low-efficiency inverter according to the space-time dimension analysis result.
9. The method of claim 8, wherein performing a space-time dimension analysis on the ac voltage, the module temperature, and the negative voltage to ground of the low-efficiency inverter to obtain a space-time dimension analysis result comprises:
and clustering and differential analysis are carried out on the characteristics of the inverter group samples of the low-efficiency inverter in space, and dynamic comparison is carried out on the differences between the low-efficiency inverter and the inverter group samples by combining with a time period change rule, so that a space-time dimension analysis result is obtained.
10. The method of claim 8, wherein determining the root cause of the inefficient inverter based on the results of the space-time dimensional analysis comprises:
when unbalance or abnormal temperature rise characteristics of the module temperature occur, judging that the low efficiency reason of the inverter is abnormal heat dissipation;
when the negative electrode grounding voltage and the direct current voltage have the characteristics of abnormal difference value and the like, judging that the low efficiency reason of the inverter is insulation abnormality;
and (3) continuously and inefficiently generating in a diagnosis period, and judging that the inefficiency cause of the inverter is attenuation or heat dissipation.
11. An inverter inefficiency diagnosis device, characterized by comprising:
the acquisition module is used for acquiring the parameter data of the inverter;
the verification module is used for verifying the parameter data of the inverter according to the parameter data of the inverter;
the calculation module is used for shielding interference factors caused by inefficiency of the non-inverter in the verified parameter data of the inverter based on the equipment fault tree of the inverter, and correcting the parameter data of the inverter to obtain the equivalent hours of the inverter;
and the determining module is used for determining the low-efficiency inverter by comparing the equivalent hours of the inverter in a regional dynamic manner according to the equivalent hours of the inverter.
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