CN107733357A - The fault detection algorithm of battery panel in a kind of large-sized photovoltaic power station - Google Patents
The fault detection algorithm of battery panel in a kind of large-sized photovoltaic power station Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 42
- 230000032683 aging Effects 0.000 claims abstract description 37
- 238000005286 illumination Methods 0.000 claims abstract description 15
- 239000000428 dust Substances 0.000 claims abstract description 14
- 238000013517 stratification Methods 0.000 claims abstract description 13
- 230000003044 adaptive effect Effects 0.000 claims abstract description 8
- 238000010248 power generation Methods 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 34
- 238000012360 testing method Methods 0.000 claims description 30
- 230000002159 abnormal effect Effects 0.000 claims description 21
- 238000005259 measurement Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000007774 longterm Effects 0.000 claims description 2
- 238000012806 monitoring device Methods 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 230000000903 blocking effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
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- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 210000003850 cellular structure Anatomy 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention belongs to technical field of photovoltaic power generation, it is related to a kind of fault detection algorithm of battery panel in large-sized photovoltaic power station, the present invention directly sends manipulation order using host computer, by the electric current of every branch road of the moment and the voltage of every piece of electroplax of acquisition, and ambient parameter includes intensity of illumination and temperature, calculated after input data, wherein using the lateral comparison algorithm to the positioning of single failure panel, the history comparison algorithm judged power station entirety aging, and the more new algorithm of the standard value as control, and the individual failure record sheet using aided algorithm, history average record sheet, and standard value look-up table, individual failure positioning is carried out simultaneously with overall aging/dust stratification to judge.Present invention energy on-line real time monitoring, it is easily achieved, is avoided that the erroneous judgement that soft error is brought, and standard value look-up table is built by the way of adaptive, adapts to different geographical and environmental condition, thus the accuracy with stronger universality and Geng Gao.
Description
Technical field
The invention belongs to technical field of photovoltaic power generation, the fault detect for being related to battery panel in a kind of large-sized photovoltaic power station is calculated
A kind of method that electroplax fault detect positioning judges with overall aging or dust stratification in method, more particularly to large-sized photovoltaic array.
Background technology
With the continuous development of new energy technology, the application of solar energy power generating is more and more extensive.Prior art
The core component that photovoltaic array is photovoltaic generating system is disclosed, it is by some pieces of series-parallel photovoltaic battery panel groups
Into.Data shows that photovoltaic plant common at present is formed by the large-scale photovoltaic array of outdoor placement, by environmental factor shadow
Ring, very likely there is the situation of individual failure, aging or dust stratification in photovoltaic panel, due to photovoltaic panel substantial amounts Chang Wufa and
When detection be out of order, it is impossible to replaced in time, have a strong impact on the generating efficiency of photovoltaic plant.
Based on above-mentioned present situation, those skilled in the art use the fault detect means of some photovoltaic panels, by gathering photovoltaic
The parameters such as the voltage of panel, electric current are detected, and still, practice display, are collected the data of panel parameter, can not directly be obtained
The conclusion for the situation that is out of order, also need to carry out rationally and effectively diagnostic analysis to data, accurate fault location and event can be obtained
Hinder type.Remained in the photovoltaic generating system fault detection algorithm of prior art in following limitations, such as：One of which classification
In technology, (document is judged by the method for current differential<Solar battery array Research on fault diagnosis method>, the 14th complete
State's monitoring of equipment and diagnosis academic conference, 2010), found out by filtering out the excessive adjacent column of current differential containing faulty group
The branch road of part, and the magnitude of voltage of each photovoltaic module of the branch road is analyzed, position the photovoltaic cell component that is out of order；The algorithm
Can be by measuring realization in real time, and only need to measure voltage and current information, amount of calculation is small, easily realizes, still, it is still deposited
In problem：Soft error can not effectively be judged, to temporarily occurring easily producing erroneous judgement situations such as blocking, and wherein
Lateral comparison between carry out branch road, lacks analysis of the combining environmental parameter to power station overall work situation, it is impossible to reflect power station
Situations such as overall aging or dust stratification；In the technology of wherein another classification, it is trained using given data, obtains partial data
Storehouse, then the algorithm compared with measurement data, Chinese patent (application number 201410449777.6) disclose a kind of using fuzzy poly-
The method that class algorithm carries out breakdown judge, is characterized in that first passing through extensive work early stage establishes fault knowledge storehouse, regathers photovoltaic
Power failure warning message by comparing degree of membership, and selects degree of membership highest fault type conduct as sample to be compared
The fault type that sample to be tested represents, the problem of algorithm is present be：Need to judge that a certain group of data are fault data in advance,
Degree of membership algorithm could be used, the direct failure judgements of electric parameter such as the electric current easily tested, voltage can not be passed through；And the calculation
Religious services or rituals first needs substantial amounts of training data, is used to compare to establish a fault knowledge storehouse, because failure mode is various, failure
Emulate complex, ample resources will be consumed；Also, because the collection in fault knowledge storehouse is to limit to, and fault knowledge storehouse
Renewal needs long time, thus is difficult in adapt to the situation of various geographical environments, after geographical environment changes, fault knowledge storehouse
Content the problem of facing inaccuracy；Also in the technology of classification, the algorithm of breakdown judge is carried out using neural network model,
Join using electric parameters such as maximum power point electric current, maximum power point voltage, short circuit current, open-circuit voltages as the input of algorithm
Number, fault model is obtained by BP neural network and exported, so as to failure judgement type (document《A kind of photovoltaic module of four parameters
On-line fault diagnosis method》, Proceedings of the CSEE, on May 5th, 2014, the 13rd phase of volume 34), (document《Based on BP god
Diagnosing failure of photovoltaic array research through network》, electric power system protection and control, on August 16th, 2013, the 16th phase of volume 41),
The method directly can judge fault type by electric parameter, but be the problem of exist：Algorithm itself is complex, amount of calculation
Greatly, and a large amount of fault datas are needed also exist for it is trained；Can not be real with open-circuit voltage additionally as the short circuit current of algorithm input
When measurement, it is necessary to make photovoltaic array temporarily cease work, influence power station generating efficiency, etc..
In view of the limitation of prior art, present inventor intends providing a kind of online fast real-time monitoring of energy, is easy to
Realize, can carry out simultaneously individual failure positioning judge with overall aging and adapt to different geographical and environmental condition with stronger
The photovoltaic array fault detection algorithm of universality and more high accuracy.
The content of the invention
A kind of the object of the present invention is to the defects of existing for prior art, there is provided battery panel in large-sized photovoltaic power station
Fault detection algorithm, more particularly to electroplax fault detect positioning judges with overall aging or dust stratification in a kind of large-sized photovoltaic array
Method.The inventive method energy on-line real time monitoring, be easily achieved, combining environmental information and electric parameter at the same carry out it is indivedual therefore
The photovoltaic array fault detect that barrier positioning judges with overall aging.
Specifically, the present invention a kind of large-sized photovoltaic power station in battery panel fault detection algorithm, it is characterised in that its
Including manipulation order directly being sent using host computer, by the electric current of every branch road of the moment of collecting device acquisition and every piece
The voltage of electroplax, and the ambient parameter (including intensity of illumination and temperature) that enviromental monitoring equipment obtains, enter as input data
Row calculates, and realizes and carries out the photovoltaic array fault detect that individual failure positioning judges with overall aging simultaneously；Wherein use：To list
The lateral comparison algorithm of individual failure panel positioning, the history comparison algorithm judged power station entirety aging, and as control
Standard value more new algorithm, and the individual failure record sheet using aided algorithm, history average record sheet, and standard value are searched
Table.
In the present invention, the photovoltaic array is the group string that multiple photovoltaic electroplaxs are formed, and additionally strong equipped with measurable illumination
The ambient parameter monitoring device of degree and temperature；
In the present invention, the host computer generally use can directly send the computer of manipulation order；
Wherein, the correlation table that detection algorithm is preserved in host computer：
1) standard value look-up table once can be changed：For with surveyed data comparison, to judge overall aging or dust stratification feelings
Condition；
The standard value look-up table includes (a) light intensity-current standard value look-up table, for recording various intensity of illumination situations
Current standard value, (b) temperature-voltage standard value look-up table, records corresponding voltage standard under various temperature conditionss corresponding to lower
Value；Wherein, light intensity-current standard value look-up table, temperature-voltage standard value look-up table, preserve initially set in an initial condition
The standard value put, wherein the also corresponding renewal flag bit of every group of data pair, on the premise of known light intensity value, obtaining one
Individual standard current value, the average current of each bar branch road, is contrasted with the measurement average value of electric current during as power station normal power generation,
Renewal flag bit indicates its corresponding data to whether be in initial state, can be by when certain organizes data in original state
Renewal, after being updated once, its corresponding flag bit is labeled so that standard value is determined；
2) individual failure record sheet：The number occurred extremely for recording certain block electroplax curtage, to judge certain block
Whether electroplax breaks down, and it includes：
(a) position of failure electroplax, can be represented with numbering；
(b) failure sign number, there is abnormal number to record the electroplax curtage,
(c) electric current of the electroplax, magnitude of voltage size when breaking down；
(d) the failure sign final updating time, represented with testing sequence number, for screening out the soft error being likely to occur；
In embodiments of the invention, described individual failure record sheet includes：
The position of abnormal battery panel, it can be represented with one-dimensional numbering, it is also possible to which two-dimensional coordinate represents；
The Reflector of abnormal battery panel, record the battery panel and be detected abnormal number, for determining the face
Whether plate breaks down；
Electric current, electric voltage exception value, it is detected electric current and magnitude of voltage during exception every time for the electroplax, may includes multigroup
Data；The final updating time, when being detected abnormal for the electroplax the last time, corresponding test sequence number is soft for excluding
The Reflector of mistake resets flow；
In embodiments of the invention, described Reflector resets flow, can be periodically to every in individual failure record sheet
The Reflector of one group of failure logging carries out examination with the final updating time, by contrasting last more row time and current time,
The long-term not increased failure logging of Reflector is automatically deleted；
3) history average record sheet：Record every time measurement when full power station average current and voltage, illumination during test is strong
Degree and temperature, to analyze the overall variation trend of power station electricity generation situation, judge whether situations such as aging and dust stratification occur, wrap
Include：
(a) branch current average, is the branch current to each fault-free group string in whole power station, striked average electricity
Stream；
(b) full electroplax average voltage, is the electroplax to all fault-frees in whole power station sign, striked average voltage；
(c) sequence number is tested, to represent the time tested every time；
In embodiments of the invention, history average record sheet includes：
Electric current ensemble average value, i.e., the average value of obtained each branch current is measured every time；
Voltage ensemble average value, i.e., the average value of obtained each battery panel voltage is measured every time；
Intensity of illumination, temperature value, the i.e. illumination intensity value and temperature value of measurement record every time, can be as ambient parameter
Corresponding voltage, current standard value are found in standard value look-up table；
Sequence number is tested, for representing the time sequencing of each test, wherein, add 1 to it automatically during test every time, use is just whole
Number reflects the precedence relationship of each secondary test result.
In the detection algorithm of the present invention, main part includes lateral comparison algorithm, standard value more new algorithm, history and compares calculation
Method (overall aging judgement)；
Wherein, lateral comparison algorithm contrasts each series arm size of current, and the abnormal group string of current value is further extracted
Magnitude of voltage is compared again, and the abnormal photovoltaic module position of magnitude of voltage is stored in the individual failure record sheet, if
The existing failure logging of the position in table, then increase the Reflector of the electroplax, when Reflector reaches it is a certain number of when, to
Outer interface shows that the battery panel is likely to occur failure and reports its position, while shows Current Voltage fault data for ginseng
Examine；
In the lateral comparison algorithm, individual failure record sheet is automatically deleted according to the final updating time of deposited element
Reflector unchanged electroplax information for a long time, prevent from judging by accident as caused by temporarily blocking and wait soft error；
In embodiments of the invention, the lateral comparison algorithm of single failure panel position includes：
With the algorithm input parameter for measuring each bar branch current at moment, each piece of battery panel voltage is formed；
Transverse current comparison step, contrast the difference of each bar branch current and average value；
One current ratio coefficient set in advance, when the ratio between a certain branch current difference and average value are more than the ratio
During coefficient, it is believed that the branch road exists abnormal；
Lateral voltage comparison step, for abnormal branch road, the difference of each piece of panel voltage of contrast and average value；
One voltage ratio coefficient set in advance, when the ratio between a certain panel voltage difference and average value are more than the ratio
During coefficient, it is believed that the panel exists abnormal；
With the association process of individual failure record sheet, when detecting a certain panel exception, it is necessary to individual failure record
Table carries out corresponding modification to preserve the failure logging of the electroplax；
One fault index threshold set in advance, when Reflector corresponding to certain block battery panel exceedes the threshold value,
Panel failure is considered as, and outwards exports the fault message of the panel.
The history comparison algorithm (overall aging judgement) excludes existing in individual failure record sheet in each measurement
Battery panel, average voltage level is asked for the battery panel of normal work, current average is asked for the branch road of normal work,
And it is stored in simultaneously in history average record sheet with ambient parameter；When data storage reaches certain amount, into overall aging
Judge, in electric current-standard of luminous intensity value look-up table electricity corresponding with finding each measurement record in voltage-temperature standard value look-up table
Stream, standard voltage value, and calculate the difference of measurement average and standard value；The song on the time is fitted for counted counted difference
Line, by analyze its variation tendency judge its whether aging；In embodiments of the invention, history comparison algorithm includes：
With the ambient parameter for measuring the intensity of illumination at moment, temperature value is formed, with each bar branch current, each piece of panel voltage
The electric parameter of composition, the input parameter as algorithm；
With the association process of individual failure record sheet, by retrieving the failure logging recorded in individual failure record sheet,
Electric current and magnitude of voltage abnormal in the electric parameter of input are excluded, to increase the accuracy of algorithm；
Electric current, voltage entirety average value processing, the current value of all branch roads is merged with the magnitude of voltage of all panels, used
The whole result that the average value of electric current and voltage measures as this；
With the association process of history average record sheet, obtained whole result will be measured every time and is stored in history average record
In table；
With the association process of standard value look-up table, search condition is used as by light intensity and temperature value, in standard value look-up table
In obtain electric current and standard voltage value, be compared with measured value；
Curve fitting process, ordinate is used as abscissa, electric current (voltage) and the difference of standard value to test sequence number
Curve is fitted, represents overall aging (or dust stratification) trend.
The standard value more new algorithm performs after the data volume in history average record sheet is reached into certain scale；If survey
Same light intensity value occurrence number reaches given threshold in examination, then is found in light intensity-current standard value look-up table to should light intensity
The point of value, if it, which updates flag bit, shows that the point data not yet updates, current measurement value corresponding to the light intensity value is averaged, replaced
The current value of the point in former form is changed, afterwards dirty bit, represent that the point data does not allow to update again.The reality of the present invention
Apply in example, it is different according to power station local environment and used equipment, electric current, voltage are adaptively updated in test process
The algorithm of standard value, it includes：
The characteristic disposably updated, i.e. each group of standard value can only update once after algorithm operation, no longer change afterwards；
With the association process of history average record sheet, adaptive updates stream is opened when data reach certain scale in table
Journey；
One electric current renewal threshold value set in advance, when light intensity value identical record number is more than in history average record sheet
During the threshold value, the renewal of this group of standard value is carried out；
One voltage renewal threshold value set in advance, when temperature value identical record number is more than in history average record sheet
During the threshold value, the renewal of this group of standard value is carried out；
With the association process of standard value look-up table, all standard values are stored in standard value look-up table, standard value renewal
Algorithm directly will be updated to the data of the table.
In the present invention, the renewal to the more new technological process and light intensity-current standard value look-up table of temperature-voltage standard lookup table
Flow is similar, i.e., after certain number occurs in same temperature value, the corresponding point for changing temperature value is found in a lookup table, if it updates
Flag bit shows that the point data does not update also, after voltage measuring value corresponding to the temperature value is averaged, replaces in former form
The magnitude of voltage of the point, it will no longer change the point data afterwards.
In the present invention, the standard value more new algorithm makes described two standard value look-up tables have more adaptivity, does not adopt
With fixed data, for different environment, equipment, energy self-recision, increases power station overall operation state while detection
The precision of analysis.
The output result of the photovoltaic array fault detection algorithm of the present invention includes：
The position of the photovoltaic panel to break down, and its corresponding electric current, voltage condition when breaking down；
The aging of photovoltaic plant entirety or dust stratification state analysis result, it include recent work efficiency curve, overall electric current and
Voltage, and corresponding ambient parameter situation；
And output will be provided to display end, it includes individual failure unit information, overall aging conditions, and generating quantitative change
Change the information such as curve, meanwhile, photovoltaic array fault detection algorithm of the invention reduces mistake for soft error, energy accurate judgement
Alarm.
The present invention has carried out actually detected, as a result shows, photovoltaic array fault detection algorithm of the invention can be real-time online
Monitor, be easily achieved, individual failure positioning and overall aging/dust stratification judgement can be carried out simultaneously, be avoided that the mistake that soft error is brought
Sentence, and standard value look-up table is built by the way of adaptive, this algorithm is adapted to different geographical and environmental condition, thus
Accuracy with stronger universality and Geng Gao.
In order to make it easy to understand, a kind of large-sized photovoltaic array event of the specific drawings and examples to the present invention will be passed through below
Barrier detection method is described in detail.It is important to note that instantiation and accompanying drawing are merely to explanation, it is clear that ability
The those of ordinary skill in domain can according to illustrating herein, the present invention is made within the scope of the invention various amendments and
Change, these modifications and variations are also included in the scope of the present invention.In addition, the present invention refer to open source literature, these documents are
In order to more clearly describe the present invention, their entire contents are included to be referred to herein, just look like their full text
Repeated description herein is excessively.
Brief description of the drawings
The photovoltaic fault detection algorithm Overall data structure figure of Fig. 1 present invention.
Single panel fault detection algorithm flow chart in the photovoltaic fault detection algorithm of Fig. 2 present invention.
The algorithm flow for excluding soft error is reset in the single panel fault detection algorithm of Fig. 3 present invention using flag bit
Figure.
The algorithm flow chart that overall aging conditions are judged in the photovoltaic fault detection algorithm of Fig. 4 present invention.
The adaptive updates flow chart of the photovoltaic fault detection algorithm Plays data look-up table of Fig. 5 present invention.
Specific implementation method
Embodiment 1
Fig. 1 is photovoltaic fault detection algorithm Overall data structure figure proposed by the present invention, including the inspection of system output
Commencing signal is surveyed, the signal is automatically sent to data acquisition equipment according to the default testing time, prompts collecting device to start to adopt
Collect and measured electric current, voltage, intensity of illumination and temperature information are sent back into processing system；
Also include the input data 101 sent back by collecting device, by the current value of serial input, magnitude of voltage, and survey
The intensity of illumination and temperature for trying the moment are formed, because required electrical parameter includes the operating current of all serial branch and all photovoltaics
The operating voltage of electroplax, data volume is larger, therefore uses serial input mode, and the data inputted will initially enter decision system；
Also include three tables of data, by individual failure record sheet 112, history average record sheet 113, standard value look-up table
111 composition, these tables of data by persistence in processing system, the criterion as comparison algorithm, wherein standard value tables of data
Also include light intensity-current standard lookup table 114 and temperature-voltage standard lookup table 115, this two tables storage size is fixed, and light
To no longer it change after setting with temperature value by force, Reflector record sheet is chain structure, and often producing one group of fault data will
Directly added after former table, to save memory space, history average record sheet can accommodate data volume and fix, when test data set number
The data measured earliest are deleted during more than record sheet capacity, and new data is inserted into correspondence position, basic guarantee test sequence number
Continuity,
Also include the algorithm main body 102 for updating Algorithm constitution with standard value by lateral comparison algorithm, history comparison algorithm.Its
Middle lateral comparison algorithm does not need ambient parameter information, it is only necessary to each branch current is contrasted, finds current value exception
Branch road, then the magnitude of voltage of each electroplax in branch road is contrasted, the abnormal electroplax of magnitude of voltage is found out, and the addition of failure situation is existed
In individual failure record sheet 112, history comparison algorithm to measuring obtained all branch current averageds every time, to all
Electroplax voltage averaged, and intensity of illumination and temperature when recording test, as one group of test data, after addition test sequence number
Store to history average record sheet 113, after data volume reaches certain scale in the table, history comparison algorithm will extract number in table
According to, current standard value corresponding to identical light intensity, mutually synthermal corresponding standard voltage value are found in standard value tables of data 111,
After carrying out difference operation, changing rule of the analysis each group of data according to time sequencing, judge whether overall aging or dust stratification occur
The problems such as,
Also include to the outside output data 103 for showing and providing, by individual failure unit information, overall aging conditions, hair
Electricity is formed with corresponding ambient parameter information, and wherein individual failure unit information includes electroplax position and the work that may be broken down
For the Current Voltage of judgment basis, produced by lateral comparison algorithm.Overall aging conditions provide whether point of aging or dust stratification
Analysis, and using generated energy change curve as basis for estimation, produced by history comparison algorithm.
Embodiment 2
Fig. 2 is single panel fault detect flow chart in single measurement of the present invention.
First, algorithm needs to obtain the magnitude of voltage (201) of the current value and every piece of electroplax of all test branch roads；
The average value of all branch currents is calculated, then the current value of every branch road and average value work is poor, obtain every branch
The difference of road electric current and average current (202)；
Using the difference as the criterion of fault branch, if a certain branch current exceedes average current certain percentage (ratio
Value is set in advance), i.e., difference is excessive, then it is assumed that may have electroplax failure in the branch road, and read under the entrance of electroplax voltage
The judgement (203) of one step, otherwise returns to (202), and next branch road is calculated；
For a certain suspicious branch road, calculate the average of each electroplax voltage on the branch road, then by the magnitude of voltage of each electroplax with
It is poor that average value is made, and obtains the difference (205) of every piece of electroplax voltage and average voltage；
Criterion using the difference as failure electroplax, if a certain branch voltage exceedes average voltage certain percentage (ratio
Value is set in advance), i.e., difference is excessive, then it is assumed that the block electroplax is likely to occur failure (206), otherwise returns to (204), to next piece
Electroplax is calculated；
The electroplax information is searched in individual failure record sheet 112, that is, judges whether the electroplax has been logged individual failure
Record sheet：If the electroplax has been labeled, 1 is added to its fault flag, the electric current and magnitude of voltage of electroplax when recording this time measurement
As failure criterion, and by the use of this measurement test sequence number be used as renewal time；If not being labeled, by the electroplax information
Added to individual failure record sheet 112, including its positional information, electric current, magnitude of voltage when this is measured, and renewal time
(test sequence number), and make Reflector be equal to 1 (205)；
If after above-mentioned processing, the block electroplax Reflector, which is more than, sets threshold value, then is defined as the electroplax that event may occur
The electroplax of barrier, exports the fault message of the electroplax to display end, including the electroplax position and electric current, electricity when measuring failure every time
Pressure value, prompt staff to carry out hand inspection (206) in time, otherwise return to (204), next piece of electroplax is calculated；
After all branch roads after (202) to the detection process of (206), terminate a lateral comparison (207).
Embodiment 3
Fig. 3 for it is artificial change failure electroplax after, or deleted from individual failure record sheet 112 for soft error, certain block electroplax
The flow chart removed, (301) to (306) reset to change the Reflector after electroplax, and (311) to (314) are the mark after soft error
Will position is reset；
After electroplax is changed, it is necessary to input changed after electroplax positional information (301)；
To improve efficiency, extra testing procedure is avoided, next subsystem automatic detection will be waited to start, is normally being examined
The working condition (302) of electroplax has been changed in detection simultaneously in flow gauge；
After detection algorithm starts, the single panel fault detect described by embodiment 2 will be entered, after sensing can basis
Testing result renewal individual failure record sheet 112 (303)；
After lateral comparison algorithm terminates, the failure changed corresponding to electroplax position is searched in individual failure record sheet
Data (304)；
Now, if Reflector corresponding to the electroplax is still identical with before replacing electroplax, then it represents that change the position after electroplax
It is no longer abnormal to locate Current Voltage, it is believed that electroplax is updated successfully, and the failure corresponding to by the position in individual failure record sheet 112
Data dump (305)；
If Reflector corresponding to the electroplax continues to increase, then it represents that still faulty presence is, it is necessary to further confirm that at this
With investigation, then system will the opening position be still faulty (306) by output prompting；
The interval for resetting default regular Reflector before system worked well, when the integral multiple of the test serial number value
When, after normal detection algorithm terminates, system will additionally enter flag bit and reset flow (311)；
To every group of fault data in individual failure record sheet 112, (test when last time updates of its final updating time is calculated
Sequence number) and this detection test sequence number difference (312)；
If sequence number difference is more than the threshold value of preset difference value, show the failure identification of this group of fault data does not increase for a long time,
May be only soft error caused by partial occlusion, shade etc., not electroplax breaks down, and will represent the fault data of the electroplax
(314) are removed from individual failure record sheet 112.
Embodiment 4
Fig. 4 is overall aging judgement, the i.e. flow chart of history comparison algorithm.
The algorithm includes the preprocessing part that data are obtained from collecting device, due in standard value look-up table 111
Light intensity and temperature value are more discrete, and the light intensity value and temperature value obtained from enviromental monitoring equipment needs to carry out approximate processing, makes ring
Border parameter is mutually agreed with (401) with table store data inside；
Because overall aging judges electric current and voltage parameter based on all electroplaxs in power station, the electroplax of individual failure is because of its electricity
Parameter differs larger with normal operating conditions, may produce considerable influence to the result integrally judged, therefore first according to indivedual
The data stored in failure logging table 112, the electroplax of possible breakdown found in closely measuring several times is obtained, by it from history ratio
Compared with being excluded in the input data of algorithm, for the branch road of other normal works, its average current value is asked for, to all normal works
Electroplax, ask for its average voltage (402)；
This time is tested to obtained average current and average voltage, and pretreated light intensity and temperature value are as one
Group data, after this test sequence number is added, in deposit history average record sheet 113 (403)；
Due to needing the change to power station overall work situation to be analyzed, it is necessary to which the data volume of certain scale could be carried out
Handle in next step, therefore judge whether already present valid data are more than preset value (404) in history average record sheet；
If data volume carries out history comparison algorithm enough, to each group of data in history average record sheet 113, in light
Current standard value corresponding to identical light intensity value is searched in by force-current standard look-up table, is searched in temperature-voltage standard lookup table
Standard voltage value (405) corresponding to mutually synthermal；
It is poor that the electric current average of this group of data in history average record sheet 113 and the current standard value searched are made, and obtains
Current differential, it is poor that average voltage and the standard voltage value searched are made, and obtains voltage difference, and one as overall aging conditions
Group criterion (406)；
After all obtaining one group of electric current, voltage difference to every group of data in history average record sheet 113, to test sequence number (table
Show the time) it is abscissa, current differential-time and voltage difference-time graph (407) are fitted respectively；
The situation that above-mentioned curve reflection electric current, the degree of voltage deviation standard value change over time, can be divided by the curve
The overall aging conditions in power station are separated out, if than finding that curve is in positive ascendant trend, then obvious power station whole work efficiency reduces,
Overall aging or dust stratification are likely to occur, it is necessary to check and clear up in time.What the curve binding analysis that algorithm most fits at last went out
Possible situation is exported to outside and shown, in order to which administrative staff more intuitively understand the working condition (408) in power station.
Embodiment 5
Fig. 5 show the adaptive updates flow of standard value look-up table 111.To sentence the overall aging described in embodiment 4
Disconnected to implement as early as possible, the table has primary data before system operation, and primary data table can be used directly and carry out history comparison
Algorithm.Because primary data is based on obtained by priori and practical experience, in practice, due to power station condition of work not
Together, the primary standard value may slightly have gap with actual standard value, more accurate, it is necessary to using adaptive to judge overall aging
The standard value answered, constantly improve standard value look-up table 111.
Standard scale realizes its adaptivity by providing more new logo for each group of data.
The data in history average record sheet 113 are waited to reach certain scale (500) first；
It is shown to the more new technological process such as (501) to (506) of light intensity-current standard lookup table：
Each group of data in average record sheet is ranked up by light intensity value, it is therefore an objective to be stored in the data of identical light intensity value
(501) together；
Order traversal reduced data, if finding, the data with a certain identical light intensity value reach certain amount (502),
Point (503) corresponding to the light intensity value are then found in light intensity-current standard lookup table；
The more new logo (more new logo is 1 when system just comes into operation) of the position is read, if being identified as 1, then it represents that
The point data is still primary data, can be updated (504)；
All current values corresponding to the light intensity value are extracted in ordering history mean data, obtain its average, with
Original current value (505) in the average alternate standard look-up table；
The renewal that the point is changed in light intensity-current standard lookup table is identified as 0, represents that the point data has been subjected to adaptively
Processing, it is impossible to be modified again (506).
It is similar with above-mentioned flow to the more new technological process of temperature-voltage standard lookup table, such as shown in (511) to (516)：
Each group of data in average record sheet is ranked up by temperature value, it is therefore an objective to be stored in the data of identical temperature value
(511) together；
Order traversal reduced data, if finding, the data with a certain identical temperature value reach certain amount (512),
Point (513) corresponding to the light intensity value are then found in temperature-voltage standard lookup table；
The more new logo of the position is read, if being identified as 1, then it represents that the point data is still primary data, can be updated
(514)；
All magnitudes of voltage corresponding to the temperature value are extracted in ordering history mean data, obtain its average, with
Original magnitude of voltage (505) in the average alternate standard value look-up table 111；
The renewal that the point is changed in temperature-voltage standard lookup table is identified as 0, represents that the point data has been subjected to adaptively
Processing, it is impossible to be modified again (506).
It is pointed out that light intensity-current standard lookup table more new technological process (501) to (506) in above-described embodiment, with temperature
The process of degree-voltage standard look-up table more new technological process (511) to (516) can exchange order, have no effect on arithmetic result.
In addition, the present embodiment is directed to the more new technological process existed in standard value look-up table 111 in the case of primary data, if searching
Without primary data in table, the adaptive updates of standard value can also be carried out according to this flow, have simply delayed the institute of embodiment 4
State the execution that overall aging judges.
Claims (14)
1. the fault detection algorithm of battery panel in a kind of large-sized photovoltaic power station, it is characterised in that it includes, straight using host computer
Sending and receiving go out manipulation order, the electric current of every branch road of the moment and the voltage of every piece of electroplax that collecting device is obtained, Yi Jihuan
The ambient parameter that border monitoring device obtains, including intensity of illumination and temperature, as being calculated after input data, realization is entered simultaneously
Row individual failure positions the photovoltaic array fault detect judged with overall aging；Wherein use：To the positioning of single failure panel
Lateral comparison algorithm, the history comparison algorithm judged power station entirety aging, and the more new algorithm of the standard value as control, with
And the individual failure record sheet using aided algorithm, history average record sheet, and standard value look-up table.
2. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1, it is characterised in that described
The lateral comparison algorithm of single failure panel position includes：
With the algorithm input parameter for measuring each bar branch current at moment, each piece of battery panel voltage is formed；
Transverse current comparison step, contrast the difference of each bar branch current and average value；
One current ratio coefficient set in advance, when the ratio between a certain branch current difference and average value are more than the proportionality coefficient
When, it is believed that the branch road exists abnormal；
Lateral voltage comparison step, for abnormal branch road, the difference of each piece of panel voltage of contrast and average value；
One voltage ratio coefficient set in advance, when the ratio between a certain panel voltage difference and average value are more than the proportionality coefficient
When, it is believed that the panel exists abnormal；
With the association process of individual failure record sheet, when detecting a certain panel exception, it is necessary to enter to individual failure record sheet
Row is corresponding to be changed to preserve the failure logging of the electroplax；
One fault index threshold set in advance, when Reflector corresponding to certain block battery panel exceedes the threshold value, just recognize
Broken down for the panel, and outwards export the fault message of the panel.
3. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1 or 2, it is characterised in that institute
The individual failure record sheet stated includes：
The position of abnormal battery panel, represented with one-dimensional numbering, or represented with two-dimensional coordinate；
The Reflector of abnormal battery panel, record the battery panel and be detected abnormal number, for determining that the panel is
No failure；
Electric current, electric voltage exception value, it is detected electric current and magnitude of voltage during exception every time for the electroplax, or including multi-group data；
The final updating time, when being detected abnormal for the electroplax the last time, corresponding test sequence number, for excluding soft error
Reflector resets flow by mistake.
4. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 3, it is characterised in that described
Reflector resets Reflector and final updating time of the flow at regular intervals to each group of failure logging in individual failure record sheet
Examination is carried out, by contrasting last more row time and current time, the long-term not increased failure logging of Reflector is deleted automatically
Remove.
5. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1, it is characterised in that described
History comparison algorithm includes：
With the ambient parameter for measuring the intensity of illumination at moment, temperature value is formed, formed with each bar branch current, each piece of panel voltage
Electric parameter, the input parameter as algorithm；
With the association process of individual failure record sheet, by retrieving the failure logging recorded in individual failure record sheet, exclude
Abnormal electric current and magnitude of voltage in the electric parameter of input, to increase the accuracy of algorithm；
Electric current, voltage entirety average value processing, the current value of all branch roads is merged with the magnitude of voltage of all panels, uses electric current
The whole result measured with the average value of voltage as this；
With the association process of history average record sheet, obtained whole result will be measured every time and is stored in history average record sheet
In；
With the association process of standard value look-up table, search condition is used as by light intensity and temperature value, in standard value look-up table
To electric current and standard voltage value, it is compared with measured value；
Curve fitting process, it is fitted using testing sequence number as abscissa, electric current (voltage) and the difference of standard value as ordinate
Go out curve, represent overall aging or dust stratification trend.
6. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1 or 5, it is characterised in that institute
The history average record sheet stated includes：
Electric current ensemble average value, i.e., the average value of obtained each branch current is measured every time；
Voltage ensemble average value, i.e., the average value of obtained each battery panel voltage is measured every time；
Intensity of illumination, temperature value, i.e., the illumination intensity value and temperature value that measurement records every time, can be in standard as ambient parameter
Corresponding voltage, current standard value are found in value look-up table；
Sequence number is tested, for representing the time sequencing of each test.
7. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 3 or 6, it is characterised in that institute
The test sequence number stated is used to represent the time, adds 1 to it automatically during test every time, and the priority of each secondary test result is reflected with positive integer
Relation.
8. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1, it is characterised in that described
Standard value more new algorithm is different according to power station local environment and used equipment, and electricity is adaptively updated in test process
Stream, the algorithm of standard voltage value, it includes：
The characteristic disposably updated, i.e. each group of standard value can only update once after algorithm operation, no longer change afterwards；
With the association process of history average record sheet, adaptive updates flow is opened when data reach certain scale in table；
One electric current renewal threshold value set in advance, when light intensity value identical record number is more than the threshold in history average record sheet
During value, the renewal of this group of standard value is carried out；
One voltage renewal threshold value set in advance, when temperature value identical record number is more than the threshold in history average record sheet
During value, the renewal of this group of standard value is carried out；
With the association process of standard value look-up table, all standard values are stored in standard value look-up table, standard value more new algorithm
Directly the data of the table will be updated.
9. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1 or 5 or 8, it is characterised in that
Described standard value look-up table includes light intensity-current standard value look-up table and temperature-voltage standard value look-up table.
10. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 9, it is characterised in that described
Light intensity-current standard value look-up table include light intensity value, current standard value and more new logo, for the premise in known light intensity value
Under, a standard current value is obtained, the average current of each bar branch road, the measurement average value with electric current during as power station normal power generation
Contrasted.
11. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 9, it is characterised in that described
Temperature-voltage standard value look-up table include temperature value, standard voltage value and more new logo, for the premise in known temperature value
Under, obtain a standard voltage value, during as power station normal power generation the average voltage of each piece of battery panel, the measurement with voltage put down
Average is contrasted.
12. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 10 or 11, it is characterised in that
Described more new logo is used to represent that whether a certain group of data carried out renewal in standard value look-up table, were represented with 0 or 1.
13. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 9, it is characterised in that described
Standard value look-up table, primary standard value, or an empty table can be first set before algorithm starts.
14. the fault detection algorithm of battery panel in the large-sized photovoltaic power station as described in claim 1, it is characterised in that described
Individual failure unit information, overall aging conditions, and generated energy change curve information to display end provide output.
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| CN112596490B (en) * | 2020-02-28 | 2021-09-07 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Industrial robot fault detection method and device, computer equipment and storage medium |
| CN112596490A (en) * | 2020-02-28 | 2021-04-02 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Industrial robot fault detection method and device, computer equipment and storage medium |
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| CN112269110A (en) * | 2020-10-19 | 2021-01-26 | 合肥阳光新能源科技有限公司 | Arc fault judgment method |
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| WO2024065211A1 (en) * | 2022-09-27 | 2024-04-04 | 宁德时代新能源科技股份有限公司 | Photovoltaic array test method and system |
| CN116707445A (en) * | 2023-08-04 | 2023-09-05 | 华能新能源股份有限公司山西分公司 | Photovoltaic module fault positioning method and system |
| CN116707445B (en) * | 2023-08-04 | 2023-11-03 | 华能新能源股份有限公司山西分公司 | Photovoltaic module fault positioning method and system |
| CN117559640A (en) * | 2023-11-13 | 2024-02-13 | 国网江苏省电力有限公司南通供电分公司 | Sensing data monitoring method and system based on transformer substation communication power supply equipment |
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| Publication number | Publication date |
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| WO2018028005A1 (en) | 2018-02-15 |
| CN107733357B (en) | 2019-06-25 |
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