CN111614317A - IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel - Google Patents
IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel Download PDFInfo
- Publication number
- CN111614317A CN111614317A CN202010396721.4A CN202010396721A CN111614317A CN 111614317 A CN111614317 A CN 111614317A CN 202010396721 A CN202010396721 A CN 202010396721A CN 111614317 A CN111614317 A CN 111614317A
- Authority
- CN
- China
- Prior art keywords
- string
- group
- current
- deviation
- voltage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 25
- 239000006185 dispersion Substances 0.000 claims abstract description 10
- 239000000428 dust Substances 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 17
- 238000005286 illumination Methods 0.000 claims description 13
- 230000005856 abnormality Effects 0.000 claims description 10
- 238000002405 diagnostic procedure Methods 0.000 claims description 8
- 230000001960 triggered effect Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000032683 aging Effects 0.000 claims description 4
- 230000000903 blocking effect Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 7
- 238000009825 accumulation Methods 0.000 abstract description 3
- 238000010248 power generation Methods 0.000 description 12
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910021419 crystalline silicon Inorganic materials 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
Images
Classifications
-
- 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
-
- 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
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention discloses a photovoltaic panel shadow occlusion diagnosis method based on IV curve scanning, which comprises the following steps of: s1, analyzing the efficiency of the group cascade system: and calculating the string-level system efficiency according to the string real-time data, and if the system efficiency is lower than a threshold value, performing string IV curve scanning analysis and string output electric power discrete rate analysis. The invention relates to the technical field of photovoltaic power stations. The diagnosis method provided by the invention mainly utilizes the measuring point data of the inverter group strings, and performs statistical comparison on all the inverter group strings by combining a group string IV curve scanning through a series of algorithms such as electric power distribution analysis, efficiency analysis, electric power dispersion rate analysis, voltage and current dispersion analysis and the like, so as to judge whether the group strings have excessive dust accumulation or shadow shielding phenomenon, so that the photovoltaic panel shadow shielding can be diagnosed remotely, staff is not required to perform regular inspection, the tedious workload of the staff is greatly reduced, and the method is simple and convenient in actual operation.
Description
Technical Field
The invention relates to the technical field of photovoltaic power stations, in particular to a photovoltaic panel shadow occlusion diagnosis method based on IV curve scanning.
Background
The photovoltaic power station is a photovoltaic power generation system which is connected with a power grid and transmits power to the power grid, is made of special materials such as crystalline silicon plates, inverters and other electronic elements, and can be divided into an independent power generation system with a storage battery and a grid-connected power generation system without the storage battery, wherein the photovoltaic power generation system is divided into photo-thermal power generation and photovoltaic power generation, and solar electric energy entering commercialization at the present time refers to solar photovoltaic power generation, and a photovoltaic power generation product is mainly used for three aspects: the solar photovoltaic grid-connected power generation system is used for providing power for electroless occasions, solar electronic products such as various solar chargers, solar street lamps and various lamps on solar grasslands, and grid-connected power generation.
In the prior art, the judgment of shadow shielding of a photovoltaic panel area of a photovoltaic power station mainly depends on manual regular inspection to check, however, one photovoltaic panel plant area has hundreds of thousands of photovoltaic panels, the number of the photovoltaic panels is very large, the photovoltaic panels are measured by manpower alone, the difficulty is very high in the actual operation process, the efficiency is low, the period is long, the actual efficiency is low, meanwhile, unattended operation of the photovoltaic power station is carried out in the future, the photovoltaic panels are monitored by manpower, and the method is obviously difficult to realize.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a photovoltaic panel shadow shielding diagnosis method based on IV curve scanning, and solves the problems that the existing photovoltaic plant shadow shielding or dust accumulation inspection needs to be carried out by manpower measurement inspection, so that the difficulty is high, the efficiency is low, the period is long, and the effectiveness is low.
In order to achieve the purpose, the invention is realized by the following technical scheme: a photovoltaic panel shadow blocking diagnosis method based on IV curve scanning comprises the following steps:
s1, analyzing the efficiency of the group cascade system: calculating the string level system efficiency according to the string real-time data, if the system efficiency is lower than a threshold value, performing string IV curve scanning analysis and string output electric power discrete rate analysis, and if the system efficiency is higher than or equal to the threshold value, determining that the current string runs normally, and stopping diagnosis of the current string;
s2, analyzing the discrete rate of the group output electric power: when the system efficiency result calculated in the step S1 is lower than the threshold, the operation of this step is started, and the group output electric power discrete rate analysis is performed on all the group strings under the same inverter, and the discrete rate and the threshold are compared;
s3, group IV curve scanning analysis: when the system efficiency result calculated in S1 is lower than the threshold, starting the operation of this step, and drawing an IV curve according to parameters such as open-circuit voltage (Voc), short-circuit current (Isc), maximum power point voltage (Vmpp), maximum power point current (Impp), and peak electric power (Pmax) in the string standard test environment;
s4, analyzing the deviation of the output voltage of the string: after the analysis is completed in the S1, calculating a string output voltage deviation according to the real-time data, determining a magnitude between the string output voltage deviation and a threshold, and then performing the analysis according to a determination result, wherein the voltage deviation is determined to have four results, which are respectively higher than the threshold, zero, lower than the threshold, and equal to the threshold, and if the string output voltage deviation is lower than or equal to the threshold, the string output current deviation analysis needs to be continued;
s5, analyzing the deviation of the output current of the string: calculating the deviation of the string output current according to the real-time data, judging the magnitude between the deviation of the string output current and a threshold value, and analyzing according to a judgment result, wherein the result has four conditions, namely, the deviation is higher than the threshold value, zero, lower than the threshold value and equal to the threshold value;
s6, after being analyzed by the methods in S1-S5, when the group string finds an abnormal mark, the abnormal mark can be compared with the current data to eliminate the abnormal caused by accidental reasons.
Further, when the efficiency of the group cascade system is calculated in S1, the output power values of all the group strings, the voltage and the current values of the group strings need to be accessed, if the system with the maximum power point calculation is located in the plant, the voltage value, the current value and the maximum power point need to be accessed, if the system does not exist, a same illumination intensity can be calculated through historical data statistics, and the value of the maximum power at the same temperature is the maximum power point.
Further, in S2, if the dispersion rate is lower than the threshold value, it indicates that the entire operation of the lower group string of the inverter is stable, and the reason that the efficiency of the group string system is low may be caused by the fact that the entire operation is shielded by dust or other objects, and if the dispersion rate is higher than or equal to the threshold value, it indicates that the entire conversion efficiency of the lower group string of the inverter fluctuates, and the reason that the efficiency of the group changing cascade system is low may be caused by a fault problem occurring in the group string, and a detailed fault diagnosis of the group string in the next step is performed.
Further, when the IV curve is drawn in S3, the IV characteristic curve of the photovoltaic string needs to be obtained by the subsequent power electronic device, and then whether the current, the voltage and the power of the string are abnormal or not and the reason for the abnormality is analyzed according to the position of the scanning output point of the real-time output voltage, the current and the power of the string on the IV curve graph.
Further, the judgment of the result in S4 may be divided into: if the group string output voltage deviation is higher than the threshold value, the fact that the group string and other group strings have huge voltage difference under the same environment is shown, if the voltage is zero, a short-circuit fault is judged to occur, and if the voltage is not zero, the reason for the situation may be that the group string has hot spot fault and shares partial voltage.
Further, the string output current deviation result in S5 is based on: if the deviation of the output current of the group string is higher than the threshold value, the fact that the current of the group string is greatly different from that of other group strings in the same environment is shown, if the current is zero, an open-circuit fault is judged, if the current is not zero, the reason of the situation can be that the group string is shaded by a shadow, partial illumination is reduced, and if the deviation of the output current of the group string is lower than or equal to the threshold value, the situation can be caused by abnormal aging of the group string.
Further, the string output current dispersion in S5 is a ratio of the difference between the output current of a single string and the average value of the string output currents with the same amount of machine-loading of the same inverter unit to the average value of the string output currents with the same amount of machine-loading of the same inverter unit.
Further, in S6, there may be an accidental cause, such as fault diagnosis triggered by an inversion abnormality, that the group strings under inversion need to be subjected to fault diagnosis one by one, and such as fault diagnosis triggered by group string output electric power probability distribution analysis, that the group strings below a distribution probability threshold need to be subjected to fault diagnosis one by one.
Compared with the prior art, the invention has the beneficial effects that:
the photovoltaic panel shadow shielding diagnosis method based on IV curve scanning mainly utilizes measuring point data of an inverter group string, through a series of algorithms such as electric power distribution analysis, efficiency analysis, electric power discrete rate analysis, voltage and current dispersion analysis and the like, and by combining group string IV curve scanning, all inverter group strings are subjected to statistical comparison to judge whether the group strings have excessive dust accumulation or shadow shielding phenomena, can diagnose the shade shielding of the photovoltaic panel remotely, realize remote data operation, does not need staff to check at regular time, replaces the traditional manual inspection mode, greatly reduces the complex workload of the staff, the photovoltaic power station fault detection device is simpler and more convenient in the actual operation process, improves the inspection timeliness, further improves the fault inspection efficiency, saves a large amount of manpower, and can well meet the use requirements of the photovoltaic power station.
Drawings
FIG. 1 is a block flow diagram of a photovoltaic panel shadow occlusion diagnosis method based on IV curve scanning according to the present invention;
FIG. 2 is an analysis diagram of a string IV curve in the photovoltaic panel shadow occlusion diagnosis method based on IV curve scanning provided by the invention;
fig. 3 is an explanatory diagram of diagnostic logic of the photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a photovoltaic panel shadow blocking diagnosis method based on IV curve scanning comprises the following steps:
s1, analyzing the efficiency of the group cascade system: calculating the string level system efficiency according to the string real-time data, if the system efficiency is lower than a threshold value, performing string IV curve scanning analysis and string output electric power discrete rate analysis, and if the system efficiency is higher than or equal to the threshold value, determining that the current string runs normally, and stopping diagnosis of the current string;
s2, analyzing the discrete rate of the group output electric power: when the system efficiency result calculated in the step S1 is lower than the threshold, the operation of this step is started, and the group output electric power discrete rate analysis is performed on all the group strings under the same inverter, and the discrete rate and the threshold are compared;
s3, group IV curve scanning analysis: when the system efficiency result calculated in S1 is lower than the threshold, starting the operation of this step, and drawing an IV curve according to parameters such as open-circuit voltage (Voc), short-circuit current (Isc), maximum power point voltage (Vmpp), maximum power point current (Impp), and peak electric power (Pmax) in the string standard test environment;
s4, analyzing the deviation of the output voltage of the string: after the analysis is completed in the S1, calculating a string output voltage deviation according to the real-time data, determining a magnitude between the string output voltage deviation and a threshold, and then performing the analysis according to a determination result, wherein the voltage deviation is determined to have four results, which are respectively higher than the threshold, zero, lower than the threshold, and equal to the threshold, and if the string output voltage deviation is lower than or equal to the threshold, the string output current deviation analysis needs to be continued;
s5, analyzing the deviation of the output current of the string: calculating the deviation of the string output current according to the real-time data, judging the magnitude between the deviation of the string output current and a threshold value, and analyzing according to a judgment result, wherein the result has four conditions, namely, the deviation is higher than the threshold value, zero, lower than the threshold value and equal to the threshold value;
s6, after being analyzed by the methods in S1-S5, when the group string finds an abnormal mark, the abnormal mark can be compared with the current data to eliminate the abnormal caused by accidental reasons.
When the efficiency of the group cascade system is calculated in S1, the output power values of all the group strings, the voltage and the current values of the group strings need to be accessed, if the system for calculating the maximum power point exists in the plant, the voltage value, the current value and the maximum power value of the maximum power point need to be accessed, and if the system does not exist, a same illumination intensity can be calculated through historical data statistics, and the value of the maximum power at the same temperature is the maximum power point.
If the discrete rate is lower than the threshold value in S2, it indicates that the whole operation of the group string under the inverter is stable, and the reason that the efficiency of the group string system is low may be caused by the whole being shielded by dust or other objects, and if the discrete rate is higher than or equal to the threshold value, it indicates that the whole conversion efficiency of the group string under the inverter fluctuates, and the reason that the efficiency of the group string changing system is low may be caused by the fault problem of the group string, and the detailed fault diagnosis of the group string in the next step is performed.
When the IV curve is drawn in S3, the IV characteristic curve of the photovoltaic string needs to be obtained by the subsequent power electronic device, and then, according to the position of the real-time output voltage, current, and electric power scan output point of the string on the IV curve graph, it is determined whether there is an abnormality and the reason for the abnormality is analyzed.
The judgment criteria of the result in S4 can be divided into: if the group string output voltage deviation is higher than the threshold value, the fact that the group string and other group strings have huge voltage difference under the same environment is shown, if the voltage is zero, a short-circuit fault is judged to occur, and if the voltage is not zero, the reason for the situation may be that the group string has hot spot fault and shares partial voltage.
The output current deviation result of the string set in the step S5 is based on: if the deviation of the output current of the group string is higher than the threshold value, the fact that the current of the group string is greatly different from that of other group strings in the same environment is shown, if the current is zero, an open-circuit fault is judged, if the current is not zero, the reason of the situation can be that the group string is shaded by a shadow, partial illumination is reduced, and if the deviation of the output current of the group string is lower than or equal to the threshold value, the situation can be caused by abnormal aging of the group string.
The string output current dispersion in S5 is the ratio of the difference between the output current of a single string and the average value of the string output current with the same amount of the inverter unit under-load to the average value of the string output current with the same amount of the inverter unit under-load.
In S6, there may be an accidental cause, and if the fault diagnosis is triggered by an inversion abnormality, the fault diagnosis is performed on the group strings under inversion one by one, and if the fault diagnosis is triggered by the group string output electric power probability distribution analysis, the fault diagnosis is performed on the group strings below the distribution probability threshold one by one.
Detailed description of the calculation flow: step 1, starting: accessing the output power values of all the strings, the voltage and the current values of the strings, and accessing the voltage value, the current value and the maximum power of the maximum power point if a system with the maximum power point calculation of a plant station needs to access, wherein the historical data does not calculate the same illumination intensity, and the value of the maximum power at the same temperature is the maximum power point;
(1) the voltage is zero: judging whether illumination exists, wherein if illumination exists, short circuit faults may occur in the string;
(2) the current is zero: judging whether illumination exists, if so, the group string may have open circuit fault
(3) Low voltage: under normal ambient temperature, the voltage floating range is not large, and if the voltage is lower than the floating range, the voltage may be caused by hot spot fault of the string;
(4) low current: the current magnitude is related to the illumination, passing through the pair
And
by comparison, e.g.
The group string is higher than a certain range and may be caused by local shadow shielding or dust shielding;
(5) low voltage and low current: at normal ambient temperature and under normal illumination, the strings are subjected to low voltage and low current at the same time, which may be caused by abnormal aging of the strings;
the specific analysis logic of the exemplary embodiment is shown in FIG. 3, and it can be concluded that the above 5 results are all diagnostic results with illumination intensity greater than 200W/m2On the premise, the threshold of the present exemplary embodiment is 80%, such as voltageAnd if the voltage is less than 80% of the maximum power point voltage and the current is greater than 80% of the maximum power point current, the hot spot fault is inferred. By analogy, the other conclusions are the same.
The working principle is as follows:
s1, analyzing the efficiency of the group cascade system: calculating the string level system efficiency according to the string real-time data, if the system efficiency is lower than a threshold value, performing string IV curve scanning analysis and string output electric power discrete rate analysis, and if the system efficiency is higher than or equal to the threshold value, determining that the current string runs normally, and stopping diagnosis of the current string;
s2, analyzing the discrete rate of the group output electric power: when the system efficiency result calculated in the step S1 is lower than the threshold, the operation of this step is started, and the group output electric power discrete rate analysis is performed on all the group strings under the same inverter, and the discrete rate and the threshold are compared;
s3, group IV curve scanning analysis: when the system efficiency result calculated in S1 is lower than the threshold, starting the operation of this step, and drawing an IV curve according to parameters such as open-circuit voltage (Voc), short-circuit current (Isc), maximum power point voltage (Vmpp), maximum power point current (Impp), and peak electric power (Pmax) in the string standard test environment;
s4, analyzing the deviation of the output voltage of the string: after the analysis is completed in the S1, calculating a string output voltage deviation according to the real-time data, determining a magnitude between the string output voltage deviation and a threshold, and then performing the analysis according to a determination result, wherein the voltage deviation is determined to have four results, which are respectively higher than the threshold, zero, lower than the threshold, and equal to the threshold, and if the string output voltage deviation is lower than or equal to the threshold, the string output current deviation analysis needs to be continued;
s5, analyzing the deviation of the output current of the string: calculating the deviation of the string output current according to the real-time data, judging the magnitude between the deviation of the string output current and a threshold value, and analyzing according to a judgment result, wherein the result has four conditions, namely, the deviation is higher than the threshold value, zero, lower than the threshold value and equal to the threshold value;
s6, after being analyzed by the methods in S1-S5, when the group string finds an abnormal mark, the abnormal mark can be compared with the current data to eliminate the abnormal caused by accidental reasons.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A photovoltaic panel shadow blocking diagnosis method based on IV curve scanning is characterized by comprising the following steps:
s1, analyzing the efficiency of the group cascade system: calculating the string level system efficiency according to the string real-time data, if the system efficiency is lower than a threshold value, performing string IV curve scanning analysis and string output electric power discrete rate analysis, and if the system efficiency is higher than or equal to the threshold value, determining that the current string runs normally, and stopping diagnosis of the current string;
s2, analyzing the discrete rate of the group output electric power: when the system efficiency result calculated in the step S1 is lower than the threshold, the operation of this step is started, and the group output electric power discrete rate analysis is performed on all the group strings under the same inverter, and the discrete rate and the threshold are compared;
s3, group IV curve scanning analysis: when the system efficiency result calculated in S1 is lower than the threshold, starting the operation of this step, and drawing an IV curve according to parameters such as open-circuit voltage (Voc), short-circuit current (Isc), maximum power point voltage (Vmpp), maximum power point current (Impp), and peak electric power (Pmax) in the string standard test environment;
s4, analyzing the deviation of the output voltage of the string: after the analysis is completed in the S1, calculating a string output voltage deviation according to the real-time data, determining a magnitude between the string output voltage deviation and a threshold, and then performing the analysis according to a determination result, wherein the voltage deviation is determined to have four results, which are respectively higher than the threshold, zero, lower than the threshold, and equal to the threshold, and if the string output voltage deviation is lower than or equal to the threshold, the string output current deviation analysis needs to be continued;
s5, analyzing the deviation of the output current of the string: calculating the deviation of the string output current according to the real-time data, judging the magnitude between the deviation of the string output current and a threshold value, and analyzing according to a judgment result, wherein the result has four conditions, namely, the deviation is higher than the threshold value, zero, lower than the threshold value and equal to the threshold value;
s6, after being analyzed by the methods in S1-S5, when the group string finds an abnormal mark, the abnormal mark can be compared with the current data to eliminate the abnormal caused by accidental reasons.
2. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: when the efficiency of the group cascade system is calculated in S1, the output power values of all the group strings, the voltage and the current values of the group strings need to be accessed, if the system for calculating the maximum power point exists in the plant, the voltage value, the current value and the maximum power value of the maximum power point need to be accessed, and if the system does not exist, a same illumination intensity can be calculated through historical data statistics, and the value of the maximum power at the same temperature is the maximum power point.
3. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: if the discrete rate is lower than the threshold value in S2, it indicates that the whole operation of the group string under the inverter is stable, and the reason that the efficiency of the group string system is low may be caused by the whole being shielded by dust or other objects, and if the discrete rate is higher than or equal to the threshold value, it indicates that the whole conversion efficiency of the group string under the inverter fluctuates, and the reason that the efficiency of the group string changing system is low may be caused by the fault problem of the group string, and the detailed fault diagnosis of the group string in the next step is performed.
4. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: when the IV curve is drawn in S3, the IV characteristic curve of the photovoltaic string needs to be obtained by the subsequent power electronic device, and then, according to the position of the real-time output voltage, current, and electric power scan output point of the string on the IV curve graph, it is determined whether there is an abnormality and the reason for the abnormality is analyzed.
5. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: the judgment criteria of the result in S4 can be divided into: if the group string output voltage deviation is higher than the threshold value, the fact that the group string and other group strings have huge voltage difference under the same environment is shown, if the voltage is zero, a short-circuit fault is judged to occur, and if the voltage is not zero, the reason for the situation may be that the group string has hot spot fault and shares partial voltage.
6. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: the output current deviation result of the string set in the step S5 is based on: if the deviation of the output current of the group string is higher than the threshold value, the fact that the current of the group string is greatly different from that of other group strings in the same environment is shown, if the current is zero, an open-circuit fault is judged, if the current is not zero, the reason of the situation can be that the group string is shaded by a shadow, partial illumination is reduced, and if the deviation of the output current of the group string is lower than or equal to the threshold value, the situation can be caused by abnormal aging of the group string.
7. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: the string output current dispersion in S5 is the ratio of the difference between the output current of a single string and the average value of the string output current with the same amount of the inverter unit under-load to the average value of the string output current with the same amount of the inverter unit under-load.
8. The photovoltaic panel shadow occlusion diagnostic method based on IV curve scanning according to claim 1, characterized in that: in S6, there may be an accidental cause, and if the fault diagnosis is triggered by an inversion abnormality, the fault diagnosis is performed on the group strings under inversion one by one, and if the fault diagnosis is triggered by the group string output electric power probability distribution analysis, the fault diagnosis is performed on the group strings below the distribution probability threshold one by one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010396721.4A CN111614317B (en) | 2020-05-12 | 2020-05-12 | IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010396721.4A CN111614317B (en) | 2020-05-12 | 2020-05-12 | IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111614317A true CN111614317A (en) | 2020-09-01 |
| CN111614317B CN111614317B (en) | 2022-11-15 |
Family
ID=72197932
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010396721.4A Active CN111614317B (en) | 2020-05-12 | 2020-05-12 | IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111614317B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112737496A (en) * | 2020-12-23 | 2021-04-30 | 合肥阳光新能源科技有限公司 | Method and system for detecting surface dust deposition of photovoltaic module and photovoltaic power generation system |
| CN113949343A (en) * | 2021-08-31 | 2022-01-18 | 隆基光伏科技(上海)有限公司 | Detection method and device for photovoltaic power generation equipment, electronic equipment and storage medium |
| CN114937001A (en) * | 2022-04-06 | 2022-08-23 | 尚特杰电力科技有限公司 | Dust early warning method based on infrared detection |
| CN115333479A (en) * | 2022-09-09 | 2022-11-11 | 北京智盟信通科技有限公司 | Photovoltaic module dust shielding identification method |
| CN117691947A (en) * | 2024-02-02 | 2024-03-12 | 深圳市普光太阳能有限公司 | Solar photovoltaic panel generation power abnormality diagnosis method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170070187A1 (en) * | 2015-09-09 | 2017-03-09 | Mahindra Susten Pvt Ltd. | Solar tracking system and a method thereof |
| CN108923748A (en) * | 2018-07-16 | 2018-11-30 | 河海大学常州校区 | A kind of diagnosing failure of photovoltaic array method based on IV curved scanning |
-
2020
- 2020-05-12 CN CN202010396721.4A patent/CN111614317B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170070187A1 (en) * | 2015-09-09 | 2017-03-09 | Mahindra Susten Pvt Ltd. | Solar tracking system and a method thereof |
| CN108923748A (en) * | 2018-07-16 | 2018-11-30 | 河海大学常州校区 | A kind of diagnosing failure of photovoltaic array method based on IV curved scanning |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112737496A (en) * | 2020-12-23 | 2021-04-30 | 合肥阳光新能源科技有限公司 | Method and system for detecting surface dust deposition of photovoltaic module and photovoltaic power generation system |
| CN113949343A (en) * | 2021-08-31 | 2022-01-18 | 隆基光伏科技(上海)有限公司 | Detection method and device for photovoltaic power generation equipment, electronic equipment and storage medium |
| CN113949343B (en) * | 2021-08-31 | 2024-05-28 | 隆基光伏科技(上海)有限公司 | Method and device for detecting photovoltaic power generation equipment, electronic equipment and storage medium |
| CN114937001A (en) * | 2022-04-06 | 2022-08-23 | 尚特杰电力科技有限公司 | Dust early warning method based on infrared detection |
| CN115333479A (en) * | 2022-09-09 | 2022-11-11 | 北京智盟信通科技有限公司 | Photovoltaic module dust shielding identification method |
| CN115333479B (en) * | 2022-09-09 | 2024-01-09 | 北京智盟信通科技有限公司 | Dust shielding identification method for photovoltaic module |
| CN117691947A (en) * | 2024-02-02 | 2024-03-12 | 深圳市普光太阳能有限公司 | Solar photovoltaic panel generation power abnormality diagnosis method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111614317B (en) | 2022-11-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111614317B (en) | IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel | |
| CN106899268B (en) | Multichannel photovoltaic module outdoor generating characteristic and grid-connected decaying situation test macro | |
| Ma et al. | Photovoltaic module current mismatch fault diagnosis based on IV data | |
| Dhimish et al. | Photovoltaic hot-spots fault detection algorithm using fuzzy systems | |
| CN111082749B (en) | Photovoltaic string running state identification method, device and storage medium | |
| CN103439572A (en) | Electricity larceny prevention monitoring method based on photovoltaic power generation power prediction | |
| CN113037214B (en) | Photovoltaic module shadow shielding fault diagnosis method based on S-V curve | |
| Zhang et al. | A fault diagnosis method for photovoltaic module current mismatch based on numerical analysis and statistics | |
| CN111460644A (en) | Photovoltaic array monitoring system with fault diagnosis and power prediction functions | |
| CN112462176B (en) | Device and method for supporting detection of photovoltaic system direct current arc fault | |
| Chen et al. | A novel fault diagnosis method of PV based-on power loss and IV characteristics | |
| Dhimish et al. | Novel photovoltaic hot-spotting fault detection algorithm | |
| Xu et al. | A fault diagnosis method for PV arrays based on new feature extraction and improved the fuzzy C-mean clustering | |
| Pan et al. | Uncertainty analysis based on non-parametric statistical modelling method for photovoltaic array output and its application in fault diagnosis | |
| Livera et al. | Failure diagnosis of short-and open-circuit fault conditions in PV systems | |
| Yun et al. | Research on fault diagnosis of photovoltaic array based on random forest algorithm | |
| CN109934437A (en) | A kind of power distribution network power failure methods of risk assessment and system | |
| CN112003564A (en) | Distributed photovoltaic system branch power abnormity early warning method based on intelligent terminal | |
| Pan et al. | Research on output distribution modeling of photovoltaic modules based on kernel density estimation method and its application in anomaly identification | |
| CN111064219A (en) | Photovoltaic grid-connected inverter operation efficiency evaluation method based on radiation distribution characteristics | |
| CN111711414B (en) | Photovoltaic power station fault detection device with maximum power | |
| Rezgui et al. | Photovoltaic module simultaneous open-and short-circuit faults modeling and detection using the I–V characteristic | |
| Muhammad et al. | An early fault detection approach in grid-connected photovoltaic (GCPV) system | |
| CN107271916B (en) | Battery plate group string health state detection method | |
| CN111711415B (en) | Photovoltaic power station fault detection device with maximum power point tracking function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |