CN117498799A - Photovoltaic tracking bracket fault diagnosis method, system and readable medium - Google Patents
Photovoltaic tracking bracket fault diagnosis method, system and readable medium Download PDFInfo
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24S—SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
- F24S30/00—Arrangements for moving or orienting solar heat collector modules
- F24S30/40—Arrangements for moving or orienting solar heat collector modules for rotary movement
- F24S30/42—Arrangements for moving or orienting solar heat collector modules for rotary movement with only one rotation axis
- F24S30/425—Horizontal axis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/08—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors
- H02H7/085—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against excessive load
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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
- H02S20/00—Supporting structures for PV modules
- H02S20/30—Supporting structures being movable or adjustable, e.g. for angle adjustment
- H02S20/32—Supporting structures being movable or adjustable, e.g. for angle adjustment specially adapted for solar tracking
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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
Abstract
The invention provides a photovoltaic tracking bracket fault diagnosis method, a system and a readable medium, wherein the method comprises the steps of establishing a motor current and bracket angle reference table based on historical operation data of a tracking bracket, wherein the operation data comprises the motor current and the bracket angle; acquiring operation data of a previous period of a tracking bracket, and judging the change trend of the angle of the bracket according to the operation data of the previous period, wherein the change trend comprises angle decrease and angle increase; acquiring current operation data of a tracking bracket, wherein the current operation data comprises current motor current and current bracket angle; calculating a motor current early warning threshold according to the current bracket angle, the change trend and the motor current and bracket angle reference table; judging whether the current motor current is higher than the motor current early warning threshold value, and if so, judging that the tracking bracket has faults.
Description
Technical Field
The invention mainly relates to the technical field of photovoltaic tracking brackets, in particular to a photovoltaic tracking bracket fault diagnosis method, a system and a readable medium.
Background
The photovoltaic tracking bracket is driven by a motor to realize angle rotation. Over a life cycle of up to 25-30 years of tracking the rack, the rack is often stalled or even damaged due to wear of mechanical structural parts or equipment failure. The current common treatment mode in the industry is to repair the photovoltaic tracking bracket after the photovoltaic tracking bracket is failed or damaged, so that the mode has larger hysteresis, is easy to generate irreversible damage to the photovoltaic tracking bracket, and seriously affects the power generation benefit of the photovoltaic tracking bracket.
Therefore, the operation state of the photovoltaic tracking bracket needs to be monitored in real time, faults are judged and early warned, the optimal overhaul time is conveniently determined, and the full life cycle management of the photovoltaic tracking bracket is realized.
Disclosure of Invention
The invention aims to provide a photovoltaic tracking bracket fault diagnosis method, a system and a readable medium, so as to diagnose the fault of a photovoltaic tracking bracket in time and determine the best overhaul opportunity.
In order to solve the technical problems, the invention provides a photovoltaic tracking bracket fault diagnosis method, which comprises the following steps: establishing a motor current and bracket angle reference table based on operation data of tracking bracket history, wherein the operation data comprises motor current and bracket angle; acquiring operation data of a previous period of a tracking bracket, and judging the change trend of the angle of the bracket according to the operation data of the previous period, wherein the change trend comprises angle decrease and angle increase; acquiring current operation data of a tracking bracket, wherein the current operation data comprises current motor current and current bracket angle; calculating a motor current early warning threshold according to the current bracket angle, the change trend and the motor current and bracket angle reference table; judging whether the current motor current is higher than the motor current early warning threshold value, and if so, judging that the tracking bracket has faults.
Optionally, establishing the motor current and bracket angle reference table based on the historical operating data includes: acquiring a change curve of motor current along with the angle of the support during normal operation of the tracking support from the historical operation data; determining the maximum motor current corresponding to each bracket angle according to the change curve; and adding the first redundancy value to each maximum motor current to obtain a current early warning reference value corresponding to each bracket angle.
Optionally, the change curve includes an angle decreasing curve and an angle increasing curve, the motor current and bracket angle reference table includes a first current reference table and a second current reference table, the first current reference table is constructed based on the angle decreasing curve, each bracket angle in the first current reference table corresponds to a first current early warning reference value, the second current reference table is constructed based on the angle increasing curve, and each bracket angle in the second current reference table corresponds to a second current early warning reference value.
Optionally, calculating the motor current warning threshold includes: if the change trend is angle decrease, searching a corresponding first current early-warning reference value from the first current reference table according to the current bracket angle, and taking the first current early-warning reference value as a motor current early-warning threshold value; if the change trend is that the angle increases progressively, searching a corresponding second current early-warning reference value from the second current reference table according to the current bracket angle, and taking the second current early-warning reference value as a motor current early-warning threshold value.
Optionally, the method further comprises: and correcting the motor current early warning threshold value through the wind speed correction coefficient and the snow thickness correction coefficient to obtain a final motor current early warning threshold value.
Optionally, correcting the motor current early warning threshold value through a wind speed correction coefficient and a snow thickness correction coefficient includes: establishing a wind speed correction coefficient table and a snow thickness correction coefficient curve based on the historical operation data and meteorological data; acquiring a current wind speed, and searching a corresponding wind speed correction coefficient from a wind speed correction coefficient table according to the current wind speed; acquiring current snow thickness, and inputting the current snow thickness into the snow thickness correction coefficient curve to acquire the snow thickness correction coefficient; and multiplying the motor current early warning threshold value by the wind speed correction coefficient and the snow thickness correction coefficient.
Optionally, the method further comprises: adding a second redundancy value to each maximum motor current to obtain a motor current protection threshold corresponding to each bracket angle, wherein the second redundancy value is larger than the first redundancy value; searching the motor current protection threshold corresponding to the current angle; judging whether the current motor current is larger than the motor current protection threshold value, and if so, controlling the motor to stop.
Optionally, the method further comprises: when judging that the tracking bracket has faults, acquiring a resistance value between an inlet and an outlet of the motor, judging whether the resistance value is higher than a preset resistance threshold value, if so, judging that the motor has faults, and otherwise, judging that the bracket structural member has faults.
In order to solve the technical problems, the invention provides a photovoltaic tracking bracket fault diagnosis system, which comprises: the meteorological data acquisition equipment is used for acquiring meteorological data of the position of the photovoltaic tracking bracket and sending the meteorological data to the network control unit; each tracking bracket controller collects operation data of a corresponding tracking bracket and sends the operation data to the network control unit, wherein the operation data comprise motor current and bracket angles; the network control unit is respectively in communication connection with the meteorological data acquisition equipment and the plurality of support tracking controllers, and comprises: a memory for storing the meteorological data and the operational data, and storing instructions executable by the processor; and a processor for executing the instructions to implement the method as described above.
To solve the above technical problem, the present invention provides a computer readable medium storing computer program code which, when executed by a processor, implements a method as described above.
Compared with the prior art, the invention has the following advantages:
according to the photovoltaic tracking bracket fault diagnosis method, system and readable medium, the motor current early warning threshold is not fixed and is calculated in real time according to the current bracket angle. By judging whether the current of the current motor is higher than a current early warning threshold corresponding to the current bracket angle, the fault diagnosis of the photovoltaic tracking bracket can be timely and accurately carried out, the optimal overhaul opportunity is convenient to determine, and the full life cycle management of the photovoltaic tracking bracket is realized; on the other hand, the method considers the influence of wind speed and snow thickness on the motor current, and corrects the motor current early warning threshold value through the wind speed correction coefficient and the snow thickness correction coefficient. And comparing the current motor current with the corrected motor current early warning threshold value, thereby further improving the accuracy of fault diagnosis.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the principles of the invention. In the accompanying drawings:
fig. 1 is a system block diagram of a photovoltaic tracking rack fault diagnosis system according to an embodiment of the present invention.
Fig. 2 is a flow chart of a photovoltaic tracking stent failure diagnosis method according to an embodiment of the present invention.
Fig. 3 is an angle decreasing curve according to an embodiment of the invention.
Fig. 4 is a flowchart of an embodiment of step S21 in fig. 2.
Fig. 5 is a table of motor current versus bracket angle references constructed corresponding to the decreasing angle curve of fig. 3.
Fig. 6 is an increasing angle plot according to an embodiment of the present invention.
Fig. 7 is a table of motor current versus bracket angle references in accordance with an embodiment of the present invention.
FIG. 8 is a flow chart of a photovoltaic tracking stent failure diagnosis method of the preferred embodiment of FIG. 2.
FIG. 9 is a flow chart of an embodiment of determining wind speed correction factors and snow thickness correction factors.
Fig. 10 is a graph comparing motor current curves of a tracking bracket in the presence and absence of wind.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present application, and it is obvious to those skilled in the art that the present application may be applied to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
Flowcharts are used in this application to describe the operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously. At the same time, other operations are added to or removed from these processes.
The photovoltaic tracking support mainly comprises a support structural member, an upright post, a photovoltaic module, a driving motor, a tracking support controller and the like. The tracking bracket controller is responsible for calculating the bracket rotation target angle and sending an instruction to the driving motor for execution. The photovoltaic assembly and the support structural member do work through the driving motor and rotate to a specified angle. Under static state, the support structure and the components are mainly influenced by gravity, friction and upright post supporting force. The direction and the magnitude of each part of force under different bracket angles are changed, so that the current required to be output by the driving motor is also different. In other words, the output current of the drive motor has a certain relationship with the tracking bracket angle. The photovoltaic tracking bracket fault diagnosis method and device are used for carrying out fault diagnosis on the photovoltaic tracking bracket based on output current of the driving motor and the angle of the tracking bracket.
Fig. 1 is a system block diagram of a photovoltaic tracking rack fault diagnosis system according to an embodiment of the present invention. As shown in fig. 1, the photovoltaic tracking rack fault diagnosis system 100 includes a network control unit (Network Control Unit, NCU) 10, a meteorological data acquisition apparatus 11, and a plurality of tracking rack controllers 12. The network control unit 10 is respectively in communication connection with the meteorological data acquisition device 11 and the plurality of tracking bracket controllers 12. The meteorological data acquisition device 11 is used for acquiring meteorological data of the position of the photovoltaic tracking bracket and sending the meteorological data to the network control unit 10. The meteorological data may include wind speed, snow thickness, illuminance, etc. data. The tracking bracket controllers are in one-to-one correspondence with the tracking brackets, and each tracking bracket controller collects operation data of the corresponding tracking bracket and sends the operation data to the network control unit 10. The operating data may include motor current, bracket angle, operating mode, etc. The network control unit 10 comprises a memory 101 and a processor 102. The memory 101 is used to store the meteorological data and the operational data, as well as instructions executable by the processor 102. The processor 102 is configured to obtain the weather data and the operation data from the memory 101 and perform a photovoltaic tracking bracket fault diagnosis method based on the weather data and the operation data.
Fig. 2 is a flow chart of a photovoltaic tracking stent failure diagnosis method according to an embodiment of the present invention. As shown in fig. 2, the photovoltaic tracking stent failure diagnosis method 200 includes:
step S21: and establishing a motor current and bracket angle reference table based on the operation data of the tracking bracket history.
Wherein the operational data includes, but is not limited to, motor current and bracket angle. Optionally, the operational data includes a profile of motor current over a period of time as a function of bracket angle.
Fig. 3 is an angle decreasing curve according to an embodiment of the invention. As shown in fig. 3, the motor current varies as the cradle angle is varied as the cradle angle is tracked from 55 ° to-55 °. Wherein, each discrete point forming the angle decreasing curve can be operation data of one tracking bracket for a plurality of times, for example, the angle of one tracking bracket is decreased from 55 degrees to-55 degrees for a plurality of times, and the corresponding relation between the motor current and the angle of the tracking bracket is recorded when each operation is performed. The discrete points forming the angle decreasing curve can also be the operation data of a plurality of tracking brackets, the bracket angles of the plurality of tracking brackets decrease from 55 degrees to-55 degrees, and the corresponding relation between the motor current and the tracking bracket angles during the operation of each tracking bracket is recorded.
Fig. 4 is a flowchart of an embodiment of step S21 in fig. 2. As shown in fig. 4, establishing the motor current and bracket angle reference table based on the historical operating data includes:
step S211: and acquiring a change curve of the motor current along with the bracket angle during normal operation of the tracking bracket from the historical operation data.
Step S212: and determining the maximum motor current corresponding to each bracket angle according to the change curve.
Referring to fig. 3, the variation curve is composed of a plurality of discrete points, each tracking bracket angle may correspond to a plurality of motor currents. For example, the corresponding motor currents at a tracking bracket angle of-40 include 1.0A, 1.4A, 1.5A, and 1.6A. From this, the maximum value, i.e. 1.6A, is selected as the maximum motor current corresponding to a tracking bracket angle of-40 °. The maximum motor current refers to the maximum current allowed by the motor when the tracking bracket can normally operate, and when the maximum motor current is exceeded, the tracking bracket can have faults. For example, when the tracking stent is stuck, the motor current is too large.
Step S213: and adding the first redundancy value to each maximum motor current to obtain a current early warning reference value corresponding to each bracket angle.
Considering the fluctuation condition of the motor drive, the motor current value triggering the support fault early warning can reserve a certain margin on the maximum current value. The margin is the first redundancy value. The value of the first redundancy value may be set as desired, as this application is not limited in this regard. Taking the first redundancy value as 1A as an example, the current early warning reference value corresponding to the tracking bracket angle of-40 degrees is 2.6A (1.6A+1A).
In some embodiments, the motor current and bracket angle reference table further includes motor current protection thresholds corresponding to respective bracket angles. The motor current protection threshold is obtained by adding a second redundancy value to each maximum motor current, the second redundancy value being greater than the first redundancy value. Taking the second redundancy value as 3A as an example, the motor current protection threshold corresponding to the tracking bracket angle of-40 degrees is 4.6A (1.6A+3A). Fig. 5 is a table of motor current versus bracket angle references constructed corresponding to the decreasing angle curve of fig. 3. As shown in fig. 5, in the motor current and bracket angle reference table 500, each bracket angle corresponds to a current early warning reference value (abbreviated as early warning reference value) and a motor current protection threshold value (abbreviated as current protection threshold value). For example, the current early-warning reference value corresponding to the tracking bracket angle of-40 degrees is 2.6A, the motor current protection threshold value is 4.6A, the current early-warning reference value corresponding to the tracking bracket angle of-55 degrees is 3A, the motor current protection threshold value is 5A, the current early-warning reference value corresponding to the tracking bracket angle of 55 degrees is 7.5A, the motor current protection threshold value is 9.5A, and other bracket angles can be obtained by searching according to a reference table, and the description is omitted.
Fig. 6 is an increasing angle plot according to an embodiment of the present invention. As shown in fig. 6, the maximum motor current corresponding to the tracking bracket angle-55 ° is 6.0A when the tracking bracket angle increases from-55 ° to 55 °. As shown in fig. 2, the maximum motor current corresponding to the tracking bracket angle-55 ° is 2.0A when the tracking bracket angle decreases from 55 ° to-55 °. Therefore, the tracking bracket angle has different change trends, and the motor current has larger difference. Therefore, the magnitude of the current warning reference value should consider the running trend of the bracket rotation.
Optionally, establishing the motor current and bracket angle reference table includes establishing a first current reference table and a second current reference table. The first current reference table is constructed based on an angle decreasing curve, and each bracket angle in the first current reference table corresponds to a first current early warning reference value. The second current reference table is constructed based on an angle increment curve, and each bracket angle in the second current reference table corresponds to a second current early warning reference value. Fig. 7 is a table of motor current versus bracket angle references in accordance with an embodiment of the present invention. As shown in fig. 7, the motor current and bracket angle reference table 700 includes a first current reference table 71 and a second current reference table 72. Each bracket angle comprises a first current early-warning reference value (first reference value for short), a first motor current protection threshold value (first protection threshold value for short), a second current early-warning reference value (second reference value for short) and a second motor current protection threshold value (second protection threshold value for short).
Step S22: and acquiring operation data of the previous period of the tracking bracket, and judging the change trend of the angle of the bracket according to the operation data of the previous period, wherein the change trend comprises angle decrease and angle increase.
Wherein the previous period refers to a period of time prior to the current time. For example, with a period of 0.5 hours, operational data is acquired that tracks the stent over the first half hour, the operational data including stent angle. I.e. the stent angle is acquired for each time in the first half hour.
Taking the period of 0.5 hour as an example, the change trend of the bracket angle can be judged to be the angle decrease or the angle increase according to the bracket angle of each time in the first half hour. Generally, the change trend of the stent angle is kept unchanged in a short time, and no abrupt change occurs. For example, if the stent angle decreases from 40 ° to 20 ° in a period of 17:00 to 17:30, it can be considered that the stent angle continues to have an decreasing angle after 17:30. Because the sun is from east to west, the photovoltaic tracking support changes according to the sun position, and the sun goes down the hill after 17:00, the tracking support angle (the included angle between the support and the horizontal plane) should be smaller and smaller, i.e. the support angle continues to be in an angle decreasing trend.
Step S23: current operation data of the tracking bracket is obtained, wherein the current operation data comprises current motor current and current bracket angle. . Step S24: and calculating a motor current early warning threshold according to the current bracket angle, the change trend and a reference table of the motor current and the bracket angle.
Optionally, calculating the motor current early-warning threshold includes searching a corresponding first current early-warning reference value from a first current reference table according to the current bracket angle if the change trend is angle decrease, and taking the first current early-warning reference value as the motor current early-warning threshold; if the change trend is that the angle increases, searching a corresponding second current early-warning reference value from a second current reference table according to the current bracket angle, and taking the second current early-warning reference value as a motor current early-warning threshold value.
Taking the current bracket angle of-40 ° as an example, if the change trend of the bracket angle is determined to be decreasing, as can be seen from the first current reference table 71 in fig. 7, the current early warning reference value corresponding to the tracking bracket angle of-40 ° is 2.6A, and the motor current early warning threshold is 2.6A. The motor current protection threshold corresponding to the tracking bracket angle of-40 degrees is 4.6A,
step S25: judging whether the current of the current motor is higher than a current early warning threshold value, and if so, judging that the tracking bracket has faults.
Continuing taking the current bracket angle as-40 degrees as an example, if the current of the motor is 3A at the moment, judging that the current motor current (3A) is higher than a current early warning threshold value (2.6A), and if the tracking bracket has faults. An alert signal may be issued to prompt the user.
In some embodiments, determining whether the present motor current is above a motor current protection threshold and if so, controlling the motor to stop so as not to cause irreversible damage is also included.
The motor current early warning threshold value in the photovoltaic tracking bracket fault diagnosis method is not fixed and is calculated in real time according to the current bracket angle. By judging whether the current of the current motor is higher than the current early warning threshold corresponding to the current bracket angle, the fault diagnosis of the photovoltaic tracking bracket can be timely and accurately carried out, the optimal overhaul opportunity can be conveniently determined, and the full life cycle management of the photovoltaic tracking bracket is realized.
In addition to the effect of the tracking bracket angle on the direction and magnitude of the tracking bracket, the tracking bracket also has an effect on the direction and magnitude of the tracking bracket when subjected to wind and snow loads. Wherein the influence of the snow load on the tracking bracket is mainly reflected in increasing the gravity of the tracking bracket and the friction force during rotation, so that the basic relation between the motor drive and the snow load is positively related. The influence of wind load on the tracking bracket has uncertainty, which may cause the motor drive current to increase and may also cause it to decrease, but typically only the influence value thereof, which causes the motor drive current to increase, is calculated.
FIG. 8 is a flow chart of a photovoltaic tracking stent failure diagnosis method of the preferred embodiment of FIG. 2. As shown in fig. 8, before proceeding to step S15, the photovoltaic tracking bracket fault diagnosis method 800 further includes step S141 of correcting the motor current early warning threshold value by a wind speed correction coefficient and a snow thickness correction coefficient to obtain a final motor current early warning threshold value.
Optionally, the motor current warning threshold may be modified by the following formula:
I warning ＝I angle *R wind *R snow
wherein I is warning I is the final motor current early warning threshold value angle R is an uncorrected motor current early warning threshold value wind R is the wind speed correction coefficient snow Is a snow thickness correction coefficient.
The wind speed correction coefficient and the snow thickness correction coefficient can be preset fixed values, and can be determined according to the current wind speed and the current snow thickness.
FIG. 9 is a flow chart of an embodiment of determining wind speed correction factors and snow thickness correction factors. As shown in fig. 9, determining the wind speed correction coefficient and the snow thickness correction coefficient includes the steps of:
step S91: and establishing a wind speed correction coefficient table and a snow thickness correction coefficient curve based on historical meteorological data and operation data, wherein the meteorological data comprises wind speed and snow thickness.
And establishing a wind speed correction coefficient table according to the corresponding relation between the wind speed and the bracket current at the same time. Fig. 10 is a graph comparing motor current curves of a tracking bracket in the presence and absence of wind. As shown in FIG. 10, the motor current values are relatively close in most cases, i.e., the influence of the wind speed on the motor current is small in most cases, so that the wind speed correction coefficient R can be set wind Defined as a constant, e.g. R wind =1a. Further, consider extremely high windsIn the case, the wind speed correction coefficient R can be properly amplified wind R is as if the wind speed is greater than 20m/s wind ＝2A。
Unlike wind loads, the effect of snow load on the tracking bracket is mainly reflected in increasing the weight of the tracking bracket and the friction force during rotation, so that the basic relationship between motor drive and snow load is positive. The snow load is considered to be uniformly covered on the photovoltaic module, so that the influence of the snow load on the bracket motor current can be calculated by only obtaining the relation between the snow weight and the snow thickness. On the one hand, the snow thickness correction coefficient can be simply estimated according to the component parametersWherein d is the thickness of the snow on the ground; ρ is the density of snow, typically taken as ρ=0.1; w is the width of the photovoltaic module; l is the length of the photovoltaic module; g is the weight of the photovoltaic module; on the other hand, R corresponding to different snow thickness d can be obtained through multiple measurements snow And fit R to the value of snow A linear function about d. In other words, in the snow thickness correction coefficient curve, the snow thickness correction coefficient R snow The value of (2) may be a function of the snow thickness as a function of: r is R snow =f (d), where d is the ground snow thickness, which can be measured by a snow thickness sensor.
Step S92: and searching a corresponding wind speed correction coefficient from the wind speed correction coefficient table according to the current wind speed.
For example, when the current wind speed is less than 20m/s, the wind speed correction coefficient R wind =1a. When the current wind speed is more than or equal to 20m/s, the wind speed correction coefficient R wind ＝2A。
Step S93: and inputting the current snow thickness into a snow thickness correction coefficient curve to obtain a snow thickness correction coefficient.
For example, the current snow thickness is input into the function f (d), and a snow thickness correction coefficient corresponding to the current snow thickness can be obtained.
Step S94: and multiplying the motor current early warning threshold value by a wind speed correction coefficient and a snow thickness correction coefficient to obtain the final motor current early warning threshold value.
And comparing the current motor current with a final motor current early warning threshold value to judge whether the tracking bracket has faults or not.
According to the photovoltaic tracking bracket fault diagnosis method, the influence of wind speed and snow thickness on motor current is considered, and the motor current early warning threshold value is corrected through the wind speed correction coefficient and the snow thickness correction coefficient. And the current motor current is compared with the corrected motor current early warning threshold value, so that the accuracy of fault diagnosis is improved.
In some embodiments, the method further comprises obtaining a resistance value between the inlet and the outlet of the motor when the tracking bracket is judged to be faulty, judging whether the resistance value is higher than a preset resistance threshold value, if so, judging that the motor is faulty, and otherwise, judging that the bracket structural member is faulty.
The photovoltaic tracking bracket is often in a high-temperature, humid and cold environment, so that the motor is easy to overflow the refrigerating fluid and corrode internal components. When the motor has the problems, the resistance values at the two ends of the inlet and the outlet of the motor are directly increased. Therefore, by setting the resistance threshold value, whether the motor has faults can be further judged. The value of the preset resistance threshold may be set according to practical situations, which is not limited in this application. For example, a direct current motor is generally adopted as the tracking bracket, when the resistance values at the two ends of the inlet and the outlet of the motor exceed 20Ω, the motor can be judged to have faults, otherwise, the motor is judged to have faults of the structural component of the bracket.
According to the photovoltaic tracking bracket fault diagnosis method, when the tracking bracket is diagnosed as faulty, the type of the fault can be further diagnosed through the resistance value between the motor inlet and the motor outlet, and the fault can be positioned by maintenance personnel.
The present application also includes a computer readable medium storing computer program code which, when executed by a processor, implements the photovoltaic tracking stent failure diagnosis method described previously.
When the photovoltaic tracking stent failure diagnosis method is implemented as a computer program, it may also be stored in a computer readable storage medium as an article of manufacture. For example, computer-readable storage media may include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., compact Disk (CD), digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically erasable programmable read-only memory (EPROM), cards, sticks, key drives). Moreover, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.
It should be understood that the embodiments described above are illustrative only. The embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processors may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, and/or other electronic units designed to perform the functions described herein, or a combination thereof.
Some aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. The processor may be one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital signal processing devices (DAPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or a combination thereof. Furthermore, aspects of the present application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media. For example, computer-readable media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, tape … …), optical disk (e.g., compact disk CD, digital versatile disk DVD … …), smart card, and flash memory devices (e.g., card, stick, key drive … …).
The computer readable medium may comprise a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer readable medium can be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer readable medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, radio frequency signals, or the like, or a combination of any of the foregoing.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the above disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations of the present application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this application, and are therefore within the spirit and scope of the exemplary embodiments of this application.
Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present application may be combined as suitable.
In addition, the terms "first", "second", etc. are used to define the components, and are merely for convenience of distinguishing the corresponding components, and unless otherwise stated, the terms have no special meaning, and thus should not be construed as limiting the scope of the present application. Furthermore, although terms used in the present application are selected from publicly known and commonly used terms, some terms mentioned in the specification of the present application may be selected by the applicant at his or her discretion, the detailed meanings of which are described in relevant parts of the description herein. Furthermore, it is required that the present application be understood, not simply by the actual terms used but by the meaning of each term lying within.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.
While the present application has been described with reference to the present specific embodiments, those of ordinary skill in the art will recognize that the above embodiments are for illustrative purposes only, and that various equivalent changes or substitutions can be made without departing from the spirit of the present application, and therefore, all changes and modifications to the embodiments described above are intended to be within the scope of the claims of the present application.
Claims (10)
1. A photovoltaic tracking stent fault diagnosis method, comprising:
establishing a motor current and bracket angle reference table based on operation data of tracking bracket history, wherein the operation data comprises motor current and bracket angle;
acquiring operation data of a previous period of a tracking bracket, and judging the change trend of the angle of the bracket according to the operation data of the previous period, wherein the change trend comprises angle decrease and angle increase;
acquiring current operation data of a tracking bracket, wherein the current operation data comprises current motor current and current bracket angle;
calculating a motor current early warning threshold according to the current bracket angle, the change trend and the motor current and bracket angle reference table;
judging whether the current motor current is higher than the motor current early warning threshold value, and if so, judging that the tracking bracket has faults.
2. The method of claim 1, wherein establishing a motor current versus bracket angle reference table based on operational data tracking bracket history comprises:
acquiring a change curve of motor current along with the angle of the support during normal operation of the tracking support from the historical operation data;
determining the maximum motor current corresponding to each bracket angle according to the change curve;
and adding the first redundancy value to each maximum motor current to obtain a current early warning reference value corresponding to each bracket angle.
3. The method of claim 2, wherein the change curve comprises an angle decrease curve and an angle increase curve, the motor current and bracket angle reference table comprises a first current reference table and a second current reference table, the first current reference table is constructed based on the angle decrease curve, each bracket angle in the first current reference table corresponds to a first current early warning reference value, the second current reference table is constructed based on the angle increase curve, and each bracket angle in the second current reference table corresponds to a second current early warning reference value.
4. The method of claim 3, wherein calculating a motor current warning threshold comprises:
if the change trend is angle decrease, searching a corresponding first current early-warning reference value from the first current reference table according to the current bracket angle, and taking the first current early-warning reference value as a motor current early-warning threshold value; if the change trend is that the angle increases progressively, searching a corresponding second current early-warning reference value from the second current reference table according to the current bracket angle, and taking the second current early-warning reference value as a motor current early-warning threshold value.
5. The method of claim 1, wherein the method further comprises: and correcting the motor current early warning threshold value through the wind speed correction coefficient and the snow thickness correction coefficient to obtain a final motor current early warning threshold value.
6. The method of claim 5, wherein correcting the motor current warning threshold value by a wind speed correction factor, a snow thickness correction factor comprises:
establishing a wind speed correction coefficient table and a snow thickness correction coefficient curve based on the historical operation data and meteorological data;
acquiring a current wind speed, and searching a corresponding wind speed correction coefficient from a wind speed correction coefficient table according to the current wind speed;
acquiring current snow thickness, and inputting the current snow thickness into the snow thickness correction coefficient curve to acquire the snow thickness correction coefficient;
and multiplying the motor current early warning threshold value by the wind speed correction coefficient and the snow thickness correction coefficient.
7. The method as recited in claim 2, further comprising:
adding a second redundancy value to each maximum motor current to obtain a motor current protection threshold corresponding to each bracket angle, wherein the second redundancy value is larger than the first redundancy value;
searching the motor current protection threshold corresponding to the current angle;
judging whether the current motor current is larger than the motor current protection threshold value, and if so, controlling the motor to stop.
8. The method as recited in claim 1, further comprising:
when judging that the tracking bracket has faults, acquiring a resistance value between an inlet and an outlet of the motor, judging whether the resistance value is higher than a preset resistance threshold value, if so, judging that the motor has faults, and otherwise, judging that the bracket structural member has faults.
9. A photovoltaic tracking rack fault diagnosis system, comprising:
the meteorological data acquisition equipment is used for acquiring meteorological data of the position of the photovoltaic tracking bracket and sending the meteorological data to the network control unit;
each tracking bracket controller collects operation data of a corresponding tracking bracket and sends the operation data to the network control unit, wherein the operation data comprise motor current and bracket angles;
the network control unit is respectively in communication connection with the meteorological data acquisition equipment and the plurality of support tracking controllers, and comprises:
a memory for storing the meteorological data and the operational data, and storing instructions executable by the processor; a processor for executing the instructions to implement the method of any one of claims 1-8.
10. A computer readable medium storing computer program code which, when executed by a processor, implements the method of any of claims 1-8.
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| CN202311444721.7A CN117498799A (en) | 2023-11-01 | 2023-11-01 | Photovoltaic tracking bracket fault diagnosis method, system and readable medium |
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| CN202311444721.7A CN117498799A (en) | 2023-11-01 | 2023-11-01 | Photovoltaic tracking bracket fault diagnosis method, system and readable medium |
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