CN106301213A - Solar energy equipment diagnostic method - Google Patents
Solar energy equipment diagnostic method Download PDFInfo
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- CN106301213A CN106301213A CN201510317514.4A CN201510317514A CN106301213A CN 106301213 A CN106301213 A CN 106301213A CN 201510317514 A CN201510317514 A CN 201510317514A CN 106301213 A CN106301213 A CN 106301213A
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention discloses a kind of solar energy equipment diagnostic method, the method comprises: in a very first time, at least one first data of detection at least one solar energy equipment；In one second time, at least one second data of detection at least one solar energy equipment；Calculate at least one first fiducial value between at least one first data and at least one second data；When the absolute value of at least one first fiducial value is more than one first error tolerances, transmit one first warning message；At least a part of which one first data and at least one second data are the data of same units.The method compares the data of the identical solar energy equipment of different time or the data of the different solar energy equipments of identical time, and the data of even one solar energy equipment are compared with the statistical average of multiple solar energy equipments, to carry out the problem detection of solar energy equipment.By above-mentioned diagnostic method, can the data of many-sided comparison solar energy equipment, it is judged that solar energy equipment work is the most normal, and then improves the generating efficiency of solar energy equipment.
Description
Technical field
The present invention is related to a kind of solar energy equipment diagnostic method, a kind of can detect the multiple of solar energy equipment
The diagnostic method of different pieces of information.
Background technology
Since energy crisis, many countries Looking For Substitutions Of Oil the most energetically.Alternative energy source refers to coal, oil, natural
The energy beyond gas nuclear energy etc., it includes wind, the sun, underground heat, tide equal energy source.Wherein, solar energy is inexhaustible
Nexhaustible, TRT can add that conversion efficiency persistently promotes in recent years, many states with the advantage such as building is combined
Family actively promotes subsidy, makes solar module be widely used.
Solar electrical energy generation is different from existing civil power, solar electrical energy generation by multiple solar modules series connection with in parallel with
Output specific voltage and specific currents, the purpose of series connection is to improve output voltage, and parallel connection is then to improve output
Electric current.The most again by direct current power-on box (DC Box) and inverter (Inverter), solar module is produced
Energy conversion be alternating current power supply after, then be incorporated to civil power.
Fig. 6 is the electric current of solar module, voltage and power relation figure.As shown in Figure 6, transverse axis is solar energy
The output voltage of battery module, the longitudinal axis is the output electric current of solar module, and solar module can be because of ring
Border changes and affects its delivery efficiency, and in order to obtain optimal energy utilization efficiency, existing method uses peak power
The technology that point (Maximum Power Point, MPP) is followed the trail of.One is set in solar module there is maximum
The tracker of powerinjected method (MPP tracking) function can detect voltage and the set of currents of solar module at any time
Close.Such as, being provided with maximum power tracing device in inverter, it can be according to the voltage of solar module, electric current
Automatically detect a maximum power point, voltage (Vmp) and the electric current (Imp) of correspondence can be found from MPP point.Vmp is
Output voltage when peak power is extracted；And the output electric current that Imp is peak power when being extracted.MPP point
Change is the most relevant with irradiance and temperature, when irradiance reduces, and Imp electric current step-down, MPP point also step-down.When
When temperature raises, Vmp and peak power the most all reduce.In existing solar module, when environment occurs
During change, by immediately following the trail of the change of Vmp, Imp or maximum power point, solar module is adjusted.
When the corresponding voltage Vmp of peak power Pmax of solar module or electric current Imp does not keep
When a threshold value, maximum power tracing device can transmit a warning message and inform manager, reminds manager to carry out problem
Detection.Utilizing maximum power tracing device, the electricity generation situation of each solar module can only enter with the threshold value of oneself
Row compares.But, under real conditions, the factor affecting solar module generating efficiency is a lot, with for the moment
Between with same weather in the case of, different solar modules likely has different output, it is necessary to for difference
Situation and different solar modules carry out different process.
Accordingly, there exist a kind of demand, design the monitoring method and system of a kind of solar energy equipment generating efficiency, Ke Yiduo
The comparison of aspect, rather than be only through powerinjected method and i.e. judge the quality of solar energy equipment generating efficiency.
Summary of the invention
The purpose of the present invention, at a kind of solar energy equipment diagnostic method of design, compares the same solar energy equipment of different time
In the data of different time, data, judge that solar energy equipment is the most abnormal according to solar energy equipment, and then improve solar energy
The generating efficiency of device.
According to above-mentioned purpose, the present invention provides a kind of solar energy equipment diagnostic method, and it comprises:
In a very first time, at least one first data of detection at least one solar energy equipment；
In one second time, detect at least one second data of this at least one solar energy equipment；
Calculate at least one first fiducial value between these at least one first data and this at least one second data；And
When the absolute value of this at least one first fiducial value is more than one first error tolerances, transmit one first warning message.
Another object of the present invention is providing a kind of solar energy equipment diagnostic method, relatively identical time difference solar energy equipment
Data, judge that one of them solar energy equipment is whether abnormal, to carry out the maintenance of solar plant according to comparative result
Or maintenance.
According to above-mentioned purpose, the present invention provides a kind of solar energy equipment diagnostic method, and it comprises:
In a very first time, at least one first data of detection at least one first solar energy equipment；
In this very first time, at least one second data of detection at least one second solar energy equipment；
Calculate at least one first fiducial value between these at least one first data and this at least one second data；And
When the absolute value of this at least one first fiducial value is more than one first error tolerances, transmit one first warning message；
Wherein these at least one first data and these at least one second data are the data of same units.
Another object of the present invention is providing a kind of solar energy equipment diagnostic method, by the current data of solar energy equipment with too
Sun can the statistical average of device compare, according to comparative result, it is judged that the duty of this solar energy equipment whether with
The duty of multiple solar energy equipments is identical, to judge that current solar energy equipment is the most abnormal.
According to above-mentioned purpose, the present invention provides a kind of solar energy equipment diagnostic method, and it comprises:
Detect one first data of one first solar energy equipment；
Detect multiple second data of this first solar energy equipment；
Calculate one first meansigma methods of those the second data；
Calculate at least one first fiducial value between these first data and this first meansigma methods；And
When the absolute value of this at least one first fiducial value is more than one first error tolerances, transmit one first warning message.
By above-mentioned diagnostic method, can be with the difference between the multiple solar energy equipment of comparison, and can be with comparison solar energy
Multiple data of device, rather than as the most only followed the trail of the difference of the maximum power point of single solar energy equipment, to improve
The generating efficiency of solar energy equipment.
Accompanying drawing explanation
Fig. 1 is the floor map of the solar plant of the present invention.
Fig. 2 is the flow chart of the solar energy equipment diagnostic method of first embodiment of the invention.
Fig. 3 is the flow chart of the solar energy equipment diagnostic method of second embodiment of the invention.
Fig. 4 is the flow chart of the solar energy equipment diagnostic method of third embodiment of the invention.
Fig. 5 is first data bar chart with the second data of a certain solar energy equipment.
Fig. 6 is solar module electric current, voltage and power relation figure.
Drawing reference numeral
10 solar plant
11 solar module tandem 111 solar modules
12 direct current power-on box 13 inverters
14 solar energy equipment diagnostic systems
D1 the first data D2 the second data
D3 the 3rd data D4 the 4th data
C1 the first fiducial value C2 the second fiducial value
Detailed description of the invention
Hereinafter coordinate accompanying drawing and present pre-ferred embodiments, the present invention is expanded on further by reaching what predetermined purpose was taked
Technological means.
Fig. 1 is the plane graph of the solar plant of the present invention.As it is shown in figure 1, solar plant 10 comprises solaode
Module tandem 11, direct current power-on box 12, inverter (inverter) 13 and solar energy equipment diagnostic system 14.At this
In bright, solar module tandem 11 can be with only one of which, but in different embodiments, solar plant 10 is permissible
Comprise multiple solar module tandem 11, do not limit at this.Solar module tandem 11 have multiple
Solar module 111, is formed by connecting with tandem between multiple solar modules 111.Solaode
Module tandem 11 electrically connects direct current power-on box 12, by direct current power-on box 12 by produced by solar module 111
Electric energy collects, and is then sent through inverter 13 and carries out the conversion of DC-AC voltage.The solar energy equipment diagnostic system of the present invention
14 can be arranged on solar module 111, solar module tandem 11, direct current power-on box 12 or inverter
On 13, do not limit at this.For example, solar energy equipment diagnostic system 14 is arranged on solar module 111
On, the data of solar module 111 can be measured, solar energy equipment diagnostic system 14 can also be arranged on whole too
In sun energy battery module tandem 11, to measure the data of solar module tandem.Institute in solar plant 10
There is the measurement target that device can be the solar energy equipment diagnostic system 14 of the present invention, even solar plant 10 itself
Can be the measurement target of diagnostic system 14, rather than only measure the peak power of solar module such as traditional method
Point.
Fig. 2 is the flow chart of the solar energy equipment diagnostic method of first embodiment of the invention.As in figure 2 it is shown, it is real first
Execute in example, by relatively identical solar energy equipment in the data of different time, diagnose whether this solar energy equipment occurs
Abnormal.In step s 201, within a very first time, at least one first data D1 of detection at least one solar energy equipment.
The unit of the very first time can be the second, point, time, sky, the moon, season or year, do not limit at this, and solar energy equipment
The first data D1 can be data (such as voltage, electric current, the solar energy equipment generating efficiency of direct current (DC)
(kWh/kWp/h) generating (kWh/kWp) of, every kilowatt-hour (kWh), per unit device amount, the generating of moment (kW)
Deng), exchange (AC) data (such as voltage, electric current, solar energy equipment generating efficiency (kWh/kWp/h), every kilowatt
Hour (kWh), the generating (kWh/kWp) of per unit device amount, the generating of moment (kW) etc.), temperature data, environment
Factor data, resistance data or leakage data etc..The direct current of any solar energy equipment or the electrical parameter of exchange, appoint
The data of what envirment factor data, any resistance or any leakage current all can be as the data of the present invention, the not office at this
Limit.For example, when the first data D1 are magnitudes of voltage, can be to measure the unidirectional current that solar module is exported
Press or via converted alternating voltage.When first data D1 are temperature values, it can be the temperature of solar energy equipment entirety
Degree, or solar energy equipment internal electronic element is (such as module, inverter, chopper, diode, electric fuse, end
Stroma, surge absorber, electric wire, direct current power-on box, exchange power-on box (AC Box) etc.) temperature, can pass through
Temperature-sensitive sticker is set at the position of requirement testing temperature, the temperature at this position can be detected.First data D1 are environment
During the numerical value of the factor, can be sunshine, humidity, temperature, wind speed or blast etc..When first data D1 are resistance values,
Can be DC ground resistance, AC earth resistance or series resistance etc..When first data D1 are leakage current value, permissible
It is the leakage current of inverter, it is also possible to be the earth leakage stream of DC dish, AC dish, DC end or AC end.First solar energy dress
Putting can be that solar module, solar module tandem, peak power for solar module chase after
Inverter that track device, solar energy are used or solar plant etc., and the quantity of the first solar energy equipment can be one
Above or two or more, its generated energy is at 1KW～1GW.
Refering to Fig. 2, in step S202, within one second time, detect at least the one of this at least one solar energy equipment
Second data D2, in this embodiment, the very first time was different from for the second time.First data D1 and the second data D2
For the data of same units, the such as first data D1 and the second data D2 are all temperature value or the first data D1 and the second number
It is all magnitude of voltage etc. according to D2.Then, in step S203, calculate between the first data D1 and the second data D2 at least
One first fiducial value C1.In an embodiment of the present invention, this first fiducial value C1 is the first data D1 and the second data D2
Between difference percentage, its algorithm can be C1=((D2 D1)/D1) × 100%, but in different embodiments, should
First fiducial value C1 can be the calculating number calculating and being different from difference percentage between the first data D1 and the second data D2
Value, does not limit at this.
In step S204, when the absolute value (| C1 |) of the first fiducial value C1 is more than one first error tolerances, transmit
One first warning message is to manager, and solar energy equipment or its inner member may have exception to allow manager know, needs
Check and adjust.For example, in one embodiment, error tolerances is 1%, if | C1 | 1%, transmits
Warning message is to manager.It addition, warning message can pass through news in brief, phone, Email, handset software,
The mode transmission such as non-handset software or communication software, but do not limit at this.
In the first embodiment of the present invention, in order to confirm whether this solar energy equipment occurs exception, only by comparing one
Planting the difference of data, such diagnostic method may be the most accurate.Therefore, in the diagnostic method of the present invention, enter one
Step comprises the steps of.In step S205, at least the one the 3rd of the 3rd this at least one solar energy equipment of time detecting
Data D3, and in step S206, at least one the 4th data D4 of the 4th this at least one solar energy equipment of time detecting.
Then, in step S207, at least between these at least one the 3rd data D3 and this at least one the 4th data D4 is calculated
Second fiducial value C2.Then, in step S208, when the absolute value of this at least one second fiducial value C2 is more than one second
Error tolerances, transmits the second warning message to manager.Further by calculating the second fiducial value, confirm solar energy
Really there is exception in device.It addition, in the first embodiment, the very first time can be equal to the 3rd time, or second
Time can be equal to for the 4th time, but does not limit at this.
For example, the unit of the first data D1 and the second data D2 is magnitude of voltage, when manager receives the first warning
During information, understand the voltage of solar energy equipment it may happen that exception, in order to confirm that solar energy equipment really has unusual condition
Occurring, manager detects the 3rd data D3 and the 4th data D4 of solar energy equipment, the 3rd data D3 and the 4th further
The unit of data D4 can be magnitude of voltage equally, or the 3rd data D3 and the 4th data D4 can be current value, temperature
Value or envirment factor etc. are different from the data of the unit of the first data D1 and the second data D2.By detection the 3rd data D3
With the 4th data D4 to confirm that solar energy equipment the most really occurs exception.But, above-mentioned explanation is only to emphasize this
Bright diagnostic method can calculate the second fiducial value C2 further, confirms that solar energy equipment really occurs exception, rather than
The diagnostic method of the limitation present invention only calculates the first fiducial value C1 and the second fiducial value C2.In different embodiments, management
Person more can calculate more than two fiducial values, more further confirms whether solar energy equipment occurs exception.
Fig. 3 is the flow chart of the solar energy equipment diagnostic method of second embodiment of the invention.As it is shown on figure 3, it is real second
Executing in the diagnostic method of example, by the data of relatively different solar energy equipments, diagnosing one of them solar energy equipment is
No generation is abnormal.In step S301, in a very first time, at least the one of detection at least one first solar energy equipment the
One data D1, and in step s 302, in this very first time, at least the one of detection at least one second solar energy equipment the
Two data D2.For example, the first solar energy equipment and the second solar energy equipment can be same solar plant respectively
Different elements, the first solar energy equipment and the second solar energy equipment can also be respectively two different solar plant or
Two different elements of single power plant, do not limit at this.Then, in step S303, the first data D1 are calculated
And at least one first fiducial value C1 between the second data D2.In step s 304, when the absolute value of the first fiducial value C1
More than one first error tolerances, transmit one first warning message.First data D1 and the second data D2 are same units
Data, for example the first data D1 and the second data D2 are all magnitude of voltage.
But, in different embodiments, abnormal in order to further confirm that solar energy equipment occurs, examining of the second embodiment
Disconnected method further includes the following step.In step S305, in one second time, detect this at least one first solar energy dress
At least one put the 3rd data D3, and in step S306, in this second time, detect this at least one second solar energy
At least the one of device the 4th data D4.Then, in step S307, these at least one the 3rd data D3 are calculated with this at least
At least one second fiducial value between one the 4th data D4.In a second embodiment, the 3rd data D3 are calculated further
And the second fiducial value C2 between the 4th data D4, confirms that the second fiducial value C2 is the most excessive.In step S308,
When the absolute value of this at least one second fiducial value C2 is more than one second error tolerances, transmit one second warning message with really
Recognize this at least one first solar energy equipment and occur abnormal.The very first time can be equal to for the second time, but in different embodiments
In, the very first time can be not equal to for the second time.
For example, the first data and the second data are magnitude of voltage, and the 3rd data and the 4th data are current value.Work as pipe
Reason person finds that the magnitude of voltage difference of the first solar energy equipment and the second solar energy equipment is excessive, in order to further confirm that first
The most really there is exception in solar energy equipment or the second solar energy equipment, manager compares the first solar energy equipment and second
Whether difference is the most excessive for the current value of solar energy equipment.If the first solar energy equipment and the current value of the second solar energy equipment
Difference is the most excessive, confirms that the first solar energy equipment or the second solar energy equipment occur abnormal, and manager can keep in repair
Or failture evacuation.If the current value difference of the first solar energy equipment and the second solar energy equipment is allowed less than the second error
Value, the magnitude of voltage of the first solar energy equipment and the second solar energy equipment is abnormal is probably erroneous judgement, and manager is without tieing up
Repair or failture evacuation.Or, in different embodiments, manager more can calculate the 3rd fiducial value, further than
The most excessive compared with the difference between the first solar energy equipment and the another kind of data of the second solar energy equipment, further
Confirm that the first solar energy equipment or the second solar energy equipment the most really occur exception.In the present invention, the number of times compared
Can more than once, and the data every time compared are different, confirm solar energy equipment by many repeatedly comparison
Whether there is exception.
It addition, in different embodiments, by the second solar energy equipment of at least in step S306 with at least one the 3rd too
Sun can replace by device, at least one the 4th data of detection at least one the 3rd solar energy equipment.When the first solar energy equipment
When fiducial value between first data and the second data of the second solar energy is more than error tolerances, the solar energy of the present invention
Device diagnostic method is except the 4th of the 3rd data Yu the second solar energy equipment that can compare the first solar energy equipment again the
Difference between data, or the 3rd data of the first solar energy equipment and the 4th of the 3rd solar energy equipment the can be compared
Difference between data, the second solar energy equipment and the 3rd solar energy equipment are different solar energy equipments.For example,
When manager finds that the data between the first solar energy equipment and the second solar energy equipment are variant, manager is except can
To compare other data between the first solar energy equipment and the second solar energy equipment further, manager can also enter one
It is the most variant, to confirm first sun that step compares the data between the first solar energy equipment and the 3rd solar energy equipment
Can device whether fault or abnormal case produce.
Fig. 4 is the flow chart of the solar energy equipment diagnostic method of third embodiment of the invention.As shown in Figure 4, real the 3rd
Execute in the diagnostic method of example, by the data of the first solar energy equipment and the first solar energy equipment and at least one second sun
The statistical average of energy device compares, or by the data of the first solar energy equipment and multiple second solar energy equipments
Statistical average compare, diagnose whether this solar energy equipment occurs exception.
In step S401, one first data D1 of detection one first solar energy equipment, and in step S402, detection
Multiple second data D2 of multiple second solar energy equipments, can comprise the first solar energy dress in multiple second solar energy equipments
Put or do not comprise the first solar energy equipment, not limiting at this.Then, in step S403, the plurality of second is calculated
One first meansigma methods of data D2.In step s 404, at least between the first data D1 and the first meansigma methods is calculated
First fiducial value.In step S405, when the absolute value of the first fiducial value is more than one first error tolerances, transmit one
First warning message.In this embodiment, the first data D1 and the second data D2 are the data of same units, such as
One data D1 and the second data D2 are all magnitude of voltage.
But, in different embodiments, abnormal in order to further confirm that the first solar energy equipment occurs, the 3rd embodiment
Diagnostic method further include the following step.In step S406, detect the 3rd data D3 of the first solar energy equipment, and
In step S 407, multiple 4th data D4 of multiple 3rd solar energy equipment, plurality of 3rd solar energy dress are detected
Put can comprise or not comprise the first solar energy equipment with or the second solar energy equipment, do not limit at this.Then, in step
In rapid S408, calculate the second meansigma methods of the plurality of 4th data D4.In S409, calculate the 3rd data D3 and second
Between meansigma methods at least one second fiducial value.In a second embodiment, the 3rd data D3 and second flat are calculated further
The second fiducial value between average, checks that the second fiducial value is the most excessive.In step S410, when the second fiducial value
Absolute value more than one second error tolerances, transmit one second warning message to confirm that this first solar energy equipment occurs
Abnormal.
In this embodiment, the first solar energy equipment and the 3rd solar energy equipment are the solar energy equipment of same alike result, and
First data D1 of the first solar energy equipment and the 3rd data D3 can be data or the numbers of non-commensurate of same units
According to, the such as first data D1 can be magnitude of voltage, and the 3rd data D3 can be magnitude of voltage or current value, at this not
Limitation.If it addition, the 4th data D4 of the 3rd data D3 of the first solar energy equipment and the 3rd solar energy equipment is average
Different second error tolerances that is less than of value difference, the magnitude of voltage of the first solar energy equipment is abnormal is probably erroneous judgement, manager without
Carry out keeping in repair or failture evacuation.If the 3rd data D3 of the first solar energy equipment and the 4th data of the 3rd solar energy equipment
The mean difference of D4 is more than the second error tolerances, then can confirm that the first solar energy equipment is abnormal, and manager carries out the
The maintenance of one solar energy equipment or failture evacuation.
It addition, in different embodiments, manager can in step S 407 by the 3rd solar energy equipment with second sun
Can replace by device.By the 3rd data D3 of the first solar energy equipment and multiple second solar energy equipments the 4th data D4
Meansigma methods make comparisons, confirm whether the first solar energy equipment occurs abnormal or be only erroneous judgement.Or, manager more may be used
To calculate the 3rd fiducial value, further compare between the data of the first solar energy equipment and another kind of statistical average
Difference is the most excessive, further confirms that the first solar energy equipment the most really occurs exception.In the present invention, than
Number of times relatively can more than once or twice, and the data every time compared can also be different, by many repeatedly
Relatively confirm whether solar energy equipment occurs exception.
Fig. 5 shows the first data D1 and the bar chart of the second data D2 of a certain solar energy equipment.As it is shown in figure 5, at this
In bar chart, transverse axis is the date, and the longitudinal axis can be D/C voltage, AC voltage, temperature, envirment factor, resistance or electric leakage
The numerical value such as stream, do not limit at this.In an embodiment of the present invention, respectively using on January 3rd, 2015 (as first
Time) several as first with the numerical value of a certain solar energy equipment measured on January 4th, 2015 (as the second time)
According to D1 and the second data D2, then calculate the difference percentage between the first data D1 and the second data D2.By this difference
Percentage ratio and an error tolerances are compared, if the absolute value of difference percentage is more than error tolerances, then transmit warning letter
Breath is to manager.
Although the technology contents of the present invention is disclosed above with preferred embodiment, so it is not limited to the present invention,
Relevant technical staff in the field, is made a little change and retouching in the spirit without departing from the present invention, all should be covered by this
In the category of invention, therefore protection scope of the present invention is when being as the criterion depending on upper attached those as defined in claim.
Claims (10)
1. a solar energy equipment diagnostic method, it is characterised in that described method comprises:
In a very first time, at least one first data of detection at least one solar energy equipment；
In one second time, at least one second data of at least one solar energy equipment described in detection；
At least one first fiducial value between at least one first data and described at least one second data described in calculating；And
When the absolute value of described at least one first fiducial value is more than one first error tolerances, transmit one first warning letter
Breath；
Wherein said at least one first data and described at least one second data are the data of same units.
Solar energy equipment diagnostic method the most according to claim 1, it is characterised in that described method further includes:
In one the 3rd time, at least one the 3rd data of at least one solar energy equipment described in detection；
In one the 4th time, at least one the 4th data of at least one solar energy equipment described in detection；
At least one second fiducial value between at least one the 3rd data and described at least one the 4th data described in calculating；And
When the absolute value of described at least one second fiducial value is more than one second error tolerances, transmit one second warning message
Occur abnormal with at least one solar energy equipment described in confirmation；
Wherein said at least one the 3rd data and described at least one the 4th data are the data of same units.
Solar energy equipment diagnostic method the most according to claim 1, it is characterised in that by news in brief, phone,
Email, handset software, non-handset software or communication software transmit described first warning message.
4. a solar energy equipment diagnostic method, it is characterised in that described method comprises:
In a very first time, at least one first data of detection at least one first solar energy equipment；
In the described very first time, at least one second data of detection at least one second solar energy equipment；
At least one first fiducial value between at least one first data and described at least one second data described in calculating；And
When the absolute value of described at least one first fiducial value is more than one first error tolerances, transmit one first warning letter
Breath；
Wherein said at least one first data and described at least one second data are the data of same units.
Solar energy equipment diagnostic method the most according to claim 4, it is characterised in that described method further includes:
In one second time, at least one the 3rd data of at least one first solar energy equipment described in detection；
In described second time, at least one the 4th data of at least one second solar energy equipment described in detection；
At least one second fiducial value between at least one the 3rd data and described at least one the 4th data described in calculating；And
When the absolute value of described at least one second fiducial value is more than one second error tolerances, transmit one second warning message
Occur abnormal with at least one first solar energy equipment described in confirmation；
Wherein said at least one the 3rd data and described at least one the 4th data are the data of same units.
Solar energy equipment diagnostic method the most according to claim 4, it is characterised in that in described second time,
In the step of at least one the 4th data of at least one second solar energy equipment described in detection, by described at least one second sun
At least one the 3rd solar energy equipment can be replaced with by device, and described first solar energy equipment is with described at least one the 3rd too
Sun can device be the solar energy equipment of same alike result.
7. a solar energy equipment diagnostic method, it is characterised in that described method comprises:
Detect one first data of one first solar energy equipment；
Detect multiple second data of multiple second solar energy equipment；
Calculate one first meansigma methods of described second data；
Calculate at least one first fiducial value between described first data and described first meansigma methods；And
When the absolute value of described at least one first fiducial value is more than one first error tolerances, transmit one first warning letter
Breath.
Solar energy equipment diagnostic method the most according to claim 7, it is characterised in that described method further includes:
At least one the 3rd data of at least one first solar energy equipment described in detection；
Detect multiple 4th data of multiple 3rd solar energy equipment；
Calculate one second meansigma methods of described 4th data；
At least one second fiducial value between at least one the 3rd data and described second meansigma methods described in calculating；And
When the absolute value of described at least one second fiducial value is more than one second error tolerances, transmit one second warning message
Occur abnormal with at least one first solar energy equipment described in confirmation.
Solar energy equipment diagnostic method the most according to claim 8, it is characterised in that in detection the described 3rd
In the described step of described 4th data of solar energy equipment, described 3rd solar energy equipment is replaced with described second too
Sun can device.
Solar energy equipment diagnostic method the most according to claim 7, it is characterised in that described second solar energy
Device comprises described first solar energy equipment.
Priority Applications (1)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109301859A (en) * | 2018-09-10 | 2019-02-01 | 许继集团有限公司 | Distributed photovoltaic power generation station generating efficiency monitoring method and system |
| CN115642878A (en) * | 2022-11-16 | 2023-01-24 | 国网山东省电力公司莱西市供电公司 | Fault detection method and device for solar cell panel |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101061220B1 (en) * | 2010-11-25 | 2011-08-31 | 한양전공주식회사 | Method for monitoring solar power plant, and monitoring device used therein |
| JP2012134491A (en) * | 2010-12-17 | 2012-07-12 | General Electric Co <Ge> | Systems and methods for identifying faulty sensors within power generation system |
| KR101337727B1 (en) * | 2010-01-19 | 2013-12-06 | 도꾸리츠교우세이호우진 산교기쥬츠소우고겐큐쇼 | Evaluation method for solar power generation system, evaluation device, and computer readable recording medium for evaluation program |
| JP2014045073A (en) * | 2012-08-27 | 2014-03-13 | Hitachi Ltd | Troubleshooting method for photovoltaic power generating system |
-
2015
- 2015-06-11 CN CN201510317514.4A patent/CN106301213A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101337727B1 (en) * | 2010-01-19 | 2013-12-06 | 도꾸리츠교우세이호우진 산교기쥬츠소우고겐큐쇼 | Evaluation method for solar power generation system, evaluation device, and computer readable recording medium for evaluation program |
| KR101061220B1 (en) * | 2010-11-25 | 2011-08-31 | 한양전공주식회사 | Method for monitoring solar power plant, and monitoring device used therein |
| JP2012134491A (en) * | 2010-12-17 | 2012-07-12 | General Electric Co <Ge> | Systems and methods for identifying faulty sensors within power generation system |
| JP2014045073A (en) * | 2012-08-27 | 2014-03-13 | Hitachi Ltd | Troubleshooting method for photovoltaic power generating system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109301859A (en) * | 2018-09-10 | 2019-02-01 | 许继集团有限公司 | Distributed photovoltaic power generation station generating efficiency monitoring method and system |
| CN115642878A (en) * | 2022-11-16 | 2023-01-24 | 国网山东省电力公司莱西市供电公司 | Fault detection method and device for solar cell panel |
| CN115642878B (en) * | 2022-11-16 | 2023-02-28 | 国网山东省电力公司莱西市供电公司 | Fault detection method and device for solar cell panel |
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