CN106160659B - A kind of photovoltaic plant region orients method for diagnosing faults - Google Patents
A kind of photovoltaic plant region orients method for diagnosing faults Download PDFInfo
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- CN106160659B CN106160659B CN201610717053.4A CN201610717053A CN106160659B CN 106160659 B CN106160659 B CN 106160659B CN 201610717053 A CN201610717053 A CN 201610717053A CN 106160659 B CN106160659 B CN 106160659B
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000003745 diagnosis Methods 0.000 claims abstract description 20
- 238000010191 image analysis Methods 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000002405 diagnostic procedure Methods 0.000 claims abstract description 5
- 238000013480 data collection Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims abstract 2
- 238000004891 communication Methods 0.000 claims description 18
- 230000036541 health Effects 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 12
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 description 5
- 230000007257 malfunction Effects 0.000 description 5
- 230000007812 deficiency Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 2
- 241000935974 Paralichthys dentatus Species 0.000 description 1
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- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- 239000000428 dust Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 238000002329 infrared spectrum Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 229910052697 platinum Inorganic materials 0.000 description 1
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- 238000013517 stratification Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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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 present invention discloses a kind of photovoltaic plant region orientation method for diagnosing faults, first, the power station performance data collection platform for being integrated with data collecting system, assembly position system and Database Systems is built, gathers the call parameter needed for the performance monitoring of power station for being used during fault diagnosis；Secondly, by it is a kind of be integrated with autonomous unmanned plane, thermal infrared analytical equipment on-site detecting device, infrared scan is carried out to component, and determine according to on-site detecting device coordinate information the module information of image；Again, face image analysis system is configured, is analyzed by thermal infrared imagery and determines that component whether there is hot spot；Finally, fault diagnosis platform is established, corresponding diagnostic method is taken according to image analysing computer result.Region proposed by the present invention orients method for diagnosing faults, can realize power failure region instant analysis, and processing speed is fast, reliability is high, power station operation cost is also reduced simultaneously, is advantageous to the safe and highly efficient operation of photovoltaic plant, is advantageous to the safety of protection power station operating personnel.
Description
Technical field
The present invention relates to field of solar energy, especially a kind of photovoltaic plant region orientation method for diagnosing faults.
Background technology
The running environment of photovoltaic plant is complicated and changeable, electric power station system is occurred unstability, such as component in the process of running
Cell piece is hidden to be split, terminal box aging loose contact, fixed shelter such as birds droppings and dust stratification etc. occurs, is caused power station mismatch occur and is showed
As also resulting in security incident when serious.Meanwhile photovoltaic cable aging, inverter can not open etc. non-array failure certainly after shutting down,
And an important factor for influenceing photovoltaic plant stability and security.Therefore, photovoltaic plant is monitored particularly significant.
Because array is the more link that breaks down, when occur cell piece it is hidden split, component touch is bad or mismatch
When, associated component will be become to load and heating of consuming energy by power supply.Therefore, at present, conventional way is to use the infrared heat of hand-held
Imager carries out inspection to photovoltaic array.Following defect be present in this way：(1) photovoltaic plant due to geographical environment limit, and
Not necessarily suitable power plant operation personnel are in the action operation.(2) large-sized photovoltaic power station component count is more, and floor space is big, personnel
The problems such as configuration is few, and personal monitoring can cause the cycle to be grown, and efficiency is low, and testing result lags.(3) monitoring of photovoltaic array is general all
It is to carry out in the operating condition, the hyperbaric environment of DC side has larger potential safety hazard to testing staff.(4) can not be from entirety
Angle makes assessment to electric power station system
To solve the above problems, performance monitoring platform has been built in part power station, whether located using related algorithm checking system
In malfunction.There is also following some deficiencies for this way：(1) the Monitoring Data amount of large-scale power station is huge, causes amount of calculation
Greatly, calculating speed is slow, and algorithm stability is poor.(2) only it just can determine that event occurs in power station when result of calculation triggers fault threshold
Barrier, and at this moment often mean that catastrophe failure problem occurs in power station, algorithm sensitivity is poor.
Therefore, it is necessary to design a kind of photovoltaic plant performance monitoring system, its stability and security are improved, to ensure light
Overhead utility is safely and efficiently run.
The content of the invention
For above-mentioned deficiency, the present invention proposes a kind of photovoltaic plant region orientation method for diagnosing faults, to solve photovoltaic electric
The shortcomings of Site Detection difficulty of standing is big, testing result lags, performance monitoring platform is insensitive and stability is poor.
To achieve these goals, the present invention is to realize by the following technical solutions：
A kind of photovoltaic plant region orients method for diagnosing faults, it is characterised in that comprises the following steps：
A. build and be integrated with the power station performance data collections of data collecting system, assembly position system and Database Systems and put down
Platform；The necessary detection data of electric station DC side and AC are gathered by the data collecting system；Positioned by the component
System is positioned and numbered to each block assembly of photovoltaic plant, meanwhile, the data to collect add coordinate information；It is described
Database Systems are used to store the measured data for including coordinate information so that fault diagnosis uses；
B. by one be integrated with autonomous unmanned plane, thermal infrared analytical equipment on-site detecting device, to component carry out it is infrared
Scanning；Using autonomous unmanned plane as carrier, autonomous unmanned plane independently can fly the on-site detecting device in landing, cruise, regulation
Row posture, original place take off vertically and hovered, and can receive artificial operational order；In addition, the autonomous unmanned plane can also be real
When camera parameter is set；The thermal infrared analytical equipment is professional thermal infrared analyzer, is integrated with automaton, control heat
Infrared spectrum analyser works and transmits photovoltaic module infrared image to image analysis system；
C. face image analysis system is configured, receives photovoltaic module infrared image, and it is red to analyze the photovoltaic module received
Outer image whether there is hot spot, and analysis result is sent to fault diagnosis platform and synchronously stored to database；
D. fault diagnosis platform is established, the fault diagnosis platform is built based on PHM technologies, using horse field algorithm, with strong
Kang Du HD numerical value represents diagnostic result, and specific diagnostic method is as follows：
According to hot spot neighborhood search scope inner assembly coordinate information, determine that neighborhood inner assembly is numbered.When being occurred according to hot spot
Between and component numerals, related measured data w in called data storehouse1.Start emulation module, according to w1Middle environment parameter acquiring neighborhood
Health data w2。
Mahalanobis distance values of the MD between measured data and health data, it is assumed that power station data dimension is n, then measured data
Vector is yi=(yi1,yi2,…,yin), calculate itself and w2Between mahalanobis distance be：
Wherein,For the overall w of health2Data vector.
Select suitable two-level orthogonal array, and by n w1Characteristic component be arranged into each row of orthogonal arrage.For orthogonal
Every a line of table, according to the level of each characteristic component, uses w2In sample vector construct a reference spaceWherein i is represented
The line number of orthogonal arrage.For the reference space of every a lineCalculate w1Middle data vector is to w2Mahalanobis distance value MDi1,
MDi2,…,MDiN.Thus signal to noise ratio is calculated：
Signal to noise ratio ηqThe horizontal characteristic component for " 1 " is illustrated in orthogonal arrage q rows to w1The identification of middle measured data vector
Effect, ηqBigger explanation recognition effect is better.By more each characteristic component in two horizontal signal to noise ratio average tj=Tj/ m (j=2,
1；TjFor signal to noise ratio sum of certain measured data component under horizontal j；M is same level number of repetition) carry out validity feature choosing
Select, so as to judge whether failure.Work as t1-t2During ＞ 0, this feature component has larger contribution degree, is validity feature, should
To retain；Conversely, this feature should give rejecting.
Finally, mahalanobis distance is normalized to obtain equipment health degree (HD), normalized function form is as follows：
Wherein, c0Determined based on health data and corresponding HD threshold values, its formula is as follows：
Wherein, Mean (MDnormal) it is health data MD averages, HDpreFor corresponding HD setting values, this hair under normal condition
HD is taken in brightpre=0.95, c can be obtained0=0.03, i.e.,
The diagnostic platform takes different diagnostic methods according to the analysis result of the image analysis system, specifically such as
Under：
When 0.85<HD<When 1, i.e., when component is without hot spot, it is believed that system is in unfaulty conditions, and diagnostic platform timing is right
Than DC side with exchange side data to judge to conflux, inversion link running status；Work as HD<When 0.85, that is, there is hot spot information, examine
Disconnected platform alert, operating personnel take corresponding measure according to diagnostic result：(1) when 0.65<HD<It is when 0.85, i.e., hot
When spot problem is lighter, it is believed that system is in slight correct malfunction, should take maintenance measure in time, operating personnel pass through auxiliary control
System sets on-site detecting device inspection in neighborhood for a period of time, further to be observed；(2) HD is worked as<When 0.65,
When i.e. hot spot problem is serious, it is believed that system is in serious correct malfunction, should take maintenance measure immediately, and operating personnel start
Region diagnostic mode, hot spot module position is determined according to the assembly position system, centered on hot spot component, carry out region heat
Spot is searched for, and determines hot spot neighborhood, is transferred group string parameter in neighborhood and is carried out fault diagnosis and output result, and operating personnel are according to examining
Disconnected result takes corresponding measure；No matter which kind of method is selected, and operating personnel must carry out failure reset operation.
E. after receiving failure reset signal, the on-site detecting device rechecks hot spot neighborhood on time, to ensure failure problems
Properly settled.
Data collecting system is used for the DC side and AC for gathering, transmitting and showing electric power station system in above-mentioned steps a
Necessity detection data, after feeding microcontroller is pre-processed, remote computer is sent into by communication interface, and sit in addition
Database purchase and display are sent into after marking information；The process chip of the data collecting system uses microcontroller, and coordinates AD
Sampling A/D chip；The communication interface of the data collecting system uses RS-485 communication interfaces.
The necessary detection data of above-mentioned DC side include a group string voltage, group string electric current, component backboard temperature, horizontal irradiation,
Coplanar irradiation, environment temperature, ambient humidity, wind speed, wind direction and atmospheric pressure, the necessary detection data of the AC are inverter
DC side electric current, inverter ac side electric current and inverter efficiency.
Further, DC voltage isolating transmitter and DC current pick-up is respectively adopted in the voltage of photovoltaic array, electric current
Thermistor is selected in device, the collection of photovoltaic component back plate temperature, and the collection of irradiance data is from direct projection irradiation instrument and scattering spoke
The mode being combined according to instrument, the measurement of wind speed, wind direction are matched somebody with somebody from wind speed, wind transducer and wind speed transducer, wind direction transmitter
The mode used is closed, the signal of each sensor output is sent into the analog-digital converter of microcontroller after modulate circuit is handled
(ADC) in, microcontroller timing is sampled, handled, being transmitted.
Above-mentioned exchange side inverter data are gathered by intelligent power transmitter, and communication interface is RS-485 serial communication marks
Standard, communications protocol are standard MODBUS agreements.
Assembly position system in above-mentioned steps a uses GPS positioning system, is installed on each component of power station array
GPS location tracks of device, component is positioned by GPS positioning system, obtain the coordinate information of its geographic location, and by component
Numbering, its corresponding coordinate information is stored according to component numerals；The Database Systems are the SQL database system based on cloud platform
System.
Image analysis system in above-mentioned steps c is binocular vision system.
The present invention has the advantages that compared with prior art：
The present invention proposes a kind of photovoltaic plant region orientation method for diagnosing faults, compensate for existing method in power failure
Deficiency in terms of O＆M.The method searched for GPS positioning system and hot spot, and the on-site detecting device based on unmanned plane is combined,
The quick instant analysis in power station region is realized, not only increases the reaction accuracy and speed to failure, while also reduces power station operation
Cost, be advantageous to the safe and highly efficient operation of photovoltaic plant, be advantageous to the safety of protection power station operating personnel.
Brief description of the drawings
The region that Fig. 1 is the present invention orients Troubleshooting Flowchart；
Fig. 2 is data collecting system block diagram；
Fig. 3 is horse field system diagnostics flow chart.
Embodiment
To be easy to understand the technical means, the inventive features, the objects and the advantages of the present invention, with reference to
The drawings and specific embodiments, the present invention is expanded on further.
As shown in figure 1, a kind of photovoltaic plant efficiency decay Forecasting Methodology, comprises the following steps：
A. build and be integrated with the power station performance data collections of data collecting system, assembly position system and Database Systems and put down
Platform.The necessary detection data of electric station DC side and AC are gathered by data collecting system, by alignment system to photovoltaic electric
The each block assembly stood is positioned and numbered, while the data to collect add coordinate information, and Database Systems are used to store up
Measured data of the bag deposit containing coordinate information uses for fault diagnosis.
B. by it is a kind of be integrated with autonomous unmanned plane, thermal infrared analytical equipment on-site detecting device, to component carry out it is red
Outer scanning, for the device using autonomous unmanned plane as carrier, unmanned plane need to have autonomous cruise, adjust flight attitude work(and can receive
The function of manual operation instruction, meanwhile, there is the function of setting camera parameter in real time, thermal infrared analytical equipment is professional thermal infrared
Analyzer, automaton is integrated with, controls thermal infrared analyzer to work and transmit the image to impact analysis system.
C. face image analysis system is configured, by analyzing the photovoltaic module infrared image received and analyzing whether it deposits
In hot spot, analysis result is sent to fault diagnosis platform and synchronously stored to database.
D. fault diagnosis platform is established.Diagnostic platform takes different Diagnostic Strategies according to image analysing computer result.Work as component
It is the link running statuses such as platform timing comparing DC side and AC parameter are to judge to conflux, inversion without hot spot.It is hot when occurring
During spot information, diagnostic platform alert.Operating personnel take corresponding measure according to diagnostic result：(1) when hot spot problem
When serious, operating personnel can starting region diagnostic mode, hot spot module position is determined according to alignment system, using hot spot component in
The heart, region hot spot search is carried out, and determine hot spot neighborhood, transferred group string parameter in neighborhood and carry out fault diagnosis and output result；
(2) when hot spot problem is lighter, operating personnel can set on-site detecting device in neighborhood during one section of inspection by auxiliary control system
Between, further observed.No matter which kind of mode is selected, and operating personnel must carry out failure reset operation.
E. after receiving failure reset signal, on-site detecting device rechecks hot spot neighborhood on time, to ensure that failure problems obtain
Properly settle.
Data collecting system is used for the necessary inspection for gathering, transmitting and showing electric power station system DC side and AC in step a
Data are surveyed, is then fed into after microcontroller pre-processed, remote computer is sent into by communication interface, and in addition coordinate letter
Database purchase and display are sent into after breath, as shown in Figure 2.
Data collecting system micro-chip processor uses TMS320F28012 in step a, and coordinates 16 single channel AD samplings
Chip.
Data collecting system AD sampling A/D chips use ATMEL AD7663 in step a.
The communication interface of data collecting system uses RS-485 communication interfaces in step a.
The necessary detection data of DC side include group string voltage, group string electric current, component backboard temperature, horizontal spoke in step a
According to, coplanar irradiation, environment temperature, ambient humidity, wind speed, wind direction and atmospheric pressure etc., the necessary detection data of AC are inversion
Device DC side electric current, inverter ac side electric current and inverter efficiency.
Preferably, DC voltage isolating transmitter and DC current is respectively adopted in voltage, the electric current of photovoltaic array in step a
Transmitter.PT100 platinum resistance thermometer sensor,s are selected in the collection of photovoltaic component back plate temperature.Jinzhou sunlight gas is selected in the collection of irradiance data
The mode being combined as the TBQ-2 types pyranometer and DL-2 type normalized current transmitters of scientific ＆ technical corporation.The measurement of wind speed and direction
From the EC-8SX type integration wind speed wind direction sensors and wind speed transducer, wind direction transmitter of Jinzhou sunlight Meteorological Science And Technology company
The mode being used cooperatively.The signal of each sensor output is sent into master controller TMS320F2812 after modulate circuit is handled
Analog-digital converter (ADC) in.Master controller TMS320F2812 timings are sampled, handled, being transmitted.
Preferably, power station exchange side inverter data are gathered by intelligent power transmitter in step a, and communication interface is
RS-485 serial communications, communications protocol are standard MODBUS agreements.
Preferably, alignment system uses GPS positioning system in step a, and GPS is installed on each component of power station array and is determined
Position tracks of device, component is positioned by GPS positioning system, obtain the coordinate information of its geographic location, and by component numerals.
Its corresponding coordinate information is stored according to component numerals.
Preferably, Database Systems use the SQL database system based on cloud platform, cloud platform storage space in step a
Greatly, it is high to store quality, there is the ability with the real-time, interactive of computer and save local spatial, mitigate local device pressure.
Preferably, autonomous unmanned plane uses DJI Inspire 1RAW in step b, independently can hang down in landing and cruise, original place
Directly take off and hover, and flight attitude keeps stable, is advantageous to obtain the photovoltaic module infrared image of high quality.Transmission range
5km, the needs of large-scale power station information transfer can be met.
Preferably, thermal infrared analyzer uses FLUKE TiR32 thermal infrared imaging instrument in step b.
Preferably, image analysis system uses binocular vision system in step c, based on OpenCV environmental structures.
Preferably, binocular vision system uses two Bumblebee2 cameras in image analysis system in step c.
Further, fault diagnosis platform is built based on PHM technologies in step d, and its fault diagnosis link uses horse field system
System, diagnostic result is represented with health degree HD numerical value, as shown in figure 3, specific diagnostic method is as follows：
According to hot spot neighborhood search scope inner assembly coordinate information, determine that neighborhood inner assembly is numbered.When being occurred according to hot spot
Between and component numerals, related measured data w in called data storehouse1.Start emulation module, according to w1Middle environment parameter acquiring neighborhood
Health data w2。
Mahalanobis distance values of the MD between measured data and health data, it is assumed that power station data dimension is n, then measured data
Vector is yi=(yi1,yi2,…,yin), calculate itself and w2Between mahalanobis distance be：
Wherein,For the overall w of health2Data vector.
Select suitable two-level orthogonal array, and by n w1Characteristic component be arranged into each row of orthogonal arrage.For orthogonal
Every a line of table, according to the level of each characteristic component, uses w2In sample vector construct a reference spaceWherein i is represented
The line number of orthogonal arrage.For the reference space of every a lineCalculate w1Middle data vector is to w2Mahalanobis distance value MDi1,
MDi2,…,MDiN.Thus signal to noise ratio is calculated：
Signal to noise ratio ηqThe horizontal characteristic component for " 1 " is illustrated in orthogonal arrage q rows to w1The identification of middle measured data vector
Effect, ηqBigger explanation recognition effect is better.By more each characteristic component in two horizontal signal to noise ratio average tj=Tj/ m (j=2,
1；TjFor signal to noise ratio sum of certain measured data component under horizontal j；M is same level number of repetition) carry out validity feature choosing
Select, so as to judge whether failure.Work as t1-t2During ＞ 0, this feature component has larger contribution degree, is validity feature, should
To retain；Conversely, this feature should give rejecting.
Finally, mahalanobis distance is normalized to obtain equipment health degree (HD), normalized function form is as follows：
Wherein, c0Determined based on health data and corresponding HD threshold values, its formula is as follows：
Wherein, Mean (MDnormal) it is health data MD averages, HDpreFor corresponding HD setting values under normal condition.Pass through
This normalized function, MD can be converted to HD, so as to realize health evaluating.
HD is taken in the present inventionpre=0.95, c can be obtained0=0.03, i.e.,
In step d, exchange side inverter performance evaluation is as follows：The photovoltaic DC-to-AC converter constant to rated power, its inversion effect
It is approximate between rate and input power to meet formula
Wherein, ξinvFor inverter efficiency, PDCFor inverter DC input power, X, Y and Z are undetermined coefficient, and its calculating is asked
, it is specific as follows：
The efficiency of inverter is inverter output AC power PACWith input direct-current power PDCThe ratio between, i.e. ξinv=PAC/PDC。
Because the efficiency of combining inverter changes with real output, when power output is less than its rated output power, inversion
Device efficiency will be reduced, therefore the present invention is tried to achieve inverse using the method being fitted based on inverter output input power data
Become actual efficiency of the device under each power output.Define real-time inverter output power PACWith its rated power PAc, rateRatio
Value p=PAC/PAc, rate.By and be fitted the function relation curve of the two and can obtain：
ξinv=0.027p-0.0071/p+0.962 ηinv (7)
Definition is when 0.85<HD<When 1, it is believed that system is in unfaulty conditions；When the efficiency of inverter is less than 65%,
For fault of converter.When 0.65<HD<When 0.85, it is believed that system is in slight correct malfunction, in time maintenance should be taken to arrange
Apply；Work as HD<When 0.65, it is believed that system is in serious correct malfunction, should take maintenance measure immediately.
The general principle and principal character and advantages of the present invention of the present invention has been shown and described above.Industry description
Merely illustrate the principles of the invention, without departing from the spirit and scope of the present invention, the present invention also have various change and
Improve, these changes and improvements all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended power
Sharp claim and its equivalent thereof.
Claims (7)
1. a kind of photovoltaic plant region orients method for diagnosing faults, it is characterised in that comprises the following steps：
A. the power station performance data collection platform for being integrated with data collecting system, assembly position system and Database Systems is built；
The detection data of electric station DC side and AC are gathered by the data collecting system；By the assembly position system to light
Each block assembly of overhead utility is positioned and numbered, meanwhile, the data to collect add coordinate information；The data base set
The measured data for including coordinate information for storing unite so that fault diagnosis uses；
B. by one be integrated with autonomous unmanned plane, thermal infrared analytical equipment on-site detecting device, to component carry out infrared scan；
The on-site detecting device using autonomous unmanned plane as carrier, autonomous unmanned plane can independently landing, cruise, regulation flight appearance
State, original place take off vertically and hovered, and can receive artificial operational order；In addition, the autonomous unmanned plane can also be set in real time
Put camera parameter；Automaton is integrated with, control thermal infrared analyzer works and transmits photovoltaic module infrared image to shadow
As analysis system；
C. face image analysis system is configured, receives photovoltaic module infrared image, and analyze the infrared shadow of photovoltaic module received
As whether there is hot spot, analysis result is sent to fault diagnosis platform and synchronously stored to database；
D. fault diagnosis platform is established, the fault diagnosis platform is built based on PHM technologies, using horse field algorithm, uses health degree
HD numerical value represents diagnostic result, and health degree HD calculation formula is
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<mi>H</mi>
<mi>D</mi>
<mo>=</mo>
<mn>1</mn>
<mo>-</mo>
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<mn>1</mn>
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<mn>1</mn>
<mo>+</mo>
<msup>
<mi>e</mi>
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<mn>0.03</mn>
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Wherein, mahalanobis distance values of the MD between measured data and health data；
The diagnostic platform takes different diagnostic methods according to the analysis result of the image analysis system, specific as follows：
When 0.85<HD<When 1, i.e., when component is without hot spot, it is believed that system is in unfaulty conditions, and diagnostic platform timing comparing is straight
Stream side with exchange side data to judge to conflux, inversion link running status；Work as HD<When 0.85, that is, there is hot spot information, diagnosis is flat
Platform alert, operating personnel take corresponding measure according to diagnostic result：(1) when 0.65<HD<When 0.85, i.e., hot spot is asked
When topic is lighter, it is believed that system is in minor failure state, should take maintenance measure in time, and operating personnel are set by auxiliary control system
On-site detecting device inspection in neighborhood for a period of time, is further observed；(2) HD is worked as<When 0.65, i.e., hot spot is asked
When inscribing serious, it is believed that system is in severe fault condition, should take maintenance measure, operating personnel's starting region diagnosis mould immediately
Formula, hot spot module position is determined according to the assembly position system, centered on hot spot component, carry out region hot spot search, and
Hot spot neighborhood is determined, group string parameter in neighborhood is transferred and carries out fault diagnosis and output result, operating personnel adopt according to diagnostic result
Take corresponding measure；No matter which kind of method is selected, and operating personnel must carry out failure reset operation；
E. after receiving failure reset signal, the on-site detecting device rechecks hot spot neighborhood on time.
A kind of 2. photovoltaic plant region orientation method for diagnosing faults according to claim 1, it is characterised in that：The step
Data collecting system is used to gathering, transmit and showing the DC side of electric power station system and the detection data of AC in a, is sent into micro-control
After device piece processed is pre-processed, remote computer is sent into by communication interface, and data stock is sent into after coordinate information is added
Storage and display；The process chip of the data collecting system uses microcontroller, and coordinates AD sampling A/D chips；The data acquisition
The communication interface of system uses RS-485 communication interfaces.
A kind of 3. photovoltaic plant region orientation method for diagnosing faults according to claim 2, it is characterised in that：The direct current
The detection data of side include group string voltage, group string electric current, component backboard temperature, horizontal irradiation, coplanar irradiation, environment temperature, ring
Border humidity, wind speed, wind direction and atmospheric pressure, the detection data of the AC are inverter direct-flow side electric current, inverter ac side
Electric current and inverter efficiency.
A kind of 4. photovoltaic plant region orientation method for diagnosing faults according to claim 3, it is characterised in that：Photovoltaic array
Voltage, electric current DC voltage isolating transmitter and DC current transmitter, the collection of photovoltaic component back plate temperature is respectively adopted
From thermistor, the collection of irradiance data selects direct projection irradiation instrument and scatters the mode that irradiation instrument is combined, wind speed, wind direction
The mode that is used cooperatively from wind speed, wind transducer and wind speed transducer, wind direction transmitter of measurement, each sensor output
Signal after modulate circuit is handled, be sent into the analog-digital converter (ADC) of microcontroller, microcontroller timing adopted
Sample, processing, transmission.
A kind of 5. photovoltaic plant region orientation method for diagnosing faults according to claim 3, it is characterised in that：The exchange
Side inverter data are gathered by intelligent power transmitter, and communication interface is RS-485 serial communications, and communications protocol is mark
Quasi- MODBUS agreements.
A kind of 6. photovoltaic plant region orientation method for diagnosing faults according to claim 1, it is characterised in that：The step
Assembly position system in a uses GPS positioning system, and GPS location tracks of device is installed on each component of power station array, by
GPS positioning system positions to component, obtains the coordinate information of its geographic location, and by component numerals, according to component numerals
Store its corresponding coordinate information；The Database Systems are the SQL database system based on cloud platform.
A kind of 7. photovoltaic plant region orientation method for diagnosing faults according to claim 1, it is characterised in that：The step
Image analysis system in c is binocular vision system.
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| CN106656035B (en) * | 2016-12-13 | 2019-03-01 | 烟台中飞海装科技有限公司 | A kind of photovoltaic plant fault detection method |
| CN109410312B (en) * | 2017-08-18 | 2023-04-18 | 丰郅(上海)新能源科技有限公司 | Method for building three-dimensional model of photovoltaic module array based on photovoltaic power station |
| CN112953383A (en) * | 2017-08-30 | 2021-06-11 | 深圳市大疆创新科技有限公司 | Method and equipment for detecting photovoltaic panel and unmanned aerial vehicle |
| CN107453710A (en) * | 2017-09-06 | 2017-12-08 | 合肥凌山新能源科技有限公司 | A kind of monitoring system for off-network photovoltaic generating system |
| CN107703964A (en) * | 2017-10-09 | 2018-02-16 | 常州工学院 | A kind of photovoltaic array cruising inspection system of unmanned plane |
| CN107727145A (en) * | 2017-10-10 | 2018-02-23 | 国网江苏省电力公司电力科学研究院 | A kind of distributed power source state monitoring apparatus and method based on Internet of Things |
| CN109241923B (en) * | 2018-09-18 | 2020-11-03 | 甘肃启远智能科技有限责任公司 | Method and device for positioning hot spot of photovoltaic module |
| CN110322108A (en) * | 2019-05-08 | 2019-10-11 | 上海道口材料科技有限公司 | The photovoltaic system real time health degree evaluation method and system of Oriented Green assets assessment |
| CN110203340A (en) * | 2019-06-13 | 2019-09-06 | 北京中科利丰科技有限公司 | A kind of patrol unmanned ship of photovoltaic plant |
| CN112455676A (en) * | 2019-09-09 | 2021-03-09 | 中国电力科学研究院有限公司 | Intelligent monitoring and analyzing system and method for health state of photovoltaic panel |
| CN116896320B (en) * | 2023-03-30 | 2024-04-05 | 淮南市国家电投新能源有限公司 | Water-land-air intelligent operation and maintenance method applied to water surface photovoltaic power station |
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