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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- H—ELECTRICITY
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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 invention relates to the field of solar energy, in particular to a method for diagnosing regional directional faults of a photovoltaic power station.
Background
The operating environment of the photovoltaic power station is complex and changeable, so that instability of a power station system occurs in the operating process, for example, the assembly battery piece is hidden and cracked, the junction box is poor in aging contact, bird droppings, dust deposition and other fixed shelters occur, the power station is mismatched, and safety accidents can be caused in serious conditions. Meanwhile, the photovoltaic cable is aged, and non-array faults such as the inverter cannot be started automatically after being stopped are also important factors influencing the stability and the safety of the photovoltaic power station. Therefore, it is important to monitor photovoltaic power plants.
Because the array is a link with more faults, when the battery piece is hidden and cracked, the contact of the components is poor or the array is mismatched, the related components are changed from a power supply into a load, and the energy consumption and the heat generation are realized. Therefore, at present, it is common practice to inspect a photovoltaic array by using a handheld infrared thermal imager. This approach has the following drawbacks: (1) photovoltaic power plants are not necessarily suitable for plant operators to operate in the field due to geographical environmental restrictions. (2) The large photovoltaic power station has the advantages of being large in number of components, large in occupied area, small in personnel configuration, long in period, low in efficiency, lagging in detection result and the like due to manual monitoring. (3) The monitoring of the photovoltaic array is generally carried out under the working condition, and the high-voltage environment at the direct current side has great potential safety hazard to detection personnel. (4) The power station system cannot be evaluated from the overall perspective
In order to solve the problems, a performance monitoring platform is built for part of power stations, and a relevant algorithm is adopted to verify whether the system is in a fault state. This approach also suffers from several disadvantages: (1) the monitoring data volume of a large power station is huge, so that the calculation amount is large, the calculation speed is low, and the algorithm stability is poor. (2) And the power station can be judged to have faults only when the calculated result triggers a fault threshold, and the fault often means that the power station has serious fault, so that the algorithm sensitivity is poor.
Therefore, it is necessary to design a performance monitoring system for a photovoltaic power station, so as to improve the stability and safety of the performance monitoring system, and ensure the safe and efficient operation of the photovoltaic power station.
Disclosure of Invention
Aiming at the defects, the invention provides a method for diagnosing the regional directional fault of the photovoltaic power station, which aims to overcome the defects of high difficulty in field detection of the photovoltaic power station, lag in detection result, insensitivity of a performance monitoring platform, poor stability and the like.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for diagnosing regional directional faults of a photovoltaic power station is characterized by comprising the following steps:
a. a power station performance data acquisition platform integrating a data acquisition system, a component positioning system and a database system is built; acquiring necessary detection data of a direct current side and an alternating current side of the power station through the data acquisition system; positioning and numbering each module of the photovoltaic power station through the module positioning system, and adding coordinate information to the acquired data; the database system is used for storing measured data comprising coordinate information for fault diagnosis;
b. performing infrared scanning on the component through a field detection device integrated with an autonomous unmanned aerial vehicle and thermal infrared analysis equipment; the field detection device takes an autonomous unmanned aerial vehicle as a carrier, the autonomous unmanned aerial vehicle can take off and land, cruise, adjust flight attitude, take off and hover vertically in situ, and can receive manual operation instructions; in addition, the autonomous unmanned aerial vehicle can also set camera parameters in real time; the thermal infrared analysis equipment is a professional thermal infrared analyzer, is integrated with an automatic control device, controls the thermal infrared analyzer to work, and transmits the infrared image of the photovoltaic module to an image analysis system;
c. the method comprises the steps that a ground image analysis system is arranged, photovoltaic module infrared images are received, whether hot spots exist in the received photovoltaic module infrared images or not is analyzed, and analysis results are sent to a fault diagnosis platform and are synchronously stored in a database;
d. establishing a fault diagnosis platform, wherein the fault diagnosis platform is established based on a PHM technology, a Matt algorithm is adopted, and the diagnosis result is represented by a numerical value of the health degree HD, and the specific diagnosis method comprises the following steps:
and determining the number of the components in the neighborhood according to the coordinate information of the components in the hot spot neighborhood searching range. According to the hot spot occurrence time and the component number, related measured data w in the database is called1. Starting the simulation module according to w1Acquisition of neighborhood health data w by medium environment parameters2。
MD is the Mahalanobis distance value between the measured data and the health data, and the measured data vector is y assuming that the data dimension of the power station is ni＝(yi1,yi2,…,yin) Calculate the sum of w2Mahalanobis distance between:
wherein,is a healthy population w2The data vector of (2).
Selecting a suitable two-level orthogonal table, and dividing n w1Are arranged into columns of an orthogonal table. For each row of the orthogonal table, according to the level of the characteristic component, by w2The sample vector in (A) constructs a reference spaceWhere i represents the row number of the orthogonal table. Reference space for each rowCalculating w1Vector of middle data to w2Mahalanobis distance value MD ofi1,MDi2,…,MDiN. From this, the signal-to-noise ratio is calculated:
signal to noise ratio ηqThe feature component pair w with level "1" in the q-th row of the orthogonal table is shown1Identification of the measured data vector in (iii), ηqThe larger the size, the better the recognition effect. By comparing the mean value t of the signal-to-noise ratio of each characteristic component at two levelsj＝Tj/m(j＝2，1；TjIs the sum of the signal-to-noise ratios of a certain measured data component at the level j; m is the same horizontal repetition number) to perform effective feature selection, thereby judging whether a fault exists. When t is1-t2When the value is more than 0, the characteristic component has larger contribution degree and is a valid characteristic and is required to be reserved; otherwise, the feature should be eliminated.
Finally, mahalanobis distance is normalized to obtain device Health (HD), the normalization function being of the form:
wherein, c0Based on the health data and the corresponding HD threshold, the formula is as follows:
wherein Mean (MD)normal) As the MD mean of health data, HDpreIn the invention, HD is taken as the corresponding HD set value in the normal statepre0.95 to obtain c00.03, i.e.
The diagnosis platform adopts different diagnosis methods according to the analysis result of the image analysis system, and the method specifically comprises the following steps:
when HD <1 is 0.85, namely when the component has no hot spot, the system is considered to be in a fault-free state, and the diagnosis platform compares the data of the direct current side and the alternating current side at regular time to judge the operation state of the convergence and inversion link; when HD is less than 0.85, hot spot information appears, the diagnosis platform sends out alarm information, and an operator takes corresponding measures according to the diagnosis result: (1) when HD is more than 0.65 and less than 0.85, namely the hot spot problem is light, the system is considered to be in a slight correct fault state, maintenance measures are taken in time, and an operator sets the field detection device to perform inspection in the neighborhood for a period of time through the auxiliary control system to perform further observation; (2) when HD <0.65, namely when the hot spot problem is serious, the system is considered to be in a serious correct fault state, the maintenance measure is immediately taken, an operator starts a regional diagnosis mode, determines the position of a hot spot component according to the component positioning system, searches for the regional hot spot by taking the hot spot component as the center, determines a hot spot neighborhood, calls cluster parameters in the neighborhood to perform fault diagnosis and outputs a result, and the operator takes corresponding measures according to the diagnosis result; whichever method is selected, the operator must perform a fail-over operation.
e. After receiving the fault reset signal, the on-site detection device rechecks the hot spot neighborhood on time to ensure that the fault problem is properly solved.
The data acquisition system in the step a is used for acquiring, transmitting and displaying necessary detection data of a direct current side and an alternating current side of the power station system, sending the detection data into the microcontroller chip for preprocessing, sending the detection data into the remote computer through the communication interface, and sending the detection data into the database for storage and display after adding coordinate information; a processing chip of the data acquisition system adopts a microcontroller and is matched with an AD sampling chip; and the communication interface of the data acquisition system adopts an RS-485 communication interface.
The necessary detection data of the direct current side comprise string voltage, string current, assembly backboard temperature, horizontal irradiation, coplanar irradiation, ambient temperature, ambient humidity, wind speed, wind direction and atmospheric pressure, and the necessary detection data of the alternating current side comprise inverter direct current side current, inverter alternating current side current and inverter efficiency.
Furthermore, the voltage and the current of the photovoltaic array are respectively a direct current voltage isolation transmitter and a direct current transmitter, the acquisition of the temperature of a back plate of the photovoltaic module selects a thermistor, the acquisition of irradiance data selects a mode of combining a direct irradiation instrument and a scattering irradiation instrument, the measurement of the wind speed and the wind direction selects a mode of matching a wind speed sensor and a wind direction sensor with a wind speed transmitter and a wind direction transmitter, signals output by all the sensors are processed by a conditioning circuit and then are sent into an analog-to-digital converter (ADC) of the microcontroller, and the microcontroller performs sampling, processing and transmission at regular time.
The data of the alternating current side inverter are collected through the intelligent electric quantity transmitter, the communication interface is in an RS-485 serial communication standard, and the communication protocol is in a standard MODBUS protocol.
The component positioning system in the step a adopts a GPS positioning system, a GPS positioning and tracking device is arranged on each component of the power station array, the GPS positioning system positions the components, the coordinate information of the geographical position where the components are located is obtained, the components are numbered, and the corresponding coordinate information is stored according to the component numbers; the database system is an SQL database system based on a cloud platform.
The image analysis system in the step c is a binocular vision system.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a regional directional fault diagnosis method for a photovoltaic power station, which overcomes the defects of the existing method in the aspects of power station fault operation and maintenance. By means of the GPS and hot spot searching method and the combination of the unmanned aerial vehicle-based field detection device, the rapid and instant analysis of the power station area is achieved, the reaction precision and speed of faults are improved, the power station operation cost is reduced, safe and efficient operation of a photovoltaic power station is facilitated, and safety of power station operators is guaranteed.
Drawings
FIG. 1 is a flow chart of the zone-directed fault diagnosis of the present invention;
FIG. 2 is a block diagram of a data acquisition system;
FIG. 3 is a Matt System diagnostic flow chart.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the attached drawings and the detailed implementation modes.
As shown in fig. 1, a method for predicting efficiency attenuation of a photovoltaic power station includes the following steps:
a. and constructing a power station performance data acquisition platform integrating a data acquisition system, a component positioning system and a database system. The data acquisition system is used for acquiring necessary detection data of the direct current side and the alternating current side of the photovoltaic power station, the positioning system is used for positioning and numbering each block of assembly of the photovoltaic power station, meanwhile, coordinate information is added to the acquired data, and the database system is used for storing the actual measurement data containing the coordinate information for fault diagnosis.
b. Through an integrated autonomic unmanned aerial vehicle, thermal infrared analysis equipment's on-the-spot detection device, carry out infrared scanning to the subassembly, the device is with autonomic unmanned aerial vehicle as the carrier, unmanned aerial vehicle need have independently cruises, adjust the function of flight gesture merit and can receive manual operation instruction, and simultaneously, have the function of setting up the camera parameter in real time, thermal infrared analysis equipment is professional thermal infrared analysis appearance, the integration has automatic control device, control thermal infrared analysis appearance work and transmit image to influence analytic system.
c. And a ground image analysis system is arranged, and the analysis result is sent to the fault diagnosis platform and synchronously stored in the database by analyzing the received infrared image of the photovoltaic module and analyzing whether hot spots exist.
d. And establishing a fault diagnosis platform. And the diagnosis platform adopts different diagnosis strategies according to the image analysis result. When the assembly has no hot spot, the platform compares the parameters of the direct current side and the alternating current side regularly to judge the operation states of links such as confluence, inversion and the like. And when hot spot information appears, the diagnosis platform sends alarm information. And the operator takes corresponding measures according to the diagnosis result: (1) when the hot spot problem is serious, an operator can start a regional diagnosis mode, determine the position of a hot spot component according to a positioning system, search for the regional hot spot by taking the hot spot component as a center, determine a hot spot neighborhood, call cluster parameters in the neighborhood to diagnose the fault and output a result; (2) when the hot spot problem is light, an operator can set the field detection device to patrol for a period of time in the neighborhood through the auxiliary control system to carry out further observation. Whichever mode is selected, the operator must perform a fail-over operation.
e. After receiving the fault reset signal, the on-site detection device rechecks the hot spot neighborhood on time to ensure that the fault problem is properly solved.
The data acquisition system in the step a is used for acquiring, transmitting and displaying necessary detection data of the direct current side and the alternating current side of the power station system, then sending the detection data into the microcontroller for preprocessing, sending the preprocessed detection data into the remote computer through the communication interface, and sending the preprocessed detection data into the database for storage and display after coordinate information is added, as shown in fig. 2.
In the step a, the TMS320F28012 is adopted as a micro-processing chip of the data acquisition system, and a 16-bit single-channel AD sampling chip is matched.
And (b) adopting ATMEL AD7663 as the AD sampling chip of the data acquisition system in the step a.
And (b) adopting an RS-485 communication interface as a communication interface of the data acquisition system in the step a.
In the step a, the necessary detection data of the direct current side comprises string voltage, string current, assembly backboard temperature, horizontal irradiation, coplanar irradiation, environment temperature, environment humidity, wind speed, wind direction, atmospheric pressure and the like, and the necessary detection data of the alternating current side comprises inverter direct current side current, inverter alternating current side current and inverter efficiency.
Preferably, in step a, the voltage and the current of the photovoltaic array are respectively a direct current voltage isolation transmitter and a direct current transmitter. PT100 platinum thermal resistance is selected for collecting the temperature of the photovoltaic module back plate. The method for collecting the irradiance data selects a mode of combining a TBQ-2 type total radiometer and a DL-2 type standard current transducer of the West sunshine meteorology technology company. The measurement of wind speed and wind direction adopts a mode that an EC-8SX type integrated wind speed and wind direction sensor of the Jinzhou sunshine meteorology technology company is matched with a wind speed transmitter and a wind direction transmitter for use. Signals output by the sensors are processed by a conditioning circuit and then sent to an analog-to-digital converter (ADC) of the master controller TMS320F 2812. And the master controller TMS320F2812 performs sampling, processing and transmission at regular time.
Preferably, in the step a, the data of the power station alternating current side inverter is collected through an intelligent electric quantity transmitter, the communication interface is in an RS-485 serial communication standard, and the communication protocol is in a standard MODBUS protocol.
Preferably, the positioning system in step a adopts a GPS positioning system, a GPS positioning and tracking device is installed on each component of the power station array, the GPS positioning system positions the component, obtains coordinate information of the geographical position where the component is located, and numbers the component. And storing the corresponding coordinate information according to the component number.
Preferably, the database system in the step a adopts a SQL database system based on a cloud platform, the cloud platform has large storage space and high storage quality, and has the capability of real-time interaction with a computer, thereby saving local space and reducing the pressure of local equipment.
Preferably, the autonomous unmanned aerial vehicle in the step b adopts DJI Inspire 1RAW, can take off and land and cruise autonomously, takes off and hovers vertically in situ, keeps stable flight attitude, and is beneficial to acquiring high-quality photovoltaic module infrared images. The transmission distance is 5km, and the requirement of large-scale power station information transmission can be met.
Preferably, the thermal infrared analyzer in step b is a FLUKE TIR32 thermal infrared imager.
Preferably, the image analysis system in the step c is constructed based on an OpenCV environment by using a binocular vision system.
Preferably, the binocular vision system in the image analysis system in step c uses two bumblebe 2 cameras.
Further, the fault diagnosis platform in step d is built based on the PHM technology, the fault diagnosis link adopts the mada system, and the diagnosis result is represented by the numerical value of the health degree HD, as shown in fig. 3, the specific diagnosis method is as follows:
and determining the number of the components in the neighborhood according to the coordinate information of the components in the hot spot neighborhood searching range. According to the hot spot occurrence time and the component number, related measured data w in the database is called1. Starting the simulation module according to w1Acquisition of neighborhood health data w by medium environment parameters2。
MD is the Mahalanobis distance value between the measured data and the health data, and the measured data vector is y assuming that the data dimension of the power station is ni＝(yi1,yi2,…,yin) Calculate the sum of w2Mahalanobis distance between:
wherein,is a healthy population w2The data vector of (2).
Selecting a suitable two-level orthogonal table, and dividing n w1Are arranged into columns of an orthogonal table. For each row of the orthogonal table, according to the level of the characteristic component, by w2The sample vector in (A) constructs a reference spaceWhere i represents the row number of the orthogonal table. Reference space for each rowCalculating w1Vector of middle data to w2Mahalanobis distance value MD ofi1,MDi2,…,MDiN. From this, the signal-to-noise ratio is calculated:
signal to noise ratio ηqThe feature component pair w with level "1" in the q-th row of the orthogonal table is shown1Identification of the measured data vector in (iii), ηqThe larger the size, the better the recognition effect. By comparing the mean value t of the signal-to-noise ratio of each characteristic component at two levelsj＝Tj/m(j＝2，1；TjIs the sum of the signal-to-noise ratios of a certain measured data component at the level j; m is the same horizontal repetition number) to perform effective feature selection, thereby judging whether a fault exists. When t is1-t2When the value is more than 0, the characteristic component has larger contribution degree and is a valid characteristic and is required to be reserved; otherwise, the feature should be eliminated.
Finally, mahalanobis distance is normalized to obtain device Health (HD), the normalization function being of the form:
wherein, c0Based on the health data and the corresponding HD threshold, the formula is as follows:
wherein Mean (MD)normal) As the MD mean of health data, HDpreIs the corresponding HD setting value in the normal state. Through this normalization function, MD can be converted into HD, thereby enabling health assessment.
In the invention, HD is takenpre0.95 to obtain c00.03, i.e.
In step d, the performance of the ac side inverter is analyzed as follows: for the photovoltaic inverter with constant rated power, the approximate satisfied formula between the inversion efficiency and the input power
Wherein, ξinvFor inverter efficiency, PDCFor the dc input power of the inverter, X, Y and Z are the coefficients to be determined, and the calculation is as follows:
efficiency of the inverter being the AC power P output by the inverterACAnd input DC power PDCRatio of (i.e. ξ)inv＝PAC/PDC. Because the efficiency of the grid-connected inverter changes along with the actual output power, and when the output power is smaller than the rated output power, the efficiency of the inverter is reduced, so the method of fitting based on the output and input power data of the inverter is adopted to obtain the actual efficiency of the inverter under each output power. Defining real-time inverter output power PACTo its rated power Pac，rateP is equal to PAC/Pac，rate. By fitting the functional relationship curve of the two, the following can be obtained:
ξinv＝0.027p-0.0071/p+0.962ηinv(7)
defining that when 0.85< HD <1, the system can be considered to be in a no fault state; when the efficiency of the inverter is lower than 65%, the inverter is in failure. When the HD is more than 0.65 and less than 0.85, the system is considered to be in a slight correct fault state, and maintenance measures should be taken in time; when HD <0.65, the system is considered to be in a severely correct fault state and maintenance measures should be taken immediately.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. The industry has described the principles of the invention, and variations and modifications are possible without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A method for diagnosing regional directional faults of a photovoltaic power station is characterized by comprising the following steps:
a. a power station performance data acquisition platform integrating a data acquisition system, a component positioning system and a database system is built; detecting data of a direct current side and an alternating current side of the power station are acquired through the data acquisition system; positioning and numbering each module of the photovoltaic power station through the module positioning system, and adding coordinate information to the acquired data; the database system is used for storing measured data comprising coordinate information for fault diagnosis;
b. performing infrared scanning on the component through a field detection device integrated with an autonomous unmanned aerial vehicle and thermal infrared analysis equipment; the field detection device takes an autonomous unmanned aerial vehicle as a carrier, the autonomous unmanned aerial vehicle can take off and land, cruise, adjust flight attitude, take off and hover vertically in situ, and can receive manual operation instructions; in addition, the autonomous unmanned aerial vehicle can also set camera parameters in real time; an automatic control device is integrated to control the thermal infrared analyzer to work and transmit the infrared image of the photovoltaic module to an image analysis system;
c. the method comprises the steps that a ground image analysis system is arranged, photovoltaic module infrared images are received, whether hot spots exist in the received photovoltaic module infrared images or not is analyzed, and analysis results are sent to a fault diagnosis platform and are synchronously stored in a database;
d. establishing a fault diagnosis platform, wherein the fault diagnosis platform is established based on the PHM technology, the diagnosis result is expressed by the numerical value of the health degree HD by adopting a Matt algorithm, and the calculation formula of the health degree HD is
<mrow> <mi>H</mi> <mi>D</mi> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mn>0.03</mn> <mi>ln</mi> <mi>M</mi> <mi>D</mi> </mrow> </msup> </mrow> </mfrac> </mrow>
Wherein, MD is the Mahalanobis distance value between the measured data and the health data;
the diagnosis platform adopts different diagnosis methods according to the analysis result of the image analysis system, and the method specifically comprises the following steps:
when HD <1 is 0.85, namely when the component has no hot spot, the system is considered to be in a fault-free state, and the diagnosis platform compares the data of the direct current side and the alternating current side at regular time to judge the operation state of the convergence and inversion link; when HD is less than 0.85, hot spot information appears, the diagnosis platform sends out alarm information, and an operator takes corresponding measures according to the diagnosis result: (1) when HD is more than 0.65 and less than 0.85, namely the hot spot problem is light, the system is considered to be in a slight fault state, maintenance measures are taken in time, and an operator sets the field detection device to perform inspection in the neighborhood for a period of time through the auxiliary control system to perform further observation; (2) when HD <0.65, namely when the hot spot problem is serious, the system is considered to be in a serious fault state, maintenance measures are immediately taken, an operator starts a regional diagnosis mode, determines the position of a hot spot component according to the component positioning system, searches for the regional hot spot by taking the hot spot component as the center, determines a hot spot neighborhood, calls cluster parameters in the neighborhood to perform fault diagnosis and outputs a result, and the operator takes corresponding measures according to the diagnosis result; whichever method is selected, the operator must perform a fault reset operation;
e. and after receiving the fault reset signal, the field detection device rechecks the hot spot neighborhood on time.
2. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 1, wherein the method comprises the following steps: the data acquisition system in the step a is used for acquiring, transmitting and displaying detection data of a direct current side and an alternating current side of the power station system, sending the detection data into the microcontroller chip for preprocessing, sending the detection data into the remote computer through the communication interface, and sending the detection data into the database for storage and display after coordinate information is added; a processing chip of the data acquisition system adopts a microcontroller and is matched with an AD sampling chip; and the communication interface of the data acquisition system adopts an RS-485 communication interface.
3. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 2, wherein the method comprises the following steps: the detection data of the direct current side comprises string voltage, string current, assembly backboard temperature, horizontal irradiation, coplanar irradiation, environment temperature, environment humidity, wind speed, wind direction and atmospheric pressure, and the detection data of the alternating current side comprises inverter direct current side current, inverter alternating current side current and inverter efficiency.
4. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 3, wherein the method comprises the following steps: the voltage and the current of the photovoltaic array are respectively a direct-current voltage isolation transmitter and a direct-current transmitter, the temperature of a back plate of a photovoltaic module is collected by a thermistor, the irradiance data is collected by combining a direct irradiation instrument and a scattering irradiation instrument, the wind speed and the wind direction are measured by matching a wind speed sensor, a wind direction sensor, a wind speed transmitter and a wind direction transmitter, signals output by the sensors are processed by a conditioning circuit and then sent into an analog-to-digital converter (ADC) of the microcontroller, and the microcontroller performs sampling, processing and transmission at regular time.
5. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 3, wherein the method comprises the following steps: the data of the AC side inverter are collected through the intelligent electric quantity transmitter, the communication interface is in an RS-485 serial communication standard, and the communication protocol is in a standard MODBUS protocol.
6. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 1, wherein the method comprises the following steps: the component positioning system in the step a adopts a GPS positioning system, a GPS positioning and tracking device is arranged on each component of the power station array, the GPS positioning system positions the components, the coordinate information of the geographical position where the components are located is obtained, the components are numbered, and the corresponding coordinate information is stored according to the component numbers; the database system is an SQL database system based on a cloud platform.
7. The method for diagnosing the regional directional fault of the photovoltaic power station as recited in claim 1, wherein the method comprises the following steps: and c, the image analysis system in the step c is a 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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