CN111917375B - A kind of photovoltaic module detection method - Google Patents
A kind of photovoltaic module detection method Download PDFInfo
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- 238000010248 power generation Methods 0.000 claims abstract description 34
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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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- 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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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
本发明涉及一种光伏组件检测方法，通过采集光伏组件阵列内各光伏组件的工作特征参数集，计算各光伏组件的位置和温度分别对于自身工作时的电压和电流的影响因子，得到适用于光伏组件阵列内所有光伏组件工作时的自适应补偿因子，通过拟合各光伏组件的电压特性曲线和电流特性曲线后，引入自适应补偿因子，得到表征光伏组件在实际工作时的电压特性预测曲线、电流特性预测曲线及发电功率预测曲线，根据针对各光伏组件发出发电功率检测指令的时刻，以发电功率检测指令发出时刻对应的发电功率预测值作为对应光伏组件发电功率检测指令的检测结果值，考虑了位置、温度等外在因素对于光伏组件发电功率的影响，提前预测到了各光伏组件的实际发电功率情况。
The invention relates to a photovoltaic component detection method. By collecting the working characteristic parameter sets of each photovoltaic component in the photovoltaic component array, calculating the influence factors of the position and temperature of each photovoltaic component on the voltage and current when it is working, and obtaining a photovoltaic component suitable for photovoltaic The self-adaptive compensation factor of all photovoltaic modules in the module array when working. After fitting the voltage characteristic curve and current characteristic curve of each photovoltaic module, the self-adaptive compensation factor is introduced to obtain the voltage characteristic prediction curve that characterizes the actual work of the photovoltaic module, The current characteristic prediction curve and the generated power prediction curve are based on the time when the generated power detection command is issued for each photovoltaic module, and the generated power predicted value corresponding to the generation time when the generated power detection command is issued is used as the detection result value of the corresponding photovoltaic module generation power detection command, considering The influence of external factors such as location and temperature on the power generation of photovoltaic modules is predicted, and the actual power generation of each photovoltaic module is predicted in advance.
Description
Technical Field
The invention relates to the field of photovoltaics, in particular to a photovoltaic module detection method.
Background
With the increasing demand for energy in global economic activities, solar energy has become an inexhaustible renewable energy source for human beings, and has sufficient cleanliness, absolute safety, and relative universality and maintenance-free property. Therefore, photovoltaic module technology for generating electricity using solar energy is rapidly developed.
In actual operation, it is difficult for the individual photovoltaic modules to provide the electrical energy required for the normal operation of the electrical consumers. Therefore, a plurality of photovoltaic modules are assembled into an array form, and the formed photovoltaic module array is used for generating electricity, so that the electricity generation requirement of people in most cases can be met.
Since the photovoltaic modules are in actual operation, the generated power of the photovoltaic modules is not only related to the factors of the photovoltaic modules, but also affected by external factors, such as temperature factors, light incidence angle factors, and the like, which will result in that the actual generated power of each photovoltaic module is not exactly the same, and may also change with time. Therefore, how to accurately detect the generated power condition of each photovoltaic module in the photovoltaic module array becomes a problem facing and needing to be solved in the photovoltaic field at present.
Disclosure of Invention
The invention aims to provide a photovoltaic module detection method aiming at the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a photovoltaic module detection method is characterized by comprising the following steps:
step 1, arranging a plurality of photovoltaic modules into a photovoltaic module array according to a preset array distribution form; the total number of the photovoltaic modules in the photovoltaic Module array is marked as N, and the nth photovoltaic Module in the photovoltaic Module array is marked as Modulen，1≤n≤N；
Step 2, constructing a plane rectangular coordinate system in a plane where the photovoltaic component array is located by taking the position coordinate of the lower left corner of the photovoltaic component array as an origin; the position of the lower left corner of the photovoltaic module array is marked as O, the coordinate corresponding to the position O of the lower left corner is marked as O (0,0), and the constructed rectangular plane coordinate system is marked as xOy;
step 3, acquiring position coordinates of each photovoltaic assembly in the photovoltaic assembly array in the plane rectangular coordinate system; wherein, the photovoltaic Module in the photovoltaic Module arraynPosition coordinate labels in a planar rectangular coordinate system xOy
Step 4, collecting working characteristic parameter sets of all photovoltaic modules in the photovoltaic module array according to a preset sampling time interval in a preset sampling time period to form a photovoltaic module array working characteristic parameter set comprising all the photovoltaic module working characteristic parameter sets;
the working characteristic parameter set of the photovoltaic module comprises voltage, current and temperature of the photovoltaic module; the preset sampling period is marked as TpresetThe predetermined sampling interval is marked as Δ TpresetAt a predetermined sampling period TpresetAccording to a preset sampling time interval delta TpresetCollected photovoltaic ModulenRespectively, the w-th voltage value, the w-th current value and the w-th temperature value are correspondingly marked
And
w is more than or equal to 1 and less than or equal to W, and W is in the preset sampling time period TpresetInterior to photovoltaic ModulenThe total number of collected same working characteristic parameters;
step 5, calculating the temperature mean value of each photovoltaic module in the photovoltaic module array working characteristic parameter set, and taking the temperature mean value as the temperature representation value of the photovoltaic module in the preset sampling time period; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetInner temperature characterization value is marked as
Step 6, obtaining a position-temperature influence factor of the position on the temperature of each photovoltaic module according to the position coordinates of each photovoltaic module in the photovoltaic module array and the temperature representation value of each photovoltaic module; wherein, the position is to the photovoltaic ModulenThe position-temperature influence factor of the temperature is marked as ModulenMarking as
Step 7, obtaining influence factors of the position and temperature dual factors on the voltage and the current of each photovoltaic module respectively according to the position-temperature influence factors of each photovoltaic module and the voltage mean value and the current mean value of each photovoltaic module in a preset sampling time period; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetThe voltage mean value and the current mean value in are respectively marked as
And
position and temperature dual factor pair photovoltaic ModulenThe influence factor of the voltage is marked
Position and temperature dual factor pair photovoltaic ModulenThe influence factor of the current is marked
Step 8, obtaining self-adaptive compensation factors suitable for all photovoltaic modules in the photovoltaic module array when working according to the obtained position-temperature influence factors corresponding to the photovoltaic modules and the influence factors of the position-temperature double factors on the voltage and the current of the photovoltaic modules respectively; wherein, the adaptive compensation factor applicable to all photovoltaic modules in the photovoltaic module array during operation is marked as tau:
step 9, according to the working characteristic parameter set of each photovoltaic module in the working characteristic parameter set of the photovoltaic module array, fitting to obtain a voltage characteristic curve and a current characteristic curve of each photovoltaic module changing along with time in the preset sampling time period; wherein the fitted photovoltaic ModulenIs marked by
Photovoltaic Module obtained through fittingnIs marked by
0≤t'≤Tpreset；
Step 10, obtaining a voltage characteristic prediction curve and a current characteristic prediction curve representing the actual working of the photovoltaic modules according to the obtained adaptive compensation factors and the voltage characteristic curves and the current characteristic curves of the photovoltaic modules;
wherein, the photovoltaic ModulenThe voltage characteristic prediction curve in actual operation is marked
Photovoltaic ModulenThe current characteristic prediction curve in actual operation is marked
Step 11, obtaining a generating power prediction curve of each photovoltaic module in actual working by using the obtained photovoltaic module voltage characteristic prediction curve and current characteristic prediction curve; wherein the photovoltaic groupModulenThe prediction curve of the generated power in actual operation is marked
Step 12, acquiring the time of sending a generated power detection instruction for each photovoltaic module, and taking a generated power predicted value corresponding to the time of sending the generated power detection instruction as a detection result value corresponding to the generated power detection instruction of the photovoltaic module; wherein, to photovoltaic ModulenTime mark for sending generating power detection instruction
Time when power generation power detection instruction is issued
The corresponding generated power predicted value is marked as
In an improvement, the photovoltaic module detection method further comprises the following steps: according to the detection result aiming at the power generation power of each photovoltaic module and a preset normal value of the power generation power, whether the power generation work of each photovoltaic module is qualified or not is judged and screened:
when the detection result value of the generated power of the photovoltaic module is greater than or equal to a preset normal value of the generated power, marking the photovoltaic module as a photovoltaic module qualified in power generation work; otherwise, marking the photovoltaic module as a photovoltaic module which is unqualified in power generation operation.
Further, the photovoltaic module detection method also comprises the step of sending abnormal photovoltaic module information which is unqualified in power generation work to the operation and maintenance background; the abnormal photovoltaic module information comprises the power generation power value of the photovoltaic module which is unqualified in power generation work and the position coordinate of the photovoltaic module.
In another improvement, the photovoltaic module detection method further includes the step of counting defective products of photovoltaic modules at positions of the photovoltaic modules within a preset counting time period to obtain the replacement frequency of the photovoltaic modules at the positions of the photovoltaic module array.
Further, the photovoltaic module detection method further comprises the step of sending the position coordinate with the maximum replacement frequency to an operation and maintenance background and requesting the operation and maintenance background to carry out fault maintenance.
Compared with the prior art, the invention has the advantages that:
firstly, the photovoltaic module detection method obtains the working characteristic parameter set of the photovoltaic module array of the whole photovoltaic module array by obtaining the coordinate condition of the photovoltaic module in the photovoltaic module array and collecting the working characteristic parameter set of each photovoltaic module in the preset time period, then obtains the self-adaptive compensation factor suitable for all the photovoltaic modules in the photovoltaic module array when working by calculating the influence factors of the position and the temperature of each photovoltaic module on the voltage and the current of the photovoltaic module during working, obtains the voltage characteristic curve and the current characteristic curve of each photovoltaic module by fitting, then introduces the obtained self-adaptive compensation factor to obtain the voltage characteristic prediction curve and the current characteristic prediction curve representing the actual working of the photovoltaic module, and then obtains the generating power prediction curve representing the actual working of the photovoltaic module, according to the time when the generating power detection instruction is sent out aiming at each photovoltaic module and the generating power predicted value corresponding to the time when the generating power detection instruction is sent out is taken as the detection result value of the generating power detection instruction corresponding to the photovoltaic module, the influence of external factors such as position and temperature on the generating power of the photovoltaic modules is considered, and the actual generating power condition of each photovoltaic module can be predicted in advance;
secondly, through screening the photovoltaic modules with unqualified power generation power, prompting of replacing the photovoltaic modules and statistics of photovoltaic module replacement frequency on each position coordinate in the photovoltaic module array are carried out according to needs, so that the operation and maintenance background of the photovoltaic modules can conveniently and timely learn the unqualified photovoltaic modules and carry out fault maintenance on the positions where the photovoltaic modules are frequently replaced, and the normal power generation requirement of the whole photovoltaic module array is ensured.
Drawings
Fig. 1 is a schematic flow chart of a photovoltaic module detection method in an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
Referring to fig. 1, the present embodiment provides a method for detecting a photovoltaic module, including the following steps:
step 1, arranging a plurality of photovoltaic modules into a photovoltaic module array according to a preset array distribution form; in this embodiment, the total number of photovoltaic modules in the photovoltaic Module array is denoted as N, and the nth photovoltaic Module in the photovoltaic Module array is denoted as Modulen，1≤n≤N；
Step 2, constructing a plane rectangular coordinate system in a plane where the photovoltaic component array is located by taking the position coordinate of the lower left corner of the photovoltaic component array as an origin; setting a position mark of a lower left corner of the photovoltaic module array as O, a coordinate mark corresponding to the position O of the lower left corner as O (0,0), and marking the constructed rectangular plane coordinate system as xOy;
step 3, acquiring position coordinates of each photovoltaic assembly in the photovoltaic assembly array in a plane rectangular coordinate system xOy; wherein, the photovoltaic Module in the photovoltaic Module arraynPosition coordinate labels in a planar rectangular coordinate system xOy
Step 4, in a preset sampling time period TpresetAccording to a preset sampling time interval delta TpresetCollecting working characteristic parameter sets of all photovoltaic modules in the photovoltaic module array to form a photovoltaic module array working characteristic parameter set comprising all the photovoltaic module working characteristic parameter sets;
the working characteristic parameter set of the photovoltaic module comprises voltage, current and temperature of the photovoltaic module; at a preset sampling time period TpresetAccording to a preset sampling time interval delta TpresetCollected photovoltaic ModulenRespectively, the w-th voltage value, the w-th current value and the w-th temperature value are correspondingly marked
And
w is more than or equal to 1 and less than or equal to W, and W is in the preset sampling time period TpresetInterior to photovoltaic ModulenThe total number of collected same working characteristic parameters;
step 5, calculating the temperature mean value of each photovoltaic module in the photovoltaic module array working characteristic parameter set, and taking the temperature mean value as the temperature mean value of the photovoltaic module in a preset sampling time period TpresetA temperature characterizing value; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetInner temperature characterization value is marked as
Step 6, according to the position coordinates of each photovoltaic module in the photovoltaic module array
And the temperature characteristic value of each photovoltaic module
Obtaining a position-temperature influence factor of the position on the temperature of each photovoltaic module; wherein, the position is to the photovoltaic ModulenThe position-temperature influence factor of the temperature is marked as ModulenMarking as
Step 7, according to the position-temperature influence factors of each photovoltaic module
And each photovoltaic module is in a preset sampling time period TpresetObtaining influence factors of the position and temperature double factors on the voltage and the current of each photovoltaic module respectively by the voltage mean value and the current mean value; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetThe voltage mean value and the current mean value in are respectively marked as
And
position and temperature dual factor pair photovoltaic ModulenThe influence factor of the voltage is marked
Position and temperature dual factor pair photovoltaic ModulenThe influence factor of the current is marked
Step 8, according to the obtained position-temperature influence factors corresponding to each photovoltaic module
And positionInfluence factors of temperature dual factors on voltage of each photovoltaic module respectively
And the influence factor of the current
Obtaining adaptive compensation factors suitable for all photovoltaic modules in the photovoltaic module array in the embodiment when working; the adaptive compensation factor applicable to the operation of all photovoltaic modules in the photovoltaic module array in this embodiment is denoted as τ:
step 9, fitting according to the working characteristic parameter set of each photovoltaic Module in the working characteristic parameter set of the photovoltaic Module array to obtain each photovoltaic ModulenAt a preset sampling time period TpresetA voltage characteristic curve and a current characteristic curve which change with time; wherein the fitted photovoltaic ModulenIs marked by
Photovoltaic Module obtained through fittingnIs marked by
0≤t'≤Tpreset；
Step 10, obtaining the adaptive compensation factor tau and the voltage characteristic curve of each photovoltaic module
Sum current characteristic curve
Obtaining a voltage characteristic prediction curve and a current characteristic prediction curve representing the actual working of the photovoltaic module;
wherein, the photovoltaic ModulenThe voltage characteristic prediction curve in actual operation is marked
Photovoltaic ModulenThe current characteristic prediction curve in actual operation is marked
Step 11, predicting a curve by using the voltage characteristic of the photovoltaic module
Sum current characteristic prediction curve
Obtaining a generating power prediction curve of each photovoltaic module in actual working; wherein, the photovoltaic ModulenThe prediction curve of the generated power in actual operation is marked
Step 12, acquiring the time of sending a generated power detection instruction for each photovoltaic module, and taking a generated power predicted value corresponding to the time of sending the generated power detection instruction as a detection result value corresponding to the generated power detection instruction of the photovoltaic module; wherein, to photovoltaic ModulenTime mark for sending generating power detection instruction
Time when power generation power detection instruction is issued
The corresponding generated power predicted value is marked as
In the photovoltaic module detection method of the embodiment, a photovoltaic module array working characteristic parameter set of the whole photovoltaic module array is obtained by collecting a working characteristic parameter set of each photovoltaic module within a preset adopted time period, adaptive compensation factors suitable for the working of all photovoltaic modules in the photovoltaic module array are obtained by calculating influence factors of the position and the temperature of each photovoltaic module on the voltage and the current of each photovoltaic module during the working, after a voltage characteristic curve and a current characteristic curve of each photovoltaic module are obtained by fitting, the obtained adaptive compensation factors are introduced to obtain a voltage characteristic prediction curve and a current characteristic prediction curve representing the actual working of the photovoltaic module, a power generation prediction curve of the photovoltaic module during the actual working is obtained, and further according to the time of sending a power generation detection instruction for each photovoltaic module, and the generated power predicted value corresponding to the moment when the generated power detection instruction is sent is used as the detection result value corresponding to the generated power detection instruction of the photovoltaic module, so that the influence of external factors such as position, temperature and the like on the generated power of the photovoltaic module is considered, and the actual generated power condition of each photovoltaic module can be predicted in advance.
Of course, in order to detect whether each photovoltaic module in the photovoltaic module array generates power normally, in this embodiment, it may also be determined and screened whether each photovoltaic module is qualified in power generation according to a detection result for power generation of each photovoltaic module and a preset normal value of power generation:
when the detection result value of the generated power of the photovoltaic module is greater than or equal to a preset normal value of the generated power, marking the photovoltaic module as a photovoltaic module qualified in power generation work; otherwise, marking the photovoltaic module as a photovoltaic module which is unqualified in power generation operation. Certainly, aiming at the abnormal photovoltaic module which is unqualified in power generation work, the information of the abnormal photovoltaic module can also be sent to an operation and maintenance background; the abnormal photovoltaic module information includes the power generation power value of the photovoltaic module which is unqualified in power generation work and the position coordinate of the photovoltaic module.
In addition, the defective products of the photovoltaic modules at the positions of the photovoltaic modules are counted in the preset counting time period, so that the photovoltaic module replacement frequency at each position in the photovoltaic module array is obtained. Therefore, operation and maintenance personnel of the photovoltaic module array can conveniently know the replacement frequency of each photovoltaic module position on the photovoltaic module array in time. Certainly, the position coordinate with the maximum replacement frequency can be sent to the operation and maintenance background, and the operation and maintenance background is requested to perform fault maintenance, so that the operation and maintenance background of the photovoltaic module can timely learn the unqualified photovoltaic module and perform fault maintenance on the position where the photovoltaic module is frequently replaced, and the normal power generation requirement of the whole photovoltaic module array is ensured.
Although preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A photovoltaic module detection method is characterized by comprising the following steps:
step 1, arranging a plurality of photovoltaic modules into a photovoltaic module array according to a preset array distribution form; the total number of the photovoltaic modules in the photovoltaic Module array is marked as N, and the nth photovoltaic Module in the photovoltaic Module array is marked as Modulen，1≤n≤N；
Step 2, constructing a plane rectangular coordinate system in a plane where the photovoltaic component array is located by taking the position coordinate of the lower left corner of the photovoltaic component array as an origin; the position of the lower left corner of the photovoltaic module array is marked as O, the coordinate corresponding to the position O of the lower left corner is marked as O (0,0), and the constructed rectangular plane coordinate system is marked as xOy;
step 3, acquiring position coordinates of each photovoltaic assembly in the photovoltaic assembly array in the plane rectangular coordinate system; wherein, the photovoltaic Module in the photovoltaic Module arraynPosition coordinate labels in a planar rectangular coordinate system xOy
Step 4, collecting working characteristic parameter sets of all photovoltaic modules in the photovoltaic module array according to a preset sampling time interval in a preset sampling time period to form a photovoltaic module array working characteristic parameter set comprising all the photovoltaic module working characteristic parameter sets;
the working characteristic parameter set of the photovoltaic module comprises voltage, current and temperature of the photovoltaic module; the preset sampling period is marked as TpresetThe predetermined sampling interval is marked as Δ TpresetAt a predetermined sampling period TpresetAccording to a preset sampling time interval delta TpresetCollected photovoltaic ModulenRespectively, the w-th voltage value, the w-th current value and the w-th temperature value are correspondingly marked
And
w is more than or equal to 1 and less than or equal to W, and W is in the preset sampling time period TpresetInterior to photovoltaic ModulenThe total number of collected same working characteristic parameters;
step 5, calculating the temperature mean value of each photovoltaic module in the photovoltaic module array working characteristic parameter set, and taking the temperature mean value as the temperature representation value of the photovoltaic module in the preset sampling time period; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetInner temperature characterization value is marked as
Step 6, obtaining a position-temperature influence factor of the position on the temperature of each photovoltaic module according to the position coordinates of each photovoltaic module in the photovoltaic module array and the temperature representation value of each photovoltaic module; wherein, the position is to the photovoltaic ModulenThe position-temperature influence factor of the temperature is marked as ModulenMarking as
Step 7, obtaining influence factors of the position and temperature dual factors on the voltage and the current of each photovoltaic module respectively according to the position-temperature influence factors of each photovoltaic module and the voltage mean value and the current mean value of each photovoltaic module in a preset sampling time period; wherein, the photovoltaic ModulenAt a preset sampling time period TpresetThe voltage mean value and the current mean value in are respectively marked as
And
position and temperature dual factor pair photovoltaic ModulenThe influence factor of the voltage is marked
Position and temperature dual factor pair photovoltaic ModulenThe influence factor of the current is marked
Step 8, obtaining self-adaptive compensation factors suitable for all photovoltaic modules in the photovoltaic module array when working according to the obtained position-temperature influence factors corresponding to the photovoltaic modules and the influence factors of the position-temperature double factors on the voltage and the current of the photovoltaic modules respectively; wherein, the adaptive compensation factor applicable to all photovoltaic modules in the photovoltaic module array during operation is marked as tau:
step 9, according to the working characteristic parameter set of each photovoltaic module in the working characteristic parameter set of the photovoltaic module array, fitting to obtain a voltage characteristic curve and a current characteristic curve of each photovoltaic module changing along with time in the preset sampling time period; wherein the fitted photovoltaic ModulenIs marked by
Photovoltaic Module obtained through fittingnIs marked by
0≤t'≤Tpreset；
Step 10, obtaining a voltage characteristic prediction curve and a current characteristic prediction curve representing the actual working of the photovoltaic modules according to the obtained adaptive compensation factors and the voltage characteristic curves and the current characteristic curves of the photovoltaic modules;
wherein, the photovoltaic ModulenThe voltage characteristic prediction curve in actual operation is marked
Photovoltaic ModulenThe current characteristic prediction curve in actual operation is marked
Step 11, obtaining a generating power prediction curve of each photovoltaic module in actual working by using the obtained photovoltaic module voltage characteristic prediction curve and current characteristic prediction curve; wherein, the photovoltaic ModulenThe prediction curve of the generated power in actual operation is marked
Step 12, acquiring the time of sending a generated power detection instruction for each photovoltaic module, and taking a generated power predicted value corresponding to the time of sending the generated power detection instruction as a detection result value corresponding to the generated power detection instruction of the photovoltaic module; wherein, to photovoltaic ModulenTime mark for sending generating power detection instruction
Time when power generation power detection instruction is issued
The corresponding generated power predicted value is marked as
2. The photovoltaic module detection method according to claim 1, further comprising: according to the detection result aiming at the power generation power of each photovoltaic module and a preset normal value of the power generation power, whether the power generation work of each photovoltaic module is qualified or not is judged and screened:
when the detection result value of the generated power of the photovoltaic module is greater than or equal to a preset normal value of the generated power, marking the photovoltaic module as a photovoltaic module qualified in power generation work; otherwise, marking the photovoltaic module as a photovoltaic module which is unqualified in power generation operation.
3. The photovoltaic module detection method according to claim 2, further comprising a step of sending abnormal photovoltaic module information that is not qualified in power generation work to an operation and maintenance background; the abnormal photovoltaic module information comprises the power generation power value of the photovoltaic module which is unqualified in power generation work and the position coordinate of the photovoltaic module.
4. The photovoltaic module detection method according to claim 3, further comprising the step of counting defective products of photovoltaic module replacement at positions of the photovoltaic modules within a preset counting time period to obtain photovoltaic module replacement frequency at each position in the photovoltaic module array.
5. The photovoltaic module detection method according to claim 4, further comprising the step of sending the location coordinate with the maximum replacement frequency to the operation and maintenance back office and requesting the operation and maintenance back office to perform troubleshooting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010376499.1A CN111917375B (en) | 2020-05-07 | 2020-05-07 | A kind of photovoltaic module detection method |
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| WO2017074916A1 (en) * | 2015-10-26 | 2017-05-04 | Sunpower Corporation | Automated photovoltaic geospatial location |
| CN110009098A (en) * | 2019-04-19 | 2019-07-12 | 上海交通大学 | A joint estimation method of photovoltaic cell operating temperature and power generation |
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| WO2017074916A1 (en) * | 2015-10-26 | 2017-05-04 | Sunpower Corporation | Automated photovoltaic geospatial location |
| CN110009098A (en) * | 2019-04-19 | 2019-07-12 | 上海交通大学 | A joint estimation method of photovoltaic cell operating temperature and power generation |
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| "无线传感器网络的太阳能供电系统设计";孙滋昂，郑紫微，季克宇;《无线通信技术》;20180722;第12-15页 * |
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