CN116846335B - Intelligent monitoring system and method for preventing PID effect of photovoltaic equipment - Google Patents
Intelligent monitoring system and method for preventing PID effect of photovoltaic equipment Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 170
- 230000000694 effects Effects 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 22
- QTBSBXVTEAMEQO-UHFFFAOYSA-N Acetic acid Chemical compound CC(O)=O QTBSBXVTEAMEQO-UHFFFAOYSA-N 0.000 claims description 30
- 230000008859 change Effects 0.000 claims description 18
- 150000002500 ions Chemical class 0.000 claims description 18
- 238000012423 maintenance Methods 0.000 claims description 13
- 238000004806 packaging method and process Methods 0.000 claims description 8
- 239000005022 packaging material Substances 0.000 claims description 7
- 238000001556 precipitation Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 229910001415 sodium ion Inorganic materials 0.000 claims description 7
- CDBYLPFSWZWCQE-UHFFFAOYSA-L Sodium Carbonate Chemical compound [Na+].[Na+].[O-]C([O-])=O CDBYLPFSWZWCQE-UHFFFAOYSA-L 0.000 claims description 6
- 239000011521 glass Substances 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000009413 insulation Methods 0.000 claims description 4
- 229910000838 Al alloy Inorganic materials 0.000 claims description 3
- 230000002776 aggregation Effects 0.000 claims description 3
- 238000004220 aggregation Methods 0.000 claims description 3
- 230000001174 ascending effect Effects 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 230000005684 electric field Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 229910000029 sodium carbonate Inorganic materials 0.000 claims description 3
- 238000005538 encapsulation Methods 0.000 claims description 2
- 238000010248 power generation Methods 0.000 abstract description 12
- 230000007613 environmental effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- FKNQFGJONOIPTF-UHFFFAOYSA-N Sodium cation Chemical compound [Na+] FKNQFGJONOIPTF-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003916 acid precipitation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
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- 238000005259 measurement Methods 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
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- 239000002994 raw material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention discloses an intelligent monitoring system and method for preventing PID effect of photovoltaic equipment, and relates to the field of photovoltaic module power generation systems.
Description
Technical Field
The invention relates to the field of photovoltaic module power generation systems, in particular to an intelligent monitoring system and method for preventing PID effect of photovoltaic equipment.
Background
The new energy power generation is a mode of realizing power generation by using renewable energy, has wide energy sources, is favorable for environmental protection, gradually occupies higher share in the power generation field along with the popularization of the green environmental protection concept and becomes the main stream direction of future energy power generation;
the existing new energy power generation mainly depends on photovoltaic power generation and wind power generation, wherein photovoltaic equipment for photovoltaic power generation refers to machine equipment used in products such as production raw materials, battery components and parts of photovoltaic manufacturing enterprises, PID effect (Potential Induced Degradation) is totally called potential induced attenuation, namely the phenomenon that leakage current exists and power attenuation occurs in the battery components under the action of high voltage, the power attenuation is more serious in the application scene of high temperature and high humidity, the power output of the whole string is influenced, PID effect formation causes are external causes and internal causes, the external causes are that under the humid environment, the activity degree is related to the humidity degree, the pollution degree of objects with ions on the surfaces of the components is related to the generation of leakage current due to the environmental conditions such as humidity, if PID effect can be found in time and early warning is carried out, the problem can be solved, and convenience is provided for the follow-up analysis.
Therefore, an intelligent monitoring system and method for preventing PID effect of photovoltaic equipment are provided to solve the above problems.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system and method for preventing PID effect of photovoltaic equipment, so as to solve the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical methods: an intelligent monitoring method for preventing PID effect of photovoltaic equipment comprises the following steps;
s1, acquiring temperature information at the current moment, judging whether the temperature information at the current moment is greater than a temperature monitoring threshold value, and if so, acquiring operation environment parameters at the current moment;
s2, calculating the running environment state data of the current photovoltaic module according to the running environment parameters;
s3, comparing the current running environment state data with running threshold conditions, and generating maintenance alarm information according to a judging result.
Further, in step S2, the operation environment parameters include humidity information and PH information; the change of the environment on each microscopic level is monitored, and the running environment state data of the current photovoltaic module is calculated by the following steps:
s201, setting the PH value of the photovoltaic module at the initial installation as X, and measuring the packaging material once every unit monitoring time when the temperature is higher than the monitoring threshold valueThe pH of the surface, recorded as P ij When P ij When the value is smaller than the initial PH value X, the precipitation of acetic acid molecules is judged to occur, and the value is taken so that P ij ＝X-P ij ；
S202, measuring the PH value of the surface after unit monitoring time to be P ij+1 And the PH value P of the surface of the packaged object before unit monitoring time ij Comparing; if the PH value is continuously reduced and is in a descending trend, the value is taken to be P ij+1 ＝P ij -P ij+1 The method comprises the steps of carrying out a first treatment on the surface of the If the PH value continuously increases and is in an ascending trend, the value is taken to be P i+1j ＝P i+1j -P ij ；
S203, repeating the step S202 within m minutes, and accumulating the value of each time to be P ij Select to output to variable set m_j such that m_j= { P ij ，P ij+1 ，P ij+2 ，P ij+3 ，…，P ij+n The elements in the M_J set are the PH value variation after each acetic acid molecule precipitation; select output to variable set n_i such that n_i= { P ij ，P i+1j ，P i+2j ，P i+3j ，…P i+nj The elements in the N_I set are the PH value change quantity when acetic acid molecules and sodium carbonate in glass are in reaction to separate out sodium ions each time;
s204, respectively calculating the crowding degree of elements in the N_I set and the M_J set, wherein the PH change value of the tiny chemical change in the microscopic level of each unit monitoring time is u, giving a weight value 1 to the element value not less than u, giving a weight value 0 to the element value less than u, and calculating the N_I setμ is the weight of the element, P is the number of elements in the set, Y is the crowding of the elements in the set; similarly calculate +.>The change of each microscopic level of the environment is monitored, and the running environment state data of the current photovoltaic module is calculated, so that the slight change of the surface of the photovoltaic module is visible, and the PID effect is prevented.
Further, in step S3, comparing the current operating environment status data with an operating threshold condition, and generating maintenance alarm information according to a determination result, including:
comparing the Y value calculated by the N_I set, if the Y value is higher than a threshold value, comparing the Y value calculated by the M_J set, and if the Y value is higher than the threshold value, reporting a warning; according to the current operation environment state data and the operation threshold condition, the maintenance alarm information is generated according to the judgment result, the visualization of the maintenance alarm information is realized, the readability of the monitoring information is improved, the workflow of operation and maintenance personnel of the transformer substation is simplified, and the working efficiency is improved.
An intelligent monitoring system for preventing PID effects of photovoltaic devices, the system comprising: the system comprises an environment monitoring module, a circuit monitoring module, a microscopic monitoring module and a processing module;
the environment monitoring module is used for monitoring the environment temperature and the environment humidity of the photovoltaic equipment;
the circuit monitoring module is used for monitoring voltage deviation caused by direct current high voltage of the photovoltaic module and the packaging frame, and leakage current phenomenon caused by reduced insulation effect of the packaging module;
the microscopic monitoring module is used for monitoring the aggregation phenomenon and the flow direction of electrons and ions;
the processing module is electrically connected with the environment monitoring module, the circuit monitoring module and the micro monitoring module respectively and receives data.
Further, the environment monitoring module comprises a temperature monitoring unit and a humidity monitoring unit; the temperature monitoring unit is used for monitoring the ambient temperature of the photovoltaic equipment, the working temperature of the photovoltaic equipment and early warning the condition exceeding a temperature threshold value, the humidity monitoring unit is used for monitoring the ambient humidity of the photovoltaic equipment and early warning the high-humidity environment according to the probability of occurrence of the PID effect of the humidity condition; the environment monitoring module monitors and early warns the high-temperature and high-humidity environment condition breaking through the threshold value by monitoring the environment temperature and the humidity, and prompts staff to check and maintain the equipment.
Further, the circuit monitoring module comprises a voltage monitoring unit and a current monitoring unit; the voltage monitoring unit is used for monitoring direct current voltage between the battery piece and the aluminum alloy frame of the component, monitoring voltage bias phenomenon, and the current monitoring unit is used for monitoring leakage current phenomenon existing between the packaging material and glass; the circuit monitoring module monitors the voltage deviation caused by direct current high voltage of the photovoltaic module and the packaging frame and the leakage current phenomenon caused by the reduction of the insulation effect of the packaging module, so that abnormal conditions are timely monitored, and the PID effect is solved by the circuit monitoring module through the configured PID function module.
Further, the microscopic monitoring module comprises an electronic monitoring unit and an ion monitoring unit; the electronic monitoring unit is used for monitoring an electron loss phenomenon caused by PN junction leakage, and the ion monitoring unit is used for monitoring an ion enrichment phenomenon caused by sodium ions generated by the decomposition of the packaging material moving to the surface of the battery piece under the action of an external electric field; the microcosmic monitoring module monitors the electron loss phenomenon and the ion enrichment phenomenon caused by PN junction leakage, so that the existence and migration of impurities on the surface of the battery piece are prevented from the microcosmic level, the electron loss in the PN junction is prevented, and the PID effect is prevented.
Further, the system comprises: the system monitors the temperature of the environment and the photovoltaic equipment by using a temperature monitoring unit, monitors the humidity of the environment and the equipment by using a humidity monitoring unit when the current temperature is greater than a temperature monitoring threshold value, monitors electrons and ions by using a microscopic monitoring module, monitors the current and the voltage of each component part of the photovoltaic equipment by using a circuit monitoring module, acquires PH value information, calculates the running environment state data of the current photovoltaic module after obtaining the running environment parameters at the current moment, compares the current running environment state data with the running threshold value condition, and generates maintenance alarm information according to a judging result; the system effectively captures each minute change through a microscopic level monitoring method, obtains the change times of minute chemical changes in a period of time, can timely discover the PID effect and perform early warning, and provides convenience for subsequent analysis and problem solving.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention researches the cause of PID, analyzes the generation process of PID effect, cuts in from various causes in the development process, eliminates various factors causing PID effect by monitoring and maintaining the state of the photovoltaic equipment at different stages, and ensures the output efficiency of the photovoltaic power generation assembly.
2. According to the invention, unified management monitoring and information integration of the system are utilized, various complex information is planned and classified, the timeliness and reliability of the monitoring information are improved, the robustness of the photovoltaic power generation assembly is enhanced, and the effective service life of the photovoltaic assembly is prolonged.
3. The invention utilizes the visualization module of the system, improves the readability of the monitoring information, simplifies the working flow of operation and maintenance personnel of the transformer substation, and improves the working efficiency.
4. The invention provides a method for researching chemical change at a microscopic level, which enables the tiny change of the surface of a photovoltaic module to be visible and prevents the occurrence of PID effect.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of an intelligent monitoring system for preventing PID effects of photovoltaic devices according to the present invention;
FIG. 2 is a flow chart of steps of an intelligent monitoring method for preventing PID effects of photovoltaic devices according to the present invention;
fig. 3 is a flow chart of microscopic reaction monitoring steps of an intelligent monitoring method for preventing PID effect of photovoltaic equipment according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to fig. 1-3 and the specific embodiments.
Embodiment one:
as shown in fig. 2 and 3, the present embodiment provides an intelligent monitoring method for preventing PID effect of photovoltaic equipment, which includes the following steps:
s1, acquiring temperature information at the current moment, judging whether the temperature information at the current moment is larger than a temperature monitoring threshold value, and if so, acquiring operation environment parameters at the current moment.
S2, calculating the running environment state data of the current photovoltaic module according to the running environment parameters;
in step S2, the operation environment parameters include humidity information and PH information; the change of the environment on each microscopic level is monitored, and the running environment state data of the current photovoltaic module is calculated by the following steps:
s201, setting the PH value of the photovoltaic module at the initial installation as X, measuring the PH value of the surface of the encapsulation at intervals of unit monitoring time when the temperature is higher than a monitoring threshold value, and recording as P ij When P ij When the value is smaller than the initial PH value X, the precipitation of acetic acid molecules is judged to occur, and the value is taken so that P ij ＝X-P ij ；
S202, measuring the PH value of the surface after unit monitoring time to be P ij+1 And the PH value P of the surface of the packaged object before unit monitoring time ij Comparing; if the PH value is continuously reduced and is in a descending trend, the value is taken to be P ij+1 ＝P ij -P ij+1 The method comprises the steps of carrying out a first treatment on the surface of the If the PH value continuously increases and is in an ascending trend, the value is taken to be P i+1j ＝P i+1j -P ij ；
S203, repeating the step S202 within m minutes, and accumulating the value of each time to be P ij Select to output to variable set m_j such that m_j= { P ij ，P ij+1 ，P ij+2 ，P ij+3 ，…，P ij+n The elements in the M_J set are the PH value variation after each acetic acid molecule precipitation; select output to variable set N_I such that N\uI＝{P ij ，P i+1j ，P i+2j ，P i+3j ，…P i+nj The elements in the N_I set are the PH value change quantity when acetic acid molecules and sodium carbonate in glass are in reaction to separate out sodium ions each time;
s204, respectively calculating the crowding degree of elements in the N_I set and the M_J set, wherein the PH change value of the tiny chemical change in the microscopic level of each unit monitoring time is u, giving a weight value 1 to the element value not less than u, giving a weight value 0 to the element value less than u, and calculating the N_I setμ is the weight of the element, P is the number of elements in the set, Y is the crowding of the elements in the set; similarly calculate +.>
S3, comparing the current running environment state data with running threshold conditions, and generating maintenance alarm information according to a judgment result;
in step S3, comparing the current operating environment state data with an operating threshold condition, and generating maintenance alarm information according to a judgment result, including:
and comparing the Y values calculated by the N_I set, if the Y values are higher than the threshold value, comparing the Y values calculated by the M_J set, and if the Y values are higher than the threshold value, reporting the warning.
For example:
in step S1, if the temperature information at the current time is greater than the temperature monitoring threshold, the operating environment parameter at the current time is obtained.
In step S2, the initial PH is recorded as 7.2, the PH is measured once every 30 ms, the PH is measured as 7.15, the PH is decreased, the acetic acid precipitation is determined, the value variation is output as 0.05 to the variable set m_j, the PH is measured as 7.18, the PH is increased, the sodium ion precipitation is determined, the value variation is output as 0.03 to the variable set n_i, the measurement is repeated within 3 minutes, the PH variation of each time is recorded, and the element crowding degree of the n_i set and the element crowding degree of the m_j set are respectively calculated.
In step S3, if the element crowding degree calculated by the n_i set and the m_j set is higher than the threshold, the warning is reported.
Embodiment two:
as shown in fig. 1, the present embodiment provides an intelligent monitoring system for preventing PID effect of photovoltaic equipment, which is implemented based on the intelligent monitoring method in the embodiment, and the specific system includes: the system comprises an environment monitoring module, a circuit monitoring module, a microscopic monitoring module and a processing module;
the environment monitoring module is used for monitoring the environment temperature and the environment humidity of the photovoltaic equipment;
the environment monitoring module comprises a temperature monitoring unit and a humidity monitoring unit; the temperature monitoring unit is used for monitoring the ambient temperature of the photovoltaic equipment, the working temperature of the photovoltaic equipment and early warning the condition exceeding a temperature threshold, the humidity monitoring unit is used for monitoring the ambient humidity of the photovoltaic equipment and early warning the high humidity environment according to the probability of occurrence of the PID effect of the humidity condition prejudgement.
The circuit monitoring module is used for monitoring voltage deviation caused by direct current high voltage of the photovoltaic module and the packaging frame, and leakage current phenomenon caused by reduced insulation effect of the packaging module;
the circuit monitoring module comprises a voltage monitoring unit and a current monitoring unit; the voltage monitoring unit is used for monitoring direct current voltage between the battery piece and the aluminum alloy frame of the component, monitoring voltage bias phenomenon, and the current monitoring unit is used for monitoring leakage current phenomenon existing between the packaging material and glass.
The microscopic monitoring module is used for monitoring the aggregation phenomenon and the flow direction of electrons and ions;
the microcosmic monitoring module comprises an electronic monitoring unit and an ion monitoring unit; the electronic monitoring unit is used for monitoring the electron loss phenomenon caused by PN junction leakage, and the ion monitoring unit is used for monitoring the ion enrichment phenomenon caused by sodium ions generated by the decomposition of the packaging material moving to the surface of the battery piece under the action of an external electric field.
The processing module is respectively and electrically connected with the environment monitoring module, the circuit monitoring module and the micro monitoring module and receives data;
the system monitors the temperature of the environment and the photovoltaic equipment by using the temperature monitoring unit, monitors the humidity of the environment and the equipment by using the humidity monitoring unit when the current temperature is larger than a temperature monitoring threshold value, monitors electrons and ions by using the microscopic monitoring module, monitors the current and the voltage of each component part of the photovoltaic equipment by using the circuit monitoring module, acquires PH value information, calculates the running environment state data of the current photovoltaic module after the running environment parameters at the current moment are obtained, compares the current running environment state data with the running threshold value condition, and generates maintenance alarm information according to the judgment result.
For example:
the system monitors the temperature of the environment and the photovoltaic equipment by using a temperature monitoring unit, the current temperature is larger than a temperature monitoring threshold value, the humidity of the environment and the equipment is monitored by using a humidity monitoring unit, electrons and ions are monitored by using a microscopic monitoring module, each component of the photovoltaic equipment is monitored by using a circuit monitoring module, PH value information is obtained, after the running environment parameters at the current moment are obtained, the running environment state data of the current photovoltaic module are calculated, the current running environment state data are not larger than the running threshold value condition, and no alarm information is generated.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An intelligent monitoring method for predicting PID effect of photovoltaic equipment is characterized by comprising the following steps:
s1, acquiring temperature information at the current moment, judging whether the temperature information at the current moment is greater than a temperature monitoring threshold value, and if so, acquiring operation environment parameters at the current moment;
s2, calculating the running environment state data of the current photovoltaic module according to the running environment parameters;
s3, comparing the current running environment state data with running threshold conditions, and generating maintenance alarm information according to a judgment result;
the operation environment parameters comprise humidity information and PH value information; the change of the environment on each microscopic level is monitored, and the running environment state data of the current photovoltaic module is calculated by the following steps:
s201, setting the PH value of the photovoltaic module at the initial installation as X, measuring the PH value of the surface of the encapsulation at intervals of unit monitoring time when the temperature is higher than a monitoring threshold value, and recording as P ij When P ij When the value is smaller than the initial PH value X, the precipitation of acetic acid molecules is judged to occur, and the value is taken so that P ij ＝X-P ij ；
S202, measuring the PH value of the surface after unit monitoring time to be P ij+1 And the PH value P of the surface of the packaged object before unit monitoring time ij Comparing; if the PH value is continuously reduced and is in a descending trend, the value is taken to be P ij+1 ＝P ij -P ij+1 The method comprises the steps of carrying out a first treatment on the surface of the If the PH value continuously increases and is in an ascending trend, the value is taken to be P i+1j ＝P i+1j -P ij ；
S203, repeating the step S202 within m minutes, and accumulating the value of each time to be P ij Select to output to variable set m_j such that m_j= { P ij ,P ij+1 ,P ij+2 ,P ij+3, ···,P ij+n The elements in the M_J set are the PH value variation after each acetic acid molecule precipitation; select output to variable set n_i such that n_i= { P ij ，P i+1j ，P i+2j ，P i+3j ，···P i+nj The elements in the N_I set are the PH value change quantity when acetic acid molecules and sodium carbonate in glass are in reaction to separate out sodium ions each time;
s204, respectively calculating the crowding degree of the elements in the N_I set and the M_J set, and each time, monitoring the tiny in the time microscopic layerThe PH change value of the chemical change is u, the element value is not less than u and is given a weight value of 1, the element value is less than u and is given a weight value of 0, and the N_I set is calculatedμ is the weight of the element, P is the number of elements in the set, Y is the crowding of the elements in the set; similarly calculate +.>
2. An intelligent monitoring method for predicting PID effects of photovoltaic devices as claimed in claim 1, wherein: the step of comparing the current operation environment state data with an operation threshold condition and generating maintenance alarm information according to a judgment result comprises the following steps:
comparing the Y values calculated by the N_I sets, if the Y values are higher than the threshold value, comparing the Y values calculated by the M_J sets, and if the Y values are higher than the threshold value, reporting the warning.
3. An intelligent monitoring system for preventing PID effect of photovoltaic equipment, which is characterized in that: the system comprises: the system comprises an environment monitoring module, a circuit monitoring module, a microscopic monitoring module and a processing module;
the environment monitoring module is used for monitoring the environment temperature and the environment humidity of the photovoltaic equipment;
the circuit monitoring module is used for monitoring voltage deviation caused by direct current high voltage of the photovoltaic module and the packaging frame, and leakage current phenomenon caused by reduced insulation effect of the packaging module;
the microscopic monitoring module is used for monitoring the aggregation phenomenon and the flow direction of electrons and ions;
the processing module is respectively and electrically connected with the environment monitoring module, the circuit monitoring module and the micro monitoring module and receives data; the processing module being adapted to perform the method of any of the preceding claims 1-2.
4. A system according to claim 3, characterized in that: the environment monitoring module comprises a temperature monitoring unit and a humidity monitoring unit; the temperature monitoring unit is used for monitoring the ambient temperature of the photovoltaic equipment, the working temperature of the photovoltaic equipment and early warning the condition exceeding a temperature threshold, the humidity monitoring unit is used for monitoring the ambient humidity of the photovoltaic equipment and early warning the high humidity environment according to the probability of occurrence of the PID effect of the humidity condition prejudgement.
5. A system according to claim 3, characterized in that: the circuit monitoring module comprises a voltage monitoring unit and a current monitoring unit; the voltage monitoring unit is used for monitoring direct current voltage between the battery piece and the aluminum alloy frame of the component, monitoring voltage bias phenomenon, and the current monitoring unit is used for monitoring leakage current phenomenon existing between the packaging material and glass.
6. A system according to claim 3, characterized in that: the microcosmic monitoring module comprises an electronic monitoring unit and an ion monitoring unit; the electronic monitoring unit is used for monitoring the electron loss phenomenon caused by PN junction leakage, and the ion monitoring unit is used for monitoring the ion enrichment phenomenon caused by sodium ions generated by the decomposition of the packaging material moving to the surface of the battery piece under the action of an external electric field.
7. A system according to claim 3, characterized in that the system comprises: the system monitors the temperature of the environment and the photovoltaic equipment by using the temperature monitoring unit, monitors the humidity of the environment and the equipment by using the humidity monitoring unit when the current temperature is greater than a temperature monitoring threshold value, monitors electrons and ions by using the microscopic monitoring module, monitors the current and the voltage of each component part of the photovoltaic equipment by using the circuit monitoring module, acquires PH value information, calculates the running environment state data of the current photovoltaic module after obtaining the running environment parameters at the current moment, compares the current running environment state data with the running threshold value condition, and generates maintenance alarm information according to the judgment result.
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