WO2022085833A1 - Système de diagnostic de la dégradation de la production photovoltaïque - Google Patents

Système de diagnostic de la dégradation de la production photovoltaïque Download PDF

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WO2022085833A1
WO2022085833A1 PCT/KR2020/014665 KR2020014665W WO2022085833A1 WO 2022085833 A1 WO2022085833 A1 WO 2022085833A1 KR 2020014665 W KR2020014665 W KR 2020014665W WO 2022085833 A1 WO2022085833 A1 WO 2022085833A1
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module
unit
rate
change
degree
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PCT/KR2020/014665
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Korean (ko)
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송기택
이철송
김성지
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(주)대은
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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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/003—Measuring mean values of current or voltage during a given time interval
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • 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

Definitions

  • the present invention relates to a photovoltaic aging diagnosis system, and more particularly, for a string in which power deviation occurs, the degree of deterioration is calculated according to the change rate of the average voltage value of each photovoltaic module, and the average voltage value in consideration of weather information It relates to a photovoltaic aging diagnosis system that can accurately diagnose the degree of deterioration of a photovoltaic module by correcting it.
  • Solar power generation which is a field of new and renewable energy, has recently rapidly increased in demand due to its many advantages, and technologies to increase power generation efficiency have been developed a lot.
  • photovoltaic devices have been installed in various forms, such as a building-integrated photovoltaic device (BIPV), as well as on the roof or water of a building.
  • BIPV building-integrated photovoltaic device
  • the generated power of the string is monitored to maintain the optimal output, but the detailed aging state of the solar modules cannot be grasped, so there is a problem in that efficient management of the solar modules is not performed.
  • Patent Document Patent Publication No. 10-1857916 (registered on May 08, 2018) "Power generation power control monitoring system for each string of solar power generation device using voltage application control system"
  • the present invention has been devised to solve the above problems,
  • the present invention accurately calculates the deterioration degree of a solar module by correcting the average voltage value in consideration of weather information while calculating the deterioration degree according to the change rate of the average voltage value of each solar module for the string in which the power deviation occurs.
  • An object of the present invention is to provide a solar power aging diagnosis system that can be diagnosed.
  • the present invention measures the average voltage value for a unit period for each solar module, calculates the average change rate of the average voltage value for a certain period, and calculates the average value between the solar modules included in the same string.
  • An object of the present invention is to provide a photovoltaic aging diagnosis system that enables a more accurate calculation of the degree of deterioration by calculating the degree of deterioration according to the average value of the change rate of each photovoltaic module using the average value of the change rate as a reference rate of change.
  • the rate of change of the average voltage value during a unit period exceeds the average value between the solar modules in the same string and accumulates to a certain degree, it is necessary to check the solar module.
  • the purpose of this is to provide a photovoltaic aging diagnosis system that allows rapid inspection of abnormal signs of photovoltaic modules even before the calculation of the degree of deterioration by judging it to be a problem and notifying it.
  • An object of the present invention is to provide a solar power aging diagnosis system.
  • the present invention predicts the abnormal state of the solar module using the IV curve of the string, so that the abnormal state can be quickly and accurately identified before the deterioration degree is calculated, and through this, it is possible to efficiently cope with the abnormal state of the solar module
  • An object of the present invention is to provide a solar power aging diagnosis system.
  • An object of the present invention is to provide a photovoltaic aging diagnosis system that allows for more rapid measurement of deterioration by measuring the degree of deterioration according to the quantum efficiency of a photovoltaic module.
  • the present invention is implemented by an embodiment having the following configuration in order to achieve the above object.
  • a photovoltaic aging diagnosis system includes a photovoltaic device having a plurality of strings connected in series with a plurality of photovoltaic modules, and monitoring the state of the photovoltaic device.
  • the monitoring server includes a deterioration diagnosis unit for diagnosing the degree of aging of the solar module, wherein the deterioration diagnosis unit includes a string detection unit for detecting a string having a relatively low output, and each solar module of the detected string a unit voltage measuring unit for measuring an average voltage value for a unit period, and a deterioration degree calculating unit for calculating a degree of deterioration of the solar module according to a change rate of the average voltage value, wherein the unit voltage measuring unit includes: It is characterized in that the voltage value is corrected in consideration of the weather information.
  • the unit voltage measuring unit includes a module voltage measuring module for measuring the voltage of each photovoltaic module, and a voltage value measured for a unit period. It is characterized in that it comprises a unit period storage module for storing, a unit average calculation module for calculating an average voltage value for each solar module for a unit period, and a correction factor application module for correcting the average voltage value according to weather information.
  • the deterioration calculation unit includes a rate of change calculation module for calculating the rate of change of the average voltage value calculated by the unit voltage measuring unit;
  • a change rate accumulation storage module for accumulatively storing the rate of change of the average voltage value for a certain period, a rate of change average operation module for calculating an average value of the average voltage value change rate for each photovoltaic module, and the average rate of change calculated by the rate average operation module
  • a reference rate of change calculation module for calculating the average value of photovoltaic modules in the same string, and a degree of deterioration for calculating the degree of deterioration according to the ratio of the average rate of change of each solar module to the reference rate of change calculated by the reference rate of change calculation module It is characterized in that it includes a calculation module.
  • the monitoring server includes an inspection request unit that recognizes and informs the need for inspection before calculating the degree of deterioration for each solar module, , the inspection request unit unit period average voltage value of each photovoltaic module, and a unit change rate reference calculation module for calculating an average value between photovoltaic modules in the same string with respect to the rate of change of the average voltage value between unit periods; a change rate comparison module for comparing the rate of change of the average voltage value of each solar module with a reference rate of change; an excess degree calculation module for calculating a degree in which the degree of decrease of the change rate exceeds the average change rate; an accumulation storage module for accumulating and storing the excess degree; and an inspection notification module that determines that inspection is necessary when the accumulated value exceeds the set value and informs the user of this.
  • the monitoring server includes a failure detection unit for detecting a sudden abnormality of the solar module, and the failure detection unit calculates the excess degree A change rate excess receiving module that receives information on the excess of the rate of change by the module; It is characterized in that it includes a value comparison module and a failure notification module that determines that the number of consecutive times exceeds a threshold value as an abnormality of the corresponding solar module and informs it.
  • the monitoring server includes a string diagnosis unit for predicting the state of the string using the IV curve of each string, and the string diagnosis The unit includes a string state measurement module for measuring voltage and current information of each string; an IV curve forming module for generating an IV curve according to the measured voltage and current; a reference value setting module for setting reference values for maximum power, maximum current, and maximum voltage on the IV curve; a measured value comparison module for comparing a reference value with an actual measured value; an error rate calculation module for calculating an error rate of an actual measured value with respect to a reference value for maximum power, maximum current, and maximum voltage; a correlation analysis module for analyzing the correlation between the error rate and the abnormal state of the solar module; and an anomaly detection module that detects an abnormal state according to an error rate according to the analyzed correlation.
  • the string diagnosis unit includes a result comparison module for comparing the result detected by the abnormality detection module with the actual result, and the actual result and It is characterized in that it comprises a correlation update module for updating the analysis of the correlation according to the error rate to match.
  • a photovoltaic aging diagnosis system includes a photovoltaic device including a plurality of strings to which a plurality of photovoltaic modules are connected in series, and monitoring the state of the photovoltaic device.
  • the monitoring server includes a degradation diagnosis unit for diagnosing the degree of aging of the solar module, wherein the degradation diagnosis unit is a quantum efficiency diagnosis for calculating the degree of aging according to the quantum efficiency in a specific wavelength band of the solar module a quantum efficiency storage module that measures and stores the quantum efficiency of each solar module, an output storage module that stores an output when measuring quantum efficiency, and analyzes the correlation between quantum efficiency and output a correlation function derivation module, a quantum efficiency measurement module for measuring the quantum efficiency of a solar module at regular time intervals, an output conversion module for converting quantum efficiency into an output according to a correlation, and a degree of change of the converted output for a certain period It is characterized in that it comprises a reference output calculation module for calculating the average value of, and a deterioration degree calculation module for calculating the degree of deterioration according to the conversion output change rate of each solar module with respect to the average value of the degree of change.
  • the degradation diagnosis unit is a quantum efficiency diagnosis for calculating the degree of aging according to the quantum efficiency in
  • the present invention can obtain the following effects by the configuration, combination, and use relationship described below with the present embodiment.
  • the present invention accurately calculates the deterioration degree of a solar module by correcting the average voltage value in consideration of weather information while calculating the deterioration degree according to the change rate of the average voltage value of each solar module for the string in which the power deviation occurs. It is effective in making a diagnosis.
  • the present invention measures the average voltage value for a unit period for each solar module, calculates the average change rate of the average voltage value for a certain period, and calculates the average value between the solar modules included in the same string.
  • the rate of change of the average voltage value during a unit period exceeds the average value between the solar modules in the same string and accumulates to a certain degree, it is necessary to check the solar module.
  • it has the effect of allowing a quick check for abnormal signs of the photovoltaic module even before the deterioration degree is calculated.
  • the rate of change of the average voltage value during the unit period exceeds the average value between the photovoltaic modules in the same string and continues for more than a certain number of times, it is determined that an abnormality has occurred and notified so that it is possible to quickly respond to the failure. has the effect of making it happen.
  • the present invention predicts the abnormal state of the solar module using the IV curve of the string, so that the abnormal state can be quickly and accurately identified before the deterioration degree is calculated, and through this, it is possible to efficiently cope with the abnormal state of the solar module has the effect of making it happen.
  • the present invention has the effect of enabling faster measurement of the degree of degradation by measuring the degree of degradation according to the quantum efficiency of the solar module.
  • FIG. 1 is a configuration diagram of a solar power aging diagnosis system according to an embodiment of the present invention.
  • FIG. 2 is a configuration diagram of the photovoltaic device of FIG. 1;
  • FIG. 3 is a block diagram showing the configuration of the monitoring server of Figure 1;
  • FIG. 4 is a block diagram showing the configuration of the string detection unit of FIG.
  • FIG. 5 is a block diagram showing the configuration of the unit voltage measuring unit of FIG.
  • FIG. 6 is a block diagram showing the configuration of the deterioration degree calculation unit of FIG.
  • FIG. 7 is a block diagram showing the configuration of the inspection request unit of FIG.
  • FIG. 8 is a block diagram showing the configuration of the failure detection unit of FIG.
  • FIG. 9 is a block diagram showing the configuration of the string diagnosis unit of FIG.
  • FIG. 10 is a reference diagram showing an example of an IV curve
  • FIG. 11 is a block diagram showing the configuration of a quantum efficiency diagnosis unit of a solar power aging diagnosis system according to another embodiment of the present invention.
  • connection panel 16 voltage measuring sensor 17: string measuring sensor
  • deterioration diagnosis unit 311 string detection unit 311a: string measurement module
  • 311b string comparison module 311c: problem string selection module
  • 311d deterioration diagnosis request module 312: unit voltage measurement unit 312a: module voltage measurement module
  • 312b unit period storage module 312c: unit average calculation module
  • correction coefficient application module 313 deterioration degree calculation unit 313a: change rate calculation module
  • 313d standard change rate calculation module 313e: deterioration degree calculation module
  • quantum efficiency diagnosis unit 314a quantum efficiency storage module 314b: output storage module
  • 314c correlation function derivation module 314d: quantum efficiency measurement module 314e: output conversion module
  • 314f reference output calculation module 314g: deterioration degree calculation module
  • inspection request unit 321 unit change rate standard calculation module 322: change rate comparison module
  • threshold value comparison module 334 failure notification module 34: string diagnosis unit
  • anomaly detection module 348 result comparison module 349: correlation update module
  • the solar power generation aging diagnosis system includes a string 12 in which a plurality of photovoltaic modules 11 are connected in series. It includes a photovoltaic device (1) having a plurality of, and a monitoring server (3) for monitoring the state of the photovoltaic device (1).
  • the aging diagnosis system measures the voltage of the photovoltaic module 11 for a unit period to calculate an average value, calculates the rate of change of the average voltage value for a certain period, and calculates the average of these change rates for each It is possible to know how much the average voltage value of the solar module 11 has changed. And by calculating the average value of the average change rate of the average voltage value for a certain period within the same string 12 again and using this as the reference rate of change to calculate the degree of aging according to the average rate of change of each photovoltaic module, the relative To accurately diagnose the degree of aging.
  • the photovoltaic device (1) is a device for generating power by sunlight and is connected to the monitoring server (3) and may be installed in plurality, and a string (12) to which the photovoltaic module (11) is connected in series. ; an array 13 in which a plurality of strings 12 are connected in parallel; an inverter 14 for converting DC power generated using sunlight into AC power and supplying it to consumers; a connection board 15 for facilitating wiring between the array 13 and the inverter 14 and performing various protective functions; a voltage measuring sensor 16 for measuring the voltage of the solar module 11; String measurement sensor 17 for measuring the current and voltage of the string 12; includes.
  • the string 12 is a configuration in which the photovoltaic modules 11 are connected in series, and the photovoltaic modules 11, which are the minimum units of photovoltaic power generation, are connected in series to form a single unit constituting a DC circuit as a string. (12) is defined.
  • the array 13 is a configuration in which a plurality of the strings 12 are connected in parallel, and depending on the scale of photovoltaic power generation, from a few strings to a maximum of several tens to hundreds of strings are connected in parallel to form one array ( 13) can be achieved, and such an array 13 is also expressed as a solar panel in another expression.
  • the inverter 14 is configured to convert DC power generated using sunlight into AC power and supply it to consumers, and the DC power generated from each of the string 12 stages constituting the series circuit is provided. It is converted into AC power usable by the consumer and sent to the grid. In the configuration for performing such power conversion, the inverter 14 is connected to each array 13 to perform a function.
  • connection panel 15 is a configuration that facilitates the connection between the array 13 and the inverter 14 and performs various protection functions, and is generally a solar power generation connection panel, such as a configuration for preventing reverse current in the system of the present invention. It may include the components included in the.
  • the voltage measuring sensor 16 is configured to measure the voltage of the photovoltaic module 11, and measures the voltage of each photovoltaic module 11 in real time and transmits it to the monitoring server 3, through which It calculates the degree of aging of each solar module, and makes it possible to diagnose the need for inspection and detect failures.
  • the string measurement sensor 17 is configured to measure the current and voltage of each string 12 , and the voltage and current information measured thereby is also transmitted to the monitoring server 3 in real time. The information measured by the string measurement sensor 17 is used to determine the string 12 to calculate the output to calculate the degree of aging, and an IV curve can be formed to diagnose the state of the solar module 11 .
  • the monitoring server 3 is configured to monitor the state of the photovoltaic device 1 , and allows the aging degree of the photovoltaic module 11 to be diagnosed. In addition, the monitoring server 3 informs an administrator, etc. of this when the change in voltage accumulates and deviates from the standard independently of the diagnosis of the degree of aging, so that the check can be made, and the change in voltage is continuous for a certain degree or more In case of deviation from the standard, it is judged as a failure so that immediate measures can be taken. In addition, the monitoring server 3 may form an IV curve according to the information measured by the string measurement sensor 17 to predict the state of the solar module 11 . To this end, the monitoring server 3 may include a deterioration diagnosis unit 31 , an inspection request unit 32 , a failure detection unit 33 , and a string diagnosis unit 34 .
  • the deterioration diagnosis unit 31 is configured to diagnose the degree of deterioration of the photovoltaic module 11, and to diagnose the degree of deterioration according to the voltage value of the photovoltaic module 11 measured by the voltage measuring sensor 16. do. In particular, the deterioration diagnosis unit 31 calculates an average voltage value for each solar module 11 for a certain unit period, for example, one day, and the average voltage value for a certain period, for example, one week or one month. to calculate the average of the rate of change for , and compare it between the photovoltaic modules 11 to calculate the relative degree of deterioration within the same string 12 .
  • the deterioration diagnosis unit 31 does not diagnose the degree of aging of the entire photovoltaic module 11 , but the voltage of the photovoltaic modules 11 only for the string 12 in which the power deviation occurs, that is, the output is reduced. By comparing the values and making a diagnosis of the degree of aging, it is possible to reduce the burden of data processing and communication and to efficiently identify the state of aging.
  • the deterioration diagnosis unit 31 may include a string detection unit 311 , a unit voltage measurement unit 32 , and a deterioration degree calculation unit 313 .
  • the string detection unit 311 is configured to detect the string 12 to determine the degree of aging, and selects the string 12 in which the power deviation occurs.
  • the string detection unit 311 may include a string measurement module 311a, a string comparison module 311b, a problem string selection module 311c, and a deterioration diagnosis request module 311d.
  • the string measurement module 311a is configured to measure the current and voltage of each string 12 by the string measurement sensor 17, and to receive the measured information in real time.
  • the string comparison module 311b is configured to compare the output of each string 12, and outputs using the current and voltage values measured by the string measurement sensor 17 for a certain unit period, for example, one day. It is possible to calculate the required power, and through this, output comparison between the strings 12 can be made.
  • the problem string selection module 311c has a configuration that selects the string 12 with reduced output according to the comparison result by the string comparison module 311b, and can select the string 12 with relatively little output. And, more preferably, it is possible to select the string 12 having a relatively large reduction in output.
  • the problem string selection module 311c may select the string 12 having a large output decrease rate by comparing the decrease rate of the output for a certain period, for example, one week or one month, or When the reduction rate is greater than that of the other strings 12 by a certain degree or more, the problem string 12 may be selected aperiodically to calculate the degree of aging.
  • the deterioration diagnosis request module 311d is configured to request the calculation of the degree of deterioration for each photovoltaic module 11, and the unit voltage is measured only for the string 12 selected by the problem string selection module 311c.
  • the deterioration degree can be calculated by the unit 32 and the deterioration degree calculating unit 313 .
  • the unit voltage measuring unit 32 is configured to calculate an average voltage value for a unit period of each solar module 11 , and the average voltage value of only the string 12 selected by the string detection unit 311 . to make the output happen.
  • the unit voltage measuring unit 32 calculates a more accurate average voltage value by correcting the voltage value in consideration of the surrounding weather conditions.
  • the unit voltage measurement unit 32 may include a module voltage measurement module 321 , a unit period storage module 312b , a unit average calculation module 312c , and a correction factor application module 312d .
  • the module voltage measuring module 321 is configured to measure the voltage of each photovoltaic module 11 , and the voltage is measured in real time by the voltage measuring sensor 16 .
  • the unit period storage module 312b is configured to store voltage information measured for a set unit period, for example, to store voltage information in units of one day.
  • the unit average calculation module 312c is configured to calculate an average of voltage values for a unit period, and may calculate an average voltage value for one day.
  • the correction coefficient application module 312d is configured to correct by applying a correction coefficient according to weather conditions to the average voltage value for a unit period, and analyze changes in voltage values according to weather conditions based on past data. It should be reflected in the average voltage value. In other words, since the output voltage from the solar module 11 can be increased or decreased according to the weather conditions, this is reflected in the calculation of the average voltage value to exclude the influence of the weather conditions so that the calculation of the degree of aging can be made more accurately do.
  • the deterioration calculation unit 313 is configured to calculate the degree of deterioration of each solar module 11 , and is applied to the unit voltage measurement unit 32 for the string 12 selected by the string detection unit 311 .
  • the degree of aging is calculated using the average voltage value for a unit period calculated by In particular, the deterioration calculation unit 313 calculates the rate of change of the average voltage value for a certain period, obtains the average of the rate of change, and obtains the average value for the average rate of change of each solar module 11 in the same string. Let the reference rate of change between the solar modules 11 be calculated.
  • the deterioration calculation unit 313 includes a rate of change calculation module 313a, a rate accumulation storage module 313b, an average rate of change calculation module 313c, a reference rate of change calculation module 313d, and a deterioration rate calculation module 313e. may include
  • the rate of change calculation module 313a is configured to calculate a rate of change with respect to an average voltage value during a unit period, and calculates a rate of change of an average voltage value between unit periods, that is, a slope.
  • the change rate accumulation storage module 313b is configured to accumulate and store the rate of change calculated by the rate of change calculation module 313a.
  • the rate-of-change average calculation module 313c is configured to calculate an average value for the rate of change for the average voltage value for a certain period stored by the rate-of-change accumulation storage module 313b. This can be calculated.
  • the reference rate of change calculation module 313d is configured to calculate a rate of change value that is a standard for determining the degree of deterioration of the photovoltaic modules 11 in the same string 12 , and for each photovoltaic module 11 , the rate of change
  • the average value of the rate of change calculated by the average operation module 313c is summed and divided by the number of photovoltaic modules 11 to calculate a reference rate of change value.
  • the deterioration degree calculation module 313e is configured to calculate the degree of deterioration of each photovoltaic module 11, and with respect to the reference rate of change calculated by the reference rate of change calculation module 313d, in the rate of change average calculation module 313c.
  • the degree of deterioration is calculated by the ratio of the average change rate of each solar module 11 calculated by Therefore, the deterioration degree calculation module 313e can measure the relative aging between each photovoltaic module 11 in the same string 12, and through this, the photovoltaic module ( 11), it is possible to check, adjust, and compensate the output by grasping the aging degree, so that the optimal output and efficient management can be achieved.
  • the inspection request unit 32 is configured to notify a manager or the like when it is determined that an inspection of the solar module 11 is necessary separately from the calculation of the deterioration degree, and the unit voltage measurement unit 32 If the rate of change (decrease rate) of the average voltage value during the unit period measured by , is relatively large, and this condition is continuously accumulated, it is determined that an inspection is necessary and immediate measures can be taken.
  • the inspection request unit 32 includes a unit change rate standard calculation module 321, a change rate comparison module 322, an excess degree calculation module 323, a cumulative storage module 324, and an inspection notification module 325. can do.
  • the unit change rate reference calculation module 321 is configured to calculate the average voltage value change rate as a reference between the photovoltaic modules 11 in the same string 12, and calculates the change rate for the average voltage value between unit periods, , to calculate an average value for the rate of change of the solar modules 11 .
  • the unit change rate reference calculation module 321 calculates a reference value for each unit period, and compares the reference value with the average voltage value change rate of the solar module 11 .
  • the rate of change comparison module 322 is configured to compare the rate of change of the average voltage value of each photovoltaic module 11 with the reference value calculated by the unit rate of change reference calculation module 321, and the rate of change is compared for each unit time. make it possible
  • the excess degree calculation module 323 is configured to calculate the degree to which the change rate is exceeded according to the comparison result by the change rate comparison module 322, where "exceeded" means that the degree of reduction is large, and other sunlight It means that the voltage value is reduced relatively more significantly by the module 11 .
  • the cumulative storage module 324 is configured to accumulate and store the degree of excess calculated by the degree of excess calculation module 323, and accumulates and stores the reduction rate of the voltage value when the reduction rate is relatively large.
  • the inspection notification module 325 is configured to notify an administrator of the necessity of inspection when the value accumulated by the accumulation storage module 324 exceeds a set value, and the reduction rate of the voltage value is continuously accumulated and constant In the case of the degree of deterioration, the need for inspection is notified before the degree of deterioration is calculated, so that inspection and response can be made more quickly.
  • the failure detection unit 33 is configured to detect and notify a failure of the photovoltaic module 11, and when the excess state of the average voltage value change rate continues continuously, it is determined that an abnormality has occurred in the photovoltaic module 11 and informs it This allows immediate action to be taken against the failure.
  • the failure detection unit 33 may include a change rate excess receiving module 331 , a continuous count calculation module 332 , a threshold value comparison module 333 , and a failure notification module 334 .
  • the change rate excess receiving module 331 is configured to receive information on the excess degree calculated when the reduction degree of the average voltage value is large by the excess degree calculation module 323, and a photovoltaic module 11 having a different degree of reduction ) to determine whether or not the degree is greater than the set degree, and to receive information on the degree of excess in each unit period.
  • the continuous frequency calculation module 332 is configured to calculate the consecutive number of times when the degree of decrease in the average voltage value received by the change rate excess receiving module 331 is greater than a set degree or more than other solar modules 11, The degree of excess is calculated for each unit period and the number of consecutive times is calculated.
  • the threshold value comparison module 333 is configured to compare the consecutive number of times with a set threshold value, and when the threshold value is exceeded, it is diagnosed as a failure.
  • the failure notification module 334 has a configuration in which, when the number of consecutive times exceeds the threshold by the threshold value comparison module 333, it is determined as an abnormality of the photovoltaic module 11 and notified of this, and a prompt response to the failure can be performed. make it possible
  • the string diagnosis unit 34 is a configuration for diagnosing the state of the strings 12, and before the deterioration degree of each solar module 11 is measured by the deterioration diagnosis unit 31, the state can be predicted in advance. Also, the string diagnosis unit 34 may replace the string detection unit 311 to be used to specify the string 12 for starting the deterioration diagnosis.
  • the string diagnosis unit 34 diagnoses the state using the IV curve of each string, and the IV curve refers to a graph representing changes in current and voltage as shown in FIG. 10 .
  • the string diagnosis unit 34 diagnoses the string using the maximum power value (P MAX ) and the maximum voltage (V MAX ) and the maximum current (I MAX ) at the points representing the maximum power value for the IV curve of each string.
  • the string diagnosis unit 34 compares the maximum power, maximum voltage, and maximum current values in the reference state with the measured maximum power, maximum voltage, and maximum current values of the IV curve to diagnose the string condition. More specifically, the string diagnosis unit 34 calculates the maximum power, maximum voltage, and maximum current values as a reference through the IV curve in a steady state based on the data for a certain period of time, and the values actually measured , and analyzes the correlation between the error and the string state so that the state of the string 12 according to the error can be diagnosed. In addition, the string diagnosis unit 34 checks the actual state of the string 12 and compares it with the diagnosis result, thereby updating the diagnosis process and increasing the accuracy of diagnosis.
  • the string diagnosis unit 34 includes a string state measurement module 341 , an IV curve forming module 342 , a reference value setting module 343 , an actual value comparison module 344 , an error rate calculation module 345 , and an error rate. It may include a correlation analysis module 346 , an anomaly detection module 347 , a result comparison module 348 , and a correlation update module 349 .
  • the string state measurement module 341 is configured to measure the voltage and current of the string 12, and the string measurement sensor 17 measures and stores the voltage and current values of each string 12 in real time. .
  • the IV curve forming module 342 is configured to form an IV curve graph according to the voltage and current values measured by the string state measurement module 341, and measures changes in voltage and current and the maximum power value (P MAX ). ), the voltage and current at the maximum power value as the maximum voltage (V MAX ) and maximum current (I MAX ).
  • the reference value setting module 343 is configured to set the maximum power value (P MAX ), the maximum voltage (V MAX ), and the maximum current (I MAX ), which are the criteria for state diagnosis, Analyze and set the reference values of the maximum power value (P MAX ), the maximum voltage (V MAX ), and the maximum current (I MAX ). In this case, the reference value setting module 343 may allow the reference value to be corrected by reflecting information such as weather conditions, solar radiation, and surface temperature.
  • the measured value comparison module 344 is a configuration that compares the actual measured values of the maximum power value (P MAX ), the maximum voltage (V MAX ), the maximum current (I MAX ) and the reference value actually measured for a certain period of time. String 12 status diagnosis can be made.
  • the error rate calculation module 345 is configured to calculate the error between the reference value and the measured value, and the error rate of the measured value with respect to the reference value for the maximum power value (P MAX ), the maximum voltage (V MAX ), and the maximum current (I MAX ) to calculate
  • the error rate correlation analysis module 346 is a configuration that analyzes the correlation between the error rate and the string state, forms big data using data accumulated for a certain period of time, and analyzes the correlation between the error rate and the string abnormal state. Analyze the machine learning algorithm, etc.
  • the error rate correlation analysis module 346 is a solar module in each string 12 according to the range of the error rate for each of the maximum power value (P MAX ), the maximum voltage (V MAX ), and the maximum current (I MAX ) It is possible to analyze the correlation by dividing the normal state without the abnormality of (11) and the state in which deterioration or damage of a specific number of photovoltaic modules 11 occurs.
  • the abnormality detection module 347 is configured to detect the abnormal state of the string 12 according to the correlation between the error rate analyzed by the error rate correlation analysis module 346 and the abnormal state of the string 12, in units of a predetermined period.
  • the state of the string 12 is diagnosed according to the error rate between the measured maximum power value (P MAX ), the maximum voltage (V MAX ), the maximum current (I MAX ) and the reference value using the formed IV curve. Therefore, the abnormality detection module 347 can diagnose the state of the string 12 to predict the state of the string 12 in advance, and use this to specify the string 12 and then the deteriorated solar module 11 ) can also be found.
  • the result comparison module 348 is configured to compare the result diagnosed by the abnormality detection module 347 with the actual state, so that the actual state can be used for correlation analysis by the error rate correlation analysis module 346 do.
  • the correlation update module 349 corrects the correlation of the abnormal state according to the error rate so that the correlation analysis according to the comparison result by the result comparison module 348 matches the actual result, and through this, the accuracy of the state diagnosis to increase the
  • the solar power generation aging diagnosis system uses quantum efficiency of the solar module 11 to calculate the degree of deterioration.
  • a diagnostic unit 314 may be included.
  • the quantum efficiency diagnosis unit 314 is configured to calculate the degree of deterioration of the solar module 11 by using the quantum efficiency indicating the performance of the solar module 11, and a separate device is attached to measure the quantum efficiency. can make it happen
  • the quantum efficiency diagnosis unit 314 analyzes the correlation between the quantum efficiency and the output of the photovoltaic module 11, and uses this to calculate the aging degree of the photovoltaic module 11 according to the quantum efficiency. do.
  • the quantum efficiency diagnosis unit 314 includes a quantum efficiency storage module 314a, an output storage module 314b, a correlation function derivation module 314c, a quantum efficiency measurement module 314d, an output conversion module 314e, It may include a reference output calculation module 314f and a deterioration degree calculation module 314g.
  • the quantum efficiency storage module 314a is configured to measure and store the quantum efficiency of the solar module 11, and can measure the quantum efficiency through a separate device, and accumulate quantum efficiency values for a certain period of time. to save
  • the output storage module 314b is configured to store the output of the solar module 11 during the period in which the quantum efficiency is measured, and to accumulate and store output information according to the quantum efficiency.
  • the correlation function derivation module 314c is a configuration that analyzes the correlation between quantum efficiency and output, and can analyze the correlation by a machine learning algorithm using big data such as artificial neural networks and data inference. Other variables such as information can be reflected.
  • the quantum efficiency measuring module 314d is configured to measure the quantum efficiency of the photovoltaic module 11 at the present time, and the measured value is accumulated and stored for a certain period of time.
  • the output conversion module 314e is configured to convert the measured quantum efficiency value into an output, and inputs the quantum efficiency value according to the correlation derived by the correlation function derivation module 314c so that the output is calculated.
  • the reference output calculation module 314f is configured to calculate an output reference value converted by quantum efficiency for calculating the degree of degradation, and first, quantum for each solar module 11 belonging to the same string 12 for a certain period of time The rate of change for the output according to the efficiency is calculated, and the average value for the calculated rate of change between the photovoltaic modules 11 is calculated.
  • the deterioration degree calculation module 314g is configured to calculate the degree of aging of each solar module 11, and is based on the output calculated by the reference output calculation module 314f and the quantum efficiency of each solar module 11. The degree of aging is calculated according to the ratio of the converted output.

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Abstract

La présente invention concerne un système de diagnostic de la dégradation de la production photovoltaïque et, plus particulièrement, un système de diagnostic de la dégradation de la production photovoltaïque qui peut diagnostiquer avec précision le degré de dégradation d'un module photovoltaïque en calculant le degré de dégradation d'une chaîne dans laquelle se produit un écart de puissance, en fonction d'un taux de variation d'une valeur moyenne de tension de chaque module photovoltaïque et de la correction de la valeur moyenne de tension en tenant compte d'informations météorologiques.
PCT/KR2020/014665 2020-10-23 2020-10-26 Système de diagnostic de la dégradation de la production photovoltaïque WO2022085833A1 (fr)

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