WO2021066259A1 - Système et procédé d'analyse de données d'une centrale photovoltaïque - Google Patents

Système et procédé d'analyse de données d'une centrale photovoltaïque Download PDF

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WO2021066259A1
WO2021066259A1 PCT/KR2020/000444 KR2020000444W WO2021066259A1 WO 2021066259 A1 WO2021066259 A1 WO 2021066259A1 KR 2020000444 W KR2020000444 W KR 2020000444W WO 2021066259 A1 WO2021066259 A1 WO 2021066259A1
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power plant
power generation
solar
solar power
distribution graph
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PCT/KR2020/000444
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English (en)
Korean (ko)
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백경석
오재철
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주식회사 아이온커뮤니케이션즈
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Publication of WO2021066259A1 publication Critical patent/WO2021066259A1/fr

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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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64C—AEROPLANES; HELICOPTERS
    • B64C39/00—Aircraft not otherwise provided for
    • B64C39/02—Aircraft not otherwise provided for characterised by special use
    • B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
    • B64D47/00—Equipment not otherwise provided for
    • B64D47/08—Arrangements of cameras
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00—UAVs specially adapted for particular uses or applications
    • B64U2101/30—UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2201/00—UAVs characterised by their flight controls
    • B64U2201/20—Remote controls
    • 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
    • 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
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T50/00—Aeronautics or air transport
    • Y02T50/50—On board measures aiming to increase energy efficiency

Definitions

  • the present invention relates to a data analysis method and system of a solar power plant, and to a data analysis method and system of a solar power plant for detecting a decrease in output of the solar power plant and analyzing the cause of the decrease in output.
  • green energy sources including solar cells
  • the solar module is shaded by external environments such as clouds, shadows, and fallen leaves in a set of string-type solar modules connected in series, it causes an unstable state in which voltage and current change every moment, and the corresponding string type There is a problem of lowering the total power generation of the solar module.
  • solar power plants collect and monitor data generated by inverters through a solar monitoring system.
  • inverters there is a centralized type in which one or two inverters are installed according to the capacity of one solar power plant consisting of a plurality of solar module strings, and there is a string inverter type that is installed in units of solar module strings.
  • a solar power plant built with a string inverter method can compensate to some extent from the photovoltaic partial shading problem by utilizing the MPPT (Maximum Power Point Tracking) function provided by the inverter.
  • MPPT Maximum Power Point Tracking
  • the present invention was conceived to solve the problems of the prior art, and the data analysis method of a solar power plant according to an embodiment of the present invention is an inexpensive and simple method in a solar power plant equipped with a centralized inverter. And try to find out the cause of the power generation loss.
  • the data analysis method of a solar power plant according to an embodiment of the present invention is used to make a decision on applying a method that can minimize the amount of power generation loss according to the amount of power generation loss and the cause of the loss of the solar power plant. I would like to provide reference material.
  • a method of analyzing data of a solar power plant includes calculating a theoretical predicted power generation amount of the solar power plant, obtaining the measured power generation amount actually collected from the solar power plant, the predicted power generation amount and the measurement Determining whether or not power generation loss of the solar power plant has occurred according to a result of comparing the difference in power generation amount, and determining a cause of the loss based on the amount of power loss when it is determined that power generation loss of the solar power plant has occurred. I can.
  • the estimated power generation amount is calculated through a mathematical operation that reflects real-time meteorological data and calculates the power generation amount by a predetermined time unit of a solar panel unit. Panel properties can be reflected as variable values.
  • the determining of the power generation loss of the solar power plant includes determining that power generation of the solar power plant is lost when the difference between the estimated power generation amount and the measured power generation amount is greater than or equal to a preset first reference value. And extracting a first distribution graph indicating a difference value in which the difference between the estimated power generation amount and the measured power generation amount is equal to or greater than the first reference value in a predetermined time unit.
  • the step of determining the cause of the loss based on the amount of power loss comprises: when the amount of power loss is greater than or equal to a predetermined first reference value, a similarity to weather data of an adjacent time zone corresponding to the first distribution graph is preset.
  • periodically recording power generation information of the corresponding solar power plant if there is no past having a similarity with weather data of an adjacent time zone corresponding to the first distribution graph equal to or greater than the first similarity criterion, periodically recording power generation information of the corresponding solar power plant.
  • the step of periodically recording power generation information of a corresponding solar power plant may be further included.
  • the second distribution graph exists above the second reference value, determining that a physical defect has occurred in the solar power plant, and performing a detailed inspection related to the solar power plant. I can.
  • the step of determining whether or not shadowing of the solar power plant after the step of determining whether or not shadowing of the solar power plant has occurred, acquiring location information of the solar panel determined to have shadowed, an area adjacent to the solar panel corresponding to the location information Flying a flying object, obtaining an image by photographing the solar panel through at least one camera provided on the flying object, analyzing the acquired image, and analyzing the acquired image, based on the analyzed image It may further include the step of re-checking whether or not the light panel is shaded.
  • the data analysis system of a solar power plant compares the difference between a solar power plant that collects power produced from a plurality of solar panels, and the theoretical predicted power generation amount of the solar power plant and the actual measured power generation amount collected. It may include a central server that determines whether or not the solar power plant has power generation loss based on a result, and analyzes the cause of the loss based on the amount of power loss.
  • the central server calculates the theoretical predicted power generation amount through a mathematical operation that reflects real-time weather data and calculates the power generation amount for each predetermined time unit of the solar panel unit, but the mathematical operation is the solar panel The property of can be reflected as a variable value.
  • the central server when the difference between the estimated power generation amount and the measured power generation amount is greater than or equal to a preset first reference value, determines that power generation of the solar power plant has been lost, and the estimated power generation amount and the estimated power generation amount in a predetermined time unit.
  • a first distribution graph indicating a difference value in which the difference in the measured power generation amount is equal to or greater than the first reference value may be extracted.
  • the central server when the amount of power loss is greater than or equal to the first reference value, whether or not there exists a past that has a similarity of weather data of an adjacent time zone corresponding to the first distribution graph equal to or greater than a preset first similarity criterion.
  • the central server may determine the cause of the loss of the amount of power loss of the solar power plant as white noise.
  • the central server when there is no past in which the similarity to weather data of an adjacent time zone corresponding to the first distribution graph is equal to or greater than the first similarity criterion does not exist, the power generation information of the corresponding solar power plant is periodically Can be recorded.
  • the central server may periodically record power generation information of a corresponding solar power plant when the second distribution graph having the similarity greater than or equal to the second similarity criterion does not exist.
  • the second distribution graph exists above the second reference value, it is determined that a physical defect has occurred in the solar power plant, and a detailed inspection related to the solar power plant may be performed.
  • the central server acquires location information of the solar power plant determined to have some shades, and makes the flying object fly to an area adjacent to the solar power plant corresponding to the location information, and the flying object
  • the photovoltaic panels included in the photovoltaic power plant are photographed through at least one camera provided in the photovoltaic power plant to acquire an image, the acquired image is analyzed, and whether or not the corresponding photovoltaic panel is shaded is determined again based on the analyzed image. I can confirm.
  • a computer-readable recording medium or a computer program stored in a recording medium is a computer-readable recording medium or recording medium in which a program for performing the data analysis method of a solar power plant described above is recorded. It characterized in that it is a computer program stored in.
  • the inverter is replaced with a string inverter by recognizing the power generation loss based on the power generation data for a solar power plant in which a centralized inverter is installed. It is cheaper and simpler to monitor solar power plants.
  • the data analysis method of a solar power plant according to an embodiment of the present invention, it is used to make a decision on applying a method that can minimize the amount of power generation loss depending on the amount of power generation loss and the cause of the loss of the solar power plant. You can provide reference materials.
  • FIG. 1 is a diagram showing a schematic configuration of a data analysis system of a solar power plant according to an embodiment of the present invention.
  • FIG. 2 is a photograph showing an example in which some shades have occurred in a solar power plant due to surrounding environment.
  • FIG. 3 is a flowchart schematically illustrating a data analysis method of a solar power plant according to an embodiment of the present invention.
  • FIG. 4 is a flow chart for explaining in more detail a data analysis method of a solar power plant according to an embodiment of the present invention.
  • FIG. 5 is a flowchart illustrating a method of analyzing solar power plant data after periodically recording power generation information of a solar panel according to an embodiment of the present invention.
  • FIG. 6 is a diagram showing an example in which a flying object is applied to the configuration of a data analysis system of a solar power plant according to the present invention.
  • FIG. 7 is a photovoltaic panel and is a diagram showing unit panels constituting the photovoltaic panel.
  • FIG. 8 is a block diagram schematically showing the configuration of a central server according to an embodiment of the present invention.
  • FIG. 1 is a diagram showing a schematic configuration of a data analysis system of a solar power plant according to an embodiment of the present invention
  • FIG. 2 is a photograph showing an example in which some shades are generated in a solar power plant due to surrounding environment. .
  • the data analysis system 10 of a solar power plant may include a central server 100 and a solar power plant 300.
  • the data analysis system 10 of a solar power plant detects when and for how long some shadows have occurred through time-series data analysis for a solar power plant equipped with a centralized inverter. And, by calculating the power loss estimate and the loss amount, we want to help you make decisions about applying a method that can minimize the power loss.
  • the solar power plant 300 may be composed of a plurality of solar panels M1 to M3, and the solar panels M1 to M3 collect sunlight incident from the outside to It can produce electricity.
  • the solar power plant 300 is a general configuration known to a person skilled in the art, and a detailed description thereof will be omitted.
  • the central server 100 is connected to the photovoltaic power plant 300 through a wired or wireless network, receives power generation amount from the photovoltaic power plant 300, determines whether it is operating normally, and manages the operating state of the photovoltaic power plant. .
  • the central server 100 determines whether or not there is a loss of power generation of the photovoltaic power plant 300 based on the result of comparing the difference between the theoretical estimated power generation amount of the solar power plant 300 and the actual collected measured power generation amount, and Based on this, the cause of the loss can be analyzed.
  • the central server 100 may provide reference material used for making a decision on applying a method that can minimize the amount of power loss according to the amount of power generation loss of the solar power plant 300 and the cause of the loss. .
  • FIG. 3 is a flowchart schematically illustrating a data analysis method of a solar power plant according to an embodiment of the present invention.
  • a theoretical predicted power generation amount of the solar power plant may be calculated (S410).
  • the central server may calculate the expected power generation amount through a mathematical operation that reflects real-time weather data and calculates the power generation amount for each predetermined time unit of the solar panel unit.
  • the mathematical operation may reflect the property of the solar panel as a variable value.
  • the mathematical calculation for calculating the expected power generation amount of a solar power plant is based on at least one of the number of panels of the power plant, the power reduction rate according to the life of the panel, the power reduction rate according to the panel surface temperature, and the maximum amount of power generation information. Can be calculated.
  • the mathematical calculation for calculating the expected power generation amount of the solar power plant may calculate the output reduction rate according to the panel surface temperature by reflecting weather data including the current amount of insolation, temperature, humidity, and wind speed in real time.
  • the meteorological data may be stored in a certain time unit, for example, in a few minutes, and the estimated power generation amount in minutes may be calculated.
  • the power generation amount is measured in units of solar panels constituting a solar power plant, and the total amount of power generation measured for each solar panel unit may be summed to calculate the total amount of power generation of the solar power plant.
  • the expected power generation amount may be calculated for each solar panel in units of solar panels.
  • the measured power generation amount actually collected from the solar power plant (S420).
  • the measured power generation amount may be obtained in units of a solar power plant, or the measured power generation amount may be obtained for each solar panel.
  • the central server may compare the difference between the estimated power generation amount calculated in step S410 and the measured power generation amount obtained in step S420 to determine whether or not the solar power plant loses power according to whether the difference value is equal to or greater than a preset reference value.
  • the difference between the estimated power generation amount and the measured power generation amount when the difference between the estimated power generation amount and the measured power generation amount is greater than or equal to a preset first reference value, it may be determined that power generation has been lost, whereas, if it is less than the first reference value, it may be determined as white noise.
  • the cause of the loss may be determined based on the amount of power loss (S440). In one embodiment, it is determined whether some shading has occurred in the solar power plant or whether a physical problem has occurred in the solar power plant according to whether the amount of power loss is greater than or equal to a preset reference value, the frequency at which the amount of power loss occurs, and whether the loss continues to occur. can do. If it is determined that a physical problem has occurred in the solar power plant, a detailed inspection can be performed to uncover specific problems such as panel failure, junction box failure, electrical wiring problem, and inverter failure.
  • FIG. 4 is a flow chart for explaining in more detail a data analysis method of a solar power plant according to an embodiment of the present invention.
  • an estimated amount of power generation and a measured amount of power generation may be compared (S510).
  • the estimated power generation amount calculated in minutes for a certain time period for a solar power plant may be summed, and the sum of the measured power generation amount for the same time period may be compared.
  • a first distribution graph indicating a difference value between the expected generation amount and the measured generation amount may be extracted (S540).
  • the difference between the estimated power generation amount and the measured power generation amount is greater than or equal to a preset first reference value, it may be determined that power generation of the solar power plant is lost. On the other hand, if it is less than the first reference value, it may be determined that the difference value is due to white noise (S530).
  • the first distribution graph may be extracted by a predetermined time unit, and the predetermined time unit may be a minute unit.
  • the meteorological data and the panel surface temperature are continuously recorded in the predetermined time unit, and can be applied in real time to calculate the expected power generation amount.
  • the first distribution graph may be stored in the database along with information such as year, date, time, and weather data.
  • the adjacent time zone may include the same time zone corresponding to the first distribution graph (eg, the same time zone a week ago), and may include a time interval corresponding to within a predetermined interval before and after the same time zone.
  • the meteorological data may be data representing weather conditions, including climate, weather, insolation, temperature, humidity, and wind speed, in numerical values, graphs, and the like.
  • the first similarity criterion is set to a predetermined similarity range based on a numerical value for each meteorological data expressed as a numerical value, or a degree of similarity in the form, flow, and numerical value of the graph for the meteorological data expressed as a graph. It can be set as a similarity range.
  • the first similarity criterion may be a criterion for determining whether each of the climate, weather, insolation, temperature, humidity, and wind speed falls within a predetermined similarity range.
  • the first similarity criterion may be a criterion for determining whether at least what percentage of climate, weather, insolation, temperature, humidity, and wind speed each fall within a predetermined similarity range.
  • the first similarity criterion should be at least, that is, if the past case is more than the preset reference number, it is assumed that there are similar past cases. It can be set to judge.
  • the second distribution graph may be a graph generated by the same method as the first distribution graph when the first distribution graph is generated when the season, month, day, time, etc. are the same or adjacent to each other. That is, the second distribution graph is information that was created in the past and stored in the database in the same way as the method of creating and storing the first distribution graph, but the season, weather, insolation, temperature, humidity, and wind speed at which the first distribution graph was generated. It may be a graph of meteorological data generated at a time when the weather data and the like are similar in time.
  • the second distribution graphs are extracted for each of the 10 cases, and the similarity to the first distribution graph is a second similarity among the second distribution graphs.
  • Graphs that are more than the standard can be extracted.
  • the second similarity criterion is a reference value for determining the similarity between the first distribution graph and the second distribution graph.
  • the second similarity criterion is based on the first distribution graph and falls within a similarity range of at least 80% or more. It may be a criterion for extracting the second distribution graph.
  • the similarity comparison of the distribution graph can be performed by applying an algorithm that compares the patterns of the distribution graph.
  • power generation information of the corresponding solar power plant may be periodically recorded (S560).
  • the second distribution graph having a similarity greater than or equal to the second similarity criterion it may be determined whether or not the second distribution graph is greater than or equal to a preset second reference value (S580).
  • the similarity to the weather data of an adjacent time zone corresponding to the first distribution graph is equal to or higher than a preset first similarity criterion
  • the past second has similarity to the first distribution graph equal to or higher than the second similarity criterion.
  • the second reference value is set to at least 5 or more, it may be determined that the second distribution graph exists above the second reference value in step S580.
  • the second reference value may be an absolute value preset with respect to the number of second distribution graphs whose similarity is greater than or equal to the second similarity reference based on the first distribution graph.
  • the second reference value may be set as a ratio occupied by the second distribution graph whose similarity is greater than or equal to the second similarity criterion with respect to the total number of the second distribution graphs.
  • the second distribution graph exists above the second reference value, that is, when it is determined that the second distribution graph has been continuously occurring to some extent from the past, solar power is not generated by a change in weather or season. It can be determined that power generation losses are continuously occurring due to physical failure of the power plant. Accordingly, a detailed inspection for detecting physical defects of the solar power plant may be performed (S590).
  • the second distribution graph exists below the second reference value, that is, when the second distribution graph intermittently exists, it may be determined that some shades have occurred in the solar power plant (S600).
  • the power generation loss of the solar power plant occurred intermittently (less than the second reference value) at the same time or similar time period from the past, and the past and present weather data
  • the power generation loss of the current solar power plant It can be judged to be caused by some shades caused by this season or weather.
  • a site where some shadows are generated in real time or within a short time from the time when it is determined that some shadows have occurred in the solar power plant or The environment that caused some shades can be acquired as an image.
  • location information of the solar panel determined to have shadowed may be obtained.
  • location information of the solar panel determined to have shadowed since it is possible to determine whether or not power generation loss occurs even in units of solar panels constituting a solar power plant, it is possible to identify location information of a solar panel in which power generation loss has occurred.
  • a flying object having at least one camera mounted thereon may be made to fly to an area adjacent to the solar panel corresponding to the location information obtained by this method.
  • an image may be obtained by photographing a solar panel corresponding to the location information and the surrounding environment through a camera provided on the flying object.
  • the camera may be at least one of an infrared camera, a visible ray camera, and an EL camera.
  • FIG. 6 shows an example in which the flying object 200 is applied to the configuration of the data analysis system 10 of a solar power plant of the present invention
  • FIG. 7 is a solar panel M, showing a solar panel M It shows the unit panels 310 constituting.
  • FIG. 5 is a flowchart illustrating a method of analyzing solar power plant data after periodically recording power generation information of a solar panel according to an embodiment of the present invention. That is, FIG. 5 is a flowchart illustrating a method of analyzing solar power plant data after step S560 of FIG. 4.
  • a first distribution graph and a third distribution graph at a future point in time may be compared (S561).
  • the third distribution graph is the same method as the method of generating the first distribution graph, and may be generated based on a difference value between the estimated generation amount and the measured generation amount for the solar power plant.
  • the third distribution graph may be extracted in a certain time unit, and the certain time unit may be in a minute unit, but is not limited thereto.
  • Meteorological data and panel surface temperature are continuously recorded in a certain time unit and can be applied to calculate the expected power generation, and the third distribution graph can be stored in a database along with information such as year, date, time, and meteorological data. have.
  • the adjacent time zone includes the same time zone corresponding to the first distribution graph, and may include a time interval corresponding to within a predetermined interval before and after the same time zone.
  • the meteorological data may be data that expresses weather conditions in numerical form, graphs, etc., including solar radiation, temperature, humidity, and wind speed.
  • the number of cases in the future (based on the first distribution graph) in which the similarity to the data in the adjacent time zone corresponding to the first distribution graph is equal to or higher than the first similarity criterion should be at least.
  • a case that is more than the set reference number can be set as determining that a similar case exists.
  • the first distribution graph and the third distribution graph at a future point in which the similarity is equal to or greater than the second similarity criterion It can be determined whether or not (S562). If the first distribution graph and the third distribution graph at a future point in which the similarity is greater than or equal to the preset second similarity criterion do not exist, it is determined that it is not clear whether it is a partial shade or a physical defect, and the power generation information of the solar power plant is continuously displayed. It can be traced (S563).
  • the third distribution graph exists above the third reference value, that is, when it is determined that the third distribution graph is continuously occurring to some extent in the future based on the creation time of the first distribution graph, weather, season, etc. It can be judged that power generation loss is continuously occurring not due to a change in power generation but by a physical defect of the solar power plant. Accordingly, a detailed inspection for detecting a physical defect of the solar power plant may be performed (S565).
  • the third distribution graph exists below the third reference value, that is, when the third distribution graph intermittently exists, it may be determined that some shades have occurred in the solar power plant (S566).
  • the power generation loss of the solar power plant at the time corresponding to the first distribution graph is caused by some shades caused by the season or weather.
  • the central server 100 may include an output reduction section detection unit 110, a shadow generation determination unit 120, and a loss information statistics unit 130. .
  • the output reduction section detection unit 110 calculates the theoretical expected power generation amount of the solar power plant, obtains the measured power generation amount actually collected from the solar power plant, and compares the difference between the estimated power generation amount and the measured power generation amount of the solar power plant. It is possible to determine whether or not there is a loss of power generation. At this time, since the power generation data and the meteorological data are operated in the same time unit, the power generation data and the meteorological data can have characteristics of time-series data, so whether the solar power plant is lost can be detected in units of time-series power generation loss intervals. .
  • the shade generation determination unit 120 may determine the cause of the loss based on at least one of the calculated loss generation amount, the past time point and the future time point in which the meteorological data are similar, and frequency information at which the power loss occurs. For a method of determining the cause of the power generation loss of the solar power plant, reference will be made to the description described with reference to FIGS. 3 to 5 above.
  • the loss information statistics unit 130 may calculate and store a cost conversion of the frequency of occurrence of some shades, the amount of power loss, and the amount of power loss, respectively.
  • statistics may be calculated for each solar power plant in units of a certain period of time, for example, year/month/week/day, for the cost conversion information of the frequency of occurrence of some shades, the amount of power loss, and the amount of power loss. The information thus calculated may be provided to the solar power plant manager and the solar power plant owner's terminal.
  • the data analysis method of the solar power plant as described above can be executed by a computer program stored in a recording medium.
  • the present invention can also be implemented as a computer-readable code on a computer-readable recording medium.
  • Computer-readable recording media include all storage media such as magnetic storage media and optical reading media.
  • the exemplary structures according to the present invention include program instructions executed by a processor, a software module, a microcode, a computer program product recorded on a recording medium that can be read by a computer (including all devices having an information processing function), It can be implemented in a variety of ways, such as logic circuits, application specific semiconductors, or firmware. Examples of the computer-readable recording medium include ROM, RAM, CD, DVD, magnetic tape, hard disk, floppy disk, hard disk, and optical data storage device. Further, the computer-readable recording medium is distributed over a computer system connected through a network, so that computer-readable codes can be stored and executed in a distributed manner.
  • various embodiments may be embodied or encoded on a computer-readable medium containing instructions. Instructions embodied or encoded on a computer-readable medium may cause a programmable processor or other processor to perform a method, eg, when the instructions are executed.
  • Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • the storage medium may be any available medium that can be accessed by a computer.
  • such computer-readable media may be RAM, ROM, EEPROM, CD-ROM, or other optical disk storage medium, magnetic disk storage medium or other magnetic storage device, or instructions accessible by a computer with the desired program code or It may include any other medium that can be used to carry or store in the form of data structures.
  • Such hardware, software, firmware, and the like may be implemented within the same device or within separate devices to support the various operations and functions described herein. Additionally, components, units, modules, components, and the like described as "units" in the present invention may be implemented together or separately as interoperable logic devices. The description of different features for modules, units, etc. is intended to highlight different functional embodiments, and does not necessarily imply that they must be realized by separate hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components or may be integrated within common or separate hardware or software components.

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Abstract

Dans un mode de réalisation, la présente invention concerne un procédé d'analyse de données d'une centrale photovoltaïque, le procédé comprenant les étapes consistant à: calculer une quantité de génération d'énergie estimée théorique d'une centrale photovoltaïque; obtenir une quantité de génération d'énergie mesurée réellement collectée depuis la centrale photovoltaïque; déterminer si une perte de génération d'énergie de la centrale photovoltaïque se produit, en fonction d'un résultat de la comparaison de la quantité de génération d'énergie estimée et de la quantité de génération d'énergie mesurée; et déterminer une cause de la perte sur la base d'une quantité de génération d'énergie perdue lorsqu'il est déterminé que la perte de génération d'énergie de la centrale photovoltaïque s'est produite.
PCT/KR2020/000444 2019-10-02 2020-01-10 Système et procédé d'analyse de données d'une centrale photovoltaïque WO2021066259A1 (fr)

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