KR102337580B1 - Photovoltaic system - Google Patents

Abstract

Renovate the solar power generation system. A photovoltaic power generation system according to an embodiment of the present invention generates a plurality of photovoltaic modules that generate power using a solar cell, failure history data of each photovoltaic module, and uses the failure history data for each of the plurality of photovoltaic modules A cloud server that calculates life expectancy information, and a gateway processor that limits the amount of power generated by each of the plurality of photovoltaic modules by using the life prediction information when receiving a power generation limit signal from the outside to limit power generation of a plurality of photovoltaic modules Including, it is possible to achieve the effect of adjusting the load balance of the photovoltaic module, and improving the management efficiency of the photovoltaic system.

Description

Solar power generation system {PHOTOVOLTAIC SYSTEM}

The present invention calculates the predicted lifespan of each solar module of a large-scale solar power plant from time to time to the accessory devices, and then uses the life prediction information to generate limited power generation for each solar module in the order of the shortest predicted lifespan. The present invention relates to a photovoltaic power generation system capable of adjusting the load balance of a photovoltaic module by limiting the amount of power generated by the photovoltaic module.

In general, photovoltaic power generation is for generating electricity by converting sunlight into electric energy, and a power generation system that produces electricity on a large scale using a photovoltaic panel in which a plurality of solar cells are PV-arrayed. to be.

Such a photovoltaic system includes a photovoltaic module in which solar cells that generate direct current by receiving sunlight are arrayed, a connection module connected to collect direct current generated in each photovoltaic module for each unit string, and each It consists of a configuration including a power conversion device (PCS: Power Conditioning System) that converts the entire DC electricity collected in the connection module into AC electricity.

A plurality of solar modules in which solar cells are arrayed are connected to the connection module in a series/parallel structure, and DC electricity is integrated and transmitted to the connection module for each unit string. Since such a plurality of solar modules are disposed and maintained for a long time in a state exposed to the external environment, they are greatly affected by environmental changes. Therefore, in order to maintain the efficiency of solar modules deployed in large quantities, failure diagnosis, prediction, and maintenance must be thorough.

Conventionally, in order to detect a failure of a photovoltaic module, a failure detection device that detects vibration, shock, temperature, power parameters, etc. in real time is configured in each photovoltaic module, and the failure of the photovoltaic module is detected using real-time detected signals. also judged.

However, in the case of a conventional photovoltaic system capable of detecting a failure, the operation is controlled without considering the life of the device, merely determining whether there is a failure. Accordingly, in the related art, when a control signal from a power generation limiting server is generated, a control method of turning off each solar panel is performed without considering the lifespan. In this case, since the lifespan of the devices in the site is not taken into account, it results in faster device replacement, and due to the nature of the site that mostly uses the same device, it also replaces the devices that have no abnormality in their lifespan, thereby reducing the burden on the operation of the site. bring problems

The present invention is to solve the above problems, and after frequently calculating the predicted lifespan for each solar module of a large-scale solar power plant, up to the accessory devices, and then receiving a power generation restriction signal from the outside to limit the solar modules To provide a photovoltaic power generation system capable of adjusting the load balance of a photovoltaic module by limiting the generated power output of each photovoltaic module in the order of the shortest predicted lifespan by using the lifespan prediction information when generating power.

A photovoltaic power generation system according to an embodiment of the present invention for achieving the above object is a plurality of photovoltaic modules that generate power using a solar cell, and generates failure history data of each photovoltaic module and collects the failure history data. A cloud server that calculates life expectancy information for each photovoltaic module using the It includes a gateway processor that limits the generation power output.

The photovoltaic power generation system having the above various technical features limits the photovoltaic modules by receiving a power generation restriction signal from the outside after frequently calculating the predicted lifespan for each photovoltaic module of a large-scale photovoltaic power plant and up to the accessory devices. When generating power, using the life prediction information, it is possible to limit the amount of power generated by each solar module in the order of the shortest predicted lifespan. Accordingly, it is possible to adjust the load balance of the photovoltaic module and improve the management efficiency of the photovoltaic power generation system.

1 is a block diagram showing a solar power generation system according to an embodiment of the present invention.
FIG. 2 is a configuration diagram specifically illustrating the cloud server shown in FIG. 1 .
FIG. 3 is a configuration diagram specifically illustrating the failure history data generation unit shown in FIG. 2 .
FIG. 4 is a configuration diagram specifically illustrating the gateway processor shown in FIG. 2 .

The above-described objects, features and advantages will be described below in detail with reference to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains will be able to easily implement the technical idea of the present invention. In describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing a solar power generation system according to an embodiment of the present invention.

The photovoltaic power generation system shown in FIG. 1 senses a voltage value, a current value or a power value of each of a plurality of photovoltaic modules 100 and photovoltaic modules 100 that generate power using a solar cell, and the sensed A plurality of failure diagnosis units 250 that determine a failure by comparing a voltage value, a current value, or a power value with a preset reference value, generate failure history data for each of the solar modules 100 and use the failure history data to generate a plurality of failure history data The cloud server 400 that calculates life prediction information for each photovoltaic module 100, and when receiving a power generation restriction signal from the outside to limit power generation of a plurality of photovoltaic modules, a plurality of photovoltaic modules using the life prediction information and a gateway processor 600 limiting each generated power output.

When a failure occurs, the cloud server 400 quickly determines the cause of the failure and the failure site based on failure history data, life information for each product, and failure pattern information, and notifies the administrator of the failure information using a monitor or message. In addition, based on failure cause information including failure recovery history by manufacturer and product model, failure recovery items, life information for each product, and failure pattern information, predict whether a failure occurs for each photovoltaic module 100 and predict The fault occurrence information is transmitted to the manager.

1, the plurality of solar modules 100 is configured such that a plurality of solar cells are arranged in a rectangular or curved frame, and each solar module 100 generates power using solar cells. create In this case, a DC or AC voltage may be generated and a current may be generated through each of the solar cells. Here, the generated DC or AC voltage and current are collectively transmitted to the at least one inverting device 300 as generated power.

A plurality of photovoltaic modules 100 may be arranged to be connected in series with each other. Accordingly, although only a series structure is shown in FIG. 1 , a plurality of photovoltaic modules 100 may be arranged to be connected in parallel, and may be variously arranged in a structure in which series and parallel are combined. not limited

In FIG. 1 , the failure diagnosis unit 250 shows a configuration corresponding to each of the solar modules 100 one-to-one, but the failure diagnosis unit 250 is separately configured in a single number regardless of the number of the solar modules 100 . It is also possible to detect whether the optical module 100 has failed.

The failure diagnosis unit 250 compares the voltage value, the current value, or the power value respectively generated by the photovoltaic module 100 with a preset reference value. Then, it is determined whether there is a failure according to the comparison result, and a failure determination signal indicating normal or failure is transmitted to the gateway processor 600 . Accordingly, the failure determination signal may be transmitted to the cloud server 400 .

In particular, the failure diagnosis unit 250 compares the sensed voltage value, current value, or power value of the solar module 100 with a preset reference value, and if the voltage value, current value, or power value is higher than the preset reference value, A failure determination signal varying in an up level is transmitted to the gateway processor 600 . On the other hand, when the voltage value, the current value, or the power value is lower than a preset reference value, each of the failure diagnosis units 250 outputs a failure determination signal varying to a down level. Accordingly, when the failure determination signal varying to the down level is output, the cloud server 400 may determine the failure.

When a failure is determined for each solar module 100 , the cloud server 400 stores the failure cause and failure recovery items according to the input and control of the administrator when repairing the failure. And when the failure of the photovoltaic module 100 is additionally determined afterward, all of the failure history data including the failure cause failure recovery history and failure pattern, failure recovery history information by manufacturer and product model, and lifespan information Analyze and determine the cause of the failure of the solar module 100 in which the failure occurs by using it.

As described above, the cloud server 400 refers to and takes into account failure history data including failure recovery history information for each manufacturer and product model for each solar module 100, and lifespan information, and each solar module ( 100) of the failure cause and failure prediction information can be accurately determined. Accordingly, the cloud server 400 calculates life prediction information for each photovoltaic module 100 by referring to the failure history data for each photovoltaic module 100 .

In addition, the cloud server 400 may calculate life expectancy information for each of the plurality of solar modules in a preset period unit by using the amount of power generated by the plurality of solar modules 100, heat generation temperature, and environmental information from the outside. .

When the gateway processor 600 receives a power generation restriction signal from a power generation restriction server or an external power generation restriction organization to limit power generation of a plurality of solar modules 100, by selectively using at least any one of the calculated life prediction information Limits the amount of power generated by each of the plurality of solar modules.

Here, in the case of limiting power generation of a plurality of photovoltaic modules 100, select and stop power generation of at least one photovoltaic module among the plurality of photovoltaic modules 100 according to a power generation limit signal, or The power output is adjusted to decrease. A method of controlling the power output amount of each solar module will be described later in more detail with reference to the accompanying drawings.

The cloud server 400 calculates the predicted lifespan for each of the plurality of solar modules 100 from time to time or in a preset period unit using the amount of power generated by each solar module 100, heat generation temperature, and environmental information from the outside. It is possible to generate life prediction information by calculation. And the generated life prediction information is shared with the gateway processor 600 .

Specifically, the cloud server 400 senses the amount of power generated for each solar module 100 to generate and store information on the amount of power generated for each solar module 100 . And, by using external environmental information, weather data on temperature, humidity, wind volume, temperature, and sunlight brightness are generated. In this case, the cloud server 400 may sense the temperature change of the accessory devices included in each of the plurality of solar modules, and may generate temperature data for each accessory device of each solar module 100 .

The cloud server 400 stores information on the amount of electricity generated by each solar module 100, manufacturing date and life information of accessory devices included in each of the plurality of solar modules 100, weather data, and temperature data in the cloud DB. . And each photovoltaic module 100 using at least one of information or data of power generation information, manufacturing date and life information of accessory devices included in each of the plurality of photovoltaic modules 100, weather data, and temperature data. Predict the lifespan of the solar module 100 and generate life expectancy information. In this case, life prediction information for the accessory devices included in each of the plurality of photovoltaic modules 100 may be separately generated.

The cloud server 400 uses only the manufacturing date versus life information (average life information) of the accessory devices included in each of the plurality of photovoltaic modules 100. It is possible to predict the remaining period of use, etc. Similarly, the remaining lifespan of each solar module 100 may also be predicted by predicting the remaining usage period for each accessory device of the solar module 100 .

In addition, in order to add accuracy to the life prediction information, the cloud server 400 stores power generation information, weather data, and temperature data for each solar module for a preset period (eg, 1 month period), and as a result of the comparison, it is possible to predict the remaining usage period according to the degree of decrease in the amount of generated electricity in the same temperature or climate. At the same temperature or climate, the solar module 100 with a large decrease in the amount of generated electric power compared to the average value or the accessory devices included in each of the solar modules 100 may have a smaller remaining lifespan.

When the lifetime information is predicted for each solar module 100 and accessory devices in the cloud server 400, the order of the solar modules 100 with the few remaining lifetimes among the plurality of solar modules 100 during the power-limited generation period to limit the amount of power generation.

In general, when there is a problem in the power system and power needs to be cut off, or when the power consumption is predicted to be below the reference value, an external power generation limiting server or a power generation control organization sends a power generation restriction signal to the control server or gateway processor 600 of each power plant send, etc. Accordingly, the gateway processor 600 or the control server of each power plant limits the amount of power generated in response to the power generation limit signal.

When limiting the amount of power generated by each photovoltaic module 100 by the power generation limiting signal in this way, the gateway processor 600 of the present invention uses the life expectancy information calculated from time to time in the cloud server 400, Among the modules 100 , the power generation operation is stopped in the order of the photovoltaic modules 100 with a short lifespan, or the amount of generated power output for each photovoltaic module 100 is adjusted to be lowered.

To this end, the gateway processor 600 generates a first power generation control signal corresponding to each of the plurality of photovoltaic modules so that the shorter the predicted lifespan is, the first the solar modules are stopped according to the lifespan prediction information in the cloud server 400 . Alternatively, a second power generation control signal corresponding to each of the plurality of photovoltaic modules is generated so that the shorter the predicted lifespan is, the smaller the generated power output is.

In order to control the amount of power output of the photovoltaic module, the photovoltaic power generation system of the present invention is based on a first power generation control signal received from the gateway processor 600 of at least one photovoltaic module among the plurality of photovoltaic modules 100 . By blocking the generated power output, the plurality of solar modules according to the second power generation control signal from the at least one selection output unit 200 and the gateway processor 600 to stop the operation of the solar module whose power output is blocked At least one inverting device 300 is included to control the amount of generated power output for each ( 100 ) so that the operation time is controlled for each of the plurality of photovoltaic modules ( 100 ). In addition, it may further include an external sensor unit 500 that senses at least one of environmental information among temperature, humidity, air volume, temperature, and sunlight brightness information and transmits it to the gateway processor 600 or the cloud server 400 .

The at least one selection output unit 200 receives the generated power from the plurality of photovoltaic modules 100 electrically connected thereto, and then controls the first power generation by controlling the power generated from each photovoltaic module 100 . A switching device capable of selectively transmitting or blocking the inverting device 300 according to a signal is included. Accordingly, the at least one selection output unit 200 blocks the power output from the solar module 100 of the shortest predicted lifespan according to the first power generation control signal received from the gateway processor 600 during the power-limited power generation period. By doing so, the operation is stopped from the solar module 100 in the order of the short predicted lifespan. Since the selection output unit 200 performs only an on/off role of stopping the operation of each solar module 100, it is difficult to numerically control the amount of generated power output.

On the other hand, the at least one inverting device 300 receives the power generated from the plurality of photovoltaic modules 100 electrically connected thereto, and then transmits the generated power generated from each photovoltaic module 100 to the second It includes an output amount adjusting device capable of numerically limiting the output amount according to the power generation control signal and transmitting or blocking the output amount to the inverting device 300 . Accordingly, the at least one inverting device 300 generates a large amount of power output from the solar module 100 of the short predicted lifespan according to the second power generation control signal received from the gateway processor 600 during the power-limited power generation period. By adjusting the width, the operation is stopped from the photovoltaic module 100 of the short order of the predicted life, or the output is adjusted to be lowered significantly. Accordingly, the at least one inverting device 300 may accurately adjust the amount of generated power output in a numerical ratio, and may suggest an operation of each photovoltaic module 100 corresponding thereto.

On the other hand, at least one inverting device 300 collects the generated power received from each solar module 100, specifically, the generated voltage or current, and inverts it into a DC/AC voltage, and inverts the inverted DC/AC voltage. AC voltage is also supplied as grid power. To this end, specifically, the at least one inverting device 300 converts the voltage and current produced from each photovoltaic module 100 into direct current or alternating current and transmits the converted voltage and current to the system, the primary side and the secondary side IGBT (Insulated Gate Bipolar Transistor, Insulated Gate Bipolar Transistor (IGBT) bipolar transistor) and a link capacitor for smoothing the input DC power.

FIG. 2 is a configuration diagram specifically illustrating the cloud server shown in FIG. 1 .

The cloud server 400 of FIG. 2 includes an electric energy calculation unit 410 , a weather data generation unit 420 , a temperature data generation unit 430 , a cloud DB 450 , a failure history data generation unit 470 , and a life expectancy prediction unit. (440).

Specifically, the amount of power calculation unit 410 senses the amount of power generated by each of the plurality of solar modules 100 . The amount of generated power sensed by the power calculation unit 410 is used when comparing the generated power information for each photovoltaic module, weather data, and temperature data in order to add accuracy to the life prediction information. This is because, in the same temperature or climate, the solar module 100 with a greater decrease in the amount of generated power compared to the average value or the accessory devices included in each of the solar modules 100 may have a smaller remaining lifespan.

The meteorological data generator 420 generates weather data for temperature, humidity, wind volume, temperature, and sunlight brightness by using external environmental information. The generated meteorological data is used when evaluating the remaining life of the solar module 100 or accessory devices included in each of the solar modules 100 together with the generated wattage information.

The temperature data generation unit 430 senses a change in temperature of the accessory devices included in each of the plurality of photovoltaic modules 100 to generate temperature data for each accessory device of each photovoltaic module 100 . Here, temperature data for each accessory device of each solar module 100 is used when evaluating the remaining life of the accessory devices.

The cloud DB 450 stores all the amount of power generated by a plurality of solar modules, manufacture date and life information of accessory devices included in each of the plurality of solar modules, weather data, and temperature data, and shares it with the life prediction unit 440 . do.

Failure history data generation unit 470 is failure history data including failure cause information for each photovoltaic module 100, failure recovery items, failure recovery history by manufacturer and product model, lifespan information by product, and failure pattern information It is possible to determine the cause of the failure of the photovoltaic module 100 in which the failure occurred by using . The failure history data generation unit 470 shares the failure history data with the cloud DB 450 and the life prediction unit 440 .

The life prediction unit 440 uses the manufacturing date and life information of the accessory devices included in each of the plurality of solar modules, the amount of power generated by each of the plurality of solar modules, weather data, and temperature data for a plurality of solar modules or a plurality of solar modules. After calculating the predicted lifespan for each accessory included in each solar module, life expectancy information is generated.

The life prediction unit 440 is used only for the manufacturing date versus the manufacturing date (average life information) of the accessory devices included in each of the plurality of solar modules 100. It is possible to predict the remaining usage period. Similarly, the remaining lifespan of each solar module 100 may also be predicted by predicting the remaining usage period for each accessory device of the solar module 100 . In addition, the life prediction unit 440 compares the power generation information for each solar module, the weather data, and the temperature data for each preset period in order to add accuracy to the life prediction information, and as a result of the comparison, the same temperature or climate Depending on the degree to which the amount of generated power is reduced, the remaining usage period can be predicted.

In addition, the life prediction unit 440 includes failure cause information for each photovoltaic module 100, failure recovery items, failure recovery history by manufacturer and product model, lifetime information for each product, and failure pattern information according to the administrator's selection. Using the failure history data to calculate the predicted life for each photovoltaic module 100 or for each accessory included in each photovoltaic module, life prediction information is also generated.

FIG. 3 is a configuration diagram specifically illustrating the failure history data generation unit illustrated in FIG. 2 .

The failure history data generation unit 470 shown in FIG. 3 is configured to include a failure location determination unit 471 , a failure site determination unit 472 , a failure pattern analysis unit 473 , and a failure time prediction unit 474 . can be

Specifically, the failure location determination unit 471 determines the location, manufacturer, product model, etc. of any one solar module 100 in which a failure has occurred according to the failure determination signal inputted from each failure diagnosis unit 250 . . When the location of the photovoltaic module where the failure occurs, the manufacturer, product model information, etc. are identified, the failure location determination unit 471 is a failure history data including a failure cause failure recovery history for the photovoltaic module when repairing a failure, and a failure pattern is input and stored in the cloud DB 450 . Therefore, whenever a failure occurs for each solar module 100 in the cloud DB 450 , the cause of the failure and the repair items are stored.

Since the photovoltaic module 100 has different product characteristics for each manufacturer or model for each manufacturer, each manufacturer's server may store information on a lifespan or failure pattern for each product. In addition, for each model, past failure history and failure recovery history information may also be stored.

When a failure occurs in at least one of the solar modules, the failure part determination unit 472 downloads all failure recovery history information, lifespan information, and failure pattern information for the failed solar module from the cloud DB 450 . And based on the downloaded fault recovery history information, life information, and fault pattern information, it is determined the faulty part of the photovoltaic module where the fault has occurred. The information on the determined failure part is also stored in the cloud DB 450 and notifies the manager in real time through a monitor or a message.

When a failure occurs in at least one solar module, the failure pattern analysis unit 473 downloads all failure recovery history information, lifetime information, and failure pattern information for the failed solar module from the cloud DB 450. And Analyze the failure pattern information of any one photovoltaic module in which a failure has occurred based on the downloaded failure recovery history information, life information, and failure pattern information, wherein the analyzed failure pattern information is also stored in the cloud DB 450 and monitored or monitored The message is delivered to the manager in real time.

Meanwhile, the failure pattern analysis unit 473 may download all failure recovery history information, lifespan information, and failure pattern information for all solar modules according to a predetermined order even if no failure occurs. And by analyzing the failure pattern information of any one solar module in which a failure has occurred based on the downloaded failure recovery history information, life information, and failure pattern information, failure pattern information of each solar module is pre-stored in the cloud DB 451 can be saved The failure pattern information of each photovoltaic module 100 stored in this way is utilized in the maintenance process of the photovoltaic module, thereby further enhancing the management efficiency of the manager.

On the other hand, the failure time prediction unit 474 downloads all of the failure recovery history information, life information, and failure pattern information for all the photovoltaic modules 100 in a predetermined order. And based on the downloaded failure recovery history information, life information, and failure pattern information, each photovoltaic module generates failure prediction information and aging state information. The failure prediction information and aging state information of each solar module generated in this way may be stored in the cloud DB 450 . The failure prediction information is information predicted along with the period during which a failure may occur additionally and the cause of the failure, and the aging state information may be period information about the remaining service life. The failure prediction information and aging state information of each photovoltaic module 100 predicted and stored in this way are utilized as predictive information in the maintenance process of the photovoltaic module, thereby further enhancing the management efficiency of the manager.

FIG. 4 is a configuration diagram specifically illustrating the gateway processor shown in FIG. 2 .

The gateway processor 600 shown in FIG. 4 includes a lifespan prediction information input unit 610 , an output power calculation unit 620 , an output amount control unit 630 , a generated power output control unit 640 , and an inverting output control unit 650 . do.

Specifically, the life prediction information input unit 610 is provided with a wired / wireless communication module, the plurality of solar modules 100 from the cloud server 400 or life prediction information for each accessory included in each of the plurality of solar modules. receive

The output power amount calculation unit 620 sets the generated power output amount for each preset time period according to the generation limit signal received from the outside. When the power generation limit signal is input, the output power amount calculation unit 620 calculates an output amount that is limited and generated according to the power generation limit signal. In this case, 70% of the total power generation output 100% for each time period. The amount of power generation may be limited at a rate of 50%, 30%, or the like.

When the amount of generated power output is set for each preset time period, the first power generation control signal or the second power generation control signal or the first power generation control signal or the first power generation control signal or the first so that the solar module with a shorter predicted lifetime first stops the operation or decreases the generated power output amount according to the lifetime prediction information. 2 Generates power generation control signal.

[Table 1]

As shown in Table 1, the output amount control unit 630 controls the first power generation corresponding to each of the plurality of photovoltaic modules 100 so that the operation of the photovoltaic module 100 with a shorter predicted lifespan is first stopped according to the lifespan prediction information. A control signal is generated and transmitted to the generated power output control unit 640 .

When the lifetime of the solar module of identification number 100_#1 is predicted to be the shortest, the power generation of the solar module of identification number 100_#1 is cut off first, so that the solar module of identification number 100_#1 is turned off first Then, the first power generation control signal may be generated so that the solar module of the identification number 100_#2 with the second shortest lifespan is turned off first in the order.

Alternatively, the output amount control unit 630 may generate a second power generation control signal as shown in Table 2 below to adjust the output power amount by numerically limiting the output amount.

[Table 2]

That is, in order to limit the amount of power output of each photovoltaic module 100 according to the predicted lifespan, the output amount control unit 630 controls the amount of power output from the photovoltaic modules 100 of the shortest predicted lifespan to be adjusted to a large extent. By doing so, the operation is stopped from the photovoltaic module 100 in the order of short life expectancy, or the second power generation control signal is generated so that the output amount is significantly lowered. Accordingly, it is possible to accurately control the amount of generated power output in a numerical ratio, and to limit the operation of each solar module 100 correspondingly.

The power generation power output control unit 640 transmits the first generation control signal to the at least one selection output unit 200 to generate power of at least one solar module among the plurality of solar modules 100 by the first generation control signal. By allowing the power output to be cut off, the operation of the solar module 100 in which the power output is blocked is stopped.

The inverting output control unit 650 transmits the second power generation control signal to the at least one inverting device 300 to adjust the power generation power output amount for each solar module according to the second power generation control signal, so that a plurality of solar The operation time may be controlled for each optical module 100 .

As described above, in the photovoltaic power generation system according to an embodiment of the present invention as described above, the predicted lifespan of each photovoltaic module 100 of a large-scale photovoltaic power plant is calculated from time to time to the accessory devices, and then the power generation limit signal from the outside When receiving and generating limited power generation of the photovoltaic modules, it is possible to limit the generated power production of each photovoltaic module 100 in the order of the predicted lifespan by using the life prediction information. Accordingly, it is possible to adjust the load balance of the photovoltaic module and improve the management efficiency of the photovoltaic power generation system.

Although the above has been described with reference to the drawings and embodiments, it is understood that those skilled in the art can variously modify and change the embodiments without departing from the technical spirit of the embodiments described in the claims below. will be able

100: solar module
200: selection output
300: inverting device
400: cloud server
500: external sensor unit
600: gateway processor

Claims (14)

a plurality of solar modules for generating electric power using solar cells;
a cloud server that generates failure history data for each solar module and calculates lifetime prediction information for each solar module using the failure history data; and
When receiving a power generation limit signal from the outside to limit power generation of the plurality of photovoltaic modules, a gateway processor for limiting the amount of power generated by each of the plurality of photovoltaic modules by using the life prediction information,
The cloud server determines at least any one of the location, manufacturer, and product model of the failed solar module, and fails based on any one of failure recovery history information, lifespan information, and failure pattern information for the failed solar module. It determines the failure part of the photovoltaic module that has occurred, analyzes failure pattern information, and generates failure prediction information and aging status information,
The cloud server,
Calculating the lifetime prediction information for each of the plurality of solar modules even using the amount of power generated by each of the plurality of solar modules, heat generation temperature, and environmental information from the outside,
Generate a first power generation control signal corresponding to each of the plurality of photovoltaic modules so that the operation of the photovoltaic module is first stopped in the order of the shorter predicted lifespan according to the life prediction information,
generating a second power generation control signal corresponding to each of the plurality of photovoltaic modules such that the shorter the predicted lifespan is, the smaller the generated power output according to the life prediction information
solar power system.
The method of claim 1,
The failure history data is
Includes failure cause information, failure recovery items, failure recovery history by manufacturer and product model, life information by product, and failure pattern information,
the cloud server
Using the failure history data to determine the cause of the failure of the solar module where the failure has occurred, and to deliver the determined failure cause to the manager
solar power system.
3. The method of claim 2,
A plurality of fault diagnosis units for sensing the voltage value, current value, or power value of each solar module, and comparing the sensed voltage value, current value, or power value with a preset reference value to determine a failure;
the cloud server
According to the failure determination signal input from each failure diagnosis unit, the failure history data of any one solar module in which a failure occurs is extracted, life prediction information is calculated for each of the plurality of solar modules, and the life prediction information is used in the gateway shared with the processor
solar power system.
The method of claim 1,
The gateway processor
When limiting power generation of the plurality of photovoltaic modules, limiting the amount of power generated by each of the plurality of photovoltaic modules by using life prediction information calculated using the amount of power generated, heat generation temperature, and environmental information from the outside
solar power system.
delete The method of claim 1,
By blocking the power output of at least one photovoltaic module among the plurality of photovoltaic modules according to the first power generation control signal from the gateway processor, at least one for stopping the operation of the photovoltaic module whose power output is blocked selection output; and
Further comprising an external sensor unit for sensing at least one of environmental information among temperature, humidity, air volume, temperature, and sunlight brightness information and transmitting the sensing information to the gateway processor or the cloud server
solar power system.
7. The method of claim 6,
At least one inverting device for controlling an operation time for each of the plurality of photovoltaic modules by adjusting the amount of generated power output for each of the plurality of photovoltaic modules according to a second power generation control signal from the gateway processor
solar power system.
5. The method of claim 4,
the cloud server
an electric power calculation unit for sensing the amount of power generated by each of the plurality of solar modules;
a meteorological data generator for generating meteorological data on temperature, humidity, air volume, temperature, and sunlight brightness by using the environment information;
a temperature data generation unit sensing temperature changes of accessory devices included in each of the plurality of solar modules to generate temperature data for each accessory device of each solar module;
a cloud DB for storing and sharing the amount of power generated by the plurality of solar modules, manufacturing date and lifespan information of accessory devices included in each of the plurality of solar modules, the weather data, and the temperature data;
The plurality of solar modules or the plurality of solar modules using the manufacturing date and lifetime information of accessory devices included in each of the plurality of solar modules, the amount of power generated by the plurality of solar modules, the weather data, and the temperature data Comprising a life prediction unit for generating the life prediction information for each accessory included in each optical module
solar power system.
9. The method of claim 8,
the cloud server
Using the failure history data including failure cause information, failure recovery items, failure recovery history by manufacturer and product model, life information by product, and failure pattern information to determine the cause of failure for the photovoltaic module in which the failure occurred Further comprising a failure history data generation unit
solar power system.
10. The method of claim 9,
The life expectancy unit
Using the failure history data of each of the plurality of photovoltaic modules to generate the life prediction information for each accessory included in the plurality of photovoltaic modules or each of the plurality of photovoltaic modules
solar power system.
9. The method of claim 8,
The gateway processor
a life prediction information input unit for receiving life prediction information for each accessory device included in the plurality of solar modules or each of the plurality of solar modules from the cloud server;
an output power calculation unit configured to set the generated power output amount for each preset time period according to a power generation limit control signal received from the outside;
When the amount of generated power output for each preset time period is set, according to the life prediction information, the solar module having a shorter predicted life includes an output amount control unit for controlling the operation to be stopped first or to reduce the generated power output amount
solar power system.
12. The method of claim 11,
The output amount control unit
According to the life prediction information, a first power generation control signal corresponding to each of the plurality of photovoltaic modules is generated and transmitted to the power generation power output control unit so that the solar modules with a shorter predicted lifespan are first stopped;
According to the life prediction information, a second power generation control signal corresponding to each of the plurality of photovoltaic modules is generated and transmitted to the inverting output control unit so that the shorter the predicted lifespan is, the smaller the generated power output.
solar power system.
13. The method of claim 12,
The power generation power output control unit
By transmitting the first power generation control signal to at least one selection output unit so that the generated power output of at least one solar module among the plurality of solar modules is blocked by the first power generation control signal, the generated power output is to stop the operation of the blocked solar module
solar power system.
13. The method of claim 12,
The inverting output control unit
By transmitting the second power generation control signal to at least one inverting device to adjust the amount of generated power output for each of the plurality of photovoltaic modules according to the second power generation control signal, the operation time is controlled for each of the plurality of photovoltaic modules doing
solar power system.

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