KR20220031271A - Sun light electric generator for detecting malfunction panel - Google Patents

Abstract

The present invention relates to a photovoltaic apparatus for detecting a failed panel. The present invention provides a photovoltaic apparatus, comprising: a plurality of solar panels; a current sensor sensing current of the solar panels; an inverter converting direct current power of the current sensor into alternating current power; and an information processing device receiving current measurement data from the current sensor through the conversion result of the inverter. The plurality of solar panels and the current sensor have a connection structure for detecting a failed panel through combination of a current sensor whose current value is lowered as compared with a normal current sensor if a failure occurs at the solar panel. A relational equation for detecting the failed panel using the combination is represented by P = 2^n - 2, where P is the number of solar panels and n is the number of the current sensors. The present invention can prevent waste of time for finding the position of the failed panel.

Description

Sun light electric generator for detecting malfunction panel

The present invention relates to a photovoltaic device for detecting a faulty panel, and more particularly, to a photovoltaic device for detecting a faulty panel capable of determining the location of a faulty panel using a combination of a solar panel and a current sensor is about

Solar power is a method of producing electricity directly by using sunlight, and a cell using sunlight is called a PV cell (solar cell). It is a structure in which several cells are bundled together on one plate to form a solar panel, and several are combined to form one solar power generation device.

1 is a circuit diagram of a general solar light, and shows a connection structure of a current sensor produced by a solar panel.

The current sensor measures the current and voltage of the solar panel in real time, transmits the measurement data to the main computer, and uses the received data to determine whether or not the solar panel is faulty and the location of the faulty panel. Since this method requires one sensor per solar panel, when applied to large-scale solar power generation, there is a problem in that the price increases due to the increase in the number of sensors.

In addition, if the failure of the solar panel is not accurately detected, the power generation efficiency of the entire system is rapidly reduced, and a problem occurs that it takes a lot of time to find the location of the failed solar panel.

And, as mentioned above, if one current sensor is used per one solar panel to find the exact location of the defective panel, the problem of unit price increase due to the increase in the number of current sensors also occurs.

Therefore, in recent years, there has been continuous development of algorithms and systems to solve problems such as an increase in the number of current sensors and difficulty in finding a location.

Korean Patent Application No. 2019-0050187 Korean Patent Application No. 2018-0005210 Korean Patent Publication No. 2012-0126079

Accordingly, it is an object of the present invention to provide a photovoltaic power generation device for detecting a faulty panel capable of quickly determining the location of a photovoltaic panel having a defect such as a failure.

In addition, it is intended to provide a connection structure between a solar panel and a current sensor that can reduce the number of current sensors.

In addition, an object of the present invention is to provide a device for monitoring the components of the solar power generation device.

In order to solve this problem, the present invention provides a plurality of solar panels, a current sensor for sensing the current of the solar panel, an inverter for converting the DC power of the current sensor into an AC power, and a current through the conversion result of the inverter In the photovoltaic power generation device including an information processing device that receives current measurement data from a sensor, the current value is normal when a defect occurs in the solar panel in the plurality of solar panels and the current sensor It has a connection structure that detects a defective panel with a combination of a lowered current sensor, and the relational expression for detecting a defective panel using the combination is the following equation,

[Equation 1] P = 2 ⁿ - 2 (where P is the number of solar panels and n is the number of current sensors).

And, the connection structure of the solar panel (P1 to P6) and the current sensor (A1 to A3) is when the current sensor is A1, the solar panel is P1, P2, P4, when the current sensor is A2 , The solar panel is P2, P3, P5, when the current sensor is A3, the solar panel is characterized in that the P1, P3, P6.

And, the detection of the defective panel measures the current of the current sensors, calculates the average value of the measured current, and if the average value is 400 mA or more, compares all measured currents to designate the maximum current, and the maximum current and the remaining Comparing the current measured value, it is determined whether it is lower than the maximum current by more than 6%, and if it is lower than 6%, the low current value of the corresponding current sensor is monitored for 5 minutes. It is characterized by notifying the number and location of the faulty panel using

In addition, if the average value is less than 400mA, it is considered impossible to measure due to weather conditions and is terminated. If the measured value is more than 6% of the maximum current, it is considered that there is no faulty panel and is terminated. It is characterized in that the judgment is terminated.

Therefore, the present invention is effective in solving the problems of waste of time to find the exact location of a defective panel and an increase in unit price due to the need for the number of current sensors in the existing solar power generation device.

1 is a circuit diagram of general sunlight
2 is a structural diagram of a photovoltaic device.
3 is a view showing a connection structure of a solar panel and a current sensor.
4 is a photo of a fault diagnosis system with 14 solar panels.
5 is a circuit diagram of a coupling structure of a solar panel and a current sensor.
6 is a diagram showing a sequence of a method for detecting a defective panel.
7 is a structural diagram showing that the monitoring device is coupled to the solar power generation device.
8 is a schematic configuration diagram of a monitoring device;
9 is a flowchart illustrating a method for monitoring a solar power generation device.
10 is a view of a photovoltaic monitoring system according to another embodiment of the present invention.
11 is a block diagram illustrating the configuration of an RTU according to another embodiment of the present invention.
12 is a block diagram showing the configuration of a monitoring server according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, in adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are marked on different drawings.

In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

In addition, since the terms used in the present application are only used to describe specific embodiments, it is not intended to limit the present invention, and the singular expression means a plural expression unless the context clearly indicates otherwise. we want to leave

2 is a structural diagram of a solar power generation device, FIG. 3 is a diagram showing a connection structure of a solar panel and a current sensor, FIG. 4 is a photograph of a fault diagnosis system having 14 solar panels, and FIG. It is a circuit diagram of a combination structure of a panel and a current sensor, FIG. 6 is a diagram showing a sequence of a method for detecting a defective panel, FIG. 7 is a structural diagram showing a monitoring device coupled to a solar power generation device, and FIG. 8 is a monitoring device is a schematic configuration diagram of, FIG. 9 is a flowchart showing a method of monitoring a photovoltaic device, FIG. 10 is a view of a photovoltaic power generation monitoring system according to another embodiment of the present invention, and FIG. 11 is another embodiment of the present invention It is a block diagram showing the configuration of an RTU according to an embodiment, and FIG. 12 is a block diagram showing the configuration of a monitoring server according to another embodiment of the present invention.

Referring to FIG. 2 , the photovoltaic power generation device 100 for detecting a faulty panel according to the present invention includes a plurality of photovoltaic panels 10 and a current sensor 20 for detecting the current of the photovoltaic panel 10 . and an inverter 30 that converts the DC power of the current sensor 20 into AC power, and an information processing device 40 that generates photovoltaic power through the conversion result of the inverter 30 . For reference, the number of the solar panel 10 is not particularly limited, but preferably in the range of 5 to 50.

The photovoltaic panel 10 is also called a photovoltaic module, and is made by combining several solar cells on one plate in a grid structure.

The current sensor 20 has a structure connected to the solar panel 10 in order to detect a defect according to the high and low current of the solar panel 10 . The current sensor 20 may be connected to a power supply unit (not shown) to measure the amount of current generated by the solar panel 10 in real time.

The power supply unit may transmit reverse current to the solar panel 10 . A battery (not shown) is formed in the power supply unit, and the battery is a storage for storing current, and may be a capacitor used in the photovoltaic device 100 of the present invention or a capacitor for temporarily storing power transmitted from a power station. there is.

In other words, the battery may store the current generated from the solar panel 10 or the current transmitted from the power station.

The inverter 30 serves to convert a direct current (DC) current generated from the solar panel 10 into an alternating current (AC) current.

As current is supplied to the panel 10 by the power supply unit, the inverter 120 transmits from the lead wire (reference numeral omitted) connected to the negative (-) terminal (not shown) and the positive (+) terminal (not shown). Receives direct current power and converts it into alternating current power. The AC power is supplied to the battery consuming power.

The measurement data of current from the current sensor 20 is transmitted to the information processing device 40 through the conversion result of the inverter 30 .

Here, the information processing device 40 may be a PC or a mobile phone terminal as representative examples, but is not limited thereto.

Referring to FIG. 3 , Table 1 below shows a connection structure for detecting defects of six solar panels P1 to P6 with three current sensors A1 , A2 , and A3 . In this case, when a defect occurs in the solar panel, as shown in Table 2, the defective panel can be detected by the combination of the current sensor whose current value is lower than that of normal.

[Table 1] Solar panel connected to each current sensor

As shown in Table 1 and FIG. 3, the connection structure between the solar panel 10: P1 to P6 and the current sensors A1 to A3 is that when the current sensor 20 is A1, the solar panel ( 10) is P1, P2, P4, when the current sensor 20 is A2, the solar panel 10 is P2, P3, P5, when the current sensor is A3, the solar panel 10 is They are P1, P3, and P6.

As described above, by deriving the relationship between the number of solar panels P and the required number of current sensors n using a combination in the form of a look up table, P = 2 ⁿ - 2 can be obtained. In this formula, '-2' is added because the case where the solar panel 10 is connected to all the current sensors 20 and the case where it is not connected to all the current sensors 20 should be excluded.

That is, as shown in FIG. 3 , the plurality of photovoltaic panels 10 and the current sensor 20 are a combination of a current sensor whose current value is lower than normal when a defect occurs in the photovoltaic panel 10 . It is a connection structure that detects defective panels. The relational expression for detecting a defective panel using the above combination is P = 2 ⁿ - 2. With Table 1, for example, P (the number of solar panels) is 6, and n (the number of current sensors) is 3, so 6 = 2 ³ - 2 becomes.

Referring to Table 1 above, if it is divided into a faulty panel and a current sensor 20 with a lowered current value, it is shown in Table 2 below.

[Table 2] Combination of Current Sensor for Faulty Panel Detection

Referring to Table 2 above, if the current value of the current sensor 20 is lower than the reference value of A1 and A3 among the current sensors 20 of A1 ~ A3, the faulty panel becomes P1, and A1 and A2 are the reference values. If it is lower, the faulty panel is P2, and if only A1 is lower than the reference value, P4 is the faulty panel.

4 is a photograph of a fault diagnosis system 100 ′ with 14 solar panels 10 . An experiment was conducted to detect a defective panel by having the same shape as above.

14 solar panels (10) (88 mm x 142 mm, maximum output 1.9 W) and a current sensor (not shown in this photo) (INA219, maximum measurement voltage: 26 V, maximum measurement current: 3.2 A, tolerance: ± 0.8 mA) 4 and Arduino Uno 4 were used to construct the solar panel fault diagnosis system 100.

Install the solar panel 10 and the current sensor 20 outdoors on a sunny day and compare the measured current values when all the solar panels operate normally and when P2, P5, P6, and P14 each operate in a malfunction. (Table 5), it was verified that the malfunction diagnosis algorithm operates correctly. The malfunctioning solar panel 10 was covered with a black cloth.

When all the solar panels operate normally, the current of the current sensor 20 was all measured to be 990 mA or more. Under the condition that each panel of P2, P5, P6, and P14 malfunctions, a sensor whose measured current value is 6% lower (~930 mA) than Amax (~990 mA) is detected, and additional monitoring is performed for 5 minutes by the fault diagnosis algorithm Then, it was verified that the location (number) of the solar panel malfunctioning in the fault diagnosis system 100' was accurately diagnosed using the combination result (look up table) of the current sensor.

At this time, the connection between each solar panel 10 and the current sensor 20 is shown in FIG. 5 and Table 3 below.

[Table 3] 14 solar panels connected to each current sensor

The combination conditions for making the combination conditions of A1 to A4 for detecting the failed panel with Table 3 are shown in Table 4 below.

[Table 4] Combination conditions of A1 to A4 for detecting faulty panels

As shown in [Table 4], if it is assumed that P2, P5, P6, and P14 are out of order, it is shown in [Table 5] below. The faulty solar panel's current is less than 930mA (indicated by a red number).

[Table 5] Current value of each current sensor when P2, P5, P6, P14 is faulty

As shown in [Table 5], all solar panels 10 operating normally are 990mA or more, but only P2, P5, P6, and P149 are 930mA or less, 891, 898, 895mA, etc.

In this way, the solar panel fault diagnosis system 100' using 14 solar panels 10, 4 current sensors (not shown), and 4 Arduino Uno (reference numerals omitted) in FIG. configured and verified for operation.

As described above, in photovoltaic power generation using a plurality of photovoltaic panels, the number of current sensors for fault diagnosis of photovoltaic modules is P = 2 ⁿ - 2, so the reduction of the current sensor 20 can be achieved. will be.

That is, by using the combination of the solar panel 10 and the current sensor 20 , the number of current sensors 20 can be minimized, and the faulty solar panel 10 can be diagnosed as well as the faulty solar panel 10 . The position of the photovoltaic panel 10 can be quickly and accurately determined through the connection structure between the photovoltaic panel 10 and the current sensor 20 .

Hereinafter, a procedure for detecting a defective panel will be described with reference to FIG. 6 . A description that overlaps in the above-described embodiment will be omitted to some extent.

a) Measure the current of the current sensors 10 connected to the solar panel 10 .

The current flowing in the solar panel 10 is measured through the current sensor 20 connected to the solar panel 10 .

b) Calculate the average value of the current measured in a) above.

That is, it is determined whether the average value is 400 mA or more by calculating the average value of the measured currents. The reason is to terminate the procedure (algorithm) by considering that the day is cloudy or raining when the current value of the measured panel 10 is less than 400 mA per panel.

That is, it is to filter in advance the case of a cloudy day, rain, or snow.

c) If the average value is more than 400mA, compare all the measured currents and designate the maximum current. That is, if the average value is 400mA or more, it is determined that correct data can be obtained during measurement.

As described above, if the average value in c) is less than 400 mA, it is considered that measurement is impossible due to weather conditions and the procedure is terminated. The criterion for the case of less than 400 mA is because the average value is less than 400 mA when it is cloudy, raining, or snowing.

In other words, on a cloudy day or when it rains or snows, the overall temperature decreases and the temperature decreases, so that less current is generated in the current sensor 20, so the possibility that the measured current value will be less than 400 mA is very rich. .

Therefore, if the average value of the current is 400mA or more, it is determined that correct data comes out, and normal measurement is possible. For reference, it should be noted that the reference value of 400 nmA, which is the reference value of the average value, may vary depending on the location or the like.

d) It is determined whether the maximum current is lower than the maximum current by 6% or more by comparing the measured values of the remaining currents.

If the measured value is less than 6% of the maximum current, it is considered that there is no faulty panel and the procedure is terminated. If the measured value was 6% or less, the solar panel 10 was considered to be working properly and the solar panel 10 was covered with an arbitrary black cloth (see FIG. 4 ).

The reason for limiting the measured value to 6% or less is that when the magnitude of the reactive power output from the inverter 30 to the outside exceeds 6% of the magnitude of the reference active power, the component of the reactive power becomes excessively high and the power factor of the output current increases. This is because, since the component of reactive current is greatly increased, the possibility of a defective panel increases.

For example, if the current values of A1, A2, and A3 become 410mA, 420mA, and 430mA, respectively, when comparing A3, which is 430mA, with the remaining values of A1 and A2, A1 is 0.953 (410/430), A2 is 0.976 ( 420/430), so it is all less than 6% (0.940). In this case, since there is no solar panel 10 with a difference of 6% or more in the measured values, there is no malfunctioning solar panel and it is a normal solar panel 10, so the experiment is ended.

e) If the current value is higher than 6%, the low current value of the corresponding current sensor 20 is monitored for 5 minutes.

If the current measurement value differs by more than 6% and lasts for more than 5 minutes, it is considered a failure, and the number and location of the failed solar panel 10 using the combination of the corresponding current sensor 20 will be.

If it does not last more than 5 minutes and is less than 5 minutes, it is regarded as a temporary shading phenomenon, and since there is no broken solar panel 10, the experiment is terminated.

Because if it's less than 5 minutes, it's temporarily cloudy, so it's considered working. In other words, things like the case where the sun temporarily enters the cloud may occur, so wait for about 5 minutes. It should be pointed out that the standard of 5 minutes can be changed depending on the location and the like.

In other words, even in clear weather conditions in the middle of the day, the current value of the solar panel 10 may be temporarily lowered due to shading by clouds. It confirms the action and ends.

f) As a result of monitoring, the number and location of the faulty solar panel 10 are notified to the information processing device 40, etc. using a combination of the corresponding current sensor 20 that lasted for more than 5 minutes and has a difference of more than 6% will be

That is, through the connection structure of the current sensor 20, the number of the faulty or defective solar panel 10 is found, and the location and number are notified to the information processing device 40 so that a quick action can be taken.

Hereinafter, a system for monitoring the photovoltaic device 100 by coupling the monitoring device 200 to the photovoltaic device 100 of the present invention will be described.

As shown in FIG. 7 , a monitoring device 200 is connected to the photovoltaic device 100 . Components of the photovoltaic device 100 include a photovoltaic module 10 , a current sensor 20 , an inverter 30 , and an information processing device 40 as shown in FIG. 2 .

The monitoring device 200 monitors the presence or absence of abnormalities in the components (solar module 10, current sensor 20, inverter 30, information processing device 40) of the solar power generation device 100, When an abnormality occurs, it is in the form of notifying the fact that the abnormality has occurred to the manager terminal 400 through the communication network 300 .

For reference, the communication network 300 includes Wi-Fi, a wide area network (WAN), and a local area network (LAN).

The manager terminal 400 is connected to the monitoring device 200 through the communication network 300 , and may request and confirm the monitoring result of the photovoltaic device 100 by accessing the monitoring device 200 . The manager terminal 400 is an information processing device that displays a screen that a person can check, such as a PC, a smart phone terminal, a tablet, and the like.

8 is a schematic configuration diagram of a monitoring device 200 according to an embodiment of the present invention.

Referring to FIG. 8 , the components of the monitoring device 200 include a sensing unit 210 , a database unit 220 , an abnormality determination unit 230 , an alarm unit 240 , and a monitoring sequence determining unit 250 . and a monitoring control unit 290 .

The sensing unit 210 measures input and output currents, voltages and power values of each component of the photovoltaic device 100 according to the control signal of the monitoring control unit 290 .

The database unit 220 stores the measurement results measured in the sensing unit 210 , and stores input and output reference values of each component.

Then, the database unit 220 stores basic information of each component of the photovoltaic device 100 , installation information, abnormality occurrence history, repair history, and the like.

That is, the lifetime of the components of the solar power generation device 100 such as the solar panel 10 , the current sensor 20 , the inverter 30 and the information processing device 40 , product specification information, installation date, and abnormal occurrence Data about the date, abnormal occurrence history, number of abnormal occurrences, parts repair date, parts repair number, etc. are stored.

The abnormality determination unit 230 determines the presence or absence of abnormality of each component of the photovoltaic device 100 based on the data stored in the database unit 220 .

That is, by comparing the input and output reference values of each component stored in the database unit 220 with the measurement result measured by the sensing unit 210 , it is determined whether each component is abnormal. Then, the determination result is transmitted to the monitoring control unit 290 .

The alarm unit 240 transmits the monitoring result to the manager terminal 400 through the communication network 300 when an abnormality occurs in the components of the photovoltaic device 100 according to the control signal of the monitoring control unit 290 . .

Monitoring sequence determining unit 250 is the configuration of the photovoltaic device 100 based on the basic information, installation information, abnormal occurrence history, and repair history information of the photovoltaic device 100 stored in the database unit 220 By classifying elements into a group with a relatively high probability of occurrence and a group with a relatively low probability of occurrence of abnormalities, the monitoring cycle and order are set differently.

That is, a component belonging to a group having a relatively high probability of occurrence of an abnormality is frequently monitored by a relatively short monitoring period, so that an abnormality in the component can be detected more quickly.

The monitoring control unit 290 serves to control the operations of the sensing unit 210 , the database unit 220 , the abnormality determination unit 230 , and the alarm unit 240 .

Hereinafter, a method of monitoring the photovoltaic device 100 will be described with reference to FIG. 9 .

First, the monitoring order and cycle of the solar power generation device 100 components (the solar panel 10, the current sensor 20, the inverter 30, and the information processing device 40: hereinafter, components) is determined (S 210).

That is, based on the basic information, installation information, abnormal occurrence history, and repair history information of the photovoltaic device 100 stored in the database unit 220 , the probability of occurrence of abnormality among the components of the photovoltaic device 100 is relatively The frequency and order of monitoring are determined by classifying them into a high group and a relatively low probability of occurrence of abnormalities.

That is, it is determined to perform a relatively large number of monitoring of the components of the photovoltaic device 100 belonging to a group having a relatively high probability of occurrence of abnormality.

A process of measuring the input/output terminal voltage, current, and power of the components of the photovoltaic device 100 is performed using the sensing unit 210 of the monitoring device 200 according to the determined monitoring sequence and cycle (S 220) .

Next, a process of storing the result measured in S220 in the database unit 220 is performed (S230).

Next, by comparing the reference value stored in the database unit 220 with the result measured through the sensing unit 210, a process of determining whether or not there is an abnormality in the components of the photovoltaic device 100 is performed (S 240) .

Then, as a result of the determination in the above process, if no abnormality occurs in the components of the photovoltaic device 100, the above process is repeated (S 250).

If an abnormality occurs in a component of the photovoltaic device 100 , the monitoring result is transmitted to the manager terminal 400 through the communication network 300 ( S260 ).

Hereinafter, another embodiment of the monitoring device 200 will be described with reference to FIGS. 10 to 12 . Prior to explaining this embodiment, the solar power plant 103 is a power plant that generates electricity using a solar module and a solar cell, and is an aggregate in which there are several solar power generation devices 100 described in the previous embodiment. That's it.

According to this embodiment, the monitoring device 200 of the solar power plant 103 may be configured as shown in FIG. 10 . That is, a plurality of RTUs (Remote Terminal Units) 102 are connected to each of the plurality of photovoltaic power plants 103 , and the plurality of RTUs 102 may be connected to one monitoring server 101 .

In addition, the solar power plant 103 and the RTU 102 can be wirelessly connected through Zigbee communication, and the RTU 102 and the monitoring server 101 are connected to an Internet network using Wi-Fi communication. can be connected through

The RTU 102 and the monitoring server 101 will be described with reference to FIGS. 11 to 12 below.

11 is a block diagram illustrating the configuration of the RTU 102 according to another embodiment of the present invention.

In the monitoring device 200 including a plurality of RTUs 102 and one monitoring server 101 respectively connected to the solar power plant 103, the RTU 102 is a first communication unit 201, a monitoring unit ( 202 ), and a second communication unit 204 .

The first communication unit 201 may receive meter reading data from the solar power plant 103 . Also, according to an embodiment, the first communication unit 201 may be a Zigbee communication unit. That is, it is possible to receive the meter reading data from the solar power plant 103 through Zigbee communication.

The monitoring unit 202 may generate remote data based on the meter reading data. The remote data may include at least one of RTU register data, RTU sensor data, RTU radio state data, and RTU photovoltaic state data, and according to an embodiment, RTU register data, RTU sensor data, RTU radio state Data, and RTU may be configured to include both photovoltaic power generation state data.

The second communication unit 204 may transmit the generated remote data to the monitoring server 101 . In addition, according to an embodiment, the second communication unit 204 may be a Wi-Fi communication unit. That is, it is possible to transmit the generated remote data to the monitoring server 101 through Wi-Fi communication.

In addition, according to the embodiment, the RTU 102 may further include a third communication unit (not shown) for receiving a user setting signal, and update according to the user setting signal through the second communication unit 204 (update) It is possible to transmit the RTU configuration information to the monitoring server (101).

The user may access the RTU 102 through the Internet, and may input a user setting signal to the RTU 102 through the third communication unit.

In addition, the user setting signal may be transmitted to the monitoring server 101 to update data about the RTU (102). That is, the user's request can be immediately reflected.

12 is a diagram showing the configuration of the monitoring server 101 according to another embodiment of the present invention.

According to an embodiment, the monitoring server 101 may include a verification unit 301 , a control unit 302 , an RTU control unit 304 , an alarm unit 303 , and a storage unit 305 .

The verification unit 301 may verify the remote data transmitted through the RTU 102 as shown in FIG. 2 .

In addition, according to the embodiment, the verification unit 301 can determine whether at least one of the RTU register data, RTU sensor data, RTU radio state data, and RTU solar power generation state data included in the remote data is in a normal state. there is.

In addition, according to another embodiment, it is possible to determine whether all of the RTU register data, RTU sensor data, RTU radio state data, and RTU solar power generation state data included in the remote data is in a normal state.

The RTU control unit 304 may transmit an RTU control value to each RTU based on the verification result of the verification unit 301 .

In addition, if it is determined that any one of the RTUs 102 is abnormal as a result of the verification by the verification unit 301, a reset command may be transmitted to the abnormal RTU.

The alarm unit 303 may generate an alarm when an abnormal value is detected by the verification unit 301 . Also, according to an embodiment, the alert unit 303 may access a mobile communication network and transmit a mobile alert using a short message service (SMS) of the mobile communication network.

The storage unit 305 may store RTU data. In addition, the verification unit 301 loads the RTU data stored in the storage unit 305, compares the loaded RTU data with a value included in the remote data, and a value that does not match the comparison result is If there is no RTU 102 can be determined to be in a normal state.

In addition, when the user setting signal is transmitted from the RTU 102, the storage unit 305 may update the stored RTU data.

In addition, according to the embodiment, the storage unit 305 may include a plurality of data blocks for storing RTU data for each RTU (102) for a plurality of RTU (102).

When the remote control of the RTU 102 is possible, the control unit 302 controls to transmit a control value through the RTU control unit 304, and when the mobile alarm is required, the mobile alarm is transmitted through the alarm unit 303 It can be controlled to transmit to an external device.

Those skilled in the art to which the present invention pertains as described above will understand that the present invention may be implemented in other specific forms without changing the technical spirit or essential features of the present invention. Therefore, it should be understood that the above-described embodiments are illustrative and not restrictive.

The scope of the present invention is indicated by the appended claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

10: solar module 20: current sensor
30: inverter 40: information processing device
100: solar power generation device 101: monitoring server
102: RTU 103: solar power plant
200: monitoring device 201: first communication unit
202: monitoring unit 204: second communication unit
210: sensing unit 220: database unit
230: abnormality determination unit 240: alarm unit
250: monitoring order determining unit 290: monitoring control unit
300: communication network 301: verification unit
302: control unit 303: alarm unit
304: RTU control unit 305: storage unit
400: administrator terminal

Claims (4)

A plurality of solar panels and a current sensor for detecting the current of the solar panel, an inverter for converting the DC power of the current sensor into an AC power, and the current sensor through the conversion result of the inverter In the photovoltaic power generation device for detecting a faulty panel including an information processing device receiving measurement data,
The plurality of solar panels and the current sensor have a connection structure that detects a defective panel by a combination of a current sensor whose current value is lower than normal when a failure occurs in the solar panel, and detects a defective panel using the combination The relation is the following expression,
[Equation 1] P = 2 ⁿ - 2 (where P is the number of solar panels, n is the number of current sensors) A solar power generator for detecting a faulty panel, characterized in that it consists of. According to claim 1,
The connection structure of the solar panels P1 to P6 and the current sensors A1 to A3 is when the current sensor is A1, the solar panel is P1, P2, P4, and when the current sensor is A2, the The solar panel is P2, P3, P5, and when the current sensor is A3, the solar panel is P1, P3, P6 A solar power generation device for detecting a faulty panel, characterized in that.
According to claim 1,
The detection of the defective panel is
a) measuring the current of the current sensors;
b) calculating an average value of the measured currents;
c) if the average value is more than 400mA, compare all the measured currents and designate the maximum current;
d) determining whether the maximum current is lower than the maximum current by 6% or more by comparing the measured values of the remaining currents;
e) monitoring the low current value of the corresponding current sensor for 5 minutes if it is higher than 6%;
f) If it lasts more than 5 minutes, a photovoltaic power generation device for detecting a faulty panel, characterized in that it informs the number and location of the faulty panel using a combination of the corresponding current sensor.
4. The method of claim 3,
If the average value in c) is less than 400mA, it is considered impossible to measure due to weather conditions and is terminated. Solar power generation device for detecting a faulty panel, characterized in that if it lasts less than a minute, it is judged as a temporary shadow and is terminated.

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