A distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison

Abstract

The present invention discloses a distributed photovoltaic power generation abnormality monitoring method based on homologous information correlation comparison, comprising the following steps: collecting the output current of a micro photovoltaic power generation panel homologous to the distributed photovoltaic power generation equipment as a sampled current value and the actual output current value of the distributed photovoltaic power generation equipment; comparing the sampled current value with the actual output current value of the distributed photovoltaic power generation equipment, and issuing a warning message if the comparison result reaches a set threshold. The monitoring method provided by the present application adopts the principle of homologous information correlation comparison, comprehensively considers the impact of environmental factors on photovoltaic power generation, tracks the theoretical power generation value in real time, refines the monitoring granularity, improves the monitoring accuracy, and effectively improves the detection rate of photovoltaic power abnormalities; when the actual current output value on the photovoltaic power generation customer side exceeds a certain range of the current value actually measured by the monitor, the monitor can automatically send a warning message to remind the power staff to monitor on site.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy application support systems, and in particular to a distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison. Background Art

[0002] The traditional distributed photovoltaic power generation abnormality monitoring method can only calculate its theoretical power generation according to the reported capacity, and then passively monitor it according to the power generation abnormality indicators in the power collection system. The problems are as follows:

[0003] 1. The original electricity consumption collection system monitors distributed photovoltaic data such as grid-connected status and power generation. The data are complex and lack specificity. In addition, on-site metering installation is complicated and requires power outage operation.

[0004] 2. The indicators are based on rough and imprecise data, resulting in unsatisfactory monitoring results and failing to meet the effective monitoring needs of distributed photovoltaic power generation users.

[0005] 3. Monitoring needs to rely on manual verification and lacks an auxiliary early warning mechanism, resulting in a low detection rate and a long detection time. Summary of the invention

[0006] In view of the technical problems pointed out in the background technology, the purpose of the present invention is to provide a distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison.

[0007] To achieve the purpose of the present invention, the technical solution provided by the present invention is specifically as follows:

[0008] A distributed photovoltaic power generation abnormality monitoring method based on homologous information correlation comparison includes the following steps:

[0009] Step S1: collecting the output current of the micro photovoltaic power generation panel of the same source as the distributed photovoltaic power generation equipment as the sampled current value and the actual output current value of the distributed photovoltaic power generation equipment;

[0010] Step S2: Compare the sampled current value with the actual output current value of the distributed photovoltaic power generation equipment, and issue a warning message if the comparison result reaches a set threshold.

[0011] The comparison result reaches the set threshold, specifically when the absolute value of the difference between the sampled current value and the actual output current value divided by the actual output current value reaches 10%.

[0012] Wherein, the method is performed using a distributed photovoltaic power generation anomaly monitoring system, and the distributed photovoltaic power generation anomaly monitoring system includes a monitor and a remote receiving terminal;

[0013] The monitoring instrument comprises a box, a micro photovoltaic power generation panel installed on the box, a current sensor, a controller, and a wireless communication module installed in the box, and a current transformer installed outside the box;

[0014] The micro photovoltaic power generation panel is used to collect light energy, and is connected to the current sensor, and the current sensor is used to collect the output current of the micro photovoltaic power generation panel as a sampled current value;

[0015] The current transformer is used to collect the actual output current value of the distributed photovoltaic power generation equipment;

[0016] The controller is connected with the current sensor, the current transformer and the wireless communication module, and is used to receive the sampled current value collected by the current sensor and the actual output current value collected by the current transformer, and compare them. If the comparison result reaches a set threshold, the wireless communication module is controlled to issue an early warning message;

[0017] The remote receiving terminal is used to receive the warning information.

[0018] Wherein, the micro photovoltaic power generation panel is a single crystal solar power generation panel.

[0019] Wherein, the current sensor is an ACS758 Hall-type current sensor.

[0020] Wherein, the current transformer is a split-type current transformer.

[0021] Wherein, the wireless communication module is a 4G DTU long-distance wireless communication module.

[0022] Wherein, the controller is a PLC controller.

[0023] It also includes a power supply module installed in the box and used to supply power to the monitor.

[0024] Wherein, the remote receiving terminal is a desktop computer, a pad or a mobile phone.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The monitoring method provided in this application adopts the principle of correlation and comparison of homologous information, comprehensively considers the impact of environmental factors on photovoltaic power generation, tracks the theoretical power generation value in real time, refines the monitoring granularity, improves the monitoring accuracy, and effectively increases the detection rate of abnormal photovoltaic power conditions; when the actual current output value on the photovoltaic power generation customer side exceeds a certain range of the current value measured by the monitor, the monitor can automatically send an early warning message to remind power workers to conduct on-site inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1A schematic diagram of a method flow chart provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of the external structure of the monitoring device provided in the embodiment of the present application;

[0029] In the figure, there is a box 1, a micro photovoltaic panel 2, a current transformer 3, and an antenna 4. DETAILED DESCRIPTION

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] like Figure 1 As shown, this embodiment provides a distributed photovoltaic power generation abnormality monitoring method based on homologous information correlation comparison, including the following steps:

[0032] Step S1: collecting the output current of the micro photovoltaic power generation panel of the same source as the distributed photovoltaic power generation equipment as the sampled current value and the actual output current value of the distributed photovoltaic power generation equipment;

[0033] Step S2: Compare the sampled current value with the actual output current value of the distributed photovoltaic power generation equipment, and issue a warning message if the comparison result reaches a set threshold.

[0034] It should be noted that the embodiment simplifies the monitoring object from electric quantity to monitoring of power generation current, collects the actual output current of photovoltaic power generation by the split current transformer, and can realize monitoring without power outage.

[0035] In addition, through the analysis of the principle of abnormal state of distributed photovoltaic power generation, several common methods are: voltage boost method, current boost method, mains connection method, photovoltaic simulator method, etc. Through the summary of test data, it is known that the current boost method, photovoltaic simulator method, and mains connection method can all sense the abnormal state of photovoltaic power generation equipment by monitoring the current. The above three methods cause the abnormal power generation of photovoltaic power generation equipment to account for as high as 78.21%+14.70%+4.45%=97.36%.

[0036] It can be seen that by monitoring the photovoltaic power generation current, about 97.36% of the distributed photovoltaic grid-connected power generation can be found to be abnormal. Inspired by this, the monitoring of photovoltaic power generation can be simplified to the monitoring of photovoltaic power generation current.

[0037] In a preferred embodiment, when the comparison result reaches the set threshold, specifically, when the absolute value of the difference between the sampled current value and the actual output current value divided by the actual output current value reaches 10%.

[0038] It should be noted that several factors that affect the monitoring results of distributed photovoltaic power generation current are comprehensively considered:

[0039] (1) There is a deviation in the output power of different types of photovoltaic panels. Photovoltaic power generation error tests were conducted on different types of photovoltaic panels with the same power (100W) at different times. The test results are shown in Table 1:

[0040] Table 1

[0041]

[0042] (2) There are deviations in the output power of photovoltaic panels of different service life. The statistical data from the test are shown in Table 2:

[0043] Table 2

[0044]

[0045] In summary, the reference error is 3.97%+5%=8.97%. A certain margin is retained, and the monitoring threshold is finally determined to be when the change in photovoltaic power generation current exceeds the actual measured value of the monitor by 10%, an early warning message is sent.

[0046] Preferably, the method is performed using a distributed photovoltaic power generation anomaly monitoring system, and the distributed photovoltaic power generation anomaly monitoring system includes a monitor and a remote receiving terminal;

[0047] like Figure 2 As shown, the specific structure of a monitoring instrument provided in this embodiment, the monitoring instrument comprises a box 1, a micro photovoltaic panel 2 installed on the box, a current sensor, a controller, and a wireless communication module installed in the box, and a current transformer 3 installed outside the box;

[0048] The micro photovoltaic power generation panel 2 is used to collect light energy, and is connected to the current sensor, which is used to collect the output current of the micro photovoltaic power generation panel as a sampled current value;

[0049] The current transformer 3 is used to collect the actual output current value of the distributed photovoltaic power generation equipment;

[0050] The controller is connected with the current sensor, the current transformer 3, and the wireless communication module, and is used to receive the sampled current value collected by the current sensor and the actual output current value collected by the current transformer 3, and compare them. If the comparison result reaches a set threshold, the wireless communication module is controlled to issue an early warning message;

[0051] The remote receiving terminal is used to receive the warning information.

[0052] In addition, if Figure 2As shown, an antenna 4 is also installed on the outside of the box 1, and the box can be made of plastic insulating material.

[0053] It also includes a power supply module installed in the box and used to supply power to the monitor.

[0054] The remote receiving terminal is a desktop computer, pad or mobile phone. When the set threshold is reached, the long-distance wireless communication technology is activated to automatically send the warning to the remote receiving terminal of the power staff on site. In addition, the distributed photovoltaic power generation abnormality monitoring system is small and portable, and can be installed and monitored with power on.

[0055] In addition, the system is made as follows:

[0056] 1. Micro photovoltaic panels are made of single crystal solar panels;

[0057] 2. The current sensor is made of ACS758 Hall current sensor; after the test is correct, connect the input end of the current sensor to the bottom of the micro photovoltaic panel and fix it;

[0058] 3. The current transformer is made of open-and-closed current transformer, which is located outside the box; after the test is correct, the current transformer is installed, and the current transformer is connected to the controller through wires. Preferably, spring-retractable wires are used to facilitate the adjustment of the length of the wires; the installation position is the collection bus of the photovoltaic inverter of the photovoltaic power generation equipment, generally the upper port of the circuit breaker;

[0059] 4. The wireless communication module is made of 4G DTU long-distance wireless communication module, which can be specifically as follows:

[0060] (1) Insert China Mobile SIM900A communication card;

[0061] (2) Assemble 4G DTU transparent wireless GSM / GPRS module chip circuit;

[0062] (3) Write a warning information program;

[0063] (4) Test and install the wireless communication module correctly;

[0064] 5. The controller is made of PLC controller, as follows:

[0065] (1) Design the PLC-S7-200-224XP control process;

[0066] (2) After the test is correct, connect the current sensor and current transformer to the input end of the PLC controller, and connect the wireless communication module to the output end of the PLC controller;

[0067] 6. Debug the remote receiving terminal;

[0068] 7. The power module is made of lithium-ion battery;

[0069] 8. Make a plastic box.

[0070] The system was tested on the distributed photovoltaic power generation equipment of 19 users and statistical analysis was performed.

[0071] Inspection results: Among the 19 selected photovoltaic access users, 16 households whose actual output current value on the photovoltaic power generation customer side exceeded the sampling current value of the monitor by less than 10% did not issue an early warning, and 3 households issued an early warning when the value exceeded 10%. The electricity monitoring staff quickly went to the site for inspection and confirmed that the 3 distributed photovoltaic power generation customers had abnormal photovoltaic power generation, and the use effect was good.

[0072] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

Claims

1. A distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison, characterized in that: The steps include: Step S1: collecting the output current of the micro photovoltaic power generation panel of the same source as the distributed photovoltaic power generation equipment as the sampled current value and the actual output current value of the distributed photovoltaic power generation equipment; Step S2: Compare the sampled current value with the actual output current value of the distributed photovoltaic power generation equipment, and issue a warning message if the comparison result reaches a set threshold.

2. A distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison according to claim 1, characterized in that: When the comparison result reaches the set threshold, specifically, when the result of the absolute value of the difference between the sampled current value and the actual output current value divided by the actual output current value reaches 10%.

3. The method for monitoring abnormality of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 1 is characterized in that: The method is performed using a distributed photovoltaic power generation anomaly monitoring system, wherein the distributed photovoltaic power generation anomaly monitoring system includes a monitoring instrument and a remote receiving terminal; The monitoring instrument includes a box, a micro photovoltaic power generation panel installed on the box, a current sensor, a controller, and a wireless communication module installed in the box, and a current transformer installed outside the box; The micro photovoltaic power generation panel is used to collect light energy, and is connected to the current sensor, and the current sensor is used to collect the output current of the micro photovoltaic power generation panel as a sampled current value; The current transformer is used to collect the actual output current value of the distributed photovoltaic power generation equipment; The controller is connected to the current sensor, current transformer, and wireless communication module, and is used to receive the sampled current value collected by the current sensor and the actual output current value collected by the current transformer, and compare them. If the comparison result reaches a set threshold, the wireless communication module is controlled to issue an early warning message; the remote receiving terminal is used to receive the early warning message.

4. A distributed photovoltaic power generation anomaly monitoring method based on homologous information correlation comparison according to claim 3, characterized in that: The micro photovoltaic power generation panel is a single crystal solar power generation panel.

5. The method for monitoring anomaly of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3 is characterized in that: The current sensor is an ACS758 Hall-type current sensor.

6. The method for monitoring anomalies of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3 is characterized in that: The current transformer is a split-type current transformer.

7. The method for monitoring anomalies of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3 is characterized in that: The wireless communication module is a 4G DTU long-distance wireless communication module.

8. The method for monitoring abnormality of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3 is characterized in that: The controller is a PLC controller.

9. The method for monitoring abnormality of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3 is characterized in that: It also includes a power supply module installed in the box and used to supply power to the monitor.

10. The method for monitoring abnormality of distributed photovoltaic power generation based on homologous information correlation comparison according to claim 3, characterized in that: The remote receiving terminal is a desktop computer, a pad or a mobile phone.

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