A data monitoring system for photovoltaic power generation

Abstract

The present invention discloses a data monitoring system for photovoltaic power generation, a data acquisition module: used to collect the electricity data of photovoltaic power generation, and then analyze the electricity data according to the acquisition range of the electricity data, and then set the standard threshold for collecting photovoltaic power generation. The present invention relates to the field of photovoltaic power generation monitoring technology. The data monitoring system for photovoltaic power generation analyzes the electricity data through the data acquisition module, sets the standard threshold for collecting photovoltaic power generation, and calculates the influence of weather into the power generation efficiency, so as to ensure the stability and accuracy of subsequent data statistics, and the abnormal analysis module determines the range of abnormal data according to the standard threshold of photovoltaic power generation, and can analyze the cause of abnormal data according to the range of abnormal data, so as to judge whether on-site maintenance is needed, save human resources, and make the intelligent degree of photovoltaic power generation data monitoring higher.

Description

Technical Field

[0001] The invention relates to the technical field of photovoltaic power generation monitoring, and in particular to a data monitoring system for photovoltaic power generation. Background Art

[0002] Energy has become a key factor in determining the development of today's society. Whether a country can efficiently and reasonably use the new energy that can be found everywhere directly determines the future development direction of the country. As an important member of new energy, solar energy has gradually come into the public eye. Its significant characteristics mainly include cleanliness, pollution-free, and easy access. It is these significant characteristics that make the use of solar energy gradually popular and develop into a trend in the field of new energy.

[0003] Photovoltaic power stations are mostly built in remote areas with relatively harsh environments, and it is not feasible to send people on duty. Although the existing photovoltaic power generation data monitoring system has overcome the problem of existing personnel on duty records and realized intelligent data monitoring, in the process of data collection, the data inaccuracy caused by weather influence is not calculated, resulting in partial errors in the subsequent calculation of photovoltaic power generation efficiency. In addition, after the photovoltaic power generation data is abnormal, maintenance personnel are required to conduct on-site maintenance to eliminate the abnormal problems. However, some of the data do not need to be repaired after the abnormalities occur, which wastes a lot of manpower. Therefore, the present invention proposes a data monitoring system for photovoltaic power generation to solve the above-mentioned problems. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a data monitoring system for photovoltaic power generation, which solves the problems mentioned in the above background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A data monitoring system for photovoltaic power generation, comprising: a data acquisition module, an abnormality analysis module, a fault troubleshooting module and a scheduling analysis module;

[0008] Data collection module: used to collect the power data of photovoltaic power generation, and then analyze the power data according to the acquisition range of the power data, and then set the standard threshold for collecting photovoltaic power generation, and send the collected power data to the abnormal analysis module. Among them, the acquisition range of power data is affected by the light time;

[0009] Abnormal analysis module: used to receive the power data sent by the data acquisition module, determine the range of abnormal data according to the standard threshold of photovoltaic power generation, analyze the cause of abnormal data according to the range of abnormal data, and send the analysis results to the statistical analysis module;

[0010] Fault troubleshooting module: used to receive the analysis results sent by the abnormal analysis module, and conduct troubleshooting based on the judgment basis to generate a maintenance report for the photovoltaic power station. The maintenance personnel go to the location for maintenance according to the maintenance report;

[0011] Scheduling analysis module: used to create charts of power data, analyze the advantages and disadvantages of photovoltaic power stations according to the charts, and then dispatch and allocate photovoltaic power generation equipment according to the advantages and disadvantages, and then analyze the saturation value of photovoltaic power generation equipment according to the growth trend of power data;

[0012] The specific method of analyzing the power data according to the acquisition range of the power data in the data acquisition module and then setting the standard threshold for collecting photovoltaic power generation is as follows:

[0013] S1: First, the photovoltaic power generation equipment in the power station is taken as a statistical base point and marked as S, and then the photovoltaic power generation equipment in S is marked as n, where n = 1, 2, ..., j, and the time threshold T is set. The sum of the power data generated within the time threshold T and within S is Sn, and then the floating threshold of the power data FSn is set, and then the standard threshold of photovoltaic power generation is preliminarily determined as: Q = Sn ± FSn;

[0014] S2: Then set the temperature perception threshold and mark it as W, and record the highest temperature obtained by the photovoltaic power generation equipment on that day and mark it as when When the date is RY, it is the effective record date and is marked as RY. When , it is an invalid record day and marked as WY, where T = RY + WY. At this time, refer to the calculation formula: in It is the standard threshold for final photovoltaic power generation.

[0015] As an improved technical solution, when setting the power data floating threshold FSn in S1, considering the influence of the day's sunshine time, the minimum standard sunshine time within the T time is set to h and the actual sunshine time is set to hi, referring to the calculation formula:

[0016] As an improved technical solution, in the calculation process of the power data floating threshold FSn, when hi>h, h-hi<0, then the above calculation formula does not hold, wherein FSn=0.

[0017] As an improved technical solution, the abnormal analysis module determines the range of abnormal data according to the standard threshold of photovoltaic power generation, and analyzes the cause of abnormal data according to the range of abnormal data in the specific manner as follows:

[0018] P1: First, according to the record in S2 is the final standard threshold of photovoltaic power generation. The current photovoltaic power generation value is marked as E. Then, the average value of the power generated by a single power generation device is calculated based on the total power data Sn and marked as L.

[0019] P2: When At this time, it is judged that the photovoltaic power generation equipment is partially blocked by dust. When E≥ At this time, the photovoltaic power generation equipment is normal. At this time, one or more photovoltaic power generation devices stop working.

[0020] As an improved technical solution, when it is determined in P2 that the photovoltaic power generation equipment is partially blocked by dust, maintenance can be carried out according to the schedule of the maintenance personnel. When it is determined in P2 that one or more photovoltaic power generation equipment has stopped working, the maintenance personnel are required to immediately go to the positioning point for maintenance.

[0021] As an improved technical solution, the troubleshooting module generates a maintenance report for the photovoltaic power station. When the maintenance personnel go to the location for maintenance according to the maintenance report, they search for the problem according to the prompts in the maintenance report. After the problem is found, the corresponding maintenance is carried out. There is no need to feedback the maintenance results. When the problem found is inconsistent with the maintenance report, feedback on the maintenance results is required.

[0022] As an improved technical solution, the scheduling and analysis module performs scheduling and allocation of photovoltaic power generation equipment according to advantages and disadvantages, and then analyzes the saturation value of photovoltaic power generation equipment according to the growth trend of power data in a specific manner as follows:

[0023] M1: Mark the power values ​​generated by several power stations as DS n , where n = 1, 2, ..., j, n is the serial number of the power station, set the time range and mark it as t0, within t0, the power stations with the highest to the lowest power values ​​are arranged in order and marked as A n , A n-1 , ..., A1, The photovoltaic equipment in the power station is moved to A n Inside;

[0024] M2: Get A at this time n The power value in the n Then get The power value in the n , when SA n -DS n >TA n -DS n At this time, the scheduling allocation is reasonable and has not reached the growth saturation state until SA n -DS n ≤TA n -DS n At this time, the growth trend reaches a saturation value.

[0025] As an improved technical solution, the power values ​​generated by several power stations are marked as DS in M1. n When dispatching, the power plants can be divided into several groups according to the regions and dispatched in groups.

[0026] As an improved technical solution, the method further includes a data storage module, which is used to store data from the data acquisition module, the abnormality analysis module, the fault troubleshooting module and the scheduling analysis module, and the data storage time can be set according to the operator.

[0027] (III) Beneficial effects

[0028] The present invention provides a data monitoring system for photovoltaic power generation. Compared with the prior art, it has the following beneficial effects:

[0029] The data monitoring system for photovoltaic power generation analyzes the electricity data through the data acquisition module, sets the standard threshold for collecting photovoltaic power generation, and calculates the impact of weather into the power generation efficiency, which can ensure the stability and accuracy of subsequent data statistics. The abnormal analysis module determines the range of abnormal data according to the standard threshold for photovoltaic power generation, and can analyze the cause of the abnormal data according to the range of abnormal data, so as to judge whether on-site maintenance is needed, save human resources, and make the photovoltaic power generation data monitoring more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The block diagram of the data monitoring system for photovoltaic power generation of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 , the embodiment of the present invention provides five technical solutions:

[0033] Embodiment 1: A data monitoring system for photovoltaic power generation, comprising:

[0034] Data acquisition module: used to collect the electricity data of photovoltaic power generation, and then analyze the electricity data according to the acquisition range of the electricity data, and then set the standard threshold for collecting photovoltaic power generation, and send the collected electricity data to the abnormal analysis module, where the acquisition range of the electricity data is affected by the illumination time; the specific method of analyzing the electricity data according to the acquisition range of the electricity data in the data acquisition module and then setting the standard threshold for collecting photovoltaic power generation is as follows: S1: First, the photovoltaic power generation equipment in the power station is taken as a statistical base point and marked as S, and then the photovoltaic power generation equipment in S is marked as n, where n = 1, 2, ..., j, and the time threshold T is set. The time threshold T can be one month, three months, half a year, etc. The total amount of electricity data generated within the time threshold T and within S is Sn, and then the floating threshold of electricity data FSn is set, and then the standard threshold of photovoltaic power generation is preliminarily determined as: Q = Sn ± FSn; S2: Then set the temperature perception threshold and mark it as W, and record the highest temperature obtained by the photovoltaic power generation equipment on that day and mark it as when When the date is RY, it is the effective record date and is marked as RY. When , it is an invalid record day and marked as WY, where T = RY + WY. At this time, refer to the calculation formula: in When setting the floating threshold FSn of power data in S1, considering the influence of the sunshine time of the day, the minimum standard sunshine time in T time is set to h and the actual sunshine time is set to hi, referring to the calculation formula: During the calculation of the floating threshold FSn of the power data, when hi>h, h-hi<0, then the above calculation formula does not hold, wherein FSn=0.

[0035] Combined with actual analysis, when the temperature obtained by photovoltaic power generation equipment At this time, it can be understood that the day is a normal day of sunshine, not a cloudy day. At this time, the sunshine data of the day can be counted. On the contrary, in a cloudy day, even if there may be some sunshine, the temperature is not high. At this time, data should not be recorded. This can ensure the stability and accuracy of subsequent data statistics. For example In the calculation, if the time is one month and 30 days are used, the invalid record day WY is 5 days, then

[0036] Abnormal analysis module: used to receive the power data sent by the data acquisition module, determine the range of abnormal data according to the standard threshold of photovoltaic power generation, analyze the cause of abnormal data according to the range of abnormal data, and send the analysis result to the statistical analysis module; the abnormal analysis module determines the range of abnormal data according to the standard threshold of photovoltaic power generation, and analyzes the cause of abnormal data according to the range of abnormal data. The specific method is as follows: P1: First, according to the record in S2 is the final standard threshold of photovoltaic power generation. The current photovoltaic power generation value is marked as E. Then, the average value of the power generated by a single power generation device is calculated based on the total power data Sn and marked as L. P2: When At this time, it is judged that the photovoltaic power generation equipment is partially blocked or dusty. At this time, the photovoltaic power generation equipment is normal. When P2 determines that one or more photovoltaic power generation equipment has stopped working, maintenance personnel can be carried out according to the schedule of maintenance personnel. When P2 determines that one or more photovoltaic power generation equipment has stopped working, maintenance personnel are required to go to the location point immediately for maintenance.

[0037] Embodiment 2: Embodiment 2 is based on Embodiment 1, and the difference from Embodiment 1 is that the fault troubleshooting module is used to receive the analysis results sent by the abnormal analysis module, and perform troubleshooting according to the judgment basis, generate a maintenance report for the photovoltaic power station, and the maintenance personnel go to the location for maintenance according to the maintenance report; the maintenance report for the photovoltaic power station is generated in the fault troubleshooting module, and when the maintenance personnel go to the location for maintenance according to the maintenance report, the maintenance personnel search for the problem according to the prompt of the maintenance report, and perform maintenance accordingly after finding the problem. The maintenance result does not need to be fed back. When the problem found is inconsistent with the maintenance report, the maintenance result feedback is required at this time. It also includes a data storage module, which is used to store data from the data acquisition module, the abnormal analysis module, the fault troubleshooting module and the scheduling analysis module, and the data storage time can be set according to the operator, and the storage time can be 1 year or 2 years.

[0038] Embodiment 3: This embodiment is based on Embodiment 1 and Embodiment 2, and the difference from Embodiment 1 and Embodiment 2 is that the scheduling analysis module is used to establish a chart of electricity data generation, analyze the advantages and disadvantages of photovoltaic power stations according to the chart, and then perform scheduling allocation of photovoltaic power generation equipment according to the advantages and disadvantages, and then analyze the saturation value of photovoltaic power generation equipment according to the growth trend of electricity data. The specific method of scheduling allocation of photovoltaic power generation equipment according to advantages and disadvantages and then analyzing the saturation value of photovoltaic power generation equipment according to the growth trend of electricity data in the scheduling analysis module is as follows: M1: Mark the electricity values ​​generated by several power stations as DS n , where n = 1, 2, ..., j, n is the serial number of the power station, set the time range and mark it as t0, within t0, the power stations with the highest to the lowest power values ​​are arranged in order and marked as A n , A n-1 , ..., A1, The photovoltaic equipment in the power station is moved to A n M2: Get A at this time n The power value in the n Then get The power value in the n , when SA n -DS n >TA n -DS n At this time, the scheduling allocation is reasonable and has not reached the growth saturation state until SA n -DS n ≤TA n -DS n When , the growth trend reaches the saturation value. In M1, the power values ​​generated by several power stations are marked as DS n When dispatching, the power plants can be divided into several groups according to the regions and dispatched in groups.

[0039] Combined with actual analysis, within the original regional division, for example, a power station has 200 photovoltaic panels. When the power generation value DS is obtained n After that, the data obtained can be different according to the location, that is, the area with good light and the area with poor light. In this way, some photovoltaic panels can be mobilized to the area with good light, and then according to the SA n -DS n >TA n -DS n Calculation, for example, the original A 20 The power generation value is 2000 degrees, then A 10 The power generation value is 1500 degrees. After the equipment is moved, A20 The power generation value is 2200 degrees, A 10 The power generation value is 1400 degrees, then SA n -DS n >TA n -DS n At this time, the scheduling allocation is reasonable and has not reached the growth saturation state, so scheduling can continue.

[0040] Embodiment 4: Compared with Embodiment 1, Embodiment 2 and Embodiment 3, the technical solution of this embodiment is to combine the solutions of Embodiment 1, Embodiment 2 and Embodiment 3 for implementation.

[0041] Embodiment 5: comprising: a data acquisition module, an abnormality analysis module, a fault troubleshooting module and a scheduling analysis module;

[0042] Data collection module: used to collect the power data of photovoltaic power generation, and then analyze the power data according to the acquisition range of the power data, and then set the standard threshold for collecting photovoltaic power generation, and send the collected power data to the abnormal analysis module. Among them, the acquisition range of power data is affected by the light time;

[0043] Abnormal analysis module: used to receive the power data sent by the data acquisition module, determine the range of abnormal data according to the standard threshold of photovoltaic power generation, analyze the cause of abnormal data according to the range of abnormal data, and send the analysis results to the statistical analysis module;

[0044] Fault troubleshooting module: used to receive the analysis results sent by the abnormal analysis module, and conduct troubleshooting based on the judgment basis to generate a maintenance report for the photovoltaic power station. The maintenance personnel go to the location for maintenance according to the maintenance report;

[0045] Scheduling analysis module: used to create charts of electricity data, analyze the advantages and disadvantages of photovoltaic power stations according to the charts, and then dispatch and allocate photovoltaic power generation equipment according to the advantages and disadvantages, and then analyze the saturation value of photovoltaic power generation equipment according to the growth trend of electricity data.

[0046] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0047] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0048] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A data monitoring system for photovoltaic power generation, characterized in that: include: Data acquisition module, abnormality analysis module, fault troubleshooting module and scheduling analysis module; Data collection module: used to collect the power data of photovoltaic power generation, and then analyze the power data according to the acquisition range of the power data, and then set the standard threshold for collecting photovoltaic power generation, and send the collected power data to the abnormal analysis module. Among them, the acquisition range of power data is affected by the light time; Abnormal analysis module: used to receive the power data sent by the data acquisition module, determine the range of abnormal data according to the standard threshold of photovoltaic power generation, analyze the cause of abnormal data according to the range of abnormal data, and send the analysis results to the statistical analysis module; Fault troubleshooting module: used to receive the analysis results sent by the abnormal analysis module, and conduct troubleshooting based on the judgment basis to generate a maintenance report for the photovoltaic power station. The maintenance personnel go to the location for maintenance according to the maintenance report; Scheduling analysis module: used to create charts of power data, analyze the advantages and disadvantages of photovoltaic power stations according to the charts, and then dispatch and allocate photovoltaic power generation equipment according to the advantages and disadvantages, and then analyze the saturation value of photovoltaic power generation equipment according to the growth trend of power data; The specific method of analyzing the power data according to the acquisition range of the power data in the data acquisition module and then setting the standard threshold for collecting photovoltaic power generation is as follows: S1: First, the photovoltaic power generation equipment in the power station is taken as a statistical base point and marked as S, and then the photovoltaic power generation equipment in S is marked as n, where n=1, 2, ..., j, and the time threshold T is set. The sum of the power data generated within the time threshold T and within S is Sn, and then the floating threshold of the power data FSn is set, and then the standard threshold of photovoltaic power generation is preliminarily determined as: Q=Sn±FSn; S2: Then set the temperature perception threshold and mark it as W, and record the highest temperature obtained by the photovoltaic power generation equipment on that day and mark it as ,when ≥W, it is a valid record day and is marked as RY. When <W, it is an invalid record day and marked as WY, where T=RY+WY. At this time, refer to the calculation formula: ,in It is the standard threshold for final photovoltaic power generation.

2. A data monitoring system for photovoltaic power generation according to claim 1, characterized in that: When setting the floating threshold FSn of the power data in S1, considering the influence of the sunshine time of the day, the minimum standard sunshine time within T time is set to h, and the actual sunshine time is set to hi, referring to the calculation formula: .

3. A data monitoring system for photovoltaic power generation according to claim 2, characterized in that: During the calculation of the power data floating threshold FSn, when hi>h, h-hi<0, then the above calculation formula does not hold, wherein FSn=0.

4. A data monitoring system for photovoltaic power generation according to claim 3, characterized in that: The specific method of determining the range of abnormal data according to the standard threshold of photovoltaic power generation in the abnormal analysis module and analyzing the cause of abnormal data according to the range of abnormal data is as follows: P1: First, according to the record in S2 is the final standard threshold of photovoltaic power generation. The current photovoltaic power generation value is marked as E. Then, the average value of the power generated by a single power generation device is calculated based on the total power data Sn and marked as L. ; P2: When ≥E≥ At this time, it is judged that the photovoltaic power generation equipment is partially blocked by dust. When E≥ At this time, the photovoltaic power generation equipment has no abnormality. When ≥E, one or more photovoltaic power generation equipment stops working.

5. A data monitoring system for photovoltaic power generation according to claim 4, characterized in that: When it is determined in P2 that the photovoltaic power generation equipment is partially blocked by dust, maintenance can be carried out according to the schedule of the maintenance personnel. When it is determined in P2 that one or more photovoltaic power generation equipment has stopped working, the maintenance personnel are required to immediately go to the positioning point for maintenance.

6. A data monitoring system for photovoltaic power generation according to claim 1, characterized in that: The troubleshooting module generates a maintenance report for the photovoltaic power station. When the maintenance personnel go to the location for maintenance according to the maintenance report, they search for the problem according to the prompts in the maintenance report. After the problem is found, they perform maintenance accordingly. There is no need to feedback the maintenance results. When the problem found is inconsistent with the maintenance report, feedback on the maintenance results is required.

7. A data monitoring system for photovoltaic power generation according to claim 1, characterized in that: The specific method of dispatching and allocating photovoltaic power generation equipment according to advantages and disadvantages in the dispatching and analysis module and then analyzing the saturation value of photovoltaic power generation equipment according to the growth trend of power data is as follows: M1: Mark the power values ​​generated by several power stations as DS n , where n=1, 2, ..., j, n is the serial number of the power station, set the time range and mark it as t0, within t0, the power stations with the highest to the lowest power values ​​are arranged in order and marked as A n , A n-1 , ..., A1, The photovoltaic equipment in the power station is moved to A n Inside; M2: Get A at this time n The power value in the n Then get The power value in the n , when SA n -DS n >TA n -DS n At this time, the scheduling allocation is reasonable and has not reached the growth saturation state until SA n -DS n ≤TA n -DS n At this time, the growth trend reaches a saturation value.

8. A data monitoring system for photovoltaic power generation according to claim 7, characterized in that: In M1, the power values ​​generated by several power stations are marked as DS n When dispatching, the power plants can be divided into several groups according to the regions and dispatched in groups.

9. A data monitoring system for photovoltaic power generation according to claim 1, characterized in that: It also includes a data storage module, which is used to store data from the data acquisition module, the abnormality analysis module, the fault troubleshooting module and the scheduling analysis module, and the data storage time can be set according to the operator.

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