Monitoring method and device for photovoltaic power generation system

Abstract

According to the monitoring method and device of the photovoltaic power generation system provided by the invention, the physical state of the photovoltaic panel is monitored based on the motion processing sensor, the electrical state of the photovoltaic system is monitored based on the electrical operation data analysis, and the working state of the photovoltaic power generation system is jointly monitored; potential problems such as frame separation, frame falling and abnormal vibration caused by working environment problems of the photovoltaic panel can be found in time, line invasion possibly generated under extreme working conditions is avoided, the problems of line breakage of the photovoltaic panel or string power reduction caused by a hot spot effect or plate surface overheating and the like are found in time while driving safety is guaranteed, energy scheduling is guaranteed, and the service life of the photovoltaic panel is prolonged. And the train energy use safety is ensured.

Description

Technical Field

[0001] The present disclosure relates to the technical field of integration of electrified transportation and new energy, and in particular to a monitoring method and device for a photovoltaic power generation system. Background Art

[0002] In the field of electrified transportation, my country has developed rapidly, and electricity has become the main energy type of the railway system. However, considering the energy structure of the power generation end, a large amount of electricity consumption will still lead to significant carbon emissions. Therefore, the introduction of clean energy such as photovoltaic power generation has become one of the important measures for reducing carbon emissions in railway operations. Photovoltaic power generation equipment is simple to install and construct, and convenient to maintain. At the same time, the light resources along the railway are abundant, and it has huge energy utilization potential. The wide distribution of roadbed slopes, reserved land, work workshops and living areas along the railway provides significant convenience for the layout of distributed photovoltaic power generation. Connecting photovoltaic power generation to the traction power supply system to supply power to the traction load can not only reduce the electrified railway's dependence on the single power supply of the traditional power system, but also help expand the space for the consumption of new energy.

[0003] At present, photovoltaic power generation systems are usually arranged along railway lines. However, the environment along the railway is relatively special. The areas where trains pass are often sparsely populated and open, accompanied by extreme weather conditions such as strong winds. In addition, when trains pass at high speed, ground vibrations and air turbulence will be caused. These factors can easily cause abnormal shaking of tilted photovoltaic panels, and may even cause them to fall off the rack or fall over. In severe cases, they may even invade the line and threaten driving safety. To deal with such problems, the existing technologies mainly use two methods: physical position change monitoring and electrical parameter change monitoring. Most of the physical position change monitoring methods use image recognition technology with high-definition cameras as carriers. The construction and maintenance costs are high, and it is difficult to detect small-amplitude hidden vibrations. Most of them can only identify overturning hazards. The electrical parameter change monitoring method is difficult to detect single-board faults or sporadic faults in the string, and is a passive protection method. In addition, the existing methods rarely consider dynamic adjustment of natural changes, so they cannot effectively deal with small-scale and sporadic abnormal situations.

[0004] In summary, the monitoring methods of photovoltaic power generation systems have certain limitations, and it is difficult to fully ensure the safe and stable operation of photovoltaic systems. Summary of the invention

[0005] The embodiments of the present disclosure provide a monitoring method and device for a photovoltaic power generation system, which are used to monitor the physical state of photovoltaic panels based on motion processing sensors, and to monitor the electrical state of the photovoltaic system based on electrical operation data analysis, so as to jointly monitor the working state of the photovoltaic power generation system.

[0006] In a first aspect, the present disclosure provides a method for monitoring a photovoltaic power generation system, the method comprising: a photovoltaic panel physical state monitoring method and an electrical state monitoring method; wherein the photovoltaic panel physical state monitoring method comprises:

[0007] S11, determining a safety physical operation threshold of a corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested;

[0008] S12, collecting real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is obtained by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested;

[0009] S13, determining the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, executing step S14; when the physical state is a normal physical state, executing step S15;

[0010] S14, issue an alarm;

[0011] S15, returning to step S12;

[0012] The electrical state monitoring method comprises:

[0013] S21, collecting real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested;

[0014] S22, determining a safe electrical operation threshold value of a corresponding category according to the real-time electrical operation data;

[0015] S23, determining the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, executing step S24; when the physical state is a normal physical state, executing step S25;

[0016] S24, issue an alarm;

[0017] S25, return to execute step S22.

[0018] In an exemplary embodiment, the physical operation data includes: X-axis acceleration data, Y-axis acceleration data, and Z-axis acceleration data; the step S11 includes:

[0019] At least 7 natural days before the photovoltaic panels are installed but not put into operation, collect the safety X-axis acceleration data, safety Y-axis acceleration data, and safety Z-axis acceleration data of the photovoltaic power generation system under normal operating conditions;

[0020] Based on the safe X-axis acceleration data, the safe Y-axis acceleration data, and the safe Z-axis acceleration data, the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are calculated respectively; the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are all the safe physical operation thresholds.

[0021] In an exemplary embodiment, the step S13 includes:

[0022] Determine whether the X-axis group range of the real-time X-axis acceleration data is greater than the X-axis acceleration range, and / or whether the Y-axis group range of the real-time Y-axis acceleration data is greater than the Y-axis acceleration range, and / or whether the Z-axis group range of the real-time Z-axis acceleration data is greater than the Z-axis acceleration range; if so, determine that the physical state of the photovoltaic power generation system to be tested is an abnormal physical state; if not, determine that the physical state of the photovoltaic power generation system to be tested is a normal physical state.

[0023] In an exemplary embodiment, the electrical operation data includes: current data and voltage data; the step S22 includes:

[0024] Collecting real-time current data of the photovoltaic power generation system in the t-1 period and real-time voltage data in the t-1 period;

[0025] Based on the real-time current data of the time period t-1 and the real-time voltage data of the time period t-1, the current extreme difference and the voltage extreme difference are calculated respectively; the current extreme difference and the voltage extreme difference are the safe electrical operation thresholds.

[0026] In an exemplary embodiment, step S23 includes:

[0027] Selecting real-time current data of the photovoltaic power generation system in period t and real-time voltage data in period t;

[0028] Determine whether the real-time current extreme difference of the real-time current data in time period t is greater than the current extreme difference, and / or whether the real-time voltage extreme difference of the real-time voltage data in time period t is greater than the voltage extreme difference; if so, determine that the electrical state of the photovoltaic power generation system to be tested is an abnormal electrical state; if not, determine that the electrical state of the photovoltaic power generation system to be tested is a normal electrical state.

[0029] In an exemplary embodiment, before returning to execute step S22, step S25 further includes:

[0030] The current extreme difference in the safe electrical operation threshold is replaced by the real-time current extreme difference, and the voltage extreme difference in the safe electrical operation threshold is replaced by the real-time voltage extreme difference.

[0031] In a second aspect, the present disclosure provides a monitoring device for a photovoltaic power generation system, including: a photovoltaic panel physical state monitoring device and an electrical state monitoring device; wherein the photovoltaic panel physical state monitoring device includes:

[0032] A safety physical operation threshold determination module is used to determine the safety physical operation threshold of the corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested;

[0033] A real-time physical operation data acquisition module is used to collect the real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is acquired by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested;

[0034] A physical state determination module, configured to determine the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, execute a first alarm module; when the physical state is a normal physical state, execute a first loop module;

[0035] A first alarm module, used for issuing an alarm;

[0036] A first loop module, used for returning to execute the real-time physical operation data acquisition module;

[0037] The electrical status monitoring device comprises:

[0038] A real-time electrical operation data acquisition module, used to acquire the real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is acquired by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested;

[0039] A safe electrical operation threshold determination module, used to determine the safe electrical operation threshold of the corresponding category according to the real-time electrical operation data;

[0040] An electrical state determination module, configured to determine the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, execute the second alarm module; when the physical state is a normal physical state, execute the second loop module;

[0041] A second alarm module, used for issuing an alarm;

[0042] The second loop module returns to execute the real-time electrical operation data acquisition module.

[0043] In a third aspect, the present disclosure provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method provided in the first aspect are executed.

[0044] In a fourth aspect, the present disclosure provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in the method provided in the first aspect are executed.

[0045] In a fifth aspect, the present disclosure provides a computer program product, comprising a computer program, which, when executed by a processor, runs the steps in the method provided in the first aspect above.

[0046] It can be seen from the above technical solutions that the present disclosure has the following advantages:

[0047] The present disclosure provides a monitoring method and device for a photovoltaic power generation system, the method comprising: a photovoltaic panel physical state monitoring method and an electrical state monitoring method; wherein the photovoltaic panel physical state monitoring method comprises: S11, determining the safety physical operation threshold of the corresponding category according to the acquired safety physical operation data of the photovoltaic power generation system to be tested; S12, collecting the real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is acquired by an operation processing sensor; the operation processing sensor is fixedly connected to the lowermost end of the back of each photovoltaic panel in the photovoltaic power generation system to be tested; S13, determining the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safety physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, executing step S14; when the physical state is a normal physical state, executing step S15. 15; S14, issue an alarm; S15, return to execute step S12; the electrical status monitoring method includes: S21, collecting real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string junction box of the photovoltaic power generation system to be tested; S22, according to the real-time electrical operation data, determine the safety electrical operation threshold of the corresponding category; S23, based on the real-time electrical operation data and the safety electrical operation threshold of the corresponding category, determine the electrical status of the photovoltaic power generation system to be tested; when the electrical status is an abnormal electrical status, execute step S24; when the physical status is a normal physical status, execute step S25; S24, issue an alarm; S25, return to execute step S22. By monitoring the physical state of photovoltaic panels based on motion processing sensors and the electrical state of photovoltaic systems based on electrical operation data analysis, the working state of photovoltaic power generation systems can be jointly monitored. This can promptly detect potential problems such as photovoltaic panels falling off the frame, falling over, and abnormal vibrations due to working environment problems, avoid line intrusions that may occur under extreme working conditions, and ensure driving safety. It can also promptly detect problems such as photovoltaic panel breakage or string power reduction caused by hot spot effects or overheating of the panels, thereby ensuring energy scheduling and ensuring the safety of train energy use. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0049] Figure 1One of the step flow charts of the photovoltaic power generation system monitoring method provided by the first embodiment of the present disclosure is exemplarily shown;

[0050] Figure 2 The second step flow chart of the photovoltaic power generation system monitoring method provided by the first embodiment of the present disclosure is exemplarily shown;

[0051] Figure 3 One of the structural block diagrams of the monitoring device for a photovoltaic power generation system provided by the second embodiment of the present disclosure is exemplarily shown;

[0052] Figure 4 The second structural block diagram of the monitoring device for the photovoltaic power generation system provided by the second embodiment of the present disclosure is exemplarily shown;. DETAILED DESCRIPTION

[0053] The embodiments of the present disclosure provide a monitoring method and device for a photovoltaic power generation system, which are used to monitor the physical state of photovoltaic panels based on motion processing sensors, and to monitor the electrical state of the photovoltaic system based on electrical operation data analysis, so as to jointly monitor the working state of the photovoltaic power generation system.

[0054] In order to make the purpose, features, and advantages of the invention disclosed in the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in 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.

[0055] Embodiment 1

[0056] See also Figure 1 and Figure 2 , Figure 1 One of the step flow charts of the photovoltaic power generation system monitoring method provided in the first embodiment of the present disclosure is exemplarily shown. Figure 2 The second step flow chart of the photovoltaic power generation system monitoring method provided by the first embodiment of the present disclosure is exemplarily shown, which is a photovoltaic panel physical state monitoring method and an electrical state monitoring method; wherein the photovoltaic panel physical state monitoring method includes:

[0057] S11, determining a safety physical operation threshold of a corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested;

[0058] It should be noted that the embodiments of the present application are mainly aimed at the operation detection of the photovoltaic power generation system for railways. The types of physical operation data include: X-axis acceleration data, Y-axis acceleration data, and Z-axis acceleration data.

[0059] In an embodiment of the present application, at least 7 natural days after the photovoltaic panels are installed but before they are put into operation, the safe X-axis acceleration data, the safe Y-axis acceleration data, and the safe Z-axis acceleration data of the photovoltaic power generation system under normal operating conditions are collected, and then based on the safe X-axis acceleration data, the safe Y-axis acceleration data, and the safe Z-axis acceleration data, the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are calculated respectively; the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are all the safe physical operation thresholds.

[0060] In the specific implementation, the acquired safety X-axis acceleration data, safety Y-axis acceleration data, and safety Z-axis acceleration data are respectively constructed into corresponding data groups, totaling three data groups, and then the range of each data group is calculated respectively, and the range of variation of the extreme safe operation physical data of each group is recorded, and the range of each data group is recorded as the safe physical operation threshold.

[0061] S12, collecting real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is obtained by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested;

[0062] In the embodiment of the present application, the motion processing sensor is specifically a three-axis accelerometer, which is connected to each other through a parallel power supply method. The motion processing sensor is at the bottom of the back of each photovoltaic panel and communicates with the host computer. The host computer can read the real-time physical operation data including real-time X three-axis acceleration data, real-time Y three-axis acceleration data, and real-time Z three-axis acceleration data sent back by the three-axis accelerometer in real time. Among them, the collection period of real-time physical operation data is recorded once every 10 consecutive sampling periods.

[0063] S13, determining the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, executing step S14; when the physical state is a normal physical state, executing step S15;

[0064] In an embodiment of the present application, it is determined whether the X-axis group range of the real-time X-axis acceleration data is greater than the X-axis acceleration range, and / or whether the Y-axis group range of the real-time Y-axis acceleration data is greater than the Y-axis acceleration range, and / or whether the Z-axis group range of the real-time Z-axis acceleration data is greater than the Z-axis acceleration range; if so, it is determined that the physical state of the photovoltaic power generation system to be tested is an abnormal physical state; if not, it is determined that the physical state of the photovoltaic power generation system to be tested is a normal physical state.

[0065] S14, issue an alarm;

[0066] S15, returning to step S12;

[0067] In the embodiment of the present application, when the physical state of the photovoltaic power generation system to be tested is judged to be an abnormal physical state, the host computer issues an alarm. When the physical state of the photovoltaic power generation system to be tested is judged to be a normal physical state, the host computer does not issue an alarm and returns to execute step S12.

[0068] The electrical state monitoring method comprises:

[0069] S21, collecting real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested;

[0070] It should be noted that the electrical operation data includes: current data and voltage data.

[0071] S22, determining a safe electrical operation threshold value of a corresponding category according to the real-time electrical operation data;

[0072] In an embodiment of the present application, by collecting real-time current data of the photovoltaic power generation system in the t-1 period and the real-time voltage data in the t-1 period, the current extreme difference and the voltage extreme difference are calculated based on the real-time current data in the t-1 period and the real-time voltage data in the t-1 period; the current extreme difference and the voltage extreme difference are the safe electrical operation thresholds.

[0073] In the specific implementation, the collection process of electrical operation data in the t-1 period is as follows: the host computer collects and saves the real-time current data sent back by the DC current transformer, and records it as an array every 5 consecutive minutes, which is recorded as the current array. The host computer collects and saves the real-time voltage data sent back by the DC voltage transformer, and records it as an array every 5 consecutive minutes, which is recorded as the voltage array.

[0074] After obtaining the current array and voltage array, the current extreme difference and voltage extreme difference are calculated respectively and recorded as the safe electrical operation threshold.

[0075] S23, determining the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, executing step S24; when the physical state is a normal physical state, executing step S25;

[0076] In the embodiment of the present application, after determining the safe electrical operation threshold, the real-time electrical operation data transmitted back by the voltage and current transformer of the photovoltaic power generation system to be tested for every 5 consecutive minutes is selected from the real-time electrical operation data, and recorded as the real-time electrical operation data of the t period. Then, it is determined whether the real-time current extreme difference of the real-time current data of the t period is greater than the current extreme difference, and / or whether the real-time voltage extreme difference of the real-time voltage data of the t period is greater than the voltage extreme difference; if so, it is determined that the electrical state of the photovoltaic power generation system to be tested is an abnormal electrical state; if not, it is determined that the electrical state of the photovoltaic power generation system to be tested is a normal electrical state.

[0077] S24, issue an alarm;

[0078] S25, return to execute step S22.

[0079] In the embodiment of the present application, when the electrical state of the photovoltaic power generation system to be tested is judged to be an abnormal electrical state, the host computer issues an alarm. When the electrical state of the photovoltaic power generation system to be tested is judged to be a normal electrical state, the host computer does not issue an alarm and returns to execute step S22.

[0080] In an optional embodiment, before returning to execute step S22, step S25 further includes:

[0081] The current extreme difference in the safety electrical operation threshold is replaced by the real-time current extreme difference, and the voltage extreme difference in the safety electrical operation threshold is replaced by the real-time voltage extreme difference.

[0082] In the embodiment of the present application, when it is determined that the electrical state of the photovoltaic power generation system to be tested is a normal electrical state, the real-time electrical operation data of the t period is saved and the original real-time electrical operation data of the t-1 period is replaced, and then the safety electrical operation threshold is updated based on the replaced safety electrical operation data, that is, the saved real-time electrical operation data of the t period. In other words, whether it is the real-time electrical operation data of the t-1 period or the real-time electrical operation data of the t period, they are updated one by one according to the electrical operation state.

[0083] A monitoring method for a photovoltaic power generation system provided by an embodiment of the present disclosure includes: a photovoltaic panel physical state monitoring method and an electrical state monitoring method; wherein the photovoltaic panel physical state monitoring method includes: S11, determining the safety physical operation threshold of the corresponding category based on the acquired safety physical operation data of the photovoltaic power generation system to be tested; S12, collecting the real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is obtained by an operation processing sensor; the operation processing sensor is fixedly connected to the lowermost end of the back of each photovoltaic panel in the photovoltaic power generation system to be tested; S13, determining the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safety physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, executing step S14; when the physical state is a normal physical state, executing step S1 5; S14, issuing an alarm; S15, returning to execute step S12; the electrical status monitoring method includes: S21, collecting real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string junction box of the photovoltaic power generation system to be tested; S22, determining the safety electrical operation threshold of the corresponding category according to the real-time electrical operation data; S23, determining the electrical status of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safety electrical operation threshold of the corresponding category; when the electrical status is an abnormal electrical status, executing step S24; when the physical status is a normal physical status, executing step S25; S24, issuing an alarm; S25, returning to execute step S22. By monitoring the physical state of photovoltaic panels based on motion processing sensors and the electrical state of photovoltaic systems based on electrical operation data analysis, the working state of photovoltaic power generation systems can be jointly monitored. This can promptly detect potential problems such as photovoltaic panels falling off the frame, falling over, and abnormal vibrations due to working environment problems, avoid line intrusions that may occur under extreme working conditions, and ensure driving safety. It can also promptly detect problems such as photovoltaic panel breakage or string power reduction caused by hot spot effects or overheating of the panels, thereby ensuring energy scheduling and ensuring the safety of train energy use.

[0084] Embodiment 2

[0085] See also Figure 3 and Figure 4 , Figure 3 One of the structural block diagrams of the monitoring device for the photovoltaic power generation system provided by the second embodiment of the present disclosure is exemplarily shown. Figure 4 The second structural block diagram of the monitoring device of the photovoltaic power generation system provided by the second embodiment of the present disclosure is exemplarily shown, and the device includes: a photovoltaic panel physical state monitoring device and an electrical state monitoring device; wherein the photovoltaic panel physical state monitoring device includes:

[0086] The safety physical operation threshold determination module 301 is used to determine the safety physical operation threshold of the corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested;

[0087] A real-time physical operation data acquisition module 302 is used to collect real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is acquired by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested;

[0088] A physical state determination module 303 is used to determine the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, execute the first alarm module; when the physical state is a normal physical state, execute the first loop module;

[0089] A first alarm module 304, configured to issue an alarm;

[0090] The first loop module 305 is used to return to execute the real-time physical operation data acquisition module;

[0091] The electrical status monitoring device comprises:

[0092] A real-time electrical operation data acquisition module 401 is used to acquire real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested;

[0093] A safe electrical operation threshold determination module 402 is used to determine a safe electrical operation threshold of a corresponding category according to the real-time electrical operation data;

[0094] The electrical state determination module 403 is used to determine the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, execute the second alarm module; when the physical state is a normal physical state, execute the second loop module;

[0095] A second alarm module 404, configured to issue an alarm;

[0096] The second loop module 405 returns to execute the real-time electrical operation data acquisition module.

[0097] In an exemplary embodiment, the physical operation data includes: X-axis acceleration data, Y-axis acceleration data, and Z-axis acceleration data; the safe physical operation threshold determination module 301 includes:

[0098] The safety data acquisition submodule is used to collect the safety X-axis acceleration data, safety Y-axis acceleration data, and safety Z-axis acceleration data of the photovoltaic power generation system under normal operating conditions at least 7 natural days after the photovoltaic panel is installed but before it is put into operation;

[0099] The safe physical operation threshold determination submodule is used to calculate the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range based on the safe X-axis acceleration data, the safe Y-axis acceleration data, and the safe Z-axis acceleration data; the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are all the safe physical operation thresholds.

[0100] In an exemplary embodiment, the physical state determination module 303 is specifically used to:

[0101] Determine whether the X-axis group range of the real-time X-axis acceleration data is greater than the X-axis acceleration range, and / or whether the Y-axis group range of the real-time Y-axis acceleration data is greater than the Y-axis acceleration range, and / or whether the Z-axis group range of the real-time Z-axis acceleration data is greater than the Z-axis acceleration range; if so, determine that the physical state of the photovoltaic power generation system to be tested is an abnormal physical state; if not, determine that the physical state of the photovoltaic power generation system to be tested is a normal physical state.

[0102] In an exemplary embodiment, the electrical operation data includes: current data and voltage data; the safe electrical operation threshold determination module 402 includes:

[0103] The first real-time acquisition submodule is used to collect the real-time current data of the photovoltaic power generation system in the t-1 period and the real-time voltage data in the t-1 period;

[0104] The safety electrical operation threshold determination submodule is used to calculate the current extreme difference and the voltage extreme difference respectively based on the real-time current data of the t-1 period and the real-time voltage data of the t-1 period; the current extreme difference and the voltage extreme difference are the safety electrical operation thresholds.

[0105] In an exemplary embodiment, the electrical state determination module 403 includes:

[0106] The second real-time acquisition submodule is used to select the real-time current data of the photovoltaic power generation system in the period t, and the real-time voltage data in the period t;

[0107] A judgment submodule is used to judge whether the real-time current extreme difference of the real-time current data in time period t is greater than the current extreme difference, and / or whether the real-time voltage extreme difference of the real-time voltage data in time period t is greater than the voltage extreme difference; if so, it is determined that the electrical state of the photovoltaic power generation system to be tested is an abnormal electrical state; if not, it is determined that the electrical state of the photovoltaic power generation system to be tested is a normal electrical state.

[0108] In an exemplary embodiment, the second loop module 205 further includes:

[0109] The replacement submodule is used to replace the current extreme difference in the safe electrical operation threshold with the real-time current extreme difference, and to replace the voltage extreme difference in the safe electrical operation threshold with the real-time voltage extreme difference.

[0110] Embodiment 3

[0111] An embodiment of the present disclosure further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of a photovoltaic power generation system monitoring method of any embodiment.

[0112] Embodiment 4

[0113] The embodiments of the present disclosure further provide a computer storage medium having a computer program stored thereon. When the computer program is executed by the processor, the steps of a method for monitoring a photovoltaic power generation system in any embodiment are implemented.

[0114] Embodiment 5

[0115] The embodiments of the present disclosure further provide a computer program product having a computer program stored thereon, and when the computer program is executed by the processor, the steps of a method for monitoring a photovoltaic power generation system according to any embodiment are implemented.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0117] In the several embodiments provided in the present application, it should be understood that the methods, devices, electronic devices and storage media disclosed in the present disclosure can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a readable storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned readable storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0121] As described above, the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for monitoring a photovoltaic power generation system, characterized in that: The method includes: a photovoltaic panel physical state monitoring method and an electrical state monitoring method; wherein the photovoltaic panel physical state monitoring method includes: S11, determining a safety physical operation threshold of a corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested; S12, collecting real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is obtained by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested; S13, determining the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, executing step S14; when the physical state is a normal physical state, executing step S15; S14, issue an alarm; S15, returning to step S12; The electrical state monitoring method comprises: S21, collecting real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is obtained by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested; S22, determining a safe electrical operation threshold value of a corresponding category according to the real-time electrical operation data; S23, determining the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, executing step S24; when the physical state is a normal physical state, executing step S25; S24, issue an alarm; S25, return to execute step S22.

2. The photovoltaic power generation system monitoring method according to claim 1, characterized in that: The physical operation data includes: X-axis acceleration data, Y-axis acceleration data, and Z-axis acceleration data; the step S11 includes: At least 7 natural days before the photovoltaic panels are installed but not put into operation, collect the safety X-axis acceleration data, safety Y-axis acceleration data, and safety Z-axis acceleration data of the photovoltaic power generation system under normal operating conditions; Based on the safe X-axis acceleration data, the safe Y-axis acceleration data, and the safe Z-axis acceleration data, the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are calculated respectively; the X-axis acceleration range, the Y-axis acceleration range, and the Z-axis acceleration range are all the safe physical operation thresholds.

3. The photovoltaic power generation system monitoring method according to claim 2, characterized in that: The step S13 comprises: Determine whether the X-axis group range of the real-time X-axis acceleration data is greater than the X-axis acceleration range, and / or whether the Y-axis group range of the real-time Y-axis acceleration data is greater than the Y-axis acceleration range, and / or whether the Z-axis group range of the real-time Z-axis acceleration data is greater than the Z-axis acceleration range; if so, determine that the physical state of the photovoltaic power generation system to be tested is an abnormal physical state; if not, determine that the physical state of the photovoltaic power generation system to be tested is a normal physical state.

4. The photovoltaic power generation system monitoring method according to claim 1, characterized in that: The electrical operation data includes: current data and voltage data; the step S22 includes: Collecting real-time current data of the photovoltaic power generation system in the t-1 period and real-time voltage data in the t-1 period; Based on the real-time current data of the time period t-1 and the real-time voltage data of the time period t-1, the current extreme difference and the voltage extreme difference are calculated respectively; the current extreme difference and the voltage extreme difference are the safe electrical operation thresholds.

5. The photovoltaic power generation system monitoring method according to claim 4, characterized in that: The step S23 comprises: Selecting real-time current data of the photovoltaic power generation system in period t and real-time voltage data in period t; Determine whether the real-time current extreme difference of the real-time current data in time period t is greater than the current extreme difference, and / or whether the real-time voltage extreme difference of the real-time voltage data in time period t is greater than the voltage extreme difference; if so, determine that the electrical state of the photovoltaic power generation system to be tested is an abnormal electrical state; if not, determine that the electrical state of the photovoltaic power generation system to be tested is a normal electrical state.

6. The photovoltaic power generation system monitoring method according to claim 5, characterized in that: Before returning to step S22, step S25 further includes: The current extreme difference in the safe electrical operation threshold is replaced by the real-time current extreme difference, and the voltage extreme difference in the safe electrical operation threshold is replaced by the real-time voltage extreme difference.

7. A monitoring device for a photovoltaic power generation system, characterized in that: include: Photovoltaic panel physical state monitoring device and electrical state monitoring device; wherein, the photovoltaic panel physical state monitoring device comprises: A safety physical operation threshold determination module is used to determine the safety physical operation threshold of the corresponding category according to the obtained safety physical operation data of the photovoltaic power generation system to be tested; A real-time physical operation data acquisition module is used to collect the real-time physical operation data of the photovoltaic power generation system to be tested; the real-time physical operation data is acquired by an operation processing sensor; the operation processing sensor is fixedly connected to the bottom of the back of each photovoltaic panel in the photovoltaic power generation system to be tested; A physical state determination module, configured to determine the physical state of the photovoltaic power generation system to be tested based on the real-time physical operation data and the safe physical operation threshold of the corresponding category; when the physical state is an abnormal physical state, execute a first alarm module; when the physical state is a normal physical state, execute a first loop module; A first alarm module, used for issuing an alarm; A first loop module, used for returning to execute the real-time physical operation data acquisition module; The electrical status monitoring device comprises: A real-time electrical operation data acquisition module, used to acquire the real-time electrical operation data of the photovoltaic power generation system to be tested; the real-time electrical operation data is acquired by a DC current transformer and a DC voltage transformer; the DC current transformer and the DC voltage transformer are installed at the output end of each string combiner box of the photovoltaic power generation system to be tested; A safe electrical operation threshold determination module, used to determine the safe electrical operation threshold of the corresponding category according to the real-time electrical operation data; An electrical state determination module, configured to determine the electrical state of the photovoltaic power generation system to be tested based on the real-time electrical operation data and the safe electrical operation threshold of the corresponding category; when the electrical state is an abnormal electrical state, execute the second alarm module; when the physical state is a normal physical state, execute the second loop module; A second alarm module, used for issuing an alarm; The second loop module returns to execute the real-time electrical operation data acquisition module.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 6 is executed.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is executed.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

Images