An intelligent control system for a solar power generation device

Abstract

The present invention discloses an intelligent control system for a solar power generation device. The present invention relates to the technical field of power generation device control, and solves the technical problem of analyzing its discharge and energy storage aspects, calculating the energy efficiency and performing reasonable classification, so as to achieve in-depth evaluation and optimized management of the device performance. By screening other devices based on the power generation conditions of abnormal devices, the present invention can accurately determine whether the abnormality is caused by external conditions or internal hardware problems, providing strong support for quickly solving device failures, reducing the troubleshooting time, improving the availability of the device and the stability of the power generation system. At the same time, by analyzing from both the discharge and energy storage aspects, calculating the energy efficiency and performing secondary classification, in-depth evaluation of the device performance is achieved. Considering various factors such as charging voltage, discharge voltage, and Coulomb efficiency, the depth of discharge of the device is accurately calculated, providing more accurate data for the management and control of the device.

Description

Technical Field

[0001] The present invention relates to the technical field of power generation equipment control, and particularly to an intelligent control system for solar power generation equipment. Background Art

[0002] With the wide application of solar power generation technology, the number and scale of solar power generation equipment are continuously increasing. Solar photovoltaic power generation has the advantages of inexhaustible resources, simple energy conversion process, no pollution, no noise, and stable and reliable operation. However, in the prior art, the photovoltaic power generation situation cannot be effectively monitored, and solar power generation equipment is affected by weather conditions, lacking precise control over solar photovoltaic power generation equipment.

[0003] The patent application with the publication number CN116131755A discloses an intelligent control system and method for solar power generation equipment. The power generation equipment control system includes a customer database, a power generation information acquisition module, a customer identification verification module, a power generation amount comparison module, and a microservice call monitoring module. The customer database is used to store the photovoltaic power generation information of customers within a historical period, and the photovoltaic power generation information includes the photovoltaic power generation amount and the customer identification. The power generation information acquisition module is used to receive the photovoltaic power generation information within the current period transmitted by the client. The customer identification verification module is used to verify the customer identification transmitted by the power generation information acquisition module. The power generation amount comparison module is used to compare the photovoltaic power generation amount within the current period with the average value of the photovoltaic power generation amount of this customer within the historical period. When the photovoltaic power generation amount within the current period is less than the average value of the photovoltaic power generation amount within the historical period, the microservice call monitoring module is commanded to monitor the photovoltaic power generation situation of this customer.

[0004] Traditional management methods for solar power generation equipment often rely on manual monitoring and simple control systems, making it difficult to obtain the operation parameters of the equipment in real time and accurately, and unable to efficiently analyze and judge the operation status of the equipment. For normally operating solar power generation equipment, how to analyze its discharge and energy storage aspects, calculate the energy efficiency, and conduct reasonable classification, so as to achieve in-depth evaluation and optimized management of the equipment performance. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an intelligent control system for solar power generation equipment, which solves the problems of analyzing its discharge and energy storage aspects, calculating the energy efficiency, and conducting reasonable classification, so as to achieve in-depth evaluation and optimized management of the equipment performance.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An intelligent control system for solar power generation equipment, comprising:

[0007] The power generation equipment status analysis module is used to identify the operating status of the solar power generation equipment according to the operating parameters transmitted by the power generation equipment operation parameter acquisition module, generate a status identification result, and transmit the normal operation result in the status identification result to the equipment normal analysis and processing module, and transmit the abnormal operation result in the status identification result to the equipment abnormal operation processing module;

[0008] The equipment abnormal analysis and processing module is used to analyze the obtained abnormal operation result, determine the abnormal cause of the solar energy equipment by analyzing the solar power generation equipment under the same conditions, generate abnormal cause information, and transmit it to the intelligent control output module at the same time;

[0009] The equipment normal analysis and processing module is used to analyze the solar power generation equipment corresponding to the normal operation result, analyze the power generation and energy storage of the solar power generation equipment, calculate the energy efficiency corresponding to the solar power generation equipment, perform secondary classification on the solar power generation equipment according to the energy efficiency to obtain specific analysis information, and transmit the secondary analysis signal in the specific analysis information to the comprehensive analysis and processing module, and transmit the warning signal in the specific analysis information to the intelligent control output module;

[0010] The comprehensive analysis and processing module is used to analyze the obtained secondary analysis signal, calculate the corresponding depth of discharge according to the standard energy efficiency of the normal power generation equipment, generate depth of discharge information, and transmit the depth of discharge information to the intelligent control output module.

[0011] As a further solution of the present invention, an intelligent control system for a solar power generation equipment further includes:

[0012] The power generation equipment operation parameter acquisition module is used to acquire the operation parameters of the solar power generation equipment corresponding to the power station, and transmit the acquired operation parameters to the power generation equipment status analysis module at the same time;

[0013] The intelligent control output module is used to display the obtained abnormal cause information and depth of discharge information to the corresponding operator.

[0014] As a further solution of the present invention, the specific way for the power generation equipment status analysis module to generate a status identification result is:

[0015] Obtain the solar power generation equipment and label it as i, and i = 1, 2,..., j, where j represents the number of solar power generation equipment, then obtain the operation parameters of the solar power generation equipment, and obtain the corresponding output power Gi out , and the obtained output power Gi out is compared with the preset value. If the output power Gi outIf it is greater than the preset value, it indicates that the corresponding solar power generation device is operating normally, and a normal operation result is generated. Conversely, if the output power Gi out is less than the preset value, it indicates that the corresponding solar power generation device is operating abnormally, and an abnormal operation result is generated.

[0016] As a further solution of the present invention, the specific manner in which the device abnormal analysis and processing module analyzes the abnormal operation result is as follows:

[0017] The solar power generation device corresponding to the abnormal operation result is obtained and denoted as the abnormal analysis device. At the same time, the power generation conditions corresponding to the abnormal analysis device are obtained and denoted as the conditions to be analyzed. The operating states of all solar power generation devices are obtained with the conditions to be analyzed as the standard;

[0018] If there is a solar power generation device corresponding to the abnormal operation result, the condition to be analyzed is marked as an abnormal condition, and at the same time, abnormal condition information is generated. Conversely, if there is no solar power generation device corresponding to the abnormal operation result, it indicates that the condition to be analyzed is normal, and internal abnormal cause information is generated.

[0019] As a further solution of the present invention, the specific manner in which the device normal analysis and processing module analyzes the solar device corresponding to the normal operation result is as follows:

[0020] The solar power generation device corresponding to the normal operation result is obtained and marked as the normal power generation device. Then, the discharge records corresponding to the normal power generation device are obtained. At the same time, the discharge depth corresponding to the discharge record is obtained, and the discharge record corresponding to the abnormal discharge depth is obtained and marked as the abnormal record. Then, the abnormal record is numbered as a, and a = 1, 2,..., b, where b represents the number of abnormal records. At the same time, the abnormal record a is classified according to the discharge depth, the discharge depth corresponding to the abnormal record a is obtained, and the discharge depth is matched with the corresponding classification interval. The matched results are sorted out to obtain discharge classification information, and the obtained discharge classification information is processed.

[0021] As a further solution of the present invention, the specific manner in which the device normal analysis and processing module processes the discharge classification information is as follows:

[0022] Any set of discharge classification information is obtained as the analysis target. All abnormal records within the analysis target are obtained, and the energy efficiency corresponding to the discharge depth of the abnormal record is obtained. At the same time, the average value of all energy efficiencies within the analysis target is calculated and denoted as the average energy efficiency. The obtained average energy efficiency is used as the standard energy efficiency of the analysis target. By analogy, the average energy efficiencies corresponding to all discharge classification information are calculated;

[0023] Sort the obtained discharge classification information from largest to smallest, and generate a standard energy efficiency based on the average energy efficiency corresponding to the smallest discharge classification information. Then, use the standard energy efficiency as the energy efficiency of the current normal power generation device, and compare the standard energy efficiency with the energy efficiency standard;

[0024] If the standard energy efficiency is greater than the energy efficiency standard, generate a secondary analysis signal and mark the corresponding normal power generation device as a secondary analysis device. Conversely, if the standard energy efficiency is less than the energy efficiency standard, generate a warning signal and transmit the warning signal to the intelligent control output module.

[0025] As a further solution of the present invention, the specific manner in which the comprehensive analysis and processing module analyzes the secondary analysis signal is as follows:

[0026] Obtain the normal power generation device corresponding to the secondary analysis signal and label it as n, where n = 1, 2,..., m, and m represents the number of normal power generation devices. Then, obtain the standard energy efficiency corresponding to the normal power generation device , obtain the rated power Qn corresponding to the normal power generation device n during the charging process rated , the charging power En in =V×Qn rated , the discharge energy En during the discharge process out =V×Qn discharged , where Qn discharged is the power discharged by the normal power generation device. Then, according to the formula ;

[0027] At the same time, combine the coulomb efficiency of the energy storage system for comprehensive calculation, and then calculate the depth of discharge for the charging voltage and discharge voltage conditions corresponding to the normal power generation device.

[0028] As a further solution of the present invention, the specific manner in which the comprehensive analysis and processing module calculates the depth of discharge based on the charging voltage and discharge voltage conditions corresponding to the normal power generation device is as follows:

[0029] When the charging voltage and discharge voltage of the normal power generation device are the same, then according to the formula calculate the depth of discharge DODn;

[0030] When the charging voltage and discharge voltage of the normal power generation device are different, obtain the charging voltage Vn in and the discharge voltage Vn out , as well as the corresponding charging power and discharge power En in and En out , and substitute the obtained parameters into the formula calculate the depth of discharge DODn, and at the same time generate depth of discharge information and transmit it to the intelligent control output module.​

[0031] The present invention provides an intelligent control system for a solar power generation device. Compared with the prior art, it has the following beneficial effects:

[0032] By setting up an operating parameter acquisition module and a device status analysis module for the power generation device, the present invention can obtain real-time operating parameters such as voltage, power, current, and output power of the solar power generation device, and quickly and accurately identify the operating status of the device;

[0033] The device anomaly analysis and processing module screens other devices based on the power generation conditions of the abnormal device through a unique analysis process, and can accurately determine whether the anomaly is caused by external conditions or internal hardware problems, providing strong support for quickly solving device failures, reducing the troubleshooting time, and improving the availability of the device and the stability of the power generation system.

[0034] The device normal analysis and processing module analyzes the normally operating devices from two aspects of discharging and energy storage, calculates the energy efficiency and conducts secondary classification, realizing a deep evaluation of the device performance. This refined management helps to tap the potential of the device, optimize the device operation, and improve the power generation efficiency and economic benefits.

[0035] The comprehensive analysis and processing module accurately calculates the depth of discharge of the device considering various factors such as charging voltage, discharging voltage, and coulomb efficiency, providing more accurate data for the management and control of the device, and helping to formulate more reasonable device operation strategies and maintenance plans. Brief Description of the Drawings

[0036] Figure 1 It is a block diagram of the system principle of the present invention. Detailed Embodiments

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] Embodiment 1. Please refer to Figure 1 , this application provides an intelligent control system for a solar power generation device, including an operating parameter acquisition module for the power generation device, a device status analysis module, a device anomaly analysis and processing module, a device normal analysis and processing module, a comprehensive analysis and processing module, and an intelligent control output module, and there is a one-way electrical connection between the above functional modules.

[0039] Power generation equipment operation parameter acquisition module, which is used to acquire the operation parameters of the solar power generation equipment corresponding to the power station. The acquired operation parameters include voltage, power consumption, current, and output power, and at the same time, the acquired operation parameters are transmitted to the power generation equipment status analysis module.

[0040] Power generation equipment status analysis module, which is used to identify the operation status of the solar power generation equipment according to the acquired operation parameters, generate a status identification result, and transmit the normal operation result in the status identification result to the equipment normal analysis and processing module, and transmit the abnormal operation result in the status identification result to the equipment abnormal operation processing module.

[0041] Obtain the solar power generation equipment and label it as i, and i = 1, 2,..., j, where j represents the number of solar power generation equipment. Then obtain the operation parameters of the solar power generation equipment, and at the same time obtain the corresponding output power Gi out , and the obtained output power Gi out is compared with a preset value, and the specific value of the preset value is set by the operator. If the output power Gi out is greater than the preset value, it means that the corresponding solar power generation equipment is operating normally, and a normal operation result is generated. On the contrary, if the output power Gi out is less than the preset value, it means that the corresponding solar power generation equipment is operating abnormally, and an abnormal operation result is generated.

[0042] Equipment abnormal analysis and processing module, which is used to analyze the obtained abnormal operation result. By analyzing the solar power generation equipment under the same conditions, determine the abnormal cause of the solar equipment, generate abnormal cause information, and transmit it to the intelligent control output module at the same time.

[0043] The solar power generation equipment corresponding to the abnormal operation result is obtained and recorded as the abnormal analysis equipment. At the same time, the power generation conditions corresponding to the abnormal analysis equipment are obtained and recorded as the conditions to be analyzed. And the operation status of all solar power generation equipment is obtained with the conditions to be analyzed as the standard. Specifically, here all solar power generation equipment corresponding to the same conditions to be analyzed are obtained. If there is solar power generation equipment corresponding to the abnormal operation result, the conditions to be analyzed are marked as abnormal conditions, and at the same time, abnormal condition information is generated. On the contrary, if there is no solar power generation equipment corresponding to the abnormal operation result, it means that the conditions to be analyzed are normal, and internal abnormal cause information is generated.

[0044] Suppose there is a power station composed of 10 solar power generation devices. One day, the output power of device 3 and device 7 decreased abnormally, and they were marked as devices for abnormal analysis. For device 3, the power generation conditions obtained were light intensity of 300 W / m², ambient temperature of 38 °C, tilt angle of the solar panel of 15 °, and wind speed of 5 m / s; for device 7, the power generation conditions were light intensity of 300 W / m², ambient temperature of 38 °C, tilt angle of the solar panel of 15 °, and wind speed of 6 m / s. Since most of the conditions were similar, the light intensity of 300 W / m², ambient temperature of 38 °C, and tilt angle of the solar panel of 15 ° were determined as the conditions to be analyzed. Taking these conditions to be analyzed as the standard, all 10 devices were screened, and it was found that device 1, device 4, and device 9 were also in the working conditions of light intensity of 300 W / m², ambient temperature of 38 °C, and tilt angle of the solar panel of 15 ° at the current moment. Further inspection found that the output power of device 4 also decreased abnormally. At this time, the system determined that the conditions to be analyzed were abnormal conditions and generated an abnormal condition information report:

[0045] Abnormal condition parameters: light intensity of 300 W / m², ambient temperature of 38 °C, tilt angle of the solar panel of 15 °;

[0046] Device numbers involved in the abnormality: 3, 4, 7;

[0047] Description of the abnormal phenomenon: Under this condition, the output power of the device is significantly lower than the normal level.

[0048] If the operating states of device 1, device 4, and device 9 are all normal during the screening process, the system will generate an internal abnormal cause information report, prompting an internal hardware inspection of device 3 and device 7, such as checking whether there are hidden cracks in the solar panel and whether the inverter is faulty.

[0049] Intelligent control output module, which is used to display the obtained abnormal cause information to the corresponding operator.

[0050] Embodiment 2, this embodiment is implemented on the basis of Embodiment 1, and the differences from Embodiment 1 are as follows:

[0051] Device normal analysis and processing module, which is used to analyze the solar power generation devices corresponding to the normal operation results. By analyzing the power generation and energy storage of the solar power generation devices, calculating the energy efficiency corresponding to the solar power generation devices, classifying the solar power generation devices secondarily according to the energy efficiency to obtain specific analysis information, and at the same time transmitting the secondary analysis signal in the specific analysis information to the comprehensive analysis and processing module, and transmitting the warning signal in the specific analysis information to the intelligent control output module.

[0052] Obtain the solar power generation equipment corresponding to the normal operation result and mark it as the normal power generation equipment. Then, obtain the discharge records corresponding to the normal power generation equipment, and at the same time obtain the discharge depth corresponding to the discharge records. Specifically, the discharge depth refers to the percentage of the electricity discharged by the battery within a certain period of time to its rated capacity. For example, for a battery with a rated capacity of 100 Ah, if 50 Ah of electricity is discharged, then the discharge depth at this time is 50÷100×100% = 50%. And obtain the discharge records corresponding to the abnormal discharge depth and mark them as abnormal records. Then, number the abnormal records as a, and a = 1, 2, …, b, where b represents the number of abnormal records. At the same time, classify the abnormal records a according to the discharge depth, and the specific classification method is: obtain the discharge depth corresponding to the abnormal record a, and match the discharge depth with the corresponding classification interval, and the classification interval represents different degrees of discharge depth. Organize the matching results to obtain the discharge classification information; for example, classify the discharge depth to obtain the shallow abnormal discharge depth interval (70% - 80%), the medium abnormal discharge depth interval (81% - 90%), and the deep abnormal discharge depth interval (91% - 100%).

[0053] Then, obtain the discharge classification information. At the same time, obtain any group of discharge classification information as the analysis target, obtain all the abnormal records within the analysis target, and the abnormal records obtained here are the abnormal records of the same type. And obtain the energy efficiency of the discharge depth corresponding to the abnormal records, where the energy efficiency refers to the ratio of the energy output during battery discharge to the energy input during charging. At the same time, calculate the average value of all the energy efficiencies within the analysis target and record it as the mean energy efficiency. Take the obtained mean energy efficiency as the standard energy efficiency of the analysis target, and calculate the mean energy efficiencies corresponding to all the discharge classification information by analogy;

[0054] Sort the obtained discharge classification information from largest to smallest. Here, from largest to smallest means sorting according to the discharge depth from largest to smallest. For example, sort from 90% (the largest) to 70% (the smallest). At the same time, generate the standard energy efficiency based on the mean energy efficiency corresponding to the smallest discharge classification information, and take the standard energy efficiency as the energy efficiency of the current normal power generation equipment. Then, compare the standard energy efficiency with the energy efficiency standard;

[0055] If the standard energy efficiency is greater than the energy efficiency standard, generate a secondary analysis signal, and at the same time mark the corresponding normal power generation equipment as the secondary analysis equipment. On the contrary, if the standard energy efficiency is less than the energy efficiency standard, generate a warning signal and transmit the warning signal to the intelligent control output module.

[0056] Comprehensive analysis and processing module, which is used to analyze the obtained secondary analysis signal, calculate the corresponding depth of discharge according to the standard energy efficiency of normal power generation equipment, generate depth of discharge information, and transmit the depth of discharge information to the intelligent control output module.

[0057] Obtain the normal power generation equipment corresponding to the secondary analysis signal and label it as n, where n = 1, 2, …, m, and m represents the number of normal power generation equipment. Then obtain the standard energy efficiency corresponding to the normal power generation equipment , obtain the rated power Qn corresponding to the normal power generation equipment n during the charging process rated , the charging power En in = V × Qn rated , the discharge energy En during the discharge process out = V × Qn discharged , where Qn discharged is the power discharged by the normal power generation equipment. Then according to the formula ;

[0058] At the same time, comprehensive calculation is carried out in combination with the coulomb efficiency of the energy storage system. The coulomb efficiency refers to the ratio of the output charge amount during the discharge process to the input charge amount during the charging process. Specifically , then judge the charging voltage and discharge voltage corresponding to the normal power generation equipment. If the two are the same, then according to the formula Calculate the depth of discharge DODn;

[0059] For example, in the case where the charging voltage and discharge voltage are the same, the energy efficiency = 80%, and the coulomb efficiency CE = 90%. Then according to the formula, the corresponding depth of discharge DoD = 88.9% is calculated.

[0060] If the two are different, then obtain the charging voltage Vn in and the discharge voltage Vn out , as well as the corresponding charging power and discharge power En in and En out , and substitute the obtained parameters into the formula Calculate the depth of discharge DODn, generate depth of discharge information at the same time, and transmit it to the intelligent control output module.

[0061] For example, if the energy efficiency = 75%, and the coulomb efficiency CE = 85%, where the charging voltage Vn in = 5V, and the discharge voltage Vn out = 4.5V, then according to the formula, the corresponding depth of discharge DoD = 88.9% is calculated.

[0062] Intelligent control output module, which is used to display the obtained depth of discharge information to the corresponding operator.

[0063] Embodiment 3. As the third embodiment of the present invention, the key lies in combining the implementation processes of Embodiment 1 and Embodiment 2.

[0064] Some of the data in the above formula are taken for numerical calculation with their dimensions, and the content not described in detail in this specification belongs to the prior art well known to those skilled in the art.

[0065] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for solar power generation equipment, characterized in that: include: The power generation equipment state analysis module is used to identify the operation state of the solar power generation equipment according to the operation parameters transmitted by the power generation equipment operation parameter acquisition module, generate a state identification result, and transmit the normal operation result in the state identification result to the equipment normal analysis processing module, and transmit the abnormal operation result in the state identification result to the equipment abnormal operation processing module; The equipment abnormality analysis processing module is used to analyze the abnormal operation results obtained, obtain the solar power generation equipment corresponding to the abnormal operation results and record them as abnormal analysis equipment, and at the same time obtain the power generation conditions corresponding to the abnormal analysis equipment and record them as conditions to be analyzed, and obtain the operating status of all solar power generation equipment based on the conditions to be analyzed; If there is a solar power generation device corresponding to an abnormal operation result, the condition to be analyzed is marked as an abnormal condition, and abnormal condition information is generated. Conversely, if there is no solar power generation device corresponding to an abnormal operation result, it means that the condition to be analyzed is normal, and internal abnormal cause information is generated; The equipment normal analysis and processing module is used to analyze the solar power generation equipment corresponding to the normal operation results, analyze the discharge and energy storage of the solar power generation equipment, calculate the energy efficiency of the solar power generation equipment, and perform secondary classification of the solar power generation equipment according to the energy efficiency to obtain specific analysis information. At the same time, the secondary analysis signal in the specific analysis information is transmitted to the comprehensive analysis and processing module, and the early warning signal in the specific analysis information is transmitted to the intelligent control output module; The comprehensive analysis and processing module is used to analyze the acquired secondary analysis signal, calculate the corresponding discharge depth according to the standard energy efficiency of the normal power generation equipment, generate the discharge depth information, and transmit the discharge depth information to the intelligent control output module.

2. According to claim 1, a solar power generation equipment intelligent control system is characterized in that: Also includes: The power generation equipment operating parameter acquisition module is used to acquire the operating parameters of the solar power generation equipment corresponding to the power station, and transmit the acquired operating parameters to the power generation equipment status analysis module; The intelligent control output module is used to display the acquired abnormal cause information and discharge depth information to the corresponding operator.

3. The intelligent control system for solar power generation equipment according to claim 1, characterized in that: The specific method for the power generation equipment state analysis module to generate the state identification result is: Get the solar power generation equipment and label it as i, where i=1, 2, ..., j, where j represents the number of solar power generation equipment, then get the operating parameters of the solar power generation equipment and get the corresponding output power Gi out , and the obtained output power Gi out Compared with the preset value, if the output power Gi out If the output power Gi is greater than the preset value, it indicates that the corresponding solar power generation equipment is operating normally and generates normal operation results. out If it is less than the preset value, it indicates that the operating status of the corresponding solar power generation equipment is abnormal, and an abnormal operating result is generated.

4. The intelligent control system for solar power generation equipment according to claim 1, characterized in that: The specific method in which the normal equipment analysis and processing module analyzes the solar equipment corresponding to the normal operating result is: The solar power generation equipment corresponding to the normal operation result is obtained and marked as a normal power generation equipment. Then, the discharge record corresponding to the normal power generation equipment is obtained, and the discharge depth corresponding to the discharge record is obtained. The discharge record corresponding to the abnormal discharge depth is obtained and marked as an abnormal record. Then, the abnormal record is labeled as a, and a=1, 2, ..., b, where b represents the number of abnormal records. At the same time, the abnormal record a is classified according to the discharge depth, the discharge depth corresponding to the abnormal record a is obtained, and the discharge depth is matched with the corresponding classification interval. The matching results are sorted to obtain discharge classification information, and the obtained discharge classification information is processed.

5. The intelligent control system for solar power generation equipment according to claim 4, characterized in that: The specific method in which the normal analysis and processing module of the device processes the discharge classification information is as follows: Taking any set of discharge classification information as the analysis target, obtaining all abnormal records within the analysis target, and obtaining the energy efficiency of the discharge depth corresponding to the abnormal records, and calculating the average value of all energy efficiencies within the analysis target as the mean energy efficiency, and taking the obtained mean energy efficiency as the standard energy efficiency of the analysis target, and calculating the mean energy efficiency corresponding to all discharge classification information in this way; The obtained discharge classification information is sorted from large to small, and the standard energy efficiency is generated based on the mean energy efficiency corresponding to the minimum discharge classification information, and the standard energy efficiency is used as the energy efficiency of the current normal power generation equipment, and then the standard energy efficiency is compared with the energy efficiency standard; If the standard energy efficiency is greater than the energy efficiency standard, a secondary analysis signal is generated, and the corresponding normal power generation equipment is marked as a secondary analysis equipment. Conversely, if the standard energy efficiency is less than the energy efficiency standard, an early warning signal is generated and transmitted to the intelligent control output module.

6. The intelligent control system for solar power generation equipment according to claim 1, characterized in that: The specific method in which the comprehensive analysis processing module analyzes the secondary analysis signal is as follows: The normal power generation equipment corresponding to the secondary analysis signal is obtained and labeled as n, where n = 1, 2, ..., m, where m represents the number of normal power generation equipment, and then the standard energy efficiency η corresponding to the normal power generation equipment is obtained. n , obtain the rated power Qn corresponding to the normal power generation equipment n during the charging process rated , charging capacity En in =V×Qn rated , discharge energy En during discharge out =V×Qn discharged , where Qn discharged is the amount of electricity discharged by normal power generation equipment, then according to the formula At the same time, a comprehensive calculation is performed based on the Coulomb efficiency of the energy storage system, and then the discharge depth is calculated for the charging voltage and discharge voltage corresponding to the normal power generation equipment.

7. The intelligent control system for solar power generation equipment according to claim 6, characterized in that: The specific method in which the comprehensive analysis and processing module calculates the discharge depth according to the charging voltage and discharging voltage corresponding to the normal power generation equipment is: When the charging voltage and discharging voltage of a normal power generation device are the same, according to the formula The discharge depth DODn is calculated; When the charging voltage and discharging voltage of the normal power generation equipment are different, the charging voltage Vn is obtained. in and discharge voltage Vn out , and the corresponding charging and discharging power En in and En out , and substitute the obtained parameters into the formula The discharge depth DODn is calculated and the discharge depth information is generated and transmitted to the intelligent control output module.

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