Zero-carbon lighthouse factory solar energy conversion quality detection system based on photovoltaic technology

Abstract

The invention discloses a photovoltaic technology-based solar energy conversion quality detection system for a zero-carbon lighthouse factory, and particularly relates to the field of energy management and monitoring. Comprising a system central processor module, a system operation database, a user information terminal, an intelligent cleaning detection module, a shadow detection module, a photovoltaic power generation information acquisition module, a data standardization processing module, a factory solar power generation comprehensive analysis module, a factory solar power generation comprehensive judgment module and an interactive feedback module. Multiple performance indexes and service life fault information of key equipment such as an inverter, a solar cell panel and an energy storage battery are comprehensively collected, four dimensions of equipment performance, reliability, economical efficiency and system operation are covered, and detailed data support is provided for solar energy conversion quality detection of a zero-carbon lighthouse factory.

Description

Technical Field

[0001] The present invention relates to the field of energy management and monitoring technology, and more specifically, to a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology. Background Art

[0002] Zero-carbon lighthouse factories specifically refer to those factories that are committed to reducing or eliminating carbon emissions while achieving efficient production. Such factories have achieved low-carbon or even zero-carbon production processes by adopting clean energy, optimizing energy efficiency, and implementing circular economy. In this context, photovoltaic panel arrays, as front-end equipment for solar energy conversion, play a vital role in zero-carbon lighthouse factories.

[0003] Photovoltaic panel arrays are laid on the roof of the factory or on the surrounding open space to convert solar energy into direct current electricity, providing clean and renewable energy supply for the factory. This energy supply method not only helps reduce the factory's dependence on traditional fossil energy and reduce carbon emissions, but also helps to improve the factory's energy self-sufficiency rate and energy efficiency. At the same time, the application of photovoltaic panel arrays is also an important manifestation of the zero-carbon lighthouse factory in terms of sustainable development and environmental protection.

[0004] In the zero-carbon lighthouse factory, the solar energy conversion quality detection system is a key link in ensuring the quality and efficiency of photovoltaic products. By detecting and monitoring each link in the solar energy conversion process, potential problems can be discovered and solved in a timely manner to ensure the stability and reliability of the product. An efficient solar energy conversion quality detection system can optimize the production process, improve production efficiency and reduce production costs. At the same time, through the analysis and mining of detection data, it can also provide strong support for the continuous improvement and innovation of products.

[0005] However, there are still some shortcomings in its actual use. For example, the existing technology lacks consideration of the working state of photovoltaic modules when detecting the quality of solar energy conversion, and cannot guarantee the stability of the current working state of photovoltaic modules. As a result, the collected data is too much interference and not accurate enough, and cannot reflect the true working efficiency of the current photovoltaic equipment. At the same time, the collected data is too single, which makes it difficult to accurately judge the overall situation of the solar energy conversion quality of the zero-carbon lighthouse factory. In addition, the current monitoring of the solar energy conversion system of the zero-carbon lighthouse factory is mainly judged by a single dimension, such as the performance status parameters of the equipment, and lacks comprehensive indicators. If monitoring is only carried out from a single dimension, the impact on equipment reliability, equipment economy and the overall operating status of the system is ignored, which in turn affects the ultimate practicality, work quality and efficiency of the solar energy conversion quality detection system of the zero-carbon lighthouse factory. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology, comprising a system central processing unit module, a system operation database, a user information terminal, an intelligent cleaning detection module, a shadow detection module, an energy management module, a photovoltaic power generation information collection module, a data standardization processing module, a factory solar power generation comprehensive analysis module, a factory solar power generation comprehensive judgment module and an interactive feedback module.

[0008] Preferably, the system operation database includes all data texts of a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology, and collects information texts output by each module in real time. The system central processor module is used to centrally control the information text instructions output by each module, and the user information terminal is an information output device for receiving a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology; The intelligent cleaning detection module is used to transmit the transmittance data of the photovoltaic device to the photovoltaic module controller through the distributed transmittance sensor, and compare the transmittance data with the reference data threshold value under the pre-set cleaning state. When the cleanliness of the surface of the photovoltaic module is lower than the set threshold, the system automatically issues a cleaning reminder and arranges the equipment to be cleaned; The shadow detection module transmits the collected light intensity data to the photovoltaic module controller through the distributed light sensor. The photovoltaic module controller compares the light intensity data of different photovoltaic module areas, selects the photovoltaic module area where the light intensity is significantly lower than the average value of other areas by more than 30%, determines that there may be shadows in the area, and outputs the judgment result to the user information terminal to remind the staff to adjust the angle of the photovoltaic module or change the position of the photovoltaic module; The photovoltaic power generation information collection module includes a solar energy equipment performance information collection unit, an equipment reliability information collection unit, an equipment economic information collection unit, and a system overall operation information collection unit. The module is used to collect data from the solar energy conversion system to obtain comprehensive parameters and output the comprehensive parameters to the data standardization processing module; The data standardization processing module is used to standardize the collected data. Since the measurement units of various indicators may be different, the collected data is standardized by Z-score to eliminate the effect of dimension influence and output the processed comprehensive parameters to the factory solar power generation comprehensive analysis module; The factory solar power generation comprehensive judgment module is used to compare the solar power generation comprehensive quality index with the preset value and input the comparison result into the interactive feedback module; The interactive feedback module is used to import the comparison result into the administrator terminal, and when the comparison result of the solar power generation comprehensive quality index is lower than the preset value, an alarm will be issued to the administrator's equipment.

[0009] Preferably, when the shadow detection module determines that there may be a shadow in the area, the system adjusts the angle of the photovoltaic modules in the area so that the light intensity in the area reaches the average value. If this cannot be achieved, the user information terminal is used to remind the staff to change the position of the photovoltaic modules; Preferably, the distributed light sensor specifically refers to arranging sensors on the surface of the photovoltaic module according to a 0.5m×0.5m grid point, and the area of ​​1m×1m centered on each grid point is the coverage area of ​​the sensor; Preferably, the specific method for acquiring the comprehensive parameters in the photovoltaic power generation information collection module is as follows: Comprehensive parameters refer to inverter harmonic content parameters, inverter power factor parameters, inverter conversion efficiency parameters, solar panel open circuit voltage parameters, solar panel short circuit current parameters, solar panel fill factor parameters, solar panel temperature coefficient parameters, solar panel life parameters, solar panel failure rate parameters, inverter life parameters, inverter failure rate parameters, energy storage battery life parameters, energy storage battery failure rate parameters, energy storage battery SOC parameters, energy storage battery charging power parameters, energy storage battery discharging power parameters, three-phase current imbalance parameters, system energy efficiency ratio parameters, three-phase voltage imbalance parameters, investment cost parameters, and operating cost parameters.

[0010] The inverter harmonic content parameter refers to the inverter harmonic content ; The inverter power factor parameter refers to the inverter power factor ; The inverter conversion efficiency parameter refers to the inverter conversion efficiency ; The solar panel open circuit voltage parameter refers to the solar panel open circuit voltage ; The solar panel short-circuit current parameter refers to the solar panel short-circuit current ; The solar panel filling factor parameter refers to the solar panel filling factor ; The solar panel temperature coefficient parameter refers to the solar panel temperature coefficient ; The solar panel life parameter refers to the solar panel life ; The solar panel failure rate parameter refers to the solar panel failure rate ; The inverter life parameter refers to the inverter life ; The inverter failure rate parameter refers to the inverter failure rate ; The energy storage battery life parameter refers to the energy storage battery life ; The energy storage battery failure rate parameter refers to the energy storage battery failure rate ; The energy storage battery SOC parameter refers to the energy storage battery SOC value ; The energy storage battery charging power parameter refers to the energy storage battery charging power ; The energy storage battery discharge power parameter refers to the energy storage battery discharge power ; The three-phase current unbalance parameter refers to the three-phase current unbalance ; The system energy efficiency ratio parameter refers to the system energy efficiency ratio ; The three-phase voltage unbalance parameter refers to the three-phase voltage unbalance ; The investment cost parameter refers to the investment cost ; The operating cost parameter refers to the operating cost .

[0011] Preferably, the inverter harmonic content parameter specifically refers to: the proportion of non-fundamental wave components in the inverter output voltage and current. These non-fundamental wave components include harmonic components of various frequencies, which will affect the stability of the power grid and the normal operation of other equipment.

[0012] Preferably, the inverter power factor parameter specifically refers to: the ratio of the active power (P) output by the inverter to the apparent power (S).

[0013] Preferably, the solar cell panel fill factor parameter specifically refers to: the fill factor refers to the ratio of the product of the current and voltage of the solar cell panel at maximum output power to the product of the short-circuit current and open-circuit voltage.

[0014] Preferably, the three-phase current imbalance parameter specifically refers to: Three-phase current imbalance = (maximum current - minimum current) / maximum current.

[0015] Preferably, the system energy efficiency ratio parameter specifically refers to: Energy efficiency ratio = total power generation (or total output energy) / total input energy.

[0016] Preferably, the mathematical model of the equipment performance coefficient is as follows: = + + ,in Refers to the equipment performance coefficient, Refers to the harmonic content of the inverter, Refers to the inverter power factor, Refers to the inverter conversion efficiency, Refers to the open circuit voltage of the solar panel. Refers to the short-circuit current of the solar panel. Refers to the solar panel fill factor, Refers to the solar panel temperature coefficient, Refers to the SOC value of the energy storage battery. Refers to the charging power of the energy storage battery. Refers to the discharge power of the energy storage battery. , They respectively refer to the average charging and discharging power of this type of energy storage batteries in the industry.

[0017] Preferably, the mathematical model of the equipment reliability coefficient is as follows: = ,in Refers to the equipment reliability coefficient, Refers to the life of solar panels, Refers to the failure rate of solar panels, Refers to the inverter life, Refers to the inverter failure rate, Refers to the life of the energy storage battery, Refers to the failure rate of energy storage batteries.

[0018] Preferably, the mathematical model of the equipment economic coefficient is as follows: = + ,in Refers to the equipment economic coefficient, Refers to investment cost, Refers to operating costs.

[0019] Preferably, the mathematical model of the overall operating state coefficient of the system is as follows: = ,in Refers to the overall operating status coefficient of the system, Refers to the three-phase current imbalance. Refers to the system energy efficiency ratio, Refers to the three-phase voltage unbalance.

[0020] Preferably, the mathematical model of the solar power generation comprehensive quality index is as follows: = ,in Refers to the comprehensive quality index of solar power generation. Refers to the equipment performance coefficient, Refers to the equipment reliability coefficient, Refers to the equipment economic coefficient, Refers to the overall operating status coefficient of the system, , , , Refers to the weight coefficient.

[0021] Preferably, the weight coefficient , , , It is calculated by the entropy method, and the specific calculation steps of the entropy method are as follows: Data standardization: Since the measurement units of various indicators may be different, in order to eliminate the impact of the dimension, the collected data needs to be standardized. Commonly used standardization methods include Z-score standardization and range method standardization; Calculate the proportion of indicators: Calculate the proportion of the i-th sample value under the j-th indicator to the sum of all sample values ​​of the indicator. This step is the basis for the subsequent calculation of information entropy; Calculate information entropy: According to the definition and calculation formula of information entropy, calculate the information entropy ej of the jth indicator. The smaller the information entropy, the greater the degree of variation of the indicator and the greater the amount of information provided; Calculate information entropy redundancy: Information entropy redundancy dj is the complement of information entropy, that is, dj = 1 - ej. The greater the information entropy redundancy, the more information the indicator contains, and the greater the impact on the comprehensive evaluation; Calculate weight: Calculate the weight of each indicator in the comprehensive evaluation according to its information entropy redundancy. The weight coefficient is the ratio of the information entropy redundancy of each indicator to the sum of the information entropy redundancy of all indicators.

[0022] Preferably, the preset value is a warning value for evaluating the equipment performance, equipment reliability, equipment economy and the overall operating status of the solar energy conversion system of the zero-carbon lighthouse factory based on industry practical experience. When the comprehensive quality index of solar power generation in the target area is lower than the preset value, it means that the equipment performance, equipment reliability, equipment economy and the overall operating status of the system in the area are poor, and corresponding measures need to be taken to reduce risks.

[0023] Preferably, when the comparison result of the interactive feedback module is lower than a preset value, the system will trigger an alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window, and provide relevant parameters, and use artificial intelligence to help management personnel analyze the reasons affecting the comprehensive quality index of solar power generation, and further track down specific aspects affecting the comprehensive performance, such as poor equipment performance, low equipment reliability, low equipment economy and poor overall system operation status.

[0024] Technical effects and advantages of the present invention: 1. The present invention collects information on inverter harmonic content, inverter power factor, inverter conversion efficiency, solar panel open circuit voltage, solar panel short circuit current, solar panel fill factor, solar panel temperature coefficient, solar panel life, solar panel failure rate, inverter life, inverter failure rate, energy storage battery life, energy storage battery failure rate, energy storage battery SOC, energy storage battery charging power, energy storage battery discharging power, three-phase current imbalance information, system energy efficiency ratio information, three-phase voltage imbalance information, investment cost information, and operating cost information, covering four aspects of the equipment performance information, equipment reliability information, equipment economy information, and overall system operation information of the solar energy conversion quality detection system of the zero-carbon lighthouse factory, thereby providing a more comprehensive and detailed monitoring means for the overall performance of the solar energy conversion quality detection system of the zero-carbon lighthouse factory; 2. The present invention establishes a mathematical model through in-depth analysis of the collected data, which can comprehensively measure the overall situation of the solar energy conversion quality of the zero-carbon lighthouse factory. By establishing such a comprehensive model, the present invention can better measure the overall effect of the solar energy conversion quality detection system of the zero-carbon lighthouse factory from different dimensions. This comprehensive evaluation method can more comprehensively understand the solar energy conversion quality, equipment reliability, economy and overall operation of the zero-carbon lighthouse factory, thereby improving the overall work efficiency and quality of the solar energy conversion quality detection system of the zero-carbon lighthouse factory; 3. The present invention uses an intelligent cleaning detection module and a shadow detection module to enable the photovoltaic module to timely eliminate the influence of some external factors on the working efficiency of the photovoltaic module, thereby ensuring the stability of the working efficiency of the photovoltaic module and enabling the data collected by the system to more truly reflect the true solar energy conversion efficiency of the photovoltaic module. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention; Figure 2 It is a schematic diagram of the structure of the photovoltaic power generation information collection module of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] As attached Figure 1 The solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology is shown, including a system central processor module, a system operation database, a user information terminal, an intelligent cleaning detection module, a shadow detection module, a photovoltaic power generation information collection module, a data standardization processing module, a factory solar power generation comprehensive analysis module, a factory solar power generation comprehensive judgment module and an interactive feedback module.

[0028] The system operation database includes all data texts of a solar energy conversion quality detection system of a zero-carbon lighthouse factory based on photovoltaic technology, and collects information texts output by each module in real time. The system central processor module is used to centrally control the information text instructions output by each module, and the user information terminal is an information output device for receiving a solar energy conversion quality detection system of a zero-carbon lighthouse factory based on photovoltaic technology; The output end of the intelligent cleaning detection module is connected to the input end of the photovoltaic power generation information collection module by telecommunication, the output end of the shadow detection module is connected to the input end of the photovoltaic power generation information collection module by telecommunication, the output end of the photovoltaic power generation information collection module is connected to the input end of the data standardization processing module by telecommunication, the output end of the data standardization processing module is connected to the input end of the factory solar power generation comprehensive analysis module by telecommunication, the output end of the factory solar power generation comprehensive analysis module is connected to the input end of the factory solar power generation comprehensive judgment module by telecommunication, and the output end of the factory solar power generation comprehensive judgment module is connected to the input end of the interactive feedback module by telecommunication.

[0029] The intelligent cleaning detection module is used to transmit the transmittance data of the photovoltaic device to the photovoltaic module controller through the distributed transmittance sensor, and compare the transmittance data with the reference data threshold value under the pre-set cleaning state. When the cleanliness of the surface of the photovoltaic module is lower than the set threshold, the system automatically issues a cleaning reminder and arranges the equipment to be cleaned; It should be specifically explained in this embodiment that the distributed transmittance sensor specifically refers to a sensor arranged at a grid point of 0.5m×0.5m on the surface of the photovoltaic module. The transmittance sensor models include ZTD-6, EE-SX199, TRM-FX2, etc., which can be used in small distributed photovoltaic system detection scenarios and can accurately detect transmittance changes. This embodiment does not make specific limitations; The threshold value refers to the minimum value of light transmittance obtained in daily practice without affecting the working state of the photovoltaic module. If the cleanliness of the surface of the photovoltaic module is lower than the set threshold value, it indicates that the cleanliness of the surface of the photovoltaic module is not good; The shadow detection module transmits the collected light intensity data to the photovoltaic module controller through the distributed light sensor. The photovoltaic module controller compares the light intensity data of different photovoltaic module areas, selects the photovoltaic module area where the light intensity is significantly lower than the average value of other areas by more than 30%, determines that there may be shadows in the area, and outputs the judgment result to the user information terminal to remind the staff to adjust the angle of the photovoltaic module or change the position of the photovoltaic module; It should be specifically explained in this embodiment that the distributed light sensor specifically refers to a sensor arranged at a grid point of 0.5m×0.5m on the surface of the photovoltaic module, and the area of ​​1m×1m centered on each grid point is the coverage area of ​​the sensor. The light sensor models include OPT101, GY30, TL-SEN103-THI, etc., which can be used in small distributed photovoltaic system detection scenarios and can accurately detect light changes. This embodiment does not make specific limitations; It should be specifically explained in this embodiment that when the shadow detection module determines that there may be a shadow in the area, the system adjusts the angle of the photovoltaic modules in the area so that the light intensity in the area reaches the average value. If this cannot be achieved, the user information terminal is used to remind the staff to change the position of the photovoltaic modules; like Figure 2 The photovoltaic power generation information collection module shown includes an equipment performance information collection unit, an equipment reliability information collection unit, an equipment economic information collection unit, and a system overall operation information collection unit. This module is used to collect data from the solar energy conversion system to obtain comprehensive parameters and output the comprehensive parameters to the data standardization processing module; In the preferred technical solution of the present application, the specific method for obtaining the comprehensive parameters in the photovoltaic power generation information collection module is as follows: It should be specifically explained in this embodiment that the comprehensive parameters refer to the inverter harmonic content parameters, the inverter power factor parameters, the inverter conversion efficiency parameters, the solar panel open circuit voltage parameters, the solar panel short circuit current parameters, the solar panel fill factor parameters, the solar panel temperature coefficient parameters, the solar panel life parameters, the solar panel failure rate parameters, the inverter life parameters, the inverter failure rate parameters, the energy storage battery life parameters, the energy storage battery failure rate parameters, the energy storage battery SOC parameters, the energy storage battery charging power parameters, the energy storage battery discharging power parameters, the three-phase current imbalance parameters, the system energy efficiency ratio parameters, the three-phase voltage imbalance parameters, the investment cost parameters, and the operating cost parameters.

[0030] The inverter harmonic content parameter refers to the inverter harmonic content ; The inverter power factor parameter refers to the inverter power factor ; The inverter conversion efficiency parameter refers to the inverter conversion efficiency ; The solar panel open circuit voltage parameter refers to the solar panel open circuit voltage ; The solar panel short-circuit current parameter refers to the solar panel short-circuit current ; The solar panel filling factor parameter refers to the solar panel filling factor ; The solar panel temperature coefficient parameter refers to the solar panel temperature coefficient ; The solar panel life parameter refers to the solar panel life ; The solar panel failure rate parameter refers to the solar panel failure rate ; The inverter life parameter refers to the inverter life ; The inverter failure rate parameter refers to the inverter failure rate ; The energy storage battery life parameter refers to the energy storage battery life ; The energy storage battery failure rate parameter refers to the energy storage battery failure rate ; The energy storage battery SOC parameter refers to the energy storage battery SOC value ; The energy storage battery charging power parameter refers to the energy storage battery charging power ; The energy storage battery discharge power parameter refers to the energy storage battery discharge power ; The three-phase current unbalance parameter refers to the three-phase current unbalance ; The system energy efficiency ratio parameter refers to the system energy efficiency ratio ; The three-phase voltage unbalance parameter refers to the three-phase voltage unbalance ; The investment cost parameter refers to the investment cost ; The operating cost parameter refers to the operating cost ; It should be specifically explained in this embodiment that the inverter harmonic content parameters, inverter power factor parameters, inverter conversion efficiency parameters, solar panel open circuit voltage parameters, solar panel short circuit current parameters, solar panel filling factor parameters, solar panel temperature coefficient parameters, solar panel life parameters, solar panel failure rate parameters, inverter life parameters, inverter failure rate parameters, energy storage battery life parameters, energy storage battery failure rate parameters, energy storage battery SOC parameters, energy storage battery charging power parameters, energy storage battery discharging power parameters, three-phase current imbalance parameters, system energy efficiency ratio parameters, three-phase voltage imbalance parameters, investment cost parameters, and operating cost parameters are all obtained by conventional methods or conventional equipment, such as collecting inverter harmonic content parameters through a harmonic data collector, measuring and recording the power factor of the inverter in real time through a power factor meter, and collecting solar panel open circuit voltage parameters, solar panel short circuit current parameters, and solar panel filling factor parameters through a solar panel parameter detector, so this embodiment does not make specific restrictions; It should be specifically explained in this embodiment that the inverter harmonic content parameter specifically refers to: the proportion of non-fundamental components in the inverter output voltage and current. These non-fundamental components include harmonic components of various frequencies, which will affect the stability of the power grid and the normal operation of other equipment; It should be specifically explained in this embodiment that the inverter power factor parameter specifically refers to: the ratio of the active power (P) output by the inverter to the apparent power (S); It should be specifically explained in this embodiment that the solar panel fill factor parameter specifically refers to: the fill factor refers to the ratio of the product of the current and voltage of the solar panel at maximum output power to the product of the short-circuit current and open-circuit voltage; It should be specifically explained in this embodiment that the three-phase current imbalance parameter specifically refers to: Three-phase current unbalance = (maximum current - minimum current) / maximum current; It should be specifically explained in this embodiment that the system energy efficiency ratio parameter specifically refers to: Energy efficiency ratio = total power generation (or total output energy) / total input energy; The data standardization processing module is used to standardize the collected data. Since the measurement units of various indicators may be different, the Z-score standardization processing of the collected data is performed to eliminate the influence of the dimension and output the processed comprehensive parameters to the factory solar power generation comprehensive analysis module.

[0031] It should be specifically noted in this embodiment that Z-score standardization is a commonly used data preprocessing method, which converts the original data into a standardized Z-Score by calculating the mean and standard deviation of the original data. This method can eliminate the magnitude differences between data, so that data of different magnitudes can be compared and comprehensively analyzed.

[0032] The factory solar power generation comprehensive analysis module is used to import the data processed in the data standardization processing module into the mathematical model of the equipment performance coefficient, the mathematical model of the equipment reliability coefficient, the mathematical model of the equipment economic coefficient, the mathematical model of the overall system operation status coefficient and the mathematical model of the solar power generation comprehensive quality index and calculate to obtain the equipment performance coefficient, the equipment reliability coefficient, the equipment economic coefficient, the overall system operation status coefficient and the solar power generation comprehensive quality index; It should be specifically explained in this embodiment that the mathematical model of the equipment performance coefficient is as follows: = + + ,in Refers to the equipment performance coefficient, Refers to the harmonic content of the inverter, Refers to the inverter power factor, Refers to the inverter conversion efficiency, Refers to the open circuit voltage of the solar panel. Refers to the short-circuit current of the solar panel. Refers to the solar panel fill factor, Refers to the solar panel temperature coefficient, Refers to the SOC value of the energy storage battery. Refers to the charging power of the energy storage battery. Refers to the discharge power of the energy storage battery. , Respectively refer to the average charging and discharging power of this type of energy storage battery in the industry; It should be specifically explained in this embodiment that the mathematical model of the equipment reliability coefficient is as follows: = ,in Refers to the equipment reliability coefficient, Refers to the life of solar panels, Refers to the failure rate of solar panels, Refers to the inverter life, Refers to the inverter failure rate, Refers to the life of the energy storage battery, Refers to the failure rate of energy storage batteries; It should be specifically explained in this embodiment that the mathematical model of the equipment economic coefficient is as follows: = + ,in Refers to the equipment economic coefficient, Refers to investment cost, Refers to operating costs; It should be specifically explained in this embodiment that the mathematical model of the overall operating state coefficient of the system is as follows: = ,in Refers to the overall operating status coefficient of the system, Refers to the three-phase current imbalance. Refers to the system energy efficiency ratio, Refers to the three-phase voltage unbalance; It should be specifically explained in this embodiment that the mathematical model of the solar power generation comprehensive quality index is as follows: = ,in Refers to the comprehensive quality index of solar power generation. Refers to the equipment performance coefficient, Refers to the equipment reliability coefficient, Refers to the equipment economic coefficient, Refers to the overall operating status coefficient of the system, , , , Refers to the weight coefficient; It should be specifically explained in this embodiment that the weight coefficient , , , It is calculated by the entropy method, and the specific calculation steps of the entropy method are as follows: Data standardization: Since the measurement units of various indicators may be different, in order to eliminate the impact of the dimension, the collected data needs to be standardized. Commonly used standardization methods include Z-score standardization and range method standardization; Calculate the proportion of indicators: Calculate the proportion of the i-th sample value under the j-th indicator to the sum of all sample values ​​of the indicator. This step is the basis for the subsequent calculation of information entropy; Calculate information entropy: According to the definition and calculation formula of information entropy, calculate the information entropy ej of the jth indicator. The smaller the information entropy, the greater the degree of variation of the indicator and the greater the amount of information provided; Calculate information entropy redundancy: Information entropy redundancy dj is the complement of information entropy, that is, dj = 1 - ej. The greater the information entropy redundancy, the more information the indicator contains, and the greater the impact on the comprehensive evaluation; Calculate weight: Calculate the weight of each indicator in the comprehensive evaluation according to its information entropy redundancy. The weight coefficient is the ratio of the information entropy redundancy of each indicator to the sum of the information entropy redundancy of all indicators.

[0033] The factory solar power generation comprehensive judgment module is used to compare the solar power generation comprehensive quality index with the preset value, and input the comparison result into the interactive feedback module; What needs to be specifically explained in this embodiment is that the preset value is a warning value for evaluating the equipment performance, equipment reliability, equipment economy and the overall operating status of the solar energy conversion system of the zero-carbon lighthouse factory based on industry practical experience. When the comprehensive quality index of solar power generation in the target area is lower than the preset value, it means that the equipment performance, equipment reliability, equipment economy and overall system operating status in the area are poor, and corresponding measures need to be taken to reduce risks.

[0034] The interactive feedback module is used to import the comparison result into the administrator terminal, and when the comparison result of the solar power generation comprehensive quality index is lower than the preset value, an alarm will be issued to the administrator's equipment; What needs to be specifically explained in this embodiment is that when the comparison result of the interactive feedback module is lower than the preset value, the system will trigger the alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window and give relevant parameters, and use artificial intelligence to help management personnel analyze the reasons affecting the comprehensive quality index of solar power generation, and further track down the specific aspects affecting the comprehensive performance, such as poor equipment performance, low equipment reliability, low equipment economy and poor overall system operation status.

[0035] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology, characterized in that: include: System central processor module, system operation database, user information terminal, intelligent cleaning detection module, shadow detection module, photovoltaic power generation information collection module, data standardization processing module, factory solar power generation comprehensive analysis module, factory solar power generation comprehensive judgment module and interactive feedback module; The system operation database includes all data texts of a solar energy conversion quality detection system of a zero-carbon lighthouse factory based on photovoltaic technology, and collects information texts output by each module in real time. The system central processor module is used to centrally control the information text instructions output by each module, and the user information terminal is an information output device for receiving a solar energy conversion quality detection system of a zero-carbon lighthouse factory based on photovoltaic technology; The intelligent cleaning detection module is used to transmit the transmittance data of the photovoltaic device to the photovoltaic module controller through the distributed transmittance sensor, and compare the transmittance data with the reference data threshold value under the pre-set cleaning state. When the cleanliness of the surface of the photovoltaic module is lower than the set threshold, the system automatically issues a cleaning reminder and arranges the equipment to be cleaned; The shadow detection module transmits the collected light intensity data to the photovoltaic module controller through the distributed light sensor. The photovoltaic module controller compares the light intensity data of different photovoltaic module areas, selects the photovoltaic module area where the light intensity is significantly lower than the average value of other areas by more than 30%, determines that there may be shadows in the area, and outputs the judgment result to the user information terminal to remind the staff to adjust the angle of the photovoltaic module or change the position of the photovoltaic module; Photovoltaic power generation information collection module: including solar equipment performance information collection unit, equipment reliability information collection unit, equipment economic information collection unit and system overall operation information collection unit. This module is used to collect data from the solar energy conversion system to obtain comprehensive parameters and output the comprehensive parameters to the data standardization processing module; Data standardization processing module: used to standardize the collected data, eliminate the influence of dimension by performing Z-score standardization on the collected data, and output the processed comprehensive parameters to the factory solar power generation comprehensive analysis module; The factory solar power generation comprehensive analysis module is used to import the data processed in the data standardization processing module into the mathematical model of the equipment performance coefficient, the mathematical model of the equipment reliability coefficient, the mathematical model of the equipment economic coefficient, the mathematical model of the overall system operation status coefficient and the mathematical model of the solar power generation comprehensive quality index, and calculate to obtain the equipment performance coefficient, the equipment reliability coefficient, the equipment economic coefficient, the overall system operation status coefficient and the solar power generation comprehensive quality index; Factory solar power generation comprehensive judgment module: used to compare the comprehensive quality index of solar power generation with the preset value, and input the comparison result into the interactive feedback module; Interactive feedback module: used to import the comparison results into the administrator terminal. When the comparison result of the comprehensive quality index of solar power generation is lower than the preset value, an alarm will be issued to the administrator's equipment.

2. According to claim 1, a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology is characterized by: The specific method for obtaining the comprehensive parameters in the photovoltaic power generation information collection module is as follows: Comprehensive parameters refer to inverter harmonic content parameters, inverter power factor parameters, inverter conversion efficiency parameters, solar panel open circuit voltage parameters, solar panel short circuit current parameters, solar panel fill factor parameters, solar panel temperature coefficient parameters, solar panel life parameters, solar panel failure rate parameters, inverter life parameters, inverter failure rate parameters, energy storage battery life parameters, energy storage battery failure rate parameters, energy storage battery SOC parameters, energy storage battery charging power parameters, energy storage battery discharging power parameters, three-phase current imbalance parameters, system energy efficiency ratio parameters, three-phase voltage imbalance parameters, investment cost parameters, and operating cost parameters; The inverter harmonic content parameter refers to the inverter harmonic content ; The inverter power factor parameter refers to the inverter power factor ; The inverter conversion efficiency parameter refers to the inverter conversion efficiency ; The solar panel open circuit voltage parameter refers to the solar panel open circuit voltage ; The solar panel short-circuit current parameter refers to the solar panel short-circuit current ; The solar panel filling factor parameter refers to the solar panel filling factor ; The solar panel temperature coefficient parameter refers to the solar panel temperature coefficient ; The solar panel life parameter refers to the solar panel life ; The solar panel failure rate parameter refers to the solar panel failure rate ; The inverter life parameter refers to the inverter life ; The inverter failure rate parameter refers to the inverter failure rate ; The energy storage battery life parameter refers to the energy storage battery life ; The energy storage battery failure rate parameter refers to the energy storage battery failure rate ; The energy storage battery SOC parameter refers to the energy storage battery SOC value ; The energy storage battery charging power parameter refers to the energy storage battery charging power ; The energy storage battery discharge power parameter refers to the energy storage battery discharge power ; The three-phase current unbalance parameter refers to the three-phase current unbalance ; The system energy efficiency ratio parameter refers to the system energy efficiency ratio ; The three-phase voltage unbalance parameter refers to the three-phase voltage unbalance ; The investment cost parameter refers to the investment cost ; The operating cost parameter refers to the operating cost .

3. According to claim 1, a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology is characterized by: The mathematical model of the equipment performance coefficient is as follows: = + + ,in Refers to the equipment performance coefficient, Refers to the harmonic content of the inverter, Refers to the inverter power factor, Refers to the inverter conversion efficiency, Refers to the open circuit voltage of the solar panel. Refers to the short-circuit current of the solar panel. Refers to the solar panel fill factor, Refers to the solar panel temperature coefficient, Refers to the SOC value of the energy storage battery. Refers to the charging power of the energy storage battery. Refers to the discharge power of the energy storage battery. , They respectively refer to the average charging and discharging power of this type of energy storage batteries in the industry.

4. According to claim 1, a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology is characterized by: The mathematical model of the equipment reliability coefficient is as follows: = ,in Refers to the equipment reliability coefficient, Refers to the life of solar panels, Refers to the failure rate of solar panels, Refers to the inverter life, Refers to the inverter failure rate, Refers to the life of the energy storage battery, Refers to the failure rate of energy storage batteries.

5. According to claim 1, a solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology is characterized by: The mathematical model of the equipment economic coefficient is as follows: = + ,in Refers to the equipment economic coefficient, Refers to investment cost, Refers to operating costs.

6. The solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology according to claim 1 is characterized by: The mathematical model of the overall operating state coefficient of the system is as follows: = ,in Refers to the overall operating status coefficient of the system, Refers to the three-phase current imbalance, Refers to the system energy efficiency ratio, Refers to the three-phase voltage unbalance.

7. The solar energy conversion quality detection system for a zero-carbon lighthouse factory based on photovoltaic technology according to claim 1 is characterized by: The mathematical model of the solar power generation comprehensive quality index is as follows: = ,in Refers to the comprehensive quality index of solar power generation. Refers to the equipment performance coefficient, Refers to the equipment reliability coefficient, Refers to the equipment economic coefficient, Refers to the overall operating status coefficient of the system, , , , Refers to the weight coefficient.

Images