Intelligent application method and device based on photovoltaic grid-connected system

Abstract

The application provides an intelligent application method based on a photovoltaic grid-connected system, and relates to the technical field of photovoltaic power generation, wherein the method comprises the following steps: firstly, clock signal synchronization calibration and collection are required, the calibration of a local clock signal is realized based on a satellite system and 5G communication technology; secondly, data information collection and processing are required, the data and image collection of an all-weather flexible boost photovoltaic system is realized based on 5G communication, and effective data are obtained through the elimination of abnormal data and data preprocessing; then, a data information model of the flexible boost photovoltaic system in a full time scale is established by using a data information fusion technology, the real-time performance monitoring and performance degradation detection of the flexible boost photovoltaic system are realized, and the above-mentioned scheme solves the problem of insufficient accuracy caused by the misoperation and refusal of breakers and protection, effectively improves fault diagnosis precision, realizes accurate monitoring of the system state and accurate prediction of system performance degradation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic power generation, and particularly to an intelligent application method and device based on a photovoltaic grid-connected system. BACKGROUND

[0002] In order to solve the current situation of energy shortage, achieve the development goal of green energy, reduce air pollution, and achieve the sustainability of energy development, countries around the world have begun to vigorously develop new energy power generation systems represented by photovoltaic and wind power. Photovoltaic systems are one of the most mature technologies in renewable energy power generation systems, and have advantages such as scalable power, simple installation, low maintenance, and modularity. In order to ensure the stability and reliability of photovoltaic system power supply, it is crucial to realize coordinated control of system-level devices, performance monitoring technology, and performance degradation prediction.

[0003] The synchronization trigger precision of multiple data acquisition nodes in a distributed data acquisition system directly affects the effectiveness of the acquired data and the accuracy of subsequent analysis and processing. Therefore, the synchronization of data sampling is a very important performance indicator for a distributed data acquisition system. In order to achieve high-precision acquisition synchronization of all nodes in the system, traditional distributed data acquisition systems use a dedicated clock bus to transmit a synchronization clock. The system clock source sends a global clock to each slave node through the dedicated clock bus. This bus makes the system clock source have equal hardware clock transmission delays to all slave nodes. As the complexity of the distributed acquisition system increases and the scale becomes larger, the clock desynchronization problem caused by the wiring delay of the dedicated clock bus gradually becomes prominent, and the complex and large bus structure also increases the system hardware overhead. In addition, large-scale distributed data acquisition systems generally contain multiple sampling nodes, and even contain multiple sampling sub-systems. The network topology structure of their clock transmission is very complex, and it is difficult to achieve the transmission of a synchronization clock through a simple clock bus.

[0004] With the development of Internet-related technologies, relying on new Internet of Things technologies such as big data, cloud computing, and data mining brings new means of revolution to the power production process. The value of a data-driven technology system lies in the following aspects: (1) Through data mining, problems hidden behind data become explicit, making previously invisible problems and associations emerge. (2) Combining data with advanced algorithms or analysis theories, using data mining methods to make the process intelligent, and then performing performance analysis, operation optimization, and full life cycle analysis for problems. (3) Discovering problems, exploring user value gaps, and exploring new research directions under data-driven. Therefore, under the background of today's industrial Internet of Things, it is of great significance to study the power production process using a data-driven method.

[0005] Condition monitoring of operating equipment during power generation. Condition analysis and diagnosis of power plant operating equipment relies on the accurate measurement, monitoring, and verification of sensor data. By establishing an index system of equipment energy consumption characteristics and operating parameters, and defining equipment baseline states, the aim is to monitor sensor faults, diagnose equipment performance status and fault sources, and pinpoint the spatiotemporal distribution of energy consumption. Methods for analyzing equipment performance status include conventional thermal analysis methods and traditional... Analysis, thermal economy diagnosis, unit consumption analysis, advanced Analysis, etc. Conventional thermal analysis methods are based on the first law of thermodynamics, using metrics such as thermal efficiency, heat rate, isentropic efficiency, and heat loss to analyze energy utilization in power generation processes. Methods gradually refined from these include the equivalent enthalpy drop method, the cyclic function method, and the matrix method, which are widely used in the system operation status analysis and energy-saving diagnosis of power plant units. Traditional The analysis, based on the second law of thermodynamics, examines the state of an energy system from a qualitative perspective. Valero et al. in... Based on the analysis, a thermoeconomic analysis method was proposed, starting from the unit From a cost perspective, a series of studies on the thermal economics diagnosis of power plant units were conducted. Professor Song Zhiping... Analysis and Based on economic analysis, a unit consumption analysis method was proposed to analyze the theoretical unit consumption and additional unit consumption of equipment, which has more comprehensive engineering practical significance. Professor Tsatasronis et al. proposed a method for analyzing equipment unit consumption. Damage is further refined into internal equipment Damage, external equipment Damage, avoidable Damage, unavoidable Loss led to the development of advanced technologies. Analytical methods and advanced Economic analysis method. With the continuous growth of power grid load in China, the continuous expansion of cross-regional power grid scale and the increasingly strict environmental regulation, the uncertain factors affecting the stable operation of power grid also increase. In this case, it is particularly important to quickly and accurately analyze the early warning of power grid failure. When the power grid fails, the system will provide a large amount of useless information to the operator within a short time, which hinders the timely handling of the failure. In addition, the communication channel interference, the missing information caused by the refusal and misoperation of protection and switch will seriously affect the accuracy of the failure analysis. Therefore, under the background of large-scale and intelligent power grid, the fusion of heterogeneous and redundant multi-information source data will help the operator to correctly analyze the failure, which has practical economic benefits. At present, scholars at home and abroad have studied a variety of early warning diagnosis methods of power grid failure, such as artificial neural network, Bayesian network, optimization technology, expert system and so on. Yan Bo et al. studied the power grid early warning analysis system of the State Grid, and the system has problems such as non-standard information intervention, and the amount of information presented has a significant positive correlation with the degree of failure. CodeRRa-RaiReri D et al. found that the OPEN system can analyze and handle the failure in time, but there are problems such as not comprehensively utilizing heterogeneous information. He Molin et al. analyzed the optimization design in the field of comprehensive automation of transformer, but cannot comprehensively utilize the switch quantity and analog quantity information of the wave recorder. SUMMARY

[0006] The present application aims to at least solve one of the technical problems in the related art to some extent.

[0007] To this end, the first object of the present application is to propose an intelligent application method based on a photovoltaic grid-connected system, which solves the technical problem that the existing method cannot realize the coordinated control of the system-level device, performance monitoring and performance degradation prediction of the photovoltaic system, realizes real-time performance monitoring and performance degradation detection of the flexible boost photovoltaic system, and realizes flexible photovoltaic power station early warning based on multi-parameter data fusion.

[0008] The second object of the present application is to propose an intelligent application system based on a photovoltaic grid-connected system.

[0009] The third object of the present application is to propose a non-transitory computer readable storage medium.

[0010] To achieve the above object, the first aspect of the present application proposes an intelligent application method based on a photovoltaic grid-connected system, comprising: calibrating the clock of a photovoltaic inverter; realizing accurate synchronization of the high-reliability component-level clock of the photovoltaic inverter by combining satellite communication time service, network time service and local crystal oscillator synchronization; realizing real-time data acquisition and transmission of the photovoltaic grid-connected system through a 5G data network; collecting all-weather photovoltaic power station data information, processing the obtained data information through data screening and preprocessing; using photovoltaic system data information physical fusion system modeling theory, establishing a photovoltaic system data information physical fusion system model under full time scale based on the processed data information; using the photovoltaic system data information physical fusion system model, formulating photovoltaic inverter internal related parameter reference values, comparing with the real-time data of the equipment in the real-time collected data, monitoring the performance change trend and performance degradation process of the photovoltaic inverter.

[0011] The intelligent application method based on a photovoltaic grid-connected system of the present application calibrates the clock of a photovoltaic inverter; realizes accurate synchronization of the clock of the photovoltaic inverter by combining satellite communication time service, network time service and local crystal oscillator synchronization; realizes real-time data acquisition and transmission of the photovoltaic grid-connected system through a 5G data network; collects all-weather photovoltaic power station data information and processes the obtained data information; uses photovoltaic system data information physical fusion system modeling theory and the processed data information to establish a physical fusion model; uses the physical fusion model, formulates photovoltaic inverter internal related parameter reference values, compares with the real-time data of the equipment in the real-time collected data, monitors the performance change trend and performance degradation process of the photovoltaic inverter. The present application uses the combination of Internet of Things technology and 5G technology to develop intelligent application technology suitable for decentralized flexible photovoltaic systems, constructs an information physical fusion system of the flexible photovoltaic system based on data-driven technology, uses equipment information in all aspects through data mining means, realizes accurate monitoring of the system state and accurate prediction of system performance degradation by combining data with advanced algorithms, and maximizes the performance advantages of the flexible boost photovoltaic system, improves the operation efficiency of the photovoltaic system, and reduces the power generation cost of the photovoltaic system. In order to further improve the accuracy of photovoltaic power station fault diagnosis and ensure the stable and safe operation of the power grid, the characteristic parameters required for early warning of power grid faults and the extraction method are established from electrical quantities, the overall framework of the analysis system is established, and the D-S evidence theory is used for multi-parameter data information fusion of the fault characteristic parameters. The power grid early warning method based on multi-parameter data fusion introduces electrical quantities into the fault diagnosis of the power grid, solves the problem of insufficient accuracy caused by the misoperation and refusal of the circuit breaker and protection, effectively improves the fault diagnosis accuracy, realizes real-time performance monitoring and performance degradation detection of the flexible boost photovoltaic system, and realizes early warning of the flexible photovoltaic power station based on multi-parameter data fusion.

[0012] Optionally, in one embodiment of the present application, the clock of the photovoltaic inverter is calibrated, comprising:

[0013] The 1pps and serial port time information are received by using the GPS synchronous satellite signal to synchronize the local clock and the time on the GPS satellite, so as to accurately calibrate the clock of the photovoltaic inverter;

[0014] Optionally, in one embodiment of the present application, the high-reliability component-level clock of the photovoltaic inverter is accurately synchronized by combining satellite communication time service, network time service and local crystal oscillator synchronization, comprising:

[0015] The clock of the photovoltaic inverter is synchronized based on a navigation system;

[0016] The relationship between the clock source phase noise and the time synchronization accuracy in the uplink and downlink of the time synchronization system is analyzed, and then the clock of the component-level photovoltaic inverter in the photovoltaic grid-connected system is synchronized by using the IEEE1588 synchronization scheme based on 5G network synchronization communication and the decentralized bus system through the multicast technology;

[0017] Based on the OCXO crystal oscillator, the amount of change of the oscillator output frequency caused by the change of the surrounding temperature is reduced to the minimum, so that the clock signal of the photovoltaic inverter is synchronized.

[0018] Optionally, in one embodiment of the present application, it further comprises:

[0019] The decentralized data transmission channel is provided through the 5G communication network to realize the collection and transmission of the data and image information of the photovoltaic grid-connected system.

[0020] Optionally, in one embodiment of the present application, the data information physical fusion system model of the photovoltaic system under the full time scale is established by using the neural network and the vector machine.

[0021] In order to achieve the above purpose, the second aspect embodiment of the present application proposes an intelligent application system based on the photovoltaic grid-connected system, comprising a clock data synchronization module, a photovoltaic power station data information collection module, a data processing module, a model establishment module and an application module, wherein,

[0022] The clock data synchronization module is used for clock synchronization and data synchronization of the photovoltaic grid-connected system;

[0023] The photovoltaic power station data information collection module is used for collecting all-weather photovoltaic power station data information;

[0024] The data processing module is used for processing the obtained data information through data screening and preprocessing;

[0025] The model establishing module is configured to utilize a photovoltaic system data information physical fusion system modeling theory to establish a photovoltaic system data information physical fusion system model in a full time scale based on the data information processed by the data processing module.

[0026] The application module is configured to use the model generated by the model establishing module to formulate a photovoltaic inverter internal related parameter reference value, compare the device real-time data in the real-time collected data, and monitor a performance change trend and a performance degradation process of the photovoltaic inverter.

[0027] Optionally, in an embodiment of the present application, the clock data synchronization module is specifically configured to:

[0028] calibrate a clock of the photovoltaic inverter in the photovoltaic grid-connected system;

[0029] accurately synchronize a high-reliability component-level clock of the photovoltaic inverter by combining satellite communication time service, network time service and local crystal oscillator synchronization;

[0030] realize real-time collection and transmission of data of the photovoltaic grid-connected system through a 5G data network.

[0031] In order to achieve the above-mentioned purpose, the third aspect of the present application provides a non-temporary computer readable storage medium, when the instructions in the storage medium are executed by the processor, the above-mentioned intelligent application method based on the photovoltaic grid-connected system can be executed.

[0032] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0033] The above-mentioned and / or additional aspects and advantages of the present application will become apparent and easy to understand from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

[0034] Figure 1 A flowchart of an intelligent application method based on a photovoltaic grid-connected system provided by the first embodiment of the present application;

[0035] Figure 2 A structure diagram of the intelligent application system of the second embodiment of the present application. DETAILED DESCRIPTION

[0036] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, in which the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0037] The fuel cell stack multi-sheet membrane electrode multi-parameter synchronous detection method and device of the embodiment of the application are described below with reference to the accompanying drawings.

[0038] Figure 1 A flowchart of an intelligent application method based on a photovoltaic grid-connected system provided by Embodiment One of the application.

[0039] As Figure 1 shown, the intelligent application method based on the photovoltaic grid-connected system includes the following steps:

[0040] Step 101, calibrate the clock of the photovoltaic inverter;

[0041] Step 102, realize accurate synchronization of the high-reliability component-level clock of the photovoltaic inverter by combining satellite communication time service and network time service and local crystal oscillator synchronization;

[0042] Step 103, realize real-time data acquisition and transmission of the photovoltaic grid-connected system through a 5G data network;

[0043] The intelligent application method based on the photovoltaic grid-connected system of the embodiment of the application calibrates the clock of the photovoltaic inverter; realizes accurate synchronization of the high-reliability component-level clock of the photovoltaic inverter by combining satellite communication time service and network time service and local crystal oscillator synchronization; realizes real-time data acquisition and transmission of the photovoltaic grid-connected system through a 5G data network; acquires all-weather photovoltaic power station data information, processes the obtained data information through data screening and preprocessing; uses photovoltaic system data information physical fusion system modeling theory to establish a photovoltaic system data information physical fusion system model under full time scale based on the processed data information; uses the photovoltaic system data information physical fusion system model to formulate photovoltaic inverter internal related parameter reference values, compares the values with real-time data of equipment in the real-time acquired data, and monitors photovoltaic inverter performance change trend and performance degradation process, thereby realizing real-time performance monitoring and performance degradation detection of the flexible boost photovoltaic system and realizing flexible photovoltaic power station early warning based on multi-parameter data fusion.

[0044] Further, in the embodiment of the application, calibrating the clock of the photovoltaic inverter includes:

[0045] Through the GPS signal, the clock crystal oscillator of the component-level photovoltaic inverter is tamed, 1pps and serial port time information are received by using the GPS synchronous satellite signal, the local clock is synchronized with the time on the GPS satellite, and accurate calibration of the component-level isolated photovoltaic inverter clock is realized,

[0046] Further, in the embodiment of the present application, the clock synchronization technology based on the Beidou navigation system is developed. Since the satellite signal is easy to be disturbed, there is a risk in relying only on satellite time service. Therefore, on the basis of analyzing the relationship between the clock source phase noise and the time synchronization accuracy in the uplink and downlink of the time synchronization system, the clock of the component-level photovoltaic inverter in the flexible photovoltaic system is synchronized through the multicast technology of the distributed bus system based on the IEEE1588 synchronization scheme of 5G network synchronization communication, and the change amount of the oscillator output frequency caused by the change of the surrounding temperature is reduced to the minimum based on the OCXO crystal oscillator (Oven Controlled Crystal Oscillator), so as to effectively reduce the inaccuracy of the frequency of the crystal oscillator caused by the heating of the equipment in the component-level photovoltaic inverter, and then the synchronization of the component-level clock signal.

[0047] Further, in the embodiment of the present application, it also includes:

[0048] The system-level data synchronization technology of the flexible photovoltaic system based on the 5G network environment is developed. The distributed data transmission channel with low delay, high integrity and high data rate is provided through the 5G communication network, so as to realize the collection of the data and image information of the distributed flexible photovoltaic system.

[0049] Further, in the embodiment of the present application, the data information physical fusion system model of the photovoltaic system under the full time scale is established through the neural network and the vector machine.

[0050] In order to realize the above-mentioned embodiment, the present application further provides an intelligent application system based on the photovoltaic grid-connected system,

[0051] Figure 2 The structure diagram of the intelligent application system provided in the embodiment of the present application is shown.

[0052] As Figure 2 shown, the intelligent application system includes a clock data synchronization module, a photovoltaic power station data information collection module, a data processing module, a model establishment module and an application module, wherein,

[0053] The clock data synchronization module is used for clock synchronization and data synchronization of the photovoltaic grid-connected system.

[0054] The photovoltaic power station data information collection module is used for collecting all-weather photovoltaic power station data information.

[0055] The data processing module is used for processing the obtained data information through data screening and preprocessing.

[0056] The model establishing module is configured to utilize a photovoltaic system data information physical fusion system modeling theory to establish a photovoltaic system data information physical fusion system model in a full time scale based on the data information processed by the data processing module.

[0057] The application module is configured to use the model generated by the model establishing module to formulate a photovoltaic inverter internal related parameter reference value, compare the device real-time data in the real-time collected data, and monitor a photovoltaic inverter performance change trend and a performance degradation process.

[0058] Further, in the embodiment of the present application, a photovoltaic power station data acquisition module is independently developed to acquire photovoltaic power station data, and all-weather photovoltaic power station data information is acquired through development and trial production of the photovoltaic power station data acquisition module, and the obtained data information is processed through reasonable data screening and preprocessing

[0059] Further, in the embodiment of the present application, the data is processed through reasonable abnormal data elimination and preprocessing technology: a photovoltaic system data information physical fusion system modeling theory is utilized to establish a photovoltaic system data information physical fusion system model in a full time scale based on the aforementioned processed data information through different algorithms (neural network, support vector machine, etc.);

[0060] Further, in the embodiment of the present application, the aforementioned clock data synchronization module is specifically configured to:

[0061] calibrate the clock of the photovoltaic inverter in the photovoltaic grid-connected system;

[0062] accurately synchronize the high-reliability component-level clock of the photovoltaic inverter through combination of satellite communication time service, network time service and local crystal oscillator synchronization;

[0063] realize real-time acquisition and transmission of data of the photovoltaic grid-connected system through a 5G data network

[0064] It should be noted that the aforementioned explanation and description of the embodiment of the intelligent application method based on the photovoltaic grid-connected system also applies to the embodiment of the intelligent application system device based on the photovoltaic grid-connected system, and details are not repeated here.

[0065] In order to realize the above-mentioned embodiments, the present application further proposes a non-temporary computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the method of the above-mentioned embodiments.

[0066] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. Moreover, the usage of the terms "first", "second" or "third" does not limit the quantity or order of the specific features, structures, materials or characteristics, but rather the term "first", "second" or "third" can be used to distinguish different features, structures, materials or characteristics, which can be combined in any suitable manner. Furthermore, the singular forms "a", "an" and "the" include plural references unless the context clearly dictates otherwise.

[0067] Furthermore, the terms "first", "second", or the like, merely denote different instances of a similar feature, structure, material or characteristic, without necessarily implying any relative importance or any particular order. Thus, a feature defined with "first" or "second" can implicitly or explicitly include at least one of the features. The meaning of "a", "an" and "the" includes plural references unless the context clearly dictates otherwise.

[0068] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more steps for implementing specific logic functions or steps, and the terms in the description are used for causing or carrying out or upgrading of an action between other hardware under their control. The description of processes and methods of operations should be considered as merely illustrative of the principles of the application.

[0069] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, processor- based system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or a combination thereof. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer readable medium can specifically include the following, which are non-exhaustive list: electrical connection (electrical device having one or more wires), portable computer diskette (magnetic device), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fiber device, and portable compact disc read-only memory (CDROM). In addition, the computer readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, for example, by optically scanning the paper or other suitable medium, then electronically converted into a form that can be edited, compiled, or interpreted, or otherwise processed in electronic form into an executable form suitable for use in the instruction execution system, apparatus or device.

[0070] It should be understood that parts of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As in another embodiment, if implemented in hardware, any of the following technologies known in the art or their combination can be used: discrete logic circuit with logic gates for implementing logic functions on data signals, application specific integrated circuit with appropriate combination logic gates, programmable gate array (PGA), field programmable gate array (FPGA), etc.

[0071] Those skilled in the art of the present technology can understand that all or part of the steps carried out by the above-mentioned embodiment methods can be completed by programs instructing relevant hardware, and the programs can be stored in a computer readable storage medium. When executed, the programs include one or a combination of steps of the method embodiments.

[0072] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0073] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for intelligent application based on a photovoltaic grid-connected system, characterized in that, It comprises the following steps: Calibration of the clock of the photovoltaic inverter; High-reliability component-level clock synchronization of the photovoltaic inverter is realized by combining satellite communication time service, network time service and local crystal oscillator synchronization; Through a 5G data network, real-time data acquisition and transmission of the photovoltaic grid-connected system are realized; All-weather photovoltaic power station data information is collected, and the obtained data information is processed through data screening and preprocessing; Based on the processed data information, a photovoltaic system data information physical fusion system model is established under a full time scale using photovoltaic system data information physical fusion system modeling theory; Using the photovoltaic system data information physical fusion system model, the internal related parameter reference value of the photovoltaic inverter is formulated, and the device real-time data in the real-time collected data are compared to monitor the performance change trend and performance degradation process of the photovoltaic inverter. The high-reliability component-level clock synchronization of the photovoltaic inverter is realized by combining satellite communication time service, network time service and local crystal oscillator synchronization, which comprises: Clock synchronization of the photovoltaic inverter is realized based on a navigation system; The relationship between clock source phase noise and time synchronization accuracy in the uplink and downlink of the time synchronization system is analyzed, and then a 5G network synchronization communication IEEE1588 synchronization scheme is adopted to synchronize the clock of the component-level photovoltaic inverter in the photovoltaic grid-connected system through a multicast technology distributed bus system; Based on an OCXO crystal oscillator, the amount of oscillator output frequency change caused by ambient temperature change is reduced to a minimum, so that the photovoltaic inverter clock signal is synchronized.

2. The method of claim 1, wherein, The clock of the photovoltaic inverter is calibrated, which comprises: The local clock and the time on the GPS satellite are synchronized by using GPS synchronization satellite signal reception 1pps and serial port time information to accurately calibrate the photovoltaic inverter clock.

3. The method of claim 1, wherein, It also comprises: A distributed data transmission channel is provided through a 5G communication network to realize the collection and transmission of data and image information of the photovoltaic grid-connected system.

4. The method of claim 1, wherein, A photovoltaic system data information physical fusion system model under a full time scale is established through a neural network and a vector machine.

5. An intelligent application system based on a photovoltaic grid-connected system, characterized in that, The method of any one of claims 1-4 is adopted, which comprises a clock data synchronization module, a photovoltaic power station data information collection module, a data processing module, a model establishment module and an application module, wherein, The clock data synchronization module is used to synchronize the clock and data of the photovoltaic grid-connected system; The photovoltaic power station data information collection module is used to collect all-weather photovoltaic power station data information; The data processing module is used to process the obtained data information through data screening and preprocessing; The model establishment module is used to establish a photovoltaic system data information physical fusion system model under a full time scale based on the processed data information of the data processing module using photovoltaic system data information physical fusion system modeling theory; The application module is used to use the model generated by the model establishment module to formulate the internal related parameter reference value of the photovoltaic inverter, compare the device real-time data in the real-time collected data, and monitor the performance change trend and performance degradation process of the photovoltaic inverter.

6. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, which is executed by a processor, implements the method as claimed in any one of claims 1 to 4.

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