Distributed photovoltaic power station group monitoring method and system based on multi-source data fusion

Abstract

The invention discloses a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion. The method comprises the following steps: integrating power generation state information of a distributed photovoltaic power station group; energy conversion efficiency information of the controllable solar panels is integrated, and energy conversion calculation and controllable solar panel angle dynamic adjustment results of the controllable solar panels with different powers are generated in combination with power generation natural environment information of a photovoltaic power station group, photovoltaic module rated parameters, battery energy storage information and shadow coverage rate parameters; photovoltaic power station group unit time fault rate information is integrated, and different photovoltaic power station group unit time fault rate calculation model energy conversion calculation and controllable solar panel angle dynamic adjustment results are generated; and dynamic photovoltaic power generation monitoring is performed by combining energy conversion calculation of different photovoltaic power station group unit time fault rate calculation models and a controllable solar panel angle dynamic adjustment result, so that the technical problem of low photovoltaic power station group monitoring efficiency is solved, and the power generation efficiency and safety are ensured.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic power generation monitoring, and in particular to a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion. Background Art

[0002] Solar photovoltaic power generation has become a major strategic measure for my country's energy supply strategy security, significant emission reduction and sustainable development with its advantages of clean, safe and continuous energy. With the expansion of market demand for photovoltaic products, the installed capacity of photovoltaic power generation continues to grow, and photovoltaic power stations are developed in batches, forming photovoltaic power station clusters with dozens or even hundreds of photovoltaic power stations. If the traditional monitoring method of power stations is used and operation and maintenance points are set up for each power station, the operation and maintenance workload is very large. Traditional energy conversion calculation methods usually use linear algorithms and empirical formulas, without comprehensively considering the impact of multi-source heterogeneous data such as environment and photovoltaic component parameters on the algorithm results, resulting in reduced monitoring efficiency.

[0003] Therefore, there is an urgent need for a more intelligent and scientific way to monitor photovoltaic power station groups and improve the power generation efficiency of photovoltaic power station groups. Summary of the invention

[0004] Purpose of the invention: In view of the shortcomings of the prior art, the present invention proposes a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion, aiming to solve the technical problems of low efficiency in energy conversion calculation and controllable solar panel angle monitoring of photovoltaic power station groups in the prior art.

[0005] Technical solution: In the first aspect, a distributed photovoltaic power station group monitoring method based on multi-source data fusion includes the following steps:

[0006] Using photovoltaic power station group information integration equipment to integrate distributed photovoltaic power station group power generation status information, the distributed photovoltaic power station group power generation status information includes photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, shadow coverage rate parameters;

[0007] Integrate the energy conversion efficiency information of the controllable solar panels, and use the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage parameters to perform energy conversion calculations for the energy conversion of controllable solar panels of different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels of different powers and dynamic adjustment results of the angles of the controllable solar panels;

[0008] Integrate the unit time failure rate information of the photovoltaic power station group, use the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and use different unit time failure rate calculation models of the photovoltaic power station group to perform energy conversion calculation and dynamic adjustment of the controllable solar panel angle, and generate energy conversion calculation and dynamic adjustment results of the controllable solar panel angle of different unit time failure rate calculation models of the photovoltaic power station group;

[0009] Dynamic photovoltaic power generation monitoring is performed based on the energy conversion calculation of controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

[0010] Furthermore, the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage parameters are used to perform energy conversion calculations for the energy conversion of controllable solar panels with different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels with different powers and dynamic adjustment results of the controllable solar panels' angles, including:

[0011] According to the energy conversion efficiency information of the controllable solar panel, different areas are divided to obtain different power generation locations, where the different power generation locations correspond to the energy conversion efficiency information of the controllable solar panel;

[0012] Perform power generation efficiency analysis on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters according to the different power generation locations, and obtain the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters;

[0013] The natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters are counted to evaluate the energy density, and the distribution areas of photovoltaic power stations with different energy densities are obtained;

[0014] According to the distribution areas of photovoltaic power station groups with different energy densities, energy conversion calculations are performed on the energy conversions of controllable solar panels with different powers and the angles of controllable solar panels are dynamically adjusted to generate results of energy conversion calculations and dynamic adjustment of controllable solar panels with different powers.

[0015] Further, according to the distribution areas of photovoltaic power station groups with different energy densities, energy conversion calculation is performed on the energy conversion of controllable solar panels with different powers, and the angle of controllable solar panels is dynamically adjusted to generate the energy conversion calculation results of controllable solar panels with different powers and the dynamic adjustment results of controllable solar panels, including:

[0016] Setting a unit time change rate model for light intensity in different areas; obtaining distribution density parameters of different photovoltaic power station groups according to the distribution areas of photovoltaic power station groups with different energy densities and the energy conversion efficiency information of the controllable solar panels;

[0017] Input the distribution density parameters of the different photovoltaic power station groups into the unit time change rate model of the light intensity in different regions to obtain the light intensity change interval in different regions;

[0018] According to the light intensity change intervals of different areas and the light intensity thresholds of different areas, energy conversion calculations are performed on the energy conversion of controllable solar panels with different powers and the angles of controllable solar panels are dynamically adjusted to generate results of energy conversion calculations and dynamic adjustment of controllable solar panels with different powers.

[0019] Furthermore, the model of the speed of change of the illumination intensity per unit time in different areas is expressed as:

[0020]

[0021] in, Indicates the speed of change of light intensity per unit time in different areas, E1...E n Indicates the shadow coverage area per unit time of the controllable solar panel, X1...X n Indicates the light intensity per unit time in different areas, Q l Indicates the energy density per unit time in different regions, U c represents the amount of heat that can be converted into light per unit time, i represents the number of model iteration counts, and I represents the total number of preset model iterations.

[0022] Furthermore, by using the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters, different unit time failure rate calculation models of photovoltaic power stations are used to perform energy conversion calculation and dynamically adjust the angle of controllable solar panels, and generate energy conversion calculation results of unit time failure rate calculation models of different photovoltaic power stations and dynamic adjustment results of controllable solar panel angles, including:

[0023] According to the failure rate per unit time information of the photovoltaic power station group, different areas are divided to obtain power generation locations with different amounts of electricity;

[0024] According to the different power generation locations, the power generation efficiency of the photovoltaic power station group is analyzed based on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters, so as to obtain the power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations;

[0025] According to the energy density and power generation efficiency parameters of the photovoltaic power station group at different power generation locations, energy conversion calculation and dynamic adjustment of the controllable solar panel angle are performed on the unit time failure rate calculation model of the different photovoltaic power station groups to generate energy conversion calculation and dynamic adjustment results of the controllable solar panel angle of the unit time failure rate calculation model of the different photovoltaic power station groups.

[0026] Further, according to the energy density of the photovoltaic power station group at the different power generation locations and the power generation efficiency parameters, the unit time failure rate calculation model of the different photovoltaic power station groups is subjected to energy conversion calculation and controllable solar panel angle dynamic adjustment, and the energy conversion calculation and controllable solar panel angle dynamic adjustment results of the unit time failure rate calculation model of the different photovoltaic power station groups are generated, including:

[0027] Obtaining energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle, wherein the energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle include solar panel life parameters;

[0028] Optimizing the photovoltaic power station group unit time failure rate calculation model from the different photovoltaic power station group unit time failure rate calculation models according to the photovoltaic power station group power generation efficiency parameters of the different power generation locations;

[0029] According to the optimized photovoltaic power station group unit time failure rate calculation model, the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups and the dynamic adjustment results of the controllable solar panel angle are generated.

[0030] Furthermore, the calculation model expression of the failure rate per unit time of different photovoltaic power station groups is:

[0031]

[0032] Among them, Q s A represents the failure rate per unit time of different photovoltaic power station groups. 11 ...A 1n ...A n1 ...A nn Represents the unit time failure factor matrix of different photovoltaic power station groups, represents convolution calculation, R represents the fault detection error coefficient, which is a constant with a value range of 0-1, and D u Indicates the number of photovoltaic power stations operating normally, F cIndicates the total number of PV power plant groups.

[0033] The specific expressions for energy conversion calculation and dynamic adjustment of controllable solar panel angle for different photovoltaic power station groups unit time failure rate calculation models are as follows:

[0034]

[0035] in, represents the energy conversion function, H represents the natural environment parameters of the photovoltaic power station group, Y represents the rated parameters of the photovoltaic module, X represents the battery energy storage information, B represents the shadow coverage parameter, ξ represents the controllable solar panel energy conversion efficiency, G i represents the total amount of solar energy per unit time, ω represents the energy conversion error compensation coefficient, K i represents energy conversion error compensation;

[0036]

[0037] in, represents the dynamic adjustment function of the controllable solar panel angle, X ij Indicates the horizontal coordinate of the dynamic adjustment of the angle, Y ij The vertical coordinate representing the dynamic adjustment of the angle, Z ij Indicates the vertical coordinate of the dynamic adjustment of the angle, K represents the solar panel adjustment coefficient, Indicates the cumulative error of solar panel adjustment.

[0038] Furthermore, the method further comprises:

[0039] When errors occur in the dynamic photovoltaic power generation monitoring through the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles and the energy conversion calculation of the different photovoltaic power station group unit time failure rate calculation models, the energy conversion of the controllable solar panels with monitoring errors and the unit time failure rate calculation model of the photovoltaic power station group with monitoring errors are obtained;

[0040] Update the calculation parameters of the energy conversion of the controllable solar panel with monitoring errors and the calculation model of the failure rate per unit time of the photovoltaic power station group with monitoring errors;

[0041] If errors still occur after the calculation parameters are updated, a multi-source data fusion cloud monitoring alarm signal is generated; and the multi-source data fusion cloud monitoring alarm signal is sent to the multi-source data fusion cloud human-computer interaction terminal.

[0042] Furthermore, if errors still occur after the calculation parameters are updated, the power generation location is obtained based on the energy conversion of the controllable solar panels and the failure rate per unit time calculation model of the photovoltaic power station group with errors in the monitoring; the position of the photovoltaic power station group is adjusted according to the power generation location.

[0043] In the second aspect, a distributed photovoltaic power station group monitoring system based on multi-source data fusion includes:

[0044] A photovoltaic power station group power generation data integration unit, which is used to integrate the power generation status information of the distributed photovoltaic power station group using the photovoltaic power station group information integration device, wherein the distributed photovoltaic power station group power generation status information includes the photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, and shadow coverage rate parameters;

[0045] An energy conversion information integration unit, used to integrate the energy conversion efficiency information of the controllable solar panels;

[0046] The first dynamic adjustment unit is used to use the energy conversion efficiency information of the controllable solar panel and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters to perform energy conversion calculations for the energy conversion of controllable solar panels with different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels with different powers and dynamic adjustment results of the angles of the controllable solar panels;

[0047] A failure rate information integration unit is used to integrate the failure rate information per unit time of a photovoltaic power station group;

[0048] The second dynamic adjustment unit is used to use the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and use different unit time failure rate calculation models of photovoltaic power stations to perform energy conversion calculations and dynamically adjust the angles of controllable solar panels, and generate energy conversion calculations of different unit time failure rate calculation models of photovoltaic power stations and dynamic adjustment results of controllable solar panel angles;

[0049] The dynamic photovoltaic power generation monitoring unit is used to perform dynamic photovoltaic power generation monitoring based on the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

[0050] In a third aspect, a computer device is provided, comprising one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and when the programs are executed by the processors, the steps of the distributed photovoltaic power station group monitoring method based on multi-source data fusion as described in the first aspect of the present invention are implemented.

[0051] In a fourth aspect, a computer storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the distributed photovoltaic power station group monitoring method based on multi-source data fusion as described in the first aspect of the present invention are implemented.

[0052] Beneficial effects: The present invention proposes a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion, and utilizes photovoltaic power station group information integration equipment to integrate the power generation status information of the distributed photovoltaic power station group; integrates the energy conversion efficiency information of the controllable solar panels; based on the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, the energy conversion calculation of the controllable solar panels with different powers is performed, and the angle of the controllable solar panels is dynamically adjusted to generate the energy conversion calculation results of the controllable solar panels with different powers and the dynamic adjustment results of the controllable solar panels; integrates the failure rate information per unit time of the photovoltaic power station group; based on the failure rate information per unit time of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters , using different photovoltaic power station group unit time failure rate calculation models to perform energy conversion calculations and dynamically adjust the controllable solar panel angles, generating different photovoltaic power station group unit time failure rate calculation models energy conversion calculations and controllable solar panel angle dynamic adjustment results, combined with different photovoltaic power station group unit time failure rate calculation models energy conversion calculations and controllable solar panel angle dynamic adjustment results to perform dynamic photovoltaic power generation monitoring, realizing the energy conversion of controllable solar panels and photovoltaic power station group unit time failure rate calculation models according to the natural environment information of photovoltaic power station groups in different regions, rated parameters of photovoltaic components, and battery energy storage, and performing energy conversion calculations and dynamic adjustment of controllable solar panel angles, improving the energy conversion calculation efficiency of photovoltaic power station groups and controllable solar panel angle monitoring, and timely discovering photovoltaic power station group faults, ensuring power generation efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is a flow chart of the method of the present invention;

[0054] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings.

[0056] The embodiments of the present invention provide a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion, which solves the technical problem of low efficiency of energy conversion calculation and controllable solar panel angle monitoring of photovoltaic power station groups, and realizes energy conversion calculation of controllable solar panels and unit time failure rate calculation model of photovoltaic power station groups according to natural environment information of photovoltaic power station groups in different regions, rated parameters of photovoltaic modules, and battery energy storage, and dynamically adjusts the controllable solar panel angle, thereby improving the technical effect of energy conversion calculation and controllable solar panel angle monitoring efficiency of photovoltaic power station groups.

[0057] Reference Figure 1 The embodiment of the present invention provides a distributed photovoltaic power station group monitoring method based on multi-source data fusion, the method comprising the following steps:

[0058] Step S102: using photovoltaic power station group information integration equipment to integrate the distributed photovoltaic power station group power generation status information, wherein the distributed photovoltaic power station group power generation status information includes the photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, and shadow coverage rate parameters.

[0059] According to an implementation manner of the present invention, a dynamic photovoltaic power generation monitoring system with multi-source data fusion cloud is deployed in different regional environments. In step S102, a photovoltaic power station group information integration device (the photovoltaic power station group information integration device is a device such as a sensor) is used to integrate the power generation status information of the distributed photovoltaic power station group. The power generation status information of the distributed photovoltaic power station group includes the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters.

[0060] Natural environment information includes basic parameters such as radiation intensity, wind speed and temperature, which directly affect the energy conversion efficiency of photovoltaic modules. The rated parameters of photovoltaic modules define the performance indicators of photovoltaic modules under ideal conditions. They are the benchmark for evaluating actual power generation performance and can be used to evaluate the efficiency of power generation. The battery energy storage system is a key component in the photovoltaic power generation system, which directly affects the energy management and power supply stability of the entire system. By monitoring the shadow coverage rate, the layout and angle adjustment of photovoltaic modules can be optimized to maximize the light absorption efficiency.

[0061] The above information is crucial for the dynamic monitoring and optimization of photovoltaic power plant groups. Through the integration of multi-source data, the system can grasp the operating status of photovoltaic power plant groups in real time and make intelligent decisions to improve power generation efficiency, ensure system stability, and reduce operation and maintenance costs.

[0062] Step S104, integrating the energy conversion efficiency information of the controllable solar panels, and utilizing the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage parameters to perform energy conversion calculations for the energy conversion of controllable solar panels of different powers and dynamically adjust the angles of the controllable solar panels, thereby generating energy conversion calculations for the controllable solar panels of different powers and dynamic adjustment results of the controllable solar panels angles.

[0063] The following steps are involved:

[0064] Step S104-1, different regions have different power controllable solar panels for energy conversion, and the controllable solar panels energy conversion efficiency information is integrated. The controllable solar panels energy conversion efficiency information includes the spatial position information of the energy conversion of different power controllable solar panels in different regions, so as to provide data support for soil monitoring in different regions of photovoltaic power station group monitoring;

[0065] Step S104-2, dividing different regions according to the energy conversion efficiency information of the controllable solar panel to obtain different power generation locations, where the different power generation locations correspond to the energy conversion efficiency information of the controllable solar panel;

[0066] Specifically, with the controllable solar panel energy conversion efficiency information as the center, different areas are divided according to the clear and loud coverage of the controllable solar panel energy conversion, and different power generation locations are obtained, and the different power generation locations correspond to the controllable solar panel energy conversion efficiency information;

[0067] Step S104-3, performing power generation efficiency analysis on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters according to the different power generation locations, and obtaining the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters;

[0068] Specifically, within different regions at the same time, the power generation efficiency is analyzed on the natural environment information of the photovoltaic power station group, the rated parameters of photovoltaic modules, the battery energy storage information, and the shadow coverage parameters. A bottom-up condensed hierarchical power generation efficiency analysis is performed according to the different power generation locations to obtain the natural environment information of the photovoltaic power station group, the rated parameters of photovoltaic modules, and the battery energy storage power generation efficiency parameters. The above parameters are cleaned to unify the data format while removing outliers, so that the parameters of heterogeneous data sources can be integrated and used.

[0069] Step S104-4, statistically analyzing the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters for energy density evaluation, and obtaining distribution areas of photovoltaic power station groups with different energy densities; the distribution areas of photovoltaic power station groups with different energy density sizes correspond to the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters; providing technical support for energy conversion calculation of controllable solar panels with different powers and dynamic adjustment of the angle of controllable solar panels; integrating and calculating the natural environment information, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters through the energy density evaluation model, so as to obtain the distribution of photovoltaic power station groups in different regions, and then providing key data support for subsequent energy conversion calculations, thereby optimizing the overall performance and efficiency of photovoltaic power stations.

[0070] Step S104-5, performing energy conversion calculation and dynamic adjustment of the angle of the controllable solar panels for the energy conversion of the controllable solar panels with different powers according to the distribution areas of the photovoltaic power station groups with different energy densities, and generating energy conversion calculation and dynamic adjustment results of the controllable solar panels for the energy conversion of the controllable solar panels with different powers;

[0071] Specifically, it includes: first, setting a model of the speed of change of light intensity per unit time in different areas; then, obtaining distribution density parameters of different photovoltaic power station groups according to the distribution areas of photovoltaic power station groups with different energy densities and the energy conversion efficiency information of the controllable solar panels; next, inputting the distribution density parameters of different photovoltaic power station groups into the model of the speed of change of light intensity per unit time in different areas, and obtaining the light intensity change interval in different areas; finally, according to the light intensity change interval in different areas and the light intensity threshold in different areas, performing energy conversion calculation and dynamic adjustment of the controllable solar panel angle for the energy conversion of the controllable solar panels with different powers, and generating the energy conversion calculation and dynamic adjustment results of the controllable solar panels with different powers.

[0072] According to an embodiment of the present invention, setting a unit time change rate model of light intensity in different areas includes: a staff member sets a unit time change rate model of light intensity in different areas based on the characteristics of energy conversion of controllable solar panels; the unit time change rate model of light intensity in different areas is expressed as:

[0073]

[0074] in, Indicates the speed of change of light intensity per unit time in different areas, E1...E n Indicates the shadow coverage area per unit time of the controllable solar panel, X1...X n Indicates the light intensity per unit time in different areas, Q lIndicates the energy density per unit time in different regions, U c represents the amount of heat that can be converted per unit time of illumination, i represents the number of model iteration counts, and I represents the total number of preset model iterations;

[0075] According to the distribution area of ​​photovoltaic power station groups with different energy densities and the energy conversion efficiency information of the controllable solar panels, the distribution density parameters of different photovoltaic power station groups are obtained, including: calculating the relative photovoltaic power station group distribution density between the distribution area of ​​photovoltaic power station groups with different energy densities and the energy conversion efficiency information of the controllable solar panels, and obtaining the distribution density parameters of different photovoltaic power station groups, the photovoltaic power station group distribution density parameters are the relative photovoltaic power station group distribution density between the receiving position and the sound source position; the relationship between the distribution density and the energy conversion efficiency reflects whether the configuration of the photovoltaic power station group in different areas is reasonable. Through calculation and analysis, potential problems in the current layout can be discovered, resource allocation can be optimized, and the overall operation efficiency of the photovoltaic power station can be improved.

[0076] Inputting the distribution density parameters of different photovoltaic power station groups into the illumination intensity unit time change speed model of different regions to obtain illumination intensity change intervals of different regions, including: inputting the distribution density parameters of different photovoltaic power station groups as restriction information into the illumination intensity unit time change speed model of different regions in sequence to obtain illumination intensity change intervals of different regions, wherein the illumination intensity change intervals of different regions correspond to the distribution density parameters of different photovoltaic power station groups;

[0077] According to the illumination intensity variation intervals of different regions and the illumination intensity thresholds of different regions, energy conversion calculation is performed on the energy conversion of the controllable solar panels with different powers and the angle of the controllable solar panels is dynamically adjusted to generate the energy conversion calculation results of the controllable solar panels with different powers and the dynamic adjustment results of the controllable solar panels with different powers, including: according to the illumination intensity variation intervals of different regions and the illumination intensity thresholds of different regions (the illumination intensity thresholds of different regions include the illumination intensity lower limit of different regions for energy conversion of controllable solar panels and the illumination intensity upper limit of different regions), respectively determine the percentage of the illumination intensity variation intervals of different regions in the illumination intensity thresholds of different regions, and adjust the illumination intensity according to the percentages. The energy conversion of the controllable solar panels with different powers is performed with energy conversion calculation and dynamic adjustment of the angle of the controllable solar panels to generate the energy conversion calculation results of the controllable solar panels with different powers and the dynamic adjustment results of the angle of the controllable solar panels. The energy conversion calculation results of the controllable solar panels with different powers and the dynamic adjustment results of the angle of the controllable solar panels correspond to the energy conversion of the controllable solar panels with different powers. The energy conversion calculation results of the controllable solar panels and the dynamic adjustment results of the angle of the controllable solar panels can be the number of rotations of the light intensity adjustment knob in different areas, providing support for high-efficiency energy conversion calculation and dynamic adjustment of the angle of the controllable solar panels for the energy conversion of controllable solar panels with different powers.

[0078] Step S106, integrating the unit time failure rate information of the photovoltaic power station group, using the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, using different unit time failure rate calculation models of the photovoltaic power station group to perform energy conversion calculation and dynamically adjust the angle of the controllable solar panel, and generating energy conversion calculation results of the unit time failure rate calculation models of different photovoltaic power station groups and dynamic adjustment results of the controllable solar panel angle;

[0079] The following steps are involved:

[0080] Step S106-1, dividing different regions according to the failure rate per unit time information of the photovoltaic power station group to obtain power generation locations with different amounts of electricity;

[0081] Step S106-2, performing power generation efficiency analysis on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters according to the power generation locations of different power quantities, and obtaining power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations;

[0082] Step S106-3, according to the energy density of the photovoltaic power station group at the different power generation locations and the power generation efficiency parameters of the photovoltaic power station group, perform energy conversion calculation on the unit time failure rate calculation model of the different photovoltaic power station groups and dynamically adjust the controllable solar panel angle, to generate the energy conversion calculation and controllable solar panel angle dynamic adjustment results of the unit time failure rate calculation model of the different photovoltaic power station groups.

[0083] Specifically, different photovoltaic power station group unit time failure rate calculation models exist in different regions, and the photovoltaic power station group unit time failure rate information is integrated. The photovoltaic power station group unit time failure rate information includes the spatial location information of the unit time failure rate calculation models of different photovoltaic power station groups in different regions, providing data support for photovoltaic power station group monitoring.

[0084] The calculation model expression of the failure rate per unit time of different photovoltaic power station groups is:

[0085]

[0086] Among them, Q s A represents the failure rate per unit time of different photovoltaic power station groups. 11 ...A 1n ...A n1 ...A nn Represents the unit time failure factor matrix of different photovoltaic power station groups, represents convolution calculation, R represents the fault detection error coefficient, which is a constant with a value range of 0-1, and Du Indicates the number of photovoltaic power stations operating normally, F c Indicates the total number of PV power plant groups.

[0087] By using the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, the energy conversion calculation and the dynamic adjustment of the controllable solar panel angle of different photovoltaic power station group unit time failure rate calculation models are used to generate the energy conversion calculation and the dynamic adjustment results of the controllable solar panel angle of different photovoltaic power station group unit time failure rate calculation models. The specific expression is as follows:

[0088]

[0089] in, represents the energy conversion function, H represents the natural environment parameters of the photovoltaic power station group, Y represents the rated parameters of the photovoltaic module, X represents the battery energy storage information, B represents the shadow coverage parameter, ξ represents the controllable solar panel energy conversion efficiency, G i represents the total amount of solar energy per unit time, ω represents the energy conversion error compensation coefficient, K i represents energy conversion error compensation;

[0090]

[0091] in, represents the dynamic adjustment function of the controllable solar panel angle, X ij Indicates the horizontal coordinate of the dynamic adjustment of the angle, Y ij The vertical coordinate representing the dynamic adjustment of the angle, Z ij Indicates the vertical coordinate of the dynamic adjustment of the angle, K represents the solar panel adjustment coefficient, Indicates the cumulative error of solar panel adjustment.

[0092] Specifically, the unit time failure rate information of the photovoltaic power station group is taken as the center, and the coverage range can be clearly identified according to the unit time failure rate calculation model of the photovoltaic power station group to divide the different regional areas, and obtain different power generation locations, and the different power generation locations correspond to the unit time failure rate information of the photovoltaic power station group;

[0093] In different regions at the same time, the power generation efficiency of the photovoltaic power station group is analyzed for the natural environment information of power generation, the rated parameters of photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters. A bottom-up condensed hierarchical power generation efficiency analysis is performed according to the different power generation locations to obtain the power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations (the power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations include the failure rate of the photovoltaic power station group with different energy density at different power generation locations);

[0094] According to the energy density of the photovoltaic power station group at the different power generation locations and the power generation efficiency parameters of the photovoltaic power station group, energy conversion calculation and controllable solar panel angle (energy conversion calculation and controllable solar panel angle can be adjusting the unit time failure rate speed of the photovoltaic power station group, adjusting the brightness, and adjusting the color contrast) are dynamically adjusted for the unit time failure rate calculation models of the different photovoltaic power station groups to generate energy conversion calculation and controllable solar panel angle dynamic adjustment results of the unit time failure rate calculation models of the different photovoltaic power station groups. The energy conversion calculation and controllable solar panel angle dynamic adjustment results of the unit time failure rate calculation model of the photovoltaic power station group can be the dynamic adjustment results of the unit time failure rate speed of the photovoltaic power station group, the dynamic adjustment results of the brightness, and the dynamic adjustment results of the color contrast, to provide technical support for using different unit time failure rate calculation models of photovoltaic power stations to perform energy conversion calculation and dynamic adjustment of controllable solar panel angles.

[0095] According to a preferred solution, according to the energy density of the photovoltaic power station group at the different power generation locations, the energy conversion calculation and the dynamic adjustment of the controllable solar panel angle are performed on the unit time failure rate calculation model of the different photovoltaic power station groups, and the energy conversion calculation and the dynamic adjustment results of the controllable solar panel angle of the unit time failure rate calculation model of the different photovoltaic power station groups are generated, including:

[0096] Obtaining energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle, wherein the energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle include solar panel life parameters;

[0097] Optimizing the photovoltaic power station group unit time failure rate calculation model from the different photovoltaic power station group unit time failure rate calculation models according to the photovoltaic power station group power generation efficiency parameters of the different power generation locations;

[0098] According to the optimized photovoltaic power station group unit time failure rate calculation model, the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups and the dynamic adjustment results of the controllable solar panel angle are generated.

[0099] Generally speaking, if there are no photovoltaic power station groups with different energy densities in some areas, there is no need for the photovoltaic power station group unit time failure rate calculation model to calculate the life data of solar panels. If there are photovoltaic power station groups with different energy densities in some areas, the life data of solar panels is statistically analyzed, that is, the energy conversion calculation of the unit time failure rate calculation model of different photovoltaic power station groups and the dynamic adjustment result of the controllable solar panel angle. The life of solar panels is usually related to their use environment, use frequency, maintenance status, etc. The energy density of the area where the photovoltaic power station group is located may indirectly affect the workload and operating environment of the solar panel. If the energy density in an area is high and the equipment runs for a long time, it may lead to an increase in the failure rate, thereby affecting the life of the solar panel. In order to ensure that the power generation location covers all photovoltaic power station groups with different energy densities in different areas and operate stably, according to the power generation efficiency parameters of the photovoltaic power station groups with different energy densities at the power generation locations, the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups and the dynamic adjustment result of the controllable solar panel angle are generated, and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups and the dynamic adjustment result of the controllable solar panel angle are also included:

[0100] In the case of the analysis of the calculation model of the failure rate per unit time of the different photovoltaic power station groups, the energy conversion calculation of the failure rate per unit time of the photovoltaic power station group and the controllable solar panel angle are obtained, and the energy conversion calculation of the failure rate per unit time of the photovoltaic power station group and the controllable solar panel angle include the solar panel life parameters;

[0101] According to the energy density of the different power generation locations, the photovoltaic power station group power generation efficiency parameters are used to optimize the photovoltaic power station group unit time failure rate calculation model from the different photovoltaic power station group unit time failure rate calculation models. The optimized photovoltaic power station group unit time failure rate calculation model is the photovoltaic power station group unit time failure rate calculation model that receives the solar panel life parameters; according to the solar panel life parameters, the photovoltaic power station group unit time failure rate calculation model after the solar panel life data statistics are optimized generates the energy conversion calculation results of the different photovoltaic power station group unit time failure rate calculation models and the dynamic adjustment results of the controllable solar panel angle. The photovoltaic power station group unit time failure rate calculation model energy conversion calculation results and the controllable solar panel angle The dynamic adjustment result of the degree can be the dynamic adjustment result of the speed of the unit time failure rate of the photovoltaic power station group, the dynamic adjustment result of the brightness, and the dynamic adjustment result of the color contrast (that is, it is necessary to first calculate the unit time failure rate calculation model of the photovoltaic power station group within the limit range of the solar panel life data statistics, and then perform energy conversion calculations according to different unit time failure rate calculation models of photovoltaic power stations, and dynamically adjust the controllable solar panel angles. The unit time failure rate calculation model of the photovoltaic power station group is energy converted and the controllable solar panel angle is dynamically adjusted. If there is no photovoltaic power station group with large or small energy density, there is no need for the solar panel life data statistics unit time failure rate calculation model of the photovoltaic power station group), so as to timely discover the failure of the photovoltaic power station group and ensure the safety of power generation.

[0102] Step S108, dynamic photovoltaic power generation monitoring is performed according to the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

[0103] When errors occur in the dynamic photovoltaic power generation monitoring through the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles and the energy conversion calculation of the different photovoltaic power station group unit time failure rate calculation models, the energy conversion of the controllable solar panels with monitoring errors and the unit time failure rate calculation model of the photovoltaic power station group with monitoring errors are obtained;

[0104] Update the calculation parameters of the energy conversion of the controllable solar panel with monitoring errors and the calculation model of the failure rate per unit time of the photovoltaic power station group with monitoring errors;

[0105] If errors still occur after the calculation parameters are updated, a multi-source data fusion cloud monitoring alarm signal is generated;

[0106] The multi-source data fusion cloud monitoring alarm signal is sent to the multi-source data fusion cloud human-computer interaction terminal.

[0107] Specifically, according to the energy conversion calculation of controllable solar panels with different powers, the dynamic adjustment results of the angle of controllable solar panels, and the energy conversion calculation of the unit time failure rate calculation model of different photovoltaic power station groups, and the dynamic photovoltaic power generation monitoring of the controllable solar panel energy conversion and the unit time failure rate calculation model of photovoltaic power station groups in different areas is carried out to provide support for the dynamic photovoltaic power generation monitoring, and also includes: when an error occurs in the dynamic photovoltaic power generation monitoring through the energy conversion calculation of controllable solar panels with different powers, the dynamic adjustment results of the angle of controllable solar panels, and the unit time failure rate calculation model of different photovoltaic power station groups, the energy conversion calculation and the dynamic adjustment results of the angle of controllable solar panels, Take the monitoring error-controlled solar panel energy conversion and the monitoring error-induced photovoltaic power station group unit time failure rate calculation model; update the calculation parameters of the monitoring error-controlled solar panel energy conversion and the monitoring error-induced photovoltaic power station group unit time failure rate calculation model; if the calculation parameter update cycle is executed twice and an error occurs in the calculation parameter update, generate a multi-source data fusion cloud-based monitoring alarm signal (the multi-source data fusion cloud-based monitoring alarm signal includes the failure of the photovoltaic power station group unit time failure rate calculation model and the controllable solar panel energy conversion failure); send the multi-source data fusion cloud-based monitoring alarm signal to the multi-source data fusion cloud-based human-computer interaction terminal to provide support for relevant technical personnel to carry out system maintenance in a timely manner.

[0108] If errors still occur after the calculation parameters are updated, the power generation location is obtained according to the energy conversion of the controllable solar panel and the failure rate calculation model of the photovoltaic power station group per unit time;

[0109] The photovoltaic power station group is adjusted in position according to the power generation location.

[0110] Specifically, if the calculation parameter update loop is executed twice and an error occurs in the calculation parameter update, it indicates that there may be a hidden danger of failure in the unit time failure rate calculation model of the photovoltaic power station group and a controllable solar panel energy conversion failure. According to the monitoring error in the controllable solar panel energy conversion and the monitoring error in the unit time failure rate calculation model of the photovoltaic power station group, the power generation location is obtained. The power generation location cannot provide the unit time failure rate service of the photovoltaic power station group and the soil irrigation service area in different regions; the position of the photovoltaic power station group is changed and adjusted according to the power generation location to provide technical support for ensuring the unit time failure rate service of the photovoltaic power station group and the soil irrigation service in different regions.

[0111] In summary, the distributed photovoltaic power station group monitoring method based on multi-source data fusion provided in the embodiments of the present application has the following technical effects: integrating the power generation status information of the distributed photovoltaic power station group; integrating the energy conversion efficiency information of the controllable solar panels, combining the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, performing energy conversion calculations on controllable solar panels of different powers, and dynamically adjusting the angles of the controllable solar panels, to generate energy conversion calculations on controllable solar panels of different powers, and dynamic adjustment results of the controllable solar panels angles; integrating the unit time failure rate information of the photovoltaic power station group, combining the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and using the unit time failure rate calculation model of different photovoltaic power station groups to perform energy conversion calculations on controllable solar panels of different powers, and dynamically adjusting the angles of the controllable solar panels. The present application provides a distributed photovoltaic power station group monitoring method and system based on multi-source data fusion, which realizes the energy conversion calculation of the controllable solar panel energy conversion and the unit time failure rate calculation model of the photovoltaic power station group according to the natural environment information of the photovoltaic power station group in different regions, the rated parameters of the photovoltaic components, and the battery energy storage, and performs energy conversion calculation and dynamic adjustment of the controllable solar panel angle for the controllable solar panel energy conversion and the photovoltaic power station group unit time failure rate calculation model, thereby improving the technical effect of the energy conversion calculation efficiency of the photovoltaic power station group and the controllable solar panel angle monitoring efficiency.

[0112] By adopting the energy conversion calculation and controllable solar panel angle for obtaining the unit time failure rate of photovoltaic power station groups; optimizing the unit time failure rate calculation model of photovoltaic power station groups from different unit time failure rate calculation models of photovoltaic power station groups according to the energy density of different power generation locations, generating energy conversion calculation results of unit time failure rate calculation models of different photovoltaic power station groups and dynamic adjustment results of controllable solar panel angles, the failure of photovoltaic power station groups is discovered in time, ensuring the safety of power generation.

[0113] Based on the same inventive concept as the distributed photovoltaic power station group monitoring method based on multi-source data fusion in the aforementioned embodiment, Figure 2 As shown, the embodiment of the present application provides a distributed photovoltaic power station group monitoring system based on multi-source data fusion, and the system includes:

[0114] A photovoltaic power station group power generation data integration module is used to integrate the power generation status information of the distributed photovoltaic power station group using the photovoltaic power station group information integration device, wherein the distributed photovoltaic power station group power generation status information includes the photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, and shadow coverage rate parameters;

[0115] Energy conversion information integration module, used to integrate the energy conversion efficiency information of controllable solar panels;

[0116] The first dynamic adjustment module is used to use the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters to perform energy conversion calculations for the energy conversion of controllable solar panels with different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels with different powers and dynamic adjustment results of the angles of the controllable solar panels;

[0117] Failure rate information integration module, used to integrate the failure rate information per unit time of photovoltaic power station group;

[0118] The second dynamic adjustment module is used to use the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and use different unit time failure rate calculation models of photovoltaic power stations to perform energy conversion calculations and dynamically adjust the angles of controllable solar panels, and generate energy conversion calculations of different unit time failure rate calculation models of photovoltaic power stations and dynamic adjustment results of controllable solar panel angles;

[0119] The dynamic photovoltaic power generation monitoring module is used to perform dynamic photovoltaic power generation monitoring based on the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

[0120] According to an embodiment of the present invention, the first dynamic adjustment module includes:

[0121] An initial power generation location acquisition unit, used to divide the areas of different regions according to the energy conversion efficiency information of the controllable solar panel, and acquire different power generation locations, wherein the different power generation locations correspond to the energy conversion efficiency information of the controllable solar panel;

[0122] An initial power generation efficiency analysis unit is used to analyze the power generation efficiency of the photovoltaic power station group's power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, and shadow coverage rate parameters according to the different power generation locations, and obtain the photovoltaic power station group's power generation natural environment information, photovoltaic module rated parameters, and battery energy storage power generation efficiency parameters;

[0123] An energy density evaluation unit is used to collect statistics on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters to perform energy density evaluation and obtain distribution areas of photovoltaic power stations with different energy densities;

[0124] The first dynamic adjustment unit is used to perform energy conversion calculation and dynamic adjustment of the angle of controllable solar panels for the energy conversion of controllable solar panels with different powers according to the distribution area of ​​the photovoltaic power station group with different energy density sizes, and generate the energy conversion calculation and dynamic adjustment results of the controllable solar panels with different powers.

[0125] Furthermore, the first dynamic adjustment unit includes:

[0126] The illumination intensity unit time change rate unit is used to set the illumination intensity unit time change rate model for different regions; the illumination intensity unit time change rate model for different regions is expressed as:

[0127]

[0128] in, Indicates the speed of change of light intensity per unit time in different areas, E1...E n Indicates the shadow coverage area per unit time of the controllable solar panel, X1...X n Indicates the light intensity per unit time in different areas, Q l Indicates the energy density per unit time in different regions, U c represents the amount of heat that can be converted per unit time of illumination, i represents the number of model iteration counts, and I represents the total number of preset model iterations;

[0129] A photovoltaic power station group distribution density parameter acquisition unit, used to acquire different photovoltaic power station group distribution density parameters according to the photovoltaic power station group distribution areas with different energy density sizes and the controllable solar panel energy conversion efficiency information;

[0130] A unit for obtaining the variation interval of light intensity in different regions, used for inputting the distribution density parameters of the different photovoltaic power station groups into the variation speed model of the light intensity per unit time in different regions, and obtaining the variation interval of light intensity in different regions;

[0131] The calculation execution unit is used to perform energy conversion calculation and dynamic adjustment of the angle of the controllable solar panels for the energy conversion of the controllable solar panels with different powers according to the light intensity change intervals of the different areas and the light intensity thresholds of the different areas, and generate the energy conversion calculation and dynamic adjustment results of the controllable solar panels with different powers.

[0132] Furthermore, the second dynamic adjustment module includes:

[0133] A dynamic power generation location acquisition unit is used to divide the areas of different regions according to the failure rate per unit time information of the photovoltaic power station group to obtain power generation locations of different power quantities;

[0134] A dynamic power generation efficiency analysis unit is used to analyze the power generation efficiency of the photovoltaic power station group according to the power generation locations of different power quantities, the rated parameters of photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters, and obtain the power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations;

[0135] The second dynamic adjustment unit is used to perform energy conversion calculation and dynamic adjustment of the controllable solar panel angle for the unit time failure rate calculation model of the different photovoltaic power station groups according to the energy density and power generation efficiency parameters of the photovoltaic power station groups at the different power generation locations, and generate energy conversion calculation and dynamic adjustment results of the unit time failure rate calculation model of the different photovoltaic power station groups.

[0136] Furthermore, the second dynamic adjustment unit includes:

[0137] A photovoltaic power station group unit time failure rate energy conversion calculation and controllable solar panel angle acquisition unit, used to obtain the photovoltaic power station group unit time failure rate energy conversion calculation and controllable solar panel angle, wherein the photovoltaic power station group unit time failure rate energy conversion calculation and controllable solar panel angle include solar panel life parameters;

[0138] A model optimization unit, configured to optimize the photovoltaic power station group unit time failure rate calculation model from the different photovoltaic power station group unit time failure rate calculation models according to the photovoltaic power station group power generation efficiency parameters of the different power generation locations and energy densities;

[0139] The failure rate calculation unit is used to generate energy conversion calculation results of the unit time failure rate calculation model of different photovoltaic power station groups and dynamic adjustment results of the controllable solar panel angle according to the optimized unit time failure rate calculation model of the photovoltaic power station group.

[0140] Furthermore, the dynamic photovoltaic power generation monitoring module also includes:

[0141] A monitoring error acquisition unit, for acquiring the energy conversion of the controllable solar panels with monitoring errors and the unit time failure rate calculation model of the photovoltaic power station group with monitoring errors, when errors occur in the dynamic photovoltaic power generation monitoring through the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups;

[0142] A calculation parameter updating unit, used for updating the calculation parameters of the energy conversion of the controllable solar panel with monitoring errors and the calculation model of the failure rate per unit time of the photovoltaic power station group with monitoring errors;

[0143] A multi-source data fusion cloud monitoring alarm signal generating unit, used to generate a multi-source data fusion cloud monitoring alarm signal if an error still occurs after the calculation parameters are updated;

[0144] The multi-source data fusion cloud monitoring alarm signal sending unit is used to send the multi-source data fusion cloud monitoring alarm signal to the multi-source data fusion cloud human-computer interaction terminal.

[0145] Furthermore, the dynamic photovoltaic power generation monitoring module also includes:

[0146] A power generation location acquisition unit, for acquiring the power generation location according to the energy conversion of the controllable solar panel with the monitoring error and the failure rate calculation model of the photovoltaic power station group with the monitoring error per unit time, if an error still occurs after the calculation parameters are updated;

[0147] The position change prompting unit is used to adjust the position change of the photovoltaic power station group according to the power generation location.

[0148] It should be understood that the distributed photovoltaic power station group monitoring system based on multi-source data fusion in the embodiment of the present invention can implement all the technical solutions in the above method embodiment, and the functions of its various functional modules can be specifically implemented according to the methods in the above method embodiments. The specific implementation process can refer to the relevant description in the above embodiment, which will not be repeated here.

[0149] The present invention also provides a computer device, comprising one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and when the programs are executed by the processors, the steps of the distributed photovoltaic power station group monitoring method based on multi-source data fusion as described above are implemented.

[0150] The present invention also provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the distributed photovoltaic power station group monitoring method based on multi-source data fusion as described above are implemented.

[0151] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices (systems), computer equipment or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0152] The present invention is described with reference to a flowchart of a method according to an embodiment of the present invention. It should be understood that each process in the flowchart and a combination of processes in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A device that specifies functions in a process or multiple processes.

[0153] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 The steps of a specified function in a process or multiple processes.

Claims

1. A distributed photovoltaic power station group monitoring method based on multi-source data fusion, characterized in that: The method comprises the following steps: Using photovoltaic power station group information integration equipment to integrate the distributed photovoltaic power station group power generation status information, the distributed photovoltaic power station group power generation status information includes photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, shadow coverage rate parameters; Integrate the energy conversion efficiency information of the controllable solar panels, and use the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage parameters to perform energy conversion calculations for the energy conversion of controllable solar panels of different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels of different powers and dynamic adjustment results of the angles of the controllable solar panels; Integrate the unit time failure rate information of the photovoltaic power station group, use the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and use different unit time failure rate calculation models of the photovoltaic power station group to perform energy conversion calculation and dynamic adjustment of the controllable solar panel angle, and generate energy conversion calculation and dynamic adjustment results of the controllable solar panel angle of different unit time failure rate calculation models of the photovoltaic power station group; Dynamic photovoltaic power generation monitoring is performed based on the energy conversion calculation of controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

2. The method according to claim 1, characterized in that: Using the energy conversion efficiency information of the controllable solar panels and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage parameters, the energy conversion calculation of the controllable solar panels with different powers and the dynamic adjustment of the controllable solar panels angle are performed to generate the energy conversion calculation results of the controllable solar panels with different powers and the dynamic adjustment results of the controllable solar panels angle, including: According to the energy conversion efficiency information of the controllable solar panel, different areas are divided to obtain different power generation locations, where the different power generation locations correspond to the energy conversion efficiency information of the controllable solar panel; Perform power generation efficiency analysis on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters according to the different power generation locations, and obtain the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters; The natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, and the battery energy storage power generation efficiency parameters are counted to evaluate the energy density, and the distribution areas of photovoltaic power stations with different energy densities are obtained; According to the distribution areas of photovoltaic power station groups with different energy densities, energy conversion calculations are performed on the energy conversions of controllable solar panels with different powers and the angles of controllable solar panels are dynamically adjusted to generate results of energy conversion calculations and dynamic adjustment of controllable solar panels with different powers.

3. The method according to claim 2, characterized in that According to the distribution areas of photovoltaic power station groups with different energy densities, energy conversion calculation is performed on the energy conversion of controllable solar panels with different powers, and the angle of controllable solar panels is dynamically adjusted to generate the energy conversion calculation and dynamic adjustment results of controllable solar panels with different powers, including: Setting a unit time change rate model for light intensity in different areas; obtaining distribution density parameters of different photovoltaic power station groups according to the distribution areas of photovoltaic power station groups with different energy densities and the energy conversion efficiency information of the controllable solar panels; Input the distribution density parameters of the different photovoltaic power station groups into the unit time change rate model of the light intensity in different regions to obtain the light intensity change interval in different regions; According to the light intensity change intervals of different areas and the light intensity thresholds of different areas, energy conversion calculations are performed on the energy conversion of controllable solar panels with different powers and the angles of controllable solar panels are dynamically adjusted to generate results of energy conversion calculations and dynamic adjustment of controllable solar panels with different powers.

4. The method according to claim 3, characterized in that The model of the speed of change of illumination intensity per unit time in different areas is expressed as: in, Indicates the speed of change of light intensity per unit time in different areas, E1...E n Indicates the shadow coverage area per unit time of the controllable solar panel, X1...X n Indicates the light intensity per unit time in different areas, Q l Indicates the energy density per unit time in different regions, U c represents the amount of heat that can be converted into light per unit time, i represents the number of model iteration counts, and I represents the total number of preset model iterations.

5. The method according to claim 1, characterized in that By using the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, different unit time failure rate calculation models of photovoltaic power stations are used to perform energy conversion calculation and dynamically adjust the angle of controllable solar panels, and generate energy conversion calculation results of unit time failure rate calculation models of different photovoltaic power stations and dynamic adjustment results of controllable solar panel angles, including: According to the failure rate per unit time information of the photovoltaic power station group, different areas are divided to obtain power generation locations with different amounts of electricity; According to the different power generation locations, the power generation efficiency of the photovoltaic power station group is analyzed based on the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic modules, the battery energy storage information, and the shadow coverage rate parameters, so as to obtain the power generation efficiency parameters of the photovoltaic power station group with different energy density at different power generation locations; According to the energy density and power generation efficiency parameters of the photovoltaic power station group at different power generation locations, energy conversion calculation and dynamic adjustment of the controllable solar panel angle are performed on the unit time failure rate calculation model of the different photovoltaic power station groups to generate energy conversion calculation and dynamic adjustment results of the controllable solar panel angle of the unit time failure rate calculation model of the different photovoltaic power station groups.

6. The method according to claim 5, characterized in that According to the energy density of the photovoltaic power station group power generation efficiency parameters at the different power generation locations, the energy conversion calculation and controllable solar panel angle dynamic adjustment are performed on the unit time failure rate calculation model of the different photovoltaic power station groups to generate the energy conversion calculation and controllable solar panel angle dynamic adjustment results of the unit time failure rate calculation model of the different photovoltaic power station groups, including: Obtaining energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle, wherein the energy conversion calculation of failure rate per unit time of photovoltaic power station group and controllable solar panel angle include solar panel life parameters; Optimizing the photovoltaic power station group unit time failure rate calculation model from the different photovoltaic power station group unit time failure rate calculation models according to the photovoltaic power station group power generation efficiency parameters of the different power generation locations; According to the optimized photovoltaic power station group unit time failure rate calculation model, the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups and the dynamic adjustment results of the controllable solar panel angle are generated.

7. The method according to claim 6, characterized in that The calculation model expression of the failure rate per unit time of different photovoltaic power station groups is: Among them, Q s A represents the failure rate per unit time of different photovoltaic power station groups. 11 ...A 1n ...A n1 ...A nn Represents the unit time failure factor matrix of different photovoltaic power station groups, represents convolution calculation, R represents the fault detection error coefficient, which is a constant with a value range of 0-1, and D u Indicates the number of photovoltaic power stations in normal operation, F c Indicates the total number of PV power plant groups. The specific expressions for energy conversion calculation and dynamic adjustment of controllable solar panel angle for different photovoltaic power station groups unit time failure rate calculation models are as follows: in, represents the energy conversion function, H represents the natural environment parameters of the photovoltaic power station group, Y represents the rated parameters of the photovoltaic module, X represents the battery energy storage information, B represents the shadow coverage parameter, ξ represents the controllable solar panel energy conversion efficiency, G u represents the total amount of solar energy per unit time, ω represents the energy conversion error compensation coefficient, K u represents energy conversion error compensation; in, represents the dynamic adjustment function of the controllable solar panel angle, X uj Indicates the horizontal coordinate of the dynamic adjustment of the angle, Y uj The vertical coordinate representing the dynamic adjustment of the angle, Z ij Indicates the vertical coordinate of the dynamic adjustment of the angle, K represents the solar panel adjustment coefficient, Indicates the cumulative error of solar panel adjustment.

8. The method according to claim 1, characterized in that Also includes: When errors occur in the dynamic photovoltaic power generation monitoring through the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles and the energy conversion calculation of the different photovoltaic power station group unit time failure rate calculation models, the energy conversion of the controllable solar panels with monitoring errors and the unit time failure rate calculation model of the photovoltaic power station group with monitoring errors are obtained; Update the calculation parameters of the energy conversion of the controllable solar panel with monitoring errors and the calculation model of the failure rate per unit time of the photovoltaic power station group with monitoring errors; If errors still occur after the calculation parameters are updated, a multi-source data fusion cloud monitoring alarm signal is generated; and the multi-source data fusion cloud monitoring alarm signal is sent to the multi-source data fusion cloud human-computer interaction terminal.

9. The method according to claim 8, characterized in that Also includes: If errors still occur after the calculation parameters are updated, the power generation location is obtained based on the energy conversion of the controllable solar panels and the failure rate per unit time calculation model of the photovoltaic power station group with errors in the monitoring; the position of the photovoltaic power station group is adjusted according to the power generation location.

10. A distributed photovoltaic power station group monitoring system based on multi-source data fusion, characterized in that: The system comprises: A photovoltaic power station group power generation data integration unit, which is used to integrate the distributed photovoltaic power station group power generation status information using the photovoltaic power station group information integration device, wherein the distributed photovoltaic power station group power generation status information includes the photovoltaic power station group power generation natural environment information, photovoltaic module rated parameters, battery energy storage information, and shadow coverage rate parameters; An energy conversion information integration unit, used to integrate the energy conversion efficiency information of the controllable solar panels; The first dynamic adjustment unit is used to use the energy conversion efficiency information of the controllable solar panel and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters to perform energy conversion calculations for the energy conversion of controllable solar panels with different powers and dynamically adjust the angles of the controllable solar panels, and generate energy conversion calculations for controllable solar panels with different powers and dynamic adjustment results of the angles of the controllable solar panels; A failure rate information integration unit is used to integrate the failure rate information per unit time of a photovoltaic power station group; The second dynamic adjustment unit is used to use the unit time failure rate information of the photovoltaic power station group and the natural environment information of the photovoltaic power station group, the rated parameters of the photovoltaic components, the battery energy storage information, and the shadow coverage rate parameters, and use different unit time failure rate calculation models of photovoltaic power stations to perform energy conversion calculations and dynamically adjust the angles of controllable solar panels, and generate energy conversion calculations of different unit time failure rate calculation models of photovoltaic power stations and dynamic adjustment results of controllable solar panel angles; The dynamic photovoltaic power generation monitoring unit is used to perform dynamic photovoltaic power generation monitoring based on the energy conversion calculation of the controllable solar panels with different powers, the dynamic adjustment results of the controllable solar panel angles, and the energy conversion calculation of the unit time failure rate calculation model of the different photovoltaic power station groups, and the dynamic adjustment results of the controllable solar panel angles.

11. A computer device, characterized in that: The device includes one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and when the programs are executed by the processors, the steps of the new distribution master station system information interaction security defense method as described in any one of claims 1-9 are implemented.

12. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the new distribution master station system information interaction security defense method as described in any one of claims 1-9 are implemented.

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