A grid-type photovoltaic-storage integrated power generation system

Abstract

This invention relates to the field of photovoltaic power generation technology and discloses a grid-type integrated photovoltaic and energy storage power generation system, comprising: an establishment module, a determination module, a prediction module, and a control module. The establishment module is used to acquire historical solar irradiance information and corresponding historical photovoltaic power generation in the area where the photovoltaic power station is located, and to establish a power generation curve. The determination module is used to perform correlation analysis on the power generation curve and determine a photovoltaic power generation prediction model based on the correlation analysis results. The prediction module is used to predict power generation based on the photovoltaic power generation prediction model and real-time solar irradiance information, obtaining the predicted power generation. The control module is used to manage and control the operating status of the grid-type integrated photovoltaic and energy storage power generation system based on the predicted power generation. This invention controls the grid-type integrated photovoltaic and energy storage power generation system by predicting power generation, which can actively mitigate various disturbances of different sizes in the power grid, reduce the impact of power system harmonics and unbalanced voltages, and ensure the stability and reliability of the power grid.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power generation technology, and in particular to a grid-type integrated photovoltaic and energy storage power generation system. Background Technology

[0002] Grid-based photovoltaic (PV) power generation refers to the construction of a voltage source that supports the stable operation of a large power grid through energy storage inverters. It can provide rapid frequency and voltage regulation, increase inertia and short-circuit capacity support, and suppress broadband oscillations, thereby enhancing the stability and reliability of the power grid. The formulation of grid-connected performance standards for grid-based renewable energy power generation and the development of grid-connected performance testing methods have provided first-hand measured data.

[0003] While grid-connected photovoltaic (PV) power generation offers numerous advantages, it also presents several challenges. First, with the increasing integration of new energy sources and power electronic devices into the grid, the reduction in power system inertia and weakening system strength are becoming increasingly severe, potentially impacting the overall grid stability. Second, while grid-connected energy storage offers advantages in overload capacity and control flexibility, the parallel operation of multiple voltage source devices may lead to circulating currents and power contention, further affecting system stability. Furthermore, due to the relatively recent development of grid-connected PV power generation, relevant standards and testing methods are still under development, which may also influence system operation and compromise grid stability and reliability.

[0004] Therefore, how to provide a grid-connected photovoltaic-storage integrated power generation system is a technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a grid-connected photovoltaic-storage integrated power generation system to solve the technical problems in the prior art that it is impossible to actively suppress various disturbances of different sizes in the power grid, alleviate transient voltage and frequency phenomena in the power system, and ensure the stability and reliability of the power grid.

[0006] To achieve the above objectives, the present invention provides a grid-type integrated photovoltaic and energy storage power generation system, comprising:

[0007] A module is established to acquire historical sunshine information and corresponding historical photovoltaic power generation of the area where the photovoltaic power station is located, and to establish a power generation curve based on the historical sunshine information and the historical photovoltaic power generation.

[0008] The determination module is used to perform correlation analysis on the power generation curve and determine the photovoltaic power generation prediction model corresponding to the grid-type photovoltaic-storage integrated power generation system based on the correlation analysis results.

[0009] The prediction module is used to collect real-time sunlight information of the area where the photovoltaic power station is located, and to predict the power generation based on the photovoltaic power generation prediction model and the real-time sunlight information to obtain the predicted power generation.

[0010] The control module is used to manage and control the operating status of the grid-type photovoltaic-storage integrated power generation system based on the predicted power generation.

[0011] In one embodiment, the determining module is specifically used for:

[0012] The determining module is used to analyze the correlation between the historical illumination information and the historical photovoltaic power generation to obtain the correlation analysis results;

[0013] The determining module is used to determine whether the correlation analysis result is dynamically changing. If the correlation analysis result is dynamically changing, the corresponding initial photovoltaic power generation prediction model is obtained.

[0014] The determining module is used to train the initial photovoltaic power generation prediction model based on the historical sunshine information and the historical photovoltaic power generation, wherein the historical sunshine information is training data and the historical photovoltaic power generation is training label;

[0015] The determining module is used to add an attention mechanism to the initial photovoltaic power generation prediction model after training to obtain the photovoltaic power generation prediction model.

[0016] In one embodiment, the determining module is specifically used for:

[0017] The determining module is used to determine the time sequence based on sunshine duration and preset difference time, and to divide the historical sunshine information of the same period into time based on the time sequence.

[0018] The determining module is used to perform an initial analysis of the power generation curve and determine the reference point of the power generation curve;

[0019] The determining module is used to determine the percentage difference in power generation between the remaining points of the power generation curve and the benchmark point, and to determine the meteorological difference and meteorological type corresponding to the percentage difference in power generation.

[0020] The determining module is used to construct a data set of the same meteorological type based on the corresponding meteorological differences and all data of the meteorological type;

[0021] The determining module is used to determine a first relationship between the percentage difference in power generation and the change in meteorological differences in the corresponding time period based on each group of data in the dataset, wherein the first relationship includes a linear relationship and a nonlinear relationship;

[0022] The determining module is used to determine the power generation influence coefficient based on the first relationship.

[0023] In one embodiment, the prediction module is specifically used for:

[0024] The prediction module is used to calculate the initial predicted power generation based on the real-time illumination information and the power generation influence coefficient.

[0025] The prediction module is used to calculate the initial predicted power generation according to the following formula:

[0026]

[0027] Where P is the initial predicted power generation, A is the area of ​​the region where the photovoltaic power station is located, h is the power generation efficiency of the grid-type photovoltaic-storage integrated power generation system, m is the real-time illumination information, and y is the power generation influence coefficient.

[0028] In one embodiment, it further includes:

[0029] The correction module is used to collect environmental images at least two times in chronological order and obtain the proportion of the sky area occupied by the cloud layer in the environmental image corresponding to each of the at least two times.

[0030] The correction module is used to calculate the relationship between the proportions of cloud area to sky area at different times based on the proportion of cloud area to sky area at each of the at least two times, and obtain a time series function of the proportion of cloud area to sky area.

[0031] The correction module is used to establish a predicted power generation impact coefficient based on a time series function of the proportion of cloud area to sky area.

[0032] The correction module is used to compensate the initial predicted power generation based on the predicted power generation influence coefficient to obtain the predicted power generation.

[0033] In one embodiment, the control module is specifically used for:

[0034] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the predicted power generation.

[0035] The control module is used to obtain the angular frequency reference value of the grid-type photovoltaic-storage integrated power generation system, and to correct the DC bus voltage according to the angular frequency reference value to obtain the target DC bus voltage of the grid-type photovoltaic-storage integrated power generation system.

[0036] In one embodiment, the control module is specifically used for:

[0037] The control module is used to preset the first preset predicted power generation and the second preset predicted power generation.

[0038] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the predicted power generation, the first preset predicted power generation, and the second preset predicted power generation.

[0039] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k1 when the predicted power generation is less than the first preset predicted power generation.

[0040] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k2 when the predicted power generation is greater than or equal to the first preset predicted power generation and the predicted power generation is less than the second preset predicted power generation.

[0041] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k3 when the predicted power generation is greater than or equal to the second preset predicted power generation.

[0042] In one embodiment, the control module is specifically used for:

[0043] When the control module sets the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to ki, i = 1, 2, 3;

[0044] The control module is used to preset a first preset angular frequency reference value and a second preset angular frequency reference value;

[0045] The control module is used to correct the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the angular frequency reference value, the first preset angular frequency reference value and the second preset angular frequency reference value;

[0046] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the first preset correction coefficient a1 when the angular frequency reference value is less than the first preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a1.

[0047] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the second preset correction coefficient a2 when the angular frequency reference value is greater than or equal to the first preset angular frequency reference value and the angular frequency reference value is less than the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a2.

[0048] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the third preset correction coefficient a3 when the angular frequency reference value is greater than or equal to the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a3.

[0049] In one embodiment, it further includes:

[0050] The scheduling module is used to control the grid-type photovoltaic-storage integrated power generation system according to the DC bus voltage target, and then determine the effective energy storage and maximum energy storage of the grid-type photovoltaic-storage integrated power generation system.

[0051] The scheduling module is used to construct the first energy storage condition based on the effective energy storage and the maximum energy storage;

[0052] The scheduling module is used to determine the energy storage ratio range of the grid-type photovoltaic-energy storage integrated power generation system according to the first energy storage conditions, and to solve for the optimal ratio solution for all ratio combinations within the energy storage ratio range.

[0053] The scheduling module is used to set the energy storage scheduling strategy of the grid-type photovoltaic-storage integrated power generation system based on the optimal ratio solution results.

[0054] This invention provides a grid-type integrated photovoltaic and energy storage power generation system, which has the following advantages compared with the prior art:

[0055] This invention discloses a grid-type integrated photovoltaic-storage power generation system, comprising: an establishment module, a determination module, a prediction module, and a control module. The establishment module acquires historical solar irradiance information and corresponding historical photovoltaic power generation for the area where the photovoltaic power station is located, and establishes a power generation curve. The determination module performs correlation analysis on the power generation curve and determines a photovoltaic power generation prediction model based on the correlation analysis results. The prediction module predicts power generation based on the photovoltaic power generation prediction model and real-time solar irradiance information, obtaining the predicted power generation. The control module manages and controls the operating status of the grid-type integrated photovoltaic-storage power generation system based on the predicted power generation. This invention controls the grid-type integrated photovoltaic-storage power generation system by predicting power generation, which can proactively mitigate various disturbances of varying sizes in the power grid, reduce the impact of power system harmonics and unbalanced voltages, and ensure the stability and reliability of the power grid. Attached Figure Description

[0056] Figure 1 A schematic diagram of a grid-type photovoltaic-storage integrated power generation system is shown in an embodiment of the present invention. Detailed Implementation

[0057] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0058] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0059] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0060] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0061] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0062] like Figure 1 As shown, an embodiment of the present invention discloses a grid-type photovoltaic-storage integrated power generation system, including: a setup module, a determination module, a prediction module, and a control module.

[0063] In some embodiments of this application, the establishment module is used to acquire historical sunshine information and corresponding historical photovoltaic power generation of the area where the photovoltaic power station is located, and establish a power generation curve based on the historical sunshine information and the historical photovoltaic power generation; the determination module is used to perform correlation analysis on the power generation curve, and determine the photovoltaic power generation prediction model corresponding to the grid-type photovoltaic-storage integrated power generation system based on the correlation analysis results; the prediction module is used to collect real-time sunshine information of the area where the photovoltaic power station is located, and predict the power generation based on the photovoltaic power generation prediction model and the real-time sunshine information to obtain the predicted power generation; the control module is used to manage and control the operating status of the grid-type photovoltaic-storage integrated power generation system based on the predicted power generation.

[0064] In this embodiment, historical illumination information includes historical illumination intensity, historical illumination time, etc.

[0065] In this embodiment, the historical photovoltaic power generation is the actual power generation of the photovoltaic power station corresponding to the historical sunshine information.

[0066] The beneficial effects of the above technical solution are: by predicting power generation, the present invention controls the grid-type photovoltaic-storage integrated power generation system, which can actively suppress various disturbances of all sizes in the power grid, reduce the impact of harmonics and unbalanced voltages between power systems, and ensure the stability and reliability of the power grid.

[0067] In some embodiments of this application, the determining module is specifically used for:

[0068] The determining module is used to analyze the correlation between the historical illumination information and the historical photovoltaic power generation to obtain the correlation analysis results;

[0069] The determining module is used to determine whether the correlation analysis result is dynamically changing. If the correlation analysis result is dynamically changing, the corresponding initial photovoltaic power generation prediction model is obtained.

[0070] The determining module is used to train the initial photovoltaic power generation prediction model based on the historical sunshine information and the historical photovoltaic power generation, wherein the historical sunshine information is training data and the historical photovoltaic power generation is training label;

[0071] The determining module is used to add an attention mechanism to the initial photovoltaic power generation prediction model after training to obtain the photovoltaic power generation prediction model.

[0072] In this embodiment, the initial photovoltaic power generation prediction model is a convolutional neural network model.

[0073] In this embodiment, historical sunshine information is used as training data according to a certain ratio, and historical photovoltaic power generation is used as training labels to train the initial photovoltaic power generation prediction model.

[0074] The beneficial effects of the above technical solution are: by adding an attention mechanism to the initial photovoltaic power generation prediction model after training, the present invention obtains a photovoltaic power generation prediction model, which can then lay the foundation for the prediction of subsequent photovoltaic power generation.

[0075] In some embodiments of this application, the determining module is specifically used for:

[0076] The determining module is used to determine the time sequence based on sunshine duration and preset difference time, and to divide the historical sunshine information of the same period into time based on the time sequence.

[0077] The determining module is used to perform an initial analysis of the power generation curve and determine the reference point of the power generation curve;

[0078] The determining module is used to determine the percentage difference in power generation between the remaining points of the power generation curve and the benchmark point, and to determine the meteorological difference and meteorological type corresponding to the percentage difference in power generation.

[0079] The determining module is used to construct a data set of the same meteorological type based on the corresponding meteorological differences and all data of the meteorological type;

[0080] The determining module is used to determine a first relationship between the percentage difference in power generation and the change in meteorological differences in the corresponding time period based on each group of data in the dataset, wherein the first relationship includes a linear relationship and a nonlinear relationship;

[0081] The determining module is used to determine the power generation influence coefficient based on the first relationship.

[0082] In this embodiment, the reference point can refer to a point that can measure the entire power generation curve and reflect the average level of the power generation curve.

[0083] In this embodiment, the first relationship may be a linear relationship or a non-linear relationship, depending on the actual situation.

[0084] The beneficial effects of the above technical solution are: the present invention determines the power generation influence coefficient based on the first relationship, thereby effectively improving the accuracy of power generation prediction and avoiding large errors.

[0085] In some embodiments of this application, the prediction module is specifically used for:

[0086] The prediction module is used to calculate the initial predicted power generation based on the real-time illumination information and the power generation influence coefficient.

[0087] The prediction module is used to calculate the initial predicted power generation according to the following formula:

[0088]

[0089] Where P is the initial predicted power generation, A is the area of ​​the region where the photovoltaic power station is located, h is the power generation efficiency of the grid-type photovoltaic-storage integrated power generation system, m is the real-time illumination information, and y is the power generation influence coefficient.

[0090] The beneficial effects of the above technical solution are: by calculating the initial predicted power generation based on real-time illumination information and power generation influence coefficient, the present invention can provide reliable data support for the operation of grid-type photovoltaic-storage integrated power generation system.

[0091] In some embodiments of this application, it also includes:

[0092] The correction module is used to collect environmental images at least two times in chronological order and obtain the proportion of the sky area occupied by the cloud layer in the environmental image corresponding to each of the at least two times.

[0093] The correction module is used to calculate the relationship between the proportions of cloud area to sky area at different times based on the proportion of cloud area to sky area at each of the at least two times, and obtain a time series function of the proportion of cloud area to sky area.

[0094] The correction module is used to establish a predicted power generation impact coefficient based on a time series function of the proportion of cloud area to sky area.

[0095] The correction module is used to compensate the initial predicted power generation based on the predicted power generation influence coefficient to obtain the predicted power generation.

[0096] In this embodiment, since clouds affect the power generation of photovoltaic power plants, the relationship between the proportion of cloud area to sky area at different times is statistically analyzed.

[0097] In this embodiment, the product of the predicted power generation influence coefficient and the initial predicted power generation is used as the predicted power generation.

[0098] The beneficial effects of the above technical solution are: the present invention compensates the initial predicted power generation based on the predicted power generation influence coefficient to obtain the predicted power generation, which can further ensure the accuracy of the predicted power generation.

[0099] In some embodiments of this application, the control module is specifically used for:

[0100] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the predicted power generation.

[0101] The control module is used to obtain the angular frequency reference value of the grid-type photovoltaic-storage integrated power generation system, and to correct the DC bus voltage according to the angular frequency reference value to obtain the target DC bus voltage of the grid-type photovoltaic-storage integrated power generation system.

[0102] The beneficial effects of the above technical solution are: the present invention controls the grid-type photovoltaic-storage integrated power generation system by using the target DC bus voltage of the grid-type photovoltaic-storage integrated power generation system, thereby improving the steady-state frequency tracking effect of the power grid, providing frequency support for the operation of the entire system, and ensuring the safe operation of the large power grid.

[0103] In some embodiments of this application, the control module is specifically used for:

[0104] The control module is used to preset the first preset predicted power generation and the second preset predicted power generation.

[0105] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the predicted power generation, the first preset predicted power generation, and the second preset predicted power generation.

[0106] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k1 when the predicted power generation is less than the first preset predicted power generation.

[0107] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k2 when the predicted power generation is greater than or equal to the first preset predicted power generation and the predicted power generation is less than the second preset predicted power generation.

[0108] The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k3 when the predicted power generation is greater than or equal to the second preset predicted power generation.

[0109] The beneficial effects of the above technical solution are: the present invention sets the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the predicted power generation, the first preset predicted power generation and the second preset predicted power generation, thereby reducing the calculation difficulty and improving the work efficiency.

[0110] In some embodiments of this application, the control module is specifically used for:

[0111] When the control module sets the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to ki, i = 1, 2, 3;

[0112] The control module is used to preset a first preset angular frequency reference value and a second preset angular frequency reference value;

[0113] The control module is used to correct the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the angular frequency reference value, the first preset angular frequency reference value and the second preset angular frequency reference value;

[0114] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the first preset correction coefficient a1 when the angular frequency reference value is less than the first preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a1.

[0115] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the second preset correction coefficient a2 when the angular frequency reference value is greater than or equal to the first preset angular frequency reference value and the angular frequency reference value is less than the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a2.

[0116] The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the third preset correction coefficient a3 when the angular frequency reference value is greater than or equal to the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a3.

[0117] The beneficial effects of the above technical solution are: the present invention corrects the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system based on the relationship between the angular frequency reference value, the first preset angular frequency reference value and the second preset angular frequency reference value, which can provide reliable data support for the safe operation of the grid-type photovoltaic-storage integrated power generation system.

[0118] In some embodiments of this application, it also includes:

[0119] The scheduling module is used to control the grid-type photovoltaic-storage integrated power generation system according to the DC bus voltage target, and then determine the effective energy storage and maximum energy storage of the grid-type photovoltaic-storage integrated power generation system.

[0120] The scheduling module is used to construct the first energy storage condition based on the effective energy storage and the maximum energy storage;

[0121] The scheduling module is used to determine the energy storage ratio range of the grid-type photovoltaic-energy storage integrated power generation system according to the first energy storage conditions, and to solve for the optimal ratio solution for all ratio combinations within the energy storage ratio range.

[0122] The scheduling module is used to set the energy storage scheduling strategy of the grid-type photovoltaic-storage integrated power generation system based on the optimal ratio solution results.

[0123] In this embodiment, maximum energy storage refers to the maximum energy storage value of the grid-type photovoltaic-energy storage integrated power generation system.

[0124] In this embodiment, effective energy storage refers to the electrical energy that the grid-type photovoltaic-energy storage integrated power generation system can still store.

[0125] The beneficial effects of the above technical solution are: the present invention sets the energy storage scheduling strategy of the grid-type photovoltaic-energy storage integrated power generation system based on the optimal solution of the ratio, which can ensure the reasonable energy storage of the grid-type photovoltaic-energy storage integrated power generation system, improve the reliability of the system, increase the efficiency of the energy storage system, and greatly improve the utilization rate of the entire system resources.

[0126] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0127] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, features in the embodiments disclosed herein can be combined with each other in any manner, provided there is no structural conflict. The omission of all such combinations in this specification is merely for brevity and resource conservation. Therefore, the invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

[0128] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A grid-type integrated photovoltaic and energy storage power generation system, characterized in that, include: A module is established to acquire historical sunshine information and corresponding historical photovoltaic power generation of the area where the photovoltaic power station is located, and to establish a power generation curve based on the historical sunshine information and the historical photovoltaic power generation. The determination module is used to perform correlation analysis on the power generation curve and determine the photovoltaic power generation prediction model corresponding to the grid-type photovoltaic-storage integrated power generation system based on the correlation analysis results. The prediction module is used to collect real-time sunlight information of the area where the photovoltaic power station is located, and to predict the power generation based on the photovoltaic power generation prediction model and the real-time sunlight information to obtain the predicted power generation. The control module is used to manage and control the operating status of the grid-type photovoltaic-storage integrated power generation system based on the predicted power generation. The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the predicted power generation. The control module is used to obtain the angular frequency reference value of the grid-type photovoltaic-storage integrated power generation system, and correct the DC bus voltage according to the angular frequency reference value to obtain the target DC bus voltage of the grid-type photovoltaic-storage integrated power generation system. When the control module sets the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to ki, i = 1, 2, 3; The control module is used to preset a first preset angular frequency reference value and a second preset angular frequency reference value; The control module is used to correct the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the angular frequency reference value, the first preset angular frequency reference value and the second preset angular frequency reference value; The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the first preset correction coefficient a1 when the angular frequency reference value is less than the first preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a1. The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the second preset correction coefficient a2 when the angular frequency reference value is greater than or equal to the first preset angular frequency reference value and the angular frequency reference value is less than the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a2. The control module is used to correct the DC bus voltage ki of the grid-type photovoltaic-storage integrated power generation system based on the third preset correction coefficient a3 when the angular frequency reference value is greater than or equal to the second preset angular frequency reference value. The corrected DC bus voltage of the grid-type photovoltaic-storage integrated power generation system is ki*a3.

2. The grid-type integrated photovoltaic and energy storage power generation system according to claim 1, characterized in that, The determining module is specifically used for: The determining module is used to analyze the correlation between the historical illumination information and the historical photovoltaic power generation to obtain the correlation analysis results; The determining module is used to determine whether the correlation analysis result is dynamically changing. If the correlation analysis result is dynamically changing, the corresponding initial photovoltaic power generation prediction model is obtained. The determining module is used to train the initial photovoltaic power generation prediction model based on the historical sunshine information and the historical photovoltaic power generation, wherein the historical sunshine information is the training data and the historical photovoltaic power generation is the training label; The determining module is used to add an attention mechanism to the initial photovoltaic power generation prediction model after training to obtain the photovoltaic power generation prediction model.

3. The grid-type integrated photovoltaic and energy storage power generation system according to claim 1, characterized in that, The determining module is specifically used for: The determining module is used to determine the time sequence based on sunshine duration and preset difference time, and to divide the historical sunshine information of the same period into time based on the time sequence. The determining module is used to perform an initial analysis of the power generation curve and determine the reference point of the power generation curve; The determining module is used to determine the percentage difference in power generation between the remaining points of the power generation curve and the benchmark point, and to determine the meteorological difference and meteorological type corresponding to the percentage difference in power generation. The determining module is used to construct a data set of the same meteorological type based on the corresponding meteorological differences and all data of the meteorological type; The determining module is used to determine a first relationship between the percentage difference in power generation and the change in meteorological differences in the corresponding time period based on each group of data in the dataset, wherein the first relationship includes a linear relationship and a nonlinear relationship; The determining module is used to determine the power generation influence coefficient based on the first relationship.

4. The grid-type integrated photovoltaic and energy storage power generation system according to claim 3, characterized in that, The prediction module is specifically used for: The prediction module is used to calculate the initial predicted power generation based on the real-time illumination information and the power generation influence coefficient. The prediction module is used to calculate the initial predicted power generation according to the following formula: ； Where P is the initial predicted power generation, A is the area of ​​the region where the photovoltaic power station is located, h is the power generation efficiency of the grid-type photovoltaic-storage integrated power generation system, m is the real-time illumination information, and y is the power generation influence coefficient.

5. The grid-type integrated photovoltaic and energy storage power generation system according to claim 4, characterized in that, Also includes: The correction module is used to collect environmental images at least two times in chronological order and obtain the proportion of the sky area occupied by the cloud layer in the environmental image corresponding to each of the at least two times. The correction module is used to calculate the relationship between the proportions of cloud area to sky area at different times based on the proportion of cloud area to sky area at each of the at least two times, and obtain a time series function of the proportion of cloud area to sky area. The correction module is used to establish a predicted power generation impact coefficient based on a time series function of the proportion of cloud area to sky area. The correction module is used to compensate the initial predicted power generation based on the predicted power generation influence coefficient to obtain the predicted power generation.

6. The grid-type integrated photovoltaic and energy storage power generation system according to claim 1, characterized in that, The control module is specifically used for: The control module is used to preset the first preset predicted power generation and the second preset predicted power generation. The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system according to the relationship between the predicted power generation, the first preset predicted power generation, and the second preset predicted power generation. The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k1 when the predicted power generation is less than the first preset predicted power generation. The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k2 when the predicted power generation is greater than or equal to the first preset predicted power generation and the predicted power generation is less than the second preset predicted power generation. The control module is used to set the DC bus voltage of the grid-type photovoltaic-storage integrated power generation system to k3 when the predicted power generation is greater than or equal to the second preset predicted power generation.

7. The grid-type integrated photovoltaic and energy storage power generation system according to claim 1, characterized in that, Also includes: The scheduling module is used to control the grid-type photovoltaic-storage integrated power generation system according to the DC bus voltage target, and then determine the effective energy storage and maximum energy storage of the grid-type photovoltaic-storage integrated power generation system. The scheduling module is used to construct the first energy storage condition based on the effective energy storage and the maximum energy storage; The scheduling module is used to determine the energy storage ratio range of the grid-type photovoltaic-energy storage integrated power generation system according to the first energy storage conditions, and to solve for the optimal ratio solution for all ratio combinations within the energy storage ratio range. The scheduling module is used to set the energy storage scheduling strategy of the grid-type photovoltaic-storage integrated power generation system based on the optimal ratio solution results.

Images