Renewable energy integrated management system and method based on fused salt energy storage

Abstract

The invention relates to the technical field of fused salt energy storage, and particularly discloses a renewable energy source integrated management system and method based on fused salt energy storage, and the system comprises a calculation module which is used for obtaining the environment parameters of a photovoltaic power station and a wind power plant, and determining the abandoned light and abandoned wind power of the photovoltaic power station and the wind power plant according to the environment parameters of the photovoltaic power station and the wind power plant; the energy storage module is used for heating the fused salt energy storage system according to the light abandoning and wind abandoning electric quantities, and determining the working efficiency of the fused salt energy storage system according to the heating temperature of the fused salt energy storage system; and the early warning module is used for performing energy storage early warning on the fused salt energy storage system according to the working efficiency of the fused salt energy storage system. According to the invention, the photovoltaic and wind power abandoned light and wind power quantity is received and transmitted to the fused salt energy storage system, the renewable energy sources are subjected to integrated management, the energy conversion rate of the renewable energy sources is improved, and the system can operate safely and stably by comprehensively evaluating the working efficiency and reliability of the fused salt energy storage system.

Description

Technical Field

[0001] The present application relates to the technical field of molten salt energy storage, and more specifically, to a renewable energy integrated management system method based on molten salt energy storage. Background Art

[0002] Against the backdrop of global warming and the depletion of traditional energy, the proportion of renewable energy in energy supply is increasing. Existing clean energy is greatly affected by natural factors, and its production capacity fluctuates greatly, affecting the stability of the power grid. Therefore, energy storage technology is often combined to reduce power abandonment and fill peak loads.

[0003] Molten salt energy storage is a technology that uses salt in a molten state as a thermal energy storage medium. This technology stores thermal energy by heating molten salt to a high temperature. When needed, this thermal energy can be used to generate steam, which in turn drives turbines to generate electricity or for other thermal energy needs. Molten salt energy storage technology can be applied to solar thermal power generation, industrial waste heat recovery, heating and other fields. It has the advantages of high energy storage density, good safety and long life. However, the molten salt energy storage system in the existing technology is difficult to integrate with other renewable energy sources, resulting in a high power abandonment rate and low reliability. Summary of the invention

[0004] The present invention provides a renewable energy integrated management system method based on molten salt energy storage, which is used to solve the problem that the molten salt energy storage system in the prior art is difficult to integrate with other renewable energy sources, resulting in a high power abandonment rate and low reliability, including:

[0005] A calculation module is used to obtain environmental parameters of photovoltaic power stations and wind farms, and determine the amount of abandoned solar and wind power in the photovoltaic power stations and wind farms according to the environmental parameters of the photovoltaic power stations and wind farms;

[0006] The energy storage module is used to heat the molten salt energy storage system according to the amount of abandoned solar and wind power, and determine the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system;

[0007] The early warning module is used to provide energy storage early warning for the molten salt energy storage system according to the working efficiency of the molten salt energy storage system.

[0008] Furthermore, the calculation module determines the amount of abandoned solar power and abandoned wind power in the photovoltaic power station and the wind farm according to the environmental parameters of the photovoltaic power station and the wind farm, including:

[0009] Obtain environmental parameters of photovoltaic power stations and wind farms, and cluster photovoltaic power stations and wind farms according to their environmental parameters;

[0010] According to the clustering results of photovoltaic power stations and wind farms, the startup capacity of the central photovoltaic power station and wind farm closest to each cluster center is determined, and the power generation output value of the central photovoltaic power station and wind farm is determined according to the environmental parameters of the central photovoltaic power station and wind farm;

[0011] Multiply the operating capacity of the central photovoltaic power station and wind farm by the power generation output value to obtain the theoretical power of the central photovoltaic power station and wind farm;

[0012] Obtain the actual power of the central photovoltaic power station and wind farm, subtract the theoretical power of the central photovoltaic power station and wind farm from the actual power, and obtain the abandoned solar and wind power of the central photovoltaic power station and wind farm; determine the abandoned solar and wind power of all photovoltaic power stations and wind farms based on the abandoned solar and wind power of each central photovoltaic power station and wind farm.

[0013] Furthermore, clustering the photovoltaic power stations according to the solar radiation intensity of the photovoltaic power stations includes:

[0014] An environmental parameter data set is established according to the environmental parameters of the photovoltaic power station and the wind farm, an initial k value is set, and the initial clustering center of the environmental parameter data set is randomly selected according to the initial k value;

[0015] Calculate the Euclidean distance between each environmental parameter in the environmental parameter data set and the k initial cluster centers, and cluster the environmental parameters into the cluster partition with the closest Euclidean distance to the initial cluster center;

[0016] Calculate the mean of the environmental parameters in each cluster partition, and set a new cluster center according to the mean of the environmental parameters in each cluster partition;

[0017] Repeat the iteration of the new cluster center until the cluster center no longer changes, and obtain the final k cluster partitions.

[0018] Furthermore, the step of determining the abandoned solar power and abandoned wind power of all photovoltaic power stations according to the abandoned solar power and abandoned wind power of each central photovoltaic power station includes:

[0019] Obtain the abandoned solar and wind power quantities of the central photovoltaic power station and wind farm within a preset period, and draw a change curve of abandoned solar and wind power quantities according to the abandoned solar and wind power quantities of the central photovoltaic power station and wind farm within the preset period;

[0020] The abandoned solar power and abandoned wind power change curves are divided according to preset sub-periods to obtain a number of sub-change curves, and the average abandoned solar power and abandoned wind power of the sub-change curves are calculated;

[0021] Filter out the sub-change curves whose average abandoned solar power and abandoned wind power are greater than the first preset threshold, count the proportion of the sub-change curves whose average abandoned solar power and abandoned wind power are greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves, and obtain the weight coefficients of the corresponding central photovoltaic power station and wind farm;

[0022] The average abandoned solar and wind power of the central photovoltaic power station and wind farm is obtained, and the average abandoned solar and wind power of each central photovoltaic power station and wind farm is weighted and summed according to the weight coefficient to obtain the abandoned solar and wind power of all photovoltaic power stations and wind farms.

[0023] Furthermore, the weight coefficients of the corresponding central photovoltaic power station and wind farm are obtained by calculating the proportion of the sub-change curves whose statistical average abandoned solar power and abandoned wind power is greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves, including:

[0024] The proportion of the sub-change curves whose average abandoned solar power and abandoned wind power is greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves is set as the available proportion, and the difference between the available proportion and the preset allowable proportion is calculated;

[0025] Determine whether the difference between the available ratio and the preset allowable ratio is greater than a second preset threshold;

[0026] If the difference between the available proportion and the preset allowable proportion is greater than the second preset threshold, the preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm;

[0027] If the difference between the available ratio and the preset allowable ratio is less than or equal to the second preset threshold, then determining whether the difference between the available ratio and the preset allowable ratio is greater than a third preset threshold;

[0028] If the difference between the available proportion and the preset allowable proportion is greater than the third preset threshold, the preset second weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm;

[0029] If the difference between the available proportion and the preset allowable proportion is less than or equal to the third preset threshold, the preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm.

[0030] Furthermore, the energy storage module determines the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system, including:

[0031] The molten salt energy storage system is heated according to the amount of abandoned solar and wind power, and the heating temperature change of the molten salt energy storage system is obtained;

[0032] Obtain the historical heating temperature changes and corresponding working efficiency of the molten salt energy storage system, and establish a temperature change sample set based on the historical heating temperature changes and corresponding working efficiency of the molten salt energy storage system;

[0033] An initial work efficiency evaluation model is established according to the temperature change sample set, and the initial work efficiency evaluation model is trained to obtain a trained work efficiency evaluation model;

[0034] The heating temperature change of the molten salt energy storage system is input into the trained work efficiency evaluation model to obtain the work efficiency of the molten salt energy storage system;

[0035] The solar radiation intensity value is obtained, and the work efficiency is corrected according to the solar radiation intensity value to obtain the corrected work efficiency.

[0036] Furthermore, the correction of the working efficiency according to the solar radiation intensity value includes:

[0037] The work efficiency is corrected according to the work efficiency correction formula, and the work efficiency correction formula is specifically:

[0038]

[0039] Among them, G is the working efficiency of the molten salt energy storage system, G ′ is the corrected working efficiency, R is the solar radiation intensity value, R t is the preset allowable value of solar radiation intensity, and S is the preset range coefficient.

[0040] Furthermore, the early warning module performs energy storage early warning on the molten salt energy storage system according to the working efficiency of the molten salt energy storage system, including:

[0041] Draw a work efficiency change curve according to the corrected work efficiency of the molten salt energy storage system, and perform curve fitting on the work efficiency change curve;

[0042] Predicting the work efficiency according to the curve fitting result to obtain the time required for the work efficiency to reach a fourth preset threshold;

[0043] Whether to issue an energy storage shortage warning is determined based on the time required for the work efficiency to reach a fourth preset threshold.

[0044] Furthermore, judging whether to issue an energy storage shortage warning according to the time required for the work efficiency to reach the fourth preset threshold value includes:

[0045] If the time required for the working efficiency to reach the fourth preset threshold is greater than or equal to the fifth preset threshold, an energy storage shortage warning is issued.

[0046] In order to achieve the above object, the present invention also provides a renewable energy integrated management method based on molten salt energy storage, comprising:

[0047] Obtain environmental parameters of photovoltaic power stations and wind farms, and determine the amount of abandoned solar and wind power in photovoltaic power stations and wind farms based on the environmental parameters of photovoltaic power stations and wind farms;

[0048] The molten salt energy storage system is heated according to the amount of abandoned solar and wind power, and the working efficiency of the molten salt energy storage system is determined according to the heating temperature of the molten salt energy storage system;

[0049] Provide energy storage warning for the molten salt energy storage system based on its working efficiency.

[0050] The beneficial effects of the present invention are:

[0051] By applying the above technical solutions, the present invention realizes the integrated management of renewable energy by receiving the abandoned light and wind power of photovoltaic power stations and wind farms and transmitting it to the molten salt energy storage system, thereby improving the energy conversion rate of renewable energy. By comprehensively evaluating the working efficiency and reliability of the molten salt energy storage system, the system can provide timely warnings to ensure that the system can operate safely and stably. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0053] Figure 1 A schematic diagram of the structure of a renewable energy integrated management system based on molten salt energy storage proposed in an embodiment of the present invention is shown;

[0054] Figure 2 The overall flow chart of a renewable energy integrated management method based on molten salt energy storage proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0057] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0058] The present application embodiment provides a renewable energy integrated management system based on molten salt energy storage, such as Figure 1 As shown, including:

[0059] The calculation module is used to obtain the environmental parameters of the photovoltaic power station and the wind farm, and determine the amount of abandoned solar and wind power in the photovoltaic power station and the wind farm according to the environmental parameters of the photovoltaic power station and the wind farm; the energy storage module is used to heat the molten salt energy storage system according to the amount of abandoned solar and wind power, and determine the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system; the early warning module is used to provide energy storage early warning for the molten salt energy storage system according to the working efficiency of the molten salt energy storage system.

[0060] In this embodiment, the environmental parameters of the photovoltaic power station and the wind farm are specifically the solar radiation intensity of the photovoltaic power station and the wind speed data of the wind farm. The photovoltaic power station and the wind farm are connected to the heating component of the molten salt energy storage system, and the abandoned solar and wind power are transmitted to the heating component to achieve heating of the molten salt energy storage system.

[0061] In some embodiments of the present application, the calculation module determines the amount of abandoned solar power and wind power in the photovoltaic power station and wind farm according to the environmental parameters of the photovoltaic power station and wind farm, including: obtaining the environmental parameters of the photovoltaic power station and wind farm, and clustering the photovoltaic power station and wind farm according to the environmental parameters of the photovoltaic power station and wind farm; determining the startup capacity of the central photovoltaic power station and wind farm closest to each clustering center according to the clustering results of the photovoltaic power station and wind farm, and determining the power generation output value of the central photovoltaic power station and wind farm according to the environmental parameters of the central photovoltaic power station and wind farm; multiplying the startup capacity of the central photovoltaic power station and wind farm by the power generation output value to obtain the theoretical amount of the central photovoltaic power station and wind farm; obtaining the actual amount of the central photovoltaic power station and wind farm, subtracting the theoretical amount of the central photovoltaic power station and wind farm from the actual amount to obtain the amount of abandoned solar power and wind power in the central photovoltaic power station and wind farm, and determining the amount of abandoned solar power and wind power in all photovoltaic power stations and wind farms according to the amount of abandoned solar power and wind power of each central photovoltaic power station and wind farm.

[0062] In this embodiment, the photovoltaic power stations and wind farms are clustered according to the solar radiation intensity of the photovoltaic power stations and the wind speed data of the wind farms, so as to screen out the corresponding central photovoltaic power stations and wind farms, and calculate the power generation output according to the solar radiation intensity and wind speed data of the central photovoltaic power stations and wind farms, so as to calculate the amount of abandoned solar power and abandoned wind power, and determine the abandoned solar power and abandoned wind power of all photovoltaic power stations and wind farms through the abandoned solar power and abandoned wind power of each central photovoltaic power station and wind farm, so as to accurately calculate the abandoned solar power and abandoned wind power.

[0063] In some embodiments of the present application, the clustering of photovoltaic power stations according to the solar radiation intensity of the photovoltaic power stations includes: establishing an environmental parameter data set according to the environmental parameters of the photovoltaic power stations and wind farms, setting an initial k value, and randomly selecting an initial clustering center of the environmental parameter data set according to the initial k value; calculating the Euclidean distance between each environmental parameter in the environmental parameter data set and the k initial clustering centers, and clustering the environmental parameters into cluster partitions with the closest Euclidean distance to the initial clustering center; calculating the mean of the environmental parameters in each cluster partition, and setting a new cluster center according to the mean of the environmental parameters in each cluster partition; repeatedly iterating the new cluster center until the cluster center no longer changes, and obtaining the final k cluster partitions.

[0064] In this embodiment, the initial value is set to 3, and the photovoltaic power stations and wind farms are clustered based on the k-means clustering algorithm, so as to obtain the central photovoltaic power station and wind farm through clustering.

[0065] In some embodiments of the present application, the method of determining the abandoned light and wind power of all photovoltaic power stations based on the abandoned light and wind power of each central photovoltaic power station includes: obtaining the abandoned light and wind power of the central photovoltaic power station and wind farm within a preset time period, and drawing an abandoned light and wind power change curve according to the abandoned light and wind power of the central photovoltaic power station and wind farm within the preset time period; dividing the abandoned light and wind power change curve according to preset sub-time periods to obtain a number of sub-change curves, and calculating the average abandoned light and wind power of the sub-change curves; screening out the sub-change curves whose average abandoned light and wind power is greater than a first preset threshold, and counting the proportion of the sub-change curves whose average abandoned light and wind power is greater than the first preset threshold in the abandoned light and wind power change curves, and obtaining the weight coefficients of the corresponding central photovoltaic power stations and wind farms; obtaining the average abandoned light and wind power of the central photovoltaic power station and wind farm, and weighted summing the average abandoned light and wind power of each central photovoltaic power station and wind farm according to the weight coefficient to obtain the abandoned light and wind power of all photovoltaic power stations and wind farms.

[0066] In this embodiment, the available electricity with average abandoned solar power and wind power greater than the first preset threshold is screened out through a first preset threshold and a corresponding weight coefficient is obtained, and the average abandoned solar power and wind power of each central photovoltaic power station and wind farm is calculated through the abandoned solar power and wind power change curve, and the average abandoned solar power and wind power of each central photovoltaic power station and wind farm is weighted and summed according to the weight coefficient to obtain the abandoned solar power and wind power of all photovoltaic power stations and wind farms.

[0067] In some embodiments of the present application, the statistical average abandoned solar power and abandoned wind power is greater than the first preset threshold of the sub-change curve in the abandoned solar power and abandoned wind power change curve, and the weight coefficient of the corresponding central photovoltaic power station and wind farm is obtained, including: setting the proportion of the sub-change curve of the average abandoned solar power and abandoned wind power greater than the first preset threshold in the abandoned solar power and abandoned wind power change curve as the available proportion, and calculating the difference between the available proportion and the preset allowable proportion; judging whether the difference between the available proportion and the preset allowable proportion is greater than the second preset threshold; if the difference between the available proportion and the preset allowable proportion is greater than the second preset threshold, The preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm; if the difference between the available proportion and the preset allowable proportion is less than or equal to the second preset threshold, it is determined whether the difference between the available proportion and the preset allowable proportion is greater than the third preset threshold; if the difference between the available proportion and the preset allowable proportion is greater than the third preset threshold, the preset second weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm; if the difference between the available proportion and the preset allowable proportion is less than or equal to the third preset threshold, the preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm.

[0068] In this embodiment, the corresponding weight coefficient is set based on the proportion of abandoned solar power and abandoned wind power in the change curve. The greater the difference between the available proportion and the preset allowable proportion, the higher the corresponding weight coefficient. The range of the weight coefficient is [1, 1.5]. By setting the weight coefficients of the central photovoltaic power station and wind farm, the calculation of abandoned solar power and abandoned wind power in all photovoltaic power stations and wind farms can be more accurate.

[0069] In some embodiments of the present application, the energy storage module determines the working efficiency of the molten salt energy storage system based on the heating temperature of the molten salt energy storage system, including: heating the molten salt energy storage system according to the amount of abandoned solar power and abandoned wind power, and obtaining the heating temperature change of the molten salt energy storage system; obtaining the historical heating temperature change of the molten salt energy storage system and the corresponding working efficiency, and establishing a temperature change sample set according to the historical heating temperature change of the molten salt energy storage system and the corresponding working efficiency; establishing an initial working efficiency evaluation model according to the temperature change sample set and training the initial working efficiency evaluation model to obtain a trained working efficiency evaluation model; inputting the heating temperature change of the molten salt energy storage system into the trained working efficiency evaluation model to obtain the working efficiency of the molten salt energy storage system; obtaining the solar radiation intensity value, and correcting the working efficiency according to the solar radiation intensity value to obtain the corrected working efficiency.

[0070] In some embodiments of the present application, the correction of the working efficiency according to the solar radiation intensity value includes:

[0071] The work efficiency is corrected according to the work efficiency correction formula, and the work efficiency correction formula is specifically:

[0072]

[0073] Among them, G is the working efficiency of the molten salt energy storage system, G ′ is the corrected working efficiency, R is the solar radiation intensity value, R t is the preset allowable value of solar radiation intensity, and S is the preset range coefficient.

[0074] In this embodiment, an initial work efficiency evaluation model is established based on a deep learning neural network model, and the initial work efficiency evaluation model is trained through the historical heating temperature changes of the molten salt energy storage system and the corresponding work efficiency, so that the current work efficiency of the molten salt energy storage system is obtained according to the trained work efficiency evaluation model. The solar radiation intensity value at the molten salt energy storage system will affect the heating rate of the heating component. The work efficiency is corrected based on the solar radiation intensity value at the molten salt energy storage system, so that a more accurate work efficiency of the molten salt energy storage system can be obtained.

[0075] In some embodiments of the present application, the early warning module performs energy storage early warning on the molten salt energy storage system according to the working efficiency of the molten salt energy storage system, including: drawing a working efficiency change curve according to the corrected working efficiency of the molten salt energy storage system, and performing curve fitting on the working efficiency change curve; predicting the working efficiency according to the curve fitting result to obtain the time required for the working efficiency to reach a fourth preset threshold; and determining whether to issue an energy storage shortage early warning according to the time required for the working efficiency to reach the fourth preset threshold.

[0076] In some embodiments of the present application, judging whether to issue an energy storage shortage warning according to the time required for the work efficiency to reach the fourth preset threshold value includes:

[0077] If the time required for the working efficiency to reach the fourth preset threshold is greater than or equal to the fifth preset threshold, an energy storage shortage warning is issued.

[0078] In this embodiment, by performing curve fitting on the work efficiency change curve, the change in work efficiency is predicted. When the work efficiency cannot reach the standard value of work efficiency within the duration of the fifth preset threshold, energy storage warning is carried out in time, thereby effectively ensuring the reliability of the system.

[0079] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides a renewable energy integrated management method based on molten salt energy storage, comprising:

[0080] S101, obtaining environmental parameters of the photovoltaic power station and the wind farm, and determining the amount of abandoned solar power and abandoned wind power of the photovoltaic power station and the wind farm according to the environmental parameters of the photovoltaic power station and the wind farm;

[0081] S102, heating the molten salt energy storage system according to the amount of abandoned solar power and abandoned wind power, and determining the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system;

[0082] S103, performing energy storage warning on the molten salt energy storage system according to the working efficiency of the molten salt energy storage system.

[0083] By applying the above technical solutions, the present invention uses a calculation module to obtain the environmental parameters of photovoltaic power stations and wind farms, and determines the amount of abandoned light and wind power in photovoltaic power stations and wind farms according to the environmental parameters of photovoltaic power stations and wind farms; an energy storage module is used to heat the molten salt energy storage system according to the amount of abandoned light and wind power, and determine the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system; an early warning module is used to perform energy storage early warning on the molten salt energy storage system according to the working efficiency of the molten salt energy storage system. The present invention receives the amount of abandoned light and wind power from photovoltaic and wind power and transmits it to the molten salt energy storage system, integrates the management of renewable energy, improves the energy conversion rate of renewable energy, and enables the system to operate safely and stably by comprehensively evaluating the working efficiency and reliability of the molten salt energy storage system.

[0084] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A renewable energy integrated management system based on molten salt energy storage, characterized in that: include: A calculation module is used to obtain environmental parameters of photovoltaic power stations and wind farms, and determine the amount of abandoned solar and wind power in the photovoltaic power stations and wind farms according to the environmental parameters of the photovoltaic power stations and wind farms; The energy storage module is used to heat the molten salt energy storage system according to the amount of abandoned solar and wind power, and determine the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system; The early warning module is used to provide energy storage early warning for the molten salt energy storage system according to the working efficiency of the molten salt energy storage system.

2. The renewable energy integrated management system based on molten salt energy storage according to claim 1 is characterized in that: The calculation module determines the abandoned solar power and wind power quantities of the photovoltaic power station and the wind farm according to the environmental parameters of the photovoltaic power station and the wind farm, including: Obtain environmental parameters of photovoltaic power stations and wind farms, and cluster photovoltaic power stations and wind farms according to their environmental parameters; According to the clustering results of photovoltaic power stations and wind farms, the startup capacity of the central photovoltaic power station and wind farm closest to each cluster center is determined, and the power generation output value of the central photovoltaic power station and wind farm is determined according to the environmental parameters of the central photovoltaic power station and wind farm; Multiply the operating capacity of the central photovoltaic power station and wind farm by the power generation output value to obtain the theoretical power of the central photovoltaic power station and wind farm; Obtain the actual power of the central photovoltaic power station and wind farm, subtract the theoretical power of the central photovoltaic power station and wind farm from the actual power, and obtain the abandoned solar and wind power of the central photovoltaic power station and wind farm; determine the abandoned solar and wind power of all photovoltaic power stations and wind farms based on the abandoned solar and wind power of each central photovoltaic power station and wind farm.

3. The renewable energy integrated management system based on molten salt energy storage according to claim 2 is characterized in that: The clustering of photovoltaic power stations according to the solar radiation intensity of the photovoltaic power stations comprises: An environmental parameter data set is established according to the environmental parameters of the photovoltaic power station and the wind farm, an initial k value is set, and the initial clustering center of the environmental parameter data set is randomly selected according to the initial k value; Calculate the Euclidean distance between each environmental parameter in the environmental parameter data set and the k initial cluster centers, and cluster the environmental parameters into the cluster partition with the closest Euclidean distance to the initial cluster center; Calculate the mean of the environmental parameters in each cluster partition, and set a new cluster center according to the mean of the environmental parameters in each cluster partition; Repeat the iteration of the new cluster center until the cluster center no longer changes, and obtain the final k cluster partitions.

4. The renewable energy integrated management system based on molten salt energy storage according to claim 2 is characterized in that: Determining the abandoned solar and wind power of all photovoltaic power stations according to the abandoned solar and wind power of each central photovoltaic power station includes: Obtain the abandoned solar and wind power quantities of the central photovoltaic power station and wind farm within a preset period, and draw a change curve of abandoned solar and wind power quantities according to the abandoned solar and wind power quantities of the central photovoltaic power station and wind farm within the preset period; The abandoned solar power and abandoned wind power change curves are divided according to preset sub-periods to obtain a number of sub-change curves, and the average abandoned solar power and abandoned wind power of the sub-change curves are calculated; Filter out the sub-change curves whose average abandoned solar power and abandoned wind power are greater than the first preset threshold, count the proportion of the sub-change curves whose average abandoned solar power and abandoned wind power are greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves, and obtain the weight coefficients of the corresponding central photovoltaic power station and wind farm; The average abandoned solar and wind power of the central photovoltaic power station and wind farm is obtained, and the average abandoned solar and wind power of each central photovoltaic power station and wind farm is weighted and summed according to the weight coefficient to obtain the abandoned solar and wind power of all photovoltaic power stations and wind farms.

5. The renewable energy integrated management system based on molten salt energy storage according to claim 4 is characterized in that: The weight coefficients of the corresponding central photovoltaic power station and wind farm are obtained by calculating the proportion of the sub-change curves whose statistical average abandoned solar power and abandoned wind power is greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves, including: The proportion of the sub-change curves whose average abandoned solar power and abandoned wind power is greater than the first preset threshold in the abandoned solar power and abandoned wind power change curves is set as the available proportion, and the difference between the available proportion and the preset allowable proportion is calculated; Determine whether the difference between the available ratio and the preset allowable ratio is greater than a second preset threshold; If the difference between the available proportion and the preset allowable proportion is greater than the second preset threshold, the preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm; If the difference between the available ratio and the preset allowable ratio is less than or equal to the second preset threshold, then determining whether the difference between the available ratio and the preset allowable ratio is greater than a third preset threshold; If the difference between the available proportion and the preset allowable proportion is greater than the third preset threshold, the preset second weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm; If the difference between the available proportion and the preset allowable proportion is less than or equal to the third preset threshold, the preset first weight coefficient is used as the weight coefficient of the corresponding central photovoltaic power station and wind farm.

6. The renewable energy integrated management system based on molten salt energy storage according to claim 1 is characterized in that: The energy storage module determines the working efficiency of the molten salt energy storage system according to the heating temperature of the molten salt energy storage system, including: The molten salt energy storage system is heated according to the amount of abandoned solar and wind power, and the heating temperature change of the molten salt energy storage system is obtained; Obtain the historical heating temperature changes and corresponding working efficiency of the molten salt energy storage system, and establish a temperature change sample set based on the historical heating temperature changes and corresponding working efficiency of the molten salt energy storage system; An initial work efficiency evaluation model is established according to the temperature change sample set, and the initial work efficiency evaluation model is trained to obtain a trained work efficiency evaluation model; The heating temperature change of the molten salt energy storage system is input into the trained work efficiency evaluation model to obtain the work efficiency of the molten salt energy storage system; The solar radiation intensity value is obtained, and the work efficiency is corrected according to the solar radiation intensity value to obtain the corrected work efficiency.

7. The renewable energy integrated management system based on molten salt energy storage according to claim 6 is characterized in that: The correcting of the working efficiency according to the solar radiation intensity value comprises: The work efficiency is corrected according to the work efficiency correction formula, and the work efficiency correction formula is specifically: Among them, G is the working efficiency of the molten salt energy storage system, G ′ is the corrected working efficiency, R is the solar radiation intensity value, R t is the preset allowable value of solar radiation intensity, and S is the preset range coefficient.

8. The renewable energy integrated management system based on molten salt energy storage according to claim 1 is characterized in that: The early warning module performs energy storage early warning on the molten salt energy storage system according to the working efficiency of the molten salt energy storage system, including: Draw a work efficiency change curve according to the corrected work efficiency of the molten salt energy storage system, and perform curve fitting on the work efficiency change curve; Predicting the work efficiency according to the curve fitting result to obtain the time required for the work efficiency to reach a fourth preset threshold; Whether to issue an energy storage shortage warning is determined based on the time required for the work efficiency to reach a fourth preset threshold.

9. The renewable energy integrated management system based on molten salt energy storage according to claim 8, characterized in that: The determining whether to issue an energy storage shortage warning according to the time required for the work efficiency to reach the fourth preset threshold value includes: If the time required for the working efficiency to reach the fourth preset threshold is greater than or equal to the fifth preset threshold, an energy storage shortage warning is issued.

10. A renewable energy integrated management method based on molten salt energy storage, characterized in that: include: Obtain environmental parameters of photovoltaic power stations and wind farms, and determine the amount of abandoned solar and wind power in photovoltaic power stations and wind farms based on the environmental parameters of photovoltaic power stations and wind farms; The molten salt energy storage system is heated according to the amount of abandoned solar and wind power, and the working efficiency of the molten salt energy storage system is determined according to the heating temperature of the molten salt energy storage system; Provide energy storage warning for the molten salt energy storage system based on its working efficiency.

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