Intelligent regulation and management system for electricity storage quantity of wind driven generator and management method of intelligent regulation and management system

Abstract

The invention relates to the technical field of wind driven generators, and discloses a wind driven generator electricity storage capacity intelligent adjustment management system and a management method thereof.The wind driven generator electricity storage capacity intelligent adjustment management system comprises an electricity quantity monitoring module used for continuously monitoring the electricity quantity change of an electricity storage system of a wind driven generator, setting a minimum electricity quantity threshold value, and if the actual electricity storage capacity does not exceed the minimum electricity quantity threshold value, starting a control module; and if yes, the power storage system does not execute any discharge operation except for supplying daily specified power supply quantity to the wind driven generator and coping with sudden power demand surge. By setting the minimum electric quantity threshold value, the system is ensured to preferentially guarantee the daily specified power supply quantity and the ability to deal with sudden electric power demands under any condition, the power supply risk caused by insufficient electricity storage quantity is reduced, the system can effectively plan electric power supply by judging whether the electricity storage quantity in future observation days is sufficient, and the system can effectively plan power supply in the peak period of the electric power demands. The system can provide additional power supply using the estimated surplus power storage amount.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbines, and in particular to an intelligent regulation and management system for power storage of wind turbines and a management method thereof. Background Art

[0002] A wind turbine is a device that converts wind energy into electrical energy. The kinetic energy of the wind drives the rotating blades, which in turn drive the generator to generate electricity. Its main components include blades, shafts, generators, control systems, and towers. The blades capture wind energy and convert it into mechanical energy, and the shafts transfer the mechanical energy to the generator.

[0003] Since wind power generation is inherently volatile, that is, power generation will be affected by changes in wind speed, energy storage measures need to be taken to ensure the balance between power supply and demand, so that wind power stations can still supply power through storage in the absence of wind. By regulating and managing the storage capacity of wind turbines, the economic benefits of power generation can be further improved. For example, under the time-of-use electricity price mechanism, the system can store electricity when electricity prices are low and discharge it at peak times. The key to managing the storage capacity of wind turbines is how to balance economic benefits and respond to sudden surges in electricity demand, so that the storage capacity of wind turbines can be maintained at a reasonable reserve capacity, enabling the storage system to discharge at peak times while taking into account the ability to respond to sudden electricity demands.

[0004] To this end, the present invention provides a wind turbine power storage intelligent regulation management system and a management method thereof. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a wind turbine power storage intelligent regulation and management system and a management method thereof, so as to be able to perform intelligent regulation and management on the wind turbine power storage, ensure that the wind turbine can reasonably store and discharge the power storage according to the actual power consumption situation, and maintain a balance between the economic benefits generated during discharge and the response to sudden surges in power demand.

[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: an intelligent regulation and management system for power storage of a wind turbine generator, comprising:

[0007] The power monitoring module is used to continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operation except for supplying the wind turbine with the daily power supply and responding to sudden power demand surges;

[0008] The stock estimation module is used to estimate the storage growth value of the wind turbine in the future observation days by combining the weather forecast monitoring technology with the wind power generation prediction model, and add the estimated storage growth value to the current actual power stock to obtain the estimated storage stock of the wind turbine;

[0009] The power consumption estimation module is used to determine whether the power storage capacity in the future observation days is sufficient according to the daily power supply of the wind turbine. If it is sufficient, the estimated surplus power storage capacity is obtained by subtracting the total power supply required, and the estimated surplus power storage capacity is compared with the minimum power threshold, and corresponding operations are performed according to the comparison results;

[0010] The peak discharge module is used when the system provides additional power supply during peak hours. The additional power is obtained by subtracting the minimum power threshold from the estimated surplus storage power. The system will use the additional power to supply power to the power market during peak hours.

[0011] In some embodiments, the specific method of judging whether the power storage capacity in the future observation days is sufficient according to the daily prescribed power supply of the wind turbine is as follows: the total power supply required until the future observation days is calculated according to the daily prescribed power supply of the wind turbine, and the required total power supply is compared with the estimated stock; when the estimated stock is greater than or equal to the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is sufficient; when the estimated stock is less than the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is insufficient.

[0012] In some embodiments, specific operations are performed based on the comparison result of the estimated surplus storage capacity and the minimum power threshold: if the estimated surplus storage capacity exceeds the minimum power threshold, additional power supply is provided during peak hours; when the storage capacity of the wind turbine generator is insufficient within the future observation days, discharge operations except for the daily prescribed power supply and response to sudden power demand events are stopped, and the remaining storage capacity is used to execute the daily prescribed power supply.

[0013] In some embodiments, a safe depth of discharge threshold is set and used to replace the original minimum power threshold, so that the power consumption estimation module uses the estimated surplus storage capacity to compare with the safe depth of discharge threshold and decides whether to perform additional power supply during peak hours.

[0014] In some embodiments, a specific method for setting a safe depth of discharge threshold is: obtaining the power storage growth value of the wind turbine within the future observation days and the total power supply required by the wind turbine until the future observation days; when the power storage growth value is greater than the required total power supply, the required total power supply is divided by the power storage growth value to obtain the ratio of the power supply to the power storage; the ratio threshold is set to 0.5; the ratio of the power supply to the power storage is compared with the set ratio threshold; and corresponding operations are performed according to the comparison results.

[0015] In some embodiments, when the ratio of the power supply to the storage capacity is greater than or equal to the proportional threshold, the system does not operate; when the ratio of the power supply to the storage capacity is less than the proportional threshold, the system will multiply the storage capacity growth value by the proportional threshold to obtain a threshold reference value, and calculate the difference between the threshold reference value and the total power required to be supplied, and then add the difference to the power set by the minimum power threshold to obtain a safe discharge depth threshold.

[0016] In some embodiments, when the power storage capacity growth value in the future observation days is less than the required total power supply, the difference between the required total power supply and the power storage capacity growth value will be used to reduce the safe discharge depth threshold accordingly until it is reduced to the same as the minimum power threshold. The system will then use the minimum power threshold to replace the safe discharge depth threshold.

[0017] In some embodiments, when the safe discharge depth threshold drops to the same level as the minimum power threshold, the system will set an emergency power reserve. The emergency power reserve is obtained by first subtracting the power reserve specified by the minimum power threshold from the current actual power reserve to obtain the remaining power reserve, and then comparing the remaining power reserve with the total power required to be supplied by the wind turbine until the next observation days: when the remaining power reserve is greater than or equal to the total power required to be supplied, the system will select the same amount of power from the remaining power reserve as the total power required to be supplied and add it to the minimum power threshold, so that the minimum power threshold is temporarily increased; when the remaining power reserve is less than the total power required to be supplied, the system will directly add the remaining power reserve to the minimum power threshold, so that the minimum power threshold is temporarily increased.

[0018] The present invention also provides the following technical solution: a method for intelligently regulating and managing the amount of stored electricity of a wind turbine generator, comprising the following steps:

[0019] Continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operations except for supplying the wind turbine's daily power supply and responding to sudden surges in power demand;

[0020] The wind power generation prediction model is used to estimate the growth value of wind turbine power storage in the future observation days through weather forecast monitoring technology combined with wind power generation prediction model. The estimated growth value of wind power storage is added to the current actual power storage to obtain the estimated storage capacity of wind turbines.

[0021] According to the daily power supply of wind turbines, determine whether the storage capacity in the future observation days is sufficient. If it is sufficient, subtract the total power required to be supplied from the estimated storage capacity to obtain the estimated surplus storage capacity, and compare the estimated surplus storage capacity with the minimum power threshold, and make corresponding operations according to the comparison results;

[0022] When the system provides additional power during peak hours, the additional power is obtained by subtracting the minimum power threshold from the estimated surplus storage capacity. The system will use the additional power to supply electricity to the power market during peak hours.

[0023] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0024] Firstly, by setting a minimum power threshold, the present invention ensures that the system prioritizes the daily power supply and the ability to cope with sudden power demand under any circumstances, reduces the power supply risk caused by insufficient power storage, and effectively plans power supply by judging whether the power storage is sufficient within the next observation days. During the peak period of power demand, the system can use the estimated surplus power storage to provide additional power supply, thereby obtaining a higher market electricity price and maximizing economic benefits.

[0025] Secondly, the present invention can effectively avoid deep discharge of lithium batteries by setting a safe discharge depth threshold, thereby extending the cycle life of lithium batteries, reducing the battery loss rate and maintenance cost, and dynamically adjusting the safe discharge depth threshold according to actual power supply demand and changes in wind power generation, so that the system can flexibly respond to fluctuations in power demand, and by adjusting the safe discharge depth threshold when the power storage capacity is insufficient, the wind turbine is allowed to output power when the economic benefits are higher than the loss caused by deep discharge.

[0026] Thirdly, the present invention can temporarily increase the minimum power threshold through the design of surplus power storage, and the system can effectively prevent the power storage from falling below this threshold, thereby reducing battery loss caused by deep discharge and ensuring that the wind turbine can provide stable power supply under various conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic diagram of a module of an intelligent regulation and management system for power storage of a wind turbine according to the present invention;

[0028] Figure 2 The present invention is a flow chart of a method for intelligently regulating and managing the power storage amount of a wind turbine. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0031] The present invention provides an intelligent regulation and management system for wind turbine power storage capacity. Figure 1 As shown, including:

[0032] The power monitoring module is used to continuously monitor the power changes of the wind turbine power storage system. In order to ensure that the power storage of the wind turbine can give priority to responding to the surge in power demand caused by the sudden power shortage, a minimum power threshold is set. When the power storage of the wind turbine is detected, if the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operation except for supplying the daily power supply of the wind turbine and responding to the sudden surge in power demand, so as to give priority to ensuring that the power storage reaches the stock of normal power supply;

[0033] The stock estimation module is used to obtain the environmental wind speed and direction data of the wind turbine in the future observation days through weather forecast monitoring technology, and estimate the storage growth value of the wind turbine in the future observation days in combination with the wind power generation prediction model. The estimated storage growth value is added to the current actual power stock to obtain the estimated storage stock of the wind turbine after the time reaches the future observation days. For example, the future observation days are set to 3 days. After obtaining the data on the changes in environmental wind speed and direction within 3 days, the storage growth value of these 3 days can be estimated in combination with the wind power generation prediction model, so that the estimated stock after 3 days can be obtained in combination with the current actual power stock;

[0034] The power consumption estimation module is used to judge whether the power storage capacity in the future observation days is sufficient according to the daily power supply of the wind turbine. The specific method of judgment is to calculate the total power supply required until the future observation days according to the daily power supply of the wind turbine. When the future observation days are set to 3 days, the total power supply required is the sum of the daily power supply of 3 days. The required total power supply is compared with the estimated stock. When the estimated stock is greater than or equal to the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is sufficient; when the estimated stock is less than the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is insufficient.

[0035] When the storage capacity of the wind turbine generator is sufficient within the future observation days, the estimated storage capacity is deducted from the total required power supply to obtain the estimated surplus storage capacity, and the estimated surplus storage capacity is compared with the minimum power threshold. If the estimated surplus storage capacity exceeds the minimum power threshold, it means that the remaining storage capacity of the wind turbine generator is still capable of coping with sudden power demand after the future observation days. In this case, additional power supply will be provided during peak hours to obtain higher pricing during the peak power demand period. When the storage capacity of the wind turbine generator is insufficient within the future observation days, discharge operations other than the daily prescribed power supply and response to sudden power demand events will be stopped, and the remaining storage capacity will be used to implement the daily prescribed power supply.

[0036] Peak discharge module, which is used when the system provides additional power during peak hours. The system estimates the surplus storage capacity minus the minimum power threshold to obtain the additional power. The system will use the additional power to supply power to the power market during peak hours to increase the power pricing revenue. When the additional power is used, the power stored in the storage capacity can always be kept above the minimum power threshold, which will not cause a shortage of the wind turbine's daily power supply or lose the ability to cope with sudden power demand;

[0037] On the other hand, when the power gap increases, when the wind turbine power storage system discharges according to demand, the actual power storage capacity of the wind turbine will be lower than the minimum power threshold due to the sudden power gap, which makes the lithium battery of the power storage system in a state of deep discharge, which is likely to cause the lithium battery's own available capacity to decrease rapidly, and accelerate the aging process of the wind turbine power storage system, reducing its charge and discharge cycle life. Therefore, it is necessary to set a dynamically adjustable safe discharge depth threshold. According to the power supply plan, the demand for power transmission by wind turbines will also change, that is to say, the daily prescribed power supply of wind turbines varies. Due to changes in wind speed and direction caused by weather conditions, the amount of electricity that wind turbines can generate each day also varies. The specific method for setting the safe discharge depth threshold is: obtain the growth value of the wind turbine's power storage capacity within the future observation days and the total power required to be supplied by the wind turbine until the future observation days. When the growth value of the power storage capacity is greater than the required total power supply, use the required total power supply divided by the growth value of the power storage capacity to obtain the ratio of the power supply to the power storage capacity. Compare the ratio of the power supply to the power storage capacity with the set ratio threshold, and take corresponding actions based on the comparison results. When the ratio of power supply to storage capacity is greater than or equal to the proportional threshold, it indicates that most of the electricity generated by the wind turbine in the future observation days is used to meet the daily power supply demand, and only a small amount of storage capacity is generated, and the system does not operate; when the ratio of power supply to storage capacity is less than the proportional threshold, it indicates that only a small part of the electricity generated by the wind turbine in the future observation days is used to meet the daily power supply demand, and most of it is converted into storage capacity. The system will multiply the storage capacity growth value by the proportional threshold to obtain the threshold reference value, and calculate the difference between the threshold reference value and the total amount of electricity required to be supplied, and then add the difference to the amount set by the minimum power threshold to obtain the safe discharge depth threshold, and use the safe discharge depth threshold to replace the original minimum power threshold, so that the estimated surplus storage capacity is compared with the safe discharge depth threshold in the power consumption estimation module, and decide whether to perform additional power supply during peak hours. Specifically, the ratio threshold is set to 0.5. When the total power supply required is divided by the storage capacity growth value, the power supply to storage capacity ratio is less than 0.5, which means that the total power supply required is less than half of the storage capacity growth value, and most of the power generated by the wind turbine will be stored. It should be noted that the safe discharge depth threshold is at most half of the total storage capacity of the power storage system. When the wind turbine generates sufficient power for a long time, it can reduce the possibility of lithium batteries being in a deep discharge state due to surge power consumption and reduce the service life loss of the power storage system.

[0038] Accordingly, when the power storage growth value in the future observation days is less than the total power required to be supplied, it indicates that the power of the wind turbine is already insufficient to cover its expenditure. The difference between the total power required to be supplied and the power storage growth value will be used to reduce the safe discharge depth threshold accordingly until it is reduced to the same as the minimum power threshold. The system will then replace the safe discharge depth threshold with the minimum power threshold for use. This design means that in the case of insufficient power storage, in order to ensure the economic benefits of wind turbine power generation, the problem of deep discharge of the power storage system will not be considered. This is because in the power spot market, the benefits brought by peak electricity prices are greater than the battery cost loss caused by deep discharge, and the life loss caused by deep discharge can also be reduced by appropriately increasing the minimum power threshold. However, the system will always abide by the rule of not providing additional power during peak hours when the power storage is lower than the minimum power threshold, ensuring that the wind turbine can still complete the daily power supply and handle sudden power needs, thereby taking into account the stable operation of the wind turbine and ensuring its economic benefits.

[0039] As another preferred embodiment of the present invention, in the actual regulation and management of the power storage capacity of wind turbines, the change of wind speed in the external environment will cause the power generation of wind turbines to surge within a period of time, and the power storage capacity will always be maintained above the minimum power threshold. In the subsequent period of time, the power generation of wind turbines may also drop sharply, resulting in the subsequent wind turbines supplying electricity to execute the daily specified power supply, causing the power storage capacity to drop below the minimum power threshold, thereby causing deep discharge and loss of ability to cope with sudden power surge events. For this reason, when the safety discharge depth threshold drops to the same value as the minimum power threshold, the system will set the emergency power storage capacity. The emergency power storage capacity is specifically obtained by first subtracting the power storage capacity specified by the minimum power threshold from the current actual power storage to obtain the remaining power storage capacity. At this time, the current actual power storage capacity is the total power storage capacity of all the electricity in the power storage system. The system not only includes the amount of electricity that is not released during peak hours, but also the amount of electricity that is not released during peak hours. The remaining storage amount is compared with the total amount of electricity that the wind turbine needs to supply until the next observation days. When the remaining storage amount is greater than or equal to the total amount of electricity required to be supplied, the system will select an amount of electricity from the remaining storage amount that is equal to the total amount of electricity required to be supplied and add it to the minimum electricity threshold, so that the minimum electricity threshold is temporarily increased, ensuring that the storage amount will not be lower than the original minimum electricity threshold due to the execution of the daily power supply in the next observation days. If there is still surplus electricity in the remaining storage amount, it will be normally executed to provide additional power supply during peak hours. When the remaining storage amount is less than the total amount of electricity required to be supplied, the system will directly add the remaining storage amount to the minimum electricity threshold, and temporarily increase the minimum electricity threshold, so as to minimize the extent to which the storage amount falls below the minimum electricity threshold.

[0040] In general, the present invention aims to design an intelligent regulation and management system for the power storage of wind turbines. In order to solve the problem of how to maintain the power storage of wind turbines at a reasonable reserve stock, the present invention sets a minimum power threshold so that the system can prioritize the daily power supply and the ability to cope with sudden power demand under any circumstances, reduce the power supply risk caused by insufficient power storage, and effectively plan the power supply by judging whether the power storage is sufficient in the future observation days. During the peak period of power demand, the system can use the estimated surplus power storage to provide additional power supply, thereby obtaining a higher market electricity price and maximizing economic benefits. By setting a safe discharge depth threshold, deep discharge of lithium batteries can be effectively avoided, thereby extending the cycle life of lithium batteries, reducing the loss rate and maintenance cost of batteries, and dynamically adjusting the safe discharge depth threshold will enable the system to flexibly respond to fluctuations in power demand according to changes in actual power supply demand and wind power generation. By adjusting the safe discharge depth threshold when the power storage is insufficient, the wind turbine is allowed to output power when the economic benefits are higher than the losses caused by deep discharge. And through the design of surplus power storage, the minimum power threshold can be temporarily increased, and the system can effectively prevent the power storage from falling below this threshold, thereby reducing battery loss caused by deep discharge, and ensuring that the wind turbine can provide stable power under various conditions. The design of the present invention ensures that when the wind power generation fluctuates, the wind turbine can stably meet the daily power supply and sudden demand, and also balances the relationship between power supply security and economic benefits.

[0041] The present invention provides a method for intelligently regulating and managing the amount of electricity stored in a wind turbine. Figure 2 As shown, the following steps are included:

[0042] Continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operations except for supplying the wind turbine's daily power supply and responding to sudden surges in power demand;

[0043] The wind power generation prediction model is used to estimate the growth value of wind turbine power storage in the future observation days through weather forecast monitoring technology combined with wind power generation prediction model. The estimated growth value of wind power storage is added to the current actual power storage to obtain the estimated storage capacity of wind turbines.

[0044] According to the daily power supply of wind turbines, determine whether the storage capacity in the future observation days is sufficient. If it is sufficient, subtract the total power required to be supplied from the estimated storage capacity to obtain the estimated surplus storage capacity, and compare the estimated surplus storage capacity with the minimum power threshold, and make corresponding operations according to the comparison results;

[0045] When the system provides additional power supply during peak hours, the additional power supply is obtained by subtracting the minimum power threshold from the estimated surplus storage capacity. The system will use the additional power supply to supply electricity to the power market during peak hours.

[0046] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit, the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination of the above.

[0047] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0048] Those skilled in the art should understand that the above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. An intelligent regulation and management system for the power storage capacity of a wind turbine generator, characterized in that: include: The power monitoring module is used to continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operation except for supplying the wind turbine with the daily power supply and responding to sudden power demand surges; The stock estimation module is used to estimate the storage growth value of the wind turbine in the future observation days by combining the weather forecast monitoring technology with the wind power generation prediction model, and add the estimated storage growth value to the current actual power stock to obtain the estimated storage stock of the wind turbine; The power consumption estimation module is used to determine whether the power storage capacity in the future observation days is sufficient according to the daily power supply of the wind turbine. If it is sufficient, the estimated surplus power storage capacity is obtained by subtracting the total power supply required, and the estimated surplus power storage capacity is compared with the minimum power threshold, and corresponding operations are performed according to the comparison results; The peak discharge module is used when the system provides additional power during peak hours. The additional power is obtained by subtracting the minimum power threshold from the estimated surplus storage power. The system will use the additional power to supply power to the power market during peak hours.

2. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 1, characterized in that: The specific method of judging whether the power storage capacity in the future observation days is sufficient according to the daily prescribed power supply of the wind turbine is as follows: the total power supply required until the future observation days is calculated according to the daily prescribed power supply of the wind turbine, and the required total power supply is compared with the estimated stock; when the estimated stock is greater than or equal to the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is sufficient; when the estimated stock is less than the required total power supply, it is judged that the power storage capacity of the wind turbine in the future observation days is insufficient.

3. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 2 is characterized in that: The specific operations performed based on the comparison results of the estimated surplus storage capacity and the minimum power threshold are: if the estimated surplus storage capacity exceeds the minimum power threshold, additional power supply will be provided during peak hours; when the storage capacity of the wind turbine generator is insufficient within the future observation days, the discharge operations except for the daily prescribed power supply and response to sudden power demand events will be stopped, and the remaining storage capacity will be used to implement the daily prescribed power supply.

4. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 3 is characterized in that: A safe discharge depth threshold is set, and the safe discharge depth threshold is used to replace the original minimum power threshold, so that the power consumption estimation module uses the estimated surplus storage capacity to compare with the safe discharge depth threshold, and decides whether to perform additional power supply during peak hours.

5. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 4 is characterized in that: The specific method of setting the safe discharge depth threshold is: obtain the storage capacity growth value of the wind turbine in the future observation days and the total power supply required by the wind turbine until the future observation days. When the storage capacity growth value is greater than the required total power supply, divide the required total power supply by the storage capacity growth value to obtain the ratio of power supply to storage capacity. Set the ratio threshold to 0.5, compare the ratio of power supply to storage capacity with the set ratio threshold, and take corresponding actions based on the comparison results.

6. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 5, characterized in that: When the ratio of power supply to storage capacity is greater than or equal to the proportional threshold, the system does not operate; when the ratio of power supply to storage capacity is less than the proportional threshold, the system will multiply the storage capacity growth value by the proportional threshold to obtain the threshold reference value, and calculate the difference between the threshold reference value and the total power required to be supplied, and then add the difference to the power set by the minimum power threshold to obtain the safe discharge depth threshold.

7. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 6, characterized in that: When the power storage growth value in the future observation days is less than the required total power supply, the difference between the required total power supply and the power storage growth value will be used to reduce the safe discharge depth threshold accordingly until it is reduced to the same as the minimum power threshold. The system will then use the minimum power threshold to replace the safe discharge depth threshold.

8. The intelligent regulation and management system for power storage capacity of a wind turbine according to claim 7, characterized in that: When the safe discharge depth threshold drops to the same level as the minimum power threshold, the system will set an emergency power reserve. The emergency power reserve is obtained by first subtracting the power reserve specified by the minimum power threshold from the current actual power reserve to obtain the remaining power reserve, and then comparing the remaining power reserve with the total power supply required by the wind turbine until the next observation days: when the remaining power reserve is greater than or equal to the total power supply required, the system will select the same amount of power from the remaining power reserve as the total power supply required and add it to the minimum power threshold, so that the minimum power threshold is temporarily increased; when the remaining power reserve is less than the total power supply required, the system will directly add the remaining power reserve to the minimum power threshold, so that the minimum power threshold is temporarily increased.

9. A method for intelligent regulation and management of power storage capacity of a wind turbine, characterized in that: The intelligent regulation and management system for power storage of a wind turbine according to any one of claims 1 to 8 comprises the following steps: Continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operations except for supplying the wind turbine's daily power supply and responding to sudden surges in power demand; The wind power generation prediction model is used to estimate the growth value of wind turbine power storage in the future observation days through weather forecast monitoring technology combined with wind power generation prediction model. The estimated growth value of wind power storage is added to the current actual power storage to obtain the estimated storage capacity of wind turbines. According to the daily power supply of wind turbines, determine whether the storage capacity in the future observation days is sufficient. If it is sufficient, subtract the total power required to be supplied from the estimated storage capacity to obtain the estimated surplus storage capacity, and compare the estimated surplus storage capacity with the minimum power threshold, and make corresponding operations according to the comparison results; When the system provides additional power during peak hours, the additional power is obtained by subtracting the minimum power threshold from the estimated surplus storage capacity. The system will use the additional power to supply electricity to the power market during peak hours.

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