Method and device for determining frequency conversion fan demand proportion, equipment and storage medium

Abstract

The application discloses a kind of determination method, device and equipment of frequency conversion fan demand proportion and storage medium, the method includes: based on percolation theory, replace wind turbine without frequency conversion capability in power system with frequency conversion wind turbine with frequency conversion capability one by one, and after each replacement, the difference of the frequency deviation of power system before replacement and after replacement is calculated;When the difference of the frequency deviation of power system exceeds the preset threshold value, the proportion of the replaced frequency conversion wind turbine in the power system is used as the frequency conversion wind turbine demand proportion of power system. By implementing the present application, the demand proportion of frequency conversion wind turbine in power system can be determined when the frequency conversion capability of power system is significantly improved.

Description

Technical Field

[0001] This invention relates to the field of power grid technology, and in particular to a method, apparatus, equipment and storage medium for determining the demand of frequency regulation wind turbines. Background Technology

[0002] To reduce resource waste and carbon emissions, the power system is gradually shifting its output from traditional thermal power to clean energy sources such as wind power and solar power. Wind power, as a typical new energy source, is characterized by randomness and intermittency. It is often connected to the grid via power electronic converters to decouple the generator speed from the grid frequency. However, its active power cannot respond to frequency changes, weakening the grid's frequency regulation capability. Several major blackouts worldwide in recent years have demonstrated the safety and stability problems caused by reduced frequency regulation capability as the proportion of new energy sources in the grid increases. To enhance the frequency regulation capability of the power system, wind turbines without frequency regulation capability can be replaced with frequency-regulating turbines. However, if the number of turbines replaced is small, it will not cause a sudden change in the power system's frequency regulation capability. Therefore, determining the required proportion of frequency-regulating wind turbines in the power system to significantly improve its frequency regulation capability is a pressing technical problem that needs to be solved. Summary of the Invention

[0003] This invention provides a method, apparatus, device, and storage medium for determining the demand ratio of frequency-regulating wind turbines, which can determine the demand ratio of frequency-regulating wind turbines in a power system when the frequency regulation capability of the power system is significantly improved.

[0004] An embodiment of the present invention provides a method for determining the demand ratio of frequency-regulating wind turbines, including: replacing wind turbines without frequency regulation capability in the power system one by one with frequency-regulating wind turbines with frequency regulation capability based on percolation theory, and calculating the difference in frequency deviation between the power system before and after each replacement after each replacement. When the frequency deviation of the power system exceeds a preset threshold, the proportion of the replaced frequency-regulating wind turbines in the power system will be used as the proportion of the power system's frequency-regulating wind turbine demand.

[0005] Furthermore, the difference in frequency deviation between the power system before and after the replacement is calculated, specifically including: Calculate the frequency deviation of the power system before replacement to obtain the first frequency deviation; Calculate the frequency deviation of the power system after replacement to obtain the second frequency deviation; Calculate the difference between the first frequency deviation and the second frequency deviation to obtain the difference in frequency deviation of the power system before and after the replacement.

[0006] Furthermore, the calculation of the first frequency deviation and the second frequency deviation includes: Obtain the reference frequency of the power system, the first actual frequency of the power system when the wind turbines before replacement participate in frequency regulation, and the second actual frequency of the power system when the wind turbines after replacement participate in frequency regulation; Calculate the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; The difference between the second actual frequency and the reference frequency is calculated to obtain the second frequency deviation.

[0007] Furthermore, after determining the proportion of frequency regulation fan demand in the power system, it also includes: Calculate the third frequency deviation of the power system under the aforementioned frequency regulation fan demand ratio; The frequency regulation capability of the power system is calculated based on the third frequency deviation, taking into account the proportion of demand for the frequency regulation fan.

[0008] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments; One embodiment of the present invention provides a device for determining the demand ratio of frequency-modulated fans, including a frequency deviation difference calculation module and a demand ratio calculation module; The frequency deviation difference calculation module is used to replace the wind turbines without frequency regulation capability in the power system one by one with frequency regulation capability based on the percolation theory, and to calculate the difference in frequency deviation between the power system before and after each replacement. The demand ratio calculation module is used to take the proportion of replaced frequency-regulating wind turbines in the power system as the demand ratio of frequency-regulating wind turbines in the power system when the difference in frequency deviation of the power system exceeds a preset threshold.

[0009] Furthermore, the frequency deviation difference calculation module calculates the difference in frequency deviation between the power system before and after the replacement, specifically including: Calculate the frequency deviation of the power system before replacement to obtain the first frequency deviation; Calculate the frequency deviation of the power system after replacement to obtain the second frequency deviation; Calculate the difference between the first frequency deviation and the second frequency deviation to obtain the difference in frequency deviation of the power system before and after the replacement.

[0010] Furthermore, the frequency deviation difference calculation module calculates the first frequency deviation and the second frequency deviation, including: Obtain the reference frequency of the power system, the first actual frequency of the power system when the wind turbines before replacement participate in frequency regulation, and the second actual frequency of the power system when the wind turbines after replacement participate in frequency regulation; Calculate the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; The difference between the second actual frequency and the reference frequency is calculated to obtain the second frequency deviation.

[0011] Furthermore, it also includes a frequency regulation capability calculation module; the frequency regulation capability calculation module is used to calculate the third frequency deviation of the power system under the frequency regulation fan demand ratio after determining the frequency regulation fan demand ratio of the power system; and calculate the frequency regulation capability of the power system under the frequency regulation fan demand ratio based on the third frequency deviation.

[0012] Based on the above method embodiments, the present invention provides corresponding device embodiments; One embodiment of the present invention provides a device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method for determining the demand ratio of frequency-modulated fans according to any one of the present invention.

[0013] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments; One embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the method for determining the demand ratio of frequency-modulated fans as described in any one of the present invention.

[0014] The following beneficial effects can be achieved by implementing the embodiments of the present invention: This invention provides a method, apparatus, device, and storage medium for determining the demand proportion of frequency-regulating wind turbines. The method, based on percolation theory, treats the power system as a complex network. Using percolation theory as a foundation, it considers the replacement of ordinary wind turbines without frequency regulation capabilities with frequency-regulating wind turbines as node occupancy, i.e., percolation in percolation theory. It systematically replaces each wind turbine without frequency regulation capability in the power system with a frequency-regulating wind turbine, calculating the difference in frequency deviation between the power system before and after each replacement. When the difference in frequency deviation exceeds a preset threshold, a large component appears in the complex network, indicating a sudden change in the power system's frequency regulation capability, and the power system possesses considerable frequency regulation capability. At this point, the proportion of the replaced frequency-regulating wind turbines in the power system is taken as the demand proportion of frequency-regulating wind turbines in that power system. This invention analyzes the demand for frequency-regulating wind turbines for the safe and stable operation of the power system from a physics perspective, achieving economic efficiency while ensuring grid frequency stability. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating a method for determining the demand ratio of frequency-modulated fans according to an embodiment of the present invention.

[0016] Figure 2This is a schematic diagram of a device for determining the demand ratio of frequency-modulated fans according to an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] First, the percolation theory is explained. As a classic statistical physics model, the percolation model focuses on the emergence of special physical properties in systems with random geometric structures. Proposed in 1957, percolation theory addresses the motion of random media. Its central problem is studying the threshold of graph connectivity. Specifically, it examines the impact of nodes or edges occupying with probability p in an n-dimensional regular network, and the impact of probability absence on the power grid structure. This invention applies percolation theory to power system research, treating the massive power system as a complex network, and analyzes the potential qualitative changes in the power grid caused by the increasing proportion of new energy sources. The specific scheme is as follows: like Figure 1 As shown, an embodiment of the present invention provides a method for determining the demand ratio of frequency-regulating fans, which includes at least the following steps: S101: Based on percolation theory, replace the wind turbines in the power system that have no frequency regulation capability one by one with frequency regulation wind turbines that have frequency regulation capability, and calculate the difference in frequency deviation of the power system before and after each replacement.

[0019] S102: When the frequency deviation of the power system exceeds a preset threshold, the proportion of the replaced frequency-regulating wind turbines in the power system is taken as the proportion of the demand for frequency-regulating wind turbines in the power system.

[0020] Specifically, for step S101, this invention applies percolation theory to the study of power systems. The massive power system is viewed as a complex network. Based on percolation theory, wind turbines that originally lacked frequency regulation capability are transformed into frequency regulation capabilities within the complex network, considered as nodes. One by one, wind turbines without frequency regulation capability in the power system are replaced with frequency-regulating wind turbines. At each replacement, the frequency deviation of the power system before replacement is calculated to obtain the first frequency deviation; the frequency deviation of the power system after replacement is calculated to obtain the second frequency deviation; and the difference between the first and second frequency deviations is calculated to obtain the difference in frequency deviation between the power system before and after replacement.

[0021] In a preferred embodiment, the calculation of the first frequency deviation and the second frequency deviation includes: obtaining the reference frequency of the power system, the first actual frequency of the power system when the wind turbine participated in frequency regulation before replacement, and the second actual frequency of the power system when the wind turbine participated in frequency regulation after replacement; calculating the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; and calculating the difference between the second actual frequency and the reference frequency to obtain the second frequency deviation. An illustrative formula for calculating a frequency deviation is as follows: (1); For frequency deviation, This refers to the actual frequency of the power system when wind turbines participate in frequency regulation. The reference frequency for the power system is 50Hz. The calculation of the first frequency deviation and the second frequency deviation can both be performed based on the above formula (1).

[0022] For step S102, in this invention, wind turbine replacement is performed based on a power system network that originally lacked large components (i.e., had poor frequency regulation capability). Replacing a small number of wind turbines will not cause large components to appear, and the power system is considered to still lack considerable frequency regulation capability. When large components appear, indicating a qualitative change in frequency regulation capability, it is considered that the power grid's frequency regulation capability has abruptly changed. Specifically, in this invention, when the difference in frequency deviation of the power system exceeds a preset threshold, it is determined that a large component has appeared in the power system. At this time, the frequency regulation capability of the power system has abruptly changed, and the proportion of the replaced frequency-regulating wind turbines in the power system is taken as the proportion of frequency-regulating wind turbine demand in the power system. For example, illustratively, when the first wind turbine replacement is performed, the difference in frequency deviation of the power system is 1; when the second replacement is performed, the difference is 2; when the third replacement is performed, the difference is 1; and when the fourth replacement is performed, the difference is 9. Assuming the preset threshold is 5, after the third replacement, the difference in frequency deviation of the power system shows a significant abrupt change. At this point, it is determined that a large component has appeared in the power system. Finally, the proportion of all frequency-regulating wind turbines in the power system after the third replacement is taken as the proportion of frequency-regulating wind turbine demand in the power system at this time.

[0023] In a preferred embodiment, after determining the proportion of frequency-regulating wind turbine demand in the power system, the method further includes: calculating a third frequency deviation of the power system under the proportion of frequency-regulating wind turbine demand; and calculating the frequency regulation capability of the power system under the proportion of frequency-regulating wind turbine demand based on the third frequency deviation.

[0024] This illustration demonstrates the droop control frequency regulation technology for direct-drive wind turbines, using the following formula to calculate the frequency regulation capability of the power system: (2); This represents the active power of the power system before frequency regulation; This represents the active power of the power system after frequency regulation. For the frequency regulation capability of the power system, The droop coefficient is... The frequency deviation is calculated according to formula (1) under the determined proportion of frequency-regulating wind turbine demand. Then, the third frequency deviation of the power system and the preset droop coefficient are substituted into formula (2) to obtain the frequency regulation capability of the power system under the determined proportion of frequency-regulating wind turbine demand.

[0025] By implementing the above embodiments, the percolation theory of complex networks is applied to the power system, the influence of frequency-regulating fans is introduced, and the demand of the power grid for frequency-regulating fans is analyzed from a physics perspective, thereby achieving the requirements of economic efficiency while ensuring the stability of the power grid frequency.

[0026] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments; like Figure 2 As shown, an embodiment of the present invention provides a device for determining the demand ratio of frequency-modulated fans, including a frequency deviation difference calculation module and a demand ratio calculation module. The frequency deviation difference calculation module is used to replace the wind turbines without frequency regulation capability in the power system one by one with frequency regulation capability based on the percolation theory, and to calculate the difference in frequency deviation between the power system before and after each replacement. The demand ratio calculation module is used to take the proportion of replaced frequency-regulating wind turbines in the power system as the demand ratio of frequency-regulating wind turbines in the power system when the difference in frequency deviation of the power system exceeds a preset threshold.

[0027] Furthermore, the frequency deviation difference calculation module calculates the difference in frequency deviation between the power system before and after the replacement, specifically including: Calculate the frequency deviation of the power system before replacement to obtain the first frequency deviation; Calculate the frequency deviation of the power system after replacement to obtain the second frequency deviation; Calculate the difference between the first frequency deviation and the second frequency deviation to obtain the difference in frequency deviation of the power system before and after the replacement.

[0028] In a preferred embodiment, the frequency deviation difference calculation module calculates a first frequency deviation and a second frequency deviation, including: Obtain the reference frequency of the power system, the first actual frequency of the power system when the wind turbines before replacement participate in frequency regulation, and the second actual frequency of the power system when the wind turbines after replacement participate in frequency regulation; Calculate the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; The difference between the second actual frequency and the reference frequency is calculated to obtain the second frequency deviation.

[0029] In a preferred embodiment, the system further includes a frequency regulation capability calculation module; the frequency regulation capability calculation module is used to calculate the third frequency deviation of the power system under the frequency regulation fan demand ratio after determining the frequency regulation fan demand ratio of the power system; and to calculate the frequency regulation capability of the power system under the frequency regulation fan demand ratio based on the third frequency deviation.

[0030] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0031] Those skilled in the art will clearly understand that, for convenience and simplicity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0032] Based on the above method embodiments, the present invention provides corresponding device embodiments; One embodiment of the present invention provides a device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method for determining the demand ratio of frequency-modulated fans according to any one of the present invention.

[0033] The aforementioned device is a terminal device, which can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The terminal device may include, but is not limited to, a processor and memory.

[0034] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0035] The memory can be used to store the computer program. The processor implements various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0036] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments; One embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the method for determining the demand ratio of frequency-modulated fans as described in any one of the present invention.

[0037] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0038] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining the demand proportion of frequency-modulated fans, characterized in that, include: Based on percolation theory, wind turbines without frequency regulation capability in the power system are replaced one by one with frequency regulation wind turbines that have frequency regulation capability. After each replacement, the difference in frequency deviation of the power system before and after the replacement is calculated. When the frequency deviation of the power system exceeds a preset threshold, the proportion of the replaced frequency-regulating wind turbines in the power system will be used as the proportion of the demand for frequency-regulating wind turbines in the power system. The calculation of the difference in frequency deviation between the power system before and after the replacement specifically includes: Calculate the frequency deviation of the power system before replacement to obtain the first frequency deviation; Calculate the frequency deviation of the power system after replacement to obtain the second frequency deviation; Calculate the difference between the first frequency deviation and the second frequency deviation to obtain the difference in frequency deviation of the power system before and after the replacement; The calculation of the first frequency deviation and the second frequency deviation includes: Obtain the reference frequency of the power system, the first actual frequency of the power system when the wind turbines before replacement participate in frequency regulation, and the second actual frequency of the power system when the wind turbines after replacement participate in frequency regulation; Calculate the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; The difference between the second actual frequency and the reference frequency is calculated to obtain the second frequency deviation.

2. The method for determining the demand ratio of frequency-modulated fans as described in claim 1, characterized in that, After determining the proportion of frequency regulation fan demand in the power system, the following is also included: Calculate the third frequency deviation of the power system under the aforementioned frequency regulation fan demand ratio; The frequency regulation capability of the power system is calculated based on the third frequency deviation, taking into account the proportion of demand for the frequency regulation fan.

3. A device for determining the demand ratio of frequency-modulated fans, characterized in that, include: Frequency deviation difference calculation module and demand percentage calculation module; The frequency deviation difference calculation module is used to replace wind turbines without frequency regulation capability in the power system one by one with frequency regulation capability based on percolation theory, and to calculate the difference in frequency deviation between the power system before and after each replacement. Specifically, calculating the difference in frequency deviation between the power system before and after replacement includes: calculating the frequency deviation of the power system before replacement to obtain a first frequency deviation; calculating the frequency deviation of the power system after replacement to obtain a second frequency deviation; and calculating the difference between the first frequency deviation and the second frequency deviation to obtain the difference in frequency deviation between the power system before and after replacement. The calculation of the first and second frequency deviations includes: obtaining the reference frequency of the power system, the first actual frequency of the power system when the wind turbines participated in frequency regulation before replacement, and the second actual frequency of the power system when the wind turbines participated in frequency regulation after replacement; calculating the difference between the first actual frequency and the reference frequency to obtain the first frequency deviation; and calculating the difference between the second actual frequency and the reference frequency to obtain the second frequency deviation. The demand ratio calculation module is used to take the proportion of replaced frequency-regulating wind turbines in the power system as the demand ratio of frequency-regulating wind turbines in the power system when the difference in frequency deviation of the power system exceeds a preset threshold.

4. The device for determining the demand ratio of frequency-modulated fans as described in claim 3, characterized in that, It also includes a frequency modulation capability calculation module; Calculate the third frequency deviation of the power system under the aforementioned frequency regulation fan demand ratio; The frequency regulation capability of the power system is calculated based on the third frequency deviation, taking into account the proportion of demand for the frequency regulation fan.

5. A device, characterized in that, The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the method for determining the proportion of demand for frequency-modulated fans as described in any one of claims 1 to 2.

6. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the method for determining the proportion of frequency-modulated fan demand as described in any one of claims 1 to 2.

Images