Coupling relationship establishment method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention provides a coupling relation establishment method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a wind power output sequence signal of a wind power system, and determining a high-frequency component of the wind power output sequence signal; determining the maximum amplitude and the minimum amplitude of the high-frequency component, and determining the upper limit value and the lower limit value of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude; determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value; and establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

Description

Technical Field

[0001] The present application relates to the field of wind power, and in particular to a method for establishing a coupling relationship, a method, a storage medium and an electronic device. Background Art

[0002] Wind power has the characteristics of intermittent and random output. Therefore, the direct integration of wind power system output power into the power grid will have a great impact on the stability of the power system, grid frequency, power quality, power generation planning and scheduling, etc. It is of great practical significance to smooth the output power fluctuation of wind power system.

[0003] Traditional wind power adjusts the wind turbine output power by adjusting the pitch angle and changing the generator speed to achieve the purpose of smoothing the output power of a single wind turbine. However, the output power of each unit in a wind farm may be complementary or superimposed on each other, resulting in large fluctuations in the total output power of the wind farm, which reduces the effective utilization rate of wind energy to a certain extent.

[0004] With regard to the existing technology, there is no effective solution to the problem of how to maximize the use of wind energy resources and reduce the impact of wind power on the power grid.

[0005] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0006] The embodiments of the present application provide a method for establishing a coupling relationship, a method, a storage medium and an electronic device to at least solve the problem in the prior art of how to maximize the use of wind energy resources and reduce the impact of wind power on the power grid.

[0007] According to one embodiment of the present application, a method for establishing a coupling relationship is provided, including: acquiring a wind power output sequence signal of a wind power system, and determining a high-frequency component of the wind power output sequence signal; determining a maximum amplitude and a minimum amplitude of the high-frequency component, and determining an upper limit and a lower limit of a maximum input power of a hydrogen production system according to the maximum amplitude and the minimum amplitude; determining the maximum input power of the hydrogen production system according to the upper limit and the lower limit; and establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0008] In an exemplary embodiment, in the process of determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value, the method includes: determining the Nth input power in the target interval, wherein the target interval is the interval corresponding to the upper limit value and the lower limit value, and N is a positive integer; determining the total electricity revenue corresponding to the Nth input power, and determining whether the Nth input power is the maximum input power according to the total electricity revenue corresponding to the Nth input power.

[0009] In an exemplary embodiment, determining the total power revenue corresponding to the Nth input power includes: performing low-pass filtering on the wind power output sequence signal to determine a low-frequency load signal of the wind power output sequence signal; determining a high-frequency load signal of the wind power output sequence signal based on the low-frequency load signal; determining a response signal of the hydrogen production system based on the high-frequency load signal and the Nth input power, wherein the response signal is a power signal of the hydrogen production system; and determining the total power revenue corresponding to the Nth input power based on the response signal.

[0010] In an exemplary embodiment, the total electricity revenue corresponding to the Nth input power is determined according to the response signal, including: determining the grid-connected wind power according to the response signal and the wind power output sequence signal, and determining the output power according to the grid-connected wind power; determining the hydrogen production power of the hydrogen production system according to the response signal; and determining the total electricity revenue according to the unit electricity price, the output power, the hydrogen production power, the unit consumption of hydrogen production and the unit price of hydrogen.

[0011] In an exemplary embodiment, a response signal of the hydrogen production system is determined based on the high-frequency load signal and the Nth input power, including: when the high-frequency load signal is greater than the Nth input power, determining the power value of the response signal to be the power value of the Nth input power; when the high-frequency load signal is less than or equal to the Nth input power, determining the power value of the response signal to be the power value of the high-frequency load signal.

[0012] In an exemplary embodiment, determining the Nth input power of the target interval includes: updating the power value of the N-1th input power according to a particle swarm optimization algorithm to determine the Nth input power.

[0013] Determining whether the Nth input power is the maximum input power based on the total power revenue corresponding to the Nth input power includes: determining the total power revenue corresponding to the first input power to the last input power respectively; determining the total power revenue with the highest value among the total power revenue corresponding to the first input power to the last input power respectively; and determining the total power revenue with the highest value as the maximum input power.

[0014] According to another embodiment of the present application, a device for establishing a coupling relationship is provided, including: a first determination module, used to obtain a wind power output sequence signal of a wind power system, and determine the high-frequency component of the wind power output sequence signal; a second determination module, used to determine the maximum amplitude and the minimum amplitude of the high-frequency component, and determine the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude; a third determination module, used to determine the maximum input power of the hydrogen production system according to the upper limit and the lower limit; and an establishment module, used to establish a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0015] According to another embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when run.

[0016] According to another embodiment of the present application, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0017] According to another embodiment of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0018] Through this application, the wind power output sequence signal of the wind power system is obtained, and the high-frequency component of the wind power output sequence signal is determined; the maximum amplitude and the minimum amplitude of the high-frequency component are determined, and the upper limit and the lower limit of the maximum input power of the hydrogen production system are determined according to the maximum amplitude and the minimum amplitude; the maximum input power of the hydrogen production system is determined according to the upper limit and the lower limit; the coupling relationship between the hydrogen production system with the maximum input power and the wind power system is established. That is, the embodiment of the present application determines the optimal matching between the hydrogen production system and the wind power system by analyzing the characteristics of the wind power output, especially its high-frequency component, so that the hydrogen production system can respond to the changes in the wind power output more efficiently, reduce the phenomenon of wind abandonment, improve the utilization rate of wind power, and respond to the changes in the output power of the wind power system through the hydrogen production system, thereby reducing the impact of the wind power system on the power grid. Therefore, the problem of how to maximize the use of wind energy resources and reduce the impact of wind power on the power grid can be solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 It is a hardware structure block diagram of a computer terminal device of a method for establishing a coupling relationship in an embodiment of the present application;

[0022] Figure 2 is a flow chart of a method for establishing a coupling relationship according to an embodiment of the present application;

[0023] Figure 3 It is a structural block diagram of a device for establishing a coupling relationship according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal device or a similar computing device. Taking running on a computer terminal device as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal device of a method for establishing a coupling relationship according to an embodiment of the present application. Figure 1 As shown, the computer terminal device may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the above-mentioned computer terminal device may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for establishing a coupling relationship in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to a computer terminal device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0028] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0029] In this embodiment, a method for establishing a coupling relationship is provided. Figure 2 is a flow chart of a method for establishing a coupling relationship according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps:

[0030] Step S202, obtaining a wind power output sequence signal of the wind power system, and determining a high frequency component of the wind power output sequence signal;

[0031] It should be noted that the above step S202 is implemented by signal processing technology, such as using discrete Fourier transform (DFT) to convert the time series wind power output signal into the frequency domain, and then identify and separate the high-frequency component. The high-frequency component usually refers to the fluctuation of wind power generation in the short term (such as within a few seconds to a few minutes), which may have an adverse effect on the stability and power quality of the power grid.

[0032] The above-mentioned wind power output sequence signal is a wind power output sequence signal of a certain day, or is obtained by processing wind power output sequence signals of multiple days.

[0033] Step S204, determining the maximum amplitude and the minimum amplitude of the high-frequency component, and determining the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude;

[0034] Through the above step S204, the range of wind power output fluctuation in a typical day or a specific time period can be determined. By calculating the maximum amplitude and minimum amplitude of the high-frequency component, a basis can be provided for the maximum input power configuration of the hydrogen production system.

[0035] Step S206, determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value;

[0036] Step S208: establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0037] In the embodiment of the present application, the hydrogen production system is integrated as a flexible resource of the wind farm. Through the control strategy, the hydrogen production system can respond to the high-frequency fluctuations of wind power output and convert excess wind power into hydrogen for storage or use.

[0038] Through the above steps, the wind power output sequence signal of the wind power system is obtained, and the high-frequency component of the wind power output sequence signal is determined; the maximum amplitude and the minimum amplitude of the high-frequency component are determined, and the upper limit and the lower limit of the maximum input power of the hydrogen production system are determined according to the maximum amplitude and the minimum amplitude; the maximum input power of the hydrogen production system is determined according to the upper limit and the lower limit; the coupling relationship between the hydrogen production system with the maximum input power and the wind power system is established. That is, in the embodiment of the present application, the optimal matching of the hydrogen production system and the wind power system is determined by analyzing the characteristics of the wind power output, especially its high-frequency component, so that the hydrogen production system can respond to the changes in the wind power output more efficiently, reduce the phenomenon of wind abandonment, improve the utilization rate of wind power, and the hydrogen production system can respond to the changes in the output power of the wind power system, thereby reducing the impact of the wind power system on the power grid. Therefore, the problem of how to maximize the use of wind energy resources and reduce the impact of wind power on the power grid can be solved.

[0039] Optionally, in the process of determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value, the method includes: determining the Nth input power in the target interval, wherein the target interval is the interval corresponding to the upper limit value and the lower limit value, and N is a positive integer; determining the total electricity revenue corresponding to the Nth input power, and determining whether the Nth input power is the maximum input power based on the total electricity revenue corresponding to the Nth input power.

[0040] The embodiment of the present application provides a method for determining the maximum input power of the hydrogen production system that can maximize the total benefit from the upper and lower limits of the given hydrogen production system input power. The details are as follows:

[0041] 1) Determine the Nth input power in the target interval: In this interval, select a series of input power values, each of which can be marked as the Nth input power, where N is a positive integer representing the position of the sequence. Then, by analyzing different input power values ​​one by one, we can find the input power of the hydrogen production system that can maximize the total benefit in this interval.

[0042] 2) Calculate the total electricity revenue corresponding to the Nth input power: For each selected input power value (i.e., the Nth input power), simulate the operation of the hydrogen production system in one day according to the previously established calculation model, including the amount of hydrogen produced, the amount of electricity connected to the grid, and the revenue generated by these amounts. The calculation of the total electricity revenue here includes two parts: one is the revenue obtained by multiplying the amount of electricity connected to the grid by the grid electricity price; the other is the revenue obtained by dividing the amount of hydrogen produced by the unit consumption of hydrogen production and then multiplying it by the hydrogen price. The total revenue is equal to the sum of these two parts of revenue.

[0043] 2) Determine whether the Nth input power is the maximum input power: By comparing the total benefits corresponding to different input power values, if the total benefit corresponding to the Nth input power currently analyzed is higher than the total benefits of all previously analyzed input powers, then it is temporarily considered that this Nth input power can maximize the total benefit. As the analysis proceeds, if the total benefit corresponding to the subsequent input power value is higher, the maximum input power will be updated. Finally, after analyzing all input power values ​​in the entire interval, a maximum total benefit can be determined, and the corresponding input power value is the required maximum input power.

[0044] Through the embodiment of the present application, the goal of maximizing the total power revenue can be achieved while ensuring the smooth output of wind power. This optimization strategy based on interval analysis and revenue calculation can effectively avoid blindly configuring the capacity of the hydrogen production system and achieve rational use of resources.

[0045] Optionally, determining the total power revenue corresponding to the Nth input power includes: performing low-pass filtering on the wind power output sequence signal to determine a low-frequency load signal of the wind power output sequence signal; determining a high-frequency load signal of the wind power output sequence signal based on the low-frequency load signal; determining a response signal of the hydrogen production system based on the high-frequency load signal and the Nth input power, wherein the response signal is a power signal of the hydrogen production system; and determining the total power revenue corresponding to the Nth input power based on the response signal.

[0046] The embodiment of the present application provides a solution for calculating the total power revenue, specifically:

[0047] 1) performing low-pass filtering on the wind power output sequence signal;

[0048] Specifically: The wind power output sequence signal is low-pass filtered through a first-order infinite impulse response (IIR) filter to distinguish the low-frequency and high-frequency components in the wind power output. The low-frequency component usually represents the basic power output trend of wind power, while the high-frequency component reflects the instantaneous fluctuation and uncertainty of wind power output. The cutoff frequency of the filter is set to fc = 1 / 30Hz, and then the signal components higher than this frequency are eliminated, and the low-frequency components are retained, thereby obtaining the low-frequency load signal P_Lowfreq(t).

[0049] 2) determining a high-frequency load signal of the wind power output sequence signal according to the low-frequency load signal;

[0050] After obtaining the low-frequency load signal, the high-frequency load signal P_Highfreq(t) can be obtained by simple mathematical operation, that is, subtracting the low-frequency load signal from the original wind power output sequence signal. The high-frequency load signal represents the instantaneous power fluctuation that needs to be smoothed.

[0051] 3) determining a response signal of the hydrogen production system according to the high-frequency load signal and the Nth input power;

[0052] The response signal Ph(t) of the hydrogen production system is determined according to the high-frequency load signal at the current moment and the given input power Qh of the hydrogen production system. Specifically, if the high-frequency load signal P_Highfreq(t) is greater than the given maximum input power Qh of the hydrogen production system, then the response signal of the hydrogen production system will be equal to its maximum input power Qh; if the high-frequency load signal is less than or equal to Qh, then the hydrogen production system will fully respond to the high-frequency load signal, that is, the response signal is equal to the value of the high-frequency load signal.

[0053] 4) Determine the total power revenue corresponding to the Nth input power according to the response signal.

[0054] Through the above steps, the embodiment of the present application can effectively analyze the spectrum characteristics of wind power output, and use the flexible adjustment capability of the hydrogen production system to smooth the wind power output, while determining the optimal configuration capacity of the hydrogen production system through an optimization algorithm to maximize the total electricity revenue.

[0055] Optionally, the total electricity revenue corresponding to the Nth input power is determined according to the response signal, including: determining the online wind power according to the response signal and the wind power output sequence signal, and determining the output power according to the online wind power; determining the hydrogen production power of the hydrogen production system according to the response signal; determining the total electricity revenue according to the unit electricity price, the output power, the hydrogen production power, the unit consumption of hydrogen production and the unit price of hydrogen.

[0056] It should be noted that the calculation of total electricity revenue combines the grid-connected wind power and hydrogen production revenue. First, according to the response signal Ph(t) of the hydrogen production system, the response signal is subtracted from the original wind power output sequence signal to obtain the grid-connected wind power Pwin_U(t), and then the grid-connected electricity and hydrogen production electricity are calculated. Finally, the total electricity revenue Incom is calculated by the grid-connected electricity price multiplied by the grid-connected electricity plus the hydrogen production electricity divided by the hydrogen production unit consumption multiplied by the hydrogen price.

[0057] Through the embodiments of the present application, the response of the hydrogen production system to the fluctuation of wind power output and the influence of such response on the wind power grid-connected power and the smooth wind power output are analyzed, and finally the total power revenue is calculated, thereby realizing the optimal configuration of the capacity of the hydrogen production system, which not only ensures the economic benefits of the wind farm, but also improves the stability of the power system.

[0058] In an exemplary embodiment, a response signal of the hydrogen production system is determined based on the high-frequency load signal and the Nth input power, including: when the high-frequency load signal is greater than the Nth input power, determining the power value of the response signal to be the power value of the Nth input power; when the high-frequency load signal is less than or equal to the Nth input power, determining the power value of the response signal to be the power value of the high-frequency load signal.

[0059] That is to say, if the high-frequency load signal P_Highfreq(t) is greater than the given maximum input power Qh of the hydrogen production system, then the response signal of the hydrogen production system will be equal to its maximum input power Qh; if the high-frequency load signal is less than or equal to Qh, then the hydrogen production system will fully respond to the high-frequency load signal, that is, the response signal is equal to the value of the high-frequency load signal.

[0060] In an exemplary embodiment, determining the Nth input power of the target interval includes: updating the power value of the N-1th input power according to a particle swarm optimization algorithm to determine the Nth input power.

[0061] Determining whether the Nth input power is the maximum input power based on the total power revenue corresponding to the Nth input power includes: determining the total power revenue corresponding to the first input power to the last input power respectively; determining the total power revenue with the highest value among the total power revenue corresponding to the first input power to the last input power respectively; and determining the total power revenue with the highest value as the maximum input power.

[0062] In the embodiment of the present application, a method for optimizing power configuration is performed by using a particle swarm optimization algorithm (PSO for short). The particle swarm optimization algorithm is a heuristic search algorithm that imitates the foraging behavior of a flock of birds and searches for the optimal solution in the solution space through mutual "learning" and "tracking" between individuals. Specifically:

[0063] 1) Dynamically update input power;

[0064] "Update the power value of the N-1th input power according to the particle swarm optimization algorithm to determine the Nth input power." That is, the algorithm will adjust the input power value of the current round (Nth round) according to the input power value of the previous round (N-1th round) and its corresponding solution (such as total power revenue). This dynamic adjustment is an important feature of the particle swarm optimization algorithm. Through continuous iteration, particles (that is, possible solutions) move in the solution space to find the optimal input power configuration.

[0065] 2) Determine the maximum input power;

[0066] The algorithm calculates the total power benefit of each input power configuration (from the first to the last), and then finds the configuration with the highest benefit from these calculation results and determines it as the maximum input power. This is actually performing a single-objective optimization in a multi-objective optimization, that is, finding the configuration that can produce the highest benefit among multiple possible power configurations.

[0067] The target input power configuration of the hydrogen production system is dynamically adjusted through the particle swarm optimization algorithm to maximize the total power revenue while satisfying the smooth wind power output. The embodiment of the present application can effectively deal with the randomness and intermittency of wind power output, and use the hydrogen production system as a flexible resource, which not only optimizes the operating efficiency of the power system, but also may bring additional economic benefits through hydrogen production byproducts.

[0068] In order to better understand the process of the method for establishing the above coupling relationship, the implementation method flow of establishing the above coupling relationship is described below in combination with an optional embodiment, but it is not used to limit the technical solution of the embodiment of the present application.

[0069] In this embodiment, a method for establishing a coupling relationship is provided, which includes the following steps:

[0070] Step 1: Calculate the typical day wind power output sequence data Pwin(t) (equivalent to the wind power output sequence signal in the above embodiment) by using wind power planning software, with an interval of 10S;

[0071] Step 2: Use discrete Fourier transform (DFT) to analyze the frequency domain distribution of wind power output sequence data, and decompose the wind power output into low-frequency components and high-frequency components with 30S as the dividing point between high and low frequencies;

[0072] Step 3: Analyze the amplitude of the high-frequency component of the typical daily wind power output sequence, calculate the maximum amplitude Pmax and minimum amplitude Pmin of the high-frequency component within the day, and determine the upper and lower limits of the capacity Qh of the hydrogen production system (i.e. the above-mentioned maximum input power) as [Pmin, Pmax];

[0073] Step 4: For a given Qh within the range described in step 3, simulate the intraday operation according to the following process and calculate the total intraday return Incom.

[0074] Step 4.1: low-pass filter the wind power output signal sequence through a first-order infinite impulse response (IIR) filter with a cutoff frequency of fc=1 / 30 Hz, and calculate the current filtered low-frequency load signal P_Lowfreq(t);

[0075] Step 4.2: Calculate the filtered high-frequency load signal P_Highfreq(t): P_Highfreq(t)=Pwin(t)-P_Lowfreq(t);

[0076] Step 4.3: Calculate the hydrogen production system response signal Ph(t):

[0077] If P_Highfreq(t)>Qh, then Ph(t)=Qh,

[0078] If P_Highfreq(t)<=Qh, then Ph(t)=P_Highfreq(t),

[0079] Step 4.4: Calculate the on-grid wind power Pwin_U(t):

[0080] Pwin_U(t)=Pwin(t)-Ph(t);

[0081] Step 4.5: Calculate the daily grid-connected electricity Qwin according to the grid-connected wind power, and determine the hydrogen production electricity Qh2 according to the response signal;

[0082] Step 4.6: Calculate the total intraday return Incom;

[0083] Incom = grid-connected electricity price * grid-connected electricity volume + hydrogen production electricity volume / hydrogen production unit consumption * hydrogen price.

[0084] Step 5: Using the particle swarm optimization algorithm, according to the calculation model constructed in step 4, within the range calculated in step 3, optimize the scale of the hydrogen production system, find the configuration scheme with the highest daily profit, and configure the hydrogen production system with the Qh value corresponding to the highest daily profit.

[0085] In the embodiment of the present application, the wind power output is decomposed into a high-frequency component and a low-frequency component, and a hydrogen production system is used to respond to the high-frequency component to smooth the wind power output; combined with the amplitude analysis of the high-frequency component of the wind power output and the operation simulation, an optimization algorithm is used to determine the optimal configuration scheme.

[0086] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0087] In the present embodiment, a device for establishing a coupling relationship is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceived.

[0088] Figure 3 is a structural block diagram of a device for establishing a coupling relationship according to an embodiment of the present application, such as Figure 3 As shown, the device comprises:

[0089] A first determination module 32 is used to obtain a wind power output sequence signal of the wind power system and determine a high frequency component of the wind power output sequence signal;

[0090] A second determination module 34 is used to determine the maximum amplitude and the minimum amplitude of the high-frequency component, and determine the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude;

[0091] A third determination module 36, configured to determine the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value;

[0092] The establishing module 38 is used to establish a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0093] Through the above-mentioned device, the wind power output sequence signal of the wind power system is obtained, and the high-frequency component of the wind power output sequence signal is determined; the maximum amplitude and the minimum amplitude of the high-frequency component are determined, and the upper limit and the lower limit of the maximum input power of the hydrogen production system are determined according to the maximum amplitude and the minimum amplitude; the maximum input power of the hydrogen production system is determined according to the upper limit and the lower limit; the coupling relationship between the hydrogen production system with the maximum input power and the wind power system is established. That is, in the embodiment of the present application, the optimal matching of the hydrogen production system and the wind power system is determined by analyzing the characteristics of the wind power output, especially its high-frequency component, so that the hydrogen production system can respond to the changes in the wind power output more efficiently, reduce the phenomenon of wind abandonment, improve the utilization rate of wind power, and the hydrogen production system can respond to the changes in the output power of the wind power system, thereby reducing the impact of the wind power system on the power grid. Therefore, the problem of how to maximize the use of wind energy resources and reduce the impact of wind power on the power grid can be solved.

[0094] In an exemplary embodiment, the third determination module 36 is used to determine the Nth input power in the target interval, wherein the target interval is the interval corresponding to the upper limit value and the lower limit value, and N is a positive integer; determine the total power revenue corresponding to the Nth input power, and determine whether the Nth input power is the maximum input power based on the total power revenue corresponding to the Nth input power.

[0095] In an exemplary embodiment, the third determination module 36 is used to perform low-pass filtering on the wind power output sequence signal to determine the low-frequency load signal of the wind power output sequence signal; determine the high-frequency load signal of the wind power output sequence signal according to the low-frequency load signal; determine the response signal of the hydrogen production system according to the high-frequency load signal and the Nth input power, wherein the response signal is the power signal of the hydrogen production system; and determine the total power revenue corresponding to the Nth input power according to the response signal.

[0096] In an exemplary embodiment, the third determination module 36 is used to determine the grid-connected wind power according to the response signal and the wind power output sequence signal, and to determine the output power according to the grid-connected wind power; to determine the hydrogen production power of the hydrogen production system according to the response signal; and to determine the total electricity revenue according to the unit electricity price, the output power, the hydrogen production power, the unit consumption of hydrogen production and the unit price of hydrogen.

[0097] In an exemplary embodiment, the third determination module 36 is used to determine that the power value of the response signal is the power value of the Nth input power when the high-frequency load signal is greater than the Nth input power; and to determine that the power value of the response signal is the power value of the high-frequency load signal when the high-frequency load signal is less than or equal to the Nth input power.

[0098] In an exemplary embodiment, the third determination module 36 is configured to update the power value of the N-1th input power according to a particle swarm optimization algorithm to determine the Nth input power.

[0099] The third determination module 36 is used to determine the total power benefits corresponding to the first input power to the last input power; determine the total power benefit with the highest value among the total power benefits corresponding to the first input power to the last input power; and determine the total power benefit with the highest value as the maximum input power.

[0100] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0101] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0102] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0103] S1, obtaining a wind power output sequence signal of a wind power system, and determining a high frequency component of the wind power output sequence signal;

[0104] S2, determining the maximum amplitude and the minimum amplitude of the high-frequency component, and determining the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude;

[0105] S3, determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value;

[0106] S4, establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0107] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0108] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0109] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0110] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0111] S1, obtaining a wind power output sequence signal of a wind power system, and determining a high frequency component of the wind power output sequence signal;

[0112] S2, determining the maximum amplitude and the minimum amplitude of the high-frequency component, and determining the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude;

[0113] S3, determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value;

[0114] S4, establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0115] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any one of the above method embodiments are implemented.

[0116] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0117] An embodiment of the present application also provides a computer program, which includes computer instructions, which are stored in a computer-readable storage medium; a processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in any one of the above method embodiments.

[0118] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0119] S1, obtaining a wind power output sequence signal of a wind power system, and determining a high frequency component of the wind power output sequence signal;

[0120] S2, determining the maximum amplitude and the minimum amplitude of the high-frequency component, and determining the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude;

[0121] S3, determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value;

[0122] S4, establishing a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

[0123] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0124] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0125] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for establishing a coupling relationship, characterized in that: include: Acquire a wind power output sequence signal of a wind power system, and determine a high frequency component of the wind power output sequence signal; Determining a maximum amplitude and a minimum amplitude of the high-frequency component, and determining an upper limit and a lower limit of a maximum input power of a hydrogen production system according to the maximum amplitude and the minimum amplitude; The maximum input power of the hydrogen production system is determined according to the upper limit value and the lower limit value; and a coupling relationship between the hydrogen production system with the maximum input power and the wind power system is established.

2. The method according to claim 1, characterized in that In the process of determining the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value, the method includes: Determine an Nth input power in a target interval, wherein the target interval is an interval corresponding to the upper limit value and the lower limit value, and N is a positive integer; A total power gain corresponding to the Nth input power is determined, and whether the Nth input power is a maximum input power is determined according to the total power gain corresponding to the Nth input power.

3. The method according to claim 2, characterized in that Determining the total power revenue corresponding to the Nth input power includes: Performing low-pass filtering on the wind power output sequence signal to determine a low-frequency load signal of the wind power output sequence signal; Determine a high-frequency load signal of the wind power output sequence signal according to the low-frequency load signal; Determining a response signal of the hydrogen production system according to the high-frequency load signal and the Nth input power, wherein the response signal is a power signal of the hydrogen production system; The total power benefit corresponding to the Nth input power is determined according to the response signal.

4. The method according to claim 3, characterized in that Determining the total power benefit corresponding to the Nth input power according to the response signal includes: Determine the on-grid wind power according to the response signal and the wind power output sequence signal, and determine the output power according to the on-grid wind power; Determining the amount of hydrogen produced by the hydrogen production system according to the response signal; The total electricity revenue is determined based on the unit electricity price, the output electricity, the hydrogen production electricity, the unit consumption of hydrogen production and the unit price of hydrogen.

5. The method according to claim 3, characterized in that: Determining a response signal of the hydrogen production system according to the high-frequency load signal and the Nth input power includes: In a case where the high-frequency load signal is greater than the Nth input power, determining the power value of the response signal to be the power value of the Nth input power; In a case where the high-frequency load signal is less than or equal to the Nth input power, the power value of the response signal is determined to be the power value of the high-frequency load signal.

6. The method according to claim 2, characterized in that Determining the Nth input power of the target interval includes: The power value of the N-1th input power is updated according to the particle swarm optimization algorithm to determine the Nth input power; Determining whether the Nth input power is the maximum input power according to the total power revenue corresponding to the Nth input power includes: determining the total power revenues corresponding to the first input power to the last input power respectively; Determine the highest total power benefit among the total power benefits corresponding to the first input power to the last input power; The total power benefit having the highest value is determined as the maximum input power.

7. A device for establishing a coupling relationship, characterized in that: include: A first determination module is used to obtain a wind power output sequence signal of a wind power system and determine a high frequency component of the wind power output sequence signal; A second determination module is used to determine the maximum amplitude and the minimum amplitude of the high-frequency component, and determine the upper limit and the lower limit of the maximum input power of the hydrogen production system according to the maximum amplitude and the minimum amplitude; A third determination module, configured to determine the maximum input power of the hydrogen production system according to the upper limit value and the lower limit value; An establishing module is used to establish a coupling relationship between the hydrogen production system with the maximum input power and the wind power system.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the method according to any one of claims 1 to 6 is executed when the program is executed.

9. An electronic device, comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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