A method, medium and system for simulating power time domain of one-time frequency modulation

Abstract

The application discloses a primary frequency modulation power time domain simulation method, medium and system, and the method comprises the following steps: 1) extracting unit steady-state power response characteristic parameters, wherein the unit steady-state power response characteristic parameters comprise steady-state power frequency characteristic parameters and steady-state power amplitude characteristic parameters; 2) constructing a steady-state power response model according to the unit steady-state power response characteristic parameters; 3) constructing a primary frequency modulation power response model; 4) calculating power variable simulation data according to the steady-state power response model of step 2), calculating power simulation data according to the primary frequency modulation power response model of step 3), superimposing the power variable simulation data and the power simulation data, and generating primary frequency modulation power time domain simulation data. The application has the advantages of simple operation, high simulation precision and the like.

Description

Technical Field

[0001] This invention mainly relates to the field of primary frequency modulation simulation technology, specifically to a primary frequency modulation power time-domain simulation method, medium, and system. Background Technology

[0002] The primary frequency regulation function of generator sets and power plants is crucial for supporting the frequency stability of the power grid. Currently, the power grid requires the assessment and management of the primary frequency regulation performance of generator sets and power plants. Accurate analysis of the primary frequency regulation performance of generator sets and power plants is essential for meeting the management requirements of the power grid.

[0003] Currently, commonly used primary frequency regulation power simulation methods struggle to account for the impact of random power fluctuations in generating units and power plants on simulation accuracy, thus reducing the reliability of simulation calculations. Therefore, improving the accuracy of primary frequency regulation power simulation is of great significance for accurately understanding the primary frequency regulation characteristics of generating units and power plants and guiding the optimization of their primary frequency regulation performance. Summary of the Invention

[0004] The technical problem to be solved by this invention is: in view of the technical problems existing in the prior art, this invention provides a simple operation and high simulation accuracy method, medium and system for time-domain simulation of primary frequency modulation power.

[0005] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows:

[0006] A method for time-domain simulation of primary frequency modulation power, comprising the following steps:

[0007] 1) Extract the steady-state power response characteristic parameters of the unit, which include steady-state power frequency characteristic parameters and steady-state power amplitude characteristic parameters;

[0008] 2) Construct a steady-state power response model based on the unit's steady-state power response characteristic parameters;

[0009] 3) Construct a primary frequency modulation power response model;

[0010] 4) Calculate the power variable simulation data based on the steady-state power response model in step 2), calculate the power simulation data based on the primary frequency modulation power response model in step 3), and superimpose the power variable simulation data and the power simulation data to generate the primary frequency modulation power time-domain simulation data.

[0011] Preferably, the specific process for obtaining the steady-state power amplitude characteristic parameters in step 1) is as follows:

[0012] 1.1) Extract steady-state load data of the units within a certain time period. X iX represents the steady-state load data at the i-th time point, where n is the length of the steady-state load data. The time interval Δt between adjacent elements in X is equal, and the corresponding sampling rate is f = 1 / Δt; where i = 1 to n.

[0013] 1.2) Calculate the unit's steady-state load variables using the unit's steady-state load data. in It is the mean of the unit's steady-state load data X;

[0014] 1.3) According to The steady-state power amplitude characteristic parameters were calculated.

[0015] in The intermediate variable x = {x} is obtained through discrete Fourier transform calculation. i},in In the formula, j is the imaginary unit, j 2 =-1.

[0016] Preferably, the specific process for obtaining the steady-state power frequency characteristic parameters in step 1) is as follows:

[0017] Steady-state power frequency characteristic parameter F={F m},

[0018] Preferably, the functional expression of the steady-state power response model in step 2) is:

[0019]

[0020] In the formula, ΔP is the steady-state power increment; A i It is the i-th element of the steady-state power amplitude characteristic parameter A; F i It is the i-th element of the steady-state power frequency characteristic parameter F; t is the current simulation time; ph i It is the i-th phase angle, ph i = 2π·rand, where rand is a random number between 0 and 1.

[0021] Preferably, the functional expression of the primary frequency modulation power response model in step 3) is:

[0022]

[0023] In the formula, P is the unit power; Q is the steam flow rate; G(s) is the transfer function between the steam flow rate Q and the unit power P; TN is the power response time constant 1; TCH is the power response time constant 2; TD is the power response time constant 3; and s is the Laplace operator.

[0024] Preferably, the specific process of step 4) is as follows:

[0025] 4.1) Calculate the simulated power variable ΔP based on the steady-state power response model from step 2). S ={ΔP S,i}(i=1~N), ΔP S,i These are the power variable simulation data at the i-th time point;

[0026] 4.2) Calculate the power simulation data P based on the primary frequency modulation power response model from step 3). S ={P S,i}(i=1~N), P S,i This is the power simulation data at the i-th time point;

[0027] 4.3) Superimposed power variable simulation data ΔP S and power simulation data P S Generate time-domain simulation data of primary frequency modulation power

[0028] Preferably, in steps 4.1) and 4.2), the corresponding response model is built in the time-domain simulation software Matlab / Simulink.

[0029] Preferably, in step 1.1), the steady-state load data of the unit is extracted from the unit's synchronization vector measurement device.

[0030] The present invention also discloses a computer-readable storage medium having a computer program stored thereon, the computer program performing the steps of the method described above when run by a processor.

[0031] The present invention further discloses a primary frequency modulation power time-domain simulation system, including a memory and a processor. The memory stores a computer program, which executes the steps of the method described above when run by the processor.

[0032] Compared with the prior art, the advantages of the present invention are as follows:

[0033] This invention extracts the characteristic parameters of the unit's steady-state power response and constructs a steady-state power response model and a primary frequency regulation power response model. Based on each response model, it obtains power variable simulation data and power simulation data. By superimposing the power variable simulation data and power simulation data, it generates primary frequency regulation power time-domain simulation data. The above overall method is simple to operate and, based on measured power data, realizes the extraction and simulation of the actual power response characteristics of primary frequency regulation, which can improve the accuracy of primary frequency regulation power time-domain simulation. Attached Figure Description

[0034] Figure 1 This is a flowchart of the simulation method of the present invention in an embodiment.

[0035] Figure 2 The figures show a comparison between the simulated power curve generated by the conventional simulation method and the measured power curve; where (a) is the simulated power curve generated by the conventional simulation method and (b) is the measured power curve.

[0036] Figure 3 The above are comparison graphs of the power simulation curve and the measured power curve generated by the method of the present invention; wherein (a) is the simulated power curve generated by the method of the present invention; and (b) is the measured power curve. Detailed Implementation

[0037] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0038] like Figure 1 As shown, this embodiment of the invention provides a method for time-domain simulation of primary frequency modulation power, including the following steps:

[0039] 1) Extract the steady-state power response characteristic parameters of the unit, which include steady-state power frequency characteristic parameters and steady-state power amplitude characteristic parameters;

[0040] 2) Construct a steady-state power response model based on the unit's steady-state power response characteristic parameters;

[0041] 3) Construct a primary frequency modulation power response model;

[0042] 4) Calculate the power variable simulation data based on the steady-state power response model in step 2), calculate the power simulation data based on the primary frequency modulation power response model in step 3), and superimpose the power variable simulation data and the power simulation data to generate the primary frequency modulation power time-domain simulation data.

[0043] This invention extracts the characteristic parameters of the unit's steady-state power response and constructs a steady-state power response model and a primary frequency regulation power response model. Based on each response model, it obtains power variable simulation data and power simulation data. By superimposing the power variable simulation data and power simulation data, it generates primary frequency regulation power time-domain simulation data. The above overall method is simple to operate and, based on measured power data, realizes the extraction and simulation of the actual power response characteristics of primary frequency regulation, which can improve the accuracy of primary frequency regulation power time-domain simulation.

[0044] In one specific embodiment, the specific process of step 1) is as follows:

[0045] 1.1) Using conventional methods, extract the unit steady-state load data X={X} from the synchronous vector measurement device over a certain period of time. i}(i=1~n), X iX represents the steady-state load data at the i-th time point, where n is the length of the steady-state load data, such as n = 3000. The time interval Δt between adjacent elements in X is equal, and the corresponding sampling rate is f = 1 / Δt, such as f = 50Hz.

[0046] 1.2) Steady-state load variables of computer groups It is the mean of the unit's steady-state load data X;

[0047] 1.3) Calculate the data record processing length

[0048] 1.4) The intermediate variable x = {x} is obtained through discrete Fourier transform calculation. i}(i=1~n), where In the formula, j is the imaginary unit, j 2 =-1;

[0049] 1.5) Calculate intermediate variables

[0050] 1.6) According to The steady-state power amplitude characteristic parameters can be obtained by calculation.

[0051] 1.7) Calculate the steady-state power frequency characteristic parameters

[0052] In one specific embodiment, the functional expression of the steady-state power response model in step 2) is:

[0053]

[0054] In the above formula, ΔP is the steady-state power increment; A i It is the i-th element of the steady-state power amplitude characteristic parameter A; F i It is the i-th element of the steady-state power frequency characteristic parameter F; t is the current simulation time; ph i It is the i-th phase angle, ph i = 2π·rand, where rand is a random number between 0 and 1.

[0055] In one specific embodiment, the functional expression of the primary frequency modulation power response model in step 3) is:

[0056]

[0057] In the above formula, P is the unit power; Q is the steam flow rate; G(s) is the transfer function between the steam flow rate Q and the unit power P; T N It is the power response time constant 1; T CH It is the power response time constant 2; T D3 is the power response time constant; s is the Laplace operator.

[0058] In one specific embodiment, step 4) is performed as follows:

[0059] 4.1) Build the steady-state power response model described in step 2) in the time-domain simulation software Matlab / Simulink, and calculate and generate simulation data ΔP of the power variable. S ={ΔP S,i}(i=1~N);

[0060] 4.2) Build the primary frequency modulation power response model described in step 3) in the time-domain simulation software Matlab / Simulink, and calculate the power simulation data P. S ={P S,i}(i=1~N);

[0061] 4.3) Superimposed power variable simulation data ΔP S and power simulation data P S Generate time-domain simulation data of primary frequency modulation power

[0062] in Figure 2 This is a comparison chart of the simulated primary frequency modulation power curve and the actual curve, generated using conventional simulation methods. Figure 2 (a) is the simulated power curve generated by the conventional simulation method; (b) is the measured power curve. Figure 3 This is a comparison chart of the simulated primary frequency modulation power curve and the actual curve generated using this simulation method; where... Figure 3 (a) is the simulated power curve generated by the method of this invention; (b) is the measured power curve. Figure 2 It is evident that although simulated curves can reflect the changing trends of actual curves at the macroscopic level, they cannot simulate the small load fluctuations contained in the actual curves; and Figure 3 While reflecting the actual trend of curve changes at the macro level, it can also reflect the phenomenon of small fluctuations in load.

[0063] This invention also discloses a computer-readable storage medium storing a computer program thereon, which, when run by a processor, executes the steps of the method described above. This invention further discloses a primary frequency modulation power time-domain simulation system, including a memory and a processor, wherein the memory stores a computer program, which, when run by a processor, executes the steps of the method described above. The medium and simulation system of this invention correspond to the simulation method described above and also have the steps described above.

[0064] As shown in this disclosure and the claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" are not specifically singular and may include plural forms. The terms "first," "second," and similar terms used in this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "comprising" or "including" mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, without excluding other elements or objects. The terms "connected" or "linked" are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect.

[0065] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for power time-domain simulation of a one-time frequency modulation, characterized in that, The method comprises the steps of: 1) extracting unit steady-state power response characteristic parameters, wherein the unit steady-state power response characteristic parameters comprise steady-state power frequency characteristic parameters and steady-state power amplitude characteristic parameters; 2) constructing a steady-state power response model according to the unit steady-state power response characteristic parameters; 3) constructing a primary frequency modulation power response model; 4) calculating power variable simulation data according to the steady-state power response model of step 2), calculating power simulation data according to the primary frequency modulation power response model of step 3), superimposing the power variable simulation data and the power simulation data, and generating primary frequency modulation power time-domain simulation data; The function expression of the primary frequency modulation power response model in step 3) is: where P is the unit power; Q is the steam flow rate; G(s) is a transfer function between the steam flow rate Q and the unit power P; T N is a power response time constant 1; T CH is a power response time constant 2; T D is a power response time constant 3; s is a Laplace operator.

2. The method of claim 1, wherein, The specific process of obtaining the steady-state power amplitude characteristic parameters in step 1) is as follows: 1.1) Extract the steady-state load data of the unit in a certain period of time , is the steady-state load data at the i th time point, n is the length of the steady-state load data, The time interval between adjacent elements in is equal, and the corresponding sampling rate is ; wherein i = 1 ~ n; 1.2) Calculate the unit steady state load variables from the unit steady state load data where is the mean of the unit steady state load data ; 1.3) according to , , , the steady-state power amplitude characteristic parameter is calculated wherein ; intermediate variables are computed by discrete Fourier calculation wherein wherein j is the imaginary unit, .

3. The method of claim 2, wherein, The specific process of obtaining the steady-state power frequency characteristic parameters in step 1) is as follows: Steady state power frequency characteristic parameter , , ; wherein is the sampling rate.

4. The method of claim 3, wherein, The function expression of the steady-state power response model in step 2) is: In the formula, It is the steady-state power increment; It is a characteristic parameter of steady-state power amplitude. The i-th element; Steady-state power-frequency characteristic parameters The i-th element; t is the current simulation time; is the i-th phase angle, rand is a random number between 0 and 1.

5. The method of claim 1, wherein, The specific process of step 4) is as follows: 4.1) Calculate power variable simulation data from the steady state power response model of step 2) , is the power variable simulation data at the i-th time point. 4.2) Calculate power simulation data according to the once-frequency power response model of step 3) , is the power simulation data at the i-th time point; 4.3) Superimposed power variable simulation data and power simulation data Generating primary frequency power time domain simulation data .

6. The method of claim 5, wherein, In steps 4.1) and 4.2), the corresponding response model is built in the time-domain simulation software Matlab / Simulink.

7. The method of claim 1-6, wherein, In step 1.1), the unit steady-state load data is extracted from the unit synchronous vector measurement device.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program, when executed by the processor, performs the steps of the method according to any one of claims 1-7.

9. A power time-domain simulation system for frequency modulation, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program comprises the following steps of: The computer program, when executed by the processor, performs the steps of the method according to any one of claims 1-7.

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