CN116316692A - Method and device for determining resonant frequency of wind power grid-connected system - Google Patents

Method and device for determining resonant frequency of wind power grid-connected system Download PDF

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CN116316692A
CN116316692A CN202310257722.4A CN202310257722A CN116316692A CN 116316692 A CN116316692 A CN 116316692A CN 202310257722 A CN202310257722 A CN 202310257722A CN 116316692 A CN116316692 A CN 116316692A
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wind power
power grid
determining
grid
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高静
卢毅
赵媛
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

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Abstract

The application provides a method and a device for determining the resonant frequency of a wind power grid-connected system, wherein the method comprises the following steps: acquiring a grid-connected current signal of a target wind power grid-connected system; dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed; and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed. The method and the device can determine the resonant frequency of the wind power grid-connected system, are accurate and efficient, and further can ensure safe and stable operation of the power grid.

Description

Method and device for determining resonant frequency of wind power grid-connected system
Technical Field
The application relates to the technical field of wind power grid connection, in particular to a method and a device for determining the resonant frequency of a wind power grid connection system.
Background
With the large-scale network access of new energy sources such as wind power and the like, a large number of power electronic equipment is connected into a power system, and due to the characteristic of randomness, intermittence and fluctuation of wind energy, harmonic components in a power grid are more complex, and the resonance phenomenon of the system is easy to occur due to the interaction between the power electronic equipment and a large power grid.
Resonance is a phenomenon in a system caused by the fact that the harmonic frequency approaches the natural resonant frequency of the system. The resonance can seriously influence the safe and stable operation of the power grid, and even the system paralysis can be caused when the resonance is serious, so that the research on how to determine the resonance frequency of the large-scale wind power grid-connected system has important significance. At present, no related research is available for determining the resonant frequency of a large-scale wind power grid-connected system.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a method and a device for determining the resonant frequency of a wind power grid-connected system, which can be used for determining the resonant frequency of the wind power grid-connected system accurately and efficiently, and further can be used for ensuring safe and stable operation of a power grid.
In order to solve the technical problems, the application provides the following technical scheme:
in a first aspect, the present application provides a method for determining a resonant frequency of a wind power grid-connected system, including:
acquiring a grid-connected current signal of a target wind power grid-connected system;
dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
Further, the determining the resonance frequency of the target wind power grid-connected system by performing fourier transform on the sub-band to be processed includes:
determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure BDA0004130209130000021
wherein α is a frequency variable; t is a time variable; i is a constant; w'. n (t) is the sub-band to be processed;
Figure BDA0004130209130000025
as a spectral function, represent W' n Fourier transform of (t); />
Figure BDA0004130209130000022
The frequency spectrum of the target wind power grid-connected system is obtained;
and determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
Further, the dividing the grid-connected current signal into a plurality of subband signals includes:
the grid-tied current signal is divided into a plurality of subband signals by wavelet packet transformation.
Further, the dividing the grid-connected current signal into a plurality of subband signals by wavelet packet transformation includes:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure BDA0004130209130000023
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); W2n ( t ) For the grid-connected current signal W n A subband signal of (t); w (W) 2n+1 ( t ) For the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer.
In a second aspect, the present application provides a resonant frequency determining device of a wind power grid-connected system, including:
the acquisition module is used for acquiring a grid-connected current signal of the target wind power grid-connected system;
the dividing module is used for dividing the grid-connected current signal into a plurality of sub-band signals and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
and the determining module is used for determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
Further, the determining module includes:
the first determining unit is used for determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure BDA0004130209130000024
wherein α is a frequency variable; t is a time variable; i is a constant; w (W) n ' t is the sub-band to be processed;
Figure BDA0004130209130000031
as a spectral function, represent W n A fourier transform of' (t); />
Figure BDA0004130209130000032
The frequency spectrum of the target wind power grid-connected system is obtained;
and the second determining unit is used for determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
Further, the dividing module includes:
and the dividing unit is used for dividing the grid-connected current signal into a plurality of sub-band signals through wavelet packet transformation.
Further, the dividing unit is specifically configured to:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure BDA0004130209130000033
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); w (W) 2n ( t ) For the grid-connected current signal W n A subband signal of (t); w (W) 2n+1 ( t ) For the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer.
In a third aspect, the application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for determining a resonant frequency of a wind power grid-connected system when executing the program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon computer instructions that, when executed, implement the method for determining a resonant frequency of a wind power grid-connected system.
According to the technical scheme, the application provides a method and a device for determining the resonant frequency of a wind power grid-connected system. Wherein the method comprises the following steps: acquiring a grid-connected current signal of a target wind power grid-connected system; dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed; the resonance frequency of the target wind power grid-connected system is determined by carrying out Fourier transform on the sub-frequency bands to be processed, so that the determination of the resonance frequency of the wind power grid-connected system can be realized, the accuracy and the high efficiency can be realized, and the safe and stable operation of a power grid can be further ensured; the method has strong operation adaptability to a large-scale wind power grid-connected system, and is convenient for practical engineering application; the resonant frequency can be effectively determined, and the detection speed and the detection precision are improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining a resonant frequency of a wind power grid-connected system in an embodiment of the application;
FIG. 2 is a schematic diagram of grid-connected current signals containing resonance signals in a large-scale wind grid-connected system according to an example of the present application;
FIG. 3 is a schematic diagram of a comparison of a plurality of sub-band signals divided into grid-tie current signals in one example of the present application;
FIG. 4 is a graph showing the results of Fourier transform analysis of subband signals in one example of the present application;
FIG. 5 is a schematic flow chart of a resonant frequency determining device of a wind power grid-connected system in an embodiment of the application;
fig. 6 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions in the present specification, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In order to solve the problems in the prior art, the method and the device for determining the resonant frequency of the wind power grid-connected system are provided by considering the advantages of multi-level division of the frequency band of wavelet packet transformation (Wavelet Packet Transform, WPT for short) and the characteristic of accurate analysis of the frequency domain of Fourier transformation (Fast Fourier Transform, FFT for short), and are suitable for large-scale wind power grid-connected systems.
In order to achieve the purpose of determining the resonant frequency of the wind power grid-connected system, the method is accurate and efficient, and safe and stable operation of a power grid can be guaranteed. Wherein, intelligent wearing equipment can include intelligent glasses, intelligent wrist-watch and intelligent bracelet etc..
In practical application, the part for determining the resonant frequency of the wind power grid-connected system can be executed on the server side as described above, or all operations can be completed in the client device. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The present application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor.
The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.
Any suitable network protocol may be used for communication between the server and the client device, including those not yet developed at the filing date of this application. The network protocols may include, for example, TCP/IP protocol, UDP/IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol ), REST protocol (Representational State Transfer, representational state transfer protocol), etc. used above the above-described protocol.
The following examples are presented in detail.
In order to achieve the determination of the resonant frequency of the wind power grid-connected system, which is accurate and efficient, and further ensure the safe and stable operation of the power grid, the embodiment provides a method for determining the resonant frequency of the wind power grid-connected system, wherein the execution subject is a device for determining the resonant frequency of the wind power grid-connected system, and the device for determining the resonant frequency of the wind power grid-connected system comprises, but is not limited to, a server, as shown in fig. 1, and the method specifically comprises the following steps:
step 100: and obtaining a grid-connected current signal of the target wind power grid-connected system.
Specifically, the target wind power grid-connected system may be a large-scale wind power grid-connected system.
Step 200: dividing the grid-connected current signal into a plurality of sub-band signals, and determining the sub-band with the largest fluctuation amplitude in each sub-band signal as the sub-band to be processed.
Step 300: and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
In one example, a schematic diagram of a grid-connected current signal containing a resonance signal in a large-scale wind power grid-connected system is shown in fig. 2, and a comparative schematic diagram of a plurality of subband signals divided by the grid-connected current signal is shown in fig. 3. The abscissa in fig. 2 and 3 represents the sampling time, and the ordinate represents the amplitude. The wavelet packet transform is not distributed in order of frequency, the sampling frequency is 6400Hz, and the frequency ranges corresponding to the subband signals in fig. 3 are shown in table 1 below.
TABLE 1
Subband signals Frequency range/Hz Subband signals Frequency range/Hz
X(5,0) [0,100] X(5,4) [700,800]
X(5,1) [100,200] X(5,5) [600,700]
X(5,2) [300,400] X(5,6) [400,500]
X(5,3) [200,300] X(5,7) [500,600]
As can be seen from FIG. 3, the amplitude fluctuation of X (5, 4) is the largest, i.e., the frequency range of the sub-band signal where the resonance signal is located is X (5, 4) which is [700Hz,800Hz ]. FFT analysis is performed on the subband signals X (5, 4), and the analysis result is shown in FIG. 4.
As can be seen from FIG. 4, the resonance frequency is 705.25Hz and the amplitude is 0.81A. Simulation proves that the resonance detection algorithm based on the combination of wavelet packet transformation and Fourier transformation can accurately detect the frequency of resonance current in a large-scale wind power grid-connected system.
As can be seen from the above description, the method for determining the resonant frequency of the wind power grid-connected system provided by the embodiment can effectively determine the resonant frequency, and improve the detection speed and accuracy; the wavelet transformation only divides the low-frequency part, compared with the wavelet transformation, the frequency band is divided in a multi-level manner through the WPT, the frequency band division can be carried out on the low-frequency part and the high-frequency part, the sub-frequency band with the largest amplitude fluctuation, namely the frequency band where the resonance signal is located, is extracted, only the frequency band is needed to be analyzed in the next step, other frequency bands with the unobvious amplitude fluctuation are caused by harmonic signal interference in the system, the influence on the system stability is less than the resonance signal interference, the further analysis is not carried out, and the detection speed can be improved. And then the resonance frequency is obtained by utilizing FFT, so that the detection accuracy can be improved.
To further improve the accuracy of determining the resonant frequency of the wind power grid-connected system, in one embodiment of the present application, step 300 includes:
step 301: determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure BDA0004130209130000061
wherein α is a frequency variable; t is a time variable; i is a constant; w'. n (t) is the sub-band to be processed;
Figure BDA0004130209130000062
as a spectral function, represent W' n Fourier transform of (t); />
Figure BDA0004130209130000063
And the frequency spectrum of the target wind power grid-connected system is obtained.
Step 302: and determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
To further increase the grid-connected current signal dividing speed, in one embodiment of the present application, step 200 includes:
step 210: the grid-tied current signal is divided into a plurality of subband signals by wavelet packet transformation.
To further increase the grid-connected current signal dividing speed, in one embodiment of the present application, step 210 includes:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure BDA0004130209130000071
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); w (W) 2n ( t ) For the grid-connected current signal W n A subband signal of (t); w (W) 2n+1 ( t ) For the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer. n can be understood as the sampling point, W n ( t ) Consisting of parity two parts, i.e. W n (t) is composed of W 2n (t) and W 2n+1 And (t) two parts. h (k) can be preset according to actual needs.
In order to further explain the scheme, the application example of the method for determining the resonant frequency of the wind power grid-connected system is provided, and the method is specifically described as follows:
1) Grid-connected current signal W of large-scale wind power grid-connected system by adopting WPT n (t) analyzing, dividing the signal into different sub-band signals, and extracting sub-band W 'with maximum fluctuation amplitude' n (t)。
Specifically, a grid-connected current signal W for a large-scale wind power grid-connected system n (t) performing wavelet packet analysis to extract the sub-band W 'with the largest fluctuation range' n And (t) carrying out next analysis on the frequency band, and carrying out no analysis on other frequency bands, thereby improving the detection speed.
The wavelet packet decomposition is the decomposition of the wavelet subspace in the multi-resolution analysis. Defining a grid-connected voltage signal function as W n And let W n The two-scale equation is satisfied:
Figure BDA0004130209130000072
where h (k) is a filter coefficient in the multi-resolution analysis, n, k e Z represents an integer.
Extracting the sub-band W 'with the largest fluctuation amplitude' n (t) and performing a further analysis of the frequency band. The frequency band of the resonance signal is the sub-band W' n (t)。
2) Then FFT is used for the sub-band W 'with the largest fluctuation amplitude in the step 2)' n And (t) analyzing to finally obtain the resonance frequency of the large-scale wind power grid-connected system.
Let W' n (t) for the signal to be analyzed, the fourier transform (FFT) calculation formula is as follows:
Figure BDA0004130209130000073
wherein alpha is a frequency variable, t is a time variable,
Figure BDA0004130209130000081
is a spectral function representing W' n The fourier transform of (t),
Figure BDA0004130209130000082
is a spectrum representing the content of each frequency. Thus, the FFT can obtain the frequency components contained in the signal.
In order to achieve the determination of the resonant frequency of the wind power grid-connected system, accurately and efficiently, and further ensure safe and stable operation of the power grid, the application provides an embodiment of a device for determining the resonant frequency of the wind power grid-connected system, which is used for achieving all or part of the content in the method for determining the resonant frequency of the wind power grid-connected system, referring to fig. 5, wherein the device for determining the resonant frequency of the wind power grid-connected system specifically comprises the following contents:
the acquisition module 51 is used for acquiring a grid-connected current signal of the target wind power grid-connected system;
the dividing module 52 is configured to divide the grid-connected current signal into a plurality of subband signals, and determine a subband with the largest fluctuation amplitude in each subband signal as a subband to be processed;
and the determining module 53 is configured to determine a resonant frequency of the target wind power grid-connected system by performing fourier transform on the sub-band to be processed.
In one embodiment of the present application, the determining module includes:
the first determining unit is used for determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure BDA0004130209130000083
wherein α is a frequency variable; t is a time variable; i is a constant; w'. n (t) is the sub-band to be processed;
Figure BDA0004130209130000084
as a spectral function, represent W' n Fourier transform of (t); />
Figure BDA0004130209130000085
The frequency spectrum of the target wind power grid-connected system is obtained;
and the second determining unit is used for determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
In one embodiment of the present application, the dividing module includes:
and the dividing unit is used for dividing the grid-connected current signal into a plurality of sub-band signals through wavelet packet transformation.
In one embodiment of the present application, the dividing unit is specifically configured to:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure BDA0004130209130000086
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); W2n ( t ) For the grid-connected current signal W n A subband signal of (t); W2n+1 ( t ) For the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer.
The embodiment of the resonant frequency determining device of the wind power grid-connected system provided in the present specification may be specifically used to execute the processing flow of the embodiment of the resonant frequency determining method of the wind power grid-connected system, and the functions thereof are not described herein in detail, and may refer to the detailed description of the embodiment of the resonant frequency determining method of the wind power grid-connected system.
In order to achieve the determination of the resonant frequency of the wind power grid-connected system, accurately and efficiently, and further ensure safe and stable operation of the power grid, the application provides an embodiment of electronic equipment for achieving all or part of the contents in the method for determining the resonant frequency of the wind power grid-connected system, wherein the electronic equipment specifically comprises the following contents:
a processor (processor), a memory (memory), a communication interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete communication with each other through the bus; the communication interface is used for realizing information transmission between the resonance frequency determining device of the wind power grid-connected system, the user terminal and other related equipment; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, etc., and the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to an embodiment of the method for implementing the method for determining a resonant frequency of the wind power grid-connected system and an embodiment of the device for implementing the device for determining a resonant frequency of the wind power grid-connected system, and the contents thereof are incorporated herein and are not repeated herein.
Fig. 6 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 6, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 6 is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.
In one or more embodiments of the present application, the resonant frequency determination function of the wind power grid system may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:
step 100: and obtaining a grid-connected current signal of the target wind power grid-connected system.
Step 200: dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
step 300: and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
From the above description, the electronic device provided by the embodiment of the application can determine the resonant frequency of the wind power grid-connected system, is accurate and efficient, and further can ensure safe and stable operation of the power grid.
In another embodiment, the resonant frequency determining device of the wind power grid system may be configured separately from the central processor 9100, for example, the resonant frequency determining device of the wind power grid system may be configured as a chip connected to the central processor 9100, and the resonant frequency determining function of the wind power grid system is implemented by the control of the central processor.
As shown in fig. 6, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 need not include all of the components shown in fig. 6; in addition, the electronic device 9600 may further include components not shown in fig. 6, and reference may be made to the related art.
As shown in fig. 6, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.
The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.
The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.
As can be seen from the above description, the electronic device provided by the embodiment of the present application can determine the resonant frequency of the wind power grid-connected system, which is accurate and efficient, and further can ensure safe and stable operation of the power grid.
The embodiments of the present application further provide a computer readable storage medium capable of implementing all the steps in the method for determining a resonant frequency of a wind power grid-connected system in the above embodiments, where the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the method for determining a resonant frequency of a wind power grid-connected system in the above embodiments, for example, the processor implements the following steps when executing the computer program:
step 100: and obtaining a grid-connected current signal of the target wind power grid-connected system.
Step 200: dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
step 300: and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
As can be seen from the above description, the computer readable storage medium provided by the embodiments of the present application can determine the resonant frequency of the wind power grid-connected system, which is accurate and efficient, and further can ensure safe and stable operation of the power grid.
All embodiments of the method are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred to, and each embodiment mainly describes differences from other embodiments. For relevance, see the description of the method embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present application are described herein with reference to specific examples, the description of which is only for the purpose of aiding in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (10)

1. The method for determining the resonant frequency of the wind power grid-connected system is characterized by comprising the following steps of:
acquiring a grid-connected current signal of a target wind power grid-connected system;
dividing the grid-connected current signal into a plurality of sub-band signals, and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
and determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
2. The method for determining the resonant frequency of the wind power grid-connected system according to claim 1, wherein the determining the resonant frequency of the target wind power grid-connected system by performing fourier transform on the sub-band to be processed comprises:
determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure FDA0004130209120000011
wherein α is a frequency variable; t is a time variable; i is a constant; w'. n (t) is the sub-band to be processed;
Figure FDA0004130209120000012
as a spectral function, represent W' n Fourier transform of (t); />
Figure FDA0004130209120000013
The frequency spectrum of the target wind power grid-connected system is obtained;
and determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
3. The method for determining the resonant frequency of a wind power grid-tie system according to claim 1, wherein dividing the grid-tie current signal into a plurality of subband signals comprises:
the grid-tied current signal is divided into a plurality of subband signals by wavelet packet transformation.
4. A method of determining a resonant frequency of a wind power grid-tie system according to claim 3, wherein said dividing said grid-tie current signal into a plurality of subband signals by wavelet packet transformation comprises:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure FDA0004130209120000014
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); w (W) 2n (t) is the grid-connected current signal W n A subband signal of (t); w (W) 2n+1 (t) is the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer.
5. A resonance frequency determining apparatus of a wind power grid-connected system, comprising:
the acquisition module is used for acquiring a grid-connected current signal of the target wind power grid-connected system;
the dividing module is used for dividing the grid-connected current signal into a plurality of sub-band signals and determining a sub-band with the largest fluctuation amplitude in each sub-band signal as a sub-band to be processed;
and the determining module is used for determining the resonant frequency of the target wind power grid-connected system by carrying out Fourier transform on the sub-frequency bands to be processed.
6. The device for determining a resonant frequency of a wind power grid-tie system according to claim 5, wherein the determining module comprises:
the first determining unit is used for determining the frequency spectrum of the target wind power grid-connected system according to the following Fourier transform formula:
Figure FDA0004130209120000021
wherein α is a frequency variable; t is a time variable; i is a constant; w'. n (t) is the sub-band to be processed;
Figure FDA0004130209120000022
as a spectral function, represent W' n Fourier transform of (t); />
Figure FDA0004130209120000023
The frequency spectrum of the target wind power grid-connected system is obtained;
and the second determining unit is used for determining the resonant frequency of the target wind power grid-connected system according to the frequency spectrum of the target wind power grid-connected system.
7. The device for determining a resonant frequency of a wind power grid-connected system according to claim 5, wherein the dividing module comprises:
and the dividing unit is used for dividing the grid-connected current signal into a plurality of sub-band signals through wavelet packet transformation.
8. The device for determining the resonant frequency of the wind power grid-connected system according to claim 7, wherein the dividing unit is specifically configured to:
dividing the grid-tie current signal into a plurality of subband signals according to the following formula:
Figure FDA0004130209120000024
wherein h (k) is a filter coefficient in the multi-resolution analysis; w (W) n (2 t-k) is a grid-connected current signal of the target wind power grid-connected system at the moment (2 t-k); w (W) 2n (t) is the grid-connected current signal W n A subband signal of (t); w (W) 2n+1 (t) is the grid-connected current signal W n And (c) another sub-band signal of (t), wherein n and k each represent an integer.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method for determining the resonant frequency of a wind power grid-tie system according to any one of claims 1 to 4 when executing the program.
10. A computer readable storage medium having stored thereon computer instructions, which when executed implement the method of determining a resonant frequency of a wind power grid-tie system according to any of claims 1 to 4.
CN202310257722.4A 2023-03-09 2023-03-09 Method and device for determining resonant frequency of wind power grid-connected system Pending CN116316692A (en)

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