CN114362210A - Wind power plant oscillation risk assessment testing method, avoiding method and storage medium - Google Patents
Wind power plant oscillation risk assessment testing method, avoiding method and storage medium Download PDFInfo
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Abstract
The invention discloses a wind power plant oscillation risk assessment test method, an avoidance method and a storage medium, wherein the assessment test method comprises the following steps: collecting an electrical signal at a grid-connected point of a wind power plant; calculating an oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode; injecting disturbance current signals into a preset number of grid-connected points selected based on the oscillation risk index according to the modal frequency; and determining whether the wind power plant has oscillation risk according to the electrical signal at the grid-connected point after the disturbance current signal is injected. According to the wind power plant oscillation risk evaluation testing method provided by the embodiment of the invention, the weak risk grid-connected point is identified based on the oscillation risk index, then the oscillation risk of the wind power plant is judged by directly injecting the disturbance current signal into the physical side, the oscillation risk existing in the wind power plant can be effectively identified, and therefore, effective information is provided for formulating a stable control strategy of the wind power plant.
Description
Technical Field
The invention relates to the technical field of power system broadband oscillation, in particular to a wind power plant oscillation risk assessment testing method, an avoiding method and a storage medium.
Background
According to data published by the national energy bureau, the installed capacity of a power supply is 19087 kilowatts when the year is 2020, wherein the installed capacity of a wind power grid is 7167 kilowatts, the occupation ratio is up to 37.5%, and the wind power accumulation installed machine breaks through 2.8 hundred million kilowatts. However, the power oscillation problem caused by the interaction between the large-scale wind power grid-connected system and the alternating current power grid poses a great threat to the stable operation of the system, and a plurality of related oscillation accidents have occurred at present: such as system power oscillation caused by the action of a double-fed fan and a series compensation capacitor, system power oscillation caused by the action of a direct-drive wind turbine generator and an alternating current power grid, and the like.
When the wind power plant has the risk of broadband oscillation, the probability of attack to the wind power plant is greatly improved. The damage of the wind power plant may cause abnormal fluctuation of regional power supply, and destructive influence is caused on the whole power grid, so that the oscillation risk assessment test for the wind power plant is very necessary. The oscillation risk frequency existing in the system can be effectively identified, and effective information is provided for formulating a stable control strategy of the wind power plant.
Disclosure of Invention
In view of this, embodiments of the present invention provide a wind farm oscillation risk assessment test method, an avoidance method, and a storage medium, so as to solve the technical problem in the prior art that a wind farm oscillation risk assessment is lacked.
The technical scheme provided by the invention is as follows:
the first aspect of the embodiments of the present invention provides a wind farm oscillation risk assessment testing method, including: collecting an electrical signal at a grid-connected point of a wind power plant; calculating an oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode; injecting disturbance current signals into a preset number of grid-connected points selected based on the oscillation risk index according to the modal frequency; and determining whether the wind power plant has oscillation risk according to the electrical signal at the grid-connected point after the disturbance current signal is injected.
Optionally, calculating an oscillation risk indicator of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode includes: performing modal analysis according to the electrical signals to obtain corresponding signal modalities; calculating the frequency and damping ratio of each mode according to the signal modes; screening the damping ratio and the frequency according to a damping ratio threshold value and a preset broadband oscillation key frequency band range to obtain a corresponding mode; and calculating and screening the modal oscillation risk index according to the frequency and the damping ratio.
Optionally, injecting a disturbance current signal into a preset number of grid-connected points selected based on the oscillation risk indicator according to the modal frequency, including: sequencing the corresponding modes according to the oscillation risk indexes; selecting a preset number of modes according to the sorting result; and injecting a disturbance current signal into the grid-connected points corresponding to the preset number of modes according to the frequency of the modes.
Optionally, determining whether the wind farm has an oscillation risk according to an electrical signal at a grid-connected point after the disturbance current signal is injected includes: acquiring an electrical signal of each fan at a grid-connected point after the disturbance current signal is injected; judging whether the corresponding fan is off-line or not according to the relation between the electrical signal and a preset threshold value; and determining whether the wind power plant has oscillation risks or not according to the number of the off-grid fans.
A second aspect of the embodiments of the present invention provides a wind farm oscillation risk avoiding method, including: when the wind power plant oscillation risk assessment test method determines that the wind power plant has oscillation risk, acquiring participation indexes of all wind turbines of the wind power plant during oscillation; determining a leading fan of oscillation according to the participation indexes of all fans; and modifying parameters of a control link corresponding to the leading fan, and repeating the wind power plant oscillation risk assessment test method according to any one of the first aspect and the first aspect of the embodiment of the invention until the wind power plant has no oscillation risk.
Optionally, determining the leading fan of the oscillation according to the participation index of each fan includes: performing singular value decomposition according to an electric signal data matrix of the fan to obtain a transformation matrix; performing singular value decomposition on a low-dimensional matrix obtained by performing dimension reduction processing on the electrical signal data matrix based on the transformation matrix to obtain a decomposition matrix; performing eigenvalue decomposition according to an approximate state matrix obtained by calculating the decomposition matrix and the low-dimensional matrix to obtain eigenvalues and eigenvectors; calculating to obtain participation factors according to the characteristic values and the characteristic vectors; and determining the position of the leading fan according to the participation factor.
Optionally, modifying parameters of the control link corresponding to the leading fan includes: calculating an oscillation frequency according to the characteristic value; and adjusting parameters of a corresponding control link of the leading fan according to the range of the oscillation frequency.
Optionally, adjusting parameters of a control link corresponding to the leading fan according to the range of the oscillation frequency includes: when the oscillation frequency is within the range of 1Hz-50Hz, adjusting PI parameters of a direct current voltage loop of the main air guide fan and a phase-locked loop controller, and increasing the bandwidth of the direct current voltage loop or reducing the bandwidth of the phase-locked loop; and when the oscillation frequency is within the range of 50Hz-2500Hz, regulating PI parameters of a phase-locked loop and a current inner loop controller of the leading fan, and reducing the bandwidth of the phase-locked loop or the bandwidth of the current inner loop.
A third aspect of the embodiments of the present invention provides a computer-readable storage medium, where computer instructions are stored, where the computer instructions are configured to cause a computer to execute the wind farm oscillation risk assessment testing method according to any one of the first aspect and the first aspect of the embodiments of the present invention, and the avoidance method according to any one of the second aspect and the second aspect of the embodiments of the present invention.
A fourth aspect of an embodiment of the present invention provides an electronic device, including: the wind farm oscillation risk assessment test method comprises a memory and a processor, wherein the memory and the processor are mutually connected in a communication mode, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the wind farm oscillation risk assessment test method according to any one of the first aspect and the first aspect of the embodiment of the invention and the avoidance method according to any one of the second aspect and the second aspect of the embodiment of the invention.
The technical scheme provided by the invention has the following effects:
according to the wind power plant oscillation risk assessment testing method provided by the embodiment of the invention, the electric signal at the grid-connected point is acquired, the oscillation risk index is calculated based on the frequency determined by the signal mode of the electric signal, the disturbance current signal is injected into the grid-connected point selected according to the oscillation risk index, and whether the wind power plant has the oscillation risk or not is judged based on the electric signal after the disturbance current signal is injected. Therefore, the evaluation test method identifies the weak risk grid-connected point based on the oscillation risk index, then realizes the judgment of the oscillation risk of the wind power plant in a mode of directly injecting the disturbance current signal into the physical side, can effectively identify the oscillation risk existing in the wind power plant, and thus provides effective information for formulating a stable control strategy of the wind power plant.
According to the wind power plant oscillation risk avoiding method provided by the embodiment of the invention, when the oscillation risk of the wind power plant is determined, the participation index in the wind power plant is obtained, the vibrating leading fan is determined according to the participation index, and the control link parameter of the leading fan is adjusted until the oscillation risk of the wind power plant does not exist. Therefore, the risk avoidance method realizes risk avoidance on the wind power plant with oscillation risk, and avoids possible damage attack on the wind power plant.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a wind farm oscillation risk assessment testing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a wind farm oscillation risk assessment testing method according to another embodiment of the present invention;
FIG. 3 is a flow chart of a wind farm oscillation risk avoidance method according to an embodiment of the invention;
FIG. 4 is a flow chart of a wind farm oscillation risk avoidance method according to another embodiment of the present invention;
FIG. 5 is a flow chart of a wind farm oscillation risk avoidance method according to another embodiment of the present invention;
FIG. 6 is a block diagram of a wind farm oscillation risk assessment testing device according to an embodiment of the invention;
FIG. 7 is a block diagram of a wind farm oscillation risk avoiding device according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a computer-readable storage medium provided in accordance with an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the invention, a wind farm oscillation risk assessment testing method and avoidance method are provided, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
In this embodiment, a wind farm oscillation risk assessment testing method is provided, which may be used for electronic devices such as a computer, a mobile phone, a tablet computer, and the like, fig. 1 is a flowchart of the wind farm oscillation risk assessment testing method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
the embodiment of the invention provides a wind power plant oscillation risk assessment testing method, as shown in FIG. 1, the method comprises the following steps:
step S101: and collecting an electrical signal at a grid-connected point of the wind power plant. The grid-connected point can be a connection point of a wind power plant and a power grid. Specifically, a broadband signal measurement device may be used to collect electrical signals at a grid connection point. In one embodiment, the measurement range of the broadband signal measurement device is 1 Hz-5000 Hz. The collected electrical signal may be a power signal or a current signal. When the collected electric signal is a power signal, the high-pass filtering processing is carried out on the collected signal, and the direct-current component in the signal is filtered out. When the collected electric signal is a current signal, the collected signal is subjected to notch filtering processing, and a power frequency component in the signal is filtered out. Meanwhile, abnormal value processing can be carried out on the collected electrical signals. The abnormal value processing comprises removing abnormal points in the signal and filling the removed abnormal points by adopting the average value of adjacent data.
Step S102: and calculating the oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode. Specifically, after the electrical signal is collected and preprocessed, modal analysis may be performed on the electrical signal to obtain a corresponding signal modal. And then calculating the frequency of each mode according to the calculated signal mode, and calculating a corresponding oscillation risk index based on the frequency.
Step S103: and injecting disturbance current signals into the preset number of grid-connected points selected based on the oscillation risk index according to the modal frequency. Specifically, after the modal oscillation risk index is determined, a preset number of grid-connected points may be selected based on a preset threshold. And then injects a current perturbation signal to the corresponding grid-connected point based on the corresponding frequency. Wherein, a disturbance injection device can be adopted to inject a disturbance current signal into the grid-connected point. The injection of the disturbance current signal may last for a preset time, and the injection may be stopped after the preset time.
Step S104: and determining whether the wind power plant has oscillation risk according to the electrical signal at the grid-connected point after the disturbance current signal is injected. Specifically, after the disturbance current signal is injected, the electrical signal at the grid-connected point of the wind farm is collected, for example, the voltage and current signals at the grid-connected point are collected, and whether the voltage and current are 0 or not is judged, so that whether the wind farm has an oscillation risk or not is determined. The judgment of whether the voltage and the current are 0 is one way of judging whether the oscillation disconnection occurs, and other ways can also be adopted to judge whether the oscillation disconnection occurs.
According to the wind power plant oscillation risk assessment testing method provided by the embodiment of the invention, the electric signal at the grid-connected point is acquired, the oscillation risk index is calculated based on the frequency determined by the signal mode of the electric signal, the disturbance current signal is injected into the grid-connected point selected according to the oscillation risk index, and whether the wind power plant has the oscillation risk or not is judged based on the electric signal after the disturbance current signal is injected. Therefore, the evaluation test method identifies the weak risk grid-connected point based on the oscillation risk index, then realizes the judgment of the oscillation risk of the wind power plant in a mode of directly injecting the disturbance current signal into the physical side, can effectively identify the oscillation risk existing in the wind power plant, and thus provides effective information for formulating a stable control strategy of the wind power plant.
In one embodiment, as shown in fig. 2, calculating the oscillation risk indicator of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode includes the following steps:
step S201: and carrying out modal analysis according to the electrical signals to obtain corresponding signal modes. Specifically, the modal analysis may employ an overall least squares-rotation invariant algorithm (TLS-ESPRIT), and the obtained modal Signal is represented by λi＝αi+jωi(I ═ 1,2, …, I). Wherein λ isiRepresenting the calculated characteristic root, alphaiRepresenting the real part, ωiRepresenting the imaginary part. i represents the number of corresponding electrical signals.
Step S202: and calculating the frequency and the damping ratio of each mode according to the signal modes. Specifically, after the corresponding signal mode is obtained through calculation, the frequency and the damping ratio of each mode of the signal are calculated based on the signal mode.
Wherein, the frequency and the damping ratio are expressed by the following formulas:
wherein f isiRepresenting frequency, xiiIndicating the damping ratio.
Step S203: and screening the damping ratio and the frequency according to a damping ratio threshold value and a preset broadband oscillation key frequency band range to obtain a corresponding mode. Wherein the predetermined wide frequency oscillation critical band range is represented as [ f ]min， fmax]In an embodiment, the preset wideband oscillation critical band range is 2Hz to 2500Hz, and in other embodiments, the range may be set as other ranges according to actual situations, and the specific range is not limited in the embodiment of the present invention. In addition, the damping ratio threshold value can also be determined on the basis of actual conditions.
And screening the calculated damping ratio of the modes according to the damping ratio threshold, selecting the mode with the damping ratio smaller than the damping ratio threshold, judging whether the frequency of the selected mode is within the range of the preset broadband oscillation key frequency band, and screening the corresponding mode when the frequency of the selected mode is within the range of the preset broadband oscillation key frequency band. In an embodiment, when the modes are screened, it may also be determined whether the modes are located within a preset wideband oscillation critical frequency band range, and then the modes are compared with a damping ratio threshold.
Step S204: and calculating and screening the modal oscillation risk index according to the frequency and the damping ratio. For the selected mode, the oscillation risk index is calculated according to the following formula:
wherein k is1，k2Is a constant coefficient.
In an embodiment, injecting a disturbance current signal into a preset number of grid-connected points selected based on the oscillation risk indicator according to a modal frequency includes: sequencing the corresponding modes according to the oscillation risk indexes; selecting a preset number of modes according to the sorting result; and injecting a disturbance current signal into the grid-connected points corresponding to the preset number of modes according to the frequency of the modes.
Specifically, after the oscillation risk indexes of the screened modes are calculated, the corresponding oscillation risk indexes are sorted from large to small according to the size of the oscillation risk indexes, and then the corresponding modes with the corresponding number are selected as the test modes according to a preset oscillation risk index threshold, for example, the number of the selected test modes is S. After the test mode is selected, a preset disturbance injection device is adopted to inject a disturbance current signal with preset time into the grid-connected point corresponding to the selected test mode.
Before injecting a disturbance current signal, judging whether a signal subjected to modal analysis is a power signal or a current signal; if the power signal is the power signal, firstly obtaining the rated frequency of the system, and calculating the injection frequency of the disturbance current signal based on the rated frequency and the frequency of the corresponding mode, wherein the injection frequency is expressed as:
fds＝f0±fs
wherein f is0For the nominal frequency of the system, fsRepresenting the frequency of the corresponding mode.
If the current signal is the disturbance current signal, determining the injection frequency of the disturbance current signal directly based on the frequency of the corresponding mode, namely the injection frequency of the disturbance current signal is fds＝fs. In addition, when the disturbance current signal is injected, the amplitude of the disturbance current signal is 5% -10% of the rated current.
In one embodiment, determining whether the wind power plant has oscillation risk according to an electrical signal at a grid-connected point after injecting a disturbance current signal comprises: acquiring an electrical signal of each fan at a grid-connected point after the disturbance current signal is injected; judging whether the corresponding fan is off-line or not according to the relation between the electrical signal and a preset threshold value; and determining whether the wind power plant has oscillation risks or not according to the number of the off-grid fans.
Specifically, after a disturbance current signal of preset time is injected, an outlet voltage current signal of each fan at a grid-connected point of the wind power plant is collected, whether the voltage current signal is 0 or not is judged, and if the voltage current signal is 0, the corresponding fan is considered to be disconnected. After each fan is judged, counting the total number of all fans which are off-line, and judging whether the total number of the fans exceeds a limit value NlimAnd if the wind power station voltage exceeds the preset value, the wind power station is considered to be in oscillation and off-grid, and oscillation risks exist, wherein N islimCan be 10-20% of the total number of the wind turbines in the wind power plant.
The embodiment of the invention also provides a wind power plant oscillation risk avoiding method, which comprises the following steps of:
step S301: when the wind power plant oscillation risk assessment test method according to any one of the embodiments determines that the wind power plant has an oscillation risk, acquiring participation indexes of each wind turbine of the wind power plant during oscillation. Specifically, after the oscillation risk of the wind power plant is judged, current signals of all wind turbines of the wind power plant during oscillation are collected.
Step S302: and determining the oscillating leading fan according to the participation indexes of the fans. Specifically, after the current parameters of each fan are collected, the oscillating leading fan can be determined through processes such as singular value decomposition according to a data matrix constructed by the current parameters.
Step S303: and modifying parameters of the corresponding control link of the leading fan, and repeating the wind power plant oscillation risk assessment test method in any one of the embodiments until the wind power plant has no oscillation risk. After the wind power plant oscillation risk assessment test method is used, parameters of control links such as a direct current voltage loop, a phase-locked loop, a current inner loop and the like of the leading wind power plant are adjusted, after adjustment, whether an oscillation risk exists is judged again according to the wind power plant oscillation risk assessment test method, and if the oscillation risk exists, the adjustment and judgment processes are continued until the wind power plant does not have the oscillation risk.
According to the wind power plant oscillation risk avoiding method provided by the embodiment of the invention, when the oscillation risk of the wind power plant is determined, the participation index in the wind power plant is obtained, the vibrating leading fan is determined according to the participation index, and the control link parameter of the leading fan is adjusted until the oscillation risk of the wind power plant does not exist. Therefore, the risk avoidance method realizes risk avoidance on the wind power plant with oscillation risk, and avoids possible damage attack on the wind power plant.
In an embodiment, as shown in fig. 4, determining a leading fan of oscillation according to participation indexes of each fan includes the following steps:
step S401: and carrying out singular value decomposition according to the electric signal data matrix of the fan to obtain a transformation matrix. Specifically, the current signals at several moments during oscillation can be collected in real time to construct a data matrix. Wherein t can be selected1To tnConstructing a data matrix X at a time, selecting t2To tn+1Time of day construction data matrix X1. The two data matrices are respectively represented as:
wherein, the matrixes X and X1Has an order of (m × n), W1To WmShowing a plurality of fans.
For the two constructed data matrixes, singular value decomposition is carried out on the data matrix X, and then a right singular vector matrix V obtained by singular value decomposition is stacked or intercepted according to a target dimension reduction multiple p to obtain a transformation matrix C. The singular value decomposition process adopts singular value decomposition in the prior art, and is not described herein again.
Step S402: and performing singular value decomposition according to a low-dimensional matrix obtained by performing dimension reduction processing on the electrical signal data matrix based on the transformation matrix to obtain a decomposition matrix. Specifically, after obtaining the transformation matrix, the data matrix X and the data matrix X are respectively aligned based on the transformation matrix1Dimension reduction processing is carried out to obtain a low-dimensional matrix Y and a low-dimensional matrix Y corresponding to the two data matrixes1. Wherein, the two low-dimensional matrixes are calculated by adopting the following two formulas:
in the formula: y and Y1The order number of the matrix is (m multiplied by a), and a is n/p;
after two low-dimensional matrixes are obtained, singular value decomposition is carried out on the low-dimensional matrix Y to obtain a decomposition matrix Uy、 SyAnd VyThe three decomposition matrices satisfy the equation of Y ═ Uy×Sy×Vy’，VyIs' a VyThe transposing of (1).
Step S403: and decomposing the eigenvalue according to the approximate state matrix obtained by calculating the decomposition matrix and the low-dimensional matrix to obtain an eigenvalue and an eigenvector. Specifically, for the three obtained decomposed matrices, they are combined with the low-dimensional matrix Y1Computing an approximate state matrix for the system, the approximate state matrix being represented as A ═ Uy’× Y1×Vy×Sy(ii) a Then, the characteristic value decomposition is carried out on the approximate state matrix A to obtain the characteristic value lambdayAnd a feature vector Wy。
Step S404: calculating to obtain participation factors according to the characteristic values and the characteristic vectors; specifically, the following components are mixed; the oscillation mode phi of the actual system can be calculated as U by using the calculated eigenvalue and eigenvectory×WyAnd the characteristic value λ ═ λy(ii) a The oscillation mode is then used to calculate the participation factor Pf. The participation factor is calculated by adopting the following formula:
the matrix ψ is an inverse matrix of the system oscillation mode Φ, and k and i respectively represent any two of singular values remaining after singular value decomposition of the data matrix X.
Step S405: and determining the position of the leading fan according to the participation factor. And after calculating the participation factors corresponding to any two k and i based on the formula, determining the position of the dominant fan according to the sizes of the participation factors. Specifically, after a plurality of participation factors are obtained through calculation, the participation factors with magnitude difference in the plurality of participation factors and other participation factors are determined, and then the leading fan is determined according to the fan corresponding to the participation factor.
In an embodiment, as shown in fig. 5, modifying the parameter of the control link corresponding to the master fan includes the following steps:
step S501: and calculating the oscillation frequency according to the characteristic value. Specifically, the eigenvector W is obtained by eigenvalue decomposition of the approximate state matrixyAnd a characteristic value lambdayThen, the oscillation frequency and the damping ratio are calculated using the characteristic values. The oscillation frequency and the damping ratio are calculated by the following formula:
wherein: r is 1,2, …, and R is the number of singular values retained after singular value decomposition of the data matrix X; Δ t is the oscillation data time interval.
Step S502: and adjusting parameters of a corresponding control link of the leading fan according to the range of the oscillation frequency. Specifically, after the oscillation frequency is calculated according to the formula, the parameters of the corresponding control link of the leading fan are adjusted according to the range of the oscillation frequency. In one embodiment, when the oscillation frequency is within a range of 1Hz to 50Hz, adjusting PI parameters of a main blower direct current voltage loop and a phase-locked loop controller, and increasing the bandwidth of the direct current voltage loop or reducing the bandwidth of the phase-locked loop; and when the oscillation frequency is within the range of 50Hz-2500Hz, regulating PI parameters of a phase-locked loop and a current inner loop controller of the leading fan, and reducing the bandwidth of the phase-locked loop or the bandwidth of the current inner loop.
The embodiment of the present invention further provides a wind farm oscillation risk assessment testing device, as shown in fig. 6, the device includes:
the signal acquisition module is used for acquiring electrical signals at a grid-connected point of the wind power plant; for details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
The index calculation module is used for calculating the oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode; for details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
The disturbance injection module is used for injecting disturbance current signals to a preset number of grid-connected points selected based on the oscillation risk index according to the modal frequency; for details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
And the risk judgment module is used for determining whether the wind power plant has an oscillation risk according to the electric signal at the grid-connected point after the disturbance current signal is injected. For details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
According to the wind power plant oscillation risk assessment testing device provided by the embodiment of the invention, the electric signal at the grid-connected point is acquired, the oscillation risk index is calculated based on the frequency determined by the signal mode of the electric signal, the disturbance current signal is injected into the grid-connected point selected according to the oscillation risk index, and whether the wind power plant has the oscillation risk or not is judged based on the electric signal after the disturbance current signal is injected. Therefore, the evaluation testing device identifies the weak risk grid-connected point based on the oscillation risk index, then realizes the judgment of the oscillation risk of the wind power plant in a mode of directly injecting the disturbance current signal into the physical side, can effectively identify the oscillation risk existing in the wind power plant, and provides effective information for formulating a stable control strategy of the wind power plant.
The functional description of the wind farm oscillation risk assessment testing device provided by the embodiment of the invention refers to the wind farm oscillation risk assessment testing method in the above embodiment in detail.
An embodiment of the present invention further provides a wind farm oscillation risk avoiding device, as shown in fig. 7, the device includes:
the oscillation parameter acquisition module is used for acquiring participation indexes of all fans of the wind power plant during oscillation when the wind power plant is determined to have oscillation risks according to the wind power plant oscillation risk assessment testing method in any one of the embodiments; for details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
The leading fan determining module is used for determining the oscillating leading fan according to the participation indexes of all fans; for details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
And the adjusting module is used for modifying parameters of the corresponding control link of the leading fan and repeating the wind power plant oscillation risk assessment testing method in any one of the embodiments until the wind power plant has no oscillation risk. For details, reference is made to the corresponding parts of the above method embodiments, which are not described herein again.
According to the wind power plant oscillation risk avoiding device provided by the embodiment of the invention, when the oscillation risk of the wind power plant is determined, the participation index in the wind power plant is obtained, the vibrating leading fan is determined according to the participation index, and the control link parameter of the leading fan is adjusted until the oscillation risk of the wind power plant does not exist. Therefore, the risk avoiding device realizes risk avoidance on the wind power plant with oscillation risk, and avoids possible damage attack on the wind power plant.
The function description of the wind power plant oscillation risk avoiding device provided by the embodiment of the invention refers to the wind power plant oscillation risk avoiding method description in the embodiment in detail.
An embodiment of the present invention further provides a storage medium, as shown in fig. 8, on which a computer program 601 is stored, where the instructions, when executed by a processor, implement the steps of the wind farm oscillation risk assessment testing method and the avoiding method in the foregoing embodiments. The storage medium is also stored with audio and video stream data, characteristic frame data, an interactive request signaling, encrypted data, preset data size and the like. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
An embodiment of the present invention further provides an electronic device, as shown in fig. 9, the electronic device may include a processor 51 and a memory 52, where the processor 51 and the memory 52 may be connected by a bus or in another manner, and fig. 9 takes the connection by the bus as an example.
The processor 51 may be a Central Processing Unit (CPU). The Processor 51 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 52, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as the corresponding program instructions/modules in the embodiments of the present invention. The processor 51 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 52, that is, implements the wind farm oscillation risk assessment testing method and avoidance method in the above method embodiments.
The memory 52 may include a storage program area and a storage data area, wherein the storage program area may store an operating device, an application program required for at least one function; the storage data area may store data created by the processor 51, and the like. Further, the memory 52 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 52 may optionally include memory located remotely from the processor 51, and these remote memories may be connected to the processor 51 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 52 and, when executed by the processor 51, perform a wind farm oscillation risk assessment testing method and avoidance method as in the embodiments of fig. 1-5.
The details of the electronic device may be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to fig. 5, which are not described herein again.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A wind power plant oscillation risk assessment testing method is characterized by comprising the following steps:
collecting an electrical signal at a grid-connected point of a wind power plant;
calculating an oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode;
injecting disturbance current signals into a preset number of grid-connected points selected based on the oscillation risk index according to the modal frequency;
and determining whether the wind power plant has oscillation risk according to the electrical signal at the grid-connected point after the disturbance current signal is injected.
2. The wind farm oscillation risk assessment test method according to claim 1, wherein calculating the oscillation risk index of each mode according to the signal mode corresponding to each electrical signal and the frequency of the mode comprises:
performing modal analysis according to the electrical signals to obtain corresponding signal modalities;
calculating the frequency and damping ratio of each mode according to the signal modes;
screening the damping ratio and the frequency according to a damping ratio threshold value and a preset broadband oscillation key frequency band range to obtain a corresponding mode;
and calculating and screening the modal oscillation risk index according to the frequency and the damping ratio.
3. The wind farm oscillation risk assessment test method according to claim 1, wherein injecting disturbance current signals to a preset number of grid-connected points selected based on the oscillation risk index according to a modal frequency comprises:
sequencing the corresponding modes according to the oscillation risk indexes;
selecting a preset number of modes according to the sorting result;
and injecting a disturbance current signal into the grid-connected points corresponding to the preset number of modes according to the frequency of the modes.
4. The wind farm oscillation risk assessment test method according to claim 1, wherein determining whether the wind farm has an oscillation risk according to an electrical signal at a grid-connected point after injecting a disturbance current signal comprises:
acquiring an electrical signal of each fan at a grid-connected point after the disturbance current signal is injected;
judging whether the corresponding fan is off-line or not according to the relation between the electrical signal and a preset threshold value;
and determining whether the wind power plant has oscillation risks or not according to the number of the off-grid fans.
5. A wind power plant oscillation risk avoiding method is characterized by comprising the following steps:
when the wind farm oscillation risk assessment test method according to any one of claims 1-4 determines that the wind farm has an oscillation risk, acquiring participation indexes of each fan of the wind farm during oscillation;
determining a leading fan of oscillation according to the participation indexes of all fans;
modifying parameters of a control link corresponding to the leading wind turbine, and repeating the wind farm oscillation risk assessment testing method according to any one of claims 1 to 4 until no oscillation risk exists in the wind farm.
6. The wind farm oscillation risk avoiding method according to claim 5, wherein determining the leading oscillating fan according to the participation indexes of the fans comprises:
performing singular value decomposition according to an electric signal data matrix of the fan to obtain a transformation matrix;
performing singular value decomposition on a low-dimensional matrix obtained by performing dimension reduction processing on the electrical signal data matrix based on the transformation matrix to obtain a decomposition matrix;
performing eigenvalue decomposition according to an approximate state matrix obtained by calculating the decomposition matrix and the low-dimensional matrix to obtain eigenvalues and eigenvectors;
calculating to obtain participation factors according to the characteristic values and the characteristic vectors;
and determining the position of the leading fan according to the participation factor.
7. The wind farm oscillation risk avoiding method according to claim 6, wherein modifying parameters of the corresponding control link of the leading wind turbine comprises:
calculating an oscillation frequency according to the characteristic value;
and adjusting parameters of a corresponding control link of the leading fan according to the range of the oscillation frequency.
8. The wind farm oscillation risk avoiding method according to claim 7, wherein the adjusting of the parameters of the corresponding control link of the leading wind turbine according to the range of the oscillation frequency comprises:
when the oscillation frequency is within the range of 1Hz-50Hz, adjusting PI parameters of a direct current voltage loop of the main air guide fan and a phase-locked loop controller, and increasing the bandwidth of the direct current voltage loop or reducing the bandwidth of the phase-locked loop;
and when the oscillation frequency is within the range of 50Hz-2500Hz, regulating PI parameters of a phase-locked loop and a current inner loop controller of the leading fan, and reducing the bandwidth of the phase-locked loop or the bandwidth of the current inner loop.
9. A computer-readable storage medium, characterized in that it stores computer instructions for causing the computer to execute the wind farm oscillation risk assessment test method according to any one of claims 1 to 4 and the wind farm oscillation risk avoiding method according to any one of claims 5 to 8.
10. An electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the wind farm oscillation risk assessment testing method according to any one of claims 1 to 4 and the wind farm oscillation risk avoiding method according to any one of claims 5 to 8.
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