CN111431193A - Wind turbine generator set wide-frequency-band additional damping control method - Google Patents
Wind turbine generator set wide-frequency-band additional damping control method Download PDFInfo
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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
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- 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 wind turbine generator wide-frequency-band additional damping control method, according to a fan rotating speed difference, oscillation mode decomposition is carried out through Chebyshev filters of different frequency bands, and oscillation components of the frequency bands are obtained; carrying out self-adaptive variational modal decomposition on the oscillation components of each frequency band respectively to extract oscillation modal signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band; performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band; integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator; the damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
Description
Technical Field
The application relates to the field of control of power systems, in particular to a wind turbine generator wide-frequency-band additional damping control method.
Background
The traditional oscillation suppression research of the power grid is mature, related devices and measures, such as damping control measures of a unit additionally provided with a power system stabilizer, are widely applied to the power grid and obtain obvious effects, and various oscillation modes are generated along with gradual increase of the permeability of new energy in the power grid.
When the oscillation of the traditional power grid occurs, a new energy unit also generates a corresponding oscillation problem, and the interaction of a large number of power electronic devices also causes a new oscillation problem, and the damping control research of the wind turbine generator mainly aims at a certain oscillation problem, and specific inhibition methods are multiple, and the damping control is realized to achieve a positive damping effect by aiming at a damping control method for inhibiting low-frequency oscillation; aiming at the control method for inhibiting the subsynchronous oscillation, the effect of increasing the positive damping of the system is achieved by adding a damping controller in a converter of the fan.
However, as the permeability of new energy in a power grid gradually increases, the current situation is that a high-permeability new energy system has multiple oscillation modes, the existing damping control measures show a positive damping effect in a certain oscillation mode, but may show a negative damping effect in other oscillation modes, the traditional damping measures for a certain type of oscillation cannot meet the requirement of stable operation of the current power grid, and the damping function has obvious limitations.
Disclosure of Invention
The application provides a wind turbine generator wide-band additional damping control method, according to the difference of fan rotating speed, the oscillation mode decomposition is carried out through Chebyshev filters of different frequency bands, oscillation components of each frequency band are obtained, the output integration of a multi-band additional damping controller is obtained through calculation, finally, the control quantity is superposed to a current inner ring controlled by the wind turbine generator, and the suppression of different oscillation modes is realized through one damping control measure.
In order to achieve the above purpose, the embodiments of the present application adopt the following technical solutions:
the method for controlling the additional damping of the wide frequency band of the wind turbine generator is provided, and comprises the following steps:
carrying out oscillation mode decomposition through Chebyshev filters of different frequency bands according to the fan rotation speed difference to obtain oscillation components of each frequency band;
respectively carrying out Adaptive Variable Mode Decomposition (AVMD) on the oscillation components of each frequency band to extract oscillation mode signals of each frequency band;
carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band;
performing Optimization calculation by using a Quantum Particle Swarm (QPSO) algorithm based on an advance-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band;
designing a multi-band additional damping controller according to the optimized control parameters of the damping control of each frequency band;
and integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator to realize the suppression of different oscillation modes.
Optionally, the chebyshev filters in different frequency bands include a low-frequency band chebyshev filter, a sub-synchronous frequency band chebyshev filter, and a super-synchronous frequency band chebyshev filter.
Optionally, the oscillation component of each frequency band is a low-frequency oscillation component, a sub-synchronous oscillation component, or a super-synchronous oscillation component.
Optionally, the AVMD is based on windowed fourier transform: and determining the decomposition modal number of a variation modal decomposition algorithm according to the window Fourier transform frequency spectrum distribution, and acquiring the oscillation modal signals of each frequency band by using AVMD.
Optionally, the AVMD is performed on the oscillation components of each frequency band to extract oscillation mode signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band;
the AVMD and the Prony algorithm are used in a mutual matching mode, and accurate oscillation mode parameters of each frequency band are ensured to be extracted.
Optionally, the damping controllers of different frequency bands, which are independent of each other, are designed based on the lead-lag correction model.
Optionally, the quantum particle swarm algorithm is used for performing optimization calculation to obtain a global optimal solution.
Optionally, the AVMD is a non-recursive algorithm, and the oscillation mode signal with fixed frequency components is obtained by constructing and solving a constraint variation model.
Optionally, the Prony algorithm is a method for fitting a linear combination of a set of exponential terms to equidistant sampling data, and analyzing information such as amplitude, phase, damping factor, frequency and the like of a signal.
Optionally, the quantum particle swarm algorithm cancels the attribute of the moving direction of the particle, the update of the particle position has no relation with the previous motion, and the randomness of the particle position is increased.
The embodiment of the application provides a wind turbine generator wide-frequency-band additional damping control method, which comprises the steps of carrying out oscillation mode decomposition through Chebyshev filters of different frequency bands according to the difference of fan rotating speed to obtain oscillation components of the frequency bands; carrying out self-adaptive variational modal decomposition on the oscillation components of each frequency band respectively to extract oscillation modal signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band; performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band; integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator; the damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
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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 used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a wide-band additional damping control method for a wind turbine generator system according to the present application;
FIG. 2 is a schematic diagram of a multi-band damping controller designed according to the wind turbine generator wide-band additional damping control method of the present application;
FIG. 3 is a control structure diagram of a wind turbine generator broadband additional damping control method according to the present application;
wherein: 1-difference of fan rotation speed; 2-a multi-band additional damping controller; 3-a variable flow inner ring controlled by the wind turbine generator; 4-an active outer ring controlled by the wind turbine generator; and 5, controlling a reactive outer ring by the wind turbine generator.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those 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.
The present application is described in further detail below with reference to the attached drawing figures:
the embodiment of the application provides a wind turbine generator broadband additional damping control method, which is used in the field of power system control, and with reference to fig. 1, the wind turbine generator broadband additional damping control method comprises the following steps:
Specifically, the chebyshev filters of different frequency bands may include a low frequency band chebyshev filter, a sub-synchronous frequency band chebyshev filter, and a super-synchronous frequency band chebyshev filter. And the obtained oscillation components of each frequency band are low-frequency oscillation components, subsynchronous oscillation components and super-synchronous oscillation components.
The classification of different frequency bands in the application is not limited to the above classification mode, and the application can classify different frequency bands according to actual situation requirements.
In the step, the Chebyshev filter is used for separating oscillation modes of different frequency bands, so that the accuracy of oscillation separation of different frequency bands is ensured.
And 102, performing AVMD on the oscillation components of each frequency band respectively to extract oscillation mode signals of each frequency band.
Specifically, the AVMD is based on windowed fourier transform: and determining the decomposition modal number of a variation modal decomposition algorithm according to the window Fourier transform frequency spectrum distribution, and acquiring the oscillation modal signals of each frequency band by using AVMD.
The AVMD is a non-recursive algorithm, and an oscillation mode signal with fixed frequency components is obtained by constructing and solving a constraint variation model.
103, respectively carrying out Prony algorithm on the oscillation mode signals of each frequency band to extract oscillation mode parameters of each frequency band.
The Prony algorithm is a method for fitting a group of exponential terms to equidistant sampling data, and information such as amplitude, phase, damping factor, frequency and the like of a signal are analyzed.
Specifically, the execution of the AVMD and the Prony algorithm in step 102 and step 103 are used in cooperation with each other, so as to ensure that the accurate oscillation mode parameters of each frequency band are extracted.
104, performing optimization calculation by utilizing a quantum particle group algorithm based on a lead-lag correction model according to the oscillation mode parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band;
specifically, based on the lead-lag correction model, damping controllers of different frequency bands which are independent from each other are designed, and optimal calculation is performed by using a QPSO algorithm to obtain a global optimal solution. The QPSO algorithm cancels the moving direction attribute of the particles, the update of the positions of the particles has no relation with the previous movement, and the randomness of the positions of the particles is increased.
105, designing a multi-band additional damping controller according to the optimized control parameters of the damping control of each frequency band;
and 106, integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator to realize the suppression of different oscillation modes.
The damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
Referring to fig. 2, a schematic diagram of a multi-band damping controller designed by the method for controlling the additional damping of the wide band of the wind turbine generator is provided, which includes the following specific steps:
according to the difference delta omega of the rotating speed of the fanmCarrying out oscillation mode decomposition through Chebyshev filters of different frequency bands to obtain oscillation components of each frequency band; the filter is divided into a Chebyshev filter 1 and a Chebyshev filter 2 … … according to actual needs.
The Chebyshev filter is used for separating the oscillation modes of different frequency bands, so that the accuracy of the oscillation separation of different frequency bands is ensured.
AVMD is carried out on the oscillation components of each frequency band respectively to extract oscillation mode signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band; the execution of the AVMD and the Prony algorithm is used in a mutual matching mode, and accurate oscillation mode parameters of each frequency band are ensured to be extracted.
Performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band;
the method is a frequency response-based correction method, wherein a controlled system is corrected based on a lead-lag correction model, and the frequency domain characteristics of the system, such as phase angle margin, amplitude margin, sensitivity and the like, are improved, so that the stability and the control precision of the system are improved:
in the formula, set Twi＝5
In the formula, set Ti2＝Ti4＝0.05,i∈[1,n]∩ Z, based on the oscillation mode parameters of each frequency band, respectively carrying out optimization calculation by utilizing a QPSO algorithm, and setting the target function:
J＝min{ξi,j,j＝1,2,…,k}
formula (III) ξi,jThe damping ratio of the ith electromechanical oscillation mode in the jth operation mode after damping is added. Obtained by the eigenvalues of the closed-loop system state matrix.
Optimizing an objective function of
And obtaining an optimized design result of damping control related parameters under each frequency band.
And designing the multi-band additional damping controller according to the optimization result.
And integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator to realize the suppression of different oscillation modes.
The damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
Referring to fig. 3, according to the difference Δ ω between the fan rotation speedsm1, integrating the output of the multi-band additional damping controller 2, and finally superposing the final control quantity to a current inner ring 3 controlled by the wind turbine generator.
The wind turbine generator control active outer ring 4 and the wind turbine generator control reactive outer ring 5 are respectively connected to the wind turbine generator control current inner ring 3.
Wherein the wind turbine generator set controls the input rotating speed omega in the active outer ring 4rConnecting a power access point and accessing a PI controller to integrate and access the output quantity into a PI controller in a current inner ring 3 controlled by the wind turbine generator, integrating the output quantity of the PI controller with the output of the multi-band additional damping controller 2, and finally overlapping the control quantity to windAnd a current inner ring 3 controlled by the motor group.
And a PI controller is connected into the reactive outer ring 5 controlled by the wind turbine generator, the output quantity is integrated and connected into the PI controller in the current inner ring 3 controlled by the wind turbine generator, the output quantity is integrated with the output of the multi-band additional damping controller 2, and finally the control quantity is superposed to the current inner ring 3 controlled by the wind turbine generator.
The multi-band additional damping controller 2 decomposes the oscillation mode through Chebyshev filters of different frequency bands according to the rotating speed difference of the fan to obtain oscillation components of each frequency band; carrying out self-adaptive variational modal decomposition on the oscillation components of each frequency band respectively to extract oscillation modal signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band; performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band; the multi-band additional damping controller 2 is designed.
The damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
The embodiment of the application provides a wind turbine generator wide-frequency-band additional damping control method, which comprises the steps of carrying out oscillation mode decomposition through Chebyshev filters of different frequency bands according to the difference of fan rotating speed to obtain oscillation components of the frequency bands; carrying out self-adaptive variational modal decomposition on the oscillation components of each frequency band respectively to extract oscillation modal signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band; performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band; integrating the output of the damping controllers of each frequency band, and superposing the final control quantity to a current inner ring controlled by the wind turbine generator; the damping controllers are respectively designed, so that independence of damping functions of different types is ensured, and cross influence of damping suppression of different types is reduced.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for operation of various portions of the present application may be written in any one or more programming languages, including AN object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBO L2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like.
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Claims (10)
1. A wind turbine generator system wide-band additional damping control method is characterized by comprising the following steps:
carrying out oscillation mode decomposition through Chebyshev filters of different frequency bands according to the fan rotation speed difference to obtain oscillation components of each frequency band;
carrying out self-adaptive variational modal decomposition on the oscillation components of each frequency band respectively to extract oscillation modal signals of each frequency band;
carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band;
performing optimization calculation by using a quantum particle group algorithm based on a lead-lag correction model according to the oscillation modal parameters of each frequency band to obtain optimized control parameters of damping control of each frequency band;
designing a multi-band additional damping controller according to the optimized control parameters of the damping control of each frequency band;
and integrating the output of the multi-band additional damping controller, and finally superposing the control quantity to a current inner ring controlled by the wind turbine generator to realize the suppression of different oscillation modes.
2. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, wherein the Chebyshev filters of different frequency bands comprise a low-frequency band Chebyshev filter, a subsynchronous frequency band Chebyshev filter and a hypersynchronous frequency band Chebyshev filter.
3. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, wherein the oscillation components of each frequency band are low-frequency oscillation components, subsynchronous oscillation components and supersynchronous oscillation components.
4. The wind turbine generator system broadband additional damping control method according to claim 1, wherein the adaptive variational modal decomposition is based on a window Fourier transform:
and determining the decomposition modal number of a variation modal decomposition algorithm according to the window Fourier transform frequency spectrum distribution, and then obtaining the oscillation modal signals of each frequency band by utilizing self-adaptive variation modal decomposition.
5. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, wherein the oscillation components of each frequency band are respectively subjected to adaptive variational modal decomposition to extract oscillation modal signals of each frequency band; carrying out Prony algorithm on the oscillation modal signals of each frequency band respectively to extract oscillation modal parameters of each frequency band;
the self-adaptive variational modal decomposition and the Prony algorithm are used in a mutually matched mode, and accurate oscillation modal parameters of each frequency band are ensured to be extracted.
6. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, wherein the additional damping controllers of different frequency bands which are independent of each other are designed based on a lead-lag correction model to form a multi-band additional damping controller.
7. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, characterized in that the quantum particle swarm algorithm is used for performing optimization calculation to obtain a global optimal solution.
8. The method for controlling the additional damping of the wide frequency band of the wind turbine generator set according to claim 1, wherein the adaptive variational modal decomposition is a non-recursive algorithm, and an oscillation modal signal with fixed frequency components is obtained by constructing and solving a constraint variational model.
9. The method as claimed in claim 1, wherein the Prony algorithm is a method for fitting a linear combination of a set of exponential terms to equidistant sampling data, and analyzing information such as amplitude, phase, damping factor, frequency and the like of signals.
10. The wind turbine generator broadband additional damping control method according to claim 1, wherein the quantum particle swarm algorithm cancels the moving direction attribute of particles, the update of the positions of the particles is unrelated to the previous movement, and the randomness of the positions of the particles is increased.
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Cited By (3)
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| CN113158785A (en) * | 2021-03-11 | 2021-07-23 | 复旦大学 | Method for identifying modal parameters of oscillation signals |
| CN113258592A (en) * | 2021-06-25 | 2021-08-13 | 广东电网有限责任公司 | Additional damping suppression system and method for sub-synchronous and super-synchronous oscillation of offshore wind power |
| WO2023061448A1 (en) * | 2021-10-13 | 2023-04-20 | 南京南瑞继保电气有限公司 | Method and apparatus for suppressing broadband oscillation of converter, and electronic device and storage medium |
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