CN117996779A - Frequency modulation control method, device and equipment of wind turbine generator and storage medium - Google Patents
Frequency modulation control method, device and equipment of wind turbine generator and storage medium Download PDFInfo
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Classifications
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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
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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Abstract
The invention discloses a frequency modulation control method, a device, equipment and a storage medium of a wind turbine, which comprise the steps of obtaining real-time operation data of the wind turbine; detecting the running state of the wind turbine, and performing frequency modulation on the wind turbine; before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed; adjusting a set value of the active power of the wind turbine generator system converter according to the evaluation result; and controlling the wind turbine to run at a set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when the synchronous generator participates in primary frequency modulation. According to the frequency modulation control method of the wind turbine generator, the feasible regions of the primary frequency modulation and inertia support parameters are evaluated before the primary frequency modulation and inertia support are participated, so that the rotating speed safety of each fan is ensured, the power is not out of limit, and stable and reliable frequency modulation control is realized.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a frequency modulation control method, a frequency modulation control device, frequency modulation control equipment and a frequency modulation control storage medium for a wind turbine generator.
Background
Most wind turbine generators are connected in a grid through a power electronic inverter device, the rotating speed and the system frequency of the wind turbine generators are in a decoupling state, natural inertia is not possessed, the large-scale access to a power grid to replace a thermal power generating unit can lead to system inertia reduction, and quick and effective response to system frequency change cannot be timely made. The electric power system network source coordination technical guideline published in 2021 clearly indicates that a new energy station needs to participate in primary frequency modulation and a region with higher grid-connected power generation proportion needs to provide necessary inertia support.
The wind turbine generator can perform frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation, the wind power plant is used as a grid-connected main body, the sagging characteristic and the inertia supporting characteristic of a conventional power station are required to be integrally simulated during primary frequency modulation, and the grid-connected guide rule is met. By adopting an output adjusting method of the power electronic converter, the kinetic energy stored in the fan blade can be used for primary frequency modulation and inertial support by adjusting the active power set value of the converter. However, the control method can cause the change of the rotating speed of the fans to influence the safe operation, so that the power of the fans needs to be reasonably distributed to ensure the safe operation of each fan. Therefore, how to ensure the rotation speed safety of each fan and the power not to exceed the limit and realize the stable and reliable frequency modulation control becomes a technical problem to be solved urgently by the technicians in the field.
Disclosure of Invention
The invention provides a frequency modulation control method, a device, equipment and a storage medium of a wind turbine, which are used for evaluating the feasible regions of primary frequency modulation and inertia support parameters before participating in primary frequency modulation and inertia support, so that the rotating speed safety of each fan is ensured, the power is not out of limit, and stable and reliable frequency modulation control is realized.
In order to solve the technical problems, an embodiment of the present invention provides a frequency modulation control method for a wind turbine generator, including:
acquiring real-time operation data of a wind turbine generator;
Detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to the detection result; and
Before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
According to the evaluation result of the feasible region, adjusting the set value of the active power of the wind turbine generator converter;
And controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation.
As one preferable scheme, the real-time operation data at least comprises wind speed data.
As one preferable scheme, detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to a detection result, specifically including:
If the wind speed data are detected to be in the first preset range, judging that the wind turbine is in a low wind speed mode, and performing frequency modulation on the wind turbine in the low wind speed mode;
If the wind speed data are detected to be in the second preset range, judging that the wind turbine is in a medium wind speed mode, and performing frequency modulation on the wind turbine in the medium wind speed mode;
If the wind speed data are detected to be in the third preset range, judging that the wind turbine is in a high wind speed mode, and carrying out frequency modulation on the wind turbine in the high wind speed mode.
As one preferable scheme, the method for evaluating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine unit according to the linear function relation among the final rotating speed of the wind turbine unit, the maximum power adjustment quantity of the wind turbine unit, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed comprises the following specific steps:
Based on operation data participating in primary frequency modulation and inertia supporting processes of the wind turbine in a historical database, obtaining a linear function relation among a final rotating speed of the wind turbine, a maximum power adjustment quantity of the wind turbine, a primary frequency modulation coefficient, an inertia supporting coefficient and wind speed through data driving training;
And according to the linear function relation, evaluating the feasible region of the primary frequency modulation and inertia support coefficient of the wind turbine on line.
Another embodiment of the present invention provides a frequency modulation control device for a wind turbine, including a processor configured to:
acquiring real-time operation data of a wind turbine generator;
Detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to the detection result; and
Before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
According to the evaluation result of the feasible region, adjusting the set value of the active power of the wind turbine generator converter;
And controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation.
As one preferable scheme, the real-time operation data at least comprises wind speed data.
As one preferable aspect, the processor is further configured to:
If the wind speed data are detected to be in the first preset range, judging that the wind turbine is in a low wind speed mode, and performing frequency modulation on the wind turbine in the low wind speed mode;
If the wind speed data are detected to be in the second preset range, judging that the wind turbine is in a medium wind speed mode, and performing frequency modulation on the wind turbine in the medium wind speed mode;
If the wind speed data are detected to be in the third preset range, judging that the wind turbine is in a high wind speed mode, and carrying out frequency modulation on the wind turbine in the high wind speed mode.
As one preferable aspect, the processor is further configured to:
Based on operation data participating in primary frequency modulation and inertia supporting processes of the wind turbine in a historical database, obtaining a linear function relation among a final rotating speed of the wind turbine, a maximum power adjustment quantity of the wind turbine, a primary frequency modulation coefficient, an inertia supporting coefficient and wind speed through data driving training;
And according to the linear function relation, evaluating the feasible region of the primary frequency modulation and inertia support coefficient of the wind turbine on line.
Still another embodiment of the present invention provides a frequency modulation control apparatus for a wind turbine, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement a frequency modulation control method for a wind turbine as described above.
Still another embodiment of the present invention provides a computer readable storage medium, where a computer program is stored in the computer readable storage medium, where when the computer program is executed by a device where the computer readable storage medium is located, a frequency modulation control method of a wind turbine generator set as described above is implemented.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
(1) Before participating in primary frequency modulation and inertia support, the feasible regions of primary frequency modulation and inertia support parameters are firstly required to be evaluated, so that the rotating speed safety of each fan is ensured, the power is not out of limit, and stable and reliable frequency modulation control is realized;
(2) The correlation between the primary frequency modulation coefficient and the inertial support coefficient of the wind power plant is considered, the feasible regions of the two coefficients are evaluated at the same time, a data-driven linear model is adopted, the solving speed is high, the calculation load is reduced, and compared with the traditional mechanism model, the method is suitable for an online application scene;
(3) The linear model required by evaluation is constructed by utilizing the historical operation data of the wind power plant, so that the problem that the evaluation accuracy of the traditional model analysis method is influenced by the completeness of the model and the parameter setting accuracy is avoided, and the feasible domain evaluation of primary frequency modulation and inertia support coefficients independent of the model is realized;
(4) The characteristics of the data driving and mechanism models are combined, the acquisition difficulty of training data is reduced, the constructed linear model is formed by simplifying the expression of the physical model, and the reliability of the evaluation result can be ensured without covering the limit operation scene by the training set.
Drawings
FIG. 1 is a flow chart of a method for controlling frequency modulation of a wind turbine in one embodiment of the present invention;
FIG. 2 is a block diagram of a frequency modulation control device for a wind turbine in one embodiment of the present invention;
Reference numerals:
21. A processor; 22. a memory.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention, and the purpose of these embodiments is to provide a more thorough and complete disclosure of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present application, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third", etc. may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and the like are used herein for descriptive purposes only and not to indicate or imply that the apparatus or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
In the description of the present application, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless defined otherwise. The terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application, as the particular meaning of the terms described above in the present application will be understood to those of ordinary skill in the art in the detailed description of the application.
The first embodiment of the invention provides a frequency modulation control method of a wind turbine, and it is required to explain in advance that in order to ensure that the rotation speed of each fan is safe and the power is not out of limit, before participating in primary frequency modulation and inertia support, the invention needs to evaluate the feasible region of primary frequency modulation and inertia support parameters, calculate own limit parameters for reporting, and then execute adjustment according to the instruction fed back by a power grid.
However, due to the fact that the number of fans in the wind power plant is large, dynamic characteristics are complex, the primary frequency modulation and inertia support coefficient evaluation model is a high-dimensional nonlinear differential algebraic equation set, and accurate analysis and solving are difficult. In different wind speed states, the simulation calculation method needs to be carried out again to determine the frequency modulation capability, so that the required time is long, the time domain analysis method is seriously dependent on model parameters, and once the model is incomplete or has poor precision, the calculation result cannot be ensured.
According to the method, the problem that the evaluation accuracy is difficult to guarantee in the process of analyzing the dynamic frequency modulation of the wind power plant by the traditional model method is considered, and the problem of complex process is solved, so that the method is the advantage of a data driving algorithm. According to the Koopman data driving theory, a nonlinear dynamic model can be converted into a global approximate linear model through up-scaling transformation, so that the method has stronger mathematical theory support, and an original complex evaluation model can be converted into a linear model for evaluation by using a data driving method. In summary, the embodiment of the invention provides a method for evaluating the feasible region of the primary frequency modulation and inertia support coefficient of a wind farm, which utilizes a data driving least square method to construct a linear model, and utilizes wind speed data measured on line to realize the feasible region evaluation of the high-precision coefficient independent of model parameters, and is described in detail below.
Specifically, referring to fig. 1, fig. 1 is a schematic flow chart of a frequency modulation control method of a wind turbine generator according to one embodiment of the present invention, which includes steps S1 to S5, specifically as follows:
s1, acquiring real-time operation data of a wind turbine generator;
S2, detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to a detection result; and
S3, before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
s4, adjusting a set value of the active power of the wind turbine generator converter according to the evaluation result of the feasible region;
s5, controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when the synchronous generator participates in primary frequency modulation.
Further, in the above embodiment, considering that the frequency modulation capability of the wind turbine generator is different in different wind speed states, the present embodiment determines which wind speed mode, the middle wind speed mode or the high wind speed mode the wind turbine generator is in by detecting wind speed data, and then executes the corresponding frequency modulation mode. Of course, in this embodiment, the wind speed data is in a low wind speed mode when in the first preset range, the wind speed data is in a medium wind speed mode when in the second preset range, and the wind speed data is in a high wind speed mode when in the third preset range, where the first preset range, the second preset range and the third preset range need to be set according to actual and future requirements, which is not specifically limited in the embodiment of the present invention and is not repeated here.
Before participating in primary frequency modulation and inertia support, the embodiment of the invention firstly evaluates the feasible region of primary frequency modulation and inertia support parameters, and the evaluation process of the feasible region is specifically as follows:
Step 1, a wind farm utilizes operation data participating in a primary frequency modulation and inertia supporting process in a historical database, and obtains a linear function relation among a final rotating speed omega final of a fan, a maximum power adjustment quantity delta P e of the fan, a primary frequency modulation coefficient K f, an inertia supporting coefficient K in and a wind speed v w in the primary frequency modulation and inertia supporting process through data driving training, wherein the step is only executed for 1 time, and the specific execution flow is as follows:
Step 1-1, acquiring each data of the wind power plant participating in primary frequency modulation and inertia support through a historical database of the wind power plant, wherein each data record is used as a data sample, and the ith sample comprises: the final rotating speed omega final,i of the fan, the maximum power adjustment quantity delta P e,i of the fan, the primary frequency modulation coefficient K f,i, the inertia support coefficient K in,i and the wind speed v w,i. The total number of data samples finally recorded is N, the value of N is not less than 1000 groups, and the aim of the step is to obtain data which are enough for least square training.
Step 1-2, establishing N input samples and N output samples from the data sample classification, wherein the input samples and the output samples are from direct classification of the data records, that is, for a group of data samples with the same time section in the historical database, K f,i,Kin,i and v w,i are input data, ω final,i and Δp e,i are output data, wherein the output data are directly existed in the historical database and are not required to be converted from the input data, and the step aims to construct a mathematical function model of primary frequency modulation of the wind farm, wherein the i-th input sample is defined as:
The ith output sample is defined as:
Step 1-3, carrying out dimension lifting on an input sample to obtain an input sample after dimension lifting, wherein the step aims to express a nonlinear mathematical function model in a low-dimension space as a linear mathematical function model in a high-dimension space according to a mathematical theory reflecting a natural law of a Koopman operator theory, and carrying out dimension lifting operation on the input sample to construct a linear model, wherein the input sample after dimension lifting of the input sample is defined as:
Wherein the j-th dimension in ψ (X i) is defined as:
Wherein c j represents the basis vector of the same dimension as X i, and the values thereof are completely random.
Step 1-4, respectively arranging the output sample and the input sample after dimension increase in sequence to obtain an output sample set and an input sample set after dimension increase, wherein the output sample set is defined as:
The input sample set after dimension up is defined as:
step 1-5, driving training through least squares data, constructing a linear function relation among a final rotating speed omega final of a fan, a maximum power adjustment quantity delta P e of the fan, a primary frequency modulation coefficient K f, an inertia support coefficient K in and a wind speed v w, and constructing a training formula as follows:
Wherein, Representative/>Matrix transpose of/>Representative/>Is pseudo-inverse of the matrix of (a).
The linear function relationship obtained by construction is as follows:
Step 2, evaluating the primary frequency modulation and inertia support coefficient feasible region of the wind power plant on line according to the linear function relation among the final rotating speed omega final of the wind power plant, the maximum power adjustment quantity delta P e of the wind power plant, the primary frequency modulation coefficient K f, the inertia support coefficient K in and the wind speed v w, wherein the steps are circularly executed, and the specific execution flow is as follows:
And 2-1, measuring the real-time wind speed v w,real of the wind power plant at the moment, and taking the real-time wind speed v w,real as a linear model input variable.
And 2-2, setting a lower limit omega final,min of a final rotating speed of the fan and an upper limit delta P e,max of a maximum power adjustment quantity of the fan allowed in the primary frequency modulation and inertia supporting process of the wind power plant as linear model output variables.
Step 2-3, setting an iteration step t=0, and setting initial values of primary frequency modulation and inertia support coefficients of the wind power plant in an online evaluation process, wherein the initial values of primary frequency modulation coefficients K f (0) =0 and the initial values of inertia support coefficients K in (0) =0 of the wind power plant.
Step 2-4, solving the following equation by using a dichotomy to obtain an iteratively updated feasible boundary K in (t+1) of the inertia support coefficient:
Where M 2 is row 2 in matrix M.
Step 2-5, solving the following equation by using a dichotomy to obtain an iteratively updated primary frequency modulation coefficient feasible boundary K f (t+1):
Where M 1 is row 1 in matrix M.
Step 2-6, judging whether the inertia support coefficient feasible boundary K in (t+1) and the primary frequency modulation coefficient feasible boundary K f (t+1) meet the following convergence conditions:
Here, δ 1 and δ 2 are set convergence conditions, and can take a value of 10 －4.
If the conditions are met, outputting an inertia support coefficient feasible boundary K in (t+1) and a primary frequency modulation coefficient feasible boundary K f (t+1), ending the evaluation, and turning to the step 2-1 to restart the next evaluation;
If the above condition is not satisfied, the iteration step t=t+1 is shifted to step 2-4 to continue the iteration.
A second embodiment of the present invention provides a frequency modulation control device for a wind turbine, including a processor configured to:
acquiring real-time operation data of a wind turbine generator;
Detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to the detection result; and
Before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
According to the evaluation result of the feasible region, adjusting the set value of the active power of the wind turbine generator converter;
And controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation.
As one preferable scheme, the real-time operation data at least comprises wind speed data.
As one preferable aspect, the processor is further configured to:
If the wind speed data are detected to be in the first preset range, judging that the wind turbine is in a low wind speed mode, and performing frequency modulation on the wind turbine in the low wind speed mode;
If the wind speed data are detected to be in the second preset range, judging that the wind turbine is in a medium wind speed mode, and performing frequency modulation on the wind turbine in the medium wind speed mode;
If the wind speed data are detected to be in the third preset range, judging that the wind turbine is in a high wind speed mode, and carrying out frequency modulation on the wind turbine in the high wind speed mode.
As one preferable aspect, the processor is further configured to:
Based on operation data participating in primary frequency modulation and inertia supporting processes of the wind turbine in a historical database, obtaining a linear function relation among a final rotating speed of the wind turbine, a maximum power adjustment quantity of the wind turbine, a primary frequency modulation coefficient, an inertia supporting coefficient and wind speed through data driving training;
And according to the linear function relation, evaluating the feasible region of the primary frequency modulation and inertia support coefficient of the wind turbine on line.
Referring to fig. 2, which is a block diagram of a frequency modulation control device of a wind turbine according to an embodiment of the present invention, the frequency modulation control device of a wind turbine according to an embodiment of the present invention includes a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21, where the processor 21 implements steps in an embodiment of a frequency modulation control method of a wind turbine as described above, for example, steps S1 to S5 described in fig. 1 when executing the computer program; or the processor 21 performs the functions of the frequency modulation control device of the wind turbine generator set, for example, the functions of the processor when executing the computer program.
Illustratively, the computer program may be split into one or more modules that are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program in a frequency modulation control device of the wind turbine.
The frequency modulation control device of the wind turbine generator set may include, but is not limited to, a processor 21 and a memory 22. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a frequency modulation control device of a wind turbine, and does not constitute a limitation of the frequency modulation control device of a wind turbine, and may include more or less components than those illustrated, or may combine certain components, or different components, e.g., the frequency modulation control device of a wind turbine may further include an input/output device, a network access device, a bus, etc.
The Processor 21 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor 21 is a control center of the frequency modulation control device of the wind turbine, and connects various parts of the frequency modulation control device of the whole wind turbine by using various interfaces and lines.
The memory 22 may be used to store the computer program and/or module, and the processor 21 may implement various functions of the frequency modulation control device of the wind turbine by running or executing the computer program and/or module stored in the memory 22 and invoking data stored in the memory 22. The memory 22 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The module integrated by the frequency modulation control device of the wind turbine generator can be stored in a computer readable storage medium if the module is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps 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 (Random Access Memory, RAM), or the like.
Accordingly, an embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where when the computer program runs, the device where the computer readable storage medium is controlled to execute steps in a frequency modulation control method of a wind turbine generator set according to the foregoing embodiment, for example, steps S1 to S5 described in fig. 1.
The frequency modulation control method, the device, the equipment and the storage medium for the wind turbine generator provided by the embodiment of the invention have the beneficial effects that at least one point of the following is:
(1) Before participating in primary frequency modulation and inertia support, the feasible regions of primary frequency modulation and inertia support parameters are firstly required to be evaluated, so that the rotating speed safety of each fan is ensured, the power is not out of limit, and stable and reliable frequency modulation control is realized;
(2) The correlation between the primary frequency modulation coefficient and the inertial support coefficient of the wind power plant is considered, the feasible regions of the two coefficients are evaluated at the same time, a data-driven linear model is adopted, the solving speed is high, the calculation load is reduced, and compared with the traditional mechanism model, the method is suitable for an online application scene;
(3) The linear model required by evaluation is constructed by utilizing the historical operation data of the wind power plant, so that the problem that the evaluation accuracy of the traditional model analysis method is influenced by the completeness of the model and the parameter setting accuracy is avoided, and the feasible domain evaluation of primary frequency modulation and inertia support coefficients independent of the model is realized;
(4) The characteristics of the data driving and mechanism models are combined, the acquisition difficulty of training data is reduced, the constructed linear model is formed by simplifying the expression of the physical model, and the reliability of the evaluation result can be ensured without covering the limit operation scene by the training set.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. The frequency modulation control method of the wind turbine generator is characterized by comprising the following steps of:
acquiring real-time operation data of a wind turbine generator;
Detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to the detection result; and
Before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
According to the evaluation result of the feasible region, adjusting the set value of the active power of the wind turbine generator converter;
And controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation.
2. The method for controlling frequency modulation of a wind turbine according to claim 1, wherein the real-time operation data includes at least wind speed data.
3. The method for controlling frequency modulation of a wind turbine according to claim 2, wherein the detecting the running state of the wind turbine according to the real-time running data, and the frequency modulation of the wind turbine according to the detection result, specifically comprises:
If the wind speed data are detected to be in the first preset range, judging that the wind turbine is in a low wind speed mode, and performing frequency modulation on the wind turbine in the low wind speed mode;
If the wind speed data are detected to be in the second preset range, judging that the wind turbine is in a medium wind speed mode, and performing frequency modulation on the wind turbine in the medium wind speed mode;
If the wind speed data are detected to be in the third preset range, judging that the wind turbine is in a high wind speed mode, and carrying out frequency modulation on the wind turbine in the high wind speed mode.
4. The method for controlling frequency modulation of a wind turbine according to claim 1, wherein the estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relationship among the final rotation speed of the wind turbine, the maximum power adjustment amount of the wind turbine, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed comprises:
Based on operation data participating in primary frequency modulation and inertia supporting processes of the wind turbine in a historical database, obtaining a linear function relation among a final rotating speed of the wind turbine, a maximum power adjustment quantity of the wind turbine, a primary frequency modulation coefficient, an inertia supporting coefficient and wind speed through data driving training;
And according to the linear function relation, evaluating the feasible region of the primary frequency modulation and inertia support coefficient of the wind turbine on line.
5. A frequency modulation control device for a wind turbine, comprising a processor configured to:
acquiring real-time operation data of a wind turbine generator;
Detecting the running state of the wind turbine according to the real-time running data, and performing frequency modulation on the wind turbine according to the detection result; and
Before participating in primary frequency modulation, estimating the feasible region of the primary frequency modulation and the inertia support coefficient of the wind turbine according to the linear function relation among the final rotating speed of the fan, the maximum power adjustment quantity of the fan, the primary frequency modulation coefficient, the inertia support coefficient and the wind speed;
According to the evaluation result of the feasible region, adjusting the set value of the active power of the wind turbine generator converter;
And controlling the wind turbine to run at the set value, and performing frequency modulation by simulating the sagging characteristic and the inertia characteristic of the synchronous generator when participating in primary frequency modulation.
6. The fm control device for a wind turbine of claim 5, wherein said real-time operational data includes at least wind speed data.
7. The frequency modulation control device of a wind turbine of claim 6, wherein the processor is further configured to:
If the wind speed data are detected to be in the first preset range, judging that the wind turbine is in a low wind speed mode, and performing frequency modulation on the wind turbine in the low wind speed mode;
If the wind speed data are detected to be in the second preset range, judging that the wind turbine is in a medium wind speed mode, and performing frequency modulation on the wind turbine in the medium wind speed mode;
If the wind speed data are detected to be in the third preset range, judging that the wind turbine is in a high wind speed mode, and carrying out frequency modulation on the wind turbine in the high wind speed mode.
8. The frequency modulation control device of a wind turbine of claim 5, wherein the processor is further configured to:
Based on operation data participating in primary frequency modulation and inertia supporting processes of the wind turbine in a historical database, obtaining a linear function relation among a final rotating speed of the wind turbine, a maximum power adjustment quantity of the wind turbine, a primary frequency modulation coefficient, an inertia supporting coefficient and wind speed through data driving training;
And according to the linear function relation, evaluating the feasible region of the primary frequency modulation and inertia support coefficient of the wind turbine on line.
9. A frequency modulation control device for a wind turbine, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing a frequency modulation control method for a wind turbine according to any one of claims 1 to 4 when executing the computer program.
10. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed by a device where the computer readable storage medium is located, the frequency modulation control method of the wind turbine generator set according to any one of claims 1 to 4 is implemented.
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