CN114301088A - Inertia control method, device, equipment and medium of wind turbine generator and wind turbine generator - Google Patents
Inertia control method, device, equipment and medium of wind turbine generator and wind turbine generator Download PDFInfo
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Abstract
The embodiment of the invention provides an inertia control method, an inertia control device, inertia control equipment, inertia control media and a wind turbine generator, wherein the method comprises the following steps: acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model; generating a torque control command based on the power of the wind turbine, the control parameter, and the grid frequency; and controlling the rotating speed of the wind turbine generator through the torque control instruction. The invention is used for solving the defect of frequency drop caused by the fact that the wind turbine generator set supplies electric energy to the power system in the prior art.
Description
Technical Field
The invention relates to the technical field of wind power, in particular to an inertia control method, device, equipment and medium of a wind turbine generator and the wind turbine generator.
Background
With the increasing proportion of wind power in a power supply structure, the influence of the wind power on the safe and stable operation of a power system is increasingly remarkable. The contradiction between wind power development and system safe operation in partial areas gradually appears, and the phenomenon of wind abandon continuously appears. Therefore, it is a trend of wind power development to make the wind turbine generator set provide the power system with the frequency conforming to the power system. Wherein the response of the wind turbine to the frequency of the power system comprises an inertia response.
In the prior art, for the inertia response of a wind turbine generator, the additional active power of disturbance under frequency is obtained by releasing the energy of the wind turbine generator in advance. After the inertia response additional active power is recovered, an uncertain rotating speed reduction is formed, and the risk of frequency secondary falling exists, so that the wind turbine generator provides the frequency which is not in line with the power system.
Disclosure of Invention
The embodiment of the invention provides an inertia control method, an inertia control device, inertia control equipment, an inertia control medium and a wind turbine generator, which are used for solving the defect of frequency drop caused by the fact that the wind turbine generator supplies electric energy to an electric power system in the prior art, and the wind turbine generator supplies the electric power system with frequency conforming to the electric power system according to any working condition.
The embodiment of the invention provides an inertia control method of a wind turbine generator, which comprises the following steps:
acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment;
inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model;
when the inertia response is determined to be triggered, generating an inertia trigger mark;
inputting the inertia trigger mark, the power of the wind turbine and the working condition data into a parameter prediction model to obtain a control parameter output by the parameter prediction model, wherein the parameter prediction model is obtained by training a working condition data sample, an inertia trigger mark sample, a power sample and a control parameter sample of the wind turbine;
generating a torque control command based on the power of the wind turbine, the control parameter, and the grid frequency;
and controlling the rotating speed of the wind turbine generator through the torque control instruction.
According to an inertia control method of a wind turbine generator, when determining to trigger an inertia response, generating an inertia trigger mark includes:
determining a grid frequency change rate based on the grid frequency;
and when the power grid frequency change rate is larger than a first preset value, determining to trigger the inertia response, and generating the inertia trigger mark.
According to the inertia control method of the wind turbine generator, the control parameters comprise: inertia additional active power, active power change rate, duration, torque change speed and inertia recovery active power;
the working condition data comprises: the rotating speed of the motor;
the step of inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain the control parameters output by the parameter prediction model comprises the following steps:
inputting the inertia trigger, the power of the wind turbine and the operating condition data into a parameter prediction model; and obtaining the inertia additional active power and the active power change rate through the parameter prediction model based on the inertia trigger identifier, and obtaining the duration, the torque change speed and the inertia recovery active power based on the power of the wind turbine and the motor rotating speed.
According to the inertia control method of the wind turbine generator, the obtaining of the inertia additional active power and the active power change rate based on the inertia trigger mark comprises the following steps:
acquiring actual active power at the previous moment based on the inertia trigger mark;
obtaining actual duration and actual inertia additional active power based on the inertia trigger mark and the actual active power;
when the actual duration is less than a preset duration and the actual inertia additional active power is greater than a preset inertia additional active power, obtaining the inertia additional active power and the active power change rate;
the preset duration is determined based on a network access standard of a power grid, and the preset inertia additional active power is determined based on the network access standard of the power grid.
According to an embodiment of the present invention, the method for controlling inertia of a wind turbine generator, wherein obtaining the duration, the torque change speed, and the inertia recovery active power based on the power of the wind turbine and the motor speed includes:
when the difference between the power of the wind turbine and the power difference before and after the preset inertia response is smaller than a second preset value, obtaining the duration;
and obtaining the torque change speed and the inertia recovery active power based on the duration and the motor rotating speed.
According to an embodiment of the present invention, the method for controlling inertia of a wind turbine, wherein generating a torque control command based on power of the wind turbine, the control parameter, and the grid frequency comprises:
when the inertia response is determined to be triggered, acquiring the active power of a wind turbine corresponding to the power of the wind turbine at the current moment;
adding the inertia additional active power to the active power of the wind turbine based on the active power change rate to obtain a target power;
when the inertia response is triggered to reach the duration, restoring the target power to the inertia restoring active power;
after the target power is restored to the inertia restoring active power, generating the torque control instruction based on the torque change speed;
the torque control instruction is used for indicating that the torque of the wind turbine generator at the current moment is changed into a preset torque based on the torque change speed, and the preset torque is obtained through the power of the wind turbine generator and the rotating speed of the wind turbine generator.
The embodiment of the present invention further provides an inertia control apparatus for a wind turbine, including:
the acquisition module is used for acquiring working condition data and power grid frequency corresponding to the wind turbine at the current moment;
the first prediction module is used for inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model;
the first generation module is used for generating an inertia trigger mark when determining the trigger inertia response;
the second prediction module is used for inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model, and the parameter prediction model is obtained by training working condition data samples, inertia trigger identifier samples, power samples of the wind turbine and control parameter samples;
a second generation module for generating a torque control command based on the power of the wind turbine, the control parameter and the grid frequency;
and the control module is used for controlling the rotating speed of the wind turbine generator through the torque control instruction.
The embodiment of the invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor executes the program to realize the steps of the inertia control method of the wind turbine generator set.
The embodiment of the invention also provides a wind turbine generator, which comprises a wind turbine generator body and a control assembly, wherein the control assembly is used for executing the steps of the inertia control method of the wind turbine generator.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the inertia control method for a wind turbine generator set according to any one of the above embodiments.
According to the inertia control method, the inertia control device, the inertia control equipment, the inertia control medium and the wind turbine generator, working condition data and power grid frequency corresponding to the wind turbine generator at the current moment are acquired; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; the inertia trigger identifier, the power of the wind turbine and the working condition data are input into the parameter prediction model to obtain the control parameters output by the parameter prediction model, so that the control parameters matched with the current wind turbine power and the current working condition data can be obtained when inertia response occurs; further, generating a torque control command based on the power of the wind turbine, the control parameters and the grid frequency; according to the invention, when the inertia response occurs, the torque control instruction matched with the power, the control parameters and the power grid frequency of the wind turbine is generated to control the rotating speed of the wind turbine, so that the problems of reduction of the rotating speed and frequency drop of the wind turbine are avoided, and the frequency conforming to the power system can be provided for the power system aiming at any working condition.
Drawings
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 introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is one of schematic flow diagrams of an inertia control method for a wind turbine generator according to an embodiment of the present invention;
fig. 2 is a second schematic flowchart of an inertia control method for a wind turbine generator according to an embodiment of the present invention;
fig. 3 is a third schematic flowchart of an inertia control method for a wind turbine generator according to an embodiment of the present invention;
fig. 4 is a fourth schematic flowchart of an inertia control method for a wind turbine generator according to an embodiment of the present invention;
fig. 5 is a fifth flowchart illustrating an inertia control method of a wind turbine generator according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an inertia control device of a wind turbine generator according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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 inertia control method of the wind turbine generator according to the embodiment of the present invention is described below with reference to fig. 1 to 5.
The embodiment of the invention provides an inertia control method of a wind turbine generator, which can be applied to an intelligent terminal, such as a mobile phone, a computer, a tablet and the like, can also be applied to a server, can also be applied to the wind turbine generator, and can also be applied to a controller of the wind turbine generator. The method is described below by using the server as an example, but the method is only described by way of example and is not intended to limit the scope of the present invention. The other descriptions in the embodiments of the present invention are also for illustration purposes, and are not intended to limit the scope of the present invention. The specific implementation of the method is shown in fig. 1:
The wind turbine generator is a power generation device which converts wind energy into electric energy. It converts wind energy into mechanical energy by a wind turbine, conducts the mechanical energy from the wind turbine to a generator by a transmission, and the generator converts the mechanical energy into electrical energy which is then delivered to an electrical power system. The grid frequency is the power corresponding to the power system specified in the wind power grid-in standard of the power system, and further, the grid frequency change rate is determined.
Wherein, the grid frequency is represented by f, and the grid frequency change rate is represented by frateAnd (4) showing.
And 102, inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model.
Specifically, an energy prediction model is built based on wind turbine parameters of the wind turbine, wherein the wind turbine parameters comprise: radius of wind wheel RtAir density ρ, gearbox ratio Z, etc.
Wherein, the operating mode data includes: wind speed v, motor speed omegarAnd a pitch angle beta. The working condition data can be obtained through a sensor installed in the wind turbine generator.
Wherein the power of the wind turbine is Pm。
In one embodiment, the energy prediction model includes a first predetermined formula, a second predetermined formula, and a third predetermined formula. The concrete implementation of inputting the working condition data into the energy prediction model and obtaining the power of the wind turbine through the energy prediction model is as follows:
inputting the rotating speed of the motor into a first preset formula of an energy prediction model to obtain the rotating speed of the wind turbine generator; inputting the rotating speed, the pitch angle and the wind speed of the wind turbine generator into a second preset formula of the energy prediction model to obtain a wind energy utilization coefficient; and inputting the wind energy utilization coefficient and the wind speed into a third preset formula of the energy prediction model to obtain the power of the wind turbine.
Specifically, the first preset formula is shown in formula (1):
wherein, ω istRepresenting the rotor speed of the wind turbine, i.e. the rotational speed of the wind turbine.
Specifically, the second predetermined formula is shown in formula (2):
Cpλ β, wherein,
wherein λ represents the tip speed ratio, CpRepresenting the wind energy utilization factor.
Specifically, the third predetermined formula is shown in formula (3):
wherein S represents the swept wind area of the wind wheel.
In a specific embodiment, an energy prediction model can be obtained by training the corresponding relation between the working condition sample data and the power sample of the wind turbine, the energy prediction model is trained by a large amount of working condition sample data and the power sample of the wind turbine to obtain a final energy prediction model, and the power of the wind turbine corresponding to the working condition data is predicted by the final energy prediction model, so that the efficiency and the accuracy of determining the power of the wind turbine are effectively improved.
And 103, generating an inertia trigger mark when the inertia response is determined to be triggered.
In one embodiment, a grid frequency change rate is determined based on a grid frequency; when the change rate of the power grid frequency is larger than a first preset value, determining to trigger inertia response, and generating an inertia trigger mark.
According to the invention, when the inertia response is determined to be triggered, the inertia trigger mark is generated in time, so that the timeliness, timeliness and accuracy of the subsequent generation of the torque control instruction are ensured.
And 104, inputting the inertia trigger identifier, the power and working condition data of the wind turbine into the parameter prediction model to obtain control parameters output by the parameter prediction model.
The parameter prediction model is obtained by training a working condition data sample, an inertia trigger mark sample, a power sample of the wind turbine and a control parameter sample.
In one embodiment, the control parameters include: inertia additional active power, active power change rate, duration, torque change speed and inertia recovery active power; the working condition data comprises: the motor speed. The specific implementation of the control parameters is obtained by a parameter prediction model as follows:
inputting inertia trigger marks, power and working condition data of the wind turbine into a parameter prediction model; and obtaining inertia additional active power and active power change rate through a parameter prediction model based on an inertia trigger identifier, and obtaining duration, torque change speed and inertia recovery active power based on the power of the wind turbine and the rotating speed of the motor.
In a specific embodiment, the actual active power at the previous moment is obtained based on the inertia trigger mark, and the actual duration and the actual inertia additional active power are obtained based on the inertia trigger mark and the actual active power; when the actual duration is less than the preset duration and the actual inertia additional active power is greater than the preset inertia additional active power, obtaining inertia additional active power and an active power change rate;
the preset duration is determined based on the network access standard of the power grid, and the preset inertia additional active power is determined based on the network access standard of the power grid.
Specifically, the parametric prediction model includes: the dynamic index observation module and the iteration optimization module. Inputting the inertia trigger identifier and the actual active power into a dynamic index observation module, obtaining the actual duration and the actual inertia additional active power through the dynamic index observation module, inputting the actual duration and the actual inertia additional active power into an iteration optimization module, and outputting the inertia additional active power and the active power change rate based on the preset duration and the preset inertia additional active power by the iteration optimization module.
Specifically, because the grid frequency of each power system is fixed, for each power system, the preset duration and the preset inertia added active power are fixed values, and the model directly utilizes the preset duration and the preset inertia added active power when training or using. Of course, when the parameter prediction model is applied each time, the preset duration and the preset inertia additional active power can be input into the parameter prediction model to obtain the inertia additional active power and the active power change rate. Specifically, as shown in fig. 2, fig. 2 illustrates a second mode as an example.
Wherein, in FIG. 2, IflagRepresenting inertia trigger, P representing the actual active power at the previous moment, tsRepresenting the actual duration, PiRepresenting the actual inertia added active power, tmaxRepresenting a preset duration, PminRepresenting a predetermined inertia added active power, RPRepresenting the rate of change of active power, Pi *Representing the inertia added active power.
Specifically, when the actual duration is less than the preset duration and the actual inertia additional active power is greater than the preset inertia additional active power, the inertia additional active power and the active power change rate are obtained. The preset duration is determined based on the operation period of the power grid frequency change rate and the communication delay duration of the wind turbine generator and the power system.
Specifically, for the inertia additional active power and the active power change rate parameter, the training process of the parameter prediction model includes:
when the inertia response is determined to occur, recording a response result generated by the inertia response, wherein the response result comprises: actual active power; when the inertia response occurs again, calculating the actual duration and the actual inertia additional active power based on the inertia response identification and the response result generated by the last inertia response; when the actual duration and the actual inertia additional active power meet the target requirements, the training of the parameter prediction model is judged to be finished; and when the actual duration and the actual inertia additional active power do not meet the target requirement, continuing to carry out iterative training. Wherein the target requirements include: the actual duration is less than the preset duration, and the actual inertia additional active power is greater than the preset inertia additional active power.
In one embodiment, the duration is obtained when the difference between the power of the wind turbine and the power difference before and after the preset inertia response is less than a second preset value; and obtaining the torque change speed and the inertia recovery active power based on the duration and the motor rotating speed.
Specifically, the parameter prediction module further comprises: and a real-time optimization module. And inputting the power of the wind turbine and the rotating speed of the motor into a real-time optimization module, and outputting the duration, the torque change speed and the inertia to restore the active power based on the power of the wind turbine, the rotating speed of the motor and the power difference before and after the preset inertia response.
Specifically, because the grid frequency of each power system is fixed, for each power system, the power difference before and after the preset inertia response is a fixed value, and the model can directly use the power difference before and after the preset inertia response when training or using. Of course, when the parameter prediction model is applied every time, the power difference before and after the preset inertia response is input into the parameter prediction model, and the duration, the torque change speed and the inertia recovery active power can be obtained. Specifically, as shown in fig. 3, fig. 3 illustrates a second mode as an example.
Wherein, in FIG. 3, PmRepresenting the power of the wind turbine, omegarRepresenting the motor speed, deltaP representing the power difference before and after the preset inertia response, tdIndicates duration, TrIndicating the speed of change of torque, PrRepresenting inertia recovery active power.
Specifically, in the process of recovering the active power based on the power of the wind turbine, the rotating speed of the motor and the power difference before and after the preset inertia response, the active power curve of the wind turbine needs to be considered, and is specifically shown in fig. 4.
Specifically, in the real-time optimization process of the parameter prediction model, inertia response is triggered at different motor rotating speeds, the caused actual active power deviates from the theoretical active power in different degrees, the actual active power is roughly divided into three regions, namely a low rotating speed region (I), a high rotating speed region (II) and a constant rotating speed region (III), and in different regions, because the rising slopes of active power curves are different, when the motor rotating speeds have the same change, the difference of the change quantity of the theoretical active power is larger. Thus, in different regions, different optimization parameters are used.
Specifically, in the real-time optimization process of the parameter prediction model, the real-time power of the wind turbine and the motor rotating speed are mainly analyzed, when the power of the wind turbine is close to a power difference before and after a preset inertia response, the duration is timely adjusted within a certain range, the inertia recovery active power and the torque change speed are determined within a certain range by combining the motor rotating speed, and therefore the duration, the torque change speed and the inertia recovery active power output by the parameter prediction model can provide an effective data base for the frequency which accords with the power system.
According to the invention, the parameter prediction model is trained in advance through a large amount of sample data, and then the control parameters are determined through the trained parameter prediction model, so that the determination efficiency and accuracy of the control parameters are effectively improved.
In one embodiment, the specific implementation of generating the torque control command is as follows: when the triggering inertia response is determined, acquiring the active power of the wind turbine corresponding to the power of the wind turbine at the current moment; adding the inertia additional active power to the active power of the wind turbine based on the active power change rate to obtain target power; when the trigger inertia response reaches the duration, restoring the target power to the inertia restoring active power; after the target power is restored to the inertia and the active power is restored, generating a torque control instruction based on the torque change speed; the torque control instruction is used for indicating that the torque of the wind turbine generator at the current moment is changed into a preset torque based on the torque change speed, and the preset torque is obtained through the power of the wind turbine generator and the rotating speed of the wind turbine generator.
According to the invention, the torque control instruction is generated, and the torque of the wind turbine generator at the current moment is changed into the preset torque, so that the risk of secondary frequency drop after the inertia response additional active power is recovered is prevented, and the wind turbine generator provides the frequency conforming to the power system.
And step 106, controlling the rotating speed of the wind turbine generator through a torque control command.
Specifically, the torque of the wind turbine generator is controlled to reach the preset torque through the torque control command, which is equivalent to controlling the rotating speed of the wind turbine generator, so that the wind turbine generator provides the frequency which accords with the power system for the power system.
In the following, a method for controlling inertia of a wind turbine generator is specifically described by fig. 5, wherein in the description process of fig. 5, data, a model, execution steps and the like applied by the method are illustrated by a block diagram. Fig. 5 does not specifically limit the implementation of the method, but only to clearly illustrate the whole process of the method.
Specifically, the grid variables include: grid frequency and grid frequency rate of change; the inertia response indexes include: the method comprises the steps of presetting duration, presetting inertia additional active power and presetting a power difference before and after inertia response.
The energy prediction model obtains the power of the wind turbine based on the working condition data, and sends the power of the wind turbine to the inertia response execution module and the parameter prediction model;
the inertia response execution module is used for determining whether inertia response occurs or not based on the power grid variable, generating an inertia response identifier when the inertia response occurs, and sending the inertia response identifier to the parameter prediction model;
when the parameter prediction module obtains the inertia response identification, a control parameter is obtained based on the working condition data, the power of the wind turbine and the inertia response index, and the control parameter is sent to the inertia response execution module;
the inertia response execution module is also used for generating a torque control instruction based on the power of the wind turbine, the power grid variable and the control parameter, and sending the torque control instruction to the instruction output module;
and the instruction output module is used for outputting a torque control instruction so as to control the rotating speed of the wind turbine generator.
According to the inertia control method of the wind turbine generator, working condition data and power grid frequency corresponding to the wind turbine generator at the current moment are obtained; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; the inertia trigger identifier, the power of the wind turbine and the working condition data are input into the parameter prediction model to obtain the control parameters output by the parameter prediction model, so that the control parameters matched with the current wind turbine power and the current working condition data can be obtained when inertia response occurs; further, generating a torque control command based on the power of the wind turbine, the control parameters and the grid frequency; according to the invention, when the inertia response occurs, the torque control instruction matched with the power, the control parameters and the power grid frequency of the wind turbine is generated to control the rotating speed of the wind turbine, so that the problems of reduction of the rotating speed and frequency drop of the wind turbine are avoided, and the frequency conforming to the power system can be provided for the power system aiming at any working condition.
The following describes the inertia control device of the wind turbine provided in the embodiment of the present invention, and the inertia control device of the wind turbine described below and the inertia control method of the wind turbine described above may be referred to correspondingly, and repeated parts are not described again, specifically as shown in fig. 6, the device includes:
the acquiring module 601 is used for acquiring working condition data and power grid frequency corresponding to the wind turbine at the current moment;
the first prediction module 602 is configured to input the operating condition data into the energy prediction model to obtain the power of the wind turbine output by the energy prediction model;
a first generating module 603, configured to generate an inertia trigger identifier when determining to trigger an inertia response;
the second prediction module 604 is configured to input the inertia trigger identifier, the power of the wind turbine, and the operating condition data into the parameter prediction model to obtain a control parameter output by the parameter prediction model, where the parameter prediction model is obtained by training an operating condition data sample, an inertia trigger identifier sample, a power sample of the wind turbine, and a control parameter sample;
a second generation module 605 for generating torque control instructions based on the power of the wind turbine, the control parameters and the grid frequency;
and the control module 606 is used for controlling the rotating speed of the wind turbine generator through a torque control instruction.
In a specific embodiment, the first generating module 603 is specifically configured to determine a grid frequency change rate based on the grid frequency; when the change rate of the power grid frequency is larger than a first preset value, determining to trigger inertia response, and generating an inertia trigger mark.
In one embodiment, the control parameters include: inertia additional active power, active power change rate, duration, torque change speed and inertia recovery active power; the working condition data comprises: the rotating speed of the motor; the second prediction module 604 is specifically configured to input the inertia trigger identifier, the power of the wind turbine, and the working condition data into the parameter prediction model, obtain the inertia additional active power and the active power change rate through the parameter prediction model based on the inertia trigger identifier, and obtain the duration, the torque change speed, and the inertia recovery active power based on the power of the wind turbine and the motor rotation speed.
In a specific embodiment, the second prediction module 604 is specifically configured to obtain an actual active power at a previous time based on the inertia trigger; obtaining actual duration and actual inertia additional active power based on the inertia trigger mark and the actual active power; when the actual duration is less than the preset duration and the actual inertia additional active power is greater than the preset inertia additional active power, obtaining inertia additional active power and an active power change rate; the preset duration is determined based on the network access standard of the power grid, and the preset inertia additional active power is determined based on the network access standard of the power grid.
In an embodiment, the second prediction module 604 is specifically configured to obtain the duration when a difference between the power of the wind turbine and a power difference before and after the preset inertia response is smaller than a second preset value; and obtaining the torque change speed and the inertia recovery active power based on the duration and the motor rotating speed.
In a specific embodiment, the second generating module 605 is specifically configured to, when determining to trigger the inertia response, obtain active power of a wind turbine corresponding to power of the wind turbine at the current time; adding the inertia additional active power to the active power of the wind turbine based on the active power change rate to obtain target power; when the trigger inertia response reaches the duration, restoring the target power to the inertia restoring active power; after the target power is restored to the inertia and the active power is restored, generating a torque control instruction based on the torque change speed; the torque control instruction is used for indicating that the torque of the wind turbine generator at the current moment is changed into a preset torque based on the torque change speed, and the preset torque is obtained through the power of the wind turbine generator and the rotating speed of the wind turbine generator.
Fig. 7 illustrates a physical structure diagram of an electronic device, and as shown in fig. 7, the electronic device may include: a processor (processor)701, a communication Interface (Communications Interface)702, a memory (memory)703 and a communication bus 704, wherein the processor 701, the communication Interface 702 and the memory 703 complete communication with each other through the communication bus 704. The processor 701 may call logic instructions in the memory 703 to perform a method for controlling inertia of a wind turbine, the method comprising: acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model, wherein the parameter prediction model is obtained by training a working condition data sample, an inertia trigger identifier sample, a power sample of the wind turbine and a control parameter sample; generating a torque control command based on the power of the wind turbine, the control parameter and the grid frequency; and controlling the rotating speed of the wind turbine generator through a torque control command.
In addition, the logic instructions in the memory 703 can be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, a computer is capable of executing the inertia control method for a wind turbine provided by the above methods, and the method includes: acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model, wherein the parameter prediction model is obtained by training a working condition data sample, an inertia trigger identifier sample, a power sample of the wind turbine and a control parameter sample; generating a torque control command based on the power of the wind turbine, the control parameter and the grid frequency; and controlling the rotating speed of the wind turbine generator through a torque control command.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing an inertia control method for a wind turbine generator, the method including: acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment; inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model; when the inertia response is determined to be triggered, generating an inertia trigger mark; inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model, wherein the parameter prediction model is obtained by training a working condition data sample, an inertia trigger identifier sample, a power sample of the wind turbine and a control parameter sample; generating a torque control command based on the power of the wind turbine, the control parameter and the grid frequency; and controlling the rotating speed of the wind turbine generator through a torque control command.
An embodiment of the present invention further provides a wind turbine, where the wind turbine includes: the control method comprises a wind turbine body and a control assembly, wherein the control assembly is used for executing the steps of the inertia control method of the wind turbine described in any one of the above embodiments.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An inertia control method of a wind turbine generator is characterized by comprising the following steps:
acquiring working condition data and power grid frequency corresponding to the wind turbine generator at the current moment;
inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model;
when the inertia response is determined to be triggered, generating an inertia trigger mark;
inputting the inertia trigger mark, the power of the wind turbine and the working condition data into a parameter prediction model to obtain a control parameter output by the parameter prediction model, wherein the parameter prediction model is obtained by training a working condition data sample, an inertia trigger mark sample, a power sample and a control parameter sample of the wind turbine;
generating a torque control command based on the power of the wind turbine, the control parameter, and the grid frequency;
and controlling the rotating speed of the wind turbine generator through the torque control instruction.
2. The inertia control method of a wind turbine generator according to claim 1, wherein generating an inertia trigger when determining the trigger inertia response comprises:
determining a grid frequency change rate based on the grid frequency;
and when the power grid frequency change rate is larger than a first preset value, determining to trigger the inertia response, and generating the inertia trigger mark.
3. The inertia control method of a wind turbine generator according to claim 1, wherein the control parameters include: inertia additional active power, active power change rate, duration, torque change speed and inertia recovery active power;
the working condition data comprises: the rotating speed of the motor;
the step of inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain the control parameters output by the parameter prediction model comprises the following steps:
inputting the inertia trigger, the power of the wind turbine and the operating condition data into a parameter prediction model; and obtaining the inertia additional active power and the active power change rate through the parameter prediction model based on the inertia trigger identifier, and obtaining the duration, the torque change speed and the inertia recovery active power based on the power of the wind turbine and the motor rotating speed.
4. The inertia control method of a wind turbine generator according to claim 3, wherein obtaining the inertia additional active power and the active power change rate based on the inertia trigger flag includes:
acquiring actual active power at the previous moment based on the inertia trigger mark;
obtaining actual duration and actual inertia additional active power based on the inertia trigger mark and the actual active power;
when the actual duration is less than a preset duration and the actual inertia additional active power is greater than a preset inertia additional active power, obtaining the inertia additional active power and the active power change rate;
the preset duration is determined based on a network access standard of a power grid, and the preset inertia additional active power is determined based on the network access standard of the power grid.
5. The method of inertia control for a wind turbine generator of claim 3, wherein the deriving the duration, the speed of torque change, and the inertia recovery real power based on the power of the wind turbine and a motor speed comprises:
when the difference between the power of the wind turbine and the power difference before and after the preset inertia response is smaller than a second preset value, obtaining the duration;
and obtaining the torque change speed and the inertia recovery active power based on the duration and the motor rotating speed.
6. The method of controlling inertia of a wind turbine generator of claim 5, wherein generating a torque control command based on the power of the wind turbine, the control parameter, and the grid frequency comprises:
when the inertia response is determined to be triggered, acquiring the active power of a wind turbine corresponding to the power of the wind turbine at the current moment;
adding the inertia additional active power to the active power of the wind turbine based on the active power change rate to obtain a target power;
when the inertia response is triggered to reach the duration, restoring the target power to the inertia restoring active power;
after the target power is restored to the inertia restoring active power, generating the torque control instruction based on the torque change speed;
the torque control instruction is used for indicating that the torque of the wind turbine generator at the current moment is changed into a preset torque based on the torque change speed, and the preset torque is obtained through the power of the wind turbine generator and the rotating speed of the wind turbine generator.
7. An inertia control apparatus of a wind turbine generator, comprising:
the acquisition module is used for acquiring working condition data and power grid frequency corresponding to the wind turbine at the current moment;
the first prediction module is used for inputting the working condition data into an energy prediction model to obtain the power of the wind turbine output by the energy prediction model;
the first generation module is used for generating an inertia trigger mark when determining the trigger inertia response;
the second prediction module is used for inputting the inertia trigger identifier, the power of the wind turbine and the working condition data into a parameter prediction model to obtain control parameters output by the parameter prediction model, and the parameter prediction model is obtained by training working condition data samples, inertia trigger identifier samples, power samples of the wind turbine and control parameter samples;
a second generation module for generating a torque control command based on the power of the wind turbine, the control parameter and the grid frequency;
and the control module is used for controlling the rotating speed of the wind turbine generator through the torque control instruction.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the inertia control method of a wind turbine generator set according to any one of claims 1 to 6 when executing the program.
9. Wind turbine comprising a wind turbine body and a control module for carrying out the steps of the method for controlling the inertia of a wind turbine according to any one of claims 1 to 6.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the inertia control method of a wind turbine generator set according to any of claims 1 to 6.
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| CN202111523208.8A CN114301088A (en) | 2021-12-13 | 2021-12-13 | Inertia control method, device, equipment and medium of wind turbine generator and wind turbine generator |
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