CN117833282B - Frequency modulation method and system for fused salt coupling thermal power generating unit - Google Patents
Frequency modulation method and system for fused salt coupling thermal power generating unit Download PDFInfo
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- H—ELECTRICITY
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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
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Abstract
The invention discloses a frequency modulation method and a frequency modulation system of a fused salt coupled thermal power generating unit, wherein the method comprises the steps of obtaining a frequency modulation instruction, and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction; decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number; and based on the modal quantity and the residual component, obtaining a high-frequency power component and a low-frequency power component, sending the high-frequency power component to molten salt as a molten salt frequency modulation power instruction, and sending the low-frequency power component to a thermal power unit as the thermal power unit frequency modulation power instruction. Therefore, the method and the device determine the decomposition layer number corresponding to the minimum first aliasing degree value as the optimal decomposition layer number through the trained prediction model, solve the problem of modal aliasing, optimize the frequency modulation effect and improve the application economy of the energy storage control system.
Description
Technical Field
The invention relates to the technical field of power grid frequency modulation, in particular to a frequency modulation method and system of a fused salt coupling thermal power generating unit.
Background
At present, the fire-storage combined frequency modulation can obviously improve the frequency modulation performance of the thermal power generating unit, so that the shortage of the frequency modulation capacity of the system can be quickly and effectively reduced. The fused salt energy storage takes nitrate and other raw materials as a heat storage medium, can store and release energy through the conversion of heat energy of a heat transfer working medium and the internal energy of fused salt, has the advantages of low cost, high safety, large capacity, long service life and the like, and is applied to fire-storage combined frequency modulation.
In the prior art, a frequency modulation instruction is divided into a high-frequency component and a low-frequency component by a variation mode decomposition (variational mode decomposition, VMD) technology, so that hybrid energy storage power distribution is performed. However, the VMD decomposition has the problem of mode aliasing, so that the frequency modulation effect is not ideal and the operation economy is poor.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent.
Therefore, the invention provides the frequency modulation method of the fused salt coupling thermal power generating unit, the decomposition layer number corresponding to the minimum first aliasing degree value can be determined to be the optimal decomposition layer number through the trained prediction model, the problem of modal aliasing is solved, the frequency modulation effect is optimized, and the application economy of the energy storage control system is improved.
The invention further aims at providing a frequency modulation system of the fused salt coupling thermal power generating unit.
In order to achieve the purpose, the invention provides a frequency modulation method of a fused salt coupled thermal power generating unit, which comprises the following steps:
Acquiring a frequency modulation instruction, and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
Decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number;
And based on the modal quantity and the residual component, obtaining a high-frequency power component and a low-frequency power component, sending the high-frequency power component to molten salt as a molten salt frequency modulation power instruction, and sending the low-frequency power component to a thermal power unit as the thermal power unit frequency modulation power instruction.
The frequency modulation method of the fused salt coupling thermal power generating unit provided by the embodiment of the invention can also have the following additional technical characteristics:
in one embodiment of the present invention, the determining the optimal decomposition level based on the frequency modulation command through a trained prediction model includes:
Inputting the frequency modulation instruction and the first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
the first decomposition layer number is automatically increased by 1, and after each automatic increase, the first decomposition layer number after the automatic increase is repeatedly input into the trained prediction model until the first decomposition layer number is equal to the second decomposition layer number, so as to obtain a target decomposition layer number corresponding to the minimum first aliasing degree value;
Acquiring a correction data set, and determining a correction coefficient by using the correction data set;
and correcting the target decomposition layer number by using the correction coefficient to obtain the optimal decomposition layer number.
In one embodiment of the invention, the modified data set includes an actual decomposition level set and a predicted decomposition level set; the determining of the correction coefficients using the correction dataset comprises: and determining a correction coefficient by using the actual decomposition layer number set and the predicted decomposition layer number set through a correction coefficient formula, wherein the correction coefficient formula is as follows:
/n
Where n is the number of predictions, k j is the j-th actual number of decomposition layers, and k 1j is the j-th predicted number of decomposition layers.
In one embodiment of the present invention, the correcting the target decomposition level number by using the correction coefficient to obtain an optimal decomposition level number includes: and correcting the target decomposition layer number by using the correction coefficient through a correction formula to obtain an optimal decomposition layer number, wherein the correction formula is as follows:
Wherein, For the best number of decomposition layers,/>For the target decomposition layer number,/>Is a correction coefficient.
In one embodiment of the present invention, the obtaining a high frequency power component and a low frequency power component based on the modal quantity and the residual component includes:
calculating a second aliasing degree value between adjacent modal amounts, and taking a smaller filtering order j in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
determining the sum of the mode quantities with the filtering order less than or equal to j as a high-frequency power component;
The sum of the mode amounts and the residual components with the filtering order larger than j is determined as the low-frequency power component.
To achieve the above object, another aspect of the present invention provides a frequency modulation system of a fused salt coupled thermal power generating unit, the system comprising:
The determining module is used for acquiring the frequency modulation instruction and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
The decomposition module is used for decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number;
the sending module is used for obtaining a high-frequency power component and a low-frequency power component based on the modal and the residual components, sending the high-frequency power component to molten salt to serve as a molten salt frequency modulation power instruction, and sending the low-frequency power component to a thermal power unit to serve as the thermal power unit frequency modulation power instruction.
In one embodiment of the present invention, the determining module is specifically configured to:
Inputting the frequency modulation instruction and the first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
the first decomposition layer number is automatically increased by 1, and after each automatic increase, the first decomposition layer number after the automatic increase is repeatedly input into the trained prediction model until the first decomposition layer number is equal to the second decomposition layer number, so as to obtain a target decomposition layer number corresponding to the minimum first aliasing degree value;
Acquiring a correction data set, and determining a correction coefficient by using the correction data set;
and correcting the target decomposition layer number by using the correction coefficient to obtain the optimal decomposition layer number.
In one embodiment of the present invention, the sending module is specifically configured to:
calculating a second aliasing degree value between adjacent modal amounts, and taking a smaller filtering order j in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
determining the sum of the mode quantities with the filtering order less than or equal to j as a high-frequency power component;
The sum of the mode amounts and the residual components with the filtering order larger than j is determined as the low-frequency power component.
Another object of the present invention is to propose an electronic device comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the preceding aspects.
Another object of the present invention is to provide a computer storage medium, wherein the computer storage medium stores computer executable instructions; the computer-executable instructions, when executed by a processor, cause a computer to perform the method of any of the preceding aspects.
According to the frequency modulation method and system for the fused salt coupling thermal power generating unit, the decomposition layer number corresponding to the minimum first aliasing degree value can be determined to be the optimal decomposition layer number through the trained prediction model, so that the problem of modal aliasing is solved, the frequency modulation effect is optimized, and the application economy of an energy storage control system is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a frequency modulation method of a fused salt coupled thermal power generating unit according to an embodiment of the invention;
FIG. 2 is a schematic illustration of a thermal power plant connected to a power grid according to an embodiment of the present invention;
fig. 3 is a simulation analysis diagram of a grid frequency modulation command signal according to an embodiment of the present invention;
Fig. 4 is a block diagram of a frequency modulation system of a fused salt coupled thermal power generating unit according to an embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
The frequency modulation method and the frequency modulation system of the fused salt coupling thermal power generating unit are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a frequency modulation method of a fused salt coupled thermal power generating unit according to an embodiment of the invention.
As shown in fig. 1, the method includes:
S1, acquiring a frequency modulation instruction, and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
In one embodiment of the present invention, after the power plant obtains the tuning instruction P T, the tuning instruction may be transmitted to the energy storage control system, so that the energy storage control system performs tuning based on the tuning instruction.
In one embodiment of the present invention, after the fm commands are obtained, the optimal number of decomposition layers may be determined by a trained predictive model so that the subsequent VMD algorithm may decompose based on the optimal number of decomposition layers.
Specifically, in one embodiment of the present invention, a method for determining the optimal number of decomposition layers based on a frequency modulation instruction by a trained predictive model may include the steps of:
S11, inputting a frequency modulation instruction and a first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
In one embodiment of the present invention, before inputting the frequency modulation instruction and the first decomposition level into the trained predictive model, the method may further include: and obtaining training data, and training the prediction model to be trained by using the training data to obtain a trained prediction model.
Wherein in one embodiment of the invention, the inputs of the predictive model to be trained are the frequency modulated signal and the number of decomposition layers, and the output of the predictive model to be trained is the first aliasing degree value. And in one embodiment of the present invention, the VMD algorithm decomposes the fm signal into M mode quantities (IMFs) by decomposing the layer number M and maps the M mode quantities to the frequency domain, and may determine a sum of aliasing degree values between adjacent mode quantities among the M mode quantities as a first aliasing degree value corresponding to the decomposition layer number M and the fm signal.
Illustratively, in one embodiment of the invention, the VMD algorithm decomposes the FM signal into 9 modal amounts: IMF1, IMF2, IMF3, IMF4, IMF5, IMF6, IMF7, IMF8, IMF9, and mapping the 9 modal amounts to the frequency domain, wherein the frequency length of the aliasing between IMF1 and IMF 2/the frequency length of the IMF1 and IMF2 subsequences yields an aliasing degree value for IMF1 and IMF 2.
And, in one embodiment of the present invention, the first aliasing degree value D may be expressed asWhere k1 is the number of modal amounts (IMFs)/>For/>Frequency of maximum modal quantity,/>For/>Frequency with minimum modal quantity,/>For/>Individual mode quantity and/>Frequency values of the overlap of the modal amounts.
Further, in an embodiment of the present invention, the prediction model may be any one of a GRU and a BP. And, the training data may be set as needed, for example, the training data may be more than or equal to 20000.
And, in an embodiment of the present invention, the first decomposition layer number may be an initial value of a set decomposition layer number, for example, the first decomposition layer number may be 4.
Step S12, the number of the first decomposition layers is increased by 1, each time, the number of the first decomposition layers after the self-increase is repeatedly input into a trained prediction model until the number of the first decomposition layers is equal to the number of the second decomposition layers, and a target decomposition layer number corresponding to the minimum first aliasing degree value is obtained;
In one embodiment of the present invention, the number of first decomposition layers may be increased by 1, and each time the increase is repeated, the step S11 may be repeated to obtain a first aliasing degree value corresponding to each first decomposition layer number, until the first decomposition layer number is equal to the second decomposition layer number, and the step S11 is not performed any more, where the obtained first decomposition layer number corresponding to the minimum first aliasing degree value may be determined as the target decomposition layer number. The second number of decomposition layers may be set as needed, and for example, the second number of decomposition layers may be 13.
S13, acquiring a correction data set, and determining a correction coefficient by using the correction data set;
In one embodiment of the present invention, after the target decomposition layer number is obtained through the above steps, the target decomposition layer number can be corrected by a correction coefficient, so that the corrected target decomposition layer number is more accurate.
Specifically, in one embodiment of the present invention, the modified data set may include an actual decomposition level set and a predicted decomposition level set. And, the method for determining the correction coefficient by using the correction data set may include: determining a correction coefficient by using the actual decomposition layer number set and the predicted decomposition layer number set through a correction coefficient formula, wherein the correction coefficient formula is as follows:
/n
Where n is the number of predictions, k j is the j-th actual number of decomposition layers, and k 1j is the j-th predicted number of decomposition layers.
And S14, correcting the target decomposition layer number by using the correction coefficient to obtain the optimal decomposition layer number.
In one embodiment of the present invention, the method for correcting the target decomposition level number by using the correction coefficient to obtain the optimal decomposition level number may include: and correcting the target decomposition layer number by using a correction coefficient through a correction formula to obtain an optimal decomposition layer number, wherein the correction formula is as follows:
Wherein, For the best number of decomposition layers,/>For the target decomposition layer number,/>For correction coefficients, [ ] represents a rounding.
S2, decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component;
In one embodiment of the invention, the frequency modulated instructions are obtained after decomposition by the VMD algorithm Wherein/>Total power to be compensated for frequency modulated instructions,/>The number of the mode quantities is the optimal decomposition layer number K,/>, which is the ith mode quantity (IMF) after decompositionIs the residual component after decomposition.
And S3, obtaining a high-frequency power component and a low-frequency power component based on the modal quantity and the residual component, sending the high-frequency power component to the molten salt as a molten salt frequency modulation power instruction, and sending the low-frequency power component to the thermal power unit as a thermal power unit frequency modulation power instruction.
In one embodiment of the invention, after the modal and residual components are obtained through the steps, high-frequency and low-frequency reconstruction can be performed on the IMF according to the characteristics of stabilizing power fluctuation of the molten salt and the thermal power generating unit so as to determine the high-frequency power component and the low-frequency power component.
In particular, in one embodiment of the present invention, a method of obtaining a high frequency power component and a low frequency power component based on a modal quantity and a residual component may include the steps of:
step S31, calculating a second aliasing degree value between adjacent modal amounts, and taking a smaller filtering order x in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
Step S32, determining the sum of the modal amounts with the filtering order less than or equal to x as a high-frequency power component;
and step S33, determining the sum of the modal quantity and the residual component with the filtering order larger than x as a low-frequency power component.
Wherein in one embodiment of the invention the second aliasing degree value = the frequency length of aliasing between adjacent modal amounts/the frequency length of adjacent modal quantum sequences.
For example, assuming that the number of modal amounts is 6, that is, IMF 1、IMF2、IMF3、IMF4、IMF5、IMF6 is included, where the second aliasing degree values corresponding to IMF 3 and IMF 4 are the lowest, the smaller filtering order 3 in IMF 3 and IMF 4 is taken as the dividing line.
And in one embodiment of the invention, after the high-frequency power component and the low-frequency power component are obtained, the high-frequency power component can be sent to the molten salt to serve as a molten salt frequency modulation power instruction P C, and the low-frequency power component can be sent to the thermal power unit to serve as a thermal power unit frequency modulation power instruction P L. Wherein,，/>。
In one embodiment of the present invention, fig. 2 is a schematic diagram of connection between a thermal power plant and a power grid according to an embodiment of the present invention. As shown in fig. 2, the electric machine group G is connected to a power grid via a bus, and a molten salt energy storage device (may be simply referred to as molten salt) is connected to the bus via a PCS (Power Conversion System, energy storage converter) and then incorporated into the power grid. The molten salt energy storage device comprises a molten salt tank, a thermoelectric direct conversion system and a molten salt heater, wherein the molten salt heater is used for converting electric energy from a power grid into heat energy to be stored in the molten salt tank, and the thermoelectric direct conversion system is used for converting the heat energy released by the molten salt tank into electric energy to be transmitted to the power grid. When the power grid issues the frequency modulation command, the frequency modulation command carries a power grid frequency modulation response requirement PT, and after the thermal power plant receives the frequency modulation command, the fused salt frequency modulation power command P C and the thermal power unit frequency modulation power command P L can be determined through the method to respond. The molten salt frequency modulation power instruction P C can be discharged/charged through a thermoelectric direct conversion system and a molten salt heater.
Further, in an embodiment of the present invention, fig. 3 is a simulation analysis chart of a power grid frequency modulation command signal provided in the embodiment of the present invention, where the duration of the signal is 80min, and the sampling interval is 1min. And obtaining the optimal number of layers K as 9 by adopting the method of the invention, selecting the optimal number of layers K as 7 according to the empirical parameters, and decomposing the frequency modulation command signals through K=9 and K=7 respectively to obtain a second aliasing degree value of the adjacent mode quantity. Table 1 is a table of the correspondence between the number of different best layers and the second aliasing degree value of the adjacent mode quantity.
TABLE 1
As shown in table 1, the frequency distinguishing characteristics of different IMFs obtained by the method provided by the invention are most obvious, and based on the frequency distinguishing characteristics, a better frequency modulation effect can be obtained by the method provided by the invention, and the application economy of the energy storage control system is improved.
In one embodiment of the invention, a frequency modulation instruction is obtained, and the optimal decomposition layer number is determined through a trained prediction model based on the frequency modulation instruction; decomposing a frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number; and based on the modal quantity and the residual component, obtaining a high-frequency power component and a low-frequency power component, sending the high-frequency power component to the molten salt as a molten salt frequency modulation power instruction, and sending the low-frequency power component to the thermal power unit as a thermal power unit frequency modulation power instruction. Therefore, the method and the device can determine the decomposition layer number corresponding to the minimum first aliasing degree value as the optimal decomposition layer number through the trained prediction model, solve the problem of modal aliasing, optimize the frequency modulation effect and improve the application economy of the energy storage control system.
In order to implement the above embodiment, as shown in fig. 4, there is further provided a frequency modulation system 10 of a fused salt coupled thermal power generating unit, where the system includes a determining module 100, a determining module 200, a decomposing module 300, and a transmitting module 400;
The determining module 100 is configured to obtain a frequency modulation instruction, and determine an optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
the decomposition module 200 is configured to decompose the frequency modulation instruction by using a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, where the number of modal quantities is the optimal decomposition layer number;
The sending module 300 is configured to obtain a high-frequency power component and a low-frequency power component based on the modal and the residual component, send the high-frequency power component to the molten salt as a molten salt frequency modulation power command, and send the low-frequency power component to the thermal power unit as a thermal power unit frequency modulation power command.
Further, the determining module is specifically configured to:
inputting the frequency modulation instruction and the first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
The first decomposition layer number is automatically increased by 1, and after the first decomposition layer number is automatically increased once, the first decomposition layer number after the automatic increase is repeatedly input into a trained prediction model until the first decomposition layer number is equal to the second decomposition layer number, and a target decomposition layer number corresponding to the minimum first aliasing degree value is obtained;
Acquiring a correction data set, and determining a correction coefficient by using the correction data set;
and correcting the target decomposition layer number by using the correction coefficient to obtain the optimal decomposition layer number.
Further, the modified data set includes an actual decomposition level set and a predicted decomposition level set; the above determining module is further configured to: determining a correction coefficient by using the actual decomposition layer number set and the predicted decomposition layer number set through a correction coefficient formula, wherein the correction coefficient formula is as follows:
/n
Where n is the number of predictions, k j is the j-th actual number of decomposition layers, and k 1j is the j-th predicted number of decomposition layers.
Further, the determining module is further configured to:
And correcting the target decomposition layer number by using the correction coefficient through a correction formula to obtain an optimal decomposition layer number, wherein the correction formula is as follows:
Wherein, For the best number of decomposition layers,/>For the target decomposition layer number,/>Is a correction coefficient.
Further, the above-mentioned sending module is specifically configured to:
Calculating a second aliasing degree value between adjacent modal amounts, and taking a smaller filtering order j in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
determining the sum of the mode quantities with the filtering order less than or equal to j as a high-frequency power component;
The sum of the mode amounts and the residual components with the filtering order larger than j is determined as the low-frequency power component.
According to the frequency modulation system of the fused salt coupling thermal power generating unit, the decomposition layer number corresponding to the minimum first aliasing degree value can be determined to be the optimal decomposition layer number through the trained prediction model, so that the problem of modal aliasing is solved, the frequency modulation effect is optimized, and the application economy of the energy storage control system is improved.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Claims (6)
1. A frequency modulation method of a fused salt coupled thermal power generating unit, the method comprising:
Acquiring a frequency modulation instruction, and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
Decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number;
Based on the modal quantity and the residual component, a high-frequency power component and a low-frequency power component are obtained, the high-frequency power component is sent to molten salt to serve as a molten salt frequency modulation power instruction, and the low-frequency power component is sent to a thermal power unit to serve as the thermal power unit frequency modulation power instruction;
The determining the optimal decomposition layer number based on the frequency modulation instruction through a trained prediction model comprises the following steps:
Inputting the frequency modulation instruction and the first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
the first decomposition layer number is automatically increased by 1, and after each automatic increase, the first decomposition layer number after the automatic increase is repeatedly input into the trained prediction model until the first decomposition layer number is equal to the second decomposition layer number, so as to obtain a target decomposition layer number corresponding to the minimum first aliasing degree value;
Acquiring a correction data set, and determining a correction coefficient by using the correction data set;
correcting the target decomposition layer number by using the correction coefficient to obtain an optimal decomposition layer number;
the correction data set comprises an actual decomposition layer number set and a predicted decomposition layer number set; the determining of the correction coefficients using the correction dataset comprises: and determining a correction coefficient by using the actual decomposition layer number set and the predicted decomposition layer number set through a correction coefficient formula, wherein the correction coefficient formula is as follows:
/n
wherein n is the number of prediction times, k j is the j-th actual decomposition layer number, and k 1j is the j-th predicted decomposition layer number;
the correcting the target decomposition layer number by using the correction coefficient to obtain an optimal decomposition layer number comprises the following steps: and correcting the target decomposition layer number by using the correction coefficient through a correction formula to obtain an optimal decomposition layer number, wherein the correction formula is as follows:
Wherein, For the best number of decomposition layers,/>For the target decomposition layer number,/>Is a correction coefficient.
2. The method according to claim 1, wherein the deriving high frequency power components and low frequency power components based on the modal amounts and residual components comprises:
calculating a second aliasing degree value between adjacent modal amounts, and taking a small filter order x in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
determining the sum of the modal amounts of which the filtering order is less than or equal to x as a high-frequency power component;
The sum of the residual component and the modal quantity with the filtering order greater than x is determined as the low frequency power component.
3. A frequency modulation system of a fused salt coupled thermal power generation unit, the system comprising:
The determining module is used for acquiring the frequency modulation instruction and determining the optimal decomposition layer number through a trained prediction model based on the frequency modulation instruction;
The decomposition module is used for decomposing the frequency modulation instruction through a VMD algorithm based on the optimal decomposition layer number to obtain a modal quantity and a residual component, wherein the number of the modal quantity is the optimal decomposition layer number;
the sending module is used for obtaining a high-frequency power component and a low-frequency power component based on the modal and the residual components, sending the high-frequency power component to molten salt to serve as a molten salt frequency modulation power instruction, and sending the low-frequency power component to a thermal power unit to serve as the thermal power unit frequency modulation power instruction;
The determining the optimal decomposition layer number based on the frequency modulation instruction through a trained prediction model comprises the following steps:
Inputting the frequency modulation instruction and the first decomposition layer number into a trained prediction model to obtain a first aliasing degree value corresponding to the first decomposition layer number;
the first decomposition layer number is automatically increased by 1, and after each automatic increase, the first decomposition layer number after the automatic increase is repeatedly input into the trained prediction model until the first decomposition layer number is equal to the second decomposition layer number, so as to obtain a target decomposition layer number corresponding to the minimum first aliasing degree value;
Acquiring a correction data set, and determining a correction coefficient by using the correction data set;
correcting the target decomposition layer number by using the correction coefficient to obtain an optimal decomposition layer number;
the correction data set comprises an actual decomposition layer number set and a predicted decomposition layer number set; the determining of the correction coefficients using the correction dataset comprises: and determining a correction coefficient by using the actual decomposition layer number set and the predicted decomposition layer number set through a correction coefficient formula, wherein the correction coefficient formula is as follows:
/n
wherein n is the number of prediction times, k j is the j-th actual decomposition layer number, and k 1j is the j-th predicted decomposition layer number;
the correcting the target decomposition layer number by using the correction coefficient to obtain an optimal decomposition layer number comprises the following steps: and correcting the target decomposition layer number by using the correction coefficient through a correction formula to obtain an optimal decomposition layer number, wherein the correction formula is as follows:
Wherein, For the best number of decomposition layers,/>For the target decomposition layer number,/>Is a correction coefficient.
4. A system according to claim 3, characterized in that the sending module is specifically configured to:
calculating a second aliasing degree value between adjacent modal amounts, and taking a small filter order x in the adjacent modal amount corresponding to the lowest second aliasing degree value as a dividing line;
determining the sum of the modal amounts of which the filtering order is less than or equal to x as a high-frequency power component;
The sum of the residual component and the modal quantity with the filtering order greater than x is determined as the low frequency power component.
5. An electronic device, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-2.
6. A computer storage medium, wherein the computer storage medium stores computer-executable instructions; the computer executable instructions, when executed by a processor, are capable of implementing the method of any of claims 1-2.
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