CN117713144B - Thermal power generating unit frequency modulation method and system based on molten salt energy storage - Google Patents
Thermal power generating unit frequency modulation method and system based on molten salt energy storage Download PDFInfo
- Publication number
- CN117713144B CN117713144B CN202410167378.4A CN202410167378A CN117713144B CN 117713144 B CN117713144 B CN 117713144B CN 202410167378 A CN202410167378 A CN 202410167378A CN 117713144 B CN117713144 B CN 117713144B
- Authority
- CN
- China
- Prior art keywords
- frequency
- component
- modal
- target
- energy storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 69
- 150000003839 salts Chemical class 0.000 title claims abstract description 65
- 238000004146 energy storage Methods 0.000 title claims abstract description 64
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 77
- 238000011156 evaluation Methods 0.000 claims abstract description 61
- 230000004044 response Effects 0.000 claims abstract description 32
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 17
- 230000003044 adaptive effect Effects 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 230000008030 elimination Effects 0.000 claims 2
- 238000003379 elimination reaction Methods 0.000 claims 2
- 230000006870 function Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 229910002651 NO3 Inorganic materials 0.000 description 1
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005338 heat storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Landscapes
- Feedback Control In General (AREA)
Abstract
The application relates to the technical field of power grid frequency modulation, in particular to a frequency modulation method and a system of a thermal power generating unit based on molten salt energy storage, wherein the method comprises the steps of determining power grid frequency modulation response requirements based on received frequency modulation instructions; decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components; calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index; updating the number of decomposition layers to obtain a new target modal component and a new evaluation index until the upper limit of the number of decomposition layers is reached, so as to obtain the number of target frequency bands when the evaluation index is maximum; dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component; and controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component.
Description
Technical Field
The application relates to the technical field of power grid frequency modulation, in particular to a thermal power generating unit frequency modulation method and system based on molten salt energy storage.
Background
The fire-storage combined frequency modulation can obviously improve the frequency modulation performance of the thermal power generating unit, and can quickly and effectively reduce the shortage of the frequency modulation capacity of the system. At present, the fire-storage combined frequency modulation technology comprises battery energy storage, super-capacitor energy storage, flywheel energy storage, fused salt energy storage, hybrid energy storage formed by various forms and the like, the cycle life of the battery energy storage is low, certain potential safety hazards exist, the super-capacitor energy storage and the flywheel energy storage are used as the representation of a power type energy storage device, the fire-storage combined frequency modulation technology has the defects of high cost, low energy density and the like, the fused salt energy storage uses raw materials such as nitrate as a heat storage medium, and the energy is stored and released through the conversion of the heat energy of a heat transfer working medium and the internal energy of fused salt, so that the fire-storage combined frequency modulation technology has the advantages of low cost, high safety, large capacity, long service life and the like.
In the prior art, the fused salt energy storage is combined with the VMD technology to assist in frequency modulation, then a signal can be decomposed by the VMD to obtain a plurality of modal components (IMF) components, and the response time is too long to influence the frequency modulation time when all the modal components are input. Therefore, the prior art proposes a mode component aggregation method based on entropy calculation, the mode components are divided into different sections through power spectrum entropy and permutation entropy, the mode components in the same section are aggregated to form new mode components (SIMFS), the calculation amount of a model is reduced, but the SIMFS components can cause mode aliasing phenomenon, and the high-frequency and low-frequency parts lack obvious division.
Disclosure of Invention
The present application aims to solve at least one of the technical problems in the related art to some extent.
Therefore, a first object of the application is to provide a thermal power generating unit frequency modulation method based on molten salt energy storage, so as to ensure short response time and avoid modal aliasing.
The second aim of the application is to provide a thermal power generating unit frequency modulation system based on molten salt energy storage.
A third object of the present application is to propose an electronic device.
A fourth object of the present application is to propose a computer readable storage medium.
To achieve the above objective, an embodiment of a first aspect of the present application provides a frequency modulation method for a thermal power generating unit based on molten salt energy storage, wherein a thermal power plant is configured with molten salt energy storage equipment, and the frequency modulation method includes the following steps:
determining a power grid frequency modulation response requirement based on the received frequency modulation instruction;
Decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components;
Calculating the center frequency of each modal component, and obtaining the number of frequency bands and target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, so as to obtain an evaluation index;
updating the number of decomposition layers to obtain a new target modal component and a new evaluation index until the upper limit of the number of decomposition layers is reached, so as to obtain the number of target frequency bands when the evaluation index is maximum;
dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component;
And controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power generating unit to respond according to the low-frequency component.
In the method of the first aspect of the present application, before calculating the center frequency of each modal component, further comprising: and (3) eliminating false components of all modal components obtained by decomposition.
In the method according to the first aspect of the present application, when performing the spurious component removal, if the ith modal component satisfies the formula (1), the modal component is a virtual component, and the formula (1) is:
（1）
where K is the number of decomposition layers, IMF i is the i-th modal component, and IMF min is the modal component corresponding to the energy minimum.
In the method of the first aspect of the present application, the calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index includes: calculating the center frequency of each modal component, and sequencing all modal components based on each center frequency to obtain a target sequence; obtaining the number of frequency bands based on the maximum value and the minimum value of the center frequency; and dividing the target sequence by using the frequency band quantity to obtain target modal components corresponding to each frequency band.
In the method of the first aspect of the present application, the calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, further obtaining an evaluation index, further includes: and calculating based on the center frequency of the target modal component of each frequency band to obtain the evaluation index under the current decomposition layer number.
In the method of the first aspect of the present application, the evaluation index satisfies: Wherein Z is an evaluation index, L is the number of frequency bands,/> Is the center frequency of the target modal component of the ith frequency band.
To achieve the above objective, an embodiment of a second aspect of the present application provides a thermal power generating unit frequency modulation system based on molten salt energy storage, the thermal power generating unit is configured with molten salt energy storage equipment, the frequency modulation system includes:
The acquisition module is used for determining the frequency modulation response requirement of the power grid based on the received frequency modulation instruction;
The decomposition module is used for decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components;
the frequency band division module is used for calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by utilizing the self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index;
The selection module is used for updating the decomposition layer number to obtain a new target modal component and a new evaluation index until the upper limit of the decomposition layer number is reached so as to obtain the number of target frequency bands when the evaluation index is maximum;
The component dividing module is used for dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component;
And the control module is used for controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component.
In the system of the second aspect of the present application, the system further includes a rejection module, one end of the rejection module is connected to the decomposition module, the other end of the rejection module is connected to the frequency band division module, and the rejection module is configured to reject false components of all modal components obtained by decomposition.
To achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method according to the first aspect of the present application.
To achieve the above object, an embodiment of a fourth aspect of the present application provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the method set forth in the first aspect of the present application when executed by a processor.
According to the thermal power generating unit frequency modulation method, the thermal power generating unit frequency modulation system, the electronic equipment and the storage medium based on the molten salt energy storage, the power grid frequency modulation response requirement is determined based on the received frequency modulation instruction; decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components; calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index; updating the number of decomposition layers to obtain a new target modal component and a new evaluation index until the upper limit of the number of decomposition layers is reached, so as to obtain the number of target frequency bands when the evaluation index is maximum; dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component; and controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component. Under the condition of different decomposition layers, the frequency band number and the target modal components corresponding to each frequency band are obtained by utilizing the self-adaptive frequency band division method based on the center frequency of each modal component, so that an evaluation index is obtained, then the corresponding target frequency band number when the evaluation index is maximum is selected to divide the frequency band number to obtain high-low frequency components, and the response time is short and modal aliasing is avoided through the combination of the center frequency, the self-adaptive frequency band division method and the evaluation index.
Additional aspects and advantages of the application 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 application.
Drawings
The foregoing and/or additional aspects and advantages of the application 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 schematic diagram of connection between a thermal power plant and a power grid according to an embodiment of the present application;
Fig. 2 is a schematic flow chart of a thermal power generating unit frequency modulation method based on molten salt energy storage according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a specific process for obtaining the number of target frequency bands according to an embodiment of the present application;
FIG. 4 is a graph of a frequency modulation command according to an embodiment of the present application;
fig. 5 is a block diagram of a thermal power generating unit frequency modulation system based on molten salt energy storage according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The frequency modulation method and system of the thermal power generating unit based on molten salt energy storage are described below with reference to the accompanying drawings.
The embodiment of the application provides a thermal power generating unit frequency modulation method based on molten salt energy storage, which is used for guaranteeing short response time and avoiding modal aliasing.
In the application, the thermal power plant is provided with the molten salt energy storage equipment, and the molten salt energy storage equipment assists the thermal power unit to participate in frequency modulation.
Fig. 1 is a schematic diagram of connection between a thermal power plant and a power grid according to an embodiment of the present application. As shown in fig. 1, 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 or molten salt energy storage) is connected to the bus via a PCS (Power Conversion System, energy storage converter) and then is 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 a frequency modulation command, the frequency modulation command carries a power grid frequency modulation response requirement P T, after the thermal power plant receives the frequency modulation command, the thermal power plant G responds with a thermal power plant load P L, and the rest is responded by molten salt energy storage equipment, namely the molten salt energy storage equipment responds with molten salt energy storage output of Pc (P T-PL =Pc). The frequency modulation method of the fused salt coupling thermal power unit can be used for more accurately determining the values of the thermal power unit load P L and the fused salt energy storage output P C.
Fig. 2 is a schematic flow chart of a thermal power generating unit frequency modulation method based on molten salt energy storage according to an embodiment of the application. As shown in fig. 2, the frequency modulation method of the thermal power generating unit based on molten salt energy storage comprises the following steps:
Step S101, determining the power grid frequency modulation response requirement based on the received frequency modulation instruction.
Specifically, in step S101, the grid fm response demand P T is carried by the fm instruction, so the grid fm response demand may be determined based on the received fm instruction.
And step S102, decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components.
As can be readily appreciated, the VMD (Variational Mode Decomposition, variational modal decomposition) algorithm is a completely non-recursive modal variational approach, with which the original signal f (t) can be decomposed into a plurality of modal components (INTRINSIC MODE FUNCTION, IMF) with certain sparsity properties.
In step S102, the grid frequency modulation response requirement is decomposed by the VMD algorithm to obtain a plurality of modal components. The number of modal components is the number of decomposition layers K.
In step S102, a range of the number of decomposition layers is set, wherein a minimum value of the range of the number of decomposition layers (i.e., a lower limit of the number of decomposition layers) is an initial value of the number of decomposition layers. The maximum value of the range of the number of decomposition layers (i.e., the upper limit of the number of decomposition layers) is the final value of the number of decomposition layers. In step S102, the power grid frequency modulation response requirement is decomposed by using a VMD algorithm based on the initial value of the decomposition layer number.
In step S102, considering that there is a false component after the signal is decomposed, the power distribution is seriously affected, so before entering the subsequent processing after the decomposition is finished, the method further includes: and (3) eliminating false components of all modal components obtained by decomposition. When the false component is removed, if the ith modal component meets the formula (1), the modal component is a virtual component and can be removed, otherwise, the ith modal component is reserved. The formula (1) is:
（1）
Where K is the number of decomposition layers, IMF i is the i-th modal component, and IMF min is the modal component corresponding to the energy minimum. Where the energy Ei of the ith modal component satisfies ei= (IMF i)2.
Step S103, calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, and further obtaining the evaluation index.
Specifically, in step S103, the center frequency of each modal component is calculated, and the number of frequency bands and the target modal components corresponding to each frequency band are obtained by using an adaptive frequency band division method based on the center frequency, so as to obtain an evaluation index, which includes: calculating the center frequency of each modal component, and sequencing all modal components based on each center frequency to obtain a target sequence; obtaining the number of frequency bands based on the maximum value and the minimum value of the center frequency; and dividing the target sequence by using the number of the frequency bands to obtain target modal components corresponding to the frequency bands.
Calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index, and further comprising: and calculating based on the center frequency of the target modal component of each frequency band to obtain the evaluation index under the current decomposition layer number.
Specifically, the center frequency of each modal component is calculated, and all modal components are arranged from large to small according to the center frequency, so that a target sequence is obtained.
The number of frequency bands L satisfies: In the above, the ratio of/> Represents the maximum value in K center frequencies,/>Representing the minimum of the K center frequencies. Dividing the target sequence from front to back by using the number L of frequency bands to obtain L frequency bands, wherein the number N of modal components included in each frequency band satisfies [ K/L ] =N, and [ ] represents rounding. Wherein each of the first L-1 frequency bands includes N modal components, and the remaining K-N (L-1) modal components are divided into the last frequency band. It should be noted that, if the spurious component removal is performed before step S103, the number of decomposition layers K participating in the calculation in the frequency band number L needs to be replaced with the number of modal components reserved after the spurious component removal.
The target modal component (SIMF) for each frequency band is the sum of all modal components for that band.
The method comprises the steps of obtaining an evaluation index by using a center frequency ratio method, specifically, calculating the center frequency of a target modal component of each frequency band of each cycle, and carrying out difference absolute value on every two adjacent center frequencies, wherein the evaluation index meets the following conditions: Wherein Z is an evaluation index, L is the number of frequency bands,/> Is the center frequency of the target modal component of the ith frequency band,/>Is the center frequency of the target modal component of the i-1 th frequency band.
And step S104, updating the decomposition layer number to obtain a new target modal component and a new evaluation index until the upper limit of the decomposition layer number is reached, so as to obtain the target frequency band number when the evaluation index is maximum.
In step S104, an evaluation index is obtained by updating the number of decomposition layers every time, and the maximum value of the evaluation index is selected from all the evaluation indexes under different decomposition layers, wherein the number of decomposition layers corresponding to the maximum value of the evaluation index is the target number of decomposition layers, and the number of frequency bands under the target number of decomposition layers is the target number of frequency bands. And each target modal component corresponding to the number of the target frequency bands is used for dividing the high-frequency component and the low-frequency component subsequently.
Taking the range of the number of decomposition layers as [6,15] as an example, fig. 3 is a schematic diagram of a specific flow for obtaining the number of target frequency bands according to an embodiment of the present application. As shown in fig. 3, after a signal (i.e., a power grid frequency modulation response requirement) is input, determining that the initial value of the decomposition layer number is 6, decomposing the power grid frequency modulation response requirement by using a VMD algorithm to obtain K modal components, obtaining L target modal components (SIMF) by a false component removal method and an adaptive frequency band division method, and calculating based on the center frequencies of the L target modal components under the initial value of the decomposition layer number to obtain an evaluation index corresponding to the decomposition layer number; judging whether the current decomposition layer number reaches the upper limit 15 of the decomposition layer number, if not, updating the decomposition layer number (namely K=K+1), returning to obtain a new evaluation index by using the new decomposition layer number until the current decomposition layer number reaches the upper limit 15 of the decomposition layer number, selecting the maximum value of the evaluation index from the evaluation indexes corresponding to the decomposition layer numbers, and outputting the target modal components of the number of target frequency bands corresponding to the maximum value of the evaluation index.
Step S105, dividing target modal components corresponding to the number of the target frequency bands to obtain high-frequency components and low-frequency components.
Specifically, in step S105, high-frequency and low-frequency reconstruction is performed on the target modal components of the target frequency band number according to the characteristics of stabilizing the power fluctuation of the molten salt and the thermal power generating unit. In step S105, half of the number of the target frequency bands is rounded to obtain the filter order; and carrying out high-frequency and low-frequency reconstruction on the target modal components of the number of the target frequency bands based on the filtering order, wherein the sum of the target modal components with the target frequency band sequence numbers smaller than or equal to the filtering order is a high-frequency component, and the sum of the target modal components with the target frequency band sequence numbers larger than the filtering order is a low-frequency component.
And S106, controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component.
Considering that the high frequency component is stabilized by the molten salt and the low frequency component is stabilized by the thermal power generating unit, specifically, in step S106, the molten salt energy storage device is controlled to respond according to the high frequency component and the thermal power generating unit is controlled to respond according to the low frequency component. Namely, the fused salt energy storage output P C of the fused salt energy storage device is equal to the high-frequency component, and the load P L of the thermal power unit is equal to the low-frequency component.
In order to verify the effect of the method of the application, experimental verification was performed.
Fig. 4 is a graph of a frequency modulation command according to an embodiment of the present application. During verification, the simulation analysis is carried out by adopting the frequency modulation command signal of the regional power grid as shown in fig. 4, wherein the time length of the signal (namely the frequency modulation command) is 80min as shown in fig. 4. Let the sampling interval be 1min. The load response requirement P T for the fm commands is around ± 0.4 per unit (p.u.).
To further verify the advantages of the algorithm provided by the present invention, the present invention decomposes the frequency modulation instruction by using the algorithm of the present invention (iterative computation k=11) and VMD (k=8) selected according to the empirical parameters (i.e. given empirically), and the aliasing degree of adjacent modes is shown in table 1.
Table 1 table of the degree of aliasing of adjacent modes
As can be seen from table 1, the frequency distinguishing features of different IMFs of the algorithm provided by the invention are most obvious, so that the VMD with optimized parameters can better accomplish reasonable distribution of the power in a mode of distinguishing high-frequency components from low-frequency components relative to the VMD.
In order to achieve the embodiment, the application further provides a thermal power generating unit frequency modulation system based on molten salt energy storage, and the thermal power plant is provided with molten salt energy storage equipment.
Fig. 5 is a block diagram of a thermal power generating unit frequency modulation system based on molten salt energy storage according to an embodiment of the present application.
As shown in fig. 5, the frequency modulation system of the thermal power generating unit based on molten salt energy storage comprises an acquisition module 11, a decomposition module 12, a frequency band division module 13, a selection module 14, a component division module 15 and a control module 16, wherein:
The acquisition module 11 is used for determining the power grid frequency modulation response requirement based on the received frequency modulation instruction;
the decomposition module 12 is configured to decompose the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components;
The frequency band division module 13 is configured to calculate a center frequency of each modal component, obtain the number of frequency bands and target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, and further obtain an evaluation index;
A selection module 14, configured to update the number of decomposition layers to obtain a new target modal component and a new evaluation index until an upper limit of the number of decomposition layers is reached, so as to obtain a target frequency band number when the evaluation index is maximum;
the component dividing module 15 is configured to divide target modal components corresponding to the number of target frequency bands to obtain a high-frequency component and a low-frequency component;
the control module 16 is used for controlling the molten salt energy storage device to respond according to the high-frequency component and controlling the thermal power generating unit to respond according to the low-frequency component.
Further, in one possible implementation manner of the embodiment of the present application, the system further includes a rejection module, one end of the rejection module is connected to the decomposition module, the other end of the rejection module is connected to the frequency band division module, and the rejection module is used for rejecting false components of all modal components obtained by decomposition.
Further, in one possible implementation manner of the embodiment of the present application, in the rejection module, when the rejection of the false component is performed, if the ith modal component satisfies the formula (1), the modal component is a virtual component, where the formula (1) is:
（1）
where K is the number of decomposition layers, IMF i is the i-th modal component, and IMF min is the modal component corresponding to the energy minimum.
Further, in one possible implementation manner of the embodiment of the present application, the frequency band division module 13 is specifically configured to: calculating the center frequency of each modal component, and sequencing all modal components based on each center frequency to obtain a target sequence; obtaining the number of frequency bands based on the maximum value and the minimum value of the center frequency; dividing the target sequence by using the number of frequency bands to obtain target modal components corresponding to each frequency band; and calculating based on the center frequency of the target modal component of each frequency band to obtain the evaluation index under the current decomposition layer number.
Further, in one possible implementation manner of the embodiment of the present application, the evaluation index in the frequency band division module 13 satisfies: Wherein Z is an evaluation index, L is the number of frequency bands,/> Is the center frequency of the target modal component of the ith frequency band.
It should be noted that the explanation of the foregoing embodiment of the frequency modulation method of the thermal power generating unit based on molten salt energy storage is also applicable to the frequency modulation system of the thermal power generating unit based on molten salt energy storage of the embodiment, and will not be repeated herein.
In the embodiment of the application, the frequency modulation response requirement of the power grid is determined based on the received frequency modulation instruction; decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components; calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index; updating the number of decomposition layers to obtain a new target modal component and a new evaluation index until the upper limit of the number of decomposition layers is reached, so as to obtain the number of target frequency bands when the evaluation index is maximum; dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component; and controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component. Under the condition of different decomposition layers, the frequency band number and the target modal components corresponding to each frequency band are obtained by utilizing the self-adaptive frequency band division method based on the center frequency of each modal component, so that an evaluation index is obtained, then the corresponding target frequency band number when the evaluation index is maximum is selected to divide the frequency band number to obtain high-low frequency components, and the response time is short and modal aliasing is avoided through the combination of the center frequency, the self-adaptive frequency band division method and the evaluation index.
The method and the system of the application provide a self-adaptive dividing algorithm which can divide the target modal component SIMF naturally according to the center frequency of the target modal component SIMF without human, thereby ensuring the short response time and avoiding modal aliasing. In addition, the false component exists after the signal is decomposed, so that the power distribution is seriously influenced, and the false component is reduced by using the method for judging the false component, so that the power distribution is influenced.
In order to achieve the above embodiment, the present application further provides an electronic device, including: a processor, a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the methods provided by the previous embodiments.
In order to implement the above embodiment, the present application also proposes a computer-readable storage medium having stored therein computer-executable instructions, which when executed by a processor are configured to implement the method provided in the foregoing embodiment.
In order to implement the above embodiments, the present application also proposes a computer program product comprising a computer program which, when executed by a processor, implements the method provided by the above embodiments.
In the foregoing description of embodiments, reference has been made to the terms "one embodiment," "some embodiments," "example," "a particular example," or "some examples," etc., meaning 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 application. 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 application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (8)
1. The thermal power generating unit frequency modulation method based on molten salt energy storage is characterized in that a thermal power plant is provided with molten salt energy storage equipment, and the frequency modulation method comprises the following steps:
determining a power grid frequency modulation response requirement based on the received frequency modulation instruction;
Decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components;
Calculating the center frequency of each modal component, and obtaining the number of frequency bands and target modal components corresponding to each frequency band by using a self-adaptive frequency band division method based on the center frequency, so as to obtain an evaluation index;
updating the number of decomposition layers to obtain a new target modal component and a new evaluation index until the upper limit of the number of decomposition layers is reached, so as to obtain the number of target frequency bands when the evaluation index is maximum;
dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component;
Controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power generating unit to respond according to the low-frequency component;
Before calculating the center frequency of each modal component, performing false component elimination on all the obtained modal components, and when performing false component elimination, if the ith modal component satisfies the formula (1), the modal component is a virtual component, wherein the formula (1) is:
（1）
where K is the number of decomposition layers, IMF i is the i-th modal component, and IMF min is the modal component corresponding to the energy minimum.
2. The frequency modulation method of thermal power generating unit based on molten salt energy storage according to claim 1, wherein the calculating the center frequency of each modal component, and obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, further obtaining an evaluation index comprises:
Calculating the center frequency of each modal component, and sequencing all modal components based on each center frequency to obtain a target sequence;
obtaining the number of frequency bands based on the maximum value and the minimum value of the center frequency;
and dividing the target sequence by using the frequency band quantity to obtain target modal components corresponding to each frequency band.
3. The frequency modulation method of thermal power generating unit based on molten salt energy storage according to claim 2, wherein the calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by using an adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index, further comprises:
And calculating based on the center frequency of the target modal component of each frequency band to obtain the evaluation index under the current decomposition layer number.
4. A method of frequency modulation of a thermal power generating unit based on molten salt energy storage as claimed in claim 3, wherein the evaluation index satisfies: Wherein Z is an evaluation index, L is the number of frequency bands,/> Is the center frequency of the target modal component of the ith frequency band.
5. Thermal power generating unit's frequency modulation system based on fused salt energy storage, its characterized in that, thermal power plant is furnished with fused salt energy storage equipment, and frequency modulation system includes:
The acquisition module is used for determining the frequency modulation response requirement of the power grid based on the received frequency modulation instruction;
The decomposition module is used for decomposing the power grid frequency modulation response requirement through a VMD algorithm based on the initial value of the decomposition layer number to obtain a plurality of modal components;
the frequency band division module is used for calculating the center frequency of each modal component, obtaining the number of frequency bands and the target modal components corresponding to each frequency band by utilizing the self-adaptive frequency band division method based on the center frequency, and further obtaining an evaluation index;
The selection module is used for updating the decomposition layer number to obtain a new target modal component and a new evaluation index until the upper limit of the decomposition layer number is reached so as to obtain the number of target frequency bands when the evaluation index is maximum;
The component dividing module is used for dividing target modal components corresponding to the number of the target frequency bands to obtain a high-frequency component and a low-frequency component;
the control module is used for controlling the molten salt energy storage equipment to respond according to the high-frequency component and controlling the thermal power unit to respond according to the low-frequency component;
The rejection module is used for carrying out false component rejection on all the obtained modal components before calculating the center frequency of each modal component, and if the ith modal component meets the formula (1) when carrying out false component rejection, the modal component is a virtual component, and the formula (1) is as follows:
（1）
where K is the number of decomposition layers, IMF i is the i-th modal component, and IMF min is the modal component corresponding to the energy minimum.
6. The frequency modulation system of a thermal power generating unit based on molten salt energy storage according to claim 5, wherein one end of the rejecting module is connected with the decomposing module, and the other end of the rejecting module is connected with the frequency band dividing module.
7. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
The processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-4.
8. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410167378.4A CN117713144B (en) | 2024-02-06 | 2024-02-06 | Thermal power generating unit frequency modulation method and system based on molten salt energy storage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410167378.4A CN117713144B (en) | 2024-02-06 | 2024-02-06 | Thermal power generating unit frequency modulation method and system based on molten salt energy storage |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117713144A CN117713144A (en) | 2024-03-15 |
| CN117713144B true CN117713144B (en) | 2024-04-30 |
Family
ID=90157443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410167378.4A Active CN117713144B (en) | 2024-02-06 | 2024-02-06 | Thermal power generating unit frequency modulation method and system based on molten salt energy storage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117713144B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117977635A (en) * | 2024-03-27 | 2024-05-03 | 西安热工研究院有限公司 | Frequency modulation method and device for fused salt coupling thermal power generating unit, electronic equipment and medium |
| CN117977636A (en) * | 2024-03-28 | 2024-05-03 | 西安热工研究院有限公司 | Sample entropy-based frequency modulation method and system for fused salt coupling thermal power generating unit |
| CN117996789A (en) * | 2024-04-07 | 2024-05-07 | 西安热工研究院有限公司 | Frequency modulation method of fused salt coupling thermal power generating unit based on bidirectional predictive feedback adjustment |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108521133A (en) * | 2018-04-18 | 2018-09-11 | 国网山西省电力公司电力科学研究院 | Fire-storage combined dispatching frequency modulation power distribution method based on set empirical mode decomposition |
| CN110333285A (en) * | 2019-07-04 | 2019-10-15 | 大连海洋大学 | Ultrasonic Lamb waves Defect signal recognition method based on variation mode decomposition |
| CN111238808A (en) * | 2020-02-04 | 2020-06-05 | 沈阳理工大学 | Compound fault diagnosis method for gearbox based on empirical mode decomposition and improved variational mode decomposition |
| CN112636367A (en) * | 2020-12-09 | 2021-04-09 | 南京工程学院 | Hybrid energy storage capacity optimal configuration method for stabilizing wind power fluctuation |
| CN113049684A (en) * | 2021-03-23 | 2021-06-29 | 大连海洋大学 | Ultrasonic lamb wave defect signal identification method based on variational modal decomposition |
| CN113851144A (en) * | 2021-09-30 | 2021-12-28 | 山东大学 | Voice signal denoising method based on improved variational modal decomposition and principal component analysis |
| CN115189370A (en) * | 2022-07-18 | 2022-10-14 | 广东电网有限责任公司 | Capacity allocation method and system for participating in frequency modulation by hybrid energy storage |
| CN115811070A (en) * | 2022-12-05 | 2023-03-17 | 华北电力大学 | Flywheel energy storage self-adaptive capacity configuration method and system for assisting thermal power generating unit in frequency modulation |
| CN116565894A (en) * | 2023-04-28 | 2023-08-08 | 国网江苏省电力有限公司宿迁供电分公司 | Hybrid energy storage output control method for stabilizing wind power fluctuation |
| CN116599080A (en) * | 2023-05-08 | 2023-08-15 | 西安热工研究院有限公司 | Method and device for assisting thermal power generating unit in frequency modulation based on molten salt energy storage system |
| CN116760060A (en) * | 2023-05-24 | 2023-09-15 | 东北电力大学 | Double-layer optimization method for frequency modulation power of fire-multi-storage system |
| CN117081128A (en) * | 2023-08-25 | 2023-11-17 | 贵州大学 | Micro-grid hybrid energy storage capacity optimal configuration method based on variation modal decomposition |
| JP7407894B1 (en) * | 2022-07-07 | 2024-01-04 | 中国長江三峡集団有限公司 | Control method, device and electronic equipment for hybrid energy storage system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111064210B (en) * | 2019-12-12 | 2021-09-14 | 国网浙江省电力有限公司台州供电公司 | Hierarchical control method for island power grid energy storage system for increasing new energy power generation fluctuation |
| EP4270717A4 (en) * | 2020-12-24 | 2024-03-06 | Mitsubishi Electric Corp | Power storage system and grid control system |
-
2024
- 2024-02-06 CN CN202410167378.4A patent/CN117713144B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108521133A (en) * | 2018-04-18 | 2018-09-11 | 国网山西省电力公司电力科学研究院 | Fire-storage combined dispatching frequency modulation power distribution method based on set empirical mode decomposition |
| CN110333285A (en) * | 2019-07-04 | 2019-10-15 | 大连海洋大学 | Ultrasonic Lamb waves Defect signal recognition method based on variation mode decomposition |
| CN111238808A (en) * | 2020-02-04 | 2020-06-05 | 沈阳理工大学 | Compound fault diagnosis method for gearbox based on empirical mode decomposition and improved variational mode decomposition |
| CN112636367A (en) * | 2020-12-09 | 2021-04-09 | 南京工程学院 | Hybrid energy storage capacity optimal configuration method for stabilizing wind power fluctuation |
| CN113049684A (en) * | 2021-03-23 | 2021-06-29 | 大连海洋大学 | Ultrasonic lamb wave defect signal identification method based on variational modal decomposition |
| CN113851144A (en) * | 2021-09-30 | 2021-12-28 | 山东大学 | Voice signal denoising method based on improved variational modal decomposition and principal component analysis |
| JP7407894B1 (en) * | 2022-07-07 | 2024-01-04 | 中国長江三峡集団有限公司 | Control method, device and electronic equipment for hybrid energy storage system |
| CN115189370A (en) * | 2022-07-18 | 2022-10-14 | 广东电网有限责任公司 | Capacity allocation method and system for participating in frequency modulation by hybrid energy storage |
| CN115811070A (en) * | 2022-12-05 | 2023-03-17 | 华北电力大学 | Flywheel energy storage self-adaptive capacity configuration method and system for assisting thermal power generating unit in frequency modulation |
| CN116565894A (en) * | 2023-04-28 | 2023-08-08 | 国网江苏省电力有限公司宿迁供电分公司 | Hybrid energy storage output control method for stabilizing wind power fluctuation |
| CN116599080A (en) * | 2023-05-08 | 2023-08-15 | 西安热工研究院有限公司 | Method and device for assisting thermal power generating unit in frequency modulation based on molten salt energy storage system |
| CN116760060A (en) * | 2023-05-24 | 2023-09-15 | 东北电力大学 | Double-layer optimization method for frequency modulation power of fire-multi-storage system |
| CN117081128A (en) * | 2023-08-25 | 2023-11-17 | 贵州大学 | Micro-grid hybrid energy storage capacity optimal configuration method based on variation modal decomposition |
Non-Patent Citations (1)
| Title |
|---|
| 关于多种模态分解方法的分离效果的差别探讨;周柏彤;刘增力;朱健晨;;信息技术;20161225(第12期);第87-92页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117713144A (en) | 2024-03-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117713144B (en) | Thermal power generating unit frequency modulation method and system based on molten salt energy storage | |
| CN117691629B (en) | Frequency modulation method and system for fused salt coupling thermal power generating unit | |
| CN117691631B (en) | Electric power frequency modulation method and system based on hybrid energy storage device | |
| CN117674198B (en) | Frequency modulation method and system for super-capacitor coupling lithium battery | |
| CN117674199B (en) | Power system frequency modulation method and system of super-capacitor coupling lithium battery | |
| CN117691630B (en) | VMD-CEEMD-based power system frequency modulation method and system | |
| CN109866625B (en) | Vehicle, and method and device for eliminating vehicle shaking | |
| CN117811023A (en) | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit | |
| DE102016113429B4 (en) | Method for starting an internal combustion engine of a hybrid powertrain system | |
| CN117833282A (en) | Frequency modulation method and system for fused salt coupling thermal power generating unit | |
| CN115378017A (en) | Thermal power generating unit frequency modulation method and device based on flywheel lithium battery hybrid energy storage system | |
| CN117977634B (en) | Frequency modulation method and system for fused salt coupling thermal power generating unit based on double decomposition | |
| CN117878975B (en) | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit based on predictive clustering | |
| CN117878971A (en) | Novel frequency modulation method and system for fused salt energy storage coupling thermal power generating unit | |
| CN118157159A (en) | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit | |
| CN116331065A (en) | Power battery power correction method, vehicle and storage medium | |
| CN117996787A (en) | Frequency modulation method of fused salt coupling thermal power generating unit based on bidirectional prediction | |
| CN117977634A (en) | Frequency modulation method and system for fused salt coupling thermal power generating unit based on double decomposition | |
| CN107284248B (en) | Method and device for calculating driving range of automobile | |
| CN117996786A (en) | Frequency modulation method of fused salt coupling thermal power generating unit based on secondary correction | |
| CN117996788A (en) | Frequency modulation method of fused salt coupling thermal power generating unit based on two-dimensional predictive feedback | |
| CN117996789A (en) | Frequency modulation method of fused salt coupling thermal power generating unit based on bidirectional predictive feedback adjustment | |
| CN117977636A (en) | Sample entropy-based frequency modulation method and system for fused salt coupling thermal power generating unit | |
| CN115169662A (en) | Large-energy regenerative braking energy storage capacity configuration method suitable for electrified railway | |
| CN117878973A (en) | Frequency modulation method and system for fused salt coupling thermal power generating unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |