Energy storage capacity and operation strategy configuration method and system for high-permeability new energy

Abstract

The embodiment of the invention provides an energy storage capacity and operation strategy configuration method and system for high-permeability new energy, and belongs to the technical field of power grid side configuration. The configuration method comprises the following steps: acquiring a power supply output curve and a user load power curve of a predetermined area; determining a balance power curve according to the power supply output curve and the user load power curve; determining a corresponding balance power frequency domain curve according to the balance power curve; acquiring the response speed characteristics of peak-adjustable power supply and energy storage equipment in the predetermined area; segmenting the balance power frequency domain curve according to the response speed characteristics to obtain periodic frequency domain curves of a plurality of periodic segments; and obtaining an operation strategy of the energy storage equipment according to the periodic frequency domain curve. Compared with the prior art, the configuration method and system simultaneously combine the characteristics of power supply, power utilization and energy storage equipment, so that the configured operation strategy is more reasonable and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of grid-side configuration, and in particular to a method and system for configuring energy storage capacity and operation strategy for high-penetration new energy. Background Art

[0002] With the implementation of the "dual carbon" strategy and the construction of new power systems, the penetration rate of distributed clean energy represented by distributed photovoltaics and wind turbines in the power system continues to increase, and the volatility and randomness of their output have posed challenges to grid operations. In the operation of the distribution network, the grid-side energy storage system can store and release electric energy in a planned manner to achieve peak shaving and valley filling. It is one of the effective means for the grid side to smooth power fluctuations and improve the level of distributed power consumption.

[0003] The current energy storage system capacity and operation strategy configuration methods are mostly based on the peak load conditions on the grid side, without considering the charging and discharging response characteristics of the energy storage system itself, nor the coupling effect with the peak-shaving capabilities of other conventional power sources. Therefore, on the one hand, it will cause excessive investment and construction of energy storage systems, resulting in a waste of resources. On the other hand, relying solely on energy storage systems is difficult to fully achieve peak shaving and valley filling, and cannot effectively meet the needs of smoothing power fluctuations. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for configuring energy storage capacity and operation strategy for high-penetration new energy, which can reasonably adjust the operation strategy of energy storage equipment.

[0005] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for configuring energy storage capacity and operation strategy for high-penetration new energy, including:

[0006] Obtain the power output curve of the predetermined area and the user load power curve;

[0007] Determine a balanced power curve according to the power supply output curve and the user load power curve;

[0008] Determine a corresponding balanced power frequency domain curve according to the balanced power curve;

[0009] Obtaining the peak-adjustable power supply and response speed characteristics of the energy storage device in the predetermined area;

[0010] Segmenting the balanced power frequency domain curve according to the response speed characteristic to obtain periodic frequency domain curves of a plurality of periodic segments;

[0011] The operation strategy of the energy storage device is obtained according to the periodic frequency domain curve.

[0012] Optionally, obtaining a power output curve of a predetermined area and a user load power curve includes:

[0013] The sampling frequencies of the power supply output curve and the user load power curve are adjusted to the same frequency value.

[0014] Optionally, adjusting the sampling frequencies of the power output curve and the user load power curve to the same frequency value includes:

[0015] The sampling frequency is adjusted by using a difference method or a sampling method.

[0016] Optionally, adjusting the sampling frequencies of the power output curve and the user load power curve to the same frequency value includes:

[0017] The frequency value range is less than or equal to 5 min / group.

[0018] Optionally, determining a balanced power curve according to the power supply output curve and the user load power curve includes:

[0019] The balanced power curve is determined according to formula (1):

[0020] P b =P l -P g =P f +P s , (1)

[0021] Among them, P b To balance the power, P l is the load power of the area, P g is the power output, P f is the peak load output power of traditional thermal power, P s Output power to the energy storage device.

[0022] Optionally, determining a balanced power curve according to the power supply output curve and the user load power curve includes:

[0023] The minimum sampling unit value of the power supply output curve and the user load power curve is adjusted to 1 second.

[0024] Optionally, determining a corresponding balanced power frequency domain curve according to the balanced power curve includes:

[0025] Performing a fast Fourier transform operation on the balanced power curve to obtain a corresponding periodic spectrum;

[0026] The periodic spectrum is filtered according to the amplitude characteristics of the periodic spectrum to obtain the balanced power frequency domain curve.

[0027] Optionally, obtaining an operation strategy of an energy storage device according to the periodic frequency domain curve includes:

[0028] Performing an inverse Fourier operation on the periodic frequency domain curve;

[0029] The operation strategy is determined according to the result of the inverse Fourier operation.

[0030] On the other hand, the present invention also provides a system for configuring energy storage capacity and operation strategy for high-penetration new energy, wherein the configuration system includes a processor configured to execute any of the configuration methods described above.

[0031] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, wherein the instructions are used to be read by a machine so that the machine executes any of the configuration methods described above.

[0032] Through the above technical solution, the embodiment of the present invention provides a method and system for configuring energy storage capacity and operation strategy for high-penetration new energy. The method and system determine the balanced power curve through the power output curve and the power load power curve, and then divide the balanced power curve in combination with the response speed characteristics of the adjustable peak power supply and energy storage equipment to obtain the power supply and power consumption characteristics of the power side of each cycle segment, and finally determine the operation strategy in combination with the characteristics. Compared with the prior art, the configuration method and system combine the characteristics of power supply, power consumption and energy storage equipment at the same time, making the configured operation strategy more reasonable and efficient.

[0033] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0035] Figure 1 is a flow chart of a method for configuring energy storage capacity and operation strategy for high-penetration new energy according to an embodiment of the present invention;

[0036] Figure 2 is an example diagram of a power supply output curve and a user load power curve according to an embodiment of the present invention;

[0037] Figure 3 is an example diagram of a balanced power curve according to one embodiment of the present invention;

[0038] Figure 4 is one of the exemplary diagrams of the periodic spectrum according to one embodiment of the present invention;

[0039] Figure 5is a second example diagram of a periodic spectrum according to an embodiment of the present invention;

[0040] Figure 6 is a third example diagram of a periodic spectrum according to an embodiment of the present invention;

[0041] Figure 7 is an example diagram of a periodic frequency domain curve according to an embodiment of the present invention;

[0042] Figure 8 is an example diagram showing a power curve of an energy storage device after an inverse Fourier operation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0044] like Figure 1 The figure shows a flow chart of a method for configuring energy storage capacity and operation strategy for high penetration new energy according to one embodiment of the present invention. Figure 1 In the configuration method, the following steps may be included:

[0045] In step S10, a power output curve of a predetermined area and a user load power curve are obtained;

[0046] In step S11, a balanced power curve is determined according to the power supply output curve and the user load power curve;

[0047] In step S12, a corresponding balanced power frequency domain curve is determined according to the balanced power curve;

[0048] In step S13, the peak-adjustable power supply and response speed characteristics of the energy storage device in the predetermined area are obtained;

[0049] In step S14, the balanced power frequency domain curve is segmented according to the response speed characteristics to obtain periodic frequency domain curves of multiple periodic segments;

[0050] In step S15, the operation strategy of the energy storage device is obtained according to the periodic frequency domain curve.

[0051] In this Figure 1In the configuration method shown, step S10 can be used to obtain the power output curve and user load power curve of the predetermined area. The predetermined area can be an area for configuring the operation strategy. The power output curve can be a power supply power curve of a power supply section such as a thermal power plant or wind power, and the user load power curve can be a load power curve at the user end. Example graphs of the power output curve and the user load power curve can be as follows: Figure 2 shown.

[0052] Since the collection ends of the power supply output curve and the user load power curve are different, after obtaining the power supply output curve and the user load power curve, in order to facilitate subsequent calculations, the sampling frequencies of the power supply output curve and the user load power curve can be adjusted to the same frequency value. The specific method for adjusting the sampling frequency of the power supply output curve and the user load power curve can be a variety known to those skilled in the art. In one example of the present invention, the method for adjusting the sampling frequency of the power supply output curve and the user load power curve can be to adjust by using a difference method or a sampling method. For the frequency value, it can also be a plurality of values ​​known to those skilled in the art. In one example of the present invention, the value range of the frequency value can be less than or equal to 5min / group.

[0053] Step S11 can be used to determine a balanced power curve based on the power output curve and the user load power curve. The balanced power curve can be used to represent the power compensation demand of the power grid side for the energy storage device. The specific method for determining the balanced power curve based on the power output curve and the user load power curve can be in various forms known to those skilled in the art. In one example of the present invention, the method for determining the balanced power curve based on the power output curve and the user load power curve can be determined by using the following formula (1):

[0054] P b =P l -P g =P f +P s , (1)

[0055] Among them, P b To balance the power, P l is the load power of the area, P g is the power output, P f is the peak load output power of traditional thermal power, P s is the output power of the energy storage device. In addition, for the convenience of calculation, before using the formula (1) for calculation, the minimum sampling unit value of the power output curve and the user load power curve can be adjusted to, for example, 1 second. In one example of the present invention, the calculated balanced power curve can be as follows: Figure 3 shown.

[0056] Step S12 can be used to determine the corresponding balanced power frequency domain curve based on the balanced power curve. Specifically, step S12 can be to first perform a fast Fourier transform operation on the balanced power curve to obtain the corresponding periodic spectrum, and then perform a filtering operation on the periodic spectrum according to the amplitude characteristics of the periodic spectrum to obtain the balanced power frequency domain curve. Among them, the filtering operation can be to filter out the curve segments with very low overall amplitude (lower than a preset threshold) and very small changes. In one example of the present invention, the filtering operation can also use a Butterworth filter to perform the filtering operation. In one example of the present invention, the example diagram of the periodic spectrum can be as follows Figures 4 to 6 shown.

[0057] Step S13 can obtain the response speed characteristics of the adjustable peak power supply and energy storage device in the predetermined area, and step S14 can be used to segment the balanced power frequency domain curve according to the response speed characteristics to obtain the periodic frequency domain curves of multiple period segments, thereby obtaining the periodic frequency domain curve corresponding to each period segment. In an example of the present invention, the example diagram of the periodic frequency domain curve can be as follows: Figure 7 shown.

[0058] Finally, the operation strategy of the energy storage device is obtained according to the periodic frequency domain curve in step S15. The method for obtaining the operation strategy may be in various forms known to those skilled in the art. In one example of the present invention, the periodic frequency domain curve may be first subjected to an inverse Fourier operation, and then the operation strategy is determined according to the result of the inverse Fourier operation. In one example of the present invention, an example diagram showing the power curve of the energy storage device after the inverse Fourier operation is shown in FIG. Figure 8 shown.

[0059] On the other hand, the present invention also provides a system for configuring energy storage capacity and operation strategy for high-penetration new energy, the configuration system comprising a processor, the processor being configured to execute any of the configuration methods described above. Specifically, the configuration method may include the following steps:

[0060] In step S10, a power output curve of a predetermined area and a user load power curve are obtained;

[0061] In step S11, a balanced power curve is determined according to the power supply output curve and the user load power curve;

[0062] In step S12, a corresponding balanced power frequency domain curve is determined according to the balanced power curve;

[0063] In step S13, the peak-adjustable power supply and response speed characteristics of the energy storage device in the predetermined area are obtained;

[0064] In step S14, the balanced power frequency domain curve is segmented according to the response speed characteristics to obtain periodic frequency domain curves of multiple periodic segments;

[0065] In step S15, the operation strategy of the energy storage device is obtained according to the periodic frequency domain curve.

[0066] In this Figure 1 In the configuration method shown, step S10 can be used to obtain the power output curve and user load power curve of the predetermined area. The predetermined area can be an area for configuring the operation strategy. The power output curve can be a power supply power curve of a power supply section such as a thermal power plant or wind power, and the user load power curve can be a load power curve at the user end. Example graphs of the power output curve and the user load power curve can be as follows: Figure 2 shown.

[0067] Since the collection ends of the power supply output curve and the user load power curve are different, after obtaining the power supply output curve and the user load power curve, in order to facilitate subsequent calculations, the sampling frequencies of the power supply output curve and the user load power curve can be adjusted to the same frequency value. The specific method for adjusting the sampling frequency of the power supply output curve and the user load power curve can be a variety known to those skilled in the art. In one example of the present invention, the method for adjusting the sampling frequency of the power supply output curve and the user load power curve can be to adjust by using a difference method or a sampling method. For the frequency value, it can also be a plurality of values ​​known to those skilled in the art. In one example of the present invention, the value range of the frequency value can be less than or equal to 5min / group.

[0068] Step S11 can be used to determine a balanced power curve based on the power output curve and the user load power curve. The balanced power curve can be used to represent the power compensation demand of the power grid side for the energy storage device. The specific method for determining the balanced power curve based on the power output curve and the user load power curve can be in various forms known to those skilled in the art. In one example of the present invention, the method for determining the balanced power curve based on the power output curve and the user load power curve can be determined by using the following formula (1):

[0069] P b =P l -P g =P f +P s , (1)

[0070] Among them, P b To balance the power, P l is the load power of the area, P g is the power output, P d is the peak load output power of traditional thermal power, Ps is the output power of the energy storage device. In addition, for the convenience of calculation, before using the formula (1) for calculation, the minimum sampling unit value of the power output curve and the user load power curve can be adjusted to, for example, 1 second. In one example of the present invention, the calculated balanced power curve can be as follows: Figure 3 shown.

[0071] Step S12 can be used to determine the corresponding balanced power frequency domain curve based on the balanced power curve. Specifically, step S12 can be to first perform a fast Fourier transform operation on the balanced power curve to obtain the corresponding periodic spectrum, and then perform a filtering operation on the periodic spectrum according to the amplitude characteristics of the periodic spectrum to obtain the balanced power frequency domain curve. Among them, the filtering operation can be to filter out the curve segments with very low overall amplitude (lower than a preset threshold) and very small changes. In one example of the present invention, the filtering operation can also use a Butterworth filter to perform the filtering operation. In one example of the present invention, the example diagram of the periodic spectrum can be as follows Figures 4 to 6 shown.

[0072] Step S13 can obtain the response speed characteristics of the adjustable peak power supply and energy storage device in the predetermined area, and step S14 can be used to segment the balanced power frequency domain curve according to the response speed characteristics to obtain the periodic frequency domain curves of multiple period segments, thereby obtaining the periodic frequency domain curve corresponding to each period segment. In an example of the present invention, the example diagram of the periodic frequency domain curve can be as follows: Figure 7 shown.

[0073] Finally, the operation strategy of the energy storage device is obtained according to the periodic frequency domain curve in step S15. The method for obtaining the operation strategy may be in various forms known to those skilled in the art. In one example of the present invention, the periodic frequency domain curve may be first subjected to an inverse Fourier operation, and then the operation strategy is determined according to the result of the inverse Fourier operation. In one example of the present invention, an example diagram showing the power curve of the energy storage device after the inverse Fourier operation is shown in FIG. Figure 8 shown.

[0074] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, wherein the instructions are used to be read by a machine so that the machine executes any of the configuration methods described above.

[0075] Through the above technical solution, the configuration method and system of the grid-side energy storage capacity and operation strategy provided by the embodiment of the present invention determines the balanced power curve through the power supply output curve and the power load power curve, and then divides the balanced power curve in combination with the response speed characteristics of the adjustable peak power supply and energy storage equipment, obtains the power supply and power consumption characteristics of the power side in each cycle segment, and finally determines the operation strategy in combination with the characteristics. Compared with the prior art, the configuration method and system combine the characteristics of power supply, power consumption and energy storage equipment at the same time, making the configured operation strategy more reasonable and efficient.

[0076] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0077] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0080] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0081] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0082] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0083] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0084] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for configuring energy storage capacity and operation strategy for high-penetration new energy, characterized in that: The configuration method comprises: Obtain the power output curve of the predetermined area and the user load power curve; Determine a balanced power curve according to the power supply output curve and the user load power curve; Determine a corresponding balanced power frequency domain curve according to the balanced power curve; Obtaining the peak-adjustable power supply and response speed characteristics of the energy storage device in the predetermined area; Segmenting the balanced power frequency domain curve according to the response speed characteristic to obtain periodic frequency domain curves of a plurality of periodic segments; The operation strategy of the energy storage device is obtained according to the periodic frequency domain curve.

2. The configuration method according to claim 1, characterized in that: Obtain the power output curve and user load power curve of the predetermined area, including: The sampling frequencies of the power supply output curve and the user load power curve are adjusted to the same frequency value.

3. The configuration method according to claim 2, characterized in that: Adjusting the sampling frequencies of the power output curve and the user load power curve to the same frequency value includes: The sampling frequency is adjusted by using a difference method or a sampling method.

4. The configuration method according to claim 2, characterized in that: Adjusting the sampling frequencies of the power output curve and the user load power curve to the same frequency value includes: The frequency value range is less than or equal to 5 min / group.

5. The configuration method according to claim 1, characterized in that: Determining a balanced power curve according to the power supply output curve and the user load power curve includes: The balanced power curve is determined according to formula (1): P b =P l -P g =P f +P s , (1) Among them, P b To balance the power, P l is the load power of the area, P g is the power output, P f is the peak load output power of traditional thermal power, P s Output power to the energy storage device.

6. The configuration method according to claim 5, characterized in that: Determining a balanced power curve according to the power supply output curve and the user load power curve includes: The minimum sampling unit value of the power supply output curve and the user load power curve is adjusted to 1 second.

7. The configuration method according to claim 1, characterized in that: Determining a corresponding balanced power frequency domain curve according to the balanced power curve includes: Performing a fast Fourier transform operation on the balanced power curve to obtain a corresponding periodic spectrum; The periodic spectrum is filtered according to the amplitude characteristics of the periodic spectrum to obtain the balanced power frequency domain curve.

8. The configuration method according to claim 1, characterized in that: Obtaining an operation strategy of the energy storage device according to the periodic frequency domain curve includes: Performing an inverse Fourier operation on the periodic frequency domain curve; The operation strategy is determined according to the result of the inverse Fourier operation.

9. A system for configuring energy storage capacity and operation strategy for high-penetration new energy, characterized in that: The configuration system comprises a processor, and the processor is configured to execute the configuration method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and the instructions are used to be read by a machine so that the machine executes the configuration method according to any one of claims 1 to 8.

Images