CN113162080A - Capacity configuration method and system for hybrid energy storage system - Google Patents

Abstract

The invention discloses a capacity configuration method for a hybrid energy storage system. energy system reference power; use wavelet packet decomposition to decompose the energy storage system reference power to obtain the low frequency component absorbed by the battery, the intermediate frequency component absorbed by the supercapacitor and the high frequency component absorbed by the energy storage system's own capacity; and establish a hybrid The model of the annual value of the energy storage cost, and the capacity configuration of the energy storage system is determined based on the low-frequency component, the intermediate-frequency component, the high-frequency component, and the model of the annual value of the hybrid energy storage cost. The present invention fully considers the characteristics of the stabilizing effect of the hybrid energy storage system, and can further reduce the fluctuation of the stabilizing wind power and the cost of the hybrid energy storage system required.

Description

Hybrid energy storage system capacity allocation method and system

technical field

The present invention relates to the technical field of hybrid energy storage optimization configuration of power systems, and in particular, to a capacity configuration method and system of a hybrid energy storage system.

Background technique

Due to the randomness and volatility of the output power of wind farms, the integration of large-scale wind power into the grid will have an impact on the power grid and affect the safe and reliable operation of the system. The system needs to add additional rotating backup to stabilize wind power fluctuations. Therefore, many countries have formulated grid-connected standards for intermittent power sources, and China has also issued relevant regulations to strictly limit the fluctuation range of grid-connected wind power. The energy storage system can realize the time-space translation of electric energy, and the configuration of the energy storage system on the power generation side can stabilize the fluctuation of wind power, reduce the rotating reserve capacity of the system, and improve the ability of the grid to accept wind power. There are two types of energy storage media: energy type and power type. The energy type is represented by the battery, which has a large energy density, but a small power density and a long response time, which is suitable for processing low-frequency fluctuation power with high energy. The power type is represented by supercapacitor, flywheel and superconducting magnetic energy storage. It has high power density, short response time, and can be charged and discharged frequently, but with low energy density, it is suitable for processing high-frequency fluctuation power with low energy. At present, the stabilization effect of wind power fluctuations is not good, and the cost is also relatively large.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a capacity configuration method and system for a hybrid energy storage system, which fully considers the characteristics of the stabilization effect of the hybrid energy storage system, and can further reduce the fluctuation of the stabilization wind power and the system. The cost of the hybrid energy storage system it requires.

In order to achieve the above purpose, the present invention provides a capacity configuration method for a hybrid energy storage system, wherein the capacity configuration method for a hybrid energy storage system includes: using a moving average method to obtain a grid-connected reference power that meets the frequency range standard of the wind power grid-connected standard, Calculate the reference power of the energy storage system based on the original wind power and the grid-connected reference power; use the wavelet packet decomposition method to decompose the reference power of the energy storage system to obtain the low frequency component absorbed by the battery, the intermediate frequency component absorbed by the super capacitor and the energy storage system The high-frequency components absorbed by its own absorbing capacity; and establishing a model for the annual value of the hybrid energy storage cost, and determining the cost of the energy storage system based on the low-frequency, medium-frequency, high-frequency components and the model of the annual cost of the hybrid energy storage system. Capacity configuration.

Preferably, the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power includes: taking the difference between the original wind power and the grid-connected reference power as the reference power of the energy storage system.

Preferably, decomposing the reference power of the energy storage system by using the wavelet packet decomposition method includes:

其中，Lay≥1；Gn为第Lay层分解的小波包分量，t为时间，t＝t₀+iTs；其中，t₀为初始时间，Ts为采样周期，i为采样点序号；第n个小波包分量由

频段内的波动组成，F_s为风功率采样频率，Fs＝1/Ts；Perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m=2 ^Lay wavelet packet components

Among them, Lay≥1; Gn is the wavelet packet component decomposed by the layer Lay, t is the time, t=t ₀ +iTs; among them, t ₀ is the initial time, Ts is the sampling period, and i is the sampling point sequence number; The wavelet packet components are given by

The fluctuation composition in the frequency band, F _s is the sampling frequency of wind power, Fs=1/Ts;

Using the preset first frequency dividing point n _L and the second frequency dividing point n _H , the wavelet packet components are divided into batteries that absorb the low frequency power fluctuation part of n<n _L respectively, absorb n _L ≤n≤n _H The supercapacitor of the intermediate frequency power fluctuation part and the absorption ability of the system itself to absorb the high frequency power fluctuation part of n _H ≤ n; among them,

The power absorbed by the battery is

The power absorbed by the supercapacitor is

The power absorbed by the system itself is .

Preferably, the model for establishing the annual cost value of hybrid energy storage includes:

Obtain the relevant parameters of the following costs of the energy storage system: initial investment cost, auxiliary equipment cost, operation and maintenance cost and recovery value; and

Based on the relevant parameters of all costs obtained, the following model of the annual value of hybrid energy storage costs is established:

C _HESs =C _ini +C _sup +C _fix -C _rec -B _r ;

Among them, C _ini is the initial investment cost; C _sup is the auxiliary equipment cost; C _fix is the operation and maintenance cost; C _rec is the recovery value of energy storage; B _r is the reserve capacity benefit.

In addition, the present invention also provides a capacity configuration system for a hybrid energy storage system, wherein the capacity configuration system for the hybrid energy storage system includes:

The energy storage system reference power calculation unit is used to obtain the grid-connected reference power that meets the frequency range standard of the wind power grid-connected standard by using the moving average method, and calculate the energy storage system reference power based on the original wind power and the grid-connected reference power;

a component obtaining unit, configured to decompose the reference power of the energy storage system by using the wavelet packet decomposition method, and obtain the low frequency component absorbed by the battery, the intermediate frequency component absorbed by the super capacitor and the high frequency component absorbed by the absorption capacity of the energy storage system itself; and

The capacity configuration unit is used to establish a model of the annual cost value of the hybrid energy storage, and determine the capacity configuration of the energy storage system based on the low-frequency component, the intermediate frequency component, the high-frequency component and the model of the annual value of the hybrid energy storage cost.

Preferably, calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power by the energy storage system reference power calculation unit includes:

The energy storage system reference power calculation unit is configured to use the difference between the original wind power and the grid-connected reference power as the energy storage system reference power.

Preferably, the component obtaining unit includes:

其中，Lay≥1；Gn为第Lay层分解的小波包分量，t为时间，t＝t₀+iTs；其中，t₀为初始时间，Ts为采样周期，i为采样点序号；第n个小波包分量由

频段内的波动组成，F_s为风功率采样频率，Fs＝1/Ts；A wavelet packet decomposition module, configured to perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m=2 ^Lay wavelet packet components

Among them, Lay≥1; Gn is the wavelet packet component decomposed by the layer Lay, t is the time, t=t ₀ +iTs; among them, t ₀ is the initial time, Ts is the sampling period, and i is the sampling point sequence number; The wavelet packet components are given by

The fluctuation composition in the frequency band, F _s is the sampling frequency of wind power, Fs=1/Ts;

The component absorption module is used to divide the wavelet packet component into a battery that _absorbs the low-frequency power _fluctuation part of n< _nL , a battery that absorbs n The supercapacitor of the intermediate frequency power fluctuation part with _L ≤n≤n _H and the absorption ability of the system itself to absorb the high frequency power fluctuation part of n _H ≤n; wherein,

The power absorbed by the battery is

The power absorbed by the supercapacitor is

The power absorbed by the system itself is .

Preferably, the model used by the capacity allocation unit to establish the annual cost value of hybrid energy storage includes:

A parameter acquisition module for acquiring the relevant parameters of the following costs of the energy storage system: initial investment cost, auxiliary equipment cost, operation and maintenance cost, and recovery value; and

The model building module is used to build the following model of the annual value of the hybrid energy storage cost based on the relevant parameters of all costs obtained:

C _HESS =C _ini +C _sup +C _fix -C _rec -B _r ;

Among them, C _ini is the initial investment cost; C _sup is the auxiliary equipment cost; C _fix is the operation and maintenance cost; C _rec is the recovery value of energy storage; B _r is the reserve capacity benefit.

In addition, the present invention also provides a machine-readable storage medium, where instructions are stored on the machine-readable storage medium, and the instructions are used to cause a machine to execute the foregoing method for configuring the capacity of a hybrid energy storage system.

In addition, the present invention also provides a processor for running a program, wherein when the program is run, the program is used to execute: the above-mentioned method for configuring the capacity of a hybrid energy storage system.

According to the above technical solution, under the premise of achieving the best economical efficiency, the present invention uses the hybrid energy storage mode to respectively smooth the power fluctuations in different frequency bands. Compared with the single energy storage mode, the hybrid energy storage mode has an impact on the performance and capacity of the energy storage. The requirements for energy storage are reduced, and the annual cost of energy storage is lower. The present invention considers the system absorbing capacity, and takes the minimum annual cost value in the life cycle of the energy storage system as the goal to smooth the fluctuation of wind power in real time, reduces the requirement on the charging and discharging capacity of the super capacitor in the process of energy storage configuration, and prolongs the life of the super capacitor. The service life further improves the economy of energy storage.

Other features and advantages of the present invention will be described in detail in the detailed description that follows.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and together with the following specific embodiments, are used to explain the present invention, but do not constitute a limitation to the present invention. In the attached image:

Fig. 1 is the decomposition flow chart of a kind of hybrid energy storage system capacity allocation method of the present invention;

Fig. 2 is a method flow chart of a hybrid energy storage system capacity configuration method of the present invention; and

FIG. 3 is a block diagram of a hybrid energy storage system capacity configuration system of the present invention.

Description of reference numerals

1 Energy storage system reference power calculation unit 2 Component acquisition unit

3 Capacity Hives

Detailed ways

The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present invention, but not to limit the present invention.

Fig. 1 is a decomposition flow chart of a capacity configuration method of a hybrid energy storage system according to the present invention. As shown in Fig. 1, the capacity configuration method of the hybrid energy storage system is mainly to perform a sliding average on the original wind power to meet the wind power grid connection requirements. The standard grid-connected reference power in the standard frequency range, and then the difference between the grid-connected reference power and the original wind power power is used as the reference power of the energy storage system; then the reference power of the energy storage system is subjected to wavelet packet decomposition to obtain high-frequency components and intermediate-frequency components. and low-frequency components, and then decomposed so that the battery, the supercapacitor, and the absorption capacity of the energy storage system can be absorbed separately.

FIG. 2 is a flowchart of a method for configuring the capacity of a hybrid energy storage system provided by the present invention. As shown in FIG. 2 , the method for configuring the capacity of a hybrid energy storage system includes:

S201 , using a moving average method to perform a moving average on the original wind power to obtain a grid-connected reference power that meets the frequency range standard of the wind power grid-connected standard, and calculate the energy storage system reference power based on the original wind power and the grid-connected reference power.

S202 , using the wavelet packet decomposition method to decompose the reference power of the energy storage system to obtain the low frequency component absorbed by the battery, the intermediate frequency component absorbed by the supercapacitor, and the high frequency component absorbed by the energy storage system's own absorption capacity. Among them, the wavelet packet decomposition method in the present invention decomposes the reference power of the energy storage system into three components: low frequency, intermediate frequency and high frequency, and different components are suppressed by using different components, and the way of allocating them into three frequencies can fully The characteristics of different products can be used to better achieve the smoothing effect.

S203 , establishing a model of the annual cost value of the hybrid energy storage, and determining the capacity configuration of the energy storage system based on the low-frequency component, the intermediate frequency component, the high-frequency component, and the model of the annual cost value of the hybrid energy storage.

Preferably, the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power includes: taking the difference between the original wind power and the grid-connected reference power as the reference power of the energy storage system. Specifically, the formula for calculating the reference power X(t) of the energy storage system is as follows:

x(t)=P _HESS (t)=P _w (t)-P _out (t);

Wherein, the P _out (t) is the grid-connected reference power, and P _W (t) is the original wind power.

Preferably, the step of decomposing the reference power of the energy storage system by using the wavelet packet decomposition method includes:

其中，Lay≥1；Gn为第Lay层分解的小波包分量，t为时间，t＝t₀+iTs；其中，t₀为初始时间，Ts为采样周期，i为采样点序号；第n个小波包分量由

频段内的波动组成，F_s为风功率采样频率，Fs＝1/Ts；Perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m=2 ^Lay wavelet packet components

Among them, Lay≥1; Gn is the wavelet packet component decomposed by the layer Lay, t is the time, t=t ₀ +iTs; among them, t ₀ is the initial time, Ts is the sampling period, and i is the sampling point sequence number; The wavelet packet components are given by

The fluctuation composition in the frequency band, F _s is the sampling frequency of wind power, Fs=1/Ts;

Using the preset first frequency dividing point n _L and the second frequency dividing point n _H , the wavelet packet components are divided into batteries that absorb the low frequency power fluctuation part of n<n _L respectively, absorb n _L ≤n≤n _H The supercapacitor of the intermediate frequency power fluctuation part and the absorption ability of the system itself to absorb the high frequency power fluctuation part of n _H ≤ n; among them,

The power absorbed by the battery is

The power absorbed by the supercapacitor is

The power absorbed by the system itself is .

Among them, the present invention decomposes the reference power of the energy storage system into three components: low frequency, intermediate frequency and high frequency. Therefore, it needs to depend on the preset values of the first frequency dividing point n _L and the second frequency dividing point n _H , which The energy storage system reference power is decomposed into three different components.

Preferably, the model for establishing the annual cost of hybrid energy storage may include:

Obtain the relevant parameters of the following costs of the energy storage system: initial investment cost, auxiliary equipment cost, operation and maintenance cost and recovery value; and

Based on the relevant parameters of all costs obtained, the following model of the annual value of hybrid energy storage costs is established:

C _HEsS =C _ini +C _sup +C _fix -C _rec -Br _;

Among them, C _ini is the initial investment cost; C _sup is the auxiliary equipment cost; C _fix is the operation and maintenance cost; C _rec is the recovery value of energy storage; B _r is the reserve capacity benefit.

Specifically, all calculation formulas are as follows:

Initial investment cost:

C _ini =C _e E _rate +C _P P _rate ;

In the formula, C _ini is the installation cost of energy storage, that is, the initial investment cost; C _e is the unit capacity price of energy storage, E _rate is the rated capacity of energy storage; C _P is the unit power price of energy storage; P _rate is energy storage rated power.

Auxiliary equipment cost:

C _sup =C _p P _rate or C _sup =C _e E _rate ;

In the formula, C _sup is the auxiliary equipment cost of energy storage; C _p is the unit power price of the auxiliary equipment; C _e is the unit capacity price of the auxiliary equipment.

Operation and maintenance cost:

C _fix =C _pfix P _rate ;

In the formula: C _fix is the fixed operation and maintenance cost of energy storage; C _pfix is the unit power price of the fixed operation and maintenance cost.

Recovery value:

C _rec =αC _ini

In the formula: C _rec is the recovery value of energy storage; α is the recovery coefficient, the unit is %.

Benefit of reducing spare capacity required by wind farms:

In the formula, P _rd (d) is the wind power rotating reserve capacity on a typical day; _er is the reserve capacity price; D _year is the number of days in the year.

In the present invention, single energy storage and mixed energy storage are selected for optimal configuration analysis. Under the same smoothing effect, the calculation results are shown in Table 1. It can be seen from Table 1: 1. The use of the hybrid energy storage system can reduce the energy storage capacity configuration. The battery energy storage power configuration in the hybrid energy storage is 26.55% lower than that of the single battery energy storage. The power dropped by 15.58%; ② the use of the hybrid energy storage system can reduce the annual comprehensive cost, the annual comprehensive cost of the hybrid energy storage system decreased by 15.29% compared with the single battery energy storage system, and decreased by 21.35% compared with the super capacitor energy storage system.

Table 1

project battery Super capacitor Hybrid energy storage PB/kW 41.73 — 30.65 EB/kW·h 102.28 — 78.66 PC/kW — 35.83 30.25 EC/kW·h — 29.27 12.34 cost/yuan 52329 56359 44329

In addition, the present invention also provides a capacity configuration system for a hybrid energy storage system. As shown in FIG. 3 , the capacity configuration system for the hybrid energy storage system includes:

The energy storage system reference power calculation unit 1 is used to obtain the grid-connected reference power that meets the frequency range standard of the wind power grid-connected standard by using the moving average method, and calculate the energy storage system reference power based on the original wind power and the grid-connected reference power;

The component obtaining unit 2 is used for decomposing the reference power of the energy storage system by using the wavelet packet decomposition method, and obtaining the low frequency component absorbed by the battery, the intermediate frequency component absorbed by the super capacitor and the high frequency component absorbed by the absorption capacity of the energy storage system itself; and

The capacity configuration unit 3 is configured to establish a model of the annual cost value of the hybrid energy storage, and determine the capacity configuration of the energy storage system based on the low frequency component, the intermediate frequency component, the high frequency component and the model of the annual value of the hybrid energy storage cost.

Preferably, the energy storage system reference power calculation unit 1 calculates the energy storage system reference power based on the original wind power and the grid-connected reference power, including:

The energy storage system reference power calculation unit 1 is configured to use the difference between the original wind power and the grid-connected reference power as the energy storage system reference power.

Preferably, the component obtaining unit 2 includes:

其中，Lay≥1；Gn为第Lay层分解的小波包分量，t为时间，t＝t₀+iTs；其中，t₀为初始时间，Ts为采样周期，i为采样点序号；第n个小波包分量由

频频段内的波动组成，F_s为风功率采样频率，Fs＝1/Ts；A wavelet packet decomposition module, configured to perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m=2 ^Lay wavelet packet components

Among them, Lay≥1; Gn is the wavelet packet component decomposed by the layer Lay, t is the time, t=t ₀ +iTs; among them, t ₀ is the initial time, Ts is the sampling period, and i is the sampling point sequence number; The wavelet packet components are given by

The fluctuation composition in the frequency band, F _s is the sampling frequency of wind power, Fs = 1/Ts;

The component absorption module is used to divide the wavelet packet component into a battery that _absorbs the low-frequency power _fluctuation part of n< _nL , a battery that absorbs n The supercapacitor of the intermediate frequency power fluctuation part with _L ≤n≤n _H and the absorption ability of the system itself to absorb the high frequency power fluctuation part of n _H ≤n; wherein,

The power absorbed by the battery is

The power absorbed by the supercapacitor is

The power absorbed by the system itself is .

Preferably, the model used by the capacity configuration unit 3 to establish the annual cost value of the hybrid energy storage includes:

A parameter acquisition module for acquiring the relevant parameters of the following costs of the energy storage system: initial investment cost, auxiliary equipment cost, operation and maintenance cost, and recovery value; and

The model building module is used to build the following model of the annual value of the hybrid energy storage cost based on the relevant parameters of all costs obtained:

C _HEsS =C _ini +C _sup +C _fix -C _rec -Br _;

Among them, C _ini is the initial investment cost; C _sup is the auxiliary equipment cost; C _fix is the operation and maintenance cost; C _rec is the recovery value of energy storage; Br is the reserve capacity benefit.

Wherein, the hybrid energy storage system capacity allocation system has the same distinguishing technical features and technical effects as the hybrid energy storage system capacity allocation method compared to the prior art, which will not be repeated here.

In addition, the present invention also provides a machine-readable storage medium, where instructions are stored on the machine-readable storage medium, the instructions are used to cause a machine to execute the above-mentioned method for configuring the capacity of a hybrid energy storage system.

In addition, the present invention also provides a processor for running a program, wherein when the program is run, the program is used to execute: the capacity configuration method for a hybrid energy storage system as described above.

The hybrid energy storage system capacity configuration system includes a processor and a memory. The above-mentioned energy storage system reference power calculation unit, component acquisition unit, capacity configuration unit, etc. are all stored in the memory as program units, and the processor executes the program stored in the memory. The above program unit to achieve the corresponding function.

The processor includes a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to one or more, and the cost of the hybrid energy storage system required by the adjustment of the kernel parameters can be further reduced to smooth out the fluctuation of wind power and the required hybrid energy storage system.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory (flash RAM), the memory including at least one memory chip.

An embodiment of the present invention provides a storage medium on which a program is stored, and when the program is executed by a processor, the method for configuring the capacity of a hybrid energy storage system is implemented.

An embodiment of the present invention provides a processor for running a program, wherein the method for configuring the capacity of a hybrid energy storage system is executed when the program is running.

An embodiment of the present invention provides a device. The device includes a processor, a memory, and a program stored in the memory and running on the processor. The processor implements the following steps when executing the program: (method right step, exclusive right + slave right). The devices in this article can be servers, PCs, PADs, mobile phones, and so on.

The present application also provides a computer program product that, when executed on a data processing device, is adapted to execute a program initialized with the following method steps: the hybrid energy storage system capacity configuration method shown in FIG. 2 .

As will be appreciated by those skilled in the art, the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

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

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, 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 Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture or apparatus that includes the element.

It will be appreciated by those skilled in the art that the embodiments of the present application may be provided as a method, a system or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The above are merely examples of the present application, and are not intended to limit the present application. Various modifications and variations of this application are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims (10)

1. A capacity configuration method of a hybrid energy storage system is characterized by comprising the following steps:

obtaining grid-connected reference power meeting the frequency range standard of the wind power grid-connected standard by adopting a sliding average method, and calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power;

decomposing the reference power of the energy storage system by adopting a wavelet packet decomposition method to obtain a low-frequency component absorbed by a storage battery, a medium-frequency component absorbed by a super capacitor and a high-frequency component absorbed by the self absorption capacity of the energy storage system; and

and establishing a model of the annual value of the hybrid energy storage cost, and determining the capacity configuration of the energy storage system based on the low-frequency component, the medium-frequency component, the high-frequency component and the model of the annual value of the hybrid energy storage cost.

2. The capacity configuration method of the hybrid energy storage system according to claim 1, wherein the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power comprises:

and taking the difference between the original wind power and the grid-connected reference power as the reference power of the energy storage system.

3. The method of claim 1, wherein decomposing the energy storage system reference power using wavelet packet decomposition comprises:

carrying out Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m-2^LayComponent of wavelet packet

Wherein, Lay is more than or equal to 1; gn is the wavelet packet component of the Lay layer decomposition, t is time, and t is t ═ t₀+ iTs; wherein, t₀The method comprises the following steps of (1) taking initial time, Ts is a sampling period, and i is a sampling point serial number; the nth wavelet packet component of

Composition of fluctuations in frequency band, F_sThe sampling frequency of the wind power is Fs 1/Ts;

using a preset first frequency dividing point n_LAnd a second frequency dividing point n_HDividing the wavelet packet components into respective absorption n<n_LStorage battery of low-frequency power fluctuation part and absorption n_L≤n≤n_HAnd absorption n of the medium frequency power fluctuation part_HThe self-consumption capacity of the system of the high-frequency power fluctuation part less than or equal to n; wherein,

the power absorbed by the accumulator is

The super capacitor absorbs power of

The power absorbed by the system is

4. The capacity configuration method of the hybrid energy storage system according to claim 1, wherein the modeling the annual value of the hybrid energy storage cost comprises:

obtaining relevant parameters of the energy storage system for the following costs: initial investment cost, auxiliary equipment cost, operation maintenance cost and recovery value; and

establishing the following model of the year value of the hybrid energy storage cost based on the acquired relevant parameters of all the costs:

C_HEss＝C_ini+C_sup+C_fix-C_rec-B_r；

wherein, C_iniInitial investment cost; c_supAs an auxiliary equipment cost; c_fixFor operating maintenance costs; c_recThe recovery value for stored energy; b is_rFor spare capacity benefit.

5. A hybrid energy storage system capacity configuration system, characterized in that the hybrid energy storage system capacity configuration system comprises:

the energy storage system reference power calculation unit is used for obtaining grid-connected reference power meeting the frequency range standard of the wind power grid-connected standard by adopting a sliding average method and calculating the energy storage system reference power based on the original wind power and the grid-connected reference power;

the component obtaining unit is used for decomposing the reference power of the energy storage system by adopting a wavelet packet decomposition method to obtain a low-frequency component absorbed by the storage battery, a medium-frequency component absorbed by the super capacitor and a high-frequency component absorbed by the absorption capacity of the energy storage system; and

and the capacity configuration unit is used for establishing a model of the year value of the hybrid energy storage cost and determining the capacity configuration of the energy storage system based on the low-frequency component, the medium-frequency component, the high-frequency component and the model of the year value of the hybrid energy storage cost.

6. The hybrid energy storage system capacity configuration system of claim 5, wherein the energy storage system reference power calculation unit calculating the energy storage system reference power based on the raw wind power and the grid-tied reference power comprises:

and the energy storage system reference power calculation unit is used for taking the difference between the original wind power and the grid-connected reference power as the energy storage system reference power.

7. The hybrid energy storage system capacity configuration system of claim 5, wherein the component obtaining unit comprises:

a wavelet packet decomposition module, configured to perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m 2^LayComponent of wavelet packet

Wherein, Lay is more than or equal to 1; gn is the wavelet packet component of the Lay layer decomposition, t is time, and t is t ═ t₀+ iTs; wherein, t₀The method comprises the following steps of (1) taking initial time, Ts is a sampling period, and i is a sampling point serial number; the nth wavelet packet component of

Composition of fluctuations in frequency band, F_sThe sampling frequency of the wind power is Fs 1/Ts;

a component absorption module for utilizing a preset first frequency division point n_LAnd a second frequency dividing point n_HDividing the wavelet packet components into respective absorption n<n_LStorage battery of low-frequency power fluctuation part and absorption n_L≤n≤n_HAnd absorption n of the medium frequency power fluctuation part_HHigh frequency power wave less than or equal to nThe self-consumption capacity of the system of the moving part; wherein,

the power absorbed by the accumulator is

The super capacitor absorbs power of

The power absorbed by the system is

8. The system of claim 5, wherein the capacity configuration unit is configured to model the annual hybrid energy storage cost value and comprises:

the parameter acquisition module is used for acquiring the relevant parameters of the following cost of the energy storage system: initial investment cost, auxiliary equipment cost, operation maintenance cost and recovery value; and

the model establishing module is used for establishing the following model of the year value of the hybrid energy storage cost based on the acquired relevant parameters of all the costs:

C_HESS＝C_ini+C_sup+C_fix-C_rec-B_r；

wherein, C_iniInitial investment cost; c_supAs an auxiliary equipment cost; c_fixFor operating maintenance costs; c_recThe recovery value for stored energy; b is_rFor spare capacity benefit.

9. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the hybrid energy storage system capacity configuration method of any one of claims 1-4.

10. A processor configured to execute a program, wherein the program is configured to perform: the capacity configuration method of the hybrid energy storage system according to any one of claims 1 to 4.

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