CN113162080A - Capacity configuration method and system for hybrid energy storage system - Google Patents
Capacity configuration method and system for hybrid energy storage system Download PDFInfo
- Publication number
- CN113162080A CN113162080A CN202110439876.6A CN202110439876A CN113162080A CN 113162080 A CN113162080 A CN 113162080A CN 202110439876 A CN202110439876 A CN 202110439876A CN 113162080 A CN113162080 A CN 113162080A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- storage system
- power
- frequency
- reference power
- 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.)
- Pending
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 165
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000010521 absorption reaction Methods 0.000 claims abstract description 31
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 28
- 239000003990 capacitor Substances 0.000 claims abstract description 21
- 238000005070 sampling Methods 0.000 claims description 18
- 238000012423 maintenance Methods 0.000 claims description 15
- 238000011084 recovery Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000008901 benefit Effects 0.000 claims description 7
- 239000000126 substance Substances 0.000 claims description 6
- 230000000087 stabilizing effect Effects 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 10
- 238000012545 processing Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The invention discloses a capacity configuration method of a hybrid energy storage system, which comprises 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 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. The invention fully considers the characteristic of the stabilizing effect of the hybrid energy storage system and can further reduce the fluctuation of stabilizing wind power and the cost of the hybrid energy storage system required by the fluctuation.
Description
Technical Field
The invention relates to the technical field of hybrid energy storage optimal configuration of a power system, in particular to a capacity configuration method and system of a hybrid energy storage system.
Background
Because the output power of the wind power plant has randomness and volatility, large-scale wind power integration can cause impact on a power grid, the safe and reliable operation of the system is influenced, and the system needs to be additionally provided with an additional rotary standby to stabilize the wind power fluctuation. Therefore, many countries set intermittent power supply grid-connected standards, and China also sets relevant regulations to strictly limit the fluctuation range of grid-connected wind power. The energy storage system can realize the space-time translation of electric energy, and the energy storage system arranged on the power generation side can stabilize the wind power fluctuation, reduce the rotating reserve capacity of the system and improve the wind power receiving capacity of a power grid. The energy storage medium is of an energy type and a power type. The energy type is represented by a storage battery, has a large energy density, a small power density and a long response time, and is suitable for processing low-frequency fluctuation power with high energy. The power type is represented by a super capacitor, a flywheel and superconducting magnetic energy storage, has high power density and short response time, can be charged and discharged frequently, but has low energy density, and is suitable for processing high-frequency fluctuation power with low energy. At present, the stabilizing effect aiming at wind power fluctuation is poor, and the cost is higher.
Disclosure of Invention
The capacity configuration method and the system of the hybrid energy storage system fully consider the characteristic of the stabilizing effect of the hybrid energy storage system, and can further reduce the fluctuation of stabilizing wind power and the cost of the hybrid energy storage system required by the fluctuation.
In order to achieve the above object, the present invention provides a capacity configuration method for a hybrid energy storage system, including: 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 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.
Preferably, the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power includes: and taking the difference between the original wind power and the grid-connected reference power as the reference power of the energy storage system.
Preferably, the decomposing the reference power of the energy storage system by using a wavelet packet decomposition method comprises:
carrying out Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m-2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
using a preset first frequency dividing point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHThe self-consumption capacity of the system of the high-frequency power fluctuation part less than or equal to n; wherein the content of the first and second substances,
the power absorbed by the accumulator is
The super capacitor absorbs power of
The power absorbed by the system itself is.
Preferably, the model for establishing the year 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:
CHESs＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniInitial investment cost; csupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; b isrFor spare capacity benefit.
In addition, the invention also provides a capacity configuration system of the hybrid energy storage system, which 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.
Preferably, the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power by the reference power calculating unit of the energy storage system includes:
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.
Preferably, the component obtaining unit includes:
a wavelet packet decomposition module, configured to perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m 2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
a component absorption module for utilizing a preset first frequency division point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHThe self-consumption capacity of the system of the high-frequency power fluctuation part less than or equal to n; wherein the content of the first and second substances,
the power absorbed by the accumulator is
The super capacitor absorbs power of
The power absorbed by the system itself is.
Preferably, the capacity configuration unit is configured to model the annual value of the hybrid energy storage cost, and includes:
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:
CHESS＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniInitial investment cost; csupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; b isrFor spare capacity benefit.
In addition, the present invention also provides a machine-readable storage medium, which stores instructions for causing a machine to execute the above hybrid energy storage system capacity configuration method.
In addition, the present invention also provides a processor for executing a program, wherein the program is executed to perform: the capacity configuration method of the hybrid energy storage system is described above.
According to the technical scheme, on the premise of achieving optimal economy, the hybrid energy storage mode is used for stabilizing power fluctuation of different frequency bands, compared with a single energy storage mode, the requirements of the hybrid energy storage mode on energy storage performance and capacity are reduced, and the annual value of energy storage is low. The invention considers the system absorption capacity, stabilizes the wind power fluctuation in real time by taking the minimum cost annual value in the life cycle of the energy storage system as a target, reduces the requirement on the charge-discharge capacity of the super capacitor in the energy storage configuration process, prolongs the service life of the super capacitor and further improves the energy storage economy.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is an exploded flow diagram of a hybrid energy storage system capacity allocation method of the present invention;
FIG. 2 is a method flow diagram 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 the reference numerals
1 energy storage system reference power calculation unit 2 component obtaining unit
3 capacity allocation unit
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is an exploded flowchart of a capacity allocation method of a hybrid energy storage system according to the present invention, and as shown in fig. 1, the capacity allocation method of the hybrid energy storage system mainly includes performing a running average on an original wind power to obtain a grid-connected reference power satisfying a frequency range standard of a wind power grid-connected standard, and then taking a difference between the grid-connected reference power and the original wind power as an energy storage system reference power; and then, carrying out wavelet packet decomposition on the reference power of the energy storage system to obtain a high-frequency component, a medium-frequency component and a low-frequency component, and then carrying out decomposition to enable the absorption of the storage battery and the super capacitor and the absorption capacity of the energy storage system to be respectively absorbed.
Fig. 2 is a flowchart of a capacity configuration method of a hybrid energy storage system provided by the present invention, and as shown in fig. 2, the capacity configuration method of the hybrid energy storage system includes:
s201, performing sliding average on the original wind power by adopting a sliding average method to obtain grid-connected reference power meeting the frequency range standard of the wind power grid-connected standard, and calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power.
And S202, 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 self absorption capacity of the energy storage system. The wavelet packet decomposition method decomposes the reference power of the energy storage system into three components of low frequency, intermediate frequency and high frequency, different components are stabilized by different components, and the three frequencies are distributed to give full play to the characteristics of different products, so that the stabilizing effect can be better realized.
S203, 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.
Preferably, the calculating the reference power of the energy storage system based on the original wind power and the grid-connected reference power includes: and 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)＝PHESS(t)＝Pw(t)-Pout(t)；
wherein, the Pout(t) is the grid-connected reference power, PWAnd (t) is the original wind power.
Preferably, the step of decomposing the reference power of the energy storage system by using a wavelet packet decomposition method comprises:
carrying out Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m-2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
using a preset first frequency dividing point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHHigh frequency of n or lessThe self-consumption capacity of the system of the power fluctuation part; wherein the content of the first and second substances,
the power absorbed by the accumulator is
The super capacitor absorbs power of
The power absorbed by the system itself is.
The reference power of the energy storage system is decomposed into three components of low frequency, intermediate frequency and high frequency, so that the reference power needs to depend on a preset first frequency division point nLAnd a second frequency dividing point nHWhich decomposes the energy storage system reference power into three different components.
Preferably, the modeling of the hybrid energy storage cost year value may include:
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:
CHEsS＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniInitial investment cost; csupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; b isrFor spare capacity benefit.
Specifically, all the calculation formulas are as follows:
initial investment cost:
Cini＝CeErate+CPPrate；
in the formula, CiniThe installation cost for energy storage, i.e. the initial investment cost; cePrice per unit capacity for stored energy, ErateRated capacity for stored energy; cPA price per power for stored energy; prateIs the rated power of the stored energy.
Cost of auxiliary equipment:
Csup＝CpPrateor Csup＝CeErate；
In the formula, CsupAuxiliary equipment costs for energy storage; cpIs the price per unit power of the auxiliary equipment; ceIs the price per unit capacity of the auxiliary equipment.
The operation and maintenance cost is as follows:
Cfix＝CpfixPrate；
in the formula: cfixFixed operating maintenance costs for energy storage; cpfixPrice per power for fixed operating maintenance costs.
Recovery value:
Crec＝αCini
in the formula: crecThe recovery value for stored energy; alpha is the recovery factor in%.
Reducing the reserve capacity required by the wind farm:
in the formula, Prd(d) Wind power rotating reserve capacity for a typical day; e.g. of the typerA reserve capacity price; dyearThe days of the year.
According to the invention, single energy storage and mixed energy storage are selected for optimal configuration analysis, and under the same stabilizing effect, the calculation result is shown in table 1. As can be seen from table 1: firstly, the energy storage capacity configuration can be reduced by adopting a hybrid energy storage system, the battery energy storage power configuration in the hybrid energy storage is reduced by 26.55 percent relative to the single battery energy storage, and the super capacitor power in the hybrid energy storage is reduced by 15.58 percent relative to the single super capacitor power; secondly, the annual comprehensive cost of the hybrid energy storage system can be reduced by 15.29 percent compared with that of a single cell energy storage system and 21.35 percent compared with that of a super capacitor.
TABLE 1
| Item | Storage 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/dollar | 52329 | 56359 | 44329 |
In addition, the present invention further provides a capacity configuration system of a hybrid energy storage system, as shown in fig. 3, the capacity configuration system of the hybrid energy storage system includes:
the energy storage system reference power calculation unit 1 is used for obtaining grid-connected reference power meeting the frequency range standard of the wind power grid-connected standard by adopting a moving 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 2 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 self absorption capacity of the energy storage system; and
and the capacity configuration unit 3 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.
Preferably, the calculating unit 1 of the reference power of the energy storage system based on the original wind power and the grid-connected reference power comprises:
the energy storage system reference power calculation unit 1 is configured to use a difference between the original wind power and the grid-connected reference power as an energy storage system reference power.
Preferably, the component obtaining unit 2 includes:
a wavelet packet decomposition module, configured to perform Lay layer wavelet packet decomposition on the energy storage reference power signal to obtain m 2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
a component absorption module for utilizing a preset first frequency division point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHThe self-consumption capacity of the system of the high-frequency power fluctuation part less than or equal to n; wherein the content of the first and second substances,
the power absorbed by the accumulator is
The super capacitor absorbs power of
The power absorbed by the system itself is.
Preferably, the capacity configuration unit 3 is configured to model the year value of the hybrid energy storage cost, and includes:
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:
CHEsS＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniTo initial investment costs；CsupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; br is the reserve capacity benefit.
Compared with the prior art, the capacity configuration system of the hybrid energy storage system has the same distinguishing technical features and technical effects as the capacity configuration method of the hybrid energy storage system, and is not described herein again.
In addition, the present invention also provides a machine-readable storage medium having instructions stored thereon for causing a machine to execute the above-mentioned hybrid energy storage system capacity configuration method.
Furthermore, the present invention also provides a processor for executing a program, wherein the program is executed to perform: the capacity configuration method of the hybrid energy storage system is described above.
The capacity configuration system of the hybrid energy storage system comprises a processor and a memory, wherein the reference power calculation unit, the component obtaining unit, the capacity configuration unit and the like of the energy storage system are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the fluctuation of the wind power and the cost of the hybrid energy storage system required by the fluctuation are further reduced by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium, on which a program is stored, and the program, when executed by a processor, implements the capacity configuration method for a hybrid energy storage system.
The embodiment of the invention provides a processor, which is used for running a program, wherein the capacity configuration method of a hybrid energy storage system is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: (method claim step, independent + dependent). The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: the capacity configuration method of the hybrid energy storage system shown in fig. 2.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or 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, and the like) 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 application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, 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 Discs (DVD) or other optical storage, magnetic 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, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or 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, and the like) 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 changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present 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-2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
using a preset first frequency dividing point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHThe self-consumption capacity of the system of the high-frequency power fluctuation part less than or equal to n; wherein the content of the first and second substances,
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:
CHEss＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniInitial investment cost; csupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; b isrFor 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 2LayComponent 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, FsThe sampling frequency of the wind power is Fs 1/Ts;
a component absorption module for utilizing a preset first frequency division point nLAnd a second frequency dividing point nHDividing the wavelet packet components into respective absorption n<nLStorage battery of low-frequency power fluctuation part and absorption nL≤n≤nHAnd absorption n of the medium frequency power fluctuation partHHigh frequency power wave less than or equal to nThe self-consumption capacity of the system of the moving part; wherein the content of the first and second substances,
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:
CHESS＝Cini+Csup+Cfix-Crec-Br；
wherein, CiniInitial investment cost; csupAs an auxiliary equipment cost; cfixFor operating maintenance costs; crecThe recovery value for stored energy; b isrFor 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110439876.6A CN113162080A (en) | 2021-04-23 | 2021-04-23 | Capacity configuration method and system for hybrid energy storage system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110439876.6A CN113162080A (en) | 2021-04-23 | 2021-04-23 | Capacity configuration method and system for hybrid energy storage system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113162080A true CN113162080A (en) | 2021-07-23 |
Family
ID=76869666
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110439876.6A Pending CN113162080A (en) | 2021-04-23 | 2021-04-23 | Capacity configuration method and system for hybrid energy storage system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113162080A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140236883A1 (en) * | 2013-01-24 | 2014-08-21 | Nec Laboratories America, Inc. | Adaptive control of hybrid ultracapacitor-battery storage system for photovoltaic output smoothing |
| CN107947211A (en) * | 2017-12-06 | 2018-04-20 | 国网山东省电力公司济南供电公司 | Using WAVELET PACKET DECOMPOSITION and meter and the isolated island type micro-capacitance sensor energy storage Optimal Configuration Method of frequency response |
| CN109849693A (en) * | 2019-03-11 | 2019-06-07 | 中南大学 | A kind of electric car energy mix management system and its control method based on adaptive wavelet conversion |
| CN110797896A (en) * | 2019-11-28 | 2020-02-14 | 国网江苏电力设计咨询有限公司 | Hybrid energy storage capacity optimal configuration method in micro-grid wind and solar energy storage system |
| 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 |
-
2021
- 2021-04-23 CN CN202110439876.6A patent/CN113162080A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140236883A1 (en) * | 2013-01-24 | 2014-08-21 | Nec Laboratories America, Inc. | Adaptive control of hybrid ultracapacitor-battery storage system for photovoltaic output smoothing |
| CN107947211A (en) * | 2017-12-06 | 2018-04-20 | 国网山东省电力公司济南供电公司 | Using WAVELET PACKET DECOMPOSITION and meter and the isolated island type micro-capacitance sensor energy storage Optimal Configuration Method of frequency response |
| CN109849693A (en) * | 2019-03-11 | 2019-06-07 | 中南大学 | A kind of electric car energy mix management system and its control method based on adaptive wavelet conversion |
| CN110797896A (en) * | 2019-11-28 | 2020-02-14 | 国网江苏电力设计咨询有限公司 | Hybrid energy storage capacity optimal configuration method in micro-grid wind and solar energy storage system |
| 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 |
Non-Patent Citations (2)
| Title |
|---|
| 徐雁飞: "混合储能系统平抑风电场有功功率波动的研究", 《万方》 * |
| 靳雯皓等: "平滑风电功率波动的混合储能系统容量优化配置", 《分布式能源》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106451567B (en) | A kind of method and system that distributed generation resource cluster dynamic divides | |
| WO2023038579A3 (en) | Method and apparatus for calculating carbon intensities, terminal and storage medium | |
| CN110764468A (en) | Method and device for determining operating parameter reference value of thermal power generating unit | |
| CN107994593B (en) | Capacity configuration method of composite energy storage system and terminal equipment | |
| CN103559148B (en) | Scratch-pad storage management method on the sheet of multi-task embedded operation system | |
| CN114240019A (en) | Flexible resource value evaluation method and device suitable for new energy power system | |
| CN115204592A (en) | Electric vehicle cluster adjustability assessment method and system | |
| CN107492903B (en) | Mixed energy storage system capacity optimal configuration method based on statistical model | |
| CN113488995B (en) | Shared energy storage capacity optimal configuration method and device based on energy storage cost | |
| CN113162080A (en) | Capacity configuration method and system for hybrid energy storage system | |
| CN116341883B (en) | Resource coordination method and system for photovoltaic grid-connected switch | |
| CN110707729B (en) | Method and device for analyzing multi-region primary frequency modulation condition and storage medium | |
| CN109823223B (en) | Energy storage capacity configuration method and system of electric vehicle charging station | |
| CN116662844A (en) | Method and device for generating new energy output power typical scene | |
| CN115130842B (en) | Wind-solar-fire integrated base configuration method and device | |
| CN108183497B (en) | Charging station capacity determination method and device | |
| CN116054251A (en) | Wind-storage combined optimization configuration method based on power spectral density | |
| CN115411751A (en) | Hybrid energy storage system scheduling method considering actual regulation and control requirements of power grid | |
| CN113346491A (en) | New energy station power generation output characteristic multidimensional evaluation method and system | |
| CN113690928A (en) | Method and system for improving voltage stability margin of power system containing new energy | |
| CN112651654A (en) | Method and device for calculating outage risk value of small hydropower station under typhoon disaster and storage medium | |
| Yan et al. | A quasi-automated generation control strategy for multiple energy storage systems to optimize low-carbon benefits | |
| CN110707689A (en) | Stability analysis method and device suitable for full-clean energy power generation power grid | |
| CN114301572B (en) | Transmitting terminal, receiving terminal, data frame transmission method thereof and storage medium | |
| Olatunde et al. | Strategic plan analysis for integrating renewable generation to smart grid technologies in Nigeria |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210723 |
|
| RJ01 | Rejection of invention patent application after publication |