CN107994593A - Composite energy storage power system capacity collocation method and terminal device - Google Patents
Composite energy storage power system capacity collocation method and terminal device Download PDFInfo
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Abstract
The present invention is suitable for distributed generation technology field, more particularly to composite energy storage power system capacity collocation method and terminal device.The described method includes：Theoretical power requirement of the composite energy storage unit under application scenarios is obtained, imports composite energy storage unit；According to the spectral characteristic of the technical and economic peculiarities of composite energy storage unit and theoretical power requirement, frequency separation is determined；The theoretical power requirement of each single energy-storage units in composite energy storage unit is determined according to frequency separation；According to the rated power and rated capacity of single energy-storage units, the life cycle management economic model of composite energy storage unit is established；The optimum capacity proportioning of composite energy storage unit can be determined according to life cycle management economic model.After using the above scheme, the optimum capacity for determining composite energy storage unit according to life cycle management economic model matches, and is no longer based only on empirical analysis, and theoretical property is strong, calculates simple and calculates accurately, there is very high applicability and feasibility.
Description
Technical field
The invention belongs to distributed generation technology field, more particularly to composite energy storage power system capacity collocation method and terminal to set
It is standby.
Background technology
Micro-capacitance sensor is a kind of small-sized area for containing diversified forms new energy, gas turbine, diesel-driven generator, load etc.
Domain power grid.Micro-capacitance sensor solves the problems, such as the grid-connected of distributed new, while more important load can be ensured in power distribution network
Power supply during interruption maintenance, improves the power supply reliability of system, is the development trend of distributed new access power distribution network.Mesh
Before, domestic and international micro-capacitance sensor is in starting and developing stage.
In micro-capacitance sensor, the voltage of micro-capacitance sensor and frequency stabilization are safeguarded using energy-storage system more.Energy-storage system can be put down
Press down the power swing in micro-capacitance sensor, ensure the stable operation of micro-capacitance sensor, while the output power of distributed new can be absorbed,
Solve the installation permeability problems of distributed new.
Multiple elements design energy-storage system is made of energy type energy-storage system and power-type energy-storage system.Energy type energy-storage system
Mainly it is made of energy-storage systems such as lead-acid accumulator, lithium battery, lithium titanate batteries, feature is that stored energy capacitance is higher, discharge and recharge turns
It is less to change number, is mostly thousands of times.Power-type energy-storage system is mainly by super capacitor energy-storage system, flywheel energy storage, compressed air
Energy storage etc. forms, and feature is that stored energy capacitance is smaller, but discharge and recharge conversion times are more, up to hundreds thousand of times.
In micro-capacitance sensor off-grid operation, since power main source is distributed new, distributed new has defeated
The characteristics of it is very fast to go out power conversion, is had a great influence by ambient weather condition, so needing energy-storage system frequently to come into operation.Such as
Using only energy type energy-storage system, then can large effect micro-capacitance sensor economy.So it is adapted to use multiple elements design energy storage system
System, can effectively improve the economy of micro-capacitance sensor.
In the design of multiple elements design energy-storage system, the capacity collocation method of multiple elements design energy-storage system is more important, is
Major issue in micro-capacitance sensor group and micro-capacitance sensor design planning.Energy storage configuration method more commonly used at present mainly has：Difference is mended
Method is filled, analytic approach, economic performance optimization etc. are stabilized in fluctuation.Multiple elements design energy storage system capacity collocation method used at present
Empirical analysis is mostly based on, theoretical property is weaker, calculates complexity, adaptability and feasibility be not strong.
The content of the invention
In view of this, an embodiment of the present invention provides composite energy storage power system capacity collocation method and terminal device, to solve
Used multiple elements design energy storage system capacity collocation method is mostly based on empirical analysis in the prior art, and theoretical property is weaker, meter
The problem of calculation is complicated, adaptability and not strong feasibility.
The first aspect of the embodiment of the present invention provides a kind of composite energy storage power system capacity collocation method, including：
The actual measurement sample data of distributed new unit and load in micro-grid system is obtained, determines composite energy storage unit
Application scenarios；
Theoretical power requirement of the composite energy storage unit under the application scenarios is obtained, imports the composite energy storage list
Member；
According to the spectral characteristic of the technical and economic peculiarities of the composite energy storage unit and the theoretical power requirement, frequency is determined
Rate separation；
The theoretical power requirement of each single energy-storage units in the composite energy storage unit is determined according to the frequency separation；
According to the rated power and rated capacity of single energy-storage units, determine the composite energy storage unit rated power and
Rated capacity；
According to the rated power and rated capacity of the composite energy storage unit, the life-cycle of the composite energy storage unit is established
Cycle economic model；
Using micro-grid system operational objective as constraint, using economic optimum as target, according to the economic mould of the life cycle management
Type determines the optimum capacity proportioning of the composite energy storage unit.
As further technical solution, the technical and economic peculiarities according to the composite energy storage unit and the theory
The spectral characteristic of power demand, determines that frequency separation includes：
Obtain the composite energy storage theory output signal delta P of the composite energy storage unit；
The technical and economic peculiarities of the composite energy storage unit are analyzed, with reference to the composite energy storage theory output signal delta P's
Spectrum signature, determines frequency separation fN.
As further technical solution, the rated power and rated capacity according to single energy-storage units, determines institute
The rated power and rated capacity for stating composite energy storage unit include：
The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage
The technical and economic peculiarities of unit determine frequency separation, calculate the wavelet decomposition number of plies；
According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built；
According to the wavelet decomposition number of plies and the wavelet basis, the high-frequency signal and energy type of power-type energy-storage units are drawn
The low frequency signal of energy-storage units；
Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：
T in formulaHPFor the time constant of high-pass filter,
Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor how Kui
This special sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make
Power；
The P distributed according to powerBESS[n],Wherein, PESS[n] is to discharge
Just, it is the actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampling
The calculated power instruction of point；N represents sampled point；
The actual charge-discharge electric power instruction P of energy storageESSThe maximum of [n] absolute value is filled for the maximum that energy-storage system should possess
Discharge power, maximum charge-discharge electric power are rated power；
After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge
Electric flux：
Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged of energy-storage system
State constraint, can obtain the rated capacity of energy-storage system：
Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge of energy storage
Electrical power.
As further technical solution, the method further includes：
Assessed using the economy of battery energy storage system, determine the boundary frequency of composite energy storage system.
As further technical solution, the spectrum signature of the composite energy storage theory output signal delta P uses discrete Fu
Vertical leaf transformation or wavelet transformation determine.
The second aspect of the embodiment of the present invention provides a kind of composite energy storage power system capacity configuration device, including：
Application scenarios module is determined, for obtaining the actual measurement sample of distributed new unit and load in micro-grid system
Data, determine the application scenarios of composite energy storage unit；
Composite energy storage unit module is imported, for obtaining theoretical work(of the composite energy storage unit under the application scenarios
Rate demand, imports the composite energy storage unit；
Frequency boundary point module is determined, for the technical and economic peculiarities according to the composite energy storage unit and the theoretical work(
The spectral characteristic of rate demand, determines frequency separation；
Theoretical power requirement module is determined, for determining each list in the composite energy storage unit according to the frequency separation
The theoretical power requirement of one energy-storage units；
Determine rated power module, for the rated power and rated capacity according to single energy-storage units, determine described multiple
Close the rated power and rated capacity of energy-storage units；
Life cycle management economic model module is established, for the rated power according to the composite energy storage unit and specified appearance
Amount, establishes the life cycle management economic model of the composite energy storage unit；
Determine optimum capacity match module, for using micro-grid system operational objective for constrain, using economic optimum as target,
The optimum capacity for determining the composite energy storage unit according to the life cycle management economic model matches.
As further technical solution, the definite frequency boundary point module includes：
Obtain the composite energy storage theory output signal delta P of the composite energy storage unit；
The technical and economic peculiarities of the composite energy storage unit are analyzed, with reference to the composite energy storage theory output signal delta P's
Spectrum signature, determines frequency separation fN.
As further technical solution in the definite rated power module is additionally operable to：
The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage
The technical and economic peculiarities of unit determine frequency separation, calculate the wavelet decomposition number of plies；
According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built；
According to the wavelet decomposition number of plies and the wavelet basis, the high-frequency signal and energy type of power-type energy-storage units are drawn
The low frequency signal of energy-storage units；
Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：
T in formulaHPFor the time constant of high-pass filter,
Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor how Kui
This special sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make
Power；
The P distributed according to powerBESS[n],Wherein, PESS[n] is to discharge
Just, it is the actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampling
The calculated power instruction of point；N represents sampled point；
The actual charge-discharge electric power instruction P of energy storageESSThe maximum of [n] absolute value is filled for the maximum that energy-storage system should possess
Discharge power, maximum charge-discharge electric power are rated power；
After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge
Electric flux：
Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged of energy-storage system
State constraint, can obtain the rated capacity of energy-storage system：
Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge of energy storage
Electrical power.
The third aspect of the embodiment of the present invention provides a kind of composite energy storage power system capacity configurating terminal device, including：Bag
Include memory, processor and be stored in the computer program that can be run in the memory and on the processor, it is described
Processor realizes the method such as above-mentioned first aspect when performing the computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer-readable recording medium, including：The computer can
Read storage medium and be stored with computer program, the side such as above-mentioned first aspect is realized when the computer program is executed by processor
Method.
Existing beneficial effect is the embodiment of the present invention compared with prior art：, can be with micro-capacitance sensor after the present embodiment
System operation target is constraint, and using economic optimum as target, composite energy storage unit is determined according to life cycle management economic model
Optimum capacity matches, and is no longer based only on empirical analysis, and theoretical property is strong, calculates simple and calculates accurately, there is very high applicability
And feasibility.
Brief description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the step flow chart for the composite energy storage power system capacity collocation method that the embodiment of the present invention one provides；
Fig. 2 is the structure diagram of composite energy storage power system capacity configuration device provided by Embodiment 2 of the present invention；
Fig. 3 is the structure diagram for the composite energy storage power system capacity configuration device that the embodiment of the present invention three provides；
Fig. 4 is the schematic diagram for the composite energy storage power system capacity configurating terminal device that the embodiment of the present invention four provides；
Fig. 5 is the wavelet decomposition schematic diagram provided in the embodiment of the present invention.
Embodiment
In being described below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that these are specific
The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity
Road and the detailed description of method, in case unnecessary details hinders description of the invention.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment one
As shown in Figure 1, be the step flow chart of composite energy storage power system capacity collocation method provided in an embodiment of the present invention, bag
Include：
Step S101, obtains the actual measurement sample data of distributed new unit and load in micro-grid system, determines multiple
Close the application scenarios of energy-storage units.
Specifically, in micro-grid system, the voltage of micro-capacitance sensor and frequency stabilization, energy storage are safeguarded using energy-storage system more
System can stabilize the power swing in micro-capacitance sensor, ensure the stable operation of micro-grid system, while can absorb distributed new
The output power of the energy, solves the installation permeability problems of distributed new, is determining optimal composite energy storage power system capacity
During configuration, it is necessary first to the actual measurement sample data of distributed new unit and load in micro-grid system is obtained, it is multiple to determine
Close the application scenarios of energy-storage units.
Step S102, obtains theoretical power requirement of the composite energy storage unit under the application scenarios, described in importing
Composite energy storage unit.
Specifically, after the application scenarios of composite energy storage unit are determined, it is possible to which obtaining composite energy storage unit should at this
With the theoretical power requirement under scene, then composite energy storage unit is imported into application scenarios.
Step S103, it is special according to the frequency spectrum of the technical and economic peculiarities of the composite energy storage unit and the theoretical power requirement
Property, determine frequency separation.
Specifically, according to the spectral characteristic of the technical and economic peculiarities of composite energy storage unit and theoretical power requirement, calculate
Go out frequency separation, primarily determine that frequency separation and its approximate range, optimization mesh is up to composite energy storage unit net present value (NPV)
Mark, the present invention solve technical and economic peculiarities using genetic algorithm, first, obtain the sample of the total charge-discharge electric power of hybrid energy-storing
Notebook data, secondly, with the fitness function of mixed energy storage system net present value (NPV) construction genetic algorithm, afterwards to the frequency shown in formula
Scope carries out binary coding, and produces first generation boundary frequency fPPopulation, for each f in first generation populationPIndividual, is adopted
Calculated with following " three-step approach "：1) power distributes, by boundary frequency fPP is determined respectivelyHESSIn PBESSAnd PSC；2) capacity
Calculate, according to PBESSAnd PSCCalculate the capacity of storage battery and ultracapacitor；3) economic evaluation, calculates the capacity hybrid energy-storing
The engineering phase net present value (NPV) of system；Finally, according to each fPIts fitness of the net present value calculation of individual, so far first generation population calculating
Finish, through the heredity between generation, variation, simulation calculation is carried out using above-mentioned three-step approach to all individuals in every generation population, directly
To reaching predetermined algebraically, last generation highest f of population endoadaptation degreePIndividual is the optimal solution of the capacity Optimized model.
Step S104, the theory of each single energy-storage units in the composite energy storage unit is determined according to the frequency separation
Power demand.
Specifically, the theoretical power (horse-power) that can determine that each single energy-storage units in composite energy storage unit according to this frequency separation needs
Ask, repeat the rated power and rated capacity design cycle of single energy-storage units, you can obtain complete energy storage and certain confidence water
The design of composite energy storage rated power and rated capacity under flat.Rated power and rated capacity the design stream of single energy-storage units
Journey determines single energy-storage units to obtain the actual measurement sample data of distributed new unit and load in micro-grid system first
Application scenarios, obtain theoretical power requirement of the single energy-storage units under the application scenarios, import single energy-storage units, then
The rated power of single energy-storage units can be determined according to complete energy storage mode and rated capacity or can also be united according to mathematics
The method of meter establishes the theoretical distributed model contributed of single energy-storage units, and the storage under any level of confidence can be obtained according to this model
Energy rated power, then bring this energy storage rated power into specific application scenarios and analyzed, it can be calculated according to related derivation
The rated capacity of the single energy-storage units of ruler, the energy storage rated power being finally completed under certain confidence level and rated capacity design, its
In, single energy-storage units type includes lithium ion battery, flow battery and lead-acid battery, carries out single type in life cycle management
The econmics comparison of energy-storage units, obtains the single energy storage allocation plan of economic optimum.
Step S105, according to the rated power and rated capacity of single energy-storage units, determines the composite energy storage unit
Rated power and rated capacity.
Specifically, basis in composite energy storage unit is determined according to the rated power according to single energy-storage units and rated capacity
The theoretical power requirement of each single energy-storage units, tries to achieve composite energy storage unit in the composite energy storage unit that frequency separation determines
Rated power and rated capacity.
Step S106, according to the rated power and rated capacity of the composite energy storage unit, establishes the composite energy storage list
The life cycle management economic model of member.
Step S107, using micro-grid system operational objective as constraint, using economic optimum as target, according to the week life-cycle
Phase economic model determines the optimum capacity proportioning of the composite energy storage unit.
Specifically, with a specific example introduction, when micro-grid system is grid-connected, the Energy Management System energy of its own
The energy of enough scheduling input micro-grid systems, to ensure the stable operation of micro-grid system.And during off-grid operation, micro-grid system
Input without external energy, relies primarily on energy-storage system to ensure the stable operation of micro-grid system.Therefore, micro-grid system
Energy type energy storage mainly makes up the excess energy produced in energy vacancy and Absorption and running in micro-grid system operational process, work(
The maximum power fluctuation produced in micro-grid system operational process is mainly stabilized in the energy storage of rate type；
If the starting time of running t0, continuous working period T, at runtime in T, it is allowed to micro-capacitance sensor of micro-grid system group
The system off-network continuous longest run time is T1, it is expected under extreme condition micro-grid system can continue to stable operation it is most long when
Between be T3, then the energy storage of micro-grid system energy type configuration basic step it is as follows：
Step 1：Calculate in T time section, micro-grid system power generation and the unbalanced supply-demand power of load：
Wherein,For photovoltaic generation in micro-grid system t moment active output power,For sub- micro-capacitance sensor
All workload demand power of t moment in system.ΔPi(t) positive and negative and size has can in randomness, with micro-grid system
The power producing characteristics of the renewable sources of energy and the demand characteristics of load are closely related, Δ Pi(t)>, it is necessary to which energy storage is charged when 0, Δ Pi(t)<0
When, it is necessary to energy storage discharge；
Step 2：Calculate the uneven ENERGY E 1 of micro-grid system off-grid operation T1-T3 time cumulations since moment tj：
Meet that energy storage is fully relied under extreme condition provides energy to maintain the requirement of micro-grid system stable operation, it is micro-
Parallel-adder settle-out time T3 under network system extreme condition cannot be more than the off-grid operation time T1 of micro-grid system, otherwise micro- electricity
Net system grid-connected can absorb external energy to be supplemented；When T1 and T3 are fixed, due to the difference of tj, E1 for it is a series of just
Negative value, E1 represent that needing energy storage to discharge provides energy for negative value, and E1 is to need to produce during energy storage Absorption and running on the occasion of expression
Excess energy；
Step 3：Calculate micro-grid system under malfunction and continue parallel-adder settle-out time T3 since the tj+T1-T3 moment,
Need the minimum discharge energy E2 that energy storage is spare：
Step 4：Calculate the minimum discharge energy E3 for needing energy storage to provide and need to store up absorbent minimum rechargeable energy
E4, E1-E2 for micro-grid system since tj off-grid operation and meet under extreme condition under stable operation T3 time requirements, it is necessary to
The energy that energy storage is provided or absorbed, when T1 and T3 are fixed, due to the difference of tj, E1-E2 is a series of positive and negative values, negative value table
Showing needs energy storage to discharge, on the occasion of the excess energy that expression needs to produce during energy storage Absorption and running, energy storage minimum discharge energy
E3 needs to guarantee completely to make up the energy that E1-E2 in operational process is negative value, and minimum rechargeable energy E4 will guarantee
Fully absorb E1-E2 in operational process be on the occasion of energy, therefore the absolute value of its minimum value is to need energy storage to provide most
Small discharge energy E3, its maximum are to need to store up absorbent minimum rechargeable energy E4, are then had：E3=| min (E1-E2)|；
E4=| max (E1-E2)|；
Step 5：The discharging efficiency for considering energy storage is ηdis, charge efficiency ηch, transducer effciency ηinv, calculating needs
The minimum capacity E5 that energy storage provides：
Step 6：Calculate the rated capacity of energy storage minimum.State-of-charge (the SOC of energy type energy storage：state of
Charge bound) is respectivelyWithThe rated capacity of energy storage minimum is：
Step 7：Energy type energy storage rated power is calculated, the power rating requirements of energy type energy storage can be supplemented or inhaled
Micro-grid system is received to run the maximum power vacancy being likely to occur in T time section or be the largest excess power.Normal fortune
During row, the maximum of micro-grid system power shortage or excess power in T time section for imbalance power absolute value most
Big value | Δ Pi(t)|max, under extreme condition, the power of micro-grid system power supply is 0, at this time, micro-grid system maximum power ripple
Move as the peak load value of micro-grid system in T time sectionFrom formula：Consider discharge and recharge effect
Rate and state-of-charge constraint, the rated power of energy type energy storage are：
For energy type energy storage, power-type energy storage can in a short time high-power discharge and recharge so as to giving micro-capacitance sensor system
System is for power support in short-term, to ensure the balance of instantaneous power in micro-grid system.Described in above-mentioned step 7, power-type energy storage
The maximum power for needing to stabilize fluctuatesThen, the rated power of power-type energy storage is：
In actual energy-storage system, energy storage boosts terminal voltage and in terminal voltage by two-way DC/DC variators
The stabilization of output voltage is maintained in the case of change, since the storage electricity that instantaneous power input is exported on energy storage device influences
Less, energy storage device terminal voltage can be considered constant within a short period of time, so instantaneous power fan-out capability is substantially by instantaneous
What current output capability determined, when current-order is without departing from energy storage output current limit value, the response speed of electric current is mainly stored up
Can characteristic and variator input terminal inductance limitation, inductance is bigger, and tank voltage is lower, and the speedup of electric current is slower, i.e. energy storage
Dynamic responding speed is slower.The characteristic of inductance and energy storage body is considered, if energy type energy storage and power-type energy storage keep up with electric current and refer to
The time (i.e. discharge and recharge response time) for making value is respectively t1, t2, when energy type energy storage is not up to current instruction value output, is needed
The ability of power-type energy storage fast charging and discharging is played, at this time, the time that power-type energy storage energy demand maintains is t1-t2, in
The rated capacity for being power-type energy storage is：Thus the rated capacity of power-type energy storage is tried to achieve.
, can be using micro-grid system operational objective as constraint, using economic optimum as target, according to the full longevity after using the above scheme
Life cycle economic model determines the optimum capacity proportioning of composite energy storage unit, is no longer based only on empirical analysis, and theoretical property is strong, meter
Calculate simple and calculate accurately, there is very high applicability and feasibility.
In addition, in a specific example, according to the technical and economic peculiarities of composite energy storage unit and the theoretical power (horse-power) need
The spectral characteristic asked, determines that frequency separation includes：
Composite energy storage theory output the signal delta P, Δ P for obtaining the composite energy storage unit are imbalance power.
The technical and economic peculiarities of the composite energy storage unit are analyzed, with reference to the composite energy storage theory output signal delta P's
Spectrum signature, determines frequency separation fN.
Specifically, according to the technical and economic peculiarities of composite energy storage unit and the frequency spectrum of composite energy storage theory output signal delta P
Feature analyzes composite energy storage unit, draws frequency separation fN.
In addition, in a specific example, the rated power and rated capacity according to single energy-storage units, determines institute
The rated power and rated capacity for stating composite energy storage unit include：
The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage
The technical and economic peculiarities of unit determine frequency separation, calculate the wavelet decomposition number of plies, it is preferred that as shown in figure 5, being three layers of small echo
Decomposition diagram, is three layers by wavelet decomposition.
According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built.
According to the wavelet decomposition number of plies and the wavelet basis, the high-frequency signal and energy type of power-type energy-storage units are drawn
The low frequency signal of energy-storage units.
Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：
T in formulaHPFor the time constant of high-pass filter,
Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor how Kui
This special sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make
Power；
The P distributed according to powerBESS[n],Wherein, PESS[n] is to discharge
Just, it is the actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampling
The calculated power instruction of point；N represents sampled point.
The actual charge-discharge electric power instruction P of energy storageESSThe maximum of [n] absolute value is filled for the maximum that energy-storage system should possess
Discharge power, maximum charge-discharge electric power are rated power.
After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge
Electric flux：
Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged of energy-storage system
State constraint, can obtain the rated capacity of energy-storage system：
Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge of energy storage
Electrical power.
In addition, in a specific example, the method further includes：
Assessed using the economy of battery energy storage system, determine the boundary frequency of composite energy storage system.
In addition, in a specific example, the spectrum signature of the composite energy storage theory output signal delta P uses discrete Fu
Vertical leaf transformation or wavelet transformation determine.
Specifically, frequency domain can be transformed from the time domain to using Discrete Fourier Transform (FFT), its spectrum signature is analyzed,
Δ P signal is decomposed using wavelet transformation.In addition, can also use wavelet transformation, wavelet transformation has good time-frequency office
Portion's characteristic, is highly suitable for the Time-Frequency Analysis to signal, while can also flexibly be carried out at the same time in time domain and frequency domain
Multi-form filtering, the output effect particularly with jump signal are even more to be better than traditional Fourier transform.
Embodiment two
As shown in Fig. 2, be the structure diagram of composite energy storage power system capacity configuration device provided in an embodiment of the present invention, bag
Include：
Application scenarios module 201 is determined, for obtaining the actual measurement of distributed new unit and load in micro-grid system
Sample data, determines the application scenarios of composite energy storage unit；
Composite energy storage unit module 202 is imported, for obtaining reason of the composite energy storage unit under the application scenarios
By power demand, the composite energy storage unit is imported；
Frequency boundary point module 203 is determined, for the technical and economic peculiarities according to the composite energy storage unit and the reason
By the spectral characteristic of power demand, frequency separation is determined；
Theoretical power requirement module 204 is determined, for being determined according to the frequency separation in the composite energy storage unit
The theoretical power requirement of each single energy-storage units；
Determine rated power module 205, for the rated power and rated capacity according to single energy-storage units, determine described
The rated power and rated capacity of composite energy storage unit；
Life cycle management economic model module 206 is established, for the rated power and volume according to the composite energy storage unit
Constant volume, establishes the life cycle management economic model of the composite energy storage unit；
Determine optimum capacity match module 207, for using micro-grid system operational objective for constrain, using economic optimum as mesh
Mark, the optimum capacity for determining the composite energy storage unit according to the life cycle management economic model match.
, can be using micro-grid system operational objective as constraint, using economic optimum as target, according to the full longevity after using the above scheme
Life cycle economic model determines the optimum capacity proportioning of composite energy storage unit, is no longer based only on empirical analysis, and theoretical property is strong, meter
Calculate simple and calculate accurately, there is very high applicability and feasibility.
Embodiment three
As shown in figure 3, be the structure diagram of composite energy storage power system capacity configuration device provided in an embodiment of the present invention, bag
Include：
Application scenarios module 301 is determined, for obtaining the actual measurement of distributed new unit and load in micro-grid system
Sample data, determines the application scenarios of composite energy storage unit；
Composite energy storage unit module 302 is imported, for obtaining reason of the composite energy storage unit under the application scenarios
By power demand, the composite energy storage unit is imported；
Frequency boundary point module 303 is determined, for the technical and economic peculiarities according to the composite energy storage unit and the reason
By the spectral characteristic of power demand, frequency separation is determined；
Theoretical power requirement module 304 is determined, for being determined according to the frequency separation in the composite energy storage unit
The theoretical power requirement of each single energy-storage units；
Determine rated power module 305, for the rated power and rated capacity according to single energy-storage units, determine described
The rated power and rated capacity of composite energy storage unit；
Life cycle management economic model module 306 is established, for the rated power and volume according to the composite energy storage unit
Constant volume, establishes the life cycle management economic model of the composite energy storage unit；
Determine optimum capacity match module 307, for using micro-grid system operational objective for constrain, using economic optimum as mesh
Mark, the optimum capacity for determining the composite energy storage unit according to the life cycle management economic model match.
In addition, in a specific example, determine that frequency boundary point module 303 includes：
Composite energy storage theory output signaling module 308 is obtained, the composite energy storage for obtaining the composite energy storage unit is managed
By output signal delta P；
Frequency boundary point module 309 is determined, for analyzing the technical and economic peculiarities of the composite energy storage unit, with reference to described
The spectrum signature of composite energy storage theory output signal delta P, determines frequency separation fN.
In addition, in another embodiment, determine that frequency boundary point module 303 is additionally operable to obtain the composite energy storage unit
Composite energy storage theory output signal delta P and analyze the technical and economic peculiarities of the composite energy storage unit, with reference to the compound storage
The spectrum signature of the theoretical output signal delta P of energy, determines frequency separation fN.
In addition, in a specific example, determine that rated power module 305 is additionally operable to：
The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage
The technical and economic peculiarities of unit determine frequency separation, calculate the wavelet decomposition number of plies.
According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built；
According to the wavelet decomposition number of plies and the wavelet basis, the high-frequency signal and energy type of power-type energy-storage units are drawn
The low frequency signal of energy-storage units.
Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：
T in formulaHPFor the time constant of high-pass filter,
Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor how Kui
This special sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make
Power.
The P distributed according to powerBESS[n],Wherein, PESS[n] is to discharge
Just, it is the actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampling
The calculated power instruction of point；N represents sampled point.
The actual charge-discharge electric power instruction P of energy storageESSThe maximum of [n] absolute value is filled for the maximum that energy-storage system should possess
Discharge power, maximum charge-discharge electric power are rated power.
After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge
Electric flux：
Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged of energy-storage system
State constraint, can obtain the rated capacity of energy-storage system：
Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge of energy storage
Electrical power.
In addition, in a specific example, described device further includes：
Determine boundary frequency module 310, for being assessed using the economy of battery energy storage system, determine composite energy storage
The boundary frequency of system.
In addition, in a specific example, the spectrum signature of composite energy storage theory output signal delta P uses discrete Fourier
Conversion or wavelet transformation determine.
, can be using micro-grid system operational objective as constraint, using economic optimum as target, according to the full longevity after using the above scheme
Life cycle economic model determines the optimum capacity proportioning of composite energy storage unit, is no longer based only on empirical analysis, and theoretical property is strong, meter
Calculate simple and calculate accurately, there is very high applicability and feasibility.
It is to be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment
Execution sequence should determine that the implementation process without tackling the embodiment of the present invention forms any limit with its function and internal logic
It is fixed.
Example IV
Fig. 4 is the schematic diagram of composite energy storage power system capacity configurating terminal device provided in an embodiment of the present invention, the embodiment
Composite energy storage power system capacity configurating terminal device 4 include：Processor 40, memory 41 and it is stored in the memory 41
And the computer program 42 that can be run on the processor 40, such as composite energy storage power system capacity configurator.The processing
Device 40 realizes the step in above-mentioned each composite energy storage power system capacity collocation method embodiment when performing the computer program 42,
Such as the step 101 shown in Fig. 1 is to 107.Alternatively, the processor 40 realizes above-mentioned each dress when performing the computer program 42
Put the function of each module/unit in embodiment, such as the function of module 201 to 207 shown in Fig. 2.
Exemplary, the computer program 42 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 41, and are performed by the processor 40, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine programmed instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 42 in the composite energy storage power system capacity configurating terminal device 4 is described.It is for example, described
Computer program 42 can be divided into synchronization module, summarizing module, acquisition module, the return module (mould in virtual bench
Block), each module concrete function is as follows：
The composite energy storage power system capacity configurating terminal device 4 can be desktop PC, notebook, palm PC and
The computing devices such as cloud server.The composite energy storage power system capacity configurating terminal device may include, but be not limited only to, processor
40th, memory 41.It will be understood by those skilled in the art that Fig. 4 is only showing for composite energy storage power system capacity configurating terminal device 4
Example, does not form the restriction to composite energy storage power system capacity configurating terminal device 4, can include than illustrating more or fewer portions
Part, either combines some components or different components, such as the composite energy storage power system capacity configurating terminal device can be with
Including input-output equipment, network access equipment, bus etc..
Alleged processor 40 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 41 can be the internal storage unit of the composite energy storage power system capacity configurating terminal device 4, example
Such as the hard disk or memory of composite energy storage power system capacity configurating terminal device 4.The memory 41 can also be the composite energy storage
Match somebody with somebody on the External memory equipment of power system capacity configurating terminal device 4, such as the composite energy storage power system capacity configurating terminal device 4
Standby plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD)
Card, flash card (Flash Card) etc..Further, the memory 41 can also both include the composite energy storage power system capacity
The internal storage unit of configurating terminal device 4 also includes External memory equipment.The memory 41 is used to store the computer
Other programs and data needed for program and the composite energy storage power system capacity configurating terminal device.The memory 41 may be used also
For temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units integrate in a unit, it is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are not limited to the protection domain of the application also only to facilitate mutually distinguish.Said system
The specific work process of middle unit, module, may be referred to the corresponding process in preceding method embodiment, details are not described herein.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in detail or remembers in some embodiment
The part of load, may refer to the associated description of other embodiments.
Those of ordinary skill in the art may realize that each exemplary list described with reference to the embodiments described herein
Member and algorithm steps, can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, application-specific and design constraint depending on technical solution.Professional technician
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, can be with
Realize by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, is only a kind of division of logic function, there can be other dividing mode when actually realizing, such as
Multiple units or component can combine or be desirably integrated into another system, or some features can be ignored, or not perform.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be by some interfaces, device
Or INDIRECT COUPLING or the communication connection of unit, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
In network unit.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated module/unit realized in the form of SFU software functional unit and as independent production marketing or
In use, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer-readable recording medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or some intermediate forms etc..The computer-readable medium
It can include：Any entity or device, recording medium, USB flash disk, mobile hard disk, the magnetic of the computer program code can be carried
Dish, CD, computer storage, read-only storage (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It is it should be noted that described
The content that computer-readable medium includes can carry out appropriate increasing according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in some jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to foregoing reality
Example is applied the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to foregoing each
Technical solution described in embodiment is modified, or carries out equivalent substitution to which part technical characteristic；And these are changed
Or replace, the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical solution, should all
Within protection scope of the present invention.
Claims (10)
- A kind of 1. composite energy storage power system capacity collocation method, it is characterised in that including：The actual measurement sample data of distributed new unit and load in micro-grid system is obtained, determines answering for composite energy storage unit Use scene；Theoretical power requirement of the composite energy storage unit under the application scenarios is obtained, imports the composite energy storage unit；According to the spectral characteristic of the technical and economic peculiarities of the composite energy storage unit and the theoretical power requirement, frequency point is determined Boundary's point；The theoretical power requirement of each single energy-storage units in the composite energy storage unit is determined according to the frequency separation；According to the rated power and rated capacity of single energy-storage units, the rated power of the composite energy storage unit and specified is determined Capacity；According to the rated power and rated capacity of the composite energy storage unit, the life cycle management of the composite energy storage unit is established Economic model；It is true according to the life cycle management economic model using economic optimum as target using micro-grid system operational objective as constraint The optimum capacity proportioning of the fixed composite energy storage unit.
- 2. composite energy storage power system capacity collocation method as claimed in claim 1, it is characterised in that described according to the compound storage The energy technical and economic peculiarities of unit and the spectral characteristic of the theoretical power requirement, determine that frequency separation includes：Obtain the composite energy storage theory output signal delta P of the composite energy storage unit；The technical and economic peculiarities of the composite energy storage unit are analyzed, with reference to the frequency spectrum of the composite energy storage theory output signal delta P Feature, determines frequency separation fN.
- 3. composite energy storage power system capacity collocation method as claimed in claim 1, it is characterised in that described according to single energy storage list The rated power and rated capacity, the rated power and rated capacity for determining the composite energy storage unit of member include：The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage unit Technical and economic peculiarities determine frequency separation, calculate the wavelet decomposition number of plies；According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built；According to the wavelet decomposition number of plies and the wavelet basis, high-frequency signal and the energy type energy storage of power-type energy-storage units are drawn The low frequency signal of unit；Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>S</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>H</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>*</mo> <mfrac> <mrow> <msub> <mi>T</mi> <mrow> <mi>H</mi> <mi>P</mi> </mrow> </msub> <mi>s</mi> </mrow> <mrow> <msub> <mi>T</mi> <mrow> <mi>H</mi> <mi>P</mi> </mrow> </msub> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>B</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>H</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>S</mi> <mi>C</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>T in formulaHPFor the time constant of high-pass filter,0<fP<1/2TS；Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor Nyquist Sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make power；The P distributed according to powerBESS[n],Wherein, PESS[n] just, is to discharge The actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampled point institute The power instruction calculated；N represents sampled point；The actual charge-discharge electric power instruction P of energy storageESSThe maximum discharge and recharge that the maximum of [n] absolute value should possess for energy-storage system Power, maximum charge-discharge electric power are rated power；After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge electric energy Amount：Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged shape of energy-storage system Modal constraint, can obtain the rated capacity of energy-storage system：<mrow> <msubsup> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> <mi>R</mi> </msubsup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> <mo>,</mo> <mi>M</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> <mo>,</mo> <mi>M</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>SOC</mi> <mrow> <mi>M</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>SOC</mi> <mrow> <mi>M</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> <mo>.</mo> </mrow>Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge electric work of energy storage Rate.
- 4. composite energy storage power system capacity collocation method as claimed in claim 1, it is characterised in that further include：Assessed using the economy of battery energy storage system, determine the boundary frequency of composite energy storage system.
- 5. composite energy storage power system capacity collocation method as claimed in claim 2, it is characterised in that the composite energy storage theory goes out The spectrum signature of force signal Δ P is determined using Discrete Fourier Transform or wavelet transformation.
- A kind of 6. composite energy storage power system capacity configuration device, it is characterised in that including：Application scenarios module is determined, for obtaining the actual measurement sample number of distributed new unit and load in micro-grid system According to determining the application scenarios of composite energy storage unit；Composite energy storage unit module is imported, is needed for obtaining theoretical power (horse-power) of the composite energy storage unit under the application scenarios Ask, import the composite energy storage unit；Frequency boundary point module is determined, for the technical and economic peculiarities according to the composite energy storage unit and the theoretical power (horse-power) need The spectral characteristic asked, determines frequency separation；Theoretical power requirement module is determined, for determining each single storage in the composite energy storage unit according to the frequency separation The theoretical power requirement of energy unit；Determine rated power module, for the rated power and rated capacity according to single energy-storage units, determine the compound storage The rated power and rated capacity of energy unit；Life cycle management economic model module is established, for the rated power and rated capacity according to the composite energy storage unit, Establish the life cycle management economic model of the composite energy storage unit；Determine optimum capacity match module, for using micro-grid system operational objective for constrain, using economic optimum as target, according to The life cycle management economic model determines the optimum capacity proportioning of the composite energy storage unit.
- 7. composite energy storage power system capacity configuration device as claimed in claim 6, it is characterised in that the definite frequency separation Module is additionally operable to：Obtain the composite energy storage theory output signal delta P of the composite energy storage unit；The technical and economic peculiarities of the composite energy storage unit are analyzed, with reference to the frequency spectrum of the composite energy storage theory output signal delta P Feature, determines frequency separation fN.
- 8. composite energy storage power system capacity configuration device as claimed in claim 6, it is characterised in that the definite rated power mould Block is additionally operable to：The frequency spectrum of the theoretical power requirement of each single energy-storage units in the composite energy storage unit is analyzed, with reference to composite energy storage unit Technical and economic peculiarities determine frequency separation, calculate the wavelet decomposition number of plies；According to the theoretical power requirement of each single energy-storage units in the composite energy storage unit, wavelet basis is built；According to the wavelet decomposition number of plies and the wavelet basis, high-frequency signal and the energy type energy storage of power-type energy-storage units are drawn The low frequency signal of unit；Hybrid energy-storing power distribution is carried out using high-pass filter, computational methods are as follows：<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>S</mi> <mi>C</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>H</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>*</mo> <mfrac> <mrow> <msub> <mi>T</mi> <mrow> <mi>H</mi> <mi>P</mi> </mrow> </msub> <mi>s</mi> </mrow> <mrow> <msub> <mi>T</mi> <mrow> <mi>H</mi> <mi>P</mi> </mrow> </msub> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>B</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>H</mi> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>S</mi> <mi>C</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>T in formulaHPFor the time constant of high-pass filter,0<fP<1/2TS；Wherein, fPThe boundary frequency of frequency range, T are compensated for two kinds of energy storageSFor the sampling period of sample data, 1/2TSFor Nyquist Sample frequency；PSC is the power that super capacitor gives, and PBESS is the power of lithium battery energy storage battery, and PHESS is to generally refer to make power；The P distributed according to powerBESS[n],Wherein, PESS[n] just, is to discharge The actual charge-discharge electric power instruction of energy storage, ηdAnd ηcThe respectively discharging efficiency and charge efficiency of energy-storage system, for n sampled point institute The power instruction calculated；N represents sampled point；The actual charge-discharge electric power instruction P of energy storageESSThe maximum discharge and recharge that the maximum of [n] absolute value should possess for energy-storage system Power, maximum charge-discharge electric power are rated power；After obtaining the actual charge-discharge electric power instruction of energy-storage system, the energy-storage system for calculating each sampled point in one day adds up charge and discharge electric energy Amount：Energy-storage system adds up maximum in one day, least energy is denoted as E respectivelyESS,MaxAnd EESS,Min, consider the charged shape of energy-storage system Modal constraint, can obtain the rated capacity of energy-storage system：<mrow> <msubsup> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> </mrow> <mi>R</mi> </msubsup> <mo>=</mo> <mfrac> <mrow> <msub> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> <mo>,</mo> <mi>M</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>E</mi> <mrow> <mi>E</mi> <mi>S</mi> <mi>S</mi> <mo>,</mo> <mi>M</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>SOC</mi> <mrow> <mi>M</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>SOC</mi> <mrow> <mi>M</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> <mo>.</mo> </mrow>Wherein, SOCMaxAnd SOCMinThe bound constraint of energy-storage system SOC, P are represented respectivelyESS[n] is the actual charge and discharge electric work of energy storage Rate.
- 9. a kind of composite energy storage power system capacity configurating terminal device, including memory, processor and it is stored in the memory In and the computer program that can run on the processor, it is characterised in that the processor performs the computer program The step of any one of Shi Shixian such as claims 1 to 5 the method.
- 10. a kind of computer-readable recording medium, the computer-readable recording medium storage has computer program, its feature exists In when the computer program is executed by processor the step of realization such as any one of claim 1 to 5 the method.
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