CN105653832B - The appraisal procedure and device of the energy-storage units power distribution of energy-accumulating power station - Google Patents
The appraisal procedure and device of the energy-storage units power distribution of energy-accumulating power station Download PDFInfo
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Abstract
The present invention provides the appraisal procedures and device of a kind of energy-storage units power distribution of energy-accumulating power station, wherein this method includes：The battery string formation power energy state SOE degrees of correlation are calculated, according to the power SOE correlation evaluations energy-storage units in the process of running to the power allocation case of each battery string formation；According to the power SOE relatedness computations battery string formation power SOE degree of correlation coefficients of standard deviation, the dispersion degree of energy-storage units each moment battery string formation power SOE degrees of correlation in the process of running is assessed according to the coefficient of standard deviation；Battery string formation power SOE degree of correlation coefficient of standard deviation aggregate-values are calculated according to the coefficient of standard deviation, the trend that energy-storage units change battery string formation power distribution with run time is assessed according to the aggregate-value.The present invention solves the technical issues of power distribution that can not effectively assess battery string formation in the prior art, has reached and has distributed the technique effect effectively assessed to battery power.
Description
Technical field
The present invention relates to the technical field of assessment energy-storage units performance, more particularly to the energy-storage units work(of a kind of energy-accumulating power station
The appraisal procedure and device of rate distribution.
Background technology
As wind-powered electricity generation, photovoltaic engineering are continuously increased, energy storage technology is as inhibiting generation of electricity by new energy fluctuation, intermittent
Effective means is also developed rapidly.Energy-storage units are the base units for forming energy-accumulating power station, and energy-storage units are by multiple electricity
Pond string formation composes in parallel, concrete structure as shown in Figure 1, energy state (SOE) is the most important performance indicator of energy-storage units, by
It is determined by the worst battery string formation of energy state in the SOE of energy-storage units, therefore, battery string formation SOE consistency is assessment energy storage
The important parameter of cell S OE.
Battery string formation SOE consistency has much relations with battery string formation power distribution, if energy-storage units are to battery string formation
Power distribution is reasonable, then the SOE of battery string formation can reach unanimity in operational process, if energy-storage units are to battery string formation power
Unreasonable distribution, then battery string formation SOE differences can constantly increase.Therefore, assessment energy-storage units divide battery string formation power
It grasps energy-storage units operating condition for assessing the SOE of energy-storage units with situation and is of great significance.
However, there is presently no the methods of effective assessment energy-storage units power distribution.
Invention content
It is existing to solve an embodiment of the present invention provides a kind of appraisal procedure of the energy-storage units power distribution of energy-accumulating power station
The technical issues of can not effectively being assessed the power distribution of battery energy storage unit in technology, this method includes：
Battery string formation power-energy state SOE degrees of correlation are calculated, according to the power-SOE correlation evaluation energy-storage units
In the process of running to the power allocation case of each battery string formation；
According to the power-SOE relatedness computations battery string formation power-SOE degree of correlation coefficients of standard deviation, according to the mark
The dispersion degree of quasi- difference coefficient assessment energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running；
Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values are calculated according to the coefficient of standard deviation, according to described
The trend that aggregate-value assessment energy-storage units change battery string formation power distribution with run time.
In one embodiment, calculating the battery string formation power-SOE degrees of correlation includes：
Power-SOE degrees of correlation when charging are calculated according to following formula：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate i-th battery string formation
Charge power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate i-th of battery string formation
Discharge power.
In one embodiment, battery string formation power-SOE degree of correlation coefficients of standard deviation are calculated according to following formula：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-
The SOE degrees of correlation,Indicate battery string formation power-SOE degree of correlation average values.
In one embodiment, battery string formation power-SOE degree of correlation coefficients of standard deviation are calculated according to following formula to add up
Value：
Wherein, m indicates the m moment of energy-storage units operation,Indicate battery string formation power-SOE degree of correlation standard deviations system
Number is in tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
In one embodiment, according to the power-SOE correlation evaluations energy-storage units in the process of running to each battery
The power allocation case of string formation, including：Different battery string formation power-SOE degree of correlation curves are drawn, according to the degree of correlation curve
Energy-storage units are assessed in the process of running to the power allocation case of each battery string formation；
Assessing energy-storage units according to the coefficient of standard deviation, each moment battery string formation power-SOE is related in the process of running
The dispersion degree of degree, including：Battery string formation power-SOE degree of correlation coefficient of standard deviation curves are drawn, according to the coefficient of standard deviation
The dispersion degree of curve assessment energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running；
The trend that energy-storage units change battery string formation power distribution with run time, packet are assessed according to the aggregate-value
It includes：Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-value change trend curves are drawn, are changed according to the aggregate-value
The trend that trend curve assessment battery string formation power distribution changes with run time.
The embodiment of the present invention additionally provides a kind of apparatus for evaluating of the energy-storage units power distribution of energy-accumulating power station, with realization pair
Effective assessment of battery power distribution, the device include：
Degree of correlation determining module, for calculating battery string formation power-energy state SOE degrees of correlation, according to the power-
SOE correlation evaluations energy-storage units are in the process of running to the power allocation case of each battery string formation；
Coefficient of standard deviation determining module, for according to power-SOE relatedness computations battery string formation power-SOE correlations
Coefficient of standard deviation is spent, energy-storage units each moment battery string formation power-SOE in the process of running is assessed according to the coefficient of standard deviation
The dispersion degree of the degree of correlation；
Aggregate-value determining module, for calculating battery string formation power-SOE degree of correlation standard deviations according to the coefficient of standard deviation
Coefficient aggregate-value assesses the trend that energy-storage units change battery string formation power distribution with run time according to the aggregate-value.
In one embodiment, degree of correlation determining module is specifically used for：
Power-SOE degrees of correlation when charging are calculated according to following formula：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate i-th battery string formation
Charge power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate i-th of battery string formation
Discharge power.
In one embodiment, coefficient of standard deviation determining module is specifically used for calculating battery string formation work(according to following formula
Rate-SOE degree of correlation coefficients of standard deviation：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-
The SOE degrees of correlation,Indicate battery string formation power-SOE degree of correlation average values.
In one embodiment, aggregate-value determining module is specifically used for calculating battery string formation power-SOE according to following formula
Degree of correlation coefficient of standard deviation aggregate-value：
Wherein, m indicates the m moment of energy-storage units operation,Indicate battery string formation power-SOE degree of correlation standard deviations system
Number is in tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
In one embodiment, the degree of correlation determining module is specifically used for drawing different battery string formation power-SOE correlations
It writes music line, according to the degree of correlation curve assessment energy-storage units in the process of running to the power allocation case of each battery string formation；
The coefficient of standard deviation determining module is specifically used for being run according to coefficient of standard deviation assessment energy-storage units
The dispersion degree of each moment battery string formation power-SOE degrees of correlation in journey, including：Draw battery string formation power-SOE correlation scales
Quasi- difference coefficient curve, according to the coefficient of standard deviation curve assessment energy-storage units each moment battery string formation work(in the process of running
The dispersion degree of the rate-SOE degrees of correlation；
The aggregate-value determining module is specifically used for assessing energy-storage units to battery string formation power point according to the aggregate-value
With the trend changed with run time, including：The variation of battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values is drawn to become
Power curve assesses the trend that battery string formation power distribution changes with run time according to the aggregate-value change trend curve.
In embodiments of the present invention, by analyzing the battery string formation power-SOE degrees of correlation, energy storage list can effectively be evaluated
Whether member is reasonable to the power distribution of battery string formation, evaluates energy-storage units and battery string formation SOE is maintained to balance in the process of running
Ability, and as run time extends the variation tendency for maintaining battery string formation SOE to balance control ability, realize to battery
Effective assessment of group power distribution, further, the result of assessment for judge energy-storage units health status, control performance and
Operating condition has critically important reference significance.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and is constituted part of this application, not
Constitute limitation of the invention.In the accompanying drawings：
Fig. 1 is the energy-storage units schematic diagram of the embodiment of the present invention；
Fig. 2 is the method flow diagram of the appraisal procedure of the energy-storage units power distribution of the energy-accumulating power station of the embodiment of the present invention；
Fig. 3 is the 6 groups of battery string formation power and SOE curve synoptic diagrams of the embodiment of the present invention；
Fig. 4 is the power-SOE degree of correlation curve synoptic diagrams of 6 groups of battery string formations of the embodiment of the present invention；
Fig. 5 is the battery string formation power-SOE degree of correlation coefficient of standard deviation curve synoptic diagrams of the embodiment of the present invention；
Fig. 6 is the battery string formation power-SOE degree of correlation coefficient of standard deviation change trend curves signal of the embodiment of the present invention
Figure；
Fig. 7 is the structure diagram of the apparatus for evaluating of the energy-storage units power distribution of the energy-accumulating power station of the embodiment of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, right with reference to embodiment and attached drawing
The present invention is described in further details.Here, the exemplary embodiment and its explanation of the present invention be for explaining the present invention, but simultaneously
It is not as a limitation of the invention.
A kind of appraisal procedure of the energy-storage units power distribution of energy-accumulating power station is provided in this example, as shown in Fig. 2, including
Following steps：
Step 201：The battery string formation power-SOE degrees of correlation are calculated, according to the power-SOE correlation evaluation energy-storage units
In the process of running to the power allocation case of each battery string formation；
Step 202：According to the power-SOE relatedness computations battery string formation power-SOE degree of correlation coefficients of standard deviation, root
According to the discrete journey of coefficient of standard deviation assessment energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running
Degree；
Step 203：Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values are calculated according to the coefficient of standard deviation,
The trend that energy-storage units change battery string formation power distribution with run time is assessed according to the aggregate-value.
In the above-described embodiments, by analyzing the battery string formation power-SOE degrees of correlation, energy-storage units can effectively be evaluated
It is whether reasonable to the power distribution of battery string formation, it evaluates energy-storage units and battery string formation SOE is maintained to balance in the process of running
Ability, and as run time extends the variation tendency for maintaining battery string formation SOE to balance control ability, realize to battery pack
Effective assessment of power distribution, further, the result of assessment is for judging energy-storage units health status, control performance and fortune
Market condition has critically important reference significance.
Specifically, in above-mentioned steps 201, power-SOE degrees of correlation when charging can be calculated according to following formula：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate i-th battery string formation
Charge power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate i-th of battery string formation
Discharge power.
Specifically, in above-mentioned steps 202, battery string formation power-SOE degree of correlation standards can be calculated according to following formula
Poor coefficient：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-
The SOE degrees of correlation,Indicate battery string formation power-SOE degree of correlation average values.
Specifically, in above-mentioned steps 203, battery string formation power-SOE degree of correlation standards can be calculated according to following formula
Poor coefficient aggregate-value：
Wherein, m indicates the m moment of energy-storage units operation,Indicate battery string formation power-SOE degree of correlation standard deviations system
Number is in tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
In order to more effectively assess the power allocation case of battery string formation, the mode for drawing curve may be used, because bent
Line observation get up it is more intuitive, such as：Different battery string formation power-SOE degree of correlation curves can be drawn, according to the degree of correlation
The power allocation case of each battery string formation of curve assessment draws battery string formation power-SOE degree of correlation coefficient of standard deviation curves, root
According to the dispersion degree of each moment battery string formation power-SOE degrees of correlation in the coefficient of standard deviation curve assessment operational process；It draws
Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-value change trend curves, according to the aggregate-value change trend curve
The trend that assessment battery string formation power distribution changes with run time.
The appraisal procedure of the energy-storage units power distribution of the present invention is carried out below in conjunction with a specific embodiment specific
Illustrate, it is important to note, however, that the specific embodiment merely to the present invention is better described, is not constituted to the present invention's
Improper restriction.
In this example, pass through and analyze the battery string formation power-SOE degrees of correlation, it is proposed that a kind of energy-storage units power distribution
Appraisal procedure is evaluation energy-storage units to the power control situation of battery string formation, assesses battery string formation SOE consistency, grasps storage
Energy cell S OE and operating status provide a kind of effective method, include mainly：
Step 1：The calculation formula of the battery string formation power-SOE degrees of correlation is first proposed, and depicts different battery string formations
Power-SOE degree of correlation curves assess in operational process energy-storage units to the power allocation case of each battery string formation with this；
Step 2：Then battery string formation power-SOE degree of correlation coefficient of standard deviation calculation formula are proposed, and depict battery
String formation power-SOE degree of correlation coefficient of standard deviation curves, the dispersion degree of the battery string formation power-SOE degrees of correlation is assessed with this；
Step 3：The calculation formula of battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values is finally proposed, and is painted
It has made battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-value change trend curves, energy-storage units is assessed to electricity with this
Pond string formation power distribution with run time situation of change.
The comprehensively and effectively assessment to energy-storage units power allocation case is realized by above three step, below to above-mentioned three
Step is specifically described：
1) assessment of battery string formation power allocation case
The battery string formation power-SOE degrees of correlation refer to：Energy-storage units in the process of running different battery string formation power and its
The degree of correlation of SOE, the index are used to determine whether the power distribution of battery string formation is reasonable, or assessment battery string formation maintains
The ability of SOE balances.Specifically, power-SOE relatedness computations can be carried out with according to the following equation 1 and formula 2, wherein charging
When power-SOE relatedness computations it is as shown in formula 1, power-SOE relatedness computations are as shown in formula 2 when electric discharge：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate i-th battery string formation
Charge power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation.
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate i-th of battery string formation
Discharge power.
It is ideal situation, unsteady flow it can be seen from above-mentioned formula 1 and formula 2 when the power-SOE degrees of correlation are 100%
Device achievees the effect that battery string formation SOE is balanced, when the battery string formation power-SOE degrees of correlation according to battery string formation SOE distribution powers>
When 100%, shows that the battery string formation power distribution is more, the SOE of the battery string formation can be caused bigger than other battery string formations, when this
The battery string formation power-SOE degrees of correlation<When 100%, shows that the battery string formation power distribution is insufficient, the battery string formation can be caused
SOE is smaller than other battery string formations.
By drawing different battery string formation power-SOE degree of correlation curves in operational process, it can be estimated that each in operational process
Whether the power distribution of moment battery string formation is reasonable, or each battery string formation of assessment maintains the ability of SOE balances.
2) battery string formation power-SOE degrees of correlation distribution dispersion degree assessment
Battery string formation power-SOE degrees of correlation coefficient of standard deviation is mainly for assessment of each battery string formation power-SOE degrees of correlation
Dispersion degree, or assessment energy-storage units maintain battery string formation between SOE balance ability, can be in terms of according to the following equation 3
Calculate battery string formation power-SOE degree of correlation coefficients of standard deviation：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-
The SOE degrees of correlation,Indicate battery string formation power-SOE degree of correlation average values.
Battery string formation power-SOE degree of correlation coefficients of standard deviation are smaller it can be seen from formula 3, battery string formation power-SOE
The degree of correlation is more consistent.
By drawing battery string formation power-SOE degree of correlation coefficient of standard deviation curves in operational process, can be used for assessing fortune
The dispersion degree of each moment battery string formation power-SOE degrees of correlation during row, with battery string formation power-SOE degree of correlation curve phases
Than since battery string formation power-SOE degree of correlation coefficients of standard deviation only have a curve, more can intuitively reflect storage
Energy unit maintains the ability of battery string formation SOE balances at each moment.
3) energy-storage units assess battery string formation power distribution variation tendency
Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values can reflect the battery string formation power-SOE degrees of correlation
The trend that changes over time of dispersion degree or energy-storage units maintain the ability that SOE is balanced between battery string formation to become at any time
The trend of change can calculate battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values with according to the following equation 4：
Wherein, m indicates the m moment of energy-storage units operation,Indicate battery string formation power-SOE degree of correlation standard deviations system
Number is in tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
Illustrate energy-storage units power set forth in the present invention by taking the energy-storage units being made of 6 groups of battery string formations as an example below
Distribute appraisal procedure, the power and SOE curve graphs of 6 groups of battery string formations are as shown in Figure 3, wherein battery string formation power -60kW~
Between 50kW, SOE is operated between 60%~80%.
1) battery string formation power allocation case is assessed
Power-SOE the degrees of correlation of 6 groups of battery string formations, 6 groups of batteries of drafting can be obtained by the power and SOE data of Fig. 3
Power-SOE the degrees of correlation curve of string formation is related in tl moment battery string formation power-SOE as shown in figure 4, as seen from Figure 4
Spend poor, each battery string formation power, SOE, power-SOE relevance datas are as shown in table 1 at this time, from table 1 it follows that this
When battery string formation SOE all 70%, but power difference is larger, so the power-SOE degrees of correlation are poor.
Table 1
| Battery pack Series Code number | 1# | 2# | 3# | 4# | 5# | 6# |
| Power (kW) | -21.8 | -21.9 | -13.9 | -13.9 | -14.1 | -16.7 |
| SOE (%) | 71.0 | 70.0 | 71.0 | 69.0 | 72.0 | 70.0 |
| Power-SOE the degrees of correlation (%) | 130.0 | 130.4 | 82.6 | 83.0 | 84.3 | 99.6 |
In conjunction with Fig. 3 as can be seen that the state of tl moment battery string formations is reduced to 0 suddenly by larger charge power, therefore
It will appear the larger situation of power-SOE degree of correlation deviations, illustrate that the energy-storage units maintain battery string formation SOE in chugging
The ability of balance is bad.
2) battery string formation power-SOE degrees of correlation distribution dispersion degree assessment
Battery string formation power-SOE degree of correlation coefficients of standard deviation are calculated according to the data in Fig. 4, are drawn out as shown in Figure 5
Battery string formation power-SOE degree of correlation coefficient of standard deviation curves.As seen from Figure 5, tl moment power-SOE degree of correlation standard deviations
Coefficient is very big, can more intuitively reflect that the moment energy-storage units are bad to battery string formation SOE balanced capacities compared to Fig. 4.
3) energy-storage units assess battery string formation power distribution variation tendency
Data as shown in Figure 5 can calculate battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values, thus
Draw out battery string formation power-SOE degree of correlation coefficient of standard deviation change trend curves as shown in FIG. 6.It can be with from Fig. 5 and Fig. 6
Find out, although tl moment coefficients of standard deviation are very big, its aggregate-value does not significantly increase, illustrates that energy-storage units maintain battery pack
The control ability of string SOE balances does not deteriorate, and the mutation of coefficient of standard deviation is main or caused by chugging.
In this example, by analyzing the battery string formation power-SOE degrees of correlation, energy-storage units can effectively be evaluated to battery pack
Go here and there power distribution it is whether reasonable, assessment energy-storage units maintain in the process of running battery string formation SOE balance ability, and with
Run time extends its variation tendency for maintaining battery string formation SOE balance control abilities, and assessment result is for judging energy-storage units
Health status, control performance and operating condition have important reference significance.
Based on same inventive concept, a kind of energy-storage units power distribution of energy-accumulating power station is additionally provided in the embodiment of the present invention
Apparatus for evaluating, as described in the following examples.Since the apparatus for evaluating solution of the energy-storage units power distribution of energy-accumulating power station is asked
The principle of topic is similar to the appraisal procedure of energy-storage units power distribution of energy-accumulating power station, therefore the energy-storage units power of energy-accumulating power station
The implementation of the apparatus for evaluating of distribution may refer to the implementation of the appraisal procedure of the energy-storage units power distribution of energy-accumulating power station, repetition
Place repeats no more.Used below, the software and/or hardware of predetermined function may be implemented in term " unit " or " module "
Combination.Although device described in following embodiment is preferably realized with software, the group of hardware or software and hardware
The realization of conjunction is also that may and be contemplated.Fig. 7 is commenting for the energy-storage units power distribution of the energy-accumulating power station of the embodiment of the present invention
Estimate a kind of structure diagram of device, as shown in fig. 7, comprises：Degree of correlation determining module 701,702 and of coefficient of standard deviation determining module
Aggregate-value determining module 703 below illustrates the structure.
Degree of correlation determining module 701, for calculating battery string formation power-energy state SOE degrees of correlation, according to the work(
Rate-SOE correlation evaluations energy-storage units are in the process of running to the power allocation case of each battery string formation；
Coefficient of standard deviation determining module 702, for according to the power-SOE relatedness computations battery string formation power-SOE
Degree of correlation coefficient of standard deviation assesses energy-storage units each moment battery string formation work(in the process of running according to the coefficient of standard deviation
The dispersion degree of the rate-SOE degrees of correlation；
Aggregate-value determining module 703, for calculating battery string formation power-SOE correlation scales according to the coefficient of standard deviation
Quasi- difference coefficient aggregate-value assesses energy-storage units according to the aggregate-value and becomes with run time variation to battery string formation power distribution
Gesture.
In one embodiment, degree of correlation determining module 701 is specifically used for：Power-when charging is calculated according to following formula
The SOE degrees of correlation：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate i-th battery string formation
Charge power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate i-th of battery string formation
Discharge power.
In one embodiment, coefficient of standard deviation determining module 702 is specifically used for calculating battery string formation according to following formula
Power-SOE degree of correlation coefficients of standard deviation：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-
The SOE degrees of correlation,Indicate battery string formation power-SOE degree of correlation average values.
In one embodiment, aggregate-value determining module 703 is specifically used for calculating battery string formation power-according to following formula
SOE degree of correlation coefficient of standard deviation aggregate-values：
Wherein, m indicates the m moment of energy-storage units operation,Indicate battery string formation power-SOE degree of correlation standard deviations system
Number is in tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
In one embodiment, the degree of correlation determining module 701 is specifically used for drawing different battery string formation power-SOE
Degree of correlation curve, according to the degree of correlation curve assessment energy-storage units in the process of running to the power distribution feelings of each battery string formation
Condition；Coefficient of standard deviation determining module 702 is specifically used for each in the process of running according to coefficient of standard deviation assessment energy-storage units
The dispersion degree of the moment battery string formation power-SOE degrees of correlation, including：Draw battery string formation power-SOE degree of correlation standard deviations system
Number curve, according to the coefficient of standard deviation curve assessment energy-storage units each moment battery string formation power-SOE phases in the process of running
The dispersion degree of Guan Du；Aggregate-value determining module 703 is specifically used for assessing energy-storage units to battery string formation according to the aggregate-value
The trend that power distribution changes with run time, including：Draw battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values
Change trend curve assesses battery string formation power distribution according to the aggregate-value change trend curve and becomes with what run time changed
Gesture.
In another embodiment, a kind of software is additionally provided, the software is for executing above-described embodiment and preferred reality
Apply the technical solution described in mode.
In another embodiment, a kind of storage medium is additionally provided, above-mentioned software is stored in the storage medium, it should
Storage medium includes but not limited to：CD, floppy disk, hard disk, scratch pad memory etc..
It can be seen from the above description that the embodiment of the present invention realizes following technique effect：By analyzing battery pack
Go here and there the power-SOE degrees of correlation, whether to the power distribution of battery string formation reasonable, evaluate storage if can effectively evaluate energy-storage units
Energy unit maintains the ability that battery string formation SOE is balanced in the process of running, and maintains battery string formation as run time extends
SOE balances the variation tendency of control ability, realizes the effective assessment distributed battery power, further, the knot of assessment
Fruit is for judging that energy-storage units health status, control performance and operating condition have critically important reference significance.
Obviously, those skilled in the art should be understood that each module of the above-mentioned embodiment of the present invention or each step can be with
It is realized with general computing device, they can be concentrated on a single computing device, or be distributed in multiple computing devices
On the network formed, optionally, they can be realized with the program code that computing device can perform, it is thus possible to by it
Store and be performed by computing device in the storage device, and in some cases, can be to be held different from sequence herein
The shown or described step of row, either they are fabricated to each integrated circuit modules or will be multiple in them
Module or step are fabricated to single integrated circuit module to realize.In this way, the embodiment of the present invention be not limited to it is any specific hard
Part and software combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made by
Any modification, equivalent substitution, improvement and etc. should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of appraisal procedure of the energy-storage units power distribution of energy-accumulating power station, which is characterized in that including：
Battery string formation power-energy state SOE degrees of correlation are calculated, are being transported according to the power-SOE correlation evaluations energy-storage units
To the power allocation case of each battery string formation during row；
According to the power-SOE relatedness computations battery string formation power-SOE degree of correlation coefficients of standard deviation, according to the standard deviation
Coefficient assesses the dispersion degree of energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running；
Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values are calculated according to the coefficient of standard deviation, according to described accumulative
The trend that value assessment energy-storage units change battery string formation power distribution with run time.
2. the method as described in claim 1, which is characterized in that calculating the battery string formation power-SOE degrees of correlation includes：
Power-SOE degrees of correlation when charging are calculated according to following formula：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate the charging of i-th of battery string formation
Power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate putting for i-th battery string formation
Electrical power.
3. method as claimed in claim 2, which is characterized in that calculate the battery string formation power-SOE degrees of correlation according to following formula
Coefficient of standard deviation：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-SOE
The degree of correlation,Indicate battery string formation power-SOE degree of correlation average values.
4. method as claimed in claim 3, which is characterized in that calculate the battery string formation power-SOE degrees of correlation according to following formula
Coefficient of standard deviation aggregate-value：
Wherein, m indicates the m moment of energy-storage units operation,Indicate that battery string formation power-SOE degree of correlation coefficients of standard deviation exist
tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
5. method according to any one of claims 1 to 4, it is characterised in that：
According to the power-SOE correlation evaluations energy-storage units in the process of running to the power allocation case of each battery string formation,
Including：Different battery string formation power-SOE degree of correlation curves are drawn, are being run according to the degree of correlation curve assessment energy-storage units
In the process to the power allocation case of each battery string formation；
Energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running are assessed according to the coefficient of standard deviation
Dispersion degree, including：Battery string formation power-SOE degree of correlation coefficient of standard deviation curves are drawn, according to the coefficient of standard deviation curve
Assess the dispersion degree of energy-storage units each moment battery string formation power-SOE degrees of correlation in the process of running；
The trend that energy-storage units change battery string formation power distribution with run time is assessed according to the aggregate-value, including：It paints
Battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-value change trend curves processed, according to aggregate-value variation tendency song
The trend that line assessment battery string formation power distribution changes with run time.
6. a kind of apparatus for evaluating of the energy-storage units power distribution of energy-accumulating power station, which is characterized in that including：
Degree of correlation determining module, for calculating battery string formation power-energy state SOE degrees of correlation, according to the power-SOE phases
Guan Du assesses energy-storage units in the process of running to the power allocation case of each battery string formation；
Coefficient of standard deviation determining module, for according to the power-SOE relatedness computations battery string formation power-SOE correlation scales
Quasi- difference coefficient, assessing energy-storage units according to the coefficient of standard deviation, each moment battery string formation power-SOE is related in the process of running
The dispersion degree of degree；
Aggregate-value determining module, for calculating battery string formation power-SOE degree of correlation coefficients of standard deviation according to the coefficient of standard deviation
Aggregate-value assesses the trend that energy-storage units change battery string formation power distribution with run time according to the aggregate-value.
7. device as claimed in claim 6, which is characterized in that the degree of correlation determining module is specifically used for：
Power-SOE degrees of correlation when charging are calculated according to following formula：
Wherein, γichIndicate i-th of battery string formation power-SOE degree of correlation when charging, PchiIndicate the charging of i-th of battery string formation
Power, SOEiIndicate that the SOE of i-th of battery string formation, n indicate the group number of battery string formation；
Power-SOE degrees of correlation when discharging are calculated according to following formula：
Wherein, γidisIndicate i-th of battery string formation power-SOE degree of correlation when electric discharge, PdisiIndicate putting for i-th battery string formation
Electrical power.
8. device as claimed in claim 7, which is characterized in that the coefficient of standard deviation determining module is specifically used for according to following
Formula calculates battery string formation power-SOE degree of correlation coefficients of standard deviation：
Wherein, γδIndicate battery string formation power-SOE degree of correlation coefficients of standard deviation, γjIndicate j-th of battery string formation power-SOE
The degree of correlation,Indicate battery string formation power-SOE degree of correlation average values.
9. device as claimed in claim 8, which is characterized in that the aggregate-value determining module is specifically used for according to following formula
Calculate battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values：
Wherein, m indicates the m moment of energy-storage units operation,Indicate that battery string formation power-SOE degree of correlation coefficients of standard deviation exist
tkThe value at moment,Indicate battery string formation power-SOE degree of correlation coefficients of standard deviation in tmThe aggregate-value at moment.
10. the device as described in any one of claim 6 to 9, it is characterised in that：
The degree of correlation determining module is specifically used for drawing different battery string formation power-SOE degree of correlation curves, according to the correlation
Curve assessment energy-storage units are spent in the process of running to the power allocation case of each battery string formation；
The coefficient of standard deviation determining module is specifically used for assessing energy-storage units in the process of running according to the coefficient of standard deviation
The dispersion degree of each moment battery string formation power-SOE degrees of correlation, including：Draw battery string formation power-SOE degree of correlation standard deviations
Coefficient curve, according to the coefficient of standard deviation curve assessment energy-storage units each moment battery string formation power-SOE in the process of running
The dispersion degree of the degree of correlation；
The aggregate-value determining module be specifically used for according to the aggregate-value assess energy-storage units to battery string formation power distribution with
The trend of run time variation, including：It is bent to draw battery string formation power-SOE degree of correlation coefficient of standard deviation aggregate-values variation tendency
Line assesses the trend that battery string formation power distribution changes with run time according to the aggregate-value change trend curve.
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