CN105099785B - A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory - Google Patents
A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory Download PDFInfo
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Abstract
The present invention provides a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, object in modularization energy-storage system is abstracted as the node in modularization energy-storage system network model, interaction in modularization energy-storage system between object is abstracted as the company side between network node, using two subnetwork model building module energy-storage system network models, the physical significance of modularization energy-storage system network model is clear, is easy to engineering staff's operation and realizes；For under conditions of total monomer battery node quantity is constant, modularization energy-storage system has voltage responsive ability (cascaded structure), two kinds of current-responsive ability (parallel-connection structure) basic evolution modes, define Evolution Evaluation index, it can effectively find evolution of system structure rule, the reason of influencing modularization energy-storage system structure evolution and key factor are disclosed, targetedly to propose that modularization energy-storage system optimization design provides scientific basis.
Description
Technical field
The invention belongs to electric system energy-storage battery technical fields, and in particular to a kind of module based on Complex Networks Theory
Change energy-storage system evolution analysis method.
Background technique
Energy storage technology is one of the key technology for improving imbalance between power supply and demand and realizing energy sustainable development.All kinds of electrifications
Learning battery energy storage technology is the modularization energy storage system that meets actual demand and must be composed in series and parallel using several battery modules
System.The structure of modularization energy-storage system includes: basic constitution element (the battery cell connection mutual with it), basic element group
At branch of a network (series-parallel branch), the sub-network (minimal network unit for meeting actual requirement) and more that constitutes of multilayer branch
The energy-storage system (the multiple sub-network systems for meeting workload demand) that a sub-network is constituted.In the item that total battery cell quantity is constant
Under part, modularization energy-storage system network has two kinds of voltage responsive ability (cascaded structure), current-responsive ability (parallel-connection structure) bases
This evolution mode.Pass when component units (battery cell) quantity in modularization energy-storage system is larger, between component units
Coefficient amount (series-parallel scheme) is in accelerated growth trend, and the complexity of phylogeny increases therewith.
Complex Networks Theory is used to study the system by various mechanism controls and dynamic change.For in total battery node number
Measure it is constant under conditions of, modularization energy-storage system network has voltage responsive ability (cascaded structure), current-responsive ability (and to be coupled
Structure) two kinds of basic evolution modes, the design experiences of modularization energy-storage system real example and the theoretical research result of systematic science are used for reference,
Modularization energy-storage system network evolution model is constructed, is referred to using complex network essential characteristic parameter and the evaluation of modularization energy-storage system
Mark, for meeting the different designs type of different application, grid Evolution is analyzed in realization, is carried out to phase
The evaluation of design is answered, proposes the scheme of modularization energy-storage system optimization design, the improvement of guiding device design and performance has
Important realistic meaning.
The existing complication system network structure EVOLUTION ANALYSIS based on Complex Networks Theory is not apparent from evaluation method to be related to
Carry out modularization energy-storage system network knot to by the building of modularization energy-storage system network model, evolution mode and evaluation index etc.
Structure EVOLUTION ANALYSIS and evaluation.
Summary of the invention
In order to simple, accurate, targeted analysis module energy-storage system structure evolution, present invention offer is based on
The modularization energy-storage system evolution analysis method of Complex Networks Theory obtains modularization energy-storage system single battery quantity and topology
Structure, and use two subnetwork model construction module energy-storage system network models；Calculate the modularization under different evolutionary patterns
The Evolution Evaluation index of energy-storage system finally carries out EVOLUTION ANALYSIS to modularization energy-storage system according to Evolution Evaluation index.
In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical scheme that:
The present invention provides a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, the method packet
Include following steps:
Step 1: obtaining modularization energy-storage system single battery quantity and topological structure；
Step 2: using two subnetwork model construction module energy-storage system network models；
Step 3: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.
In the step 2, the node type in modularization energy-storage system network model includes single battery node and monomer
The connection relationship of tie point node between battery, single battery node is respectively connected to adjacent company as even side, single battery node
Contact node, there is no even sides between similar node；Single battery node and tie point node are sequentially connected composition series mould set, even
While the more than two single battery nodes for being respectively connected to adjacent tie point node constitute and gang mould group, series mould set and and gang mould group
Through parallel/serial composition modularization energy-storage system network model.
Under conditions of total single battery number of nodes is constant, evolutionary pattern includes that the first evolutionary pattern and second develop
Mode；
First evolutionary pattern refers to be developed by the series connection multiplication of series mould set, the electricity of expansion module energy-storage system
Press grade；
Second evolutionary pattern refers to be developed by the multiplication in parallel of simultaneously gang mould group, the electricity of expansion module energy-storage system
Flow grade.
In the step 3 the following steps are included:
Step 3-1: the Evolution Evaluation index of the modularization energy-storage system under different evolutionary patterns is calculated；
Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.
In the step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure
The coefficient of coup, cascaded structure coefficient of coup ηS-PIt indicates, has:
Wherein, NS-CIndicate the summation spent between series mould set interior nodes, NSPIndicate the summation of series and parallel structure interior joint degree；
For the first series mould set in series of m single battery, the series and parallel structure of n series mould set parallel connection later, string
The summation N spent between gang mould group interior nodesS-CIt indicates are as follows:
NS-C=n (m-1) (2)
The summation N of series and parallel structure interior joint degreeSPIt indicates are as follows:
NSP=n (m-1)+n (n-1) (3).
In the step 3-1, under the second evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is parallel-connection structure
The coefficient of coup, parallel-connection structure coefficient of coup ηP-CIt indicates, has:
Wherein, NP-CThe summation for indicating and being spent between gang mould group interior nodes, NPSIndicate the summation of simultaneously cascaded structure interior joint degree；
It is first in parallel for n single battery to constitute and gang mould group, m and gang mould group is concatenated and cascaded structure later, and
The summation N spent between series mould set interior nodesP-CIt indicates are as follows:
And the summation N of cascaded structure interior joint degreePSIt indicates are as follows:
Compared with prior art, the beneficial effects of the present invention are:
Object in modularization energy-storage system is abstracted as the node in modularization energy-storage system network model, modularization
Interaction in energy-storage system between object is abstracted as the company side between network node, is stored up using two subnetwork model building moduleizations
Energy grid model, the physical significance of modularization energy-storage system network model is clear, is easy to engineering staff's operation and realizes；Needle
To under conditions of total monomer battery node quantity is constant, modularization energy-storage system has voltage responsive ability (cascaded structure), electricity
Responding ability (parallel-connection structure) two kinds of basic evolution modes of stream define Evolution Evaluation index, can effectively find that system structure is drilled
Law discloses the reason of influencing modularization energy-storage system structure evolution and key factor, targetedly to propose modularization
Energy-storage system optimization design provides scientific basis.
Detailed description of the invention
Fig. 1 is the modularization energy-storage system evolution analysis method process in the embodiment of the present invention based on Complex Networks Theory
Figure.
Fig. 2 is the distribution map of the cascaded structure coefficient of coup and the parallel-connection structure coefficient of coup in the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
The present invention provides a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, and such as Fig. 1 is described
Method the following steps are included:
Step 1: obtaining modularization energy-storage system single battery quantity and topological structure；
Step 2: using two subnetwork model construction module energy-storage system network models；
Step 3: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.
In the step 2, the node type in modularization energy-storage system network model includes single battery node and monomer
The connection relationship of tie point node between battery, single battery node is respectively connected to adjacent company as even side, single battery node
Contact node, there is no even sides between similar node；Single battery node and tie point node are sequentially connected composition series mould set, even
While the more than two single battery nodes for being respectively connected to adjacent tie point node constitute and gang mould group, series mould set and and gang mould group
Through parallel/serial composition modularization energy-storage system network model.
Under conditions of total single battery number of nodes is constant, evolutionary pattern includes that the first evolutionary pattern and second develop
Mode；
First evolutionary pattern refers to be developed by the series connection multiplication of series mould set, the electricity of expansion module energy-storage system
Press grade；
Second evolutionary pattern refers to be developed by the multiplication in parallel of simultaneously gang mould group, the electricity of expansion module energy-storage system
Flow grade.
In the step 3 the following steps are included:
Step 3-1: the Evolution Evaluation index of the modularization energy-storage system under different evolutionary patterns is calculated；
Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.
In the step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure
The coefficient of coup, cascaded structure coefficient of coup ηS-CIt indicates, has:
Wherein, NS-CIndicate the summation spent between series mould set interior nodes, NSPIndicate the summation of series and parallel structure interior joint degree；
For the first series mould set in series of m single battery, the series and parallel structure of n series mould set parallel connection later, string
The summation N spent between gang mould group interior nodesS-CIt indicates are as follows:
NS-C=n (m-1) (2)
The summation N of series and parallel structure interior joint degreeSPIt indicates are as follows:
NSP=n (m-1)+n (n-1) (3).
In the step 3-1, under the second evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is parallel-connection structure
The coefficient of coup, parallel-connection structure coefficient of coup ηP-CIt indicates, has:
Wherein, NP-CThe summation for indicating and being spent between gang mould group interior nodes, NPSIndicate the summation of simultaneously cascaded structure interior joint degree；
It is first in parallel for n single battery to constitute and gang mould group, m and gang mould group is concatenated and cascaded structure later, and
The summation N spent between series mould set interior nodesP-CIt indicates are as follows:
And the summation N of cascaded structure interior joint degreePSIt indicates are as follows:
The present invention is based on the serial/parallel gang mould groups of minimum that 2,3 and 5 battery nodes are constituted, and construct 512,729 and 625 respectively
The mSnP of a battery node is in series and parallel and the overall network structure of nPmS simultaneously series system.By taking 512 battery nodes as an example:
MSnP series-parallel system: 512S1P, 256S2P, 128S4P ... 4S128P, 2S256P；
NPmS and series system: 512P1S, 256P2S, 128P4S ... 4P128S, 2P256S；
Calculate the cascaded structure coefficient of coup and parallel-connection structure coupling of 512,729 and 625 battery node overall network structures
Collaboration number, the distribution of series/parallel structure Coupling coefficient are as shown in Figure 2.
It is far small in the quantity at the initial stage extended by minimum series mould set, series coupled relationship in mSnP series-parallel system
In the quantity of parallel coupled relationship, but with the multiplication of series-connected cell mould group quantity (voltage class), ηS-CIt is in add in the section m < n
Fast growth trend；In m ≈ n, ηS-C≈ 0.5, series-parallel coupled relation quantity are approximately equal；As m > n, ηS-CGrowth trend becomes
Slow, network structure extends relatively stable with voltage responsive ability.In nPmS and series system, with batteries in parallel connection quantity (electricity
Flow grade) multiplication ηP-CGrowth trend is relatively gentle, and parallel coupled relationship synchronizes linear increasing with batteries in parallel connection mould group quantity
It is long.
The interpretation of result of above steps shows that the method for the present invention effectively can carry out network knot to modularization energy-storage system
Structure EVOLUTION ANALYSIS and evaluation, under conditions of total battery node quantity is constant, quantitatively giving series/parallel connection type is being
Shared weight during system structure evolution can be the voltage responsive ability and current-responsive of improvement modularization energy-storage system network
Ability provides optimization design foundation.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, institute
The those of ordinary skill in category field can still modify to a specific embodiment of the invention referring to above-described embodiment or
Equivalent replacement, these are applying for this pending hair without departing from any modification of spirit and scope of the invention or equivalent replacement
Within bright claims.
Claims (1)
1. a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, it is characterised in that: the method packet
Include following steps:
Step 1: obtaining modularization energy-storage system single battery quantity and topological structure；
Step 2: using two subnetwork model construction module energy-storage system network models；
Step 3: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index；
In the step 2, the node type in modularization energy-storage system network model includes single battery node and single battery
The connection relationship of tie point node between node, single battery node is respectively connected to adjacent company as even side, single battery node
Contact node, there is no even sides between similar node；Single battery node and tie point node are sequentially connected composition series mould set, even
While the more than two single battery nodes for being respectively connected to adjacent attachment points node constitute and gang mould group；
Under conditions of total single battery number of nodes is constant, evolutionary pattern includes the first evolutionary pattern and the second evolution mould
Formula；
First evolutionary pattern refers to be developed by the series connection multiplication of series mould set, the voltage etc. of expansion module energy-storage system
Grade；
Second evolutionary pattern refers to be developed by the multiplication in parallel of simultaneously gang mould group, the electric current etc. of expansion module energy-storage system
Grade；
In the step 3 the following steps are included:
Step 3-1: the Evolution Evaluation index of the modularization energy-storage system under different evolutionary patterns is calculated；
Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index；
In the step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure coupling
Coefficient, cascaded structure coefficient of coup ηS-CIt indicates, has:
Wherein, NS-CIndicate the summation spent between series mould set interior nodes, NSPIndicate the summation of series and parallel structure interior joint degree；
For the first series mould set in series of m single battery node, the series and parallel structure of n series mould set parallel connection later, string
The summation N spent between gang mould group interior nodesS-CIt indicates are as follows:
NS-C=n (m-1) (2)
The summation N of series and parallel structure interior joint degreeSPIt indicates are as follows:
NSP=n (m-1)+n (n-1) (3)
In the step 3-1, under the second evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is parallel-connection structure coupling
Coefficient, parallel-connection structure coefficient of coup ηP-CIt indicates, has:
Wherein, NP-CThe summation for indicating and being spent between gang mould group interior nodes, NPSIndicate the summation of simultaneously cascaded structure interior joint degree；
It is first in parallel for n single battery node to constitute and gang mould group, m and gang mould group is concatenated and cascaded structure later, and
The summation N spent between gang mould group interior nodesP-CIt indicates are as follows:
And the summation N of cascaded structure interior joint degreePSIt indicates are as follows:
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| 电池储能系统的动态模型及其控制特性分析;黄丁顺等;《电气应用》;20140705;第33卷(第13期);第42-47页 |
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