CN105099785A - Complex-network-theory based modularization energy storage system evolution analyzing method - Google Patents

Abstract

The invention provides a complex-network-theory based modularization energy storage system evolution analyzing method, which abstracts the objects in a modularization energy storage system as a node in a modularization energy storage system network model, abstracts the mutual interaction of objects in a modularization energy storage system as connection of internet nodes, and adopts a bipartite network model to create a modularization energy storage network model to make physical significance of the modularization energy storage network model clear and to make the modularization energy storage network model easy to operate. Under the condition that the overall number of rechargeable battery nodes remains unchanged, a modularization energy storage system has two basic evolution manners: voltage responding capacity (series structure) and voltage responding capacity (parallel structure) to define an evolution assessment index; as a result, the systematic structure evolving rule can be effectively found out; causes and key factors are revealed that influence the systematic structure evolving of a modularization energy storage system so that targeted scientific basis can be given to optimize the design of a modularization energy storage system.

Description

A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory

Technical field

The invention belongs to electric power system energy-storage battery technical field, be specifically related to a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory.

Background technology

Energy storage technology improves one of imbalance between power supply and demand and the key technology realizing energy sustainable development.All kinds of electrochemical cell energy storage technology is the modularization energy-storage system that practical requirement palpus adopts several battery module connection in series-parallel to combine.The structure of modularization energy-storage system comprises: the sub-network (meeting the minimal network unit of actual requirement) that the branch of a network (connection in series-parallel branch road) of basic comprising element (connection that battery cell is mutual with it), basic element composition, multilayer branch road are formed and the energy-storage system (meeting multiple sub-network systems of workload demand) that multiple sub-network is formed.Under the condition that total battery cell quantity is constant, modularization energy-storage system network has voltage response ability (cascaded structure), current response ability (parallel-connection structure) two kinds develops mode substantially.When component units (battery cell) quantity in modularization energy-storage system is larger, the relation quantity (connection in series-parallel scheme) between component units is in accelerated growth trend, and the complexity of phylogeny increases thereupon.

Complex Networks Theory is for studying by various mechanism control and the system of dynamic change.For under the constant condition of total battery node quantity, modularization energy-storage system network has voltage response ability (cascaded structure), current response ability (parallel-connection structure) two kinds develops mode substantially, use for reference the design experiences of modularization energy-storage system real example and the theoretical research result of systematic science, build modularization energy-storage system network evolution model, utilize complex network essential characteristic parameter and modularization energy-storage system evaluation index, for the different designs type meeting different application occasion, realize analyzing grid Evolution, carry out the evaluation to respective design type, the scheme of modularization energy-storage system optimal design is proposed, guiding device design and improvement in performance have important practical significance.

The existing complication system network configuration EVOLUTION ANALYSIS based on Complex Networks Theory and evaluation method obviously do not relate to built by modularization energy-storage system network model, evolution mode and evaluation index etc. carry out modularization energy-storage system network configuration EVOLUTION ANALYSIS and evaluation.

Summary of the invention

In order to can simply, accurately, analysis module energy-storage system structure evolution targetedly, the invention provides the modularization energy-storage system evolution analysis method based on Complex Networks Theory, acquisition module energy-storage system cell quantity and topological structure, and adopt two subnetwork model construction module energy-storage system network models; Calculate the Evolution Evaluation index of the modularization energy-storage system under different evolutionary pattern, finally according to Evolution Evaluation index, EVOLUTION ANALYSIS is carried out to modularization energy-storage system.

In order to realize foregoing invention object, the present invention takes following technical scheme:

The invention provides a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, said method comprising the steps of:

Step 1: acquisition module energy-storage system cell quantity and topological structure;

Step 2: adopt 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 described step 2, node type in modularization energy-storage system network model comprises the tie point node between cell node and cell, the annexation of cell node is as connecting limit, and cell node accesses adjacent attachment points node respectively, connects limit with not existing between category node; Single battery node and tie point node are connected successively and form series mould set, the two or more cell node that company accesses on limit adjacent tie point node respectively forms module in parallel, and series mould set and module in parallel are through parallel/serial composition module energy-storage system network model.

Under the condition that total cell number of nodes is constant, evolutionary pattern comprises the first evolutionary pattern and the second evolutionary pattern;

Described first evolutionary pattern refers to the series connection multiplication evolution by series mould set, the electric pressure of expanded mode blocking energy-storage system;

Described second evolutionary pattern refers to the parallel connection multiplication evolution by module in parallel, the current class of expanded mode blocking energy-storage system.

Comprise the following steps in described step 3:

Step 3-1: the Evolution Evaluation index calculating the modularization energy-storage system under different evolutionary pattern;

Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.

In described step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure coupling coefficient, cascaded structure coupling coefficient η _s-Prepresent, have:

${\mathrm{\η}}_{S-C}=\frac{N_{S-C}}{N_{SP}}---\left(1\right)$

Wherein, N _s-Crepresent the summation spent between series mould set interior nodes, N _sPrepresent the summation of series parallel structure interior joint degree;

For m cell first series mould set in series, the series parallel structure of n series mould set parallel connection afterwards, the summation N spent between series mould set interior nodes _s-Cbe expressed as:

N _S-C＝n(m-1)(2)

The summation N of series parallel structure interior joint degree _sPbe expressed as:

N _SP＝n(m-1)+n(n-1)(3)。

In described 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 coupling coefficient η _p-Crepresent, have:

${\mathrm{\η}}_{P-C}=\frac{N_{P-C}}{N_{PS}}---\left(4\right)$

Wherein, N _p-Crepresent the summation spent between module interior nodes in parallel, N _pSrepresent and the summation of cascaded structure interior joint degree;

For the first formation in parallel of n cell module in parallel, the also cascaded structure of m module series connection in parallel afterwards, and the summation N spent between series mould set interior nodes _p-Cbe expressed as:

$N_{P-C}=m\frac{n(n-1)}{2}---\left(5\right)$

And the summation N of cascaded structure interior joint degree _pSbe expressed as:

$N_{PS}=m\frac{n(n-1)}{2}+n^2(m-1)---\left(6\right).$

Compared with prior art, beneficial effect of the present invention is:

By abstract for the object in the modularization energy-storage system node become in modularization energy-storage system network model, interaction in modularization energy-storage system between object is abstract is company limit between network node, adopt 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 the constant condition of total monomer battery node quantity, modularization energy-storage system has voltage response ability (cascaded structure), current response ability (parallel-connection structure) two kinds develops mode substantially, definition Evolution Evaluation index, can effectively find evolution of system structure rule, disclosing the reason and the key factor that affect modularization energy-storage system structure evolution, providing scientific basis for proposing modularization energy-storage system optimal design targetedly.

Accompanying drawing explanation

Fig. 1 is the modularization energy-storage system evolution analysis method flow chart based on Complex Networks Theory in the embodiment of the present invention.

Fig. 2 is the distribution map of cascaded structure coupling coefficient and parallel-connection structure coupling coefficient in the embodiment of the present invention.

Embodiment

Below in conjunction with accompanying drawing, the present invention is described in further detail.

The invention provides a kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory, as Fig. 1, said method comprising the steps of:

Step 1: acquisition module energy-storage system cell quantity and topological structure;

Step 2: adopt 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 described step 2, node type in modularization energy-storage system network model comprises the tie point node between cell node and cell, the annexation of cell node is as connecting limit, and cell node accesses adjacent attachment points node respectively, connects limit with not existing between category node; Single battery node and tie point node are connected successively and form series mould set, the two or more cell node that company accesses on limit adjacent tie point node respectively forms module in parallel, and series mould set and module in parallel are through parallel/serial composition module energy-storage system network model.

Under the condition that total cell number of nodes is constant, evolutionary pattern comprises the first evolutionary pattern and the second evolutionary pattern;

Described first evolutionary pattern refers to the series connection multiplication evolution by series mould set, the electric pressure of expanded mode blocking energy-storage system;

Described second evolutionary pattern refers to the parallel connection multiplication evolution by module in parallel, the current class of expanded mode blocking energy-storage system.

Comprise the following steps in described step 3:

Step 3-1: the Evolution Evaluation index calculating the modularization energy-storage system under different evolutionary pattern;

Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.

In described step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure coupling coefficient, cascaded structure coupling coefficient η _s-Crepresent, have:

${\mathrm{\η}}_{S-C}=\frac{N_{S-C}}{N_{SP}}---\left(1\right)$

Wherein, N _s-Crepresent the summation spent between series mould set interior nodes, N _sPrepresent the summation of series parallel structure interior joint degree;

For m cell first series mould set in series, the series parallel structure of n series mould set parallel connection afterwards, the summation N spent between series mould set interior nodes _s-Cbe expressed as:

N _S-C＝n(m-1)(2)

The summation N of series parallel structure interior joint degree _sPbe expressed as:

N _SP＝n(m-1)+n(n-1)(3)。

In described 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 coupling coefficient η _p-Crepresent, have:

${\mathrm{\η}}_{P-C}=\frac{N_{P-C}}{N_{PS}}---\left(4\right)$

Wherein, N _p-Crepresent the summation spent between module interior nodes in parallel, N _pSrepresent and the summation of cascaded structure interior joint degree;

For the first formation in parallel of n cell module in parallel, the also cascaded structure of m module series connection in parallel afterwards, and the summation N spent between series mould set interior nodes _p-Cbe expressed as:

$N_{P-C}=m\frac{n(n-1)}{2}---\left(5\right)$

And the summation N of cascaded structure interior joint degree _pSbe expressed as:

$N_{PS}=m\frac{n(n-1)}{2}+n^2(m-1)---\left(6\right).$

The present invention is based on the minimum series/parallel module that 2,3 and 5 battery node are formed, build the mSnP connection in series-parallel of 512,729 and 625 battery node and nPmS respectively and the overall network structure of series system.For 512 battery node:

MSnP series-parallel system: 512S1P, 256S2P, 128S4P ... 4S128P, 2S256P;

NPmS series system: 512P1S, 256P2S, 128P4S ... 4P128S, 2P256S;

Calculate cascaded structure coupling coefficient and the parallel-connection structure coupling coefficient of 512,729 and 625 battery node overall network structures, the distribution of series/parallel structure Coupling coefficient as shown in Figure 2.

In mSnP series-parallel system, at the initial stage of being expanded by minimum series mould set, the quantity of series coupled relation much smaller than the quantity of parallel coupled relation, but along with the multiplication of series-connected cell module quantity (electric pressure), η _s-Cin m<n interval in accelerated growth trend; When m ≈ n, η _s-C≈ 0.5, connection in series-parallel coupled relation quantity approximately equal; As m>n, η _s-Cgrowth trend slows down, and its network configuration is relatively stable with voltage response Capacity extension.At nPmS and in series system, with the multiplication η of batteries in parallel connection quantity (current class) _p-Cgrowth trend is relatively mild, and parallel coupled relation is along with the synchronous linear growth of batteries in parallel connection module quantity.

The interpretation of result of above steps shows, the inventive method can carry out network configuration EVOLUTION ANALYSIS and evaluation to modularization energy-storage system effectively, under the condition that total battery node quantity is constant, give the weight that series/parallel connected mode is shared in evolution of system structure process quantitatively, can be the voltage response ability of improving modularization energy-storage system network and current response ability provides optimal design foundation.

Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; those of ordinary skill in the field still can modify to the specific embodiment of the present invention with reference to above-described embodiment or equivalent replacement; these do not depart from any amendment of spirit and scope of the invention or equivalent replacement, are all applying within the claims of the present invention awaited the reply.

Claims (6)

1., based on a modularization energy-storage system evolution analysis method for Complex Networks Theory, it is characterized in that: said method comprising the steps of:

Step 1: acquisition module energy-storage system cell quantity and topological structure;

Step 2: adopt 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.

2. the modularization energy-storage system evolution analysis method based on Complex Networks Theory according to claim 1, it is characterized in that: in described step 2, node type in modularization energy-storage system network model comprises the tie point node between cell node and cell, the annexation of cell node is as connecting limit, cell node accesses adjacent attachment points node respectively, connects limit with not existing between category node; Single battery node and tie point node are connected successively and form series mould set, the two or more cell node that company accesses on limit adjacent tie point node respectively forms module in parallel, and series mould set and module in parallel are through parallel/serial composition module energy-storage system network model.

3. the modularization energy-storage system evolution analysis method based on Complex Networks Theory according to claim 2, it is characterized in that: under the condition that total cell number of nodes is constant, evolutionary pattern comprises the first evolutionary pattern and the second evolutionary pattern;

Described first evolutionary pattern refers to the series connection multiplication evolution by series mould set, the electric pressure of expanded mode blocking energy-storage system;

Described second evolutionary pattern refers to the parallel connection multiplication evolution by module in parallel, the current class of expanded mode blocking energy-storage system.

4. the modularization energy-storage system evolution analysis method based on Complex Networks Theory according to claim 3, is characterized in that: comprise the following steps in described step 3:

Step 3-1: the Evolution Evaluation index calculating the modularization energy-storage system under different evolutionary pattern;

Step 3-2: EVOLUTION ANALYSIS is carried out to modularization energy-storage system according to Evolution Evaluation index.

5. the modularization energy-storage system evolution analysis method based on Complex Networks Theory according to claim 4, it is characterized in that: in described step 3-1, under the first evolutionary pattern, the Evolution Evaluation index of modularization energy-storage system is cascaded structure coupling coefficient, cascaded structure coupling coefficient η _s-Crepresent, have:

${\mathrm{\&eta;}}_{S-C}=\frac{N_{S-C}}{N_{SP}}---\left(1\right)$

Wherein, N _s-Crepresent the summation spent between series mould set interior nodes, N _sPrepresent the summation of series parallel structure interior joint degree;

For m cell first series mould set in series, the series parallel structure of n series mould set parallel connection afterwards, the summation N spent between series mould set interior nodes _s-Cbe expressed as:

N _S-C＝n(m-1)(2)

The summation N of series parallel structure interior joint degree _sPbe expressed as:

N _SP＝n(m-1)+n(n-1)(3)。

6. the modularization energy-storage system evolution analysis method based on Complex Networks Theory according to claim 4, it is characterized in that: in described 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 coupling coefficient η _p-Crepresent, have:

${\mathrm{\&eta;}}_{P-C}=\frac{N_{P-C}}{N_{PS}}---\left(4\right)$

Wherein, N _p-Crepresent the summation spent between module interior nodes in parallel, N _pSrepresent and the summation of cascaded structure interior joint degree;

For the first formation in parallel of n cell module in parallel, the also cascaded structure of m module series connection in parallel afterwards, and the summation N spent between series mould set interior nodes _p-Cbe expressed as:

$N_{P-C}=m\frac{n(n-1)}{2}---\left(5\right)$

And the summation N of cascaded structure interior joint degree _pSbe expressed as:

$N_{PS}=m\frac{n(n-1)}{2}+n^2(m-1)---\left(6\right).$