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

Complex-network-theory based modularization energy storage system evolution analyzing method Download PDF

Info

Publication number
CN105099785A
CN105099785A CN201510528095.9A CN201510528095A CN105099785A CN 105099785 A CN105099785 A CN 105099785A CN 201510528095 A CN201510528095 A CN 201510528095A CN 105099785 A CN105099785 A CN 105099785A
Authority
CN
China
Prior art keywords
storage system
parallel
modularization energy
evolution
energy
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510528095.9A
Other languages
Chinese (zh)
Other versions
CN105099785B (en
Inventor
陈继忠
王坤洋
李又宁
苏涛
毛海波
闫雪生
胡娟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Original Assignee
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, China Electric Power Research Institute Co Ltd CEPRI filed Critical State Grid Corp of China SGCC
Priority to CN201510528095.9A priority Critical patent/CN105099785B/en
Publication of CN105099785A publication Critical patent/CN105099785A/en
Application granted granted Critical
Publication of CN105099785B publication Critical patent/CN105099785B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

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:
η S - C = N S - C N S P - - - ( 1 )
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:
η P - C = N P - C N P S - - - ( 4 )
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 n ( n - 1 ) 2 - - - ( 5 )
And the summation N of cascaded structure interior joint degree pSbe expressed as:
N P S = m n ( n - 1 ) 2 + n 2 ( m - 1 ) - - - ( 6 ) .
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:
η S - C = N S - C N S P - - - ( 1 )
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:
η P - C = N P - C N P S - - - ( 4 )
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 n ( n - 1 ) 2 - - - ( 5 )
And the summation N of cascaded structure interior joint degree pSbe expressed as:
N P S = m n ( n - 1 ) 2 + n 2 ( m - 1 ) - - - ( 6 ) .
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:
&eta; S - C = N S - C N S P - - - ( 1 )
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:
&eta; P - C = N P - C N P S - - - ( 4 )
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 n ( n - 1 ) 2 - - - ( 5 )
And the summation N of cascaded structure interior joint degree pSbe expressed as:
N P S = m n ( n - 1 ) 2 + n 2 ( m - 1 ) - - - ( 6 ) .
CN201510528095.9A 2015-08-25 2015-08-25 A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory Active CN105099785B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510528095.9A CN105099785B (en) 2015-08-25 2015-08-25 A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510528095.9A CN105099785B (en) 2015-08-25 2015-08-25 A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory

Publications (2)

Publication Number Publication Date
CN105099785A true CN105099785A (en) 2015-11-25
CN105099785B CN105099785B (en) 2019-04-05

Family

ID=54579401

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510528095.9A Active CN105099785B (en) 2015-08-25 2015-08-25 A kind of modularization energy-storage system evolution analysis method based on Complex Networks Theory

Country Status (1)

Country Link
CN (1) CN105099785B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103023155A (en) * 2011-10-15 2013-04-03 上海市电力公司 Modular design method of large-capacity battery energy storage system
US20130271072A1 (en) * 2010-11-02 2013-10-17 Navitas Solutions, Inc. Wireless Battery Area Network For A Smart Battery Management System

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130271072A1 (en) * 2010-11-02 2013-10-17 Navitas Solutions, Inc. Wireless Battery Area Network For A Smart Battery Management System
CN103023155A (en) * 2011-10-15 2013-04-03 上海市电力公司 Modular design method of large-capacity battery energy storage system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄丁顺等: "电池储能系统的动态模型及其控制特性分析", 《电气应用》 *

Also Published As

Publication number Publication date
CN105099785B (en) 2019-04-05

Similar Documents

Publication Publication Date Title
CN103106544B (en) A kind of photovoltaic generation prognoses system based on T-S Fuzzy neutral net
CN109038560B (en) Power distribution network distributed energy storage economy evaluation method and system based on operation strategy
CN104269867B (en) A kind of node power of disturbance transfer distributing equilibrium degree analytical method
CN106154165A (en) The appraisal procedure of a kind of high capacity cell energy-storage system performance and assessment system
CN104077664B (en) Confidence capacity assessment method of energy storage and generation system of wind power
Zhang et al. Application of simulated annealing genetic algorithm-optimized back propagation (BP) neural network in fault diagnosis
CN104537258A (en) Cone optimization modeling method for allowing distributed stored energy to participate in running adjustment of active power distribution network
CN104104081B (en) A kind of uncertain tidal current analysis method of non-iterative based on optimization method
CN103530473A (en) Random production analog method of electric system with large-scale photovoltaic power station
CN103986193B (en) A kind of method that maximum wind grid connection capacity obtains
CN103259289A (en) Method for obtaining available transfer capability of wind power system with DFIG based on optimal power flow
CN107623337A (en) A kind of energy management method for micro-grid
CN105356451A (en) Probability trend calculating method considering large-scale photovoltaic grid-connected power generation system
CN103474989A (en) Network reconstruction method based on sensitivity analysis
CN105427063A (en) Micro-grid scheduling decision method and micro-grid scheduling decision system
CN108830451A (en) A kind of the convergence potential evaluation method and system of user side distributed energy storage
CN104504524A (en) Reliability assessment method and load curtailing method applied to active distribution network
CN109962485A (en) A kind of composite energy storing device addressing constant volume method towards source net lotus close friend interaction
CN107332239B (en) Power transmission and distribution network coordinated planning method based on power distribution network equivalence
CN110323779B (en) Method and system for dynamically aggregating power of distributed power generation and energy storage device
CN115525979B (en) Multi-time scale evaluation method and system for schedulable capacity of active power distribution network
CN107465195B (en) Optimal power flow double-layer iteration method based on micro-grid combined power flow calculation
CN105099785A (en) Complex-network-theory based modularization energy storage system evolution analyzing method
CN105808825A (en) Rolling type stochastic projection integration method suitable for dynamic simulation of active power distribution networks
CN104793107B (en) A kind of power grid cascading fault determination method based on improvement OPA models

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant