CN107492887A - A kind of region partitioning method and system of wide area energy internet - Google Patents

A kind of region partitioning method and system of wide area energy internet Download PDF

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CN107492887A
CN107492887A CN201710786498.2A CN201710786498A CN107492887A CN 107492887 A CN107492887 A CN 107492887A CN 201710786498 A CN201710786498 A CN 201710786498A CN 107492887 A CN107492887 A CN 107492887A
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energy
router
internet
matrix
eigenmatrix
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CN107492887B (en
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曹军威
杨刚
华昊辰
胡俊峰
谢挺
郭明星
梅东升
陈裕兴
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Beijing Energy Refco Group Ltd
Beijing Zhizhong Energy Internet Research Institute Co Ltd
Tsinghua University
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Beijing Energy Refco Group Ltd
Beijing Zhizhong Energy Internet Research Institute Co Ltd
Tsinghua University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering

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Abstract

The present invention provides a kind of region partitioning method and system of wide area energy internet, and wherein method includes:Obtain the characteristic index of energy router;Using each energy router as a sample, and input respectively to should energy router characteristic index, construction energy internet eigenmatrix, the corresponding sample of each row/column element of energy internet eigenmatrix;The sample is clustered according to k means clustering algorithms, obtains the classification of energy router corresponding to each sample.Energy router in wide area energy internet more reasonably and accurately can be divided into different regions by the present invention.

Description

A kind of region partitioning method and system of wide area energy internet
Technical field
The present invention relates to energy technology field, more particularly, to a kind of region partitioning method of wide area energy internet And system.
Background technology
The mankind are faced with multinomial global challenges, such as environmental pollution, global warming, oil crisis etc., tradition electricity at present Net can not meet the energy demand in modern times, accordingly, it is capable to which the concept of source internet is suggested, and thus derive energy road By the concept of device.The main target of energy internet includes supporting large-scale distributed regenerative resource, energy storage, electric automobile friend The good commercialization free flow and transaction for accessing and realizing the energy.To realize the basic object of energy internet, scholar proposes one Energy the Internet architecture of the kind based on energy source router, as shown in figure 1, energy source router is the substantially single of composition energy internet Member, there can be communication line simultaneously between source router and be connected with power circuit.Detail router may make up the interconnection of the local energy Net, then it is connected by bulk power grid with other energy source routers or energy LAN, forms wide area energy internet.
Logic connection of the bulk power grid transmission line of electricity to energy internet is transparent, but plays a part of transmitting electric energy, is the energy The physical basis of internet.Power large-scale electric generating station, load in former bulk power grid need to access power network by energy source router.It is distributed Formula regenerative resource, load, energy storage, electric automobile are accessed by energy source router, and energy source router is responsible for local electric energy Balance.
With developing rapidly for energy internet, it is using user as the service theory of core and efficient quick data interconnection The management philosophy such as production of the platform to traditional energy industry, management, consumption generate enormous impact.Compared to traditional power network, the energy Emphasize using user as the production of core, the information of consumer unit and data interconnection, so as to promote new energy to dissolve internet.Its root This purpose is the power demand docking for the power generation needs and power consumer for making new energy enterprise by data interconnection, passes through electric power Control fully matching supply and demand, so as to promote the utilization of new energy, improves the service efficiency of the energy.
As the progress of human industryization process, and production, continuous construction, the access of life energy consumption equipment, the energy are mutual The scale of networking will constantly expand.Excessive network size constantly increases the time delay for causing data transfer, is unfavorable for energy Transmitting and scheduling is controlled.By carrying out region division to wide area energy internet, then to the control respectively in region, interregional System, can reach more preferable control effect.
Traditional Grid division is generally basede on region interval etc..But with the continuous propulsion of urbanization process, super large The industry of geographic range, urban area will constantly be formed.Now traditional region partitioning method according to region interval will no longer It is applicable.Simultaneously because the mutual fusion of user group, the continuous refinement of power demand, the region division based on user group also without Method is realized.So, it is necessary to brand-new region partitioning method under the wide area energy Internet scene in future.
The content of the invention
The present invention provides a kind of wide area energy internet for overcoming above mentioned problem or solving the above problems at least in part Region partitioning method and system.
According to an aspect of the present invention, there is provided a kind of region partitioning method of wide area energy internet, including
The maximum instantaneous generated output for the generating equipment that S1, the energy router in wide area energy internet connect, Institute loaded maximum instantaneous electric power, energy router and other energy routers of energy router connection are between any two Power transmission line maximum instantaneous transimission power and efficiency of transmission, the characteristic index as energy router;
S2, using each energy router as a sample, and input respectively to should energy router characteristic index, Construct energy internet eigenmatrix, the corresponding sample of each row/column element of energy internet eigenmatrix;
S3, according to k-means clustering algorithms the sample is clustered, obtain energy router corresponding to each sample Classification.
Preferably, the step S2 includes:
S2.1, to any one energy router, according to the energy router and other energy routers between any two The biography of power transmission line maximum instantaneous transimission power and the energy router with other corresponding energy routers between any two The product of defeated efficiency, obtain energy router and the actual power transmission value of other energy routers between any two;
S2.2, the maximum instantaneous generated output of the generating equipment connected according to energy router are connected with energy router Loaded maximum instantaneous electric power product, obtain generating-load value of energy router;
S2.3, according to each energy router and other energy routers actual power transmission value between any two and every Generating-load value of individual energy router, construction energy internet eigenmatrix.
Preferably, the step S2.3 includes:
It is mutual according to each energy router and the actual power transmission value of other energy routers between any two, the construction energy Networking power transmission matrix;
According to the square root of generating-load value of each energy router, structure energy internet generating-load matrix;
According to energy internet generating-load matrix and energy internet power transmission matrix, construction energy internet Eigenmatrix.
Preferably, it is described according to energy internet generating-load matrix and energy internet power transmission matrix, construction The step of energy internet eigenmatrix, further comprise:
By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-moment of load respectively Battle array, obtains energy internet eigenmatrix.
Preferably, the step S3 includes:
According to the sum in energy internet eigenmatrix per row element, diagonal matrix is obtained;
According to the difference of the diagonal matrix and energy internet eigenmatrix, Laplacian Matrix is obtained, the drawing is general The corresponding sample of each row/column element of Lars matrix;
Each sample in energy internet eigenmatrix is clustered according to k-means clustering algorithms, obtained every The classification of energy router corresponding to individual sample.
According to another aspect of the present invention, a kind of area dividing system of wide area energy internet is also provided, including:
Characteristic index obtains device, the generating equipment connected for the energy router in wide area energy internet Maximum instantaneous generated output, the loaded maximum instantaneous electric power of institute of energy router connection, energy router and other The power transmission line maximum instantaneous transimission power and efficiency of transmission of energy router between any two, the spy as energy router Levy index;
Energy internet eigenmatrix obtains device, for using each energy router as a sample, and it is defeated respectively Enter to should energy router characteristic index, construction energy internet eigenmatrix, energy internet eigenmatrix The corresponding sample of each row/column element;
Clustering apparatus, for being clustered according to k-means clustering algorithms to the sample, obtain corresponding to each sample The classification of energy router.
Preferably, the step energy internet eigenmatrix obtains device and included:
Actual power transmission value obtains module, for any one energy router, according to the energy router and its His energy router power transmission line maximum instantaneous transimission power between any two and the energy router with it is corresponding other The product of the efficiency of transmission of energy router between any two, obtain energy router and the reality of other energy routers between any two Border power transmission value;
Load of electrical generation value obtains module, for the maximum instantaneous generated output of the generating equipment connected according to energy router Be connected with energy router loaded maximum instantaneous electric power product, obtain generating-load of energy router Value;
Energy internet eigenmatrix obtains module, for according to each energy router and other energy routers two-by-two Between actual power transmission value and each energy router generating-load value, construction energy internet eigenmatrix.
Preferably, energy internet eigenmatrix obtains module and included:
Power transmission matrix unit, for according to each energy router and the reality of other energy routers between any two Power transmission value, construction energy internet power transmission matrix:
Electrical load matrix unit, for the square root of generating-load value according to each energy router, build the energy Internet generating-load matrix;
Energy internet eigenmatrix unit, for according to energy internet generating-load matrix and energy internet Power transmission matrix, construction energy internet eigenmatrix.
Preferably, the energy internet eigenmatrix unit is specifically used for:
By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-moment of load respectively Battle array, obtains energy internet eigenmatrix.
Preferably, the clustering apparatus includes:
Diagonal matrix module, for according to the sum in energy internet eigenmatrix per row element, obtaining to angular moment Battle array;
Laplacian Matrix module, for the difference according to the diagonal matrix and energy internet eigenmatrix, obtain Laplacian Matrix, the corresponding sample of each row/column element of the Laplacian Matrix;
Cluster module, for being entered according to k-means clustering algorithms to each sample in energy internet eigenmatrix Row cluster, obtain the classification of energy router corresponding to each sample.
The region partitioning method and system of a kind of wide area energy internet proposed by the present invention, according to wide area energy internet In each energy router connection generating equipment maximum instantaneous generated output, each energy router connection institute it is loaded The actual power transmission value of maximum instantaneous electric power and energy router between any two, obtain the feature of each energy router Information, the energy router in wide area energy internet is more reasonably and accurately divided into by different regions with this.
Brief description of the drawings
Fig. 1 is the schematic flow sheet according to the region partitioning method of the wide area energy internet of the embodiment of the present invention;
Fig. 2 is the functional block diagram according to the area dividing system of the wide area energy internet of the embodiment of the present invention;
Fig. 3 is the schematic flow sheet according to the region partitioning method of the wide area energy internet of the embodiment of the present invention.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
During in order to overcome region division to wide area energy internet in the prior art, caused not using region partitioning method The drawbacks of beneficial to energy transmitting and scheduling, the present invention provide a kind of region partitioning method of wide area energy internet, referring to Fig. 1, bag Include:
The maximum instantaneous generated output for the generating equipment that S1, the energy router in wide area energy internet connect, Institute loaded maximum instantaneous electric power, energy router and other energy routers of energy router connection are between any two Power transmission line maximum instantaneous transimission power and efficiency of transmission, the characteristic index as energy router.
S2, using each energy router as a sample, and input respectively to should energy router characteristic index, Construct energy internet eigenmatrix, the corresponding sample of each row/column element of energy internet eigenmatrix.
S3, according to k-means clustering algorithms the sample is clustered, obtain energy router corresponding to each sample Classification.
, can be by Utilities Electric Co. for the maximum instantaneous generated output of the generating equipment of energy router connection Generating equipment information is inquired about, the maximum instantaneous generated output that all generating equipments of energy router connection provide is obtained, generates electricity Equipment can be thermal power station, power station, wind power station even photo-voltaic power generation station etc..
For the loaded maximum instantaneous electric power of institute of energy router connection, load include industrial load, Agricultural load, transportation load and people's lives electric loading etc..
The actual circuit transmission value of energy router between any two has reacted the tightness degree of two energy router contacts. If power transmission value is very big between two energy routers, represent to contact closely, in region between the two energy routers Same region should be assigned to during division as far as possible;, whereas if power transmission value very little between two energy routers, even There is no power line to be joined directly together, then it is loose to represent contact between the two, should be assigned to different zones as far as possible during region division.
In energy internet, mutual annexation, contact tightness degree, each energy routing between energy router The generated output of the electrical equipment connected on device, bearing power have together decided on the feature of the energy internet, so, pass through Consider above-mentioned parameter, you can obtain the characteristic information of energy internet.
On the basis of the various embodiments described above, step S2 includes:
S2.1, to any one energy router, according to the energy router and other energy routers between any two The biography of power transmission line maximum instantaneous transimission power and the energy router with other corresponding energy routers between any two The product of defeated efficiency, obtain energy router and the actual power transmission value of other energy routers between any two;
S2.2, the maximum instantaneous generated output of the generating equipment connected according to energy router are connected with energy router Loaded maximum instantaneous electric power product, obtain generating-load value of energy router;
S2.3, according to each energy router and other energy routers actual power transmission value between any two and every Generating-load value of individual energy router, construction energy internet eigenmatrix.
It should be noted that the maximum instantaneous transimission power of energy router between any two embodies two energy in theory Electric current transmission value between router, but because electric power has various losses in transmitting procedure, therefore, every power transmission line Efficiency of transmission and differ, by obtaining the power transmission line efficiency of transmission of energy router between any two, by efficiency of transmission It is multiplied with maximum instantaneous transimission power, just obtains the actual power transmission value between two energy routers.
On the basis of the various embodiments described above, step S2.3 includes:
It is mutual according to each energy router and the actual power transmission value of other energy routers between any two, the construction energy Networking power transmission matrix;
Specifically, the maximum instantaneous transimission power according to energy router between any two, obtain energy internet electric power and pass Defeated line maximum instantaneous transimission power matrix TN×N
Wherein, matrix TN×NIn a rows b arrange element tabRepresent energy router ERaWith ERbBetween maximum instantaneous Transimission power, a, b ∈ [1, N];Obviously, tab=tba, taa=0, therefore, matrix TN×NIt is that element is 0 on a leading diagonal, and Matrix of the other elements using leading diagonal as symmetry axis.
According to the power transmission line efficiency of transmission of energy router between any two, obtain energy internet power transmission line and pass Defeated efficiency matrix EN×N
Wherein, matrix EN×NIn a rows b arrange element eabRepresent energy router ERaWith ERbBetween power transmission Line efficiency of transmission;Obviously, matrix EN×NIn element meet eij=eji, and eii=1, eij(i, j ∈ [1, N]), therefore, matrix EN×NIt is that element is 1 on a leading diagonal, and matrix of the other elements using leading diagonal as symmetry axis.
By matrix TN×NWith matrix EN×NDot product is carried out, obtains energy internet power transmission matrix TEN×N
Wherein, matrix TEN×NIn a rows b arrange element eabRepresent energy router ERaWith ERbBetween actual electric power Transmission value.
Clearly for the element of same position in two matrixes, due to matrix TN×NIn two energy routers of element representation Between maximum instantaneous transimission power, matrix EN×NIn two energy routers of element representation between power transmission line transmission Efficiency, therefore, the value after dot product are the actual power transmission value between the two energy routers, simultaneously because matrix TN×N Neutralize matrix EN×NIt is on main diagonal axisymmetric matrix, therefore, the energy internet power transmission matrix obtained after dot product TEN×NAnd on main diagonal axisymmetric matrix.
According to the square root of generating-load value of each energy router, structure energy internet generating-load matrix.
Specifically, it is mutual that the maximum instantaneous generated output of all generating equipments connected according to each energy router obtains the energy The maximum instantaneous generated output vector P of networking1×N=(p1,p2,…pi,…pN);Wherein, piRepresent energy router ERiIt is all The maximum instantaneous generated output of generating equipment;
The maximum of the institute's loaded maximum instantaneous electric power acquisition energy internet connected according to each energy router Instantaneous electric power vector L1×N=(l1,l2,…li,…lN);Wherein, liRepresent energy router ERiAll generating equipments Maximum instantaneous generated output;
By maximum instantaneous generated output vector P1×NWith maximum instantaneous electric power vector L1×NIt is respectively converted into diagonal matrix NPN×NAnd NLN×N
It is understood that maximum instantaneous generated output vector P1×NWith maximum instantaneous electric power vector L1×NIt is 1 row N row matrix, for the ease of calculate, two vectors are respectively converted into diagonal matrix, will vector in i-th row element conversion The element arranged for the i-th row i in diagonal matrix.
Energy internet generating-load matrix PLN×NCalculation formula be:
On the basis of the various embodiments described above, according to energy internet generating-load matrix and energy internet electric power Transmission matrix, construct the energy internet eigenmatrix the step of, further comprise:
By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-moment of load respectively Battle array, obtains the energy internet eigenmatrix CN×N, specific formula for calculation is:
On the basis of the various embodiments described above, step S3 includes:
According to the sum in energy internet eigenmatrix per row element, diagonal matrix D is obtainedN×N
DN×NMatrix is diagonal matrix, and the value on diagonal is energy internet eigenmatrix CN×NMiddle corresponding row or column With due to energy internet eigenmatrix CN×NFor symmetrical matrix, therefore CN×NMiddle corresponding to row or column and equal, DN×NIn matrix Element meets:
Wherein, Di,iRepresenting matrix DN×NThe i-th row element, ci,jRepresenting matrix CN×NIn jth column/row in the i-th row/column Element.
According to matrix DN×NWith energy internet eigenmatrix CN×NDifference, obtain Laplacian Matrix D_LN×N
D_LN×N=DN×N-CN×N
The corresponding sample of each row/column element of the Laplacian Matrix;
By matrix DN×NAnd Matrix CN×NDefinition can obtain, Laplacian Matrix D_LN×NElement D_L on middle diagonali,i Represent the characteristic information sum of other N-1 energy router in addition to i in energy router i and energy internet.Draw pula This matrix D _ LN×NElement D_L beyond middle diagonali,jRepresent the negative of energy router i and energy router j characteristic information Value.
Each sample in energy internet eigenmatrix is clustered according to k-means clustering algorithms, obtained every The classification of energy router corresponding to individual sample.
According to another aspect of the present invention, a kind of area dividing system of wide area energy internet is also provided, referring to figure 2, including:
Characteristic index obtains device, the generating equipment connected for the energy router in wide area energy internet Maximum instantaneous generated output, the loaded maximum instantaneous electric power of institute of energy router connection, energy router and other The power transmission line maximum instantaneous transimission power and efficiency of transmission of energy router between any two, the spy as energy router Levy index;
Energy internet eigenmatrix obtains device, for using each energy router as a sample, and it is defeated respectively Enter to should energy router characteristic index, construction energy internet eigenmatrix, energy internet eigenmatrix The corresponding sample of each row/column element;
Clustering apparatus, for being clustered according to k-means clustering algorithms to the sample, obtain corresponding to each sample The classification of energy router.
On the basis of the various embodiments described above, the step energy internet eigenmatrix, which obtains device, to be included:
Actual power transmission value obtains module, for any one energy router, according to the energy router and its His energy router power transmission line maximum instantaneous transimission power between any two and the energy router with it is corresponding other The product of the efficiency of transmission of energy router between any two, obtain energy router and the reality of other energy routers between any two Border power transmission value;
Load of electrical generation value obtains module, for the maximum instantaneous generated output of the generating equipment connected according to energy router Be connected with energy router loaded maximum instantaneous electric power product, obtain generating-load of energy router Value;
Energy internet eigenmatrix obtains module, for according to each energy router and other energy routers two-by-two Between actual power transmission value and each energy router generating-load value, construction energy internet eigenmatrix.
On the basis of the various embodiments described above, energy internet eigenmatrix, which obtains module, to be included:
Power transmission matrix unit, for according to each energy router and the reality of other energy routers between any two Power transmission value, construction energy internet power transmission matrix:
Electrical load matrix unit, for the square root of generating-load value according to each energy router, build the energy Internet generating-load matrix;
Energy internet eigenmatrix unit, for according to energy internet generating-load matrix and energy internet Power transmission matrix, construction energy internet eigenmatrix.
On the basis of the various embodiments described above, energy internet eigenmatrix unit is specifically used for:
By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-moment of load respectively Battle array, obtains energy internet eigenmatrix.
On the basis of the various embodiments described above, clustering apparatus includes:
Diagonal matrix module, for according to the sum in energy internet eigenmatrix per row element, obtaining to angular moment Battle array;
Laplacian Matrix module, for the difference according to the diagonal matrix and energy internet eigenmatrix, obtain Laplacian Matrix, the corresponding sample of each row/column element of the Laplacian Matrix;
Cluster module, for being entered according to k-means clustering algorithms to each sample in energy internet eigenmatrix Row cluster, obtain the classification of energy router corresponding to each sample.
Embodiment 1
A kind of region partitioning method of wide area energy internet, referring to Fig. 3, including:
The number N of energy router (Energy Router) in S1, statistics energy internet, and be numbered respectively ER1、ER2、ER3、…ERi、…、ERN, wherein ERiRepresent i-th of energy router.
To each energy router, the maximum instantaneous generating work(of all generating equipments of energy router connection is counted Rate, for example, for ERi, the maximum instantaneous generated output of all generating equipments of the energy router is expressed as pi(KW), according to The maximum instantaneous generated output of all generating equipments of each energy router connection obtains maximum instantaneous in energy internet and generated electricity Vector power P1×N=(p1,p2,…pi,…pN);
To each energy router, the loaded maximum instantaneous electric power of institute that the energy router connects, example are counted Such as, for ERi, the loaded maximum instantaneous electric power of institute of the energy router is expressed as li(KW), according to each energy routing The loaded maximum instantaneous electric power of institute of device connection obtains maximum instantaneous electric power vector L in energy internet1×N= (l1,l2,…li,…lN);
According to the maximum instantaneous transimission power of energy router between any two, it is maximum to obtain energy internet power transmission line Instantaneous transfer power matrix TN×N, matrix TN×NIn a rows b arrange element tabRepresent energy router ERaWith ERbBetween most Big instantaneous transfer power, it is clear that tab=tba(a, b ∈ [1, N]), and taa=0;Specifically, matrix TN×NIt is expressed as:
According to the power transmission line efficiency of transmission of energy router between any two, obtain energy internet power transmission line and pass Defeated efficiency matrix EN×N, matrix EN×NIn a rows b arrange element eabRepresent energy router ERaWith ERbBetween power transmission Line efficiency of transmission, it is clear that energy router ERxWith energy router ERyBetween there is no power transmission line connection, then its electric power pass Defeated line efficiency of transmission exy=0;eab=eba(a, b ∈ [1, N]), and eaa=1.Matrix EN×NIt is expressed as:
S2, by matrix TN×NWith matrix EN×NDot product, obtain energy internet power transmission matrix TEN×N, matrix TEN×NIn The element e of a rows b rowabRepresent energy router ERaWith ERbBetween actual power transmission value.
By vectorial P1×NAnd L1×NComplete 1 column vector is multiplied by respectively, to be converted into diagonal matrix NPN×N(also referred to as power supply square Battle array) and NLN×N(also referred to as load matrix), wherein, diagonal matrix NPN×NThe i-th row i-th row i-th of energy of element representation Router ERiAll generating equipments maximum instantaneous generated output pi;Diagonal matrix NLN×NThe i-th row i-th row the list of elements Show i-th of energy router ERiThe loaded maximum instantaneous electric power l of institutei
Mutual annexation, the tightness degree of contact are by energy internet power transmission square between S3, energy router Battle array TEN×NTo describe, in energy internet on energy router the generated output of institute's connection electrical equipment by matrix N PN×NTo retouch State, the electric power of the load connected in energy internet on energy router is by matrix PLN×NTo describe, three more than Individual matrix multiple, it can obtain energy internet eigenmatrix CN×N, formula is as follows:
S4, according to energy internet eigenmatrix CN×NCalculate diagonal matrix DN×N, diagonal matrix DN×NLeading diagonal on Value be energy internet eigenmatrix CN×NThe sum of middle corresponding row or column, meets:
S5, calculate its Laplacian Matrix D_LN×N, formula is as follows:
D_LN×N=DN×N-CN×N
Matrix D _ LN×NBy energy internet eigenmatrix CN×NIt is calculated, remains Matrix CN×NIn for the energy interconnect The feature description of net, while after Laplace transform is handled, matrix D _ LN×NFeature it is more obvious, convenient follow-up cluster Realize more preferable effect.
S6, by matrix D _ LN×NClustered using k-means algorithms, be polymerized to K classes, obtain a N-dimensional vector S1×N。S1×NMiddle member Element is the integer between [1, K], the affiliated area for the N that corresponds to energy router 1,2 respectively ..., such as S1=2 represent energy road Region 2 is belonged to by device 1, here it is final region division result.
Finally, method of the invention is only preferable embodiment, is not intended to limit the scope of the present invention.It is all Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements made etc., the protection of the present invention should be included in Within the scope of.

Claims (10)

  1. A kind of 1. region partitioning method of wide area energy internet, it is characterised in that including:
    Maximum instantaneous generated output, the energy for the generating equipment that S1, the energy router in wide area energy internet connect The loaded maximum instantaneous electric power of institute, energy router and the electricity of other energy routers between any two of router connection Power transmission line maximum instantaneous transimission power and efficiency of transmission, the characteristic index as energy router;
    S2, using each energy router as a sample, and input respectively to should energy router characteristic index, construction Energy internet eigenmatrix, the corresponding sample of each row/column element of energy internet eigenmatrix;
    S3, according to k-means clustering algorithms the sample is clustered, obtain the class of energy router corresponding to each sample Not.
  2. 2. the region partitioning method of wide area energy internet as claimed in claim 1, it is characterised in that the step S2 bags Include:
    S2.1, to any one energy router, according to the energy router and the electric power of other energy routers between any two The transmission of transmission line maximum instantaneous transimission power and the energy router with other corresponding energy routers between any two is imitated The product of rate, obtain energy router and the actual power transmission value of other energy routers between any two;
    S2.2, the maximum instantaneous generated output of the generating equipment connected according to energy router are connected all with energy router The product of the maximum instantaneous electric power of load, obtain generating-load value of energy router;
    S2.3, according to each energy router and other energy routers actual power transmission value between any two and each energy Measure generating-load value of router, construction energy internet eigenmatrix.
  3. 3. the region partitioning method of wide area energy internet as claimed in claim 2, it is characterised in that the step S2.3 bags Include:
    According to each energy router and the actual power transmission value of other energy routers between any two, construction energy internet Power transmission matrix;
    According to the square root of generating-load value of each energy router, structure energy internet generating-load matrix;
    According to energy internet generating-load matrix and energy internet power transmission matrix, construction energy internet feature Matrix.
  4. 4. the region partitioning method of wide area energy internet as claimed in claim 3, it is characterised in that described mutual according to the energy Network generating-load matrix and energy internet power transmission matrix, the step of constructing energy internet eigenmatrix, enter one Step includes:
    By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-load matrix respectively, obtain Obtain energy internet eigenmatrix.
  5. 5. the region partitioning method of wide area energy internet as claimed in claim 4, it is characterised in that the step S3 bags Include:
    According to the sum in energy internet eigenmatrix per row element, diagonal matrix is obtained;
    According to the difference of the diagonal matrix and energy internet eigenmatrix, Laplacian Matrix, the Laplce are obtained The corresponding sample of each row/column element of matrix;
    Each sample in energy internet eigenmatrix is clustered according to k-means clustering algorithms, obtains each sample The classification of energy router corresponding to this.
  6. A kind of 6. area dividing system of wide area energy internet, it is characterised in that including:
    Characteristic index obtains device, the maximum for the generating equipment of the energy router connection in wide area energy internet Instantaneous electric power, institute loaded maximum instantaneous electric power, energy router and other energy of energy router connection The power transmission line maximum instantaneous transimission power and efficiency of transmission of router between any two, the feature as energy router refer to Mark;
    Energy internet eigenmatrix obtains device, for using each energy router as a sample, and input pair respectively Should energy router characteristic index, construction energy internet eigenmatrix, energy internet eigenmatrix it is each The corresponding sample of row/column element;
    Clustering apparatus, for being clustered according to k-means clustering algorithms to the sample, obtain energy corresponding to each sample The classification of router.
  7. 7. the area dividing system of wide area energy internet as claimed in claim 6, it is characterised in that the step energy is mutual Networking features matrix, which obtains device, to be included:
    Actual power transmission value obtains module, for any one energy router, according to the energy router and other energy Measure router power transmission line maximum instantaneous transimission power between any two and the energy router and other corresponding energy The product of the efficiency of transmission of router between any two, obtain energy router and the actual electricity of other energy routers between any two Power transmission value;
    Load of electrical generation value obtains module, for the maximum instantaneous generated output and energy of the generating equipment connected according to energy router Measure router connection loaded maximum instantaneous electric power product, obtain generating-load value of energy router;
    Energy internet eigenmatrix obtains module, for according to each energy router and other energy routers between any two Actual power transmission value and each energy router generating-load value, construction energy internet eigenmatrix.
  8. 8. the area dividing system of wide area energy internet as claimed in claim 7, it is characterised in that the energy internet Eigenmatrix, which obtains module, to be included:
    Power transmission matrix unit, for according to each energy router and the actual electric power of other energy routers between any two Transmission value, construction energy internet power transmission matrix:
    Electrical load matrix unit, for the square root of generating-load value according to each energy router, structure energy interconnection Net generating-load matrix;
    Energy internet eigenmatrix unit, for according to energy internet generating-load matrix and energy internet electric power Transmission matrix, construction energy internet eigenmatrix.
  9. 9. the area dividing system of wide area energy internet as claimed in claim 8, it is characterised in that the energy internet Eigenmatrix unit is specifically used for:
    By the energy internet power transmission matrix, premultiplication and the right side multiply the energy internet generating-load matrix respectively, obtain Obtain energy internet eigenmatrix.
  10. 10. the area dividing system of wide area energy internet as claimed in claim 9, it is characterised in that the clustering apparatus Including:
    Diagonal matrix module, for according to the sum in energy internet eigenmatrix per row element, obtaining diagonal matrix;
    Laplacian Matrix module, for the difference according to the diagonal matrix and energy internet eigenmatrix, it is general to obtain drawing Lars matrix, the corresponding sample of each row/column element of the Laplacian Matrix;
    Cluster module, for being gathered according to k-means clustering algorithms to each sample in energy internet eigenmatrix Class, obtain the classification of energy router corresponding to each sample.
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CN108599141A (en) * 2018-02-05 2018-09-28 西交利物浦大学 The quick dynamic self-adapting recognition methods of multiple-energy-source LAN
CN108599141B (en) * 2018-02-05 2021-04-27 西交利物浦大学 Rapid dynamic self-adaptive identification method for multi-energy local area network
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CN111967179B (en) * 2020-07-02 2024-02-09 江苏能来能源互联网研究院有限公司 Dynamic optimization matching method for energy units of energy internet
CN113095710A (en) * 2021-04-25 2021-07-09 国网宁夏电力有限公司 Region division method and system for wide area energy Internet

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