CN108123487B - Distributed generation resource classification method and system - Google Patents

Distributed generation resource classification method and system Download PDF

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CN108123487B
CN108123487B CN201711219250.4A CN201711219250A CN108123487B CN 108123487 B CN108123487 B CN 108123487B CN 201711219250 A CN201711219250 A CN 201711219250A CN 108123487 B CN108123487 B CN 108123487B
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cluster
distributed generation
generation resource
identification information
transfer
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CN108123487A (en
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罗微
蔡莹
姚林
谭晶
鄂宇航
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Guangzhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangzhou Power Supply Bureau Co Ltd
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    • H02J3/382—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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Abstract

The present invention relates to technical field of electric power, more particularly to a kind of distributed generation resource classification method and system.The above method relative to power grid comprising steps of respectively run the transfer distribution factor of control section by obtaining predetermined each distributed generation resource；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；Calculate the degree of correlation of each distributed generation resource relative to preset each relevance factors in each first cluster；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster；The classification of distributed generation resource in power grid is obtained according to the second cluster.Transfer distribution factor and relevance factors are corresponded to identical distributed generation resource and be referred to together, while considering above-mentioned both sides factor, i.e. operation of power networks requirement and power supply operation characteristic, distributed generation resource clustering forecasting efficiency can be improved.

Description

Distributed generation resource classification method and system
Technical field
It, can more particularly to a kind of distributed generation resource classification method, system, computer the present invention relates to technical field of electric power Read storage medium and computer equipment.
Background technique
The clean energy resourcies such as wind-powered electricity generation, photovoltaic, which access form, gradually to be developed from centralization to distribution, becomes clear in world wide The main trend of clean energy development.But distributed generation resource installation small scale, accesses more dispersed unique characteristics, so that traditional Power forecasting method is difficult to meet the required precision of its forecast analysis.
Based on this, traditional distributed power supply cluster forecast analysis is that multiple operation characteristics are similar or on-position is close Distributed generation resource convergence, formed distributed generation resource cluster, to the distributed generation resource cluster implement power prediction.It is distributed being formed When formula power supply cluster, only considers the requirement of wherein one side, be easy to cause distributed generation resource clustering forecasting efficiency low.
In the implementation of the present invention, at least there are the following problems: distributed generation resource collection for inventor's discovery traditional technology Groupization forecasting efficiency is low.
Summary of the invention
Based on this, it is necessary to for the low problem of distributed generation resource clustering forecasting efficiency in traditional technology, provide one kind Distributed generation resource classification method, system, computer readable storage medium and computer equipment.
A kind of distributed generation resource classification method, comprising:
Obtain the transfer distribution factor that predetermined each distributed generation resource respectively runs control section relative to power grid；According to The transfer distribution factor classifies to each distributed generation resource, obtains the first cluster；
Calculate the degree of correlation of each distributed generation resource relative to preset each relevance factors in each first cluster；According to institute It states the degree of correlation to classify to the distributed generation resource in each first cluster, obtains the second cluster；
The classification of distributed generation resource in power grid is obtained according to the second cluster.
It is described in one of the embodiments, to be classified according to the transfer distribution factor to each distributed generation resource, it obtains To the first cluster, comprising:
The maxima and minima in transfer distribution factor is obtained, two medians are determined according to maxima and minima； The first transfer section, the second transfer section and third transfer section are determined according to the maximum value, minimum value, two medians；
It determines transfer section belonging to each transfer distribution factor of each distributed generation resource, it is corresponding to obtain affiliated transfer section Transfer section identification information, as the transfer relationship information between the distributed generation resource and each operation of power networks control section；
According to the transfer relationship information, classify to each distributed generation resource, obtains the first cluster.
It is described according to the transfer relationship information in one of the embodiments, classify to each distributed generation resource, obtains To the first cluster, comprising:
Obtain several clusters and the corresponding transfer section identification information of each cluster constructed in advance；According to each distributed electrical The corresponding transfer relationship information in source and the corresponding transfer section identification information of each cluster, distributed generation resource is referred to In corresponding cluster, the first cluster is obtained.
It is described according to the transfer relationship information in one of the embodiments, classify to each distributed generation resource, obtains To the first cluster, comprising:
According to first distributed generation resource and its corresponding one cluster of transfer relationship information architecture；
According to the corresponding transfer relationship information of next distributed generation resource, judge that next distributed generation resource is It is no to belong to the cluster, if so, next distributed generation resource is referred to the cluster；If it is not, according to described next Distributed generation resource and its new cluster of the corresponding transfer relationship information architecture, and next distributed generation resource is sorted out To the new cluster；And so on, until whole distributed generation resources are referred to corresponding cluster, obtain the first cluster.
The transfer section identification information includes the first transfer section identification information, second in one of the embodiments, Shift section identification information and third and shift section identification information, transfer section identification information respectively with the first transition range Between, second transfer section and third transfer section correspond；
It is described to be marked according to the corresponding transfer relationship information of each distributed generation resource and the corresponding transfer section of each cluster Know information, distributed generation resource be referred in corresponding cluster, comprising:
If the corresponding operation of power networks control section of the corresponding each first transfer section identification information of current distributed generation resource with The corresponding each third of any distributed power supply shifts the corresponding operation of power networks control section of section identification information in first cluster Intersection is empty set, and the corresponding each third of current distributed generation resource shifts the corresponding operation of power networks control of section identification information and breaks It is disconnected that the corresponding operation of power networks control of section identification information is shifted in face corresponding with any distributed power supply in the first cluster each first The intersection in face is empty set, then current distributed generation resource is referred to corresponding cluster.
It is described according to the corresponding transfer relationship information of next distributed generation resource in one of the embodiments, sentence Whether the next distributed generation resource that breaks belongs to the cluster, comprising:
If next distributed generation resource corresponding each first shifts the corresponding operation of power networks control of section identification information Section each third corresponding with any distributed power supply in the cluster shifts the corresponding operation of power networks control of section identification information The intersection of section is empty set, and the corresponding each third of next distributed generation resource shifts the corresponding electricity of section identification information Net operation control section corresponding with any distributed power supply in the cluster each first shifts the corresponding electricity of section identification information The intersection of net operation control section is empty set, then next distributed generation resource belongs to the cluster；Otherwise, it executes according to institute State next distributed generation resource and its new cluster of the corresponding transfer relationship information architecture, and by next distribution Power supply is referred to the step of new cluster.
It is described in one of the embodiments, that the distributed generation resource in each first cluster is divided according to the degree of correlation Class obtains the second cluster, comprising:
The maxima and minima in each first cluster in the degree of correlation is obtained, is determined in two according to maxima and minima Between be worth；Determine that the first related interval, the second related interval are related to third according to the maximum value, minimum value, two medians Section；
It determines related interval belonging to each degree of correlation of the distributed generation resource of each first cluster, obtains affiliated related interval Corresponding related interval identification information, as the correlativity information between the distributed generation resource and each relevance factors；
According to the correlativity information, classifies to distributed generation resource in each first cluster, obtain the second cluster.
It is described according to the correlativity information in one of the embodiments, to distributed generation resource in each first cluster Classify, obtain the second cluster, comprising:
Obtain several clusters and the corresponding related interval identification information of each cluster constructed in advance；According to each first cluster The middle corresponding correlativity information of distributed generation resource and the corresponding related interval identification information of each cluster, by each first Distributed generation resource is referred in corresponding cluster in cluster, obtains the second cluster.
It is described according to the correlativity information in one of the embodiments, to distributed generation resource in each first cluster Classify, obtain the second cluster, comprising:
According to first distributed generation resource of each first cluster and its corresponding one cluster of correlativity information architecture；
According to the corresponding correlativity information of distributed generation resource next in each first cluster, judge described next Whether distributed generation resource belongs to the cluster, if so, next distributed generation resource is referred to the cluster；If it is not, root According to the new cluster of next distributed generation resource and its corresponding correlativity information architecture, and by described next point Cloth power supply is referred to the new cluster；And so on, until distributed generation resources whole in each first cluster are referred to pair The cluster answered obtains the second cluster.
The related interval identification information includes the first related interval identification information, second in one of the embodiments, Related interval identification information and third related interval identification information, the related interval identification information respectively with the first correlation zone Between, the second related interval and third related interval correspond；
It is described corresponding according to the corresponding correlativity information of distributed generation resource and each cluster in each first cluster Distributed generation resource in each first cluster is referred in corresponding cluster by related interval identification information, comprising:
If the corresponding correlation of the corresponding each first related interval identification information of current distributed generation resource in each first cluster The corresponding relevance factors of factor each third related interval identification information corresponding with any distributed power supply in the second cluster Intersection is empty set, and the corresponding relevance factors of the corresponding each third related interval identification information of the current distributed generation resource The intersection of the corresponding relevance factors of corresponding with any distributed power supply in the second cluster each first related interval identification information For empty set, then the current distributed generation resource is referred to corresponding cluster.
It is described according to the corresponding correlation of distributed generation resource next in each first cluster in one of the embodiments, Relation information, judges whether next distributed generation resource belongs to the cluster, comprising:
If the corresponding correlation of the corresponding each first related interval identification information of next distributed generation resource in each first cluster The corresponding relevance factors of sexual factor each third related interval identification information corresponding with any distributed power supply in the cluster Intersection be empty set, and the corresponding correlation of the corresponding each third related interval identification information of next distributed generation resource The corresponding relevance factors of factor each first related interval identification information corresponding with any distributed power supply in the cluster Intersection is empty set, then next distributed generation resource belongs to the cluster；Otherwise, it executes according to next distributed electrical Source and its new cluster of the corresponding correlativity information architecture, and next distributed generation resource is referred to described new Cluster the step of.
A kind of distributed generation resource categorizing system, comprising:
First categorization module respectively runs control section relative to power grid for obtaining predetermined each distributed generation resource Shift distribution factor；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；
Second categorization module, for calculate each distributed generation resource in each first cluster relative to preset each correlation because The degree of correlation of element；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster；
Categorization module, for obtaining the classification of distributed generation resource in power grid according to the second cluster.
A kind of computer readable storage medium, is stored thereon with computer program, when which is executed by processor, realizes The step of distributed generation resource classification method described above.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage Computer program, when the processor executes described program, the step of realizing distributed generation resource classification method described above.
Above-mentioned technical proposal, by obtaining predetermined each distributed generation resource relative to each operation of power networks control section Shift distribution factor；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；Calculate each The degree of correlation of each distributed generation resource relative to each relevance factors in one cluster；According to the degree of correlation in each first cluster Distributed generation resource classify, obtain the second cluster；The classification of distributed generation resource in power grid is obtained according to the second cluster.It will turn Distribution factor and relevance factors are moved to correspond to identical distributed generation resource and be categorized into together, at the same consider above-mentioned both sides because Distributed generation resource clustering forecasting efficiency can be improved in element.
Detailed description of the invention
Fig. 1 is the schematic flow chart of the distributed generation resource classification method of an embodiment；
Fig. 2 is the schematic flow chart of the distributed generation resource classification method of another embodiment；
Fig. 3 is the schematic diagram of the distributed generation resource categorizing system of an embodiment.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
The term " includes " of the embodiment of the present invention and " having " and their any deformations, it is intended that cover non-exclusive Include.Such as contain series of steps or the process, method, system, product or equipment of (module) unit are not limited to The step of listing or unit, but optionally further comprising the step of not listing or unit, or optionally further comprising for these The intrinsic other step or units of process, method, product or equipment.
Referenced herein " multiple " refer to two or more."and/or", the association for describing affiliated partner are closed System indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, individualism These three situations of B.Character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and Implicitly understand, embodiment described herein can be combined with other embodiments.
Although the step in the present invention is arranged with label, it is not used to limit the precedence of step, unless Based on the execution of the order or certain step that specify step needs other steps, otherwise the relative rank of step is It is adjustable.
Present invention can apply in technical field of electric power, point of the distributed generation resource before the prediction of distributed generation resource clustering Class.
Fig. 1 is the schematic flow chart of the distributed generation resource classification method of an embodiment；As shown in Figure 1, the present embodiment Distributed generation resource classification method the following steps are included:
Step S101 obtains the transfer distribution that predetermined each distributed generation resource respectively runs control section relative to power grid The factor；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster.
In this step, distributed generation resource refers to: the not direct 35kV and following voltage being connected with concentration transmission system The power supply of grade mainly includes generating equipment and energy storage device.Transfer distribution factor refers to that distributed generation resource and operation of power networks control Disconnected relation of plane reflects influence of the variation to operation of power networks of contributing that distributed power access point is determined, actually can Reflect operation of power networks requirement.First cluster includes corresponding distributed generation resource.
Wherein, operation of power networks control section is the key concept in dispatching of power netwoks operational process, is in the nature a series of defeated Electric line set.During operation of power networks, total trend of operation of power networks control section must satisfy control limit, can reflect Major requirement during operation of power networks.
Step S102 calculates correlation of each distributed generation resource in each first cluster relative to preset each relevance factors Degree；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster.
In this step, relevance factors refer to the outside weather that is arrived used in the process of distributed generation resource power prediction because Element, including wind speed, temperature, precipitation etc., above-mentioned data can be obtained from meteorological system.The degree of correlation refer to distributed generation resource and correlation because Relationship between element actually reflects the similar journey between different types of distributed generation resource power output (output power of power supply) Degree, is able to reflect its power supply operation characteristic.
Step S103 obtains the classification of distributed generation resource in power grid according to the second cluster.
Above-described embodiment respectively runs turning for control section relative to power grid by obtaining predetermined each distributed generation resource Move distribution factor；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；Calculate each first The degree of correlation of each distributed generation resource relative to preset each relevance factors in cluster；According to the degree of correlation to each first collection Distributed generation resource in group is classified, and the second cluster is obtained；The classification of distributed generation resource in power grid is obtained according to the second cluster. Transfer distribution factor and relevance factors are corresponded to identical distributed generation resource and be categorized into together, while considering above-mentioned two aspect Factor, i.e. distributed generation resource clustering forecasting efficiency can be improved in operation of power networks requirement and power supply operation characteristic.
It is described to be classified according to the transfer distribution factor to each distributed generation resource in an alternative embodiment, it obtains Before the step of first cluster, further includes: statistical basis data；The basic data includes the history power output sequence of distributed generation resource Column, relevance factors historical data sequence, Power grid structure and characterisitic parameter and distributed generation resource on-position；Calculate each point Transfer distribution factor of the cloth power supply relative to each operation of power networks control section.Wherein, distributed generation resource history power output sequence, Power grid structure and characterisitic parameter can be obtained from electric power system energy management system；It distributed generation resource on-position can be from electric power System is obtained with power consuming administrative system；Relevance factors are can to obtain from meteorological system.Above-described embodiment passes through statistical basis number According to the transfer distribution factor with each distributed generation resource of calculating relative to each operation of power networks control section, to obtain the first cluster below Provide foundation.
In an alternative embodiment, in above-mentioned steps S101, it is described according to the transfer distribution factor to each distributed electrical Source is classified, and the first cluster is obtained, comprising: obtain transfer distribution factor in maxima and minima, according to maximum value with Minimum value determines two medians；The first transfer section, second turn are determined according to the maximum value, minimum value, two medians It moves section and third shifts section；Transfer section belonging to each transfer distribution factor of each distributed generation resource is determined, belonging to acquisition The corresponding transfer section identification information in transfer section, such as it is strong positive related, weak it is related, strong negative sense is related, as described point Transfer relationship information between cloth power supply and each operation of power networks control section；According to the transfer relationship information, to each distribution Formula power supply is classified, and the first cluster is obtained.Above-described embodiment will according to the corresponding transfer relationship information of each distributed generation resource Each distributed generation resource is categorized into corresponding first cluster, is conducive to improve distributed generation resource clustering prediction effect to a certain extent Rate.
In an alternative embodiment, the transfer point for calculating each distributed generation resource and respectively running control section relative to power grid The formula of the cloth factor is as follows:
Wherein, i is distributed generation resource；L is transmission line of electricity, belongs to its section L；Refer to that the variation one of power supply power output is single Position, the degree of transmission line of electricity power flow changing.Wherein, the value for shifting distribution factor may be positive value, it is also possible to be negative value.When it When value is positive value, show that distributed generation resource power output increase will lead to the section tidal current and increase in positive direction as defined in it；It is no Then show that distributed generation resource power output increase will lead to the section tidal current and increase in negative direction as defined in it.Above-described embodiment leads to Above-mentioned formula is crossed, it can transfer distribution factor with each distributed generation resource of quick obtaining relative to each operation of power networks control section.
In an alternative embodiment, it is described obtain transfer distribution factor in maxima and minima, according to maximum value with Minimum value determines two medians；The first transfer section, second turn are determined according to the maximum value, minimum value, two medians It moves section and third shifts section, comprising:
The transfer distribution factor that all distributed generation resources respectively run control section relative to power grid is counted, wherein maximum valueMinimum valueGSCFIt may be expressed as:
Wherein, NG, NL are respectively distributed generation resource number and operation control section number in power grid.
Take the tertile point GSCF between above-mentioned maximum value, minimum value1、GSCF2, the tertile point may be expressed as:
According toGSCF2、GSCF1、GSCFAll distributed generation resources can respectively be run control section relative to power grid Transfer distribution factor be divided into three sections, be respectively: the transfer of distributed generation resource i and operation of power networks control section L are distributed Factor GSCFi LIt is inThen the distribution power influences strong positive related to the operation of power networks control section；Distribution The transfer distribution factor GSCF of formula power supply i and operation of power networks control section Li LIn [GSCF1,GSCF2], then the distribution power with The operation of power networks control section influences weak correlation；The transfer distribution factor of distributed generation resource i and operation of power networks control section L GSCFi LIn [GSCF,GSCF1], then the distribution power is related to the operation of power networks control section strong negative sense of influence.Above-mentioned implementation Example, the transfer distribution factor by the way that all distributed generation resources respectively to be run to control section relative to power grid are divided into three sections, Available corresponding transfer section identification information.
In an alternative embodiment, the transfer distribution factor of control section is respectively run according to above-mentioned distributed generation resource and power grid Division result can work out distributed generation resource transfer characteristic statistical form.Wherein, horizontal axis is each operation control section, the longitudinal axis in table For each distributed generation resource, infall is its division result.Table is schematically as follows:
Section 1 Section 2 …… Section NL
Distributed generation resource 1 It is strong positive related Weak correlation Weak correlation
Distributed generation resource 2 It is strong positive related Strong negative sense is related Strong negative sense is related
……
Distributed generation resource NG Weak correlation Weak correlation It is strong positive related
Above-described embodiment can intuitively, clearly obtain each distribution by working out distributed generation resource transfer characteristic statistical form Formula power supply respectively runs the relationship of control section relative to power grid, provides foundation for subsequent first cluster that obtains.
It is described according to the transfer relationship information in an alternative embodiment, classify to each distributed generation resource, obtains First cluster, comprising: obtain several clusters and the corresponding transfer section identification information of each cluster constructed in advance；According to each point The corresponding transfer relationship information of cloth power supply and the corresponding transfer section identification information of each cluster, by distributed generation resource It is referred in corresponding cluster, obtains the first cluster.Above-described embodiment, it is corresponding preparatory by the way that each distributed generation resource to be categorized into Each first cluster of building is conducive to improve distributed generation resource clustering forecasting efficiency to a certain extent.
It is described according to the transfer relationship information in an alternative embodiment, classify to each distributed generation resource, obtains First cluster, comprising: according to first distributed generation resource and its corresponding one cluster of transfer relationship information architecture；Under The corresponding transfer relationship information of one distributed generation resource, judges whether next distributed generation resource belongs to the collection Group, if so, next distributed generation resource is referred to the cluster；If it is not, according to next distributed generation resource and The new cluster of its corresponding transfer relationship information architecture, and next distributed generation resource is referred to the new collection Group；And so on, until whole distributed generation resources are referred to corresponding cluster, obtain the first cluster.Above-described embodiment passes through Each distributed generation resource is classified one by one, until each distributed generation resource is categorized into corresponding first cluster, to a certain extent favorably In raising distributed generation resource clustering forecasting efficiency.
In an alternative embodiment, the transfer section identification information includes the first transfer section identification information, second turn Move section identification information and third and shift section identification information, transfer section identification information shifted respectively with first section, Second transfer section and third transfer section correspond.It is described to be believed according to the corresponding transfer relationship of each distributed generation resource Breath and the corresponding transfer section identification information of each cluster, distributed generation resource are referred in corresponding cluster, comprising: if working as Preceding distributed generation resource corresponding each first shifts appoints in the corresponding operation of power networks control section of section identification information and the first cluster The intersection that the corresponding each third of distributed generation resource of anticipating shifts the corresponding operation of power networks control section of section identification information is empty set, and And currently the corresponding each third of distributed generation resource shifts the corresponding operation of power networks control section of section identification information and the first cluster The intersection that middle any distributed power supply corresponding each first shifts the corresponding operation of power networks control section of section identification information is sky Collection, then be referred to corresponding cluster for current distributed generation resource.Above-described embodiment, it is corresponding by judgement transfer section identification information Operation of power networks control section between relationship, distributed generation resource is categorized into corresponding first cluster, be conducive to improve distribution Formula power supply clustering forecasting efficiency.
It is described according to the corresponding transfer relationship information of next distributed generation resource, judgement in an alternative embodiment Whether next distributed generation resource belongs to the cluster, comprising: if next distributed generation resource corresponding each first Shift the corresponding operation of power networks control section of section identification information each third corresponding with any distributed power supply in the cluster The intersection for shifting the corresponding operation of power networks control section of section identification information is empty set, and next distributed generation resource pair Any distributed power supply pair in each third corresponding operation of power networks control section of transfer section identification information answered and the cluster The intersection for the corresponding operation of power networks control section of each first transfer section identification information answered is empty set, then next distribution Formula power supply belongs to the cluster；Otherwise, it executes and is believed according to next distributed generation resource and its corresponding transfer relationship Breath constructs new cluster, and the step of next distributed generation resource is referred to the new cluster.Above-described embodiment leads to The relationship between the corresponding operation of power networks control section of judgement transfer section identification information is crossed, distributed generation resource is categorized into correspondence The first cluster, be conducive to improve distributed generation resource clustering forecasting efficiency.
It is described that the distributed generation resource in each first cluster is divided according to the degree of correlation in an alternative embodiment Class obtains the second cluster, comprising: the maxima and minima in each first cluster in the degree of correlation is obtained, according to maximum value and most Small value determines two medians；The first related interval, the second correlation are determined according to the maximum value, minimum value, two medians Section and third related interval；It determines related interval belonging to each degree of correlation of the distributed generation resource of each first cluster, obtains institute The corresponding related interval identification information of the related interval of category, such as strong positive related, weak related, strong negative sense correlation；As described Correlativity information between distributed generation resource and each relevance factors；According to the correlativity information, to each first cluster Middle distributed generation resource is classified, and the second cluster is obtained.Above-described embodiment, according to each distributed generation resource and corresponding each correlation zone Between identification information, each distributed generation resource is categorized into corresponding second cluster, be conducive to a certain extent improve distributed electrical Source clustering forecasting efficiency.
In an alternative embodiment, the degree of correlation for calculating each distributed generation resource relative to preset each relevance factors Formula it is as follows:
Wherein, i is distributed generation resource, and j is relevance factors,For its historical data average value；The history of relevance factors Number of data is identical as distributed generation resource, is n, and xth data item is jx, historical data average value is
In an alternative embodiment, the maxima and minima in each first cluster in the degree of correlation is obtained, according to maximum value Two medians are determined with minimum value；The first related interval, second are determined according to the maximum value, minimum value, two medians Related interval and third related interval, comprising:
The degree of correlation of the distributed generation resource relative to relevance factors in each first cluster is counted, the maximum in the degree of correlation is obtained Value and the tertile point between minimum value and maximum value, minimum value can according to maximum value, minimum value, two tertile points Distributed generation resource in each first cluster is divided into three sections relative to the degree of correlation of preset each relevance factors, respectively It is: strong correlation section, weak related interval, uncorrelated section.
In an alternative embodiment, according to distributed generation resource in above-mentioned each first cluster and preset each relevance factors The division result of the degree of correlation can work out distributed generation resource degree of correlation influencing characterisitic statistical form.Wherein, horizontal axis is each correlation in table Sexual factor, the longitudinal axis are each distributed generation resource, and infall is its division result.Table is schematically as follows:
It is described according to the correlativity information in an alternative embodiment, to distributed generation resource in each first cluster into Row classification, obtains the second cluster, comprising: obtains several clusters constructed in advance and the corresponding related interval mark letter of each cluster Breath；According to the corresponding correlativity information of distributed generation resource and the corresponding related interval of each cluster in each first cluster Distributed generation resource in each first cluster is referred in corresponding cluster, obtains the second cluster by identification information.
It is described according to the correlativity information in an alternative embodiment, to distributed generation resource in each first cluster into Row classification, obtains the second cluster, comprising: according to first distributed generation resource of each first cluster and its corresponding related pass It is one cluster of information architecture；According to the corresponding correlativity information of distributed generation resource next in each first cluster, judgement Whether next distributed generation resource belongs to the cluster, if so, next distributed generation resource is referred to the collection Group；If it is not, the cluster new according to next distributed generation resource and its corresponding correlativity information architecture, and by institute It states next distributed generation resource and is referred to the new cluster；And so on, until by distributed electricals whole in each first cluster Source is referred to corresponding cluster, obtains the second cluster.
In an alternative embodiment, the related interval identification information includes the first related interval identification information, the second phase Close section identification information and third related interval identification information, the related interval identification information respectively with the first related interval, Second related interval and third related interval correspond.It is described according to the corresponding phase of distributed generation resource in each first cluster Relation information and the corresponding related interval identification information of each cluster are closed, distributed generation resource in each first cluster is referred to pair In the cluster answered, comprising: if the corresponding each first related interval identification information of current distributed generation resource is corresponding in each first cluster Relevance factors each third related interval identification information corresponding to any distributed power supply in the second cluster it is corresponding related The intersection of sexual factor is empty set, and the corresponding phase of the corresponding each third related interval identification information of the current distributed generation resource Close the corresponding correlation of sexual factor each first related interval identification information corresponding with any distributed power supply in the second cluster because The intersection of element is empty set, then the current distributed generation resource is referred to corresponding cluster.
It is described according to the corresponding related pass of distributed generation resource next in each first cluster in an alternative embodiment It is information, judges whether next distributed generation resource belongs to the cluster, comprising: if next distribution in each first cluster Any distributed power supply in the corresponding each corresponding relevance factors of first related interval identification information of formula power supply and the cluster The intersection of the corresponding relevance factors of corresponding each third related interval identification information is empty set, and next distribution Any distributed power supply pair in the corresponding each corresponding relevance factors of third related interval identification information of power supply and the cluster The intersection for the corresponding relevance factors of each first related interval identification information answered is empty set, then next distributed generation resource Belong to the cluster；Otherwise, it executes according to next distributed generation resource and its corresponding correlativity information architecture New cluster, and the step of next distributed generation resource is referred to the new cluster.
Fig. 2 is the schematic flow chart of the distributed generation resource classification method of another embodiment.
In a specific embodiment, as shown in Fig. 2, the distributed generation resource classification method, comprising:
Step S201, statistical basis data.
Step S202 calculates each distributed generation resource relative to each operation of power networks control section and shifts distribution factor.
Step S203 draws the transfer influencing characterisitic statistical form of each distributed generation resource.
Step S204 classifies to distributed generation resource according to transfer influencing characterisitic statistical form.
In one alternate embodiment, the decision condition of classification foundation are as follows: if all strong positive mutually shutdowns of distributed generation resource It is empty set that face and operation of power networks, which require the intersection of the strong negative sense associated sections of mutually similar middle Arbitrary distribution power supply, and distributed electrical All strong negative sense associated sections in source require the intersection of the strong positive associated sections of mutually similar middle Arbitrary distribution power supply with operation of power networks For empty set, then by the distributed generation resource be referred to above-mentioned operation of power networks requirement it is mutually similar in.
Specifically, distributed generation resource 1 is selected, sets it to operation of power networks requirement mutually similar 1 automatically；Select next point Cloth power supply, it is mutually similar according to the judgement of above-mentioned decision condition with having all operation of power networks requirements, determine to want if certain one kind meets Ask, then the distributed generation resource be included in such, otherwise increase a new operation of power networks require it is mutually similar, and by next distribution It is mutually similar that formula power supply is included in the new operation of power networks requirement.It repeats the above process, until all distributed generation resources are had been classified. It is mutually similar to be referred to corresponding operation of power networks requirement, distributed generation resource cluster can be improved by above-described embodiment for distributed generation resource Change forecasting efficiency.
Step S205, for operation of power networks require it is mutually similar, statistics wherein all distributed generation resources relative to it is preset respectively The degree of correlation of relevance factors.
Step S206 draws the degree of correlation influencing characterisitic statistical form of each distributed generation resource.
Step S207, influencing characterisitic statistical form requires mutually similar lower to distributed electrical in same operation of power networks according to the degree of correlation Source classification.
In an alternative embodiment, the decision condition of classification foundation are as follows: if the corresponding all strong phases of distributed generation resource The intersection of the corresponding uncorrelated relevance factors of the mutually similar middle Arbitrary distribution power supply of the relevance factors of pass and power supply operation characteristic For empty set, and the corresponding all incoherent relevance factors of distributed generation resource and power supply operation characteristic it is mutually similar in arbitrarily divide The intersection of the corresponding strong correlation relevance factors of cloth power supply is empty set, then the distributed generation resource is referred to above-mentioned power supply and runs spy During property is mutually similar.
Specifically, distributed generation resource 1 is selected, sets it to power supply operation characteristic mutually similar 1 automatically；Select next point Cloth power supply, it is mutually similar according to the judgement of above-mentioned decision condition with having all power supply operation characteristics, determine to want if certain one kind meets It asks, then the distributed generation resource is included in such, it is mutually similar otherwise to increase a new power supply operation characteristic, and by next distribution It is mutually similar that formula power supply is included in the new power supply operation characteristic.It repeats the above process, until all distributed generation resources are had been classified. Operation of power networks is required identical distributed generation resource to be referred to corresponding power supply operation characteristic mutually similar by above-described embodiment, can be with Improve distributed generation resource clustering forecasting efficiency.
Above-mentioned each embodiment, by calculate each distributed generation resource relative to each operation of power networks control section shift distribution because Son, and relative to the degree of correlation of preset each relevance factors, operation of power networks requirement and power supply operation characteristic is all identical Distributed generation resource is referred to together, comprehensively considers above-mentioned both sides factor, and distributed generation resource clustering prediction effect can be improved Rate.
It should be noted that for the various method embodiments described above, describing for simplicity, it is all expressed as a series of Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described, because according to According to the present invention, certain steps can use other sequences or carry out simultaneously.
Based on thought identical with the distributed generation resource classification method in above-described embodiment, the present invention also provides distributed electricals Source categorizing system, the system can be used for executing above-mentioned distributed generation resource classification method.For ease of description, distributed generation resource is classified In the schematic diagram of system embodiment, it illustrate only part related to the embodiment of the present invention, those skilled in the art It is appreciated that the restriction of schematic structure not structure paired systems, may include than illustrating more or fewer components, or combination Certain components or different component layouts.
Fig. 3 is the schematic diagram of the distributed generation resource categorizing system of an embodiment.
In one alternate embodiment, as shown in figure 3, the distributed generation resource categorizing system includes:
First categorization module 310 is broken for obtaining predetermined each distributed generation resource and respectively running to control relative to power grid The transfer distribution factor in face；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；
Second categorization module 320, for calculating each distributed generation resource in each first cluster relative to preset each correlation The degree of correlation of sexual factor；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster；
Categorization module 330, for obtaining the classification of distributed generation resource in power grid according to the second cluster.
In an alternative embodiment, first categorization module 310 can be used for: obtain the maximum in transfer distribution factor Value and minimum value, determine two medians according to maxima and minima；According to the maximum value, minimum value, two medians Determine the first transfer section, the second transfer section and third transfer section；Determine each transfer distribution factor of each distributed generation resource Affiliated transfer section obtains the affiliated corresponding transfer section identification information in transfer section, as the distributed generation resource and Transfer relationship information between each operation of power networks control section；According to the transfer relationship information, each distributed generation resource is carried out Classification, obtains the first cluster.
In an alternative embodiment, first categorization module 310 is also used to: obtain several clusters for constructing in advance with And the corresponding transfer section identification information of each cluster；According to the corresponding transfer relationship information of each distributed generation resource, and it is each The corresponding transfer section identification information of cluster, distributed generation resource is referred in corresponding cluster, the first cluster is obtained.
In an alternative embodiment, first categorization module 310 is also used to: according to first distributed generation resource and its Corresponding one cluster of transfer relationship information architecture；According to the corresponding transfer relationship information of next distributed generation resource, Judge whether next distributed generation resource belongs to the cluster, if so, next distributed generation resource is referred to institute State cluster；If it is not, the cluster new according to next distributed generation resource and its corresponding transfer relationship information architecture, and Next distributed generation resource is referred to the new cluster；And so on, until whole distributed generation resources are referred to Corresponding cluster obtains the first cluster.
In an alternative embodiment, first categorization module 310 is further used for: if current distributed generation resource pair Any distributed power supply pair in the corresponding operation of power networks control section of each first transfer section identification information answered and the first cluster The intersection for the corresponding operation of power networks control section of each third transfer section identification information answered is empty set, and current distributed electrical The corresponding each third in source shifts any distributed electricity in the corresponding operation of power networks control section of section identification information and the first cluster The intersection that the corresponding operation of power networks control section of section identification information is shifted in source corresponding each first is empty set, then will currently be distributed Formula power supply is referred to corresponding cluster.
In an alternative embodiment, first categorization module 310 is further used for: if next distribution Any distributed in the power supply corresponding operation of power networks control section of corresponding each first transfer section identification information and the cluster The intersection of the corresponding operation of power networks control section of the corresponding each third transfer section identification information of power supply is empty set, and it is described under In one distributed generation resource corresponding operation of power networks control section of corresponding each third transfer section identification information and the cluster The intersection that any distributed power supply corresponding each first shifts the corresponding operation of power networks control section of section identification information is empty set, Then next distributed generation resource belongs to the cluster；Otherwise, it executes according to next distributed generation resource and its correspondence The new cluster of the transfer relationship information architecture, and next distributed generation resource is referred to the step of the new cluster Suddenly.
In an alternative embodiment, second categorization module 320 can be used for: obtain in each first cluster in the degree of correlation Maxima and minima, two medians are determined according to maxima and minima；According to the maximum value, minimum value, two Median determines the first related interval, the second related interval and third related interval；Determine the distributed generation resource of each first cluster Each degree of correlation belonging to related interval, the affiliated corresponding related interval identification information of related interval is obtained, as described point Correlativity information between cloth power supply and each relevance factors；According to the correlativity information, in each first cluster Distributed generation resource is classified, and the second cluster is obtained.
In an alternative embodiment, second categorization module 320 is also used to: obtain several clusters for constructing in advance with And the corresponding related interval identification information of each cluster；According to the corresponding correlativity letter of distributed generation resource in each first cluster Breath and the corresponding related interval identification information of each cluster, are referred to corresponding cluster for distributed generation resource in each first cluster In, obtain the second cluster.
In an alternative embodiment, second categorization module 320 is also used to: according to the first point of each first cluster Cloth power supply and its corresponding one cluster of correlativity information architecture；According to next distributed generation resource in each first cluster The corresponding correlativity information, judges whether next distributed generation resource belongs to the cluster, if so, under will be described One distributed generation resource is referred to the cluster；If it is not, according to next distributed generation resource and its corresponding correlation Relation information constructs new cluster, and next distributed generation resource is referred to the new cluster；And so on, until Distributed generation resources whole in each first cluster are referred to corresponding cluster, obtain the second cluster.
In an alternative embodiment, second categorization module 320 is further used for: if current in each first cluster Any distributed in the corresponding relevance factors of the corresponding each first related interval identification information of distributed generation resource and the second cluster The intersection of the corresponding relevance factors of the corresponding each third related interval identification information of power supply is empty set, and the current distribution Any distributed power supply in the corresponding relevance factors of the corresponding each third related interval identification information of formula power supply and the second cluster The intersection of the corresponding relevance factors of corresponding each first related interval identification information is empty set, then by the current distributed electrical Source is referred to corresponding cluster.
In an alternative embodiment, second categorization module 320 is further used for: if next in each first cluster Arbitrary distribution in a corresponding each corresponding relevance factors of first related interval identification information of distributed generation resource and the cluster The intersection of the corresponding relevance factors of the corresponding each third related interval identification information of formula power supply is empty set, and described next Any distributed in the corresponding each corresponding relevance factors of third related interval identification information of distributed generation resource and the cluster The intersection of the corresponding relevance factors of the corresponding each first related interval identification information of power supply is empty set, then next distribution Formula power supply belongs to the cluster；Otherwise, it executes and is believed according to next distributed generation resource and its corresponding correlativity Breath constructs new cluster, and the step of next distributed generation resource is referred to the new cluster.
It is each relative to power grid to obtain predetermined each distributed generation resource by the first categorization module for above-mentioned each embodiment Run the transfer distribution factor of control section；Classified according to the transfer distribution factor to each distributed generation resource, obtains One cluster；Each distributed generation resource in each first cluster is calculated relative to preset each relevance factors by the second categorization module The degree of correlation；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster；According to Two clusters obtain the classification of distributed generation resource in power grid.Distribution factor will be shifted and relevance factors correspond to identical distributed electrical Source is referred to together, while considering above-mentioned both sides factor, i.e. operation of power networks requirement and power supply operation characteristic, can be improved Distributed generation resource clustering forecasting efficiency.
It should be noted that in the embodiment of the distributed generation resource categorizing system of above-mentioned example, between each module/unit The contents such as information exchange, implementation procedure, due to being based on same design, bring technology with preceding method embodiment of the present invention Effect is identical as preceding method embodiment of the present invention, and for details, please refer to the description in the embodiment of the method for the present invention, herein not It repeats again.
In addition, the logical partitioning of each program module is only in the embodiment of the distributed generation resource categorizing system of above-mentioned example It is the realization of the configuration requirement or software for example, can according to need in practical application, such as corresponding hardware It is convenient to consider, above-mentioned function distribution is completed by different program modules, i.e., by the inside of the distributed generation resource categorizing system Structure is divided into different program modules, to complete all or part of the functions described above.
It will appreciated by the skilled person that realizing all or part of the process in above-described embodiment method, being can It is completed with instructing relevant hardware by computer program, the program can be stored in a computer-readable storage and be situated between In matter, sells or use as independent product.When being executed, the complete of the embodiment such as above-mentioned each method can be performed in described program Portion or part steps.Wherein, the storage medium can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..
Accordingly, a kind of storage medium is also provided in one embodiment, is stored thereon with computer program, wherein the journey When sequence is executed by processor, realize such as any one distributed generation resource classification method in the various embodiments described above.
In addition, the storage medium may also be disposed in a kind of computer equipment, it further include place in the computer equipment Manage device, when the processor executes the program in the storage medium, can be realized the embodiment of above-mentioned each method whole or Part steps.
Accordingly, a kind of computer equipment is also provided in one embodiment, which includes memory, processor And store the computer program that can be run on a memory and on a processor, wherein processor is realized when executing described program Such as any one distributed generation resource classification method in the various embodiments described above.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, it may refer to the associated description of other embodiments.It is appreciated that term " first ", " second " used in wherein etc. is at this For distinguishing object in text, but these objects should not be limited by these terms.
The embodiments described above only express several embodiments of the present invention, should not be understood as to the invention patent range Limitation.It should be pointed out that for those of ordinary skill in the art, without departing from the inventive concept of the premise, Various modifications and improvements can be made, and these are all within the scope of protection of the present invention.Therefore, the scope of protection of the patent of the present invention It should be determined by the appended claims.

Claims (10)

1. a kind of distributed generation resource classification method characterized by comprising
Obtain the transfer distribution factor that predetermined each distributed generation resource respectively runs control section relative to power grid；According to described Transfer distribution factor classifies to each distributed generation resource, obtains the first cluster；
Calculate the degree of correlation of each distributed generation resource relative to preset each relevance factors in each first cluster；According to the phase Guan Du classifies to the distributed generation resource in each first cluster, obtains the second cluster；
The classification of distributed generation resource in power grid is obtained according to the second cluster.
2. distributed generation resource classification method according to claim 1, which is characterized in that it is described according to the transfer distribution because Son classifies to each distributed generation resource, obtains the first cluster, comprising:
The maxima and minima in transfer distribution factor is obtained, two medians are determined according to maxima and minima；According to The maximum value, minimum value, two medians determine the first transfer section, the second transfer section and third transfer section；
It determines transfer section belonging to each transfer distribution factor of each distributed generation resource, obtains corresponding turn affiliated of transfer section Section identification information is moved, as the transfer relationship information between the distributed generation resource and each operation of power networks control section；
According to the transfer relationship information, classify to each distributed generation resource, obtains the first cluster.
3. distributed generation resource classification method according to claim 1, which is characterized in that described to be believed according to the transfer relationship Breath, classifies to each distributed generation resource, obtains the first cluster, comprising:
Obtain several clusters and the corresponding transfer section identification information of each cluster constructed in advance；According to each distributed generation resource pair The transfer relationship information answered and the corresponding transfer section identification information of each cluster, are referred to correspondence for distributed generation resource Cluster in, obtain the first cluster；
And/or
According to first distributed generation resource and its corresponding one cluster of transfer relationship information architecture；
According to the corresponding transfer relationship information of next distributed generation resource, judge whether next distributed generation resource belongs to In the cluster, if so, next distributed generation resource is referred to the cluster；If it is not, according to next distribution Formula power supply and its new cluster of the corresponding transfer relationship information architecture, and next distributed generation resource is referred to institute State new cluster；And so on, until whole distributed generation resources are referred to corresponding cluster, obtain the first cluster.
4. distributed generation resource classification method according to claim 3, which is characterized in that transfer section identification information packet Include the first transfer section identification information, the second transfer section identification information and third transfer section identification information, the transition range Between identification information respectively with first transfer section, second transfer section and third transfer section correspond；
It is described to be believed according to the corresponding transfer relationship information of each distributed generation resource and the corresponding transfer section mark of each cluster Breath, distributed generation resource is referred in corresponding cluster, comprising:
If current distributed generation resource corresponding each first shifts the corresponding operation of power networks control section of section identification information and first The corresponding each third of any distributed power supply shifts the intersection of the corresponding operation of power networks control section of section identification information in cluster For empty set, and the corresponding operation of power networks control section of the corresponding each third transfer section identification information of current distributed generation resource with Any distributed power supply corresponding each first shifts the corresponding operation of power networks control section of section identification information in first cluster Intersection is empty set, then current distributed generation resource is referred to corresponding cluster；
And/or
It is described according to the corresponding transfer relationship information of next distributed generation resource, judge that next distributed generation resource is It is no to belong to the cluster, comprising:
If next distributed generation resource corresponding each first shifts the corresponding operation of power networks control section of section identification information Each third corresponding with any distributed power supply in the cluster shifts the corresponding operation of power networks control section of section identification information Intersection be empty set, and the corresponding power grid fortune of the corresponding each third transfer section identification information of next distributed generation resource Row control section corresponding with any distributed power supply in the cluster each first shifts the corresponding power grid fortune of section identification information The intersection of row control section is empty set, then next distributed generation resource belongs to the cluster；Otherwise, it executes according under described One distributed generation resource and its new cluster of the corresponding transfer relationship information architecture, and by next distributed generation resource The step of being referred to the new cluster.
5. distributed generation resource classification method according to claim 1, which is characterized in that it is described according to the degree of correlation to each Distributed generation resource in first cluster is classified, and the second cluster is obtained, comprising:
The maxima and minima in each first cluster in the degree of correlation is obtained, two centres are determined according to maxima and minima Value；The first related interval, the second related interval and third correlation zone are determined according to the maximum value, minimum value, two medians Between；
It determines related interval belonging to each degree of correlation of the distributed generation resource of each first cluster, it is corresponding to obtain affiliated related interval Related interval identification information, as the correlativity information between the distributed generation resource and each relevance factors；
According to the correlativity information, classifies to distributed generation resource in each first cluster, obtain the second cluster.
6. distributed generation resource classification method according to claim 5, which is characterized in that described to be believed according to the correlativity Breath, classifies to distributed generation resource in each first cluster, obtains the second cluster, comprising:
Obtain several clusters and the corresponding related interval identification information of each cluster constructed in advance；According in each first cluster points The corresponding correlativity information of cloth power supply and the corresponding related interval identification information of each cluster, by each first cluster Middle distributed generation resource is referred in corresponding cluster, obtains the second cluster；
And/or
According to first distributed generation resource of each first cluster and its corresponding one cluster of correlativity information architecture；
According to the corresponding correlativity information of distributed generation resource next in each first cluster, next distribution is judged Whether formula power supply belongs to the cluster, if so, next distributed generation resource is referred to the cluster；If it is not, according to institute State next distributed generation resource and its new cluster of the corresponding correlativity information architecture, and by next distribution Power supply is referred to the new cluster；And so on, until distributed generation resources whole in each first cluster are referred to corresponding Cluster obtains the second cluster.
7. distributed generation resource classification method according to claim 6, which is characterized in that the related interval identification information packet Include the first related interval identification information, the second related interval identification information and third related interval identification information, the correlation zone Between identification information respectively with the first related interval, the second related interval and third related interval correspond；
It is described according to the corresponding correlativity information of distributed generation resource and the corresponding correlation of each cluster in each first cluster Distributed generation resource in each first cluster is referred in corresponding cluster by section identification information, comprising:
If the corresponding relevance factors of the corresponding each first related interval identification information of current distributed generation resource in each first cluster The intersection of the corresponding relevance factors of corresponding with any distributed power supply in the second cluster each third related interval identification information For empty set, and the corresponding relevance factors of the corresponding each third related interval identification information of the current distributed generation resource and the The intersection of the corresponding relevance factors of the corresponding each first related interval identification information of any distributed power supply is sky in two clusters Collection, then be referred to corresponding cluster for the current distributed generation resource；
And/or
It is described according to the corresponding correlativity information of distributed generation resource next in each first cluster, judge described next Whether distributed generation resource belongs to the cluster, comprising:
If in each first cluster the corresponding correlation of the corresponding each first related interval identification information of next distributed generation resource because The friendship of the corresponding relevance factors of plain each third related interval identification information corresponding with any distributed power supply in the cluster Integrate as empty set, and the corresponding relevance factors of the corresponding each third related interval identification information of next distributed generation resource The intersection of the corresponding relevance factors of corresponding with any distributed power supply in the cluster each first related interval identification information For empty set, then next distributed generation resource belongs to the cluster；Otherwise, execute according to next distributed generation resource and The new cluster of its corresponding correlativity information architecture, and next distributed generation resource is referred to the new collection The step of group.
8. a kind of distributed generation resource categorizing system characterized by comprising
First categorization module respectively runs the transfer of control section for obtaining predetermined each distributed generation resource relative to power grid Distribution factor；Classified according to the transfer distribution factor to each distributed generation resource, obtains the first cluster；
Second categorization module, for calculating each distributed generation resource in each first cluster relative to preset each relevance factors The degree of correlation；Classified according to the degree of correlation to the distributed generation resource in each first cluster, obtains the second cluster；
Categorization module, for obtaining the classification of distributed generation resource in power grid according to the second cluster.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor When row, the step of realizing any one of claim 1 to 7 distributed generation resource classification method.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program when the processor executes described program, realizes any one of claim 1 to 7 distributed generation resource classification side The step of method.
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