CN109829599A - The assemblage classification method and device of power distribution network based on high proportion renewable energy - Google Patents
The assemblage classification method and device of power distribution network based on high proportion renewable energy Download PDFInfo
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Abstract
The invention discloses the assemblage classification methods of the power distribution network based on high proportion renewable energy, comprising: 1), power distribution network is abstracted as to the network being formed by connecting by node and side；2) several first preset values in network, are changed to the second preset value at random, several corresponding individuals of the network after obtaining change；3) the clustering performance index of current individual, is obtained according to modularity index and electricity index more than needed；4), judge whether iteration restrains；5), if so, connecting framework for the connection framework of the network after change as target；6) it, if it is not, carrying out the variation processing of the intersection and individual between the selection of individual, individual, and using individual corresponding to treated network as current individual, returns to step 4), until obtaining target connection framework.The invention discloses a kind of assemblage classification devices of power distribution network based on high proportion renewable energy.Using the embodiment of the present invention, the renewable energy digestion capability of system can be improved by cluster.
Description
Technical field
The present invention relates to a kind of assemblage classification method and devices, are more particularly to a kind of based on high proportion renewable energy
Power distribution network assemblage classification method and device.
Background technique
The mankind are exhausted to fossil energy, the worry of energy security and environmental degradation results in lasting fast of renewable energy
Exhibition is hailed, thus a kind of caused electric system scene of the renewable energy power generation containing high proportion is just causing the extensive pass of people
Note.It is a large amount of to be distributed with the further reinforcing of national new energy help-the-poor policy especially in the backwoodsman power distribution network in China
Formula renewable energy accesses power grid, and the case where permeability is greater than 100% even occur in some areas, this will be to local power net
Safety and stability generates significant impact, is mainly reflected in voltage out-of-limit, the more voltage class of power is sent etc..Therefore, how
New energy access is managed and is a technical problem to be solved urgently.
Currently, small usually using single-machine capacity that clustered control mode solves extensive renewable energy access power distribution network,
It is strong to divide the work, in group with weak coupling between its unique group when the brings difficult management problems such as quantity is more and geographical location disperses
Connection and the characteristic to cooperate, and may be implemented to interact with the other area informations of system and reach compared to control cluster on the spot
Optimal control is increasingly widely used compared to global control cluster response speed advantage faster etc..Clustered control
Principle be: target grid is divided into several subregions, each region is a cluster, externally shows as entirety, receives single
Instruction control, convenient for scheduling and management；It is cooperated in each node of cluster internal and completes common objective, efficiently between performance node
Collaboration capabilities.From existing document as can be seen that in the electric system containing renewable energy, the application scenarios of cluster are
The operation control field of system is covered, mostly using voltage change between node and the coupled relation of active reactive variation as foundation
Divided, common division methods have: the concept based on voltage sensibility coefficient, electrical couplings are strong between indicating node with this
Degree, and it is used for the voltage-controlled assemblage classification of distribution network；According to node voltage variation with the pass of active and idle variation
System, construction sensitivity matrix carry out the assemblage classification of distribution system control layer；In order to simplify the operation and control of electric system,
Electrical distance is constructed with voltage phase angle sensitivity relation with active between node, according to range index between intra-cluster distance and cluster to net
Network has carried out clustered partition.
From the above, it is seen that cluster is solving to manage brought by extensive renewable energy access power distribution network
There is apparent advantage on the problems such as difficult.However, prior art list cannot reflect each section with electrical couplings between node to divide
The power characteristic of point, therefore, the prior art technical problem not accurate enough there are the assemblage classification of power distribution network.
Summary of the invention
Technical problem to be solved by the present invention lies in provide a kind of power distribution network based on high proportion renewable energy
Assemblage classification method and device, to solve the prior art technical problem not accurate enough there are the assemblage classification of power distribution network.
The present invention is to solve above-mentioned technical problem by the following technical programs:
The embodiment of the invention provides the assemblage classification method of the power distribution network based on high proportion renewable energy, the sides
Method includes:
1), the power distribution network of pending assemblage classification is abstracted as to the network being formed by connecting by node and side, and by the net
Connection relationship in network between two nodes interconnected indicated using the first preset value, will be in the network between each other
Connection relationship between two connectionless nodes is indicated using the second preset value, wherein each power station in power distribution network is abstract
For node, the connecting line between the power station is abstracted as side；
2), random that several first preset values in the network are changed to the second preset value respectively, after obtaining change
Network it is corresponding several individual, and will it is described individual be used as current individual, wherein in each individual include at least one
A cluster, and the cluster is the sub-network that several nodes in the network are formed by connecting；
3) it, is directed to each current individual, institute is obtained according to electrical link tightness degree between the node in the current individual
The modularity index for stating current individual, according to the performance number of node each in the current individual, the function of the current individual energy storage
Rate regulating power obtains the electricity index more than needed of the current individual, and according to the modularity index and the electricity more than needed
Figureofmerit obtains the clustering performance index of the current individual；
4), judge whether the minimum value in the corresponding clustering performance index of each current individual is less than third
Whether preset threshold or the number of iterations reach the 4th preset threshold；
5), if so, the network connection framework that the corresponding current individual of clustering performance index value minimum value represents is made
Framework is connected for target；
6), if it is not, at using the intersection and individual variation the genetic algorithm selection individual between population progress, individual
Reason, and it regard individual corresponding to treated network as current individual, it returns and executes the step 4), until acquisition target
Connect framework.
Optionally, the acquisition of electrical link tightness degree is described between the node according in the current individual works as the one before
The modularity index of body, comprising:
Using formula,Described in calculating
The electrical distance of current individual, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For when
It carves 1 reactive power of current individual interior joint when section is t and changes unit value corresponding node i voltage change；For when
It carves 1 reactive power of current individual interior joint when section is t and changes unit value corresponding node j voltage change；For at the moment
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change when section is t；For at the moment
3 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node i voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node j voltage change when section is t；I is node ID；j
For node ID；T is the serial number of moment section；
Using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summation letter
Number；
Utilize formula, eij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijBetween node i and node j it is electrical away from
From；Max (L) is the maximum value of weight in all sides of connection；
Using formula,The modularity index of the current individual is obtained,
In,
ρ is the modularity index in current individual；M is the sum of the weight on all sides in current individual；eijFor i-th of section
The weight on the side between point and j-th of node；kiThe sum of weight for all sides being connect with node i； kjTo be connect with node j
All sides the sum of weight；σ (i, j) is the characterization parameter whether node i and node j are located at same cluster, same cluster value
It is 1, is not all 0；I is node ID；J is node ID.
Optionally, the power regulation ability of the current individual energy storage obtains the electricity index more than needed of the current individual,
Include:
Using formula,The serial number c cluster in the current individual is calculated in moment section t
Net power, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is disconnected for the moment
The serial number in face, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
Controllable burden power regulation ability, wherein
For the power tune of controllable burden of the cluster in moment section t of the serial number c in the current individual
Energy saving power；λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can be according to network
History run summary obtain；It is all in moment section t for the cluster of the serial number c in the current individual
The controllable burden demand of node；
Using formula,Calculate i-th energy storage device of the current individual in moment section t
Energy storage power regulation ability, wherein
For the storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
The power regulation ability of energy；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
The power regulation ability of energy storage device, wherein
For the power regulation energy of cluster energy storage device in moment section t of the serial number c in the current individual
Power；For energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Power regulation ability；
Using formula,It is described when the one before after calculating power regulation
More than needed electricity index of the cluster of serial number c in body in moment section t, wherein
For more than needed electricity of the cluster in moment section t of the serial number c in the current individual after power regulation
Index；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation, this
At the time of place only considers that the power supply power output of cluster internal is greater than workload demand, that is, meetAt the time of section t when；For the power regulation ability of controllable burden of the cluster in moment section t of the serial number c in the current individual；For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；When t is
Carve the serial number of section, and t ∈ x；
Using formula,Electricity index more than needed after the considerations of calculating current individual digestion capability,
In,
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；N is
The quantity of cluster in current individual.
Optionally, described that the current individual is obtained according to the modularity index and the electricity index more than needed
Clustering performance index, comprising:
Using formula,Calculate the clustering performance index of current individual, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability
Figureofmerit；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is the module in current individual
Spend index；ω2For the weight of the modularity index in current individual.
The embodiment of the invention provides the assemblage classification device of the power distribution network based on high proportion renewable energy, the dresses
It sets and includes:
Abstract module, for the power distribution network of pending assemblage classification to be abstracted as the network being formed by connecting by node and side,
And indicate the connection relationship between two nodes interconnected in the network using the first preset value, by the network
In connection relationship between each other between connectionless two nodes use the expression of the second preset value, wherein it is each in power distribution network
A power station is abstracted as node, and the connecting line between the power station is abstracted as side；
First obtains module, for several first preset values in the network to be changed to second in advance respectively at random
If value, obtain change after network it is corresponding several individual, and will it is described individual be used as current individual, wherein it is each each and every one
It include at least one cluster in body, and the cluster is the sub-network that several nodes in the network are formed by connecting；
Second obtains module, for being directed to each current individual, according to electrical link between the node in the current individual
Tightness degree obtains the modularity index of the current individual, according to the performance number of node each in the current individual, described works as
The power regulation ability of preceding individual energy storage obtains the electricity index more than needed of the current individual, and according to the modularity index
And the electricity index more than needed obtain the clustering performance index of the current individual；
Judgment module, for judging that the minimum value in the corresponding clustering performance index of each current individual is
It is no whether to reach the 4th preset threshold less than third predetermined threshold value or the number of iterations；
First setup module, for the judging result of the judgment module be in the case where, by clustering performance index
It is worth the network connection framework that the corresponding current individual of minimum value represents and connects framework as target；
Second setup module, for utilizing genetic algorithm pair in the case where the judging result of the judgment module is no
Population carries out the variation processing of intersection and individual between the selection of individual, individual, and by individual corresponding to treated network
As current individual, triggering judgment module is returned to, until obtaining target connects framework.
Optionally, described second module is obtained, is used for:
Using formula,Described in calculating
The electrical distance of current individual, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For when
It carves 1 reactive power of current individual interior joint when section is t and changes unit value corresponding node i voltage change；For at the moment
1 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；For at the moment
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change when section is t；For at the moment
3 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node i voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node j voltage change when section is t；I is node ID；j
For node ID；T is the serial number of moment section；
Using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summation letter
Number；
Utilize formula, eij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijBetween node i and node j it is electrical away from
From；Max (L) is the maximum value of weight in all sides of connection；
Using formula,The modularity index of the current individual is obtained,
In,
ρ is the modularity index in current individual；M is the sum of the weight on all sides in current individual；eijFor i-th of section
The weight on the side between point and j-th of node；kiThe sum of weight for all sides being connect with node i； kjTo be connect with node j
All sides the sum of weight；σ (i, j) is the characterization parameter whether node i and node j are located at same cluster, same cluster value
It is 1, is not all 0；I is node ID；J is node ID.
Optionally, described second module is obtained, is used for:
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
When net power, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is disconnected for the moment
The serial number in face, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
Controllable burden power regulation ability, wherein
For the power tune of controllable burden of the cluster in moment section t of the serial number c in the current individual
Energy saving power；λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can be according to network
History run summary obtain；For institute of the cluster in moment section t of the serial number c in the current individual
There is the controllable burden demand of node；
Using formula,Calculate i-th energy storage device of the current individual in moment section t
Energy storage power regulation ability, wherein
For the storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
The power regulation ability of energy；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
The power regulation ability of energy storage device, wherein
For the power regulation energy of cluster energy storage device in moment section t of the serial number c in the current individual
Power；For energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Power regulation ability；
Using formula,It is described when the one before after calculating power regulation
More than needed electricity index of the cluster of serial number c in body in moment section t, wherein
For more than needed electricity of the cluster in moment section t of the serial number c in the current individual after power regulation
Index；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation, this
At the time of place only considers that the power supply power output of cluster internal is greater than workload demand, that is, meetAt the time of section t when；For the power regulation ability of controllable burden of the cluster in moment section t of the serial number c in the current individual；For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；When t is
Carve the serial number of section, and t ∈ x；
Using formula,Electricity index more than needed after the considerations of calculating current individual digestion capability,
In,
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；N is
The quantity of cluster in current individual.
Optionally, described second module is obtained, is used for:
Using formula,The power regulation ability for calculating current individual energy storage obtains the current individual
Clustering performance index, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability
Figureofmerit；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is the module in current individual
Spend index；ω2For the weight of the modularity index in current individual.
The present invention has the advantage that compared with prior art
Using the embodiment of the present invention, using including the modularity index and use for community's detection based on electrical distance
In the cluster electricity index more than needed for measuring renewable energy power generation digestion capability, genetic algorithm is utilized to carry out distributed generation resource collection
Group divide, compared with the existing technology in simply with source lotus balance for condition assemblage classification method lack to system power adjust
The considerations of ability, leads to not the consumption for guaranteeing that divided cluster can make full use of system in planning and the operation in later period
Ability gives full play to the renewable energy digestion capability in system, therefore, using the embodiment of the present invention, can make drawing for cluster
It is more accurate to divide.
Detailed description of the invention
Fig. 1 is a kind of assemblage classification side of the power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The flow diagram of method；
Fig. 2 is a kind of assemblage classification side of the power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The schematic illustration of method；
Fig. 3 is a kind of assemblage classification dress of power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The structural schematic diagram set.
Specific embodiment
Elaborate below to the embodiment of the present invention, the present embodiment under the premise of the technical scheme of the present invention into
Row is implemented, and the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to following realities
Apply example.
The embodiment of the invention provides a kind of assemblage classification method of power distribution network based on high proportion renewable energy and dresses
It sets, first below with regard to a kind of assemblage classification side of the power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
Method is introduced.
Fig. 1 is a kind of assemblage classification side of the power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The flow diagram of method；Fig. 2 is a kind of cluster of the power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The schematic illustration of division methods, as depicted in figs. 1 and 2, which comprises
S101: the power distribution network of pending assemblage classification is abstracted as to the network being formed by connecting by node and side, and will be described
Connection relationship in network between two nodes interconnected indicated using the first preset value, by the network mutually it
Between connection relationship between connectionless two nodes use the second preset value to indicate, wherein take out in each power station in power distribution network
As for node, the connecting line between the power station is abstracted as side；
Specifically, may include several power stations in power distribution network, may exist connection relationship between each power station, it will be electric
Station is considered as node, using the connecting line between power station as the side between node, just obtained one have several nodes connect and
At complicated network.
S102: being changed to the second preset value for several first preset values in the network respectively at random, obtains change
Several corresponding individuals of network afterwards, and it regard the individual as current individual, wherein comprising at least in each individual
One cluster, and the cluster is the sub-network that several nodes in the network are formed by connecting；
In practical applications, there can be connection between node i and node j for the network for not carrying out assemblage classification
When relationship, the original value on the side of connecting node i and node j is set as 1, if connection relationship is not present between node i and node j
When, the original value on the side of connecting node i and node j is set as 0；
Then, the original value 1 on the side between several nodes is changed to 0 at random for the first time；At this point, having obtained individual
1；The original value 1 on the side between several nodes is changed to 0 at random for the second time；At this point, having obtained individual 2；And so on,
Obtain several individuals, wherein each individual has corresponded to the network structure after the required network for carrying out assemblage classification is divided
State.It include several independent sub-networks in each individual, each sub-network is a cluster.
S103: it is directed to each current individual, is obtained according to electrical link tightness degree between the node in the current individual
The modularity index of the current individual, according to the performance number of node each in the current individual, the current individual energy storage
Power regulation ability obtains the electricity index more than needed of the current individual, and according to the modularity index and described more than needed
Electricity index obtain the clustering performance index of the current individual；
(1), it can use formula,
Calculate the electrical distance of the current individual, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For when
It carves 1 reactive power of current individual interior joint when section is t and changes unit value corresponding node i voltage change；For when
It carves 1 reactive power of current individual interior joint when section is t and changes unit value corresponding node j voltage change；For at the moment
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change when section is t；For at the moment
3 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；To break constantly
Current individual interior joint n reactive power changes unit value corresponding node i voltage change when face is t；To break constantly
Current individual interior joint n reactive power changes unit value corresponding node j voltage change when face is t；I is node ID；J is
Node ID；T is the serial number of moment section.
In practical applications, when moment section is t, the reactive power of any node changes unit value in current individual,
Mathematical relationship between any corresponding node voltage change meets following power flow equation,
Wherein,
ΔδtFor when the moment, section was t in current individual the generator rotor angle increments of change of each node matrix；ΔVtFor when
Carve the matrix of the voltage change increment of each node in current individual when section is t；ΔPtTo work as the one before when the moment, section was t
The matrix of the active power increments of change of each node in body；ΔQtFor when the moment, section was t in current individual each node nothing
The matrix of function changed power increment.Above-mentioned matrix is n dimension matrix, and n is the sum for the node for including in all individuals；
For under moment t section, the generator rotor angle active po wer sensitivity coefficient matrix of each node；For under moment t section, the electricity of each node
It is pressed with function sensitivity coefficient matrix；For under moment t section, the voltage power-less sensitivity coefficient matrix of each node；When
It carves under t section, the generator rotor angle of each node is idle sensitivity coefficient matrix；For example, in matrixIn the i-th row j column element
Indicate the changing value of node j reactive power variation unit value corresponding node i voltage.
(2), using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summation letter
Number.
In practical applications, in assemblage classification, the time scale of application can be typical day, the typical moon, Typical Year etc.
Different time span, for example, typical day, is exactly the time scale foundation divided using one day time as clustering.In this hair
It, can be using typical day as time scale foundation, for example, containing in typical day so that step-length is 1 hour as an example in bright embodiment
24 hours, then there is x=24.
(3), formula, e are utilizedij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijBetween node i and node j it is electrical away from
From；Max (L) is the maximum value of weight in all sides connecting with node i；
(4), using formula,The modularity index of the current individual is obtained,
Wherein,
ρ is the modularity index of current individual, and value is between 0 and 1；M is the weight on all sides in current individual
The sum of；eijThe weight on the side between i-th of node and j-th of node；kiFor all sides being connect with node i weight it
With；kjThe sum of weight for all sides being connect with node j；σ (i, j) is whether node i and node j are located at same cluster
Characterization parameter；I is node ID；J is node ID.
For example, indicating node i when σ (i, j)=1 and node j being located in same cluster；When σ (i, j)=0, section is indicated
Point i and node j are not located in same cluster.
Furthermore it is possible to using formula,Calculate the sum of the weight on all sides in current individual.
(5), it can use formula,Section at the time of calculating the serial number c in the current individual
Net power when t, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is disconnected for the moment
The serial number in face, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
(6), using formula,The cluster for calculating the serial number c in the current individual breaks constantly
The power regulation ability of controllable burden when the t of face, wherein
For the power tune of controllable burden of the cluster in moment section t of the serial number c in the current individual
Energy saving power；λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can be according to network
History run summary obtain；For institute of the cluster in moment section t of the serial number c in the current individual
There is the controllable burden demand of node；
(7), using formula,Calculate i-th storage of the current individual in moment section t
The power regulation ability of the energy storage of energy device, wherein
For the storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
The power regulation ability of energy；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device.
Since the power regulation ability of energy storage device is related to the state-of-charge at its current time, power regulation is being measured
Constraint need to be met when ability:
Et≤EMax, wherein
EtFor energy storage device t moment charge value, with energy storage device initial quantity of electricity EinAnd charge efficiency ηc, electric discharge
Efficiency etadIt is related, and For the real-time discharge power of energy storage device；EMaxFor
The maximum charge value that energy storage device allows during the charging process.
(8), using formula,The cluster of the serial number c in the current individual is calculated in moment section
The power regulation ability of energy storage device when t, wherein
For the power regulation energy of cluster energy storage device in moment section t of the serial number c in the current individual
Power；For energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Power regulation ability；
(9), using formula,Described working as after calculating power regulation
More than needed electricity index of the cluster of serial number c in preceding individual in moment section t, wherein
For more than needed electricity of the cluster in moment section t of the serial number c in the current individual after power regulation
Index；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation, this
At the time of place only considers that the power supply power output of cluster internal is greater than workload demand, that is, meetAt the time of section t when；For the power regulation ability of controllable burden of the cluster in moment section t of the serial number c in the current individual；For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；When t is
Carve the serial number of section, and t ∈ x；.
More specifically, more than needed electricity of the cluster c in moment t after power regulationWhen calculating, in the time domain only in power supply
When power output is greater than workload demand, i.e.,Under conditions of just carry out power regulation.Simultaneously, it is contemplated that load side
The limitation that demand response is scheduled, when carrying out power regulation first with the power regulation ability of controllable burden
It is adjusted, if being still unsatisfactory for electricity index more than neededAgain with the power regulation ability of energy storageIt is adjusted, and works asWhen be not able to satisfy stillWhen, the power regulation ability of energy storageWith its maximum value PcCarry out power regulation.
(10), using formula,Electricity more than needed after the considerations of calculating current individual digestion capability refers to
Mark, wherein
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；N is
The quantity of cluster in current individual.
(11), using formula,The power regulation ability acquisition for calculating current individual energy storage is described current
The clustering performance index of individual, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability
Figureofmerit；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is the module in current individual
Spend index；ω2For the weight of the modularity index in current individual.
In practical applications, increase w1Value will increase the renewable energy digestion capability of high tension distribution system to be divided,
The electricity more than needed of reduction system, but the Node distribution of cluster tends to concentrate, cluster number is reduced, and the scale of each cluster increases；
Increase w2Value divided cluster physical structure can be made more preferable, cluster scale is moderate, and cluster interior nodes electrical couplings are more
Closely, however the renewable energy digestion capability of high tension distribution system to be divided can reduce.Inventors have found that generally to promote
It is contacted into the coupling for taking into account cluster internal node while renewable energy consumption to can choose when target: w1=3, w2=2
Weight combination when, the effect of assemblage classification is best.
S104: judge the minimum value in the corresponding clustering performance index of each current individual whether less than
Whether three preset thresholds or the number of iterations reach the 4th preset threshold；If so, executing S105；If it is not, executing S106；
Specifically, judging whether the minimum value in the corresponding clustering performance index of each current individual is less than
Third predetermined threshold value, if so, S105 step is executed, if it is not, executing S106 step.
Specifically, judging whether iteration has reached the 4th preset threshold at this time, if so, S105 step is executed, if it is not, holding
Row S106 step.
S105: the network connection framework that the corresponding current individual of clustering performance index value minimum value is represented as
Target connects framework；
It is exported the assemblage classification result represented when the corresponding individual of previous iteration as target connection framework.
S106: the variation of intersection and individual carrying out individual selection, individual to population using genetic algorithm is handled,
And using individual corresponding to treated network as current individual, return and execute the step S104, connects until obtaining target
Connect framework.
Specifically, when carrying out individual choice, it can be according to the selection method of Common Genetic Algorithm, such as roulette selection
Method etc., the embodiment of the present invention are not defined the selection method of individual herein.
Specifically, the adjacency matrix for representing individual i can be in line by capable sequence when individual is intersected,
Such as: the second row of individual i adjacency matrix connects after the first row of individual i adjacency matrix, the third line of individual i adjacency matrix connects
After the second row of individual i adjacency matrix, and so on constitute an one-dimensional matrix.
Then the adjacency matrix of individual i+1 is arranged in the manner described above, obtains another one-dimensional matrix.
Then several elements of the same position of an individual i row element corresponding with individual i+1 are subjected to position
It exchanges.First half, latter half in one-dimensional matrix are included but are not limited to by the element of transposition, middle section, or
Perhaps several or setting quantity are a by one in one row element of person.
Then, variation step is carried out, in the step, only the connection relationship node obtained in S101 step is characterized
Value carries out mutation operation when being the first preset threshold, i.e. several in of " 1 ".The value variation on the side operated is 1-
Va, VaCharacterization value for the side obtained after S102 step process.
It is understood that if the value on the side between node i and node j is 1, the adjoining of place network or individual
The value that the element of node i and the connection relationship of node j is characterized in matrix is 1.
It after variation, returns and executes S104, until circulation terminates.
In the prior art, the application of cluster is so that being risen to the analysis of electric system by single node and being with cluster
One is whole.Under normal circumstances, in order to limit power giving toward higher voltage grade in high voltage distribution network, consideration can be again
The method of raw energy consumption is often only limited to a certain node, and such as a substation and its subordinate region are a node, planning,
The only quantity of electricity equilibrium of supply and demand of meter and node itself when control and operation, and has ignored the cooperation between node, is unable to fully
Power self-coordination ability in performance system realizes maximized renewable energy consumption.
It is understood that the prerequisite of the embodiment of the present invention is " to input the adjoining square of network to be divided shown in Fig. 2
Battle array and node power "." coding of genetic algorithm is carried out based on adjacency matrix, construct initial population " in Fig. 2 correspond to this
S101 step and S102 step in inventive embodiments.S1 corresponds to S103 step of the embodiment of the present invention to S3 step in Fig. 2.In Fig. 2
The judgement that iteration terminates corresponds to S104 step in the embodiment of the present invention, judging result be " Y " when, export optimized individual and
Show that clustering point result corresponds to S105 step of the embodiment of the present invention；When judging result is " N ", selection regeneration individual intersects
And corresponding S106 of the embodiment of the present invention step that makes a variation.
Using embodiment illustrated in fig. 1 of the present invention, referred to using the modularity for including the community's detection of being used for based on electrical distance
Mark and cluster for measuring renewable energy power generation digestion capability are had more than needed electricity index, utilize genetic algorithm to carry out distributed
Power supply assemblage classification, compared with the existing technology in simply with source lotus balance for condition assemblage classification method lack to system function
The considerations of rate regulating power, leads to not guarantee that divided cluster can make full use of system in planning and the operation in later period
Digestion capability, give full play to the renewable energy digestion capability in system, therefore, using the embodiment of the present invention, can make to collect
The division of group is more accurate.
Moreover, the functionality of the structural and cluster of cluster can be combined: be overcome using the embodiment of the present invention
The index pair of deficiency and gauge cluster digestion capability that common structure index considers renewable energy digestion capability
The deficiency that cluster external characteristics considers.And when seeking clustered result, multi-objective optimization question is converted into single goal and assigns one
Weight coefficient is determined, while simplifying calculating process, but also the division result of cluster is in cluster external characteristics and clustering performance
On reach a kind of specific balance.
Furthermore in embodiments of the present invention, modularity index and electricity index more than needed are all made of typical timing scene, phase
It is more reasonable than in the assemblage classification based on a certain moment value.
Finally, in the embodiment of the present invention, the electricity index more than needed of cluster can be again from the angle analysis cluster of power regulation
Raw energy consumption ability, the balance that traditional consideration cluster source lotus Leveraging Extensions are stored up to source lotus.Simultaneously using adjacent based on network
The genetic algorithm encoding mode for connecing matrix, limits the connectivity of cluster interior nodes, so that assemblage classification meets network rack knot
The requirement of structure, to realize the assemblage classification of meter and the storage of source net lotus.
Corresponding with embodiment illustrated in fig. 1 of the present invention, the embodiment of the invention also provides one kind based on renewable at high proportion
The assemblage classification device of the power distribution network of the energy.
Fig. 3 is a kind of assemblage classification dress of power distribution network based on high proportion renewable energy provided in an embodiment of the present invention
The structural schematic diagram set, as shown in figure 3, described device includes:
Abstract module 301, for the power distribution network of pending assemblage classification to be abstracted as the net being formed by connecting by node and side
Network, and the connection relationship between two nodes interconnected in the network is indicated using the first preset value, by the net
Connection relationship in network between two nodes connectionless between each other is indicated using the second preset value, wherein in power distribution network
Each power station is abstracted as node, and the connecting line between the power station is abstracted as side；
First obtains module 302, for several first preset values in the network to be changed to second respectively at random
Preset value, several corresponding individuals of network after obtaining change, and it regard the individual as current individual, wherein each
It include at least one cluster in individual, and the cluster is the sub-network that several nodes in the network are formed by connecting；
Second obtains module 303, for being directed to each current individual, according to electrical between the node in the current individual
Connection tightness degree obtains the modularity index of the current individual, according to the performance number of node each in the current individual, institute
The power regulation ability for stating current individual energy storage obtains the electricity index more than needed of the current individual, and according to the modularity
Index and the electricity index more than needed obtain the clustering performance index of the current individual；
Judgment module 304, for judging that minimum value is in the corresponding clustering performance index of each current individual
It is no whether to reach the 4th preset threshold less than third predetermined threshold value or the number of iterations；
First setup module 305, for the judging result of the judgment module 304 be in the case where, by sociability
The connection framework for the network that the corresponding current individual of energy index value minimum value represents connects framework as target；
Second setup module 306, for utilizing heredity in the case where the judging result of the judgment module 304 is no
The variation of intersection and individual algorithm carries out the selection of individual, individual between population is handled, and will be corresponding to treated network
Individual as current individual, triggering judgment module 304 is returned to, until obtaining target connects framework.
Using embodiment illustrated in fig. 3 of the present invention, referred to using the modularity for including the community's detection of being used for based on electrical distance
Mark and cluster for measuring renewable energy power generation digestion capability are had more than needed electricity index, utilize genetic algorithm to carry out distributed
Power supply assemblage classification, compared with the existing technology in simply with source lotus balance for condition assemblage classification method lack to system function
The considerations of rate regulating power, leads to not guarantee that divided cluster can make full use of system in planning and the operation in later period
Digestion capability, give full play to the renewable energy digestion capability in system, therefore, using the embodiment of the present invention, can make to collect
The division of group is more accurate.
In a kind of specific embodiment of the embodiment of the present invention, described second obtains module 303, is used for:
Using formula,Described in calculating
The electrical distance of current individual, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For at the moment
1 reactive power of current individual interior joint changes unit value corresponding node i voltage change when section is t；For at the moment
1 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；For at the moment
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change when section is t；For at the moment
3 reactive power of current individual interior joint changes unit value corresponding node j voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node i voltage change when section is t；For at the moment
Current individual interior joint n reactive power changes unit value corresponding node j voltage change when section is t；I is node ID；j
For node ID；T is the serial number of moment section；
Using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summation letter
Number；
Utilize formula, eij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijBetween node i and node j it is electrical away from
From；Max (L) is the maximum value of weight in all sides connecting with node i；
Using formula,The modularity index of the current individual is obtained,
In,
ρ is the modularity index in current individual；M is the sum of the weight on all sides in current individual；eijFor i-th of section
The weight on the side between point and j-th of node；kiThe sum of weight for all sides being connect with node i； kjTo be connect with node j
All sides the sum of weight；σ (i, j) is the characterization parameter whether node i and node j are located at same cluster, same cluster value
It is 1, is not all 0；I is node ID；J is node ID.
In a kind of specific embodiment of the embodiment of the present invention, described second obtains module 303, is used for:
Using formula,It is net when section t at the time of calculating the serial number c in the current individual
Power, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is disconnected for the moment
The serial number in face, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
Controllable burden power regulation ability, wherein
For the power tune of controllable burden of the cluster in moment section t of the serial number c in the current individual
Energy saving power；λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can be according to network
History run summary obtain；For institute of the cluster in moment section t of the serial number c in the current individual
There is the controllable burden demand of node；
Using formula,Calculate i-th energy storage device of the current individual in moment section t
Energy storage power regulation ability, wherein
For the storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
The power regulation ability of energy；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device；
Using formula,The cluster of the serial number c in the current individual is calculated in moment section t
The power regulation ability of energy storage device, wherein
For the power regulation energy of cluster energy storage device in moment section t of the serial number c in the current individual
Power；For energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Power regulation ability；
Using formula,It is described when the one before after calculating power regulation
More than needed electricity index of the cluster of serial number c in body in moment section t, wherein
For more than needed electricity of the cluster in moment section t of the serial number c in the current individual after power regulation
Index；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation, this
At the time of place only considers that the power supply power output of cluster internal is greater than workload demand, that is, meetAt the time of section t when；For the power regulation ability of controllable burden of the cluster in moment section t of the serial number c in the current individual；
For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；T is disconnected for the moment
The serial number in face, and t ∈ x；
Using formula,Electricity index more than needed after the considerations of calculating current individual digestion capability,
In,
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；N is
The quantity of cluster in current individual.
In a kind of specific embodiment of the embodiment of the present invention, described second obtains module 303, is used for:
Using formula,Calculate the clustering performance index of current individual, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability
Figureofmerit；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is the module in current individual
Spend index；ω2For the weight of the modularity index in current individual.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. the assemblage classification method of the power distribution network based on high proportion renewable energy, which is characterized in that the described method includes:
1), the power distribution network of pending assemblage classification is abstracted as to the network being formed by connecting by node and side, and will be in the network
Connection relationship between two nodes interconnected, will be connectionless between each other in the network using the expression of the first preset value
Two nodes between connection relationship use the second preset value indicate, wherein each power station in power distribution network is abstracted as node,
Connecting line between the power station is abstracted as side；
2), random that several first preset values in the network are changed to the second preset value respectively, the net after obtaining change
Several corresponding individuals of network, and it regard the individual as current individual, wherein include at least one collection in each individual
Group, and the cluster is the sub-network that several nodes in the network are formed by connecting；
3) it, is directed to each current individual, is worked as according to electrical link tightness degree acquisition between the node in the current individual
The modularity index of preceding individual, according to the performance number of node each in the current individual, the power tune of the current individual energy storage
Energy saving power obtains the electricity index more than needed of the current individual, and according to the modularity index and the electricity index more than needed
Obtain the clustering performance index of the current individual；
4), judge whether the minimum value in the corresponding clustering performance index of each current individual is less than third and presets threshold
Whether value or the number of iterations reach the 4th preset threshold；
5), if so, the network connection framework that the corresponding current individual of clustering performance index value minimum value is represented is as mesh
Mark connection framework；
6), if it is not, the variation of intersection and individual carrying out individual selection, individual to population using genetic algorithm is handled, and
It using individual corresponding to treated network as current individual, returns and executes the step 4), until obtaining target connection frame
Structure.
2. the assemblage classification method of the power distribution network according to claim 1 based on high proportion renewable energy, feature exist
In the modularity that electrical link tightness degree obtains the current individual between the node according in the current individual refers to
Mark, comprising:
Using formula,It calculates described when the one before
The electrical distance of body, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For in moment section
1 reactive power of current individual interior joint changes unit value corresponding node i voltage change when for t；To be t in moment section
When 1 reactive power of current individual interior joint change unit value corresponding node j voltage change；For when the moment, section was t
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change；To work as when the moment, section was t
Preceding individual 3 reactive power of interior joint changes unit value corresponding node j voltage change；It is current when the moment, section was t
Individual interior joint n reactive power changes unit value corresponding node i voltage change；To work as the one before when the moment, section was t
Body interior joint n reactive power changes unit value corresponding node j voltage change；I is node ID；J is node ID；When t is
Carve the serial number of section；
Using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summing function；
Utilize formula, eij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijFor the electrical distance between node i and node j；max
It (L) is the maximum value of weight in all sides of connection；
Using formula,Obtain the modularity index of the current individual, wherein
ρ is the modularity index of current individual；M is the sum of the weight on all sides in current individual；eijFor i-th of node and jth
The weight on the side between a node；kiThe sum of weight for all sides being connect with node i；kjFor all sides being connect with node j
The sum of weight；σ (i, j) is the characterization parameter whether node i and node j are located at same cluster, and same cluster value is 1, different
It is 0；I is node ID；J is node ID.
3. the assemblage classification method of the power distribution network according to claim 1 based on high proportion renewable energy, feature exist
In the power regulation ability of the current individual energy storage obtains the electricity index more than needed of the current individual, comprising:
Using formula,The cluster for calculating the serial number c in the current individual is net in moment section t
Power, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is the sequence of moment section
Number, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
Using formula,The cluster for calculating the serial number c in the current individual is controllable in moment section t
The power regulation ability of load, wherein
For the power regulation ability of controllable burden of the cluster in moment section t of the serial number c in the current individual；
λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can be transported according to the history of network
The summary of market condition obtains；For the serial number c in the current individual all nodes of the cluster in moment section t can
Control workload demand；
Using formula,Calculate the storage of i-th energy storage device of the current individual in moment section t
The power regulation ability of energy, wherein
For the function of the energy storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
Rate regulating power；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device；
Using formula,The energy storage in moment section t of the cluster of the serial number c in the current individual is calculated to fill
The power regulation ability set, wherein
For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；
For the power regulation of energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Ability；
Using formula,In the current individual after calculating power regulation
More than needed electricity index of the cluster of serial number c in moment section t, wherein
For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation；For institute
State the power regulation ability of controllable burden of the cluster of the serial number c in current individual in moment section t；Work as to be described
The power regulation ability of cluster energy storage device in moment section t of serial number c in preceding individual；T is the serial number of moment section,
And t ∈ x；
Using formula,Electricity index more than needed after the considerations of calculating current individual digestion capability, wherein
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For
More than needed electricity index of the cluster of the serial number c in the current individual after power regulation in moment section t；N is current
The quantity of cluster in individual.
4. the assemblage classification method of the power distribution network according to claim 2 or 3 based on high proportion renewable energy, feature
It is, the clustering performance for obtaining the current individual according to the modularity index and the electricity index more than needed refers to
Mark, comprising:
Using formula,Calculate the clustering performance index of current individual, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability refers to
Mark；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is that the modularity in current individual refers to
Mark；ω2For the weight of the modularity index in current individual.
5. the assemblage classification device of the power distribution network based on high proportion renewable energy, which is characterized in that described device includes:
Abstract module, for the power distribution network of pending assemblage classification to be abstracted as the network being formed by connecting by node and side, and will
Connection relationship in the network between two nodes interconnected indicated using the first preset value, will be in the network mutually
Between connection relationship between connectionless two nodes use the second preset value to indicate, wherein each power station in power distribution network
It is abstracted as node, the connecting line between the power station is abstracted as side；
First obtains module, for several first preset values in the network to be changed to the second preset value respectively at random,
Several corresponding individuals of network after obtaining change, and it regard the individual as current individual, wherein it is wrapped in each individual
Containing at least one cluster, and the cluster is the sub-network that several nodes in the network are formed by connecting；
Second obtains module, close according to electrical link between the node in the current individual for being directed to each current individual
Degree obtains the modularity index of the current individual, according to the performance number of node each in the current individual, it is described work as the one before
The power regulation ability of body energy storage obtains the electricity index more than needed of the current individual, and according to the modularity index and institute
State the clustering performance index that electricity index more than needed obtain the current individual；
Judgment module, for judging whether the minimum value in the corresponding clustering performance index of each current individual is less than
Whether third predetermined threshold value or the number of iterations reach the 4th preset threshold；
First setup module, for the judging result of the judgment module be in the case where, by each current individual
The network connection framework that the minimum corresponding current individual of middle clustering performance index value represents connects framework as target；
Second setup module, for the judging result of the judgment module be it is no in the case where, using genetic algorithm to population
Carry out the variation processing of the intersection and individual between the selection of individual, individual, and by individual conduct corresponding to treated network
Current individual returns to triggering judgment module, until obtaining target connects framework.
6. the assemblage classification device of the power distribution network according to claim 5 based on high proportion renewable energy, feature exist
In, described second obtains module, it is used for:
Using formula,It calculates described when the one before
The electrical distance of body, wherein
For the electrical distance when the moment, section was t between current individual interior joint i and node j；For in moment section
1 reactive power of current individual interior joint changes unit value corresponding node i voltage change when for t；To be in moment section
1 reactive power of current individual interior joint changes unit value corresponding node j voltage change when t；For when the moment, section was t
2 reactive power of current individual interior joint changes unit value corresponding node i voltage change；To work as when the moment, section was t
Preceding individual 3 reactive power of interior joint changes unit value corresponding node j voltage change；It is current when the moment, section was t
Individual interior joint n reactive power changes unit value corresponding node i voltage change；To work as the one before when the moment, section was t
Body interior joint n reactive power changes unit value corresponding node j voltage change；I is node ID；J is node ID；When t is
Carve the serial number of section；
Using formula,Electrical distance between calculate node i and node j, wherein
LijFor the electrical distance between node i and node j；X is the number of moment section, and t ∈ x；∑ is summing function；
Utilize formula, eij=1-Lij/ max (L), the weight on the side between calculate node, wherein
eijThe weight on the side between i-th of node and j-th of node；LijFor the electrical distance between node i and node j；max
It (L) is the maximum value of weight in all sides of connection；
Using formula,Obtain the modularity index of the current individual, wherein
ρ is the modularity index of current individual；M is the sum of the weight on all sides in current individual；eijFor i-th of node and jth
The weight on the side between a node；kiThe sum of weight for all sides being connect with node i；kjFor all sides being connect with node j
The sum of weight；σ (i, j) is the characterization parameter whether node i and node j are located at same cluster, and same cluster value is 1, different
It is 0；I is node ID；J is node ID.
7. the assemblage classification device of the power distribution network according to claim 5 based on high proportion renewable energy, feature exist
In, described second obtains module, it is used for:
Using formula,The cluster for calculating the serial number c in the current individual is net in moment section t
Power, wherein
For net power of the cluster in moment section t of the serial number c in the current individual；T is the sequence of moment section
Number, and t ∈ x；Pi(t) the net power value for the i-th node in cluster c in moment section t；
Using formula,The cluster for calculating the serial number c in the current individual is controllable in moment section t
The power regulation ability of load, wherein
For the power regulation energy of controllable burden of the cluster in moment section t of the serial number c in the current individual
Power；λ is that the customer charge of controllable burden responds participation, indicates that user participates in the probability of demand response, can going through according to network
The summary of history operating condition obtains；For all nodes of the cluster in moment section t of the serial number c in the current individual
Controllable burden demand；
Using formula,Calculate the storage of i-th energy storage device of the current individual in moment section t
The power regulation ability of energy, wherein
For the function of the energy storage of i-th energy storage device of the cluster in moment section t of the serial number c in the current individual
Rate regulating power；P is the set of the power regulation ability of energy storage；PchFor the maximum charge power of energy storage device；
Using formula,The energy storage in moment section t of the cluster of the serial number c in the current individual is calculated to fill
The power regulation ability set, wherein
For the power regulation ability of cluster energy storage device in moment section t of the serial number c in the current individual；
For the power regulation of energy storage of i-th of the energy storage device in the cluster of the serial number c in the current individual in moment section t
Ability；
Using formula,In the current individual after calculating power regulation
More than needed electricity index of the cluster of serial number c in moment section t, wherein
For more than needed electricity index of the cluster in moment section t of the serial number c in the current individual after power regulation；For net power of the cluster in moment section t of the serial number c in current individual described before power regulation；For institute
State the power regulation ability of controllable burden of the cluster of the serial number c in current individual in moment section t；Work as to be described
The power regulation ability of cluster energy storage device in moment section t of serial number c in preceding individual；T is the serial number of moment section,
And t ∈ x；
Using formula,Electricity index more than needed after the considerations of calculating current individual digestion capability, wherein
Electricity index more than needed after the considerations of for current individual digestion capability；∑ is summing function；∫ is integral function；For
More than needed electricity index of the cluster of the serial number c in the current individual after power regulation in moment section t；N is current
The quantity of cluster in individual.
8. the assemblage classification device of the power distribution network according to claim 6 or 7 based on high proportion renewable energy, feature
It is, described second obtains module, it is used for:
Using formula,Calculate the clustering performance index of current individual, wherein
γ is the clustering performance index of the current individual；Electricity more than needed after the considerations of for current individual digestion capability refers to
Mark；ω1The weight of electricity index more than needed after the considerations of for current individual digestion capability；ρ is that the modularity in current individual refers to
Mark；ω2For the weight of the modularity index in current individual.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811397608.7A CN109829599B (en) | 2018-11-22 | 2018-11-22 | Cluster division method and device for power distribution network based on high-proportion renewable energy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811397608.7A CN109829599B (en) | 2018-11-22 | 2018-11-22 | Cluster division method and device for power distribution network based on high-proportion renewable energy |
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| Publication Number | Publication Date |
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