CN108599233A - A kind of power distribution network receiving capacity determining methods and device containing distributed generation resource - Google Patents
A kind of power distribution network receiving capacity determining methods and device containing distributed generation resource Download PDFInfo
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- CN108599233A CN108599233A CN201810309422.5A CN201810309422A CN108599233A CN 108599233 A CN108599233 A CN 108599233A CN 201810309422 A CN201810309422 A CN 201810309422A CN 108599233 A CN108599233 A CN 108599233A
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
Abstract
The present invention provides a kind of, and the power distribution network containing distributed generation resource receives capacity determining methods and device, first obtain the topological structure of power distribution network, distributed generation resource and the respective operation data of load and power distribution network, then the topological structure of power distribution network is pre-processed, and operation data is screened, consistency desired result and fusion, finally determine the receiving capacity of power distribution network, the operation data of acquisition is screened, consistency desired result and fusion, operation data after obtained fusion is accurate, and improves the accuracy that the power distribution network containing distributed generation resource receives capacity.The operation data that the present invention is obtained from different system, and the operation data of acquisition is merged, solve the problems, such as that the multiple system datas of power grid cannot be shared when distributed generation resource grid connection capacity calculating in the prior art, and the perfect calculating data of distributed generation resource grid connection capacity, it can truly reflect power distribution network actual conditions, the accuracy that the power distribution network containing distributed generation resource receives capacity can be effectively improved.
Description
Technical field
The present invention relates to the grid-connected analysis fields of new energy power generation technology, and in particular to a kind of power distribution network containing distributed generation resource
Receive capacity determining methods and device.
Background technology
Distributed generation resource has obtained more and more extensive concern and application in recent years, but distributed generation resource is different from tradition
The energy, large-scale grid connection are chosen while bringing huge economic and social profit by being brought to the safe operation of power distribution network
War.A large amount of distributed generation resources access the terminal or feeder terminal of power distribution networks at different levels, and trend, which is sent, raises access substation bus bar electricity
Pressure such as encounters cloudy weather particular for distributed photovoltaic power generation, and it is violent that photovoltaic goes out fluctuation, can bring voltage ripple of power network
The problems such as exceeded with power factor.With scale distributed generation resource access area power distribution network, power distribution network is to distributed generation resource
Receiving ability is increasingly becoming research hotspot.Receiving ability and the distribution net work structure of power distribution network after distributed generation resource access, are born operation
The matching of lotus and distributed generation resource sequential is all closely related, but since current electric distribution network data collection coverage rate is inadequate, and supervises
The various informations system such as control, energy management, distribution management, market operation is mostly mutual indepedent, and data cannot be shared, so existing
During determining that power distribution network containing distributed generation resource receives capacity in technology, power distribution network, load and distributed generation resource fortune
Row data are all relatively rough, generally only choose respective rated capacity and carry out quantitative estimation, and often only calculate single section, lead
Determining power distribution network is caused to receive capacity inaccurate, and the receiving ability of power distribution network determining through the above way can only ensure distribution
The safe operation of net limits the access of distributed generation resource.
Invention content
It is above-mentioned in the prior art since respectively operation data inaccuracy causes for power distribution network, load and distributed generation resource to overcome
Power distribution network containing distributed generation resource receive the deficiency of capacity inaccuracy, the present invention to provide a kind of power distribution network containing distributed generation resource
Capacity determining methods and device are received, power distribution network, distributed generation resource and the respective operation data of load and power distribution network are first obtained
Topological structure, then the topological structure of power distribution network is pre-processed, and operation data is screened, consistency desired result and
Fusion finally determines the receiving capacity of power distribution network, to obtaining according to the operation data after pretreated topological structure and fusion
The operation data taken screened, consistency desired result and fusion, and the operation data after obtained fusion is accurate, and improve containing point
The power distribution network of cloth power supply receives the accuracy of capacity.
In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical scheme that：
On the one hand, the present invention provides a kind of power distribution network receiving capacity determining methods containing distributed generation resource, including：
Obtain the topological structure of power distribution network, distributed generation resource and the respective operation data of load and power distribution network；
The topological structure of power distribution network is pre-processed, and operation data is screened, consistency desired result and fusion；
The receiving capacity of power distribution network is determined according to the operation data after pretreated topological structure and fusion.
The topological structure for obtaining power distribution network, distributed generation resource and the respective operation data of load and power distribution network, packet
It includes：
The topological structure and operation data of power distribution network are obtained from power network dispatching system, and are obtained from electrical power distribution automatization system
Take the topological structure and operation data of power distribution network；
The operation data of distributed generation resource is obtained from power network dispatching system and distributed generation resource monitoring system respectively；
The operation data of load is obtained from metering system and marketing system respectively；
The operation data includes real time data and historical data.
The topological structure to power distribution network pre-processes, including：
The node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
The device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
It is described operation data is screened, consistency desired result and fusion, including：
Power distribution network, distributed generation resource and the respective operation data of load are screened according to Kirchhoff's law, it will not
The operation data for meeting Kirchhoff's law is rejected, the operation data after being screened；
Power distribution network, distributed generation resource and the respective operation data of load after screening are carried out according to consistency desired result principle
Consistency desired result；
For being merged using D-S evidence theory composition rule by the operation data of consistency desired result, for not leading to
The operation data for crossing consistency desired result is merged using the D-S evidence theory composition rule of consideration confidence level factor.
It is described according to consistency desired result principle to power distribution network, distributed generation resource and the respective operation data of load after screening
Consistency desired result is carried out, including：
If the operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system is in the mistake of synchronization
Difference is no more than the first error threshold, and the operation data of power distribution network is not led to by consistency desired result, the otherwise operation data of power distribution network
Cross consistency desired result；
If the operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system is same
The error at moment is no more than the second error threshold, and the operation data of distributed generation resource is by consistency desired result, otherwise distributed electrical
The operation data in source does not pass through consistency desired result；
If the operation data of the load obtained from metering system and marketing system is no more than third in the error of synchronization
Error threshold, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
The operation data of the power distribution network after consistency desired result is merged according to D-S evidence theory composition rule, including：
The operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1Indicate from
The operation data for i-th of the equipment that power network dispatching system obtains, Ni2Indicate i-th of the equipment obtained from electrical power distribution automatization system
Operation data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)
=1-uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system
The substantially credible number of operation data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
According to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate electricity
The relative reliability of net scheduling system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
The operation data of the distributed generation resource after consistency desired result is merged according to D-S evidence theory composition rule,
Including：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from electricity
The operation data for j-th of distributed generation resource that net scheduling system obtains, Dj2Indicate the jth obtained from distributed generation resource monitoring system
The operation data of a equipment；m1(Dj) indicate that j-th of the basic of distributed generation resource operation data obtained from power network dispatching system can
Believe number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate to monitor system from distributed generation resource
The substantially credible number for j-th of the distributed generation resource operation data obtained of uniting, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource prison
The uncertainty of control system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Table
Show the relative reliability of power network dispatching system, andrD2Indicate the relatively credible of distributed generation resource monitoring system
Degree, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate distributed generation resource monitoring system
Absolute confidence degree.
The operation data of the load after consistency desired result is merged according to D-S evidence theory composition rule, including：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates from metering system
The operation data of k-th of the load obtained, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) table
Show the substantially credible number of k-th of the load operation data obtained from metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
The uncertainty of system；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2
(Lk)=1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
The relative reliability of system, andrL2Indicate the relative reliability of metering system, andRL1It indicates
The absolute confidence degree of marketing system, RL2Indicate the absolute confidence degree of metering system.
The operation data according to after pretreated topological structure and fusion determines the receiving capacity of power distribution network, packet
It includes：
Fortune after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
Row data, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, it obtains
The receiving capacity of power distribution network.
On the other hand, the present invention also provides a kind of, and the power distribution network containing distributed generation resource receives capacity determining device, including：
Acquisition module, for obtaining opening up for power distribution network, distributed generation resource and the respective operation data of load and power distribution network
Flutter structure；
Processing module is pre-processed for the topological structure to power distribution network, and is screened to operation data, consistency
Verification and fusion；
Determining module, for determining connecing for power distribution network according to the operation data after pretreated topological structure and fusion
Receive capacity.
The acquisition module includes：
First acquisition unit, topological structure and operation data for obtaining power distribution network from power network dispatching system, and from
The topological structure and operation data of power distribution network are obtained in electrical power distribution automatization system；
Second acquisition unit, for obtaining distributed generation resource from power network dispatching system and distributed generation resource monitoring system respectively
Operation data；
Third acquiring unit, the operation data for obtaining load from metering system and marketing system respectively；
The operation data includes real time data and historical data.
The processing module includes pretreatment unit, and the pretreatment unit is specifically used for：
The node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
The device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
The processing module includes：
Screening unit is used for according to Kirchhoff's law to power distribution network, distributed generation resource and the respective operation data of load
It is screened, the operation data for being unsatisfactory for Kirchhoff's law is rejected, the operation data after being screened；
Verification unit, for according to consistency desired result principle to power distribution network, distributed generation resource and the load after screening respectively
Operation data carry out consistency desired result；
Integrated unit, for being carried out using D-S evidence theory composition rule for the operation data by consistency desired result
Fusion, for by the operation data of consistency desired result using consider confidence level factor D-S evidence theory composition rule into
Row fusion.
The verification unit is specifically used for：
If the operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system is in the mistake of synchronization
Difference is no more than the first error threshold, and the operation data of power distribution network is not led to by consistency desired result, the otherwise operation data of power distribution network
Cross consistency desired result；
If the operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system is same
The error at moment is no more than the second error threshold, and the operation data of distributed generation resource is by consistency desired result, otherwise distributed electrical
The operation data in source does not pass through consistency desired result；
If the operation data of the load obtained from metering system and marketing system is no more than third in the error of synchronization
Error threshold, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
The integrated unit includes power distribution network operation data integrated unit, and the power distribution network operation data integrated unit is specific
For：
The operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1Indicate from
The operation data for i-th of the equipment that power network dispatching system obtains, Ni2Indicate i-th of the equipment obtained from electrical power distribution automatization system
Operation data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)
=1-uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system
The substantially credible number of operation data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
According to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate electricity
The relative reliability of net scheduling system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
The integrated unit includes distributed generation resource operation data integrated unit, the distributed generation resource operation data fusion
Unit is specifically used for：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from electricity
The operation data for j-th of distributed generation resource that net scheduling system obtains, Dj2Indicate the jth obtained from distributed generation resource monitoring system
The operation data of a equipment；m1(Dj) indicate that j-th of the basic of distributed generation resource operation data obtained from power network dispatching system can
Believe number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate to monitor system from distributed generation resource
The substantially credible number for j-th of the distributed generation resource operation data obtained of uniting, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource prison
The uncertainty of control system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Table
Show the relative reliability of power network dispatching system, andrD2Indicate the relatively credible of distributed generation resource monitoring system
Degree, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate distributed generation resource monitoring system
Absolute confidence degree.
The integrated unit includes load operation data fusion unit, and the load operation data fusion unit is specifically used
In：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates from metering system
The operation data of k-th of the load obtained, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) table
Show the substantially credible number of k-th of the load operation data obtained from metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
The uncertainty of system；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2
(Lk)=1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
The relative reliability of system, andrL2Indicate the relative reliability of metering system, andRL1It indicates
The absolute confidence degree of marketing system, RL2Indicate the absolute confidence degree of metering system.
The determining module is specifically used for：
Fortune after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
Row data, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, it obtains
The receiving capacity of power distribution network.
Compared with the immediate prior art, technical solution provided by the invention has the advantages that：
Power distribution network provided by the invention containing distributed generation resource is received in capacity determining methods, and power distribution network, distribution are first obtained
The topological structure of formula power supply and the respective operation data of load and power distribution network, then locates the topological structure of power distribution network in advance
Reason, and operation data being screened, consistency desired result and fusion, finally according to pretreated topological structure and fusion after
Operation data determine the receiving capacity of power distribution network, the operation data of acquisition is screened, consistency desired result and fusion, is obtained
Fusion after operation data it is accurate, and improve the accuracy that power distribution network containing distributed generation resource receives capacity；
It includes acquisition module, processing module that power distribution network provided by the invention containing distributed generation resource, which receives capacity determining device,
And determining module, acquisition module are used to obtain power distribution network, distributed generation resource and the respective operation data of load and power distribution network
Topological structure, processing module screen operation data, consistency for being pre-processed to the topological structure of power distribution network
Verification and fusion, determining module are used to determine power distribution network according to the operation data after pretreated topological structure and fusion
Capacity is received, the operation data of acquisition is screened by processing module, consistency desired result and fusion, after obtained fusion
Operation data is accurate, and improves the accuracy that the power distribution network containing distributed generation resource receives capacity；
The present invention provides the topology that technical solution obtains power distribution network from power network dispatching system and electrical power distribution automatization system respectively
Structure and operation data obtain the operation number of distributed generation resource from power network dispatching system and distributed generation resource monitoring system respectively
According to, and the operation data of load is obtained from metering system and marketing system respectively, and the operation data to being obtained from different system
It is merged, what the multiple system datas of power grid cannot be shared when solving distributed generation resource grid connection capacity calculating in the prior art asks
Topic；
The present invention provides technical solution and passes through the perfect calculating of distributed generation resource grid connection capacity of fusion to operation data
Data can truly reflect power distribution network actual conditions；
The present invention provides technical solution and carries out sequential Load flow calculation to power distribution network of the distributed generation resource after grid-connected, can be effective
Improve the accuracy that the power distribution network containing distributed generation resource receives capacity.
Description of the drawings
Fig. 1 is that the power distribution network containing distributed generation resource receives capacity determining methods flow chart in the embodiment of the present invention 1；
Fig. 2 is power distribution network topological structure schematic diagram in the embodiment of the present invention 2；
Fig. 3 is the load operation schematic diagram data after being merged in the embodiment of the present invention 2；
Fig. 4 is the photovoltaic cells operation data schematic diagram merged in the embodiment of the present invention 2.
Specific implementation mode
Invention is further described in detail below in conjunction with the accompanying drawings.
Embodiment 1
The embodiment of the present invention 1 provides a kind of power distribution network receiving capacity determining methods containing distributed generation resource, particular flow sheet
As shown in Figure 1, detailed process is as follows：
S101：Obtain the topological structure of power distribution network, distributed generation resource and the respective operation data of load and power distribution network；
S102：The topological structure of power distribution network is pre-processed, and operation data is screened, consistency desired result and is melted
It closes；
S103：The receiving capacity of power distribution network is determined according to the operation data after pretreated topological structure and fusion.
In above-mentioned S101, the topology of power distribution network, distributed generation resource and the respective operation data of load and power distribution network is obtained
Structure, detailed process are as follows：
1) topological structure and operation data of power distribution network are obtained from power network dispatching system, and from electrical power distribution automatization system
Obtain the topological structure and operation data of power distribution network；
2) operation data of distributed generation resource is obtained from power network dispatching system and distributed generation resource monitoring system respectively；
3) operation data of load is obtained from metering system and marketing system respectively；
Above-mentioned operation data includes real time data and historical data.
In above-mentioned S102, the topological structure of power distribution network is pre-processed, detailed process is as follows：
1, the node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
2, the device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
In above-mentioned S102, operation data is screened, consistency desired result and fusion, detailed process it is as follows：
1) power distribution network, distributed generation resource and the respective operation data of load are screened according to Kirchhoff's law, it will
The operation data for being unsatisfactory for Kirchhoff's law is rejected, the operation data after being screened；
2) according to consistency desired result principle to power distribution network, distributed generation resource and the respective operation data of load after screening into
Row consistency desired result；
3) for being merged using D-S evidence theory composition rule by the operation data of consistency desired result, for not
It is merged using the D-S evidence theory composition rule of consideration confidence level factor by the operation data of consistency desired result.
It is above-mentioned 2) in, according to consistency desired result principle to power distribution network, distributed generation resource and the respective fortune of load after screening
Row data carry out consistency desired result, specific as follows：
If 2-1) operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system is in synchronization
Error be no more than the first error threshold, the operation data of power distribution network is by consistency desired result, the otherwise operation data of power distribution network
Do not pass through consistency desired result；
If 2-2) operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system exists
The error of synchronization is no more than the second error threshold, otherwise the operation data of distributed generation resource is distributed by consistency desired result
The operation data of formula power supply does not pass through consistency desired result；
If 2-3) operation data of the load obtained from metering system and marketing system is no more than in the error of synchronization
Third error threshold, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
It is above-mentioned 3) in, for being merged using D-S evidence theory composition rule by the operation data of consistency desired result,
For not melted using the D-S evidence theory composition rule of consideration confidence level factor by the operation data of consistency desired result
It closes, is specifically divided into following three aspect：
3-1) operation data of the power distribution network after consistency desired result is merged according to D-S evidence theory composition rule,
It operation data i.e. to the power distribution network by parity check and is not carried out respectively by the operation data of the power distribution network of parity check
Fusion, it is specific as follows：
The operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1Indicate from
The operation data for i-th of the equipment that power network dispatching system obtains, Ni2Indicate i-th of the equipment obtained from electrical power distribution automatization system
Operation data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)
=1-uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system
The substantially credible number of operation data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
According to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate electricity
The relative reliability of net scheduling system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
3-2) operation data of the distributed generation resource after consistency desired result is melted according to D-S evidence theory composition rule
It closes, i.e., the operation data to the distributed generation resource by parity check and does not pass through the operation number of the distributed generation resource of parity check
It is specific as follows according to being merged respectively：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from electricity
The operation data for j-th of distributed generation resource that net scheduling system obtains, Dj2Indicate the jth obtained from distributed generation resource monitoring system
The operation data of a equipment；m1(Dj) indicate that j-th of the basic of distributed generation resource operation data obtained from power network dispatching system can
Believe number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate to monitor system from distributed generation resource
The substantially credible number for j-th of the distributed generation resource operation data obtained of uniting, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource prison
The uncertainty of control system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Table
Show the relative reliability of power network dispatching system, andrD2Indicate the relatively credible of distributed generation resource monitoring system
Degree, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate distributed generation resource monitoring system
Absolute confidence degree.
3-3) operation data of the load after consistency desired result is merged according to D-S evidence theory composition rule, i.e.,
It operation data to the load by consistency desired result and is not carried out respectively by the operation data of the load of consistency desired result
Fusion, it is specific as follows：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates from metering system
The operation data of k-th of the load obtained, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) table
Show the substantially credible number of k-th of the load operation data obtained from metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
The uncertainty of system；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2
(Lk)=1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
The relative reliability of system, andrL2Indicate the relative reliability of metering system, andRL1It indicates
The absolute confidence degree of marketing system, RL2Indicate the absolute confidence degree of metering system.
In above-mentioned S103, the receiving of power distribution network is determined according to the operation data after pretreated topological structure and fusion
Capacity, it is specific as follows：
Fortune after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
Row data, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, it obtains
The receiving capacity of power distribution network.
Based on same inventive concept, it is true that the embodiment of the present invention also provides a kind of power distribution network receiving capacity containing distributed generation resource
Determine device, including acquisition module, processing module and determining module, the function of above three module is carried out specifically separately below
It is bright：
Acquisition module therein, for obtaining power distribution network, distributed generation resource and the respective operation data of load and distribution
The topological structure of net；
Processing module therein is pre-processed for the topological structure to power distribution network, and operation data is screened,
Consistency desired result and fusion；
Determining module therein, for determining distribution according to the operation data after pretreated topological structure and fusion
The receiving capacity of net.
Above-mentioned acquisition module includes：
First acquisition unit, topological structure and operation data for obtaining power distribution network from power network dispatching system, and from
The topological structure and operation data of power distribution network are obtained in electrical power distribution automatization system；
Second acquisition unit, for obtaining distributed generation resource from power network dispatching system and distributed generation resource monitoring system respectively
Operation data；
Third acquiring unit, the operation data for obtaining load from metering system and marketing system respectively；
Above-mentioned operation data includes real time data and historical data.
Above-mentioned processing module includes pretreatment unit, and pretreatment unit is specifically used for：
1, the node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
2, the device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
Above-mentioned processing module includes：
Screening unit is used for according to Kirchhoff's law to power distribution network, distributed generation resource and the respective operation data of load
It is screened, the operation data for being unsatisfactory for Kirchhoff's law is rejected, the operation data after being screened；
Verification unit, for according to consistency desired result principle to power distribution network, distributed generation resource and the load after screening respectively
Operation data carry out consistency desired result；
Integrated unit, for being carried out using D-S evidence theory composition rule for the operation data by consistency desired result
Fusion, for by the operation data of consistency desired result using consider confidence level factor D-S evidence theory composition rule into
Row fusion.
Verification unit is according to consistency desired result principle to power distribution network, distributed generation resource and the respective operation of load after screening
Data carry out consistency desired result, specific as follows：
1) if the operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system is in synchronization
Error is no more than the first error threshold, and the operation data of power distribution network is by consistency desired result, and otherwise the operation data of power distribution network is not
Pass through consistency desired result；
2) if the operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system is same
The error at one moment is no more than the second error threshold, and the operation data of distributed generation resource is otherwise distributed by consistency desired result
The operation data of power supply does not pass through consistency desired result；
3) if the operation data of the load obtained from metering system and marketing system is no more than the in the error of synchronization
Three error thresholds, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
Above-mentioned integrated unit includes power distribution network operation data integrated unit, and power distribution network operation data integrated unit is specifically used for
Two aspect below：
1) operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1Indicate from
The operation data for i-th of the equipment that power network dispatching system obtains, Ni2Indicate i-th of the equipment obtained from electrical power distribution automatization system
Operation data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)
=1-uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system
The substantially credible number of operation data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
2) according to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate electricity
The relative reliability of net scheduling system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
Above-mentioned integrated unit includes distributed generation resource operation data integrated unit, distributed generation resource operation data integrated unit
Specifically for following two aspects：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from electricity
The operation data for j-th of distributed generation resource that net scheduling system obtains, Dj2Indicate the jth obtained from distributed generation resource monitoring system
The operation data of a equipment；m1(Dj) indicate that j-th of the basic of distributed generation resource operation data obtained from power network dispatching system can
Believe number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate to monitor system from distributed generation resource
The substantially credible number for j-th of the distributed generation resource operation data obtained of uniting, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource prison
The uncertainty of control system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Table
Show the relative reliability of power network dispatching system, andrD2Indicate the relatively credible of distributed generation resource monitoring system
Degree, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate distributed generation resource monitoring system
Absolute confidence degree.
Above-mentioned integrated unit includes load operation data fusion unit, and load operation data fusion unit is specifically used for following
Two aspects：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates from metering system
The operation data of k-th of the load obtained, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) table
Show the substantially credible number of k-th of the load operation data obtained from metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
The uncertainty of system；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2
(Lk)=1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
The relative reliability of system, andrL2Indicate the relative reliability of metering system, andRL1It indicates
The absolute confidence degree of marketing system, RL2Indicate the absolute confidence degree of metering system.
Determining module determines that the receiving of power distribution network is held according to the operation data after pretreated topological structure and fusion
Amount, detailed process are as follows：
Fortune after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
Row data, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, it obtains
The receiving capacity of power distribution network.
Embodiment 2
The power distribution network topological structure that the embodiment of the present invention 2 uses is as shown in Fig. 2, the power distribution network includes 25 nodes, number
Respectively 0,1,2 ..., 24, the connection relation of each node and load is obtained, such as table 1：
Table 1
From the parameter information for obtaining each circuit in power distribution network in electrical power distribution automatization system, such as table 2：
Table 2
Load operation data are obtained from metering system and marketing system respectively, and carry out multi-data source load data fusion,
Load operation data after being merged are as shown in figure 3, wherein bold portion is the load operation number under large load operation mode
According to dotted portion is the load operation data under the Smaller load method of operation.
The operation data of distributed photovoltaic power generation is obtained from power network dispatching system and distributed generation resource monitoring system respectively,
And the fusion of multi-data source photovoltaic operation data is carried out, the photovoltaic cells operation data after being merged is as shown in figure 4, be illustrated as this
Light when the day operation data of every hundred kilowatts of photovoltaic cells in power distribution network power supply area, wherein bold portion are the fine day after fusion
Lie prostrate operation data, dotted portion be merge after it is cloudy when photovoltaic operation data.Consider the sequential of distributed photovoltaic and load
Matching properties carry out sequential Load flow calculation, and calculating cycle is a consecutive days.
Finally, power distribution network can be obtained according to the load operation data after fusion and the photovoltaic cells operation data after fusion
Receiving capacity.The embodiment of the present invention 2 using distribution network voltage fluctuate and deviation as limits value to grid-connected receiving capacity into
Row is quantitative to be calculated, and can at most receive the photovoltaic system of 12.8MW, is limited its photovoltaic and is received the principal element of ability super for voltage
Mark problem.
For convenience of description, each section of apparatus described above is divided into various modules with function or unit describes respectively.
Certainly, each module or the function of unit can be realized in same or multiple softwares or hardware when implementing the application.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, institute
The those of ordinary skill in category field with reference to above-described embodiment still can to the present invention specific implementation mode modify or
Equivalent replacement, these are applying for this pending hair without departing from any modification of spirit and scope of the invention or equivalent replacement
Within bright claims.
Claims (18)
1. a kind of power distribution network containing distributed generation resource receives capacity determining methods, which is characterized in that including：
Obtain the topological structure of power distribution network, distributed generation resource and the respective operation data of load and power distribution network；
The topological structure of power distribution network is pre-processed, and operation data is screened, consistency desired result and fusion；
The receiving capacity of power distribution network is determined according to the operation data after pretreated topological structure and fusion.
2. the power distribution network according to claim 1 containing distributed generation resource receives capacity determining methods, which is characterized in that described
The topological structure of power distribution network, distributed generation resource and the respective operation data of load and power distribution network is obtained, including：
The topological structure and operation data of power distribution network are obtained from power network dispatching system, and are obtained and matched from electrical power distribution automatization system
The topological structure and operation data of power grid；
The operation data of distributed generation resource is obtained from power network dispatching system and distributed generation resource monitoring system respectively；
The operation data of load is obtained from metering system and marketing system respectively；
The operation data includes real time data and historical data.
3. the power distribution network according to claim 1 containing distributed generation resource receives capacity determining methods, which is characterized in that described
The topological structure of power distribution network is pre-processed, including：
The node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
The device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
4. the power distribution network according to claim 2 containing distributed generation resource receives capacity determining methods, which is characterized in that described
Operation data is screened, consistency desired result and fusion, including：
Power distribution network, distributed generation resource and the respective operation data of load are screened according to Kirchhoff's law, will be unsatisfactory for
The operation data of Kirchhoff's law is rejected, the operation data after being screened；
It is consistent with the respective operation data progress of load to power distribution network, the distributed generation resource after screening according to consistency desired result principle
Property verification；
For being merged using D-S evidence theory composition rule by the operation data of consistency desired result, for not passing through one
The operation data of cause property verification is merged using the D-S evidence theory composition rule of consideration confidence level factor.
5. the power distribution network according to claim 4 containing distributed generation resource receives capacity determining methods, which is characterized in that described
Consistency school is carried out to power distribution network, distributed generation resource and the respective operation data of load after screening according to consistency desired result principle
It tests, including：
If the operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system synchronization error not
More than the first error threshold, the operation data of power distribution network does not pass through one by consistency desired result, the otherwise operation data of power distribution network
The verification of cause property；
If the operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system is in synchronization
Error be no more than the second error threshold, the operation data of distributed generation resource is by consistency desired result, otherwise distributed generation resource
Operation data does not pass through consistency desired result；
If the operation data of the load obtained from metering system and marketing system is no more than third error in the error of synchronization
Threshold value, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
6. the power distribution network according to claim 4 containing distributed generation resource receives capacity determining methods, which is characterized in that according to
D-S evidence theory composition rule merges the operation data of the power distribution network after consistency desired result, including：
The operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1It indicates from power grid
The operation data for i-th of the equipment that scheduling system obtains, Ni2Indicate the operation of i-th of the equipment obtained from electrical power distribution automatization system
Data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)=1-
uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system operation
The substantially credible number of data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
According to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate power grid tune
The relative reliability of degree system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
7. the power distribution network according to claim 4 containing distributed generation resource receives capacity determining methods, which is characterized in that according to
D-S evidence theory composition rule merges the operation data of the distributed generation resource after consistency desired result, including：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from power grid tune
The operation data for j-th of distributed generation resource that degree system obtains, Dj2It indicates to set for j-th obtained from distributed generation resource monitoring system
Standby operation data；m1(Dj) indicate the substantially credible of j-th of the distributed generation resource operation data obtained from power network dispatching system
Number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate from distributed generation resource monitoring system
The substantially credible number of j-th of the distributed generation resource operation data obtained, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource monitoring
The uncertainty of system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Indicate electricity
The relative reliability of net scheduling system, andrD2Indicate the relative reliability of distributed generation resource monitoring system, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate that the absolute of distributed generation resource monitoring system can
Reliability.
8. the power distribution network according to claim 4 containing distributed generation resource receives capacity determining methods, which is characterized in that according to
D-S evidence theory composition rule merges the operation data of the load after consistency desired result, including：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates to obtain from metering system
K-th of load operation data, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) indicate from
The substantially credible number of k-th of the load operation data obtained in metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
Uncertainty；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2(Lk)=
1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
Relative reliability, andrL2Indicate the relative reliability of metering system, andRL1Indicate marketing
The absolute confidence degree of system, RL2Indicate the absolute confidence degree of metering system.
9. the power distribution network according to claim 4 containing distributed generation resource receives capacity determining methods, which is characterized in that described
The receiving capacity of power distribution network is determined according to the operation data after pretreated topological structure and fusion, including：
Operation number after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
According to, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, obtain distribution
The receiving capacity of net.
10. a kind of power distribution network containing distributed generation resource receives capacity determining device, which is characterized in that including：
Acquisition module, the topology knot for obtaining power distribution network, distributed generation resource and the respective operation data of load and power distribution network
Structure；
Processing module is pre-processed for the topological structure to power distribution network, and is screened to operation data, consistency desired result
And fusion；
Determining module, for determining that the receiving of power distribution network is held according to the operation data after pretreated topological structure and fusion
Amount.
11. the power distribution network according to claim 10 containing distributed generation resource receives capacity determining device, which is characterized in that institute
Stating acquisition module includes：
First acquisition unit, topological structure and operation data for obtaining power distribution network from power network dispatching system, and from distribution
The topological structure and operation data of power distribution network are obtained in automated system；
Second acquisition unit, the fortune for obtaining distributed generation resource from power network dispatching system and distributed generation resource monitoring system respectively
Row data；
Third acquiring unit, the operation data for obtaining load from metering system and marketing system respectively；
The operation data includes real time data and historical data.
12. the power distribution network according to claim 10 containing distributed generation resource receives capacity determining device, which is characterized in that institute
It includes pretreatment unit to state processing module, and the pretreatment unit is specifically used for：
The node number of power distribution network is pre-processed by following processes：
If 1) occur, without node number, supplementing the node number of power distribution network；
2) if node number mistake occur or node sky is hung, the node number of power distribution network is corrected；
The device parameter of power distribution network is pre-processed by following processes：
If 1) there is parameter missing, the device parameter of power distribution network is supplemented；
If 2) there is parameter error, the device parameter of power distribution network is corrected.
13. the power distribution network according to claim 11 containing distributed generation resource receives capacity determining device, which is characterized in that institute
Stating processing module includes：
Screening unit, for being carried out to power distribution network, distributed generation resource and the respective operation data of load according to Kirchhoff's law
Screening rejects the operation data for being unsatisfactory for Kirchhoff's law, the operation data after being screened；
Verification unit is used for according to consistency desired result principle to power distribution network, distributed generation resource and the respective fortune of load after screening
Row data carry out consistency desired result；
Integrated unit, for for being merged using D-S evidence theory composition rule by the operation data of consistency desired result,
For not melted using the D-S evidence theory composition rule of consideration confidence level factor by the operation data of consistency desired result
It closes.
14. the power distribution network according to claim 13 containing distributed generation resource receives capacity determining device, which is characterized in that institute
Verification unit is stated to be specifically used for：
If the operation data of the power distribution network obtained from power network dispatching system and electrical power distribution automatization system synchronization error not
More than the first error threshold, the operation data of power distribution network does not pass through one by consistency desired result, the otherwise operation data of power distribution network
The verification of cause property；
If the operation data of the distributed generation resource obtained from power network dispatching system and distributed generation resource monitoring system is in synchronization
Error be no more than the second error threshold, the operation data of distributed generation resource is by consistency desired result, otherwise distributed generation resource
Operation data does not pass through consistency desired result；
If the operation data of the load obtained from metering system and marketing system is no more than third error in the error of synchronization
Threshold value, the operation data of load do not pass through consistency desired result by consistency desired result, the otherwise operation data of load.
15. the power distribution network according to claim 13 containing distributed generation resource receives capacity determining device, which is characterized in that institute
It includes power distribution network operation data integrated unit to state integrated unit, and the power distribution network operation data integrated unit is specifically used for：
The operation data of the power distribution network by parity check is merged according to the following formula：
Wherein, NiIndicate the operation data by i-th of equipment after parity check and fusion in power distribution network；Ni1It indicates from power grid
The operation data for i-th of the equipment that scheduling system obtains, Ni2Indicate the operation of i-th of the equipment obtained from electrical power distribution automatization system
Data；m1(Ni) indicate the substantially credible number of i-th of equipment operating data obtained from power network dispatching system, and m1(Ni)=1-
uN1, uN1Indicate the uncertainty of power network dispatching system；m2(Ni) indicate i-th of the equipment obtained from electrical power distribution automatization system operation
The substantially credible number of data, and m2(Ni)=1-uN2, uN2Indicate the uncertainty of electrical power distribution automatization system；
According to the following formula to not merged by the operation data of the power distribution network of parity check：
Wherein, NiDo not pass through the operation data of i-th of equipment after parity check and fusion in ' power distribution network；rN1Indicate power grid tune
The relative reliability of degree system, andrN2Indicate the relative reliability of electrical power distribution automatization system, andRN1Indicate the absolute confidence degree of power network dispatching system, RN2Indicate the absolute confidence of electrical power distribution automatization system
Degree.
16. the power distribution network according to claim 13 containing distributed generation resource receives capacity determining device, which is characterized in that institute
It includes distributed generation resource operation data integrated unit to state integrated unit, and the distributed generation resource operation data integrated unit is specifically used
In：
The operation data of the distributed generation resource by parity check is merged according to the following formula：
Wherein, DjIndicate the operation data of j-th of distributed generation resource by parity check and after merging；Dj1It indicates from power grid tune
The operation data for j-th of distributed generation resource that degree system obtains, Dj2It indicates to set for j-th obtained from distributed generation resource monitoring system
Standby operation data；m1(Dj) indicate the substantially credible of j-th of the distributed generation resource operation data obtained from power network dispatching system
Number, and m1(Dj)=1-uD1, uD1Indicate the uncertainty of power network dispatching system；m2(Dj) indicate from distributed generation resource monitoring system
The substantially credible number of j-th of the distributed generation resource operation data obtained, and m2(Dj)=1-uD2, uD2Indicate distributed generation resource monitoring
The uncertainty of system；
According to the following formula to not merged by the operation data of the distributed generation resource of parity check：
Wherein, DjDo not pass through the operation data of j-th of distributed generation resource after parity check and fusion in ' expression；rD1Indicate electricity
The relative reliability of net scheduling system, andrD2Indicate the relative reliability of distributed generation resource monitoring system, andRD1Indicate the absolute confidence degree of power network dispatching system, RD2Indicate that the absolute of distributed generation resource monitoring system can
Reliability.
17. the power distribution network according to claim 13 containing distributed generation resource receives capacity determining device, which is characterized in that institute
It includes load operation data fusion unit to state integrated unit, and the load operation data fusion unit is specifically used for：
The operation data of the load by parity check is merged according to the following formula：
Wherein, LkIndicate the operation data of k-th of load by parity check and after merging；Lk1It indicates to obtain from metering system
K-th of load operation data, Lk2Indicate the operation data of k-th of the load obtained from marketing system；m1(Lk) indicate from
The substantially credible number of k-th of the load operation data obtained in metering system, and m1(Lk)=1-uL1, uL1Indicate marketing system
Uncertainty；m2(Lk) indicate the substantially credible number of k-th of load operation data obtained from metering system, and m2(Lk)=
1-uL2, uL2Indicate the uncertainty of metering system；
According to the following formula to not merged by the operation data of the load of parity check：
Wherein, Lk' indicate not pass through the operation data of k-th of load after parity check and fusion；rL1Indicate marketing system
Relative reliability, andrL2Indicate the relative reliability of metering system, andRL1Indicate marketing
The absolute confidence degree of system, RL2Indicate the absolute confidence degree of metering system.
18. the power distribution network according to claim 13 containing distributed generation resource receives capacity determining device, which is characterized in that institute
Determining module is stated to be specifically used for：
Operation number after respectively being merged according to the topological structure of pretreated power distribution network, power distribution network, distributed generation resource and load
According to, and sequential Load flow calculation is carried out to power distribution network of the distributed generation resource after grid-connected by power system simulation software, obtain distribution
The receiving capacity of net.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113422827A (en) * | 2021-06-23 | 2021-09-21 | 南方电网数字电网研究院有限公司 | Real-time synchronization integration system of comprehensive data of power grid based on streaming technology |
| US11811232B2 (en) | 2021-03-18 | 2023-11-07 | General Electric Company | Battery state of charge compensation |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103066620A (en) * | 2012-12-24 | 2013-04-24 | 中国电力科学研究院 | Design method of automatic generation control model under intermittent energy grid-connection |
| CN104659780A (en) * | 2015-03-10 | 2015-05-27 | 国家电网公司 | Implementation method for absorbing energy source Internet of large-scale distributive power supplies |
| CN106407275A (en) * | 2016-08-26 | 2017-02-15 | 国家电网公司 | Data fusion-based power grid topology analysis method |
| CN107248754A (en) * | 2017-07-03 | 2017-10-13 | 国家电网公司 | A kind of addressing constant volume method of distributed power source |
-
2018
- 2018-04-09 CN CN201810309422.5A patent/CN108599233B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103066620A (en) * | 2012-12-24 | 2013-04-24 | 中国电力科学研究院 | Design method of automatic generation control model under intermittent energy grid-connection |
| CN104659780A (en) * | 2015-03-10 | 2015-05-27 | 国家电网公司 | Implementation method for absorbing energy source Internet of large-scale distributive power supplies |
| CN106407275A (en) * | 2016-08-26 | 2017-02-15 | 国家电网公司 | Data fusion-based power grid topology analysis method |
| CN107248754A (en) * | 2017-07-03 | 2017-10-13 | 国家电网公司 | A kind of addressing constant volume method of distributed power source |
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| US11811232B2 (en) | 2021-03-18 | 2023-11-07 | General Electric Company | Battery state of charge compensation |
| CN113422827A (en) * | 2021-06-23 | 2021-09-21 | 南方电网数字电网研究院有限公司 | Real-time synchronization integration system of comprehensive data of power grid based on streaming technology |
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