CN108599233B - Method and device for determining admission capacity of power distribution network with distributed power supply - Google Patents

Method and device for determining admission capacity of power distribution network with distributed power supply Download PDF

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CN108599233B
CN108599233B CN201810309422.5A CN201810309422A CN108599233B CN 108599233 B CN108599233 B CN 108599233B CN 201810309422 A CN201810309422 A CN 201810309422A CN 108599233 B CN108599233 B CN 108599233B
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distribution network
power distribution
operation data
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data
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CN108599233A (en
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陶琼
王德顺
叶季蕾
薛金花
杨波
张慧明
赵上林
姬联涛
俞斌
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China Electric Power Research Institute Co Ltd CEPRI
Yangquan Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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China Electric Power Research Institute Co Ltd CEPRI
Yangquan Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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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
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Abstract

The invention provides a method and a device for determining the admission capacity of a power distribution network containing distributed power supplies. The method and the device have the advantages that the operation data are obtained from different systems, the obtained operation data are fused, the problem that data of a plurality of systems of a power grid cannot be shared when the grid-connected capacity of the distributed power supply is calculated in the prior art is solved, the calculated data of the grid-connected capacity of the distributed power supply are perfected, the actual situation of the power distribution network can be truly reflected, and the accuracy of the receiving capacity of the power distribution network containing the distributed power supply can be effectively improved.

Description

Method and device for determining admission capacity of power distribution network with distributed power supply
Technical Field
The invention relates to the field of new energy power generation technology grid-connected analysis, in particular to a method and a device for determining the admission capacity of a power distribution network with distributed power sources.
Background
Distributed power sources are paid more and more attention and are applied in recent years, but the distributed power sources are different from traditional energy sources, and large-scale grid connection of the distributed power sources brings great economic and social benefits and simultaneously brings challenges to safe operation of a power distribution network. A large number of distributed power supplies are connected to terminals or feeder line terminals of power distribution networks at all levels, tide is reversely delivered to raise the bus voltage of a connected transformer substation, and the problems that the voltage fluctuation of a power grid and the exceeding of a power factor can be caused if the photovoltaic output fluctuates severely in cloudy weather in distributed photovoltaic power generation are particularly solved. With the access of the large-scale distributed power supply to the regional power distribution network, the receptivity of the power distribution network to the distributed power supply gradually becomes a research hotspot. The admission capacity of the power distribution network after the distributed power supply is accessed is closely related to the matching of the structure, operation and load of the power distribution network and the time sequence of the distributed power supply, but because the data acquisition coverage rate of the power distribution network is insufficient at present, various information systems such as monitoring, energy management, power distribution management, market operation and the like are mostly independent of one another, and data cannot be shared, in the process of determining the admission capacity of the power distribution network containing the distributed power supply in the prior art, the operation data of the power distribution network, the load and the distributed power supply are rough, only respective rated capacity is generally selected for quantitative estimation, and only a single section is often calculated, so that the determined admission capacity of the power distribution network is inaccurate, and the admission capacity of the power distribution network determined by the mode can only ensure the safe operation of the power distribution network, and the access of the distributed power supply is limited.
Disclosure of Invention
In order to overcome the defect that the admission capacity of the power distribution network containing the distributed power supply is inaccurate due to the fact that the operation data of the power distribution network, the load and the distributed power supply are inaccurate in the prior art, the invention provides the method and the device for determining the admission capacity of the power distribution network containing the distributed power supply.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
in one aspect, the invention provides a method for determining the admission capacity of a power distribution network with distributed power sources, which comprises the following steps:
acquiring respective operation data of a power distribution network, a distributed power supply and a load and a topological structure of the power distribution network;
preprocessing a topological structure of the power distribution network, and screening, checking consistency and fusing operation data;
and determining the admission capacity of the power distribution network according to the preprocessed topological structure and the fused operation data.
The acquiring of the respective operation data of the power distribution network, the distributed power supply and the load and the topological structure of the power distribution network comprises the following steps:
acquiring a topological structure and operation data of a power distribution network from a power distribution network scheduling system, and acquiring the topological structure and operation data of the power distribution network from a power distribution automation system;
respectively acquiring operation data of the distributed power supply from a power grid dispatching system and a distributed power supply monitoring system;
respectively acquiring the operation data of the load from the metering system and the marketing system;
the operational data includes real-time data and historical data.
The preprocessing of the topological structure of the power distribution network comprises the following steps:
preprocessing the node number of the power distribution network according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
the method comprises the following steps of pretreating equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
The operation data is screened, and consistency check and fusion are carried out, including:
screening respective operation data of the power distribution network, the distributed power supply and the load according to a kirchhoff law, and eliminating the operation data which do not meet the kirchhoff law to obtain screened operation data;
carrying out consistency check on the respective operation data of the screened power distribution network, the screened distributed power supply and the screened loads according to a consistency check principle;
and fusing the running data passing the consistency check by adopting a D-S evidence theory synthesis rule, and fusing the running data not passing the consistency check by adopting a D-S evidence theory synthesis rule considering a credibility factor.
The consistency check of the respective operation data of the power distribution network, the distributed power supply and the load after being screened according to the consistency check principle comprises the following steps:
if the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass consistency check;
if the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same moment does not exceed a second error threshold value, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass consistency check;
and if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold value, the running data of the load passes the consistency check, otherwise, the running data of the load does not pass the consistency check.
Fusing the running data of the power distribution network after the consistency check according to the D-S evidence theory synthesis rule, which comprises the following steps:
fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure BDA0001621938220000031
wherein N is i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of i1 Representing operating data of the i-th plant, N, obtained from the grid dispatching system i2 Operational data representing an ith device acquired from the power distribution automation system; m is a unit of 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatching system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is 2 (N i ) A base credit representing ith equipment operating data obtained from the distribution automation system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000032
wherein N is i Running data of the ith device which is not subjected to consistency check and fusion in the power distribution network; r is N1 Represents the relative confidence level of the grid dispatching system, an
Figure BDA0001621938220000033
r N2 Represents the relative credibility of the distribution automation system, and
Figure BDA0001621938220000034
R N1 representing the absolute confidence, R, of the grid dispatching system N2 Indicating the absolute trustworthiness of the distribution automation system.
Fusing the running data of the distributed power supply after the consistency check according to the D-S evidence theory synthesis rule, wherein the fusing comprises the following steps:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure BDA0001621938220000035
wherein D is j Representing the operation data of the jth distributed power supply after the coincidence check and the fusion are passed; d j1 Representing the operational data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from the distributed power monitoring system; m is a unit of 1 (D j ) Represents a base confidence in the jth distributed power source operating data obtained from the grid dispatching system, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000041
wherein D is j ' indicating that the operation data of the jth distributed power supply which is not passed through the consistency check and the fusion in the representation; r is D1 Represents the relative confidence level of the grid dispatching system, an
Figure BDA0001621938220000042
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure BDA0001621938220000043
R D1 Representing the absolute reliability, R, of the grid dispatching system D2 Representing distributed power supervisorsAbsolute confidence of the control system.
Fusing the running data of the load after consistency check according to the D-S evidence theory synthesis rule, which comprises the following steps:
fusing the running data of the load passing the consistency check according to the following formula:
Figure BDA0001621938220000044
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is k1 Representing operating data of the kth load, L, obtained from the metering system k2 Operational data representing the kth load obtained from the marketing system; m is 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is 2 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000045
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is L1 Represents the relative credibility of the marketing system, an
Figure BDA0001621938220000051
r L2 Represents the relative confidence of the metrology system, an
Figure BDA0001621938220000052
R L1 Representing absolute confidence of the marketing system, R L2 Representing a metering systemAbsolute confidence.
The determining the receiving capacity of the power distribution network according to the preprocessed topological structure and the fused operation data comprises the following steps:
according to the preprocessed operation data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, time sequence load flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power distribution network through power system simulation software, and the receiving capacity of the power distribution network is obtained.
In another aspect, the present invention further provides a device for determining an admission capacity of a power distribution network including distributed power sources, including:
the acquisition module is used for acquiring respective operation data of the power distribution network, the distributed power supply and the load and a topological structure of the power distribution network;
the processing module is used for preprocessing the topological structure of the power distribution network, and screening, consistency checking and fusing the operation data;
and the determining module is used for determining the receiving capacity of the power distribution network according to the preprocessed topological structure and the fused operation data.
The acquisition module includes:
the first acquisition unit is used for acquiring the topological structure and the operation data of the power distribution network from the power distribution network scheduling system and acquiring the topological structure and the operation data of the power distribution network from the power distribution automation system;
the second acquisition unit is used for respectively acquiring the operation data of the distributed power supply from the power grid dispatching system and the distributed power supply monitoring system;
the third acquisition unit is used for acquiring the operation data of the load from the metering system and the marketing system respectively;
the operational data includes real-time data and historical data.
The processing module comprises a preprocessing unit, and the preprocessing unit is specifically configured to:
the node number of the power distribution network is preprocessed according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
the method comprises the following steps of preprocessing equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
The processing module comprises:
the screening unit is used for screening the running data of the power distribution network, the distributed power supply and the load according to the kirchhoff law, and eliminating the running data which do not meet the kirchhoff law to obtain the screened running data;
the checking unit is used for checking the consistency of the respective operation data of the screened power distribution network, the screened distributed power supply and the screened loads according to a consistency checking principle;
and the fusion unit is used for fusing the running data passing the consistency check by adopting a D-S evidence theory synthesis rule, and fusing the running data not passing the consistency check by adopting a D-S evidence theory synthesis rule considering a credibility factor.
The verification unit is specifically configured to:
if the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass the consistency check;
if the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same moment does not exceed a second error threshold value, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass consistency check;
and if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold value, the running data of the load passes the consistency check, otherwise, the running data of the load does not pass the consistency check.
The fusion unit comprises a power distribution network operation data fusion unit, and the power distribution network operation data fusion unit is specifically used for:
fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure BDA0001621938220000061
wherein N is i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of hydrogen i1 Representing operating data of the i-th plant, N, obtained from the grid dispatching system i2 Operational data representing an ith device acquired from the power distribution automation system; m is 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatch system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is 2 (N i ) A base credit representing ith equipment operating data obtained from the distribution automation system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000062
wherein N is i Running data of the ith device which is not subjected to consistency check and fusion in the power distribution network; r is N1 Represents the relative credibility of the power grid dispatching system, an
Figure BDA0001621938220000063
r N2 Represents the relative credibility of the distribution automation system, and
Figure BDA0001621938220000071
R N1 representing the absolute reliability, R, of the grid dispatching system N2 Indicating distribution automationThe absolute confidence of the system is quantified.
The fusion unit comprises a distributed power supply operation data fusion unit, and the distributed power supply operation data fusion unit is specifically used for:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure BDA0001621938220000072
wherein D is j Representing the operation data of the jth distributed power supply after passing the consistency check and the fusion; d j1 Representing operating data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from the distributed power monitoring system; m is 1 (D j ) Represents a basic confidence of the jth distributed power source operating data obtained from the grid dispatching system, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000073
wherein D is j ' indicating that the operation data of the jth distributed power supply which is not passed through the consistency check and the fusion in the representation; r is D1 Represents the relative credibility of the power grid dispatching system, an
Figure BDA0001621938220000074
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure BDA0001621938220000075
R D1 Representing the absolute confidence, R, of the grid dispatching system D2 Indicating the absolute confidence level of the distributed power monitoring system.
The fusion unit comprises a load operation data fusion unit, and the load operation data fusion unit is specifically used for:
fusing the running data of the load passing the consistency check according to the following formula:
Figure BDA0001621938220000076
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is a radical of an alcohol k1 Representing operating data of the kth load, L, obtained from the metering system k2 Operational data representing a kth load acquired from the marketing system; m is 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is a unit of 2 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000081
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is a radical of hydrogen L1 Represents the relative credibility of the marketing system, an
Figure BDA0001621938220000082
r L2 Represents the relative confidence of the metrology system, an
Figure BDA0001621938220000083
R L1 Representing absolute confidence, R, of a marketing system L2 Representing the absolute confidence of the metrology system.
The determining module is specifically configured to:
and according to the preprocessed running data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, performing time sequence load flow calculation on the power distribution network after the distributed power supply is connected to the power grid through power system simulation software, and obtaining the receiving capacity of the power distribution network.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
according to the method for determining the admission capacity of the power distribution network with the distributed power sources, the operation data of the power distribution network, the operation data of the distributed power sources and the operation data of the loads and the topological structure of the power distribution network are obtained, then the topological structure of the power distribution network is preprocessed, the operation data is screened, checked for consistency and fused, the admission capacity of the power distribution network is determined according to the preprocessed topological structure and the fused operation data, the obtained fused operation data is screened, checked for consistency and fused, the accuracy of the admission capacity of the power distribution network with the distributed power sources is improved;
the device for determining the admission capacity of the power distribution network containing the distributed power supply comprises an acquisition module, a processing module and a determination module, wherein the acquisition module is used for acquiring respective operation data of the power distribution network, the distributed power supply and a load and a topological structure of the power distribution network;
the technical scheme provided by the invention is that the topological structure and the operation data of the power distribution network are respectively obtained from the power grid dispatching system and the power distribution automation system, the operation data of the distributed power supply are respectively obtained from the power grid dispatching system and the distributed power supply monitoring system, the operation data of the load are respectively obtained from the metering system and the marketing system, and the operation data obtained from different systems are fused, so that the problem that a plurality of system data of the power grid cannot be shared when the grid-connected capacity of the distributed power supply is calculated in the prior art is solved;
the technical scheme provided by the invention improves the calculation data of the grid-connected capacity of the distributed power supply by fusing the operation data, and can truly reflect the actual condition of the power distribution network;
the technical scheme provided by the invention can be used for carrying out time sequence load flow calculation on the power distribution network after the distributed power supply is connected to the grid, so that the accuracy of the receiving capacity of the power distribution network containing the distributed power supply can be effectively improved.
Drawings
Fig. 1 is a flowchart of a method for determining an admission capacity of a power distribution network including distributed power sources in embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a topology structure of a power distribution network in embodiment 2 of the present invention;
fig. 3 is a schematic diagram of fused load operation data in embodiment 2 of the present invention;
fig. 4 is a schematic view of the operation data of the fused photovoltaic unit in embodiment 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example 1
The embodiment 1 of the invention provides a method for determining the receiving capacity of a power distribution network with distributed power supplies, and the specific process is as follows, wherein the specific flow chart is as shown in fig. 1:
s101: acquiring respective operation data of a power distribution network, a distributed power supply and a load and a topological structure of the power distribution network;
s102: preprocessing a topological structure of the power distribution network, and screening, checking consistency and fusing operation data;
s103: and determining the admission capacity of the power distribution network according to the preprocessed topological structure and the fused operation data.
In the above S101, the operation data of the power distribution network, the distributed power source, and the load, and the topology structure of the power distribution network are obtained, and the specific process is as follows:
1) Acquiring a topological structure and operation data of a power distribution network from a power distribution network scheduling system, and acquiring the topological structure and operation data of the power distribution network from a power distribution automation system;
2) Respectively acquiring operation data of the distributed power supply from a power grid dispatching system and a distributed power supply monitoring system;
3) Respectively acquiring the operation data of the load from the metering system and the marketing system;
the operational data includes real-time data and historical data.
In the above S102, the topological structure of the power distribution network is preprocessed, and the specific process is as follows:
1. preprocessing the node number of the power distribution network according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
2. the method comprises the following steps of pretreating equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
In S102, the operation data is screened, and consistency check and fusion are performed, which specifically includes the following processes:
1) Screening respective operation data of the power distribution network, the distributed power supply and the load according to a kirchhoff law, and eliminating the operation data which do not meet the kirchhoff law to obtain screened operation data;
2) According to a consistency check principle, carrying out consistency check on the respective operation data of the screened power distribution network, distributed power supplies and loads;
3) And fusing the running data passing the consistency check by adopting a D-S evidence theory synthesis rule, and fusing the running data not passing the consistency check by adopting a D-S evidence theory synthesis rule considering a credibility factor.
In the step 2), the consistency check is performed on the respective operation data of the power distribution network, the distributed power supply and the load after the screening according to the consistency check principle, which specifically includes:
2-1) if the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass the consistency check;
2-2) if the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same moment does not exceed a second error threshold, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass consistency check;
and 2-3) if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold, the running data of the load passes the consistency check, otherwise, the running data of the load does not pass the consistency check.
In the above 3), the running data passing the consistency check is fused by using the D-S evidence theoretical synthesis rule, and the running data not passing the consistency check is fused by using the D-S evidence theoretical synthesis rule considering the reliability factor, which is specifically divided into the following three aspects:
3-1) fusing the running data of the distribution network after the consistency check according to the D-S evidence theory synthesis rule, namely respectively fusing the running data of the distribution network passing the consistency check and the running data of the distribution network not passing the consistency check, wherein the method specifically comprises the following steps:
fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure BDA0001621938220000111
wherein, N i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of i1 Representing operating data of the i-th plant, N, obtained from the grid dispatching system i2 Representing operational data of an ith device acquired from a power distribution automation system; m is 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatching system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is 2 (N i ) A base credit representing ith equipment operating data obtained from the distribution automation system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000112
wherein, N i The operation data of the ith equipment which does not pass the consistency check and is fused in the power distribution network; r is N1 Represents the relative credibility of the power grid dispatching system, an
Figure BDA0001621938220000113
r N2 Represents the relative confidence of the distribution automation system, an
Figure BDA0001621938220000114
R N1 Representing the absolute confidence, R, of the grid dispatching system N2 Indicating the absolute trustworthiness of the distribution automation system.
3-2) fusing the running data of the distributed power supply after the consistency check according to the D-S evidence theory synthesis rule, namely respectively fusing the running data of the distributed power supply passing the consistency check and the running data of the distributed power supply not passing the consistency check, wherein the method specifically comprises the following steps:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure BDA0001621938220000115
wherein D is j Representing the operation data of the jth distributed power supply after the coincidence check and the fusion are passed; d j1 Representing operating data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from a distributed power monitoring system; m is 1 (D j ) Represents a basic confidence of the jth distributed power source operating data obtained from the grid dispatching system, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is a unit of 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000121
wherein D is j ' indicating that the operation data of the jth distributed power supply which is not passed through the consistency check and the fusion in the representation; r is D1 Represents the relative confidence level of the grid dispatching system, an
Figure BDA0001621938220000122
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure BDA0001621938220000123
R D1 Representing the absolute confidence, R, of the grid dispatching system D2 Indicating the absolute trustworthiness of the distributed power monitoring system.
3-3) fusing the running data of the load after the consistency check according to the D-S evidence theory synthesis rule, namely respectively fusing the running data of the load passing the consistency check and the running data of the load not passing the consistency check, wherein the method specifically comprises the following steps:
fusing the running data of the load passing the consistency check according to the following formula:
Figure BDA0001621938220000124
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is k1 Representing operating data of the kth load, L, obtained from the metering system k2 Operational data representing a kth load acquired from the marketing system; m is a unit of 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is a unit of 2 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000125
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is a radical of hydrogen L1 Represents the relative credibility of the marketing system, an
Figure BDA0001621938220000126
r L2 Represents the relative confidence of the metrology system, and
Figure BDA0001621938220000127
R L1 representing absolute of marketing systemDegree of confidence, R L2 Representing the absolute confidence of the metrology system.
In S103, the admission capacity of the power distribution network is determined according to the preprocessed topology structure and the fused operation data, which is specifically as follows:
and according to the preprocessed running data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, performing time sequence load flow calculation on the power distribution network after the distributed power supply is connected to the power grid through power system simulation software, and obtaining the receiving capacity of the power distribution network.
Based on the same inventive concept, an embodiment of the present invention further provides a device for determining an admission capacity of a power distribution network including a distributed power source, which includes an acquisition module, a processing module, and a determination module, and the following describes functions of the three modules in detail respectively:
the acquisition module is used for acquiring respective operation data of the power distribution network, the distributed power supply and the load and a topological structure of the power distribution network;
the processing module is used for preprocessing the topological structure of the power distribution network, and screening and fusing the running data;
the determining module is used for determining the receiving capacity of the power distribution network according to the preprocessed topological structure and the fused operation data.
The above-mentioned acquisition module includes:
the first acquisition unit is used for acquiring the topological structure and the operation data of the power distribution network from the power distribution network scheduling system and acquiring the topological structure and the operation data of the power distribution network from the power distribution automation system;
the second acquisition unit is used for respectively acquiring the operation data of the distributed power supply from the power grid dispatching system and the distributed power supply monitoring system;
the third acquisition unit is used for acquiring the running data of the load from the metering system and the marketing system respectively;
the operational data includes real-time data and historical data.
The processing module comprises a preprocessing unit, and the preprocessing unit is specifically used for:
1. preprocessing the node number of the power distribution network according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
2. the method comprises the following steps of preprocessing equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
The processing module comprises:
the screening unit is used for screening the running data of the power distribution network, the distributed power supply and the load according to the kirchhoff law, and eliminating the running data which do not meet the kirchhoff law to obtain the screened running data;
the checking unit is used for checking the consistency of the respective operation data of the screened power distribution network, the screened distributed power supply and the screened load according to a consistency checking principle;
and the fusion unit is used for fusing the running data passing the consistency check by adopting a D-S evidence theory synthesis rule, and fusing the running data not passing the consistency check by adopting the D-S evidence theory synthesis rule considering a reliability factor.
The check unit performs consistency check on the respective operation data of the screened power distribution network, distributed power supply and load according to a consistency check principle, and the consistency check method specifically comprises the following steps:
1) If the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass consistency check;
2) If the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same moment does not exceed a second error threshold value, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass consistency check;
3) And if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold value, the running data of the load passes consistency check, otherwise, the running data of the load does not pass the consistency check.
The fusion unit comprises a power distribution network operation data fusion unit which is specifically used for the following two aspects:
1) Fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure BDA0001621938220000141
wherein, N i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of hydrogen i1 Representing operating data of the i-th plant, N, obtained from the grid dispatching system i2 Operational data representing an ith device acquired from the power distribution automation system; m is a unit of 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatch system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is 2 (N i ) A base credit representing ith equipment operating data obtained from the distribution automation system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
2) Fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000142
wherein, N i Running data of the ith device which is not subjected to consistency check and fusion in the power distribution network; r is a radical of hydrogen N1 Represents the relative confidence level of the grid dispatching system, an
Figure BDA0001621938220000151
r N2 Represents the relative confidence of the distribution automation system, an
Figure BDA0001621938220000152
R N1 Representing the absolute confidence, R, of the grid dispatching system N2 Indicating the absolute trustworthiness of the distribution automation system.
The fusion unit comprises a distributed power supply operation data fusion unit, and the distributed power supply operation data fusion unit is specifically used for the following two aspects:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure BDA0001621938220000153
wherein D is j Representing the operation data of the jth distributed power supply after passing the consistency check and the fusion; d j1 Representing operating data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from the distributed power monitoring system; m is 1 (D j ) Represents a basic confidence of the jth distributed power source operating data obtained from the grid dispatching system, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000154
wherein D is j Failed in representationChecking and fusing the operation data of the jth distributed power supply; r is D1 Represents the relative credibility of the power grid dispatching system, an
Figure BDA0001621938220000155
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure BDA0001621938220000156
R D1 Representing the absolute confidence, R, of the grid dispatching system D2 Indicating the absolute trustworthiness of the distributed power monitoring system.
The fusion unit comprises a load operation data fusion unit, and the load operation data fusion unit is specifically used for the following two aspects:
fusing the running data of the load passing the consistency check according to the following formula:
Figure BDA0001621938220000161
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is k1 Representing operating data of the kth load, L, obtained from the metering system k2 Operational data representing a kth load acquired from the marketing system; m is 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is 2 (L k ) Represents a base confidence in the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure BDA0001621938220000162
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is a radical of hydrogen L1 Represents the relative credibility of the marketing system, an
Figure BDA0001621938220000163
r L2 Represents the relative confidence of the metrology system, and
Figure BDA0001621938220000164
R L1 representing absolute confidence, R, of a marketing system L2 Representing the absolute confidence of the metrology system.
The determining module determines the receiving capacity of the power distribution network according to the preprocessed topological structure and the fused operation data, and the specific process is as follows:
according to the preprocessed operation data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, time sequence load flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power distribution network through power system simulation software, and the receiving capacity of the power distribution network is obtained.
Example 2
The topological structure of the power distribution network adopted in the embodiment 2 of the invention is shown in figure 2, the power distribution network comprises 25 nodes with the numbers of 0, 1 and 2 \8230, and 24, the connection relation between each node and the load is obtained, as shown in the table 1:
TABLE 1
Figure BDA0001621938220000165
Figure BDA0001621938220000171
Parameter information of each line in the power distribution network is obtained from the power distribution automation system, as shown in table 2:
TABLE 2
Figure BDA0001621938220000172
Figure BDA0001621938220000181
Load operation data are obtained from the metering system and the marketing system respectively, and multi-data-source load data fusion is carried out, so that fused load operation data are obtained as shown in fig. 3, wherein the solid part is load operation data in a large-load operation mode, and the dotted part is load operation data in a small-load operation mode.
The operation data of the distributed photovoltaic power generation are respectively obtained from the power grid dispatching system and the distributed power source monitoring system, and the photovoltaic operation data of multiple data sources are fused to obtain fused photovoltaic unit operation data, as shown in fig. 4, the graph is daily operation data of each hundred kilowatt photovoltaic unit in the power supply area of the power distribution network, wherein the solid part is fused photovoltaic operation data in sunny days, and the dotted part is fused photovoltaic operation data in cloudy days. And (4) performing time sequence load flow calculation by considering the time sequence matching characteristics of the distributed photovoltaic and the load, wherein the calculation period is a natural day.
And finally, obtaining the receiving capacity of the power distribution network according to the fused load operation data and the fused photovoltaic unit operation data. In the embodiment 2 of the invention, the photovoltaic grid-connected receiving capacity is quantitatively calculated by taking the voltage fluctuation and deviation of the power distribution network as limiting values, a 12.8MW photovoltaic system can be received at most, and the main factor limiting the photovoltaic receiving capacity is the problem of exceeding the voltage.
For convenience of description, each part of the above-described apparatus is separately described as being functionally divided into various modules or units. Of course, the functionality of the various modules or units may be implemented in the same one or more pieces of software or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and a person of ordinary skill in the art can make modifications or equivalents to the specific embodiments of the present invention with reference to the above embodiments, and such modifications or equivalents without departing from the spirit and scope of the present invention are within the scope of the claims of the present invention as set forth in the claims.

Claims (7)

1. A method for determining the admission capacity of a power distribution network with distributed power supplies is characterized by comprising the following steps:
acquiring respective operation data of a power distribution network, a distributed power supply and a load and a topological structure of the power distribution network;
preprocessing a topological structure of the power distribution network, and screening, checking consistency and fusing operation data;
determining the admission capacity of the power distribution network according to the preprocessed topological structure and the fused operation data;
the acquiring of the respective operation data of the power distribution network, the distributed power supply and the load and the topological structure of the power distribution network comprises the following steps:
acquiring a topological structure and operation data of a power distribution network from a power distribution network scheduling system, and acquiring the topological structure and operation data of the power distribution network from a power distribution automation system;
respectively acquiring operation data of the distributed power supply from a power grid dispatching system and a distributed power supply monitoring system;
respectively acquiring the operation data of the load from the metering system and the marketing system;
the operating data comprises real-time data and historical data;
the screening, consistency check and fusion of the operation data comprises the following steps:
screening respective operation data of the power distribution network, the distributed power supply and the load according to a kirchhoff law, and eliminating the operation data which do not meet the kirchhoff law to obtain screened operation data;
according to a consistency check principle, carrying out consistency check on the respective operation data of the screened power distribution network, distributed power supplies and loads;
fusing running data passing consistency check by adopting a D-S evidence theory synthesis rule, and fusing running data failing consistency check by adopting a D-S evidence theory synthesis rule considering a credibility factor;
the consistency verification of the respective operation data of the power distribution network, the distributed power supply and the loads after being screened according to the consistency verification principle comprises the following steps:
if the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass consistency check;
if the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same time does not exceed a second error threshold, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass the consistency check;
if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold value, the running data of the load passes consistency check, otherwise, the running data of the load does not pass the consistency check;
fusing the operation data of the power distribution network after the consistency check according to the D-S evidence theory synthesis rule, which comprises the following steps:
fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure FDA0003709594470000021
wherein, N i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of i1 Representing operating data of the i-th plant obtained from the grid dispatching system, N i2 Operational data representing an ith device acquired from the power distribution automation system; m is 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatching system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is a unit of 2 (N i ) Representing slave power distribution automation systemsBasic confidence of the operation data of the ith equipment obtained by the system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000022
wherein N is i The operation data of the ith equipment which does not pass the consistency check and is fused in the power distribution network; r is N1 Represents the relative credibility of the power grid dispatching system, an
Figure FDA0003709594470000023
r N2 Represents the relative credibility of the distribution automation system, and
Figure FDA0003709594470000024
R N1 representing the absolute reliability, R, of the grid dispatching system N2 Representing the absolute credibility of the distribution automation system;
fusing the running data of the distributed power supply after the consistency check according to the D-S evidence theory synthesis rule, wherein the fusing comprises the following steps:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure FDA0003709594470000025
wherein D is j Representing the operation data of the jth distributed power supply after the coincidence check and the fusion are passed; d j1 Representing the operational data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from the distributed power monitoring system; m is 1 (D j ) Representing jth distributed power source operating data obtained from a grid dispatching systemBasic credit, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is a unit of 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000031
wherein D is j ' indicating that the operation data of the jth distributed power supply which is not passed through the consistency check and the fusion in the representation; r is D1 Represents the relative confidence level of the grid dispatching system, an
Figure FDA0003709594470000032
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure FDA0003709594470000033
R D1 Representing the absolute reliability, R, of the grid dispatching system D2 Representing the absolute reliability of the distributed power monitoring system;
fusing the running data of the load after consistency check according to the D-S evidence theory synthesis rule, comprising the following steps:
fusing the operation data of the load passing the consistency check according to the following formula:
Figure FDA0003709594470000034
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is k1 Representing operating data of the kth load, L, obtained from the metering system k2 Operational data representing a kth load acquired from the marketing system; m is 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is a unit of 2 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000041
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is L1 Represents the relative credibility of the marketing system, an
Figure FDA0003709594470000042
r L2 Represents the relative confidence of the metrology system, and
Figure FDA0003709594470000043
R L1 representing absolute confidence of the marketing system, R L2 Representing the absolute confidence of the metrology system.
2. The method for determining the admission capacity of the power distribution network with the distributed power supplies according to claim 1, wherein the preprocessing the topology structure of the power distribution network comprises:
the node number of the power distribution network is preprocessed according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
the method comprises the following steps of preprocessing equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
3. The method for determining the admission capacity of the power distribution network with the distributed power sources as claimed in claim 1, wherein the determining the admission capacity of the power distribution network according to the preprocessed topological structure and the fused operation data comprises:
and according to the preprocessed running data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, performing time sequence load flow calculation on the power distribution network after the distributed power supply is connected to the power grid through power system simulation software, and obtaining the receiving capacity of the power distribution network.
4. An apparatus for determining an admission capacity of a power distribution network including distributed power sources, comprising:
the acquisition module is used for acquiring respective operation data of the power distribution network, the distributed power supply and the load and a topological structure of the power distribution network;
the processing module is used for preprocessing the topological structure of the power distribution network, and screening, consistency checking and fusing the operation data;
the determining module is used for determining the receiving capacity of the power distribution network according to the preprocessed topological structure and the fused operation data;
the processing module comprises:
the screening unit is used for screening the running data of the power distribution network, the distributed power supply and the load according to the kirchhoff law, and eliminating the running data which do not meet the kirchhoff law to obtain the screened running data;
the checking unit is used for checking the consistency of the respective operation data of the screened power distribution network, the screened distributed power supply and the screened load according to a consistency checking principle;
the fusion unit is used for fusing the running data passing the consistency check by adopting a D-S evidence theoretical synthesis rule and fusing the running data not passing the consistency check by adopting a D-S evidence theoretical synthesis rule considering a credibility factor;
the verification unit is specifically configured to:
if the error of the operation data of the power distribution network acquired from the power distribution network scheduling system and the power distribution automation system at the same moment does not exceed a first error threshold, the operation data of the power distribution network passes consistency check, otherwise, the operation data of the power distribution network does not pass consistency check;
if the error of the operation data of the distributed power supply acquired from the power grid dispatching system and the distributed power supply monitoring system at the same moment does not exceed a second error threshold value, the operation data of the distributed power supply passes consistency check, otherwise, the operation data of the distributed power supply does not pass consistency check;
if the error of the running data of the load obtained from the metering system and the marketing system at the same moment does not exceed a third error threshold value, the running data of the load passes consistency check, otherwise, the running data of the load does not pass the consistency check;
the fusion unit comprises a power distribution network operation data fusion unit, and the power distribution network operation data fusion unit is specifically used for:
fusing the running data of the power distribution network passing the consistency check according to the following formula:
Figure FDA0003709594470000051
wherein N is i Representing the operation data of the ith equipment which passes the consistency check and is fused in the power distribution network; n is a radical of hydrogen i1 Representing operating data of the i-th plant obtained from the grid dispatching system, N i2 Operational data representing an ith device acquired from the power distribution automation system; m is 1 (N i ) A base confidence representing the ith plant operational data obtained from the grid dispatch system, and m 1 (N i )＝1-u N1 ，u N1 Representing the uncertainty of the power grid dispatching system; m is a unit of 2 (N i ) Representing automation from distributionBasic confidence of the ith equipment operation data obtained by the system, and m 2 (N i )＝1-u N2 ，u N2 Representing an uncertainty of the distribution automation system;
fusing the operation data of the power distribution network which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000061
wherein, N i Running data of the ith device which is not subjected to consistency check and fusion in the power distribution network; r is a radical of hydrogen N1 Represents the relative confidence level of the grid dispatching system, an
Figure FDA0003709594470000062
r N2 Represents the relative credibility of the distribution automation system, and
Figure FDA0003709594470000063
R N1 representing the absolute reliability, R, of the grid dispatching system N2 Representing the absolute credibility of the distribution automation system;
the fusion unit comprises a distributed power supply operation data fusion unit, and the distributed power supply operation data fusion unit is specifically used for:
fusing the operation data of the distributed power supply passing the consistency check according to the following formula:
Figure FDA0003709594470000064
wherein D is j Representing the operation data of the jth distributed power supply after the coincidence check and the fusion are passed; d j1 Representing the operational data of the jth distributed power source obtained from the grid dispatching system, D j2 Representing operational data of a jth device obtained from a distributed power monitoring system; m is 1 (D j ) Representing the j-th distributed electricity obtained from the grid dispatching systemBasic confidence of source operational data, and m 1 (D j )＝1-u D1 ，u D1 Representing the uncertainty of the power grid dispatching system; m is 2 (D j ) A base confidence representing a jth distributed power source operating data obtained from the distributed power source monitoring system, and m 2 (D j )＝1-u D2 ，u D2 Representing an uncertainty of the distributed power monitoring system;
fusing the operation data of the distributed power supply which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000065
wherein D is j ' representing the operation data of the jth distributed power supply which is not subjected to consistency check and fusion in the representation; r is D1 Represents the relative credibility of the power grid dispatching system, an
Figure FDA0003709594470000071
r D2 Represents the relative confidence of the distributed power monitoring system, an
Figure FDA0003709594470000072
R D1 Representing the absolute reliability, R, of the grid dispatching system D2 Representing the absolute reliability of the distributed power monitoring system;
the fusion unit comprises a load operation data fusion unit, and the load operation data fusion unit is specifically used for:
fusing the running data of the load passing the consistency check according to the following formula:
Figure FDA0003709594470000073
wherein L is k Representing the operation data of the kth load after passing consistency check and fusion; l is a radical of an alcohol k1 Representing the kth load taken from the metering systemOf the operating data L k2 Operational data representing a kth load acquired from the marketing system; m is 1 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 1 (L k )＝1-u L1 ，u L1 Representing an uncertainty of the marketing system; m is a unit of 2 (L k ) Represents a basic confidence of the kth load operation data obtained from the metering system, and m 2 (L k )＝1-u L2 ，u L2 Representing an uncertainty of the metrology system;
fusing the operation data of the load which does not pass the consistency check according to the following formula:
Figure FDA0003709594470000074
wherein L is k ' represents the operation data of the kth load which is not passed through the consistency check and fused; r is L1 Represents the relative credibility of the marketing system, an
Figure FDA0003709594470000075
r L2 Represents the relative confidence of the metrology system, and
Figure FDA0003709594470000076
R L1 representing absolute confidence of the marketing system, R L2 Representing the absolute confidence of the metrology system.
5. The device for determining the admission capacity of the power distribution network with the distributed power supplies according to claim 4, wherein the obtaining module comprises:
the first acquisition unit is used for acquiring the topological structure and the operation data of the power distribution network from the power distribution network scheduling system and acquiring the topological structure and the operation data of the power distribution network from the power distribution automation system;
the second acquisition unit is used for respectively acquiring the operation data of the distributed power supply from the power grid dispatching system and the distributed power supply monitoring system;
the third acquisition unit is used for acquiring the operation data of the load from the metering system and the marketing system respectively;
the operational data includes real-time data and historical data.
6. The device for determining the admission capacity of the power distribution network including the distributed power supply according to claim 4, wherein the processing module includes a preprocessing unit, and the preprocessing unit is specifically configured to:
the node number of the power distribution network is preprocessed according to the following processes:
1) If no node number exists, supplementing the node number of the power distribution network;
2) If the node number is wrong or the node is hung in an empty state, correcting the node number of the power distribution network;
the method comprises the following steps of preprocessing equipment parameters of the power distribution network:
1) If the parameters are missing, supplementing the equipment parameters of the power distribution network;
2) And if the parameters are wrong, correcting the equipment parameters of the power distribution network.
7. The device for determining the admission capacity of the power distribution network with the distributed power sources as claimed in claim 4, wherein the determining module is specifically configured to:
according to the preprocessed operation data of the power distribution network after the topological structure, the power distribution network, the distributed power supply and the load of the power distribution network are fused, time sequence load flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power distribution network through power system simulation software, and the receiving capacity of the power distribution network is obtained.
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