CN117277404A - Topology identification method for low-voltage distribution network containing distributed power supply - Google Patents
Topology identification method for low-voltage distribution network containing distributed power supply Download PDFInfo
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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
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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Abstract
The invention relates to a topology identification method of a low-voltage distribution network with a distributed power supply, which comprises the following steps: step 1, data monitoring is carried out on a first node and a last node of a low-voltage power distribution network, current step characteristic quantity is collected and calculated, and a current step characteristic quantity matrix is obtained; step 2, analyzing the current direction based on the current step characteristic quantity matrix formed by the end node in the step 1, and judging the type of the load or the power supply access node; and step 3, based on the node type determined in the step 2, completing the household change relation identification of the photovoltaic and energy storage nodes according to the household change relation identification method of the active nodes. And 4, based on the node type determined in the step 2, completing user-variable relation identification of the load node. The topology identification is carried out by using the current step feature quantity, large-scale transformation of the power distribution network is not needed, the method and the device are applicable to the existing low-voltage power distribution network, and the identification accuracy is high and the calculated amount is small.
Description
Technical Field
The invention belongs to the technical field of topology identification of low-voltage distribution networks, relates to a topology identification method of a low-voltage distribution network, and particularly relates to a topology identification method of a low-voltage distribution network with a distributed power supply.
Background
Today's power systems are facing many challenges, including the popularity of renewable energy sources, the increasing electrical loads and the instability of energy supplies.
To address these challenges, distributed power supplies (Distributed Energy Resources, DER) are widely used in modern power systems, including solar photovoltaic, wind power generation, and energy storage systems, among others. At the same time, low voltage distribution networks (LowVoltage Distribution Network, LVDN) are also becoming an increasingly important component of power systems that connect the DER to the consumer side, enabling the consumer to more conveniently use the power provided by the DER.
However, in LVDNs, the number and variety of DER is increasing, which makes it very important to identify LVDN topologies. The topology structure of the LVDN determines the access mode and the operation mode of the DER, so that the accurate identification of the topology structure of the LVDN can help to optimize system configuration and improve system efficiency and reliability.
At present, the traditional topology identification method of the LVDN containing the distributed power supply is often realized based on the power line carrier communication topology or the power flow matching, but the method has some limitations. Mainly comprises the following aspects:
(1) A plurality of power supply paths: in some cases, there may be multiple power paths for one station, which complicates determining the primary and backup power paths. This may lead to the possibility of misidentification or missed identification of the power line carrier based communication topology, and the power flow matching based identification algorithm also creates difficulties in determining the power supply path.
(2) The direction of the current is ambiguous: in conventional power systems, current flows from a high voltage to a low voltage, but in distributed energy systems, the direction of current flow may be more complex, for example due to the discharging behavior of a battery energy storage system. This may result in the assumption of the conventional current direction no longer being true.
(3) Randomness and dynamics: the randomness of the energy consumption and supply and the dynamic behaviour of the devices may lead to a change of the cell topology over time. This requires that the recognition algorithm be able to adapt to changes in the system state.
Therefore, the invention provides a low-voltage distribution network topology identification method based on a distributed power supply, which can overcome the defects and shortcomings.
No prior art documents identical or similar to the present invention were found upon retrieval.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a topology identification method for a low-voltage power distribution network with a distributed power supply, which is capable of being suitable for the existing low-voltage power distribution network without large-scale transformation of the power distribution network by using current step characteristic quantity to carry out topology identification, and has high identification precision and small calculation amount.
The invention solves the practical problems by adopting the following technical scheme:
a topology identification method of a low-voltage power distribution network with a distributed power supply comprises the following steps:
step 1, data monitoring is carried out on a first node and a last node of a low-voltage power distribution network, current step characteristic quantity is collected and calculated, and a current step characteristic quantity matrix is obtained;
step 2, analyzing the current direction based on the current step characteristic quantity matrix formed by the end node in the step 1, and judging the type of the load or the power supply access node;
and step 3, based on the node type determined in the step 2, completing the household change relation identification of the photovoltaic and energy storage nodes according to the household change relation identification method of the active nodes.
And 4, based on the node type determined in the step 2, completing user-variable relation identification of the load node.
The specific method for monitoring the data at the first node and the last node of the low-voltage power distribution network in the step 1 is as follows: the method comprises the steps that voltage and current quantity data of head and tail nodes of a low-voltage power distribution network are collected through a sensor;
the first node refers to a low-voltage side of the transformer, and the last node refers to a photovoltaic access side, a load access side and a power supply access side.
And, the specific method for acquiring and calculating the current step characteristic quantity in the step 1 and acquiring the current step characteristic quantity matrix is as follows:
the acquired current and voltage are processed, and a current step characteristic quantity matrix is calculated and acquired;
each row of the current step characteristic quantity matrix corresponds to 17 columns, and comprises 17 dimensions of time, current step quantity and 1-15 times of harmonic wave step quantity, wherein a current inflow end node is positive, a current outflow end node is negative, a current inflow head end node from a high-voltage side is negative, and a current inflow head end node from the high-voltage side is positive; the line number of the current step characteristic quantity matrix corresponds to a time section of a strip forming a current step, and each current quantity step forms a line vector;
the specific method of the step 2 is as follows:
the current direction of the current step characteristic quantity matrix generated in the step 1 is analyzed, and the principle that the photovoltaic flows to the power grid side, the load flows to the load side and the energy storage flows bidirectionally is combined, so that the type of the load or the power supply access node is judged to be a photovoltaic node, an energy storage node or a load node;
the specific judgment principle is as follows:
(1) The second column of the matrix has more than 80 percent of all data items with negative duty ratio, and the node is a photovoltaic system;
(2) The second column of the matrix has more than 99 percent of all data items with positive duty ratio, and the node is a load system;
(3) All data items in the second column of the matrix are positive data with the data proportion being more than 40% and less than 60%, and the node is an energy storage system
(4) If the three types are not satisfied, the method is to be determined.
In this embodiment, the above data items may be corrected according to actual conditions.
The specific method of the step 3 is as follows:
taking a current step characteristic quantity matrix of a photovoltaic or energy storage node as an end matrix, taking all transformer side current step characteristic quantity matrices participating in evaluation as reference matrices, carrying out difference degree calculation on the end matrix and the reference matrices, and selecting a transformer with the smallest difference degree as a transformer to which the photovoltaic or energy storage node belongs.
The specific method of the step 4 is as follows:
firstly, integrating three current step feature quantity matrixes of photovoltaic nodes, energy storage nodes and transformer sides in all the transformer areas participating in identification to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area; and then, carrying out difference degree calculation on the current step characteristic quantity matrix of the load node and the reference matrix of all the transformer areas, and taking the transformer with the smallest difference degree as the transformer for the load.
In addition, the specific step of integrating the three current step feature quantity matrixes of the photovoltaic nodes, the energy storage nodes and the transformer sides in all the transformer areas participating in the identification in the step 4 to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area comprises the following steps:
(1) In three current step feature quantity matrixes at a photovoltaic node, an energy storage node and a transformer side in a platform area, if any value of a first column of any matrix and all primary color differences of a first column of other matrixes are larger than 15 minutes, the value is correspondingly divided into a new reference matrix in whole row, if any value of the first column of any matrix and a value of a first column of other matrixes are smaller than or equal to 15 minutes, the first element is divided by the whole row, other elements are summed, and the first element is averaged:
such as a matrix of photovoltaic nodes
The energy storage node matrix is
The node matrix of the transformer is
13:02 for matrix A, 13:12 for matrix B and 13:04 for matrix C correspond to less than 15 minutes, then the three rows of data are summed except for the first element, and the time columns are averaged to obtain 13:06.
The time corresponding to 14:00 of matrix A and 14:02 of matrix B is less than 15 minutes, then the two rows of data are summed except for the first element, and the time columns are averaged to obtain 14:01.
(2) The other rows are directly incorporated into a new reference matrix, and the new reference matrix is finally obtained as follows:
in order to complete the identification of the household variable relations of the photovoltaic, energy storage nodes and load nodes in the step 3 and the step 4, the difference degree calculation method comprises the following steps:
(1) Setting a current step characteristic quantity matrix of a load node as a= [ A1, A2, A3, ], and setting a reference matrix as b= [ B1, B2, B3, ], wherein n represents the length of the matrix; A1-An, and B1-Bn are m-dimensional column vectors;
(2) Analyzing corresponding row numbers of which the corresponding quantity difference of the A1 and B1 column vectors is smaller than 10 minutes, and forming two corresponding w x n-dimensional matrixes of A '= [ A1', A2', A3';
(3) The degree of difference Dis is calculated by the following formula:
Dis＝∑sqrt(((A2’+B2’)^2+(A3’+B3’)^2+...+(An’+Bn’)^2)/x
where Σ represents summing all the rows found, where Σ2 represents the square operation, sqrt represents the square operation.
The invention has the advantages and beneficial effects that:
1. the invention provides a topology identification method of a low-voltage distribution network with a distributed power supply, which comprises the steps of firstly, carrying out data monitoring on the first node and the last node (a transformer side and a load or power supply access side) of the low-voltage distribution network, and collecting and calculating current step characteristic quantity. Then, by means of current direction analysis, the type of the load or the power supply access node is identified by combining the principle that the photovoltaic is flowing to the power grid side, the load is flowing to the load side and the energy storage is bi-directional flowing. And then, matching the difference degree according to the current step characteristic quantity matrix of the photovoltaic or energy storage node and the current step characteristic quantity matrix of all the transformer sides participating in evaluation, wherein the transformer with the least difference degree is the photovoltaic or energy storage node. And finally, integrating three current step characteristic quantity matrixes of photovoltaic nodes, energy storage nodes and transformer sides in all the areas involved in identification, comparing the current step characteristic quantity matrixes of the load nodes with the integrated current step characteristic quantity matrixes in a difference degree, and obtaining the transformer to which the load nodes belong with the smallest difference degree. The invention has the advantages that the topology identification is carried out by using the current step characteristic quantity, the large-scale transformation of the power distribution network is not needed, the invention can be suitable for the existing low-voltage power distribution network, and the identification precision is high and the calculated quantity is small.
2. The method and the device can improve the accuracy of the topology identification of the power distribution network: according to the method, the type and attribution of the nodes can be accurately determined by collecting and analyzing the voltage and current data of the head and tail nodes of the low-voltage power distribution network and combining the calculation of the current step characteristic quantity and the node type identification, so that the accurate identification of the power distribution network topology is realized. Compared with the traditional topology identification method, the method considers the influence of the distributed power supply and can reflect the actual network structure more accurately. Solving the problems that
3. The invention can improve the recognition efficiency and the degree of automation: the method adopts an automatic data acquisition and processing technology, can rapidly acquire the current step characteristic quantity of the node, and utilizes algorithms such as current direction and difference degree calculation to identify the node type and attribution. Compared with the traditional identification method, the method can solve the problems of undefined current direction, multiple power supply paths and the like, can greatly improve the identification efficiency and accuracy, and reduces the interference of human factors.
4. The invention has wide applicability: the method is suitable for topology identification of the low-voltage distribution network with the distributed power supply, and can be applied to distribution network systems with different scales and complexity. The method can be used for topology identification no matter a small-sized urban power distribution network or a large-sized industrial power distribution network, and accurate management and optimized operation of the distributed power supply are realized.
5. The invention can promote the integration and application of the distributed power supply: the method can help a system operator to better understand and master the distribution and influence of the distributed power supply in the low-voltage power distribution network, and support is provided for the integration and application of the distributed power supply. By accurately identifying the distributed power supply nodes and the transformers to which the distributed power supply nodes belong, planning, optimal scheduling and fault management of the distributed power supply can be better performed, and access and utilization of renewable energy sources are promoted. In summary, the method for identifying the topology of the low-voltage distribution network with the distributed power supply has the advantages of improving accuracy of topology identification, improving identification efficiency and automation degree, being wide in applicability, promoting integration and application of the distributed power supply and the like.
Drawings
FIG. 1 is a process flow diagram of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
Topology identification method for low-voltage distribution network containing distributed power supply, and household transformer relation identification method suitable for low-voltage distribution network containing multiple loads such as photovoltaic, energy storage and charging piles ， The physical connection and the running state information of DER are utilized to realize high-precision identification of the LVDN topological structure, so that the running efficiency and the reliability of the system are improved.
As shown in fig. 1, the method comprises the following steps:
step 1, data monitoring is carried out on a first node and a last node (a transformer side and a load or power supply access side) of a low-voltage power distribution network, current step characteristic quantity is collected and calculated, and a current step characteristic quantity matrix is obtained;
the specific method for monitoring the data at the first node and the last node (the transformer side and the load or power supply access side) of the low-voltage power distribution network in the step 1 is as follows: the method comprises the steps that voltage and current quantity data of head and tail nodes of a low-voltage power distribution network are collected through a sensor;
the first node refers to a low-voltage side of the transformer, and the last node refers to a photovoltaic access side, a load access side and a power supply access side.
The specific method for acquiring and calculating the current step characteristic quantity in the step 1 and acquiring the current step characteristic quantity matrix comprises the following steps:
the acquired current and voltage are processed, and a current step characteristic quantity matrix is calculated and acquired;
each row of the current step characteristic quantity matrix corresponds to 17 columns, and comprises 17 dimensions of time, current step quantity and 1-15 times of harmonic wave step quantity, wherein a current inflow end node is positive, a current outflow end node is negative, a current inflow head end node from a high-voltage side is negative, and a current inflow head end node from the high-voltage side is positive; the line number of the current step characteristic quantity matrix corresponds to a time section for forming a current step, namely, each current step forms a line vector;
in this embodiment, the threshold default absolute value of the current amount step is greater than 0.5A.
Step 2, analyzing the current direction based on the current step characteristic quantity matrix formed by the end node in the step 1, and judging the type of the load or the power supply access node;
the specific method of the step 2 is as follows:
the current direction of the current step characteristic quantity matrix generated in the step 1 is analyzed, and the principle that the photovoltaic flows to the power grid side, the load flows to the load side and the energy storage flows bidirectionally is combined, so that the type of the load or the power supply access node is judged to be a photovoltaic node, an energy storage node or a load node;
the specific judgment principle is as follows:
(1) The second column of the matrix has more than 80 percent of all data items with negative duty ratio, and the node is a photovoltaic system;
(2) The second column of the matrix has more than 99 percent of all data items with positive duty ratio, and the node is a load system;
(3) All data items in the second column of the matrix are positive data with the data proportion being more than 40% and less than 60%, and the node is an energy storage system
(4) If the three types are not satisfied, the method is to be determined.
In this embodiment, the above data items may be corrected according to actual conditions.
Step 3, based on the node type determined in the step 2, completing the household change relation identification of the photovoltaic and energy storage nodes according to an active node household change relation identification method;
the specific method of the step 3 is as follows:
taking a current step characteristic quantity matrix of a photovoltaic or energy storage node as an end matrix, taking all transformer side current step characteristic quantity matrices participating in evaluation as reference matrices, carrying out difference degree calculation on the end matrix and the reference matrices, and selecting a transformer with the smallest difference degree as a transformer to which the photovoltaic or energy storage node belongs.
And 4, based on the node type determined in the step 2, completing user-variable relation identification of the load node.
The specific method of the step 4 is as follows:
firstly, integrating three current step feature quantity matrixes of photovoltaic nodes, energy storage nodes and transformer sides in all the transformer areas participating in identification to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area; and then, carrying out difference degree calculation on the current step characteristic quantity matrix of the load node and the reference matrix of all the transformer areas, and taking the transformer with the smallest difference degree as the transformer for the load.
The specific step of integrating the three current step feature quantity matrixes of the photovoltaic nodes, the energy storage nodes and the transformer sides in all the transformer areas participating in the identification in the step 4 to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area comprises the following steps:
(1) In three current step feature quantity matrixes at a photovoltaic node, an energy storage node and a transformer side in a platform area, if any value of a first column of any matrix and all primary color differences of a first column of other matrixes are larger than 15 minutes, the value is correspondingly divided into a new reference matrix in whole row, if any value of the first column of any matrix and a value of a first column of other matrixes are smaller than or equal to 15 minutes, the first element is divided by the whole row, other elements are summed, and the first element is averaged:
such as a matrix of photovoltaic nodes
The energy storage node matrix is
The node matrix of the transformer is
13:02 for matrix A, 13:12 for matrix B and 13:04 for matrix C correspond to less than 15 minutes, then the three rows of data are summed except for the first element, and the time columns are averaged to obtain 13:06.
The time corresponding to 14:00 of matrix A and 14:02 of matrix B is less than 15 minutes, then the two rows of data are summed except for the first element, and the time columns are averaged to obtain 14:01.
(2) The other rows are directly incorporated into a new reference matrix, and the new reference matrix is finally obtained as follows:
in order to complete the user-variable relation identification of the photovoltaic, energy storage nodes and load nodes in the step 3 and the step 4, the difference degree calculation method comprises the following steps:
(1) Setting a current step characteristic quantity matrix of a load node as a= [ A1, A2, A3, ], and setting a reference matrix as b= [ B1, B2, B3, ], wherein n represents the length of the matrix; A1-An, and B1-Bn are m-dimensional column vectors;
in this embodiment, for example, A1 is [ a11, a12, a13, …, A1m ]', where the dimensions corresponding to A1 and B1 are all time;
(2) Analyzing corresponding row numbers of which the corresponding quantity difference of the A1 and B1 column vectors is smaller than 10 minutes, and forming two corresponding w x n-dimensional matrixes of A '= [ A1', A2', A3';
in this embodiment, if the differences between a11 and b11, and between a13 and b13 are smaller than 10 minutes, A1' = [ a11, a13] ', A2' = [ a21, a23] ' … An ' = [ An1, an3] are formed in the new row vector
B1’＝[b11,b13]’，B2’＝[b21,b23]’…Bn’＝[bn1,bn3]’…
(3) The degree of difference Dis is calculated by the following formula:
Dis＝∑sqrt(((A2’+B2’)^2+(A3’+B3’)^2+...+(An’+Bn’)^2)/x
where Σ represents summing all the rows found, where Σ2 represents the square operation, sqrt represents the square operation.
By the topology identification method for the low-voltage distribution network with the distributed power supply, the accuracy of topology identification can be improved, the identification efficiency and the degree of automation can be improved, the applicability is wide, and the integration and the application of the distributed power supply can be promoted.
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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Claims (8)
1. A topology identification method of a low-voltage distribution network with a distributed power supply is characterized by comprising the following steps: the method comprises the following steps:
step 1, data monitoring is carried out on a first node and a last node of a low-voltage power distribution network, current step characteristic quantity is collected and calculated, and a current step characteristic quantity matrix is obtained;
step 2, analyzing the current direction based on the current step characteristic quantity matrix formed by the end node in the step 1, and judging the type of the load or the power supply access node;
step 3, based on the node type determined in the step 2, completing the household change relation identification of the photovoltaic and energy storage nodes according to an active node household change relation identification method;
and 4, based on the node type determined in the step 2, completing user-variable relation identification of the load node.
2. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 1, wherein the method comprises the following steps of: the specific method for monitoring the data at the first node and the last node of the low-voltage power distribution network in the step 1 is as follows: the method comprises the steps that voltage and current quantity data of head and tail nodes of a low-voltage power distribution network are collected through a sensor;
the first node refers to a low-voltage side of the transformer, and the last node refers to a photovoltaic access side, a load access side and a power supply access side.
3. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 1, wherein the method comprises the following steps of: the specific method for acquiring and calculating the current step characteristic quantity in the step 1 and acquiring the current step characteristic quantity matrix comprises the following steps:
the acquired current and voltage are processed, and a current step characteristic quantity matrix is calculated and acquired;
each row of the current step characteristic quantity matrix corresponds to 17 columns, and comprises 17 dimensions of time, current step quantity and 1-15 times of harmonic wave step quantity, wherein a current inflow end node is positive, a current outflow end node is negative, a current inflow head end node from a high-voltage side is negative, and a current inflow head end node from the high-voltage side is positive; the number of lines of the current step feature quantity matrix corresponds to a time section of a strip forming a current step, and each current step forms a line vector.
4. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 1, wherein the method comprises the following steps of: the specific method of the step 2 is as follows:
the current direction of the current step characteristic quantity matrix generated in the step 1 is analyzed, and the principle that the photovoltaic flows to the power grid side, the load flows to the load side and the energy storage flows bidirectionally is combined, so that the type of the load or the power supply access node is judged to be a photovoltaic node, an energy storage node or a load node;
the specific judgment principle is as follows:
(1) The second column of the matrix has more than 80 percent of all data items with negative duty ratio, and the node is a photovoltaic system;
(2) The second column of the matrix has more than 99 percent of all data items with positive duty ratio, and the node is a load system;
(3) All data items in the second column of the matrix are positive data with the data proportion of more than 40% and less than 60%, and the node is an energy storage system;
(4) If the three types are not satisfied, the method is to be determined.
5. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 1, wherein the method comprises the following steps of: the specific method of the step 3 is as follows:
taking a current step characteristic quantity matrix of a photovoltaic or energy storage node as an end matrix, taking all transformer side current step characteristic quantity matrices participating in evaluation as reference matrices, carrying out difference degree calculation on the end matrix and the reference matrices, and selecting a transformer with the smallest difference degree as a transformer to which the photovoltaic or energy storage node belongs.
6. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 1, wherein the method comprises the following steps of: the specific method of the step 4 is as follows:
firstly, integrating three current step feature quantity matrixes of photovoltaic nodes, energy storage nodes and transformer sides in all the transformer areas participating in identification to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area; and then, carrying out difference degree calculation on the current step characteristic quantity matrix of the load node and the reference matrix of all the transformer areas, and taking the transformer with the smallest difference degree as the transformer for the load.
7. The method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 6, wherein the method comprises the following steps: the specific step of integrating the three current step feature quantity matrixes of the photovoltaic nodes, the energy storage nodes and the transformer sides in all the transformer areas participating in the identification in the step 4 to obtain a new current step feature quantity matrix serving as a reference matrix of the corresponding transformer area comprises the following steps:
(1) In three current step feature quantity matrixes at a photovoltaic node, an energy storage node and a transformer side in a platform area, if any value of a first column of any matrix and all primary color differences of a first column of other matrixes are larger than 15 minutes, the value is correspondingly divided into a new reference matrix in whole row, if any value of the first column of any matrix and a value of a first column of other matrixes are smaller than or equal to 15 minutes, the first element is divided by the whole row, other elements are summed, and the first element is averaged:
such as a matrix of photovoltaic nodes
The energy storage node matrix is
The node matrix of the transformer is
13:02 of matrix A, 13:12 of matrix B and 13:04 of matrix C correspond to less than 15 minutes, then the three rows of data are summed except for the first element, and the time columns are averaged to obtain 13:06;
the time corresponding to 14:00 of matrix A and 14:02 of matrix B is less than 15 minutes, and then the two rows of data are summed except the first element, and the time columns are averaged to obtain 14:01;
(2) The other rows are directly incorporated into a new reference matrix, and the new reference matrix is finally obtained as follows:
8. the method for identifying the topology of the low-voltage distribution network comprising the distributed power supply according to claim 6, wherein the method comprises the following steps: in order to complete the user-variable relation identification of the photovoltaic, energy storage nodes and load nodes in the step 3 and the step 4, the difference degree calculation method comprises the following steps:
(1) Setting a current step characteristic quantity matrix of a load node as a= [ A1, A2, A3, ], and setting a reference matrix as b= [ B1, B2, B3, ], wherein n represents the length of the matrix; A1-An, and B1-Bn are m-dimensional column vectors;
(2) Analyzing corresponding row numbers of which the corresponding quantity difference of the A1 and B1 column vectors is smaller than 10 minutes, and forming two corresponding w x n-dimensional matrixes of A '= [ A1', A2', A3';
(3) The degree of difference Dis is calculated by the following formula:
Dis＝∑sqrt(((A2’+B2’)^2+(A3’+B3’)^2+...+(An’+Bn’)^2)/x
where Σ represents summing all the rows found, where Σ2 represents the square operation, sqrt represents the square operation.
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