CN116404650A - Power grid power supply area dividing method, device, equipment and storage medium - Google Patents
Power grid power supply area dividing method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a power grid power supply area dividing method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining the update frequency of the current power grid; according to the update frequency and the edge betweenness of the current power grid topological structure, determining candidate tie lines of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid; selecting a target tie line from the candidate tie lines; dividing a current power grid topological structure according to a target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid; and carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes. The method and the device improve the robustness of the power supply area of the power grid and the scientificity and rationality of the division of the power supply area of the power grid.
Description
Technical Field
The present invention relates to the field of power systems, and in particular, to a method, an apparatus, a device, and a storage medium for dividing a power supply area of a power grid.
Background
With the rapid development of social economy, the demand of loads at all levels is increased rapidly, the operation plans of the transformer substation are increased gradually, the scale of the grid structure is increased rapidly, and it is important to formulate a reasonable and effective power supply area division scheme of the power grid.
The robustness of the power grid power supply area provided by the existing power grid power supply area dividing method is poor and is not scientific and reasonable.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for dividing a power supply area of a power grid, so as to improve the robustness of the power supply area of the power grid and the scientificity and rationality of the division of the power supply area of the power grid.
According to an aspect of the present invention, there is provided a power grid power supply area dividing method, including:
determining the update frequency of the current power grid;
according to the update frequency and the edge betweenness of the current power grid topological structure, determining candidate tie lines of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid;
selecting a target tie line from the candidate tie lines;
dividing a current power grid topological structure according to a target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid;
And carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes.
According to another aspect of the present invention, there is provided a power grid power supply area dividing apparatus, including:
the update frequency determining module is used for determining the update frequency of the current power grid;
the candidate tie line determining module is used for determining candidate tie lines of the current power grid topological structure according to the update frequency and the edge betweenness of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid;
the target tie line determining module is used for selecting a target tie line from the candidate tie lines;
the power supply area determining module is used for dividing the current power grid topological structure according to the target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid;
the target power supply area determining module is used for carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining the target power supply area of the current power grid under the condition that verification is passed.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the grid powered area dividing method of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the grid powered area dividing method of any of the embodiments of the present invention when executed.
According to the technical scheme, the update frequency of the current power grid is determined; according to the update frequency and the edge betweenness of the current power grid topological structure, determining candidate tie lines of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid; selecting a target tie line from the candidate tie lines; dividing a current power grid topological structure according to a target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid; and carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes. According to the technical scheme, the influence of the network topological structure characteristic of the current power grid and the update frequency of the current power grid on the division of the current power grid power supply area is comprehensively considered, and the robustness of the power grid power supply area is improved; and meanwhile, constraint verification is carried out on the power supply area of the current power grid based on preset constraint conditions, and under the condition that verification passes, the target power supply area of the current power grid is obtained, so that the scientificity and rationality of power supply area division of the power grid are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a power grid power supply area dividing method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a power grid power supply area dividing method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power grid power supply area dividing device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the power grid power supply area dividing method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "candidate" and "target" and the like in the description of the present invention and the claims and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, it should be noted that, in the technical scheme of the present invention, the total number of times of the update operation of the power supply area preset by the current power grid and the number of the power supply areas to be updated preset by the current power grid are all processed, such as collection, storage, use, processing, transmission, provision, disclosure and the like, which meet the requirements of the related laws and regulations, and do not violate the popular regulations.
Example 1
Fig. 1 is a flowchart of a power grid power supply area dividing method according to an embodiment of the present invention, where the embodiment is applicable to a case of making a power grid power supply area dividing scheme, the method may be performed by a power grid power supply area dividing device, and the device may be implemented in a form of hardware and/or software and may be configured in an electronic device. As shown in fig. 1, the method includes:
s101, determining the update frequency of the current power grid.
The update frequency may refer to the dividing number of dividing the power supply area by the current power grid.
Specifically, based on the total number of updating operations of the power supply area preset by the current power grid and the number of power supply areas to be updated preset by the current power grid, the updating frequency of the current power grid is determined through the following formula:
wherein G is the update frequency of the current power grid, M is the total number of preset power supply area update operations, and S is the number of preset power supply areas to be updated of the current power grid. The power supply area to be updated may refer to a power supply area to be divided in the current power grid.
It should be noted that, according to the update frequency of the current power grid, the iteration number of the subsequent division of the current power grid topology structure by using the community structure discovery algorithm may be determined, for example, the iteration number of the community structure discovery algorithm is equal to the update frequency of the current power grid, and for example, the iteration number of the community structure discovery algorithm is in a proportional relationship with the update frequency of the current power grid. The community structure discovery algorithm may be a split-based algorithm or a modularity-based algorithm. The modularity is used for quantitatively measuring the dividing quality of the current power grid power supply area.
S102, determining candidate tie lines of the current power grid topological structure according to the update frequency and the edge betweenness of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid.
It should be noted that, the nodes in the current power grid topology structure are divided into substation nodes and other nodes; wherein, other nodes refer to nodes except substation nodes, such as load nodes.
The edge betweenness of each edge in the current power grid topological structure refers to the times that the shortest paths among all nodes in the current power grid topological structure pass through the edge, and the edge betweenness can be calculated based on a preset edge betweenness calculation rule, such as the calculation of the edge betweenness based on a shortest path algorithm. For example, for the edge betweenness of each edge in the current power grid topology structure, if the initial value of the edge betweenness of the edge is 0, when calculating the shortest path between all nodes of the current power grid topology structure, if the shortest path between any two nodes of the current power grid passes through the edge, the edge betweenness of the edge is added with 1.
The candidate tie line may refer to an edge that may be selected in the current power grid topology in each iteration of the community structure discovery algorithm. It should be noted that, the update frequency of the current power grid is positively related to the number of candidate tie lines in the current power grid topology, but is not specifically limited, for example, there is a proportional relationship between the update frequency of the current power grid and the number of candidate tie lines in the current power grid topology. For example, if the update frequency of the current power grid is 2, the number of candidate tie lines of the current power grid topology is 4. It should be noted that, the iteration number of the community structure discovery algorithm may be determined according to the update frequency of the current power grid, which is not limited in the implementation of the present invention, for example, the iteration number of the community structure discovery algorithm is equal to the update frequency of the current power grid, and for example, the iteration number of the community structure discovery algorithm is in a proportional relationship with the update frequency of the current power grid.
Specifically, in each iteration process of the community structure discovery algorithm, determining the number of candidate tie lines as a target number according to the relation between the update frequency of the current power grid and the number of candidate tie lines of the current power grid topological structure; and selecting a target number of edge betweens from the edge betweens of each edge in the current power grid topological structure according to the sequence from large to small, and taking the edges corresponding to the edge betweens as candidate tie lines of the current power grid topological structure in the iterative process of the community structure discovery algorithm.
For example, if the update frequency of the current power grid is G and g=2, the iteration number of dividing the current power grid topology structure by the community structure discovery algorithm is 2; the number of candidate tie lines of the current power grid topological structure is A, and if A=2G, the target number is 4; in each iteration process of the community structure discovery algorithm, if all edge betweenness in the current power grid topological structure are 10, 4 edge betweenness are selected from the 10 edge betweenness in the current power grid topological structure according to the sequence from big to small, and the edges corresponding to the 4 edge betweenness are used as candidate tie lines of the current power grid topological structure in the iteration process of the community structure discovery algorithm.
S103, selecting a target tie line from the candidate tie lines.
Specifically, a target tie line is selected from candidate tie lines of the current power grid topological structure in the iterative process of each community structure discovery algorithm.
Illustratively, based on a random algorithm, randomly selecting one candidate tie line from candidate tie lines of a current power grid topological structure in each iteration process of the community structure discovery algorithm as a target tie line.
The method includes the steps of calculating an intermediate value of an edge dielectric number corresponding to a candidate tie line of a current power grid topological structure in each community structure discovery algorithm iteration process, and taking the candidate tie line corresponding to the intermediate value as a target tie line.
It can be understood that the target tie line is selected from the candidate tie lines of the current power grid topological structure in the iterative process of the community structure discovery algorithm, so that the subsequent division of the current power grid topological structure is more accurate, and the communication efficiency of the current power grid power supply area obtained subsequently is improved.
S104, dividing the current power grid topological structure according to the target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid.
The community structure discovery algorithm may be a split-based algorithm or a modularity-based algorithm. The modularity is used for quantitatively measuring the dividing quality of the current power grid power supply area.
Exemplary, dividing the current power grid topology structure by deleting a target tie line in the iteration process of the community structure discovery algorithm in each iteration process of the community structure discovery algorithm based on the Girvan-Newman algorithm (namely GN algorithm); and after the iteration of the community structure algorithm is finished, obtaining a power supply area of the current power grid.
S105, carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes.
The constraint conditions can be preset according to actual needs. The target power supply area may refer to a power supply area that is finally divided by the current power grid.
Specifically, constraint verification is performed on a power supply area of a current power grid obtained based on a community structure discovery algorithm based on preset constraint conditions, and the power supply area of the current power grid obtained based on the community structure discovery algorithm is used as a target power supply area of the current power grid under the condition that verification is passed.
It should be noted that, constraint verification is performed on the current power supply area of the power grid obtained based on the community structure discovery algorithm based on a preset constraint condition, and if the verification is not passed, the execution returns to S102.
It can be understood that constraint verification is performed on the power supply area of the current power grid obtained based on the community structure discovery algorithm, so that stable operation of each target power supply area of the current power grid can be ensured, the overall operation state of the current power grid is not influenced, and further the overall stability of the current power grid can be ensured.
In an alternative embodiment, the constraints include a power supply area size constraint, a power balance constraint, and a substation capacity constraint;
the size constraint condition of the power supply area is as follows:
wherein N is D To the total number of nodes in the power supply area, m li For the shortest distance from node i to substation node l in power supply area, U max The maximum division scale of the power supply area allowed by the current power grid is set;
the power balance constraint conditions are:
wherein N is 1 For the total number of substation nodes in a power supply area, N 2 For the total number of other nodes except the transformer substation nodes in the power supply area, alpha is the minimum output coefficient and P Gi For the output power of a transformer substation node i in a power supply area, P Di The load active power of a node i except a transformer substation node in a power supply area is obtained;
the capacity constraint conditions of the transformer substation are as follows:
wherein k is a fixed value, S si For the total capacity of the substation in the power supply area s, P i For the total load of node i in the supply region s, N D Is the total number of nodes in the power supply area.
It should be noted that, at present, maximum division scale U of power supply area allowed by power grid max The method can be preset according to the capability of recovering from the current power grid fault.
The constraint conditions set by the alternative embodiment comprehensively consider the capability of the current power grid to recover from emergency conditions (such as power failure accidents caused by extreme weather disasters), the maximum division scale of the power supply areas allowed by the current power grid, the requirements of the interior of each power supply area of the current power grid on power and the requirements of the interior of each power supply area of the current power grid on transformer substation capacity, so that the power supply areas of the current power grid subjected to constraint verification have better robustness, and further the power failure fault of each power supply area of the current power grid can be better avoided.
According to the technical scheme, the update frequency of the current power grid is determined; according to the update frequency and the edge betweenness of the current power grid topological structure, determining candidate tie lines of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid; selecting a target tie line from the candidate tie lines; dividing a current power grid topological structure according to a target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid; and carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes. According to the technical scheme, the influence of the network topological structure characteristic of the current power grid and the update frequency of the current power grid on the division of the current power grid power supply area is comprehensively considered, and the robustness of the power grid power supply area is improved; and meanwhile, constraint verification is carried out on the power supply area of the current power grid based on preset constraint conditions, and under the condition that verification passes, the target power supply area of the current power grid is obtained, so that the scientificity and rationality of power supply area division of the power grid are improved.
Example two
Fig. 2 is a flowchart of a power grid power supply area dividing method according to a second embodiment of the present invention, where the "selecting a target tie line from candidate tie lines" is further optimized based on the foregoing embodiment, and an alternative implementation is provided. In the embodiments of the present invention, parts not described in detail may be referred to for related expressions of other embodiments. As shown in fig. 2, the method includes:
s201, determining the update frequency of the current power grid.
S202, determining candidate tie lines of the current power grid topological structure according to the update frequency and the edge betweenness of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid.
And S203, determining a weight coefficient of a node in the current power grid topological structure according to the edge betweenness and the tidal current active power of the line in the current power grid topological structure.
The active power of the power flow may refer to the active power of a line in the current power grid topological structure under a given condition. For example, under the given conditions of the current power grid topological structure, element parameters and load parameters, the active power of the line in the current power grid topological structure, namely the active power of the power flow of the line in the current power grid topological structure, is calculated. The weight coefficient of the node is used for representing the importance degree of the node in the current power grid topological structure.
Specifically, taking the edge betweenness of the current power grid topological structure and the tidal current active power of the line as line indexes of the current power grid topological structure, wherein the number of the line indexes is 2; counting the total number of lines in the current power grid topological structure; according to the line index and the total number of the lines, determining the information entropy of the current power grid topological structure under the j (j=1, 2) th index through the following formula:
wherein n is a circuit line in the current power grid topologyTotal number of x ij For the index value of the ith (i=1, 2, … …, n) line under the jth (j=1, 2) index in the current power grid topology structure, x ij Is a positive integer; z ij The index value, p, of the ith (i=1, 2, … …, n) line under the jth (j=1, 2) index in the current power grid topological structure obtained after normalization ij For the specific gravity of the ith (i=1, 2, … …, n) line of the current power grid topology structure under the j (j=1, 2) index,
e, the index value of all lines in the current power grid topological structure under the j index is e j And (3) the information entropy of the current power grid topological structure under the j (j=1, 2) th index. And then determining the weight coefficient of the node in the current power grid topological structure through the following formula:
wherein v is j The weight coefficient of the j (j=1, 2) index in the current power grid topology structure is represented, namely, the weight coefficient of each node in the current power grid topology structure line under the j (j=1, 2) index.
For example, if the current grid topology is the line index and the total number of lines, the following table is given:
| edge number | Tidal current active power of line | |
| Lines 1-2 (i.e., line 1) | 2 | 40 |
| Line 2-3 (i.e. line 2) | 3 | 50 |
| Lines 3-4 (i.e., line 3) | 4 | 60 |
From the data in the above table, it can be seen that n=3, x 11 ＝2，x 12 By analogy with 40, the index value x of each line under each index in the current power grid topology structure can be obtained ij Thereby obtaining the index value z of the ith (i=1, 2, 3) line under the jth (j=1, 2) index in the current power grid topological structure obtained after the standardization processing ij The specific gravity p occupied by the ith (i=1, 2, 3) line of the current power grid topology structure under the j (j=1, 2) index ij Information entropy e of current grid topology under j (j=1, 2) th index j And further obtaining a weight coefficient of the j (j=1, 2) index in the current power grid topological structure, namely the weight coefficient of each node in the current power grid topological structure line under the j (j=1, 2) index.
It should be noted that the weight coefficient of the node in the current power grid topology structure is fixed in each iteration process of the community structure discovery algorithm. The iteration number of the community structure discovery algorithm can be determined according to the update frequency of the current power grid, and the implementation of the invention does not limit the method specifically, for example, the iteration number of the community structure discovery algorithm is equal to the update frequency of the current power grid, and for example, the iteration number of the community structure discovery algorithm is in a proportional relation with the update frequency of the current power grid.
S204, determining an adjacency matrix of the current power grid topological structure according to the edge betweenness, the weight coefficient of the node and the tidal current active power of the line.
Specifically, according to the edge betweenness, the weight coefficient of the node and the tidal current active power of the line, the adjacency matrix of the current power grid topological structure is calculated by the following formula:
wherein N is the total number of nodes in the current power grid topology, N is a positive integer, i is the ith (i=1, 2, … …, N) node in the current power grid topology, j is the jth (j=1, 2, … …, N) node in the current power grid topology, W represents the adjacency matrix of the current power grid topology, and W ij B is the edge weight between the node i and the node j in the current power grid topological structure ij For representing the importance level of the line between node i and node j in the current power grid topology structure, P ij The active power of the current line between the node i and the node j in the power grid topological structure is M ij Is the edge betweenness between node i and node j in the current power grid topology.
It should be noted that, in each iteration process of the community structure discovery algorithm, the adjacency matrix of the current power grid topology structure is fixed.
S205, deleting each candidate tie line from the current power grid topological structure to generate a corresponding candidate power supply area, and calculating the modularity of the current power grid topological structure according to the candidate power supply area and the adjacent matrix to serve as the corresponding modularity of the candidate tie line.
The candidate power supply area may be a power supply area generated by deleting the candidate tie, where the number of candidate power supply areas is at least 2. The modularity is used for quantitatively measuring the dividing quality of the current power grid power supply area. It can be understood that the greater the modularity of the current power grid topology, the higher the dividing quality of the current power grid power supply area, and the tighter the connection between the nodes in each power supply area in the current power grid.
Specifically, for each candidate tie line in the iterative process of the community structure discovery algorithm, deleting the candidate tie line from the current power grid topological structure to generate a corresponding candidate power supply region, and calculating the modularity of the current power grid topological structure according to the candidate power supply region and the adjacent matrix to serve as the corresponding modularity of the candidate tie line.
Optionally, for each candidate tie line, deleting the candidate tie line from the current power grid topological structure and then generating a corresponding candidate power supply area; calculating the modularity of the current power grid topological structure according to the candidate power supply area and the edge weight of each edge in the adjacent matrix by the following formula:
wherein Q is the modularity of the current power grid topology, m is the total number of edges in the current power grid topology, n is the total number of edges in the candidate power supply area, and w ij Is the edge weight, k between the node i and the node j in the adjacency matrix of the current power grid topological structure i And k j The degree of node i and node j, respectively, in the candidate power supply region, the function delta (s i ,s j ) Representing candidate power supply region s where node i is located i And candidate power supply region s where node j is located j Relationship between them.
It can be understood that in the iterative process of each community structure discovery algorithm, the influence of each candidate tie on the power supply area divided by the current power grid is detected and deleted by calculating the modularity of each candidate tie in advance, so that a foundation is laid for selecting a target tie from the candidate tie of the current power grid topological structure in the iterative process of each community structure discovery algorithm.
S206, selecting a target tie line from the candidate tie lines according to the modularity corresponding to the candidate tie lines.
Specifically, calculating the maximum value of the modularity corresponding to each candidate tie line of the current power grid topological structure in the iterative process of the community structure discovery algorithm, and taking the candidate tie line corresponding to the maximum value as a target tie line in the iterative process of the community structure discovery algorithm.
S207, dividing the current power grid topological structure according to the target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid.
S208, carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes.
According to the technical scheme provided by the embodiment of the invention, in the iterative process of the community structure discovery algorithm, the target tie lines are selected from the candidate tie lines by calculating the corresponding modularity of each candidate tie line, so that the current power grid topological structure is conveniently and scientifically and reasonably partitioned based on the community structure discovery algorithm, the quality of the power supply area obtained by partitioning the current power grid is further improved, and the connection between the nodes in each power supply area obtained by partitioning the current power grid is tighter.
On the basis of the above embodiment, as an optional manner of the embodiment of the present invention, based on a community structure discovery algorithm, the method further includes, after dividing the current power grid topology according to the target tie line to obtain the power supply area of the current power grid: acquiring newly added nodes in the current power grid topological structure as pre-divided nodes; and calculating the ratio of the load of the pre-dividing node to the total load of each power supply area in the current power grid, and adding the pre-dividing node into the power supply area in the current power grid corresponding to the maximum ratio.
The pre-divided node may be a newly added substation node in the current power grid topology structure, or may be a newly added node except for the substation node in the current power grid topology structure, such as a load node.
Specifically, after the execution of S207, a newly added node in the current power grid topology structure is obtained and used as a pre-divided node; the ratio of the load of the pre-divided node to the total load of each power supply area in the current power grid is expressed by the following formula:
wherein L is S For pre-dividing the load of nodesRatio of total load of each power supply area in current power grid, P i Load for pre-dividing node i; p (P) S,j N is the total load of the power supply area S, and N is the total number of nodes in the power supply area S. In the case of determining the power supply area, the total load of the power supply area is fixed.
And adding the pre-divided nodes into the power supply areas in the current power grid corresponding to the maximum ratio to ensure the load balance in the power supply areas in the current power grid corresponding to the maximum ratio, thereby improving the stability of each power supply area of the current power grid. After that, S208 is performed. It should be noted that, constraint verification is performed on the power supply area based on a preset constraint condition, and if the verification is not passed, S202 is executed back.
The method fully considers the real-time change condition of the current power grid topological structure, realizes the dynamic adjustment or division of the current power grid power supply area, improves the flexibility of the division of the current power grid power supply area, can better cope with the change condition of the current power grid topological structure, and further improves the robustness of the power grid power supply area.
Example III
Fig. 3 is a schematic structural diagram of a power grid power supply area dividing device according to a third embodiment of the present invention. The embodiment can be suitable for the situation of making a power grid power supply area division scheme, and the device can be realized in a hardware and/or software mode and can be configured in electronic equipment. As shown in fig. 3, the apparatus includes:
the update frequency determining module 301 is configured to determine an update frequency of a current power grid;
the candidate tie line determining module 302 is configured to determine a candidate tie line of the current power grid topology structure according to the update frequency and the edge betweenness of the current power grid topology structure; the current power grid topological structure is the network topological structure of the current power grid;
a target tie determination module 303, configured to select a target tie from the candidate ties;
the power supply area determining module 304 is configured to divide a current power grid topology structure according to a target tie line based on a community structure discovery algorithm to obtain a power supply area of a current power grid;
The target power supply area determining module 305 is configured to perform constraint verification on the power supply area based on a preset constraint condition, and obtain a target power supply area of the current power grid when the verification passes.
According to the technical scheme, the update frequency of the current power grid is determined through the update frequency determining module; determining candidate tie lines of the current power grid topological structure through a candidate tie line determining module; selecting a target tie line from the candidate tie lines through a target tie line determining module; determining a power supply area of a current power grid through a power supply area determining module; and carrying out constraint verification on the power supply area based on a preset constraint condition through a target power supply area determining module, and obtaining the target power supply area of the current power grid under the condition that verification passes. According to the technical scheme, the influence of the network topological structure characteristic of the current power grid and the update frequency of the current power grid on the division of the current power grid power supply area is comprehensively considered, and the robustness of the power grid power supply area is improved; and meanwhile, constraint verification is carried out on the power supply area of the current power grid based on preset constraint conditions, and under the condition that verification passes, the target power supply area of the current power grid is obtained, so that the scientificity and rationality of power supply area division of the power grid are improved.
Optionally, the target tie determination module 303 includes:
the weight coefficient determining unit is used for determining the weight coefficient of the node in the current power grid topological structure according to the edge betweenness and the tidal current active power of the line in the current power grid topological structure;
the adjacency matrix determining unit is used for determining an adjacency matrix of the current power grid topological structure according to the edge betweenness, the tidal current active power of the line and the weight coefficient of the node;
the module degree determining unit is used for deleting each candidate tie line from the current power grid topological structure to generate a corresponding candidate power supply area, and calculating the module degree of the current power grid topological structure according to the candidate power supply area and the adjacent matrix to serve as the module degree corresponding to the candidate tie line;
and the target tie line determining unit is used for selecting the target tie line from the candidate tie lines according to the corresponding modularity of the candidate tie lines.
Optionally, the modularity determining unit is specifically configured to:
for each candidate tie line, deleting the candidate tie line from the current power grid topological structure and then generating a corresponding candidate power supply area; calculating the modularity of the current power grid topological structure according to the candidate power supply area and the edge weight of each edge in the adjacent matrix by the following formula:
Wherein Q is modularity, m is the total number of edges in the current power grid topology, n is the total number of edges in the candidate power supply area, and w ij Is the edge weight, k between the node i and the node j in the adjacency matrix of the current power grid topological structure i And k j The degree of node i and node j, respectively, in the candidate power supply region, the function delta (s i ,s j ) Representing candidate power supply region s where node i is located i And candidate power supply region s where node j is located j Relationship between them.
Optionally, the constraint conditions include a power supply area size constraint condition, a power balance constraint condition and a substation capacity constraint condition;
the size constraint condition of the power supply area is as follows:
wherein N is D To the total number of nodes in the power supply area, m li For the shortest distance from node i to substation node l in power supply area, U max The maximum division scale of the power supply area allowed by the current power grid is set;
the power balance constraint conditions are:
wherein N is 1 For the total number of substation nodes in a power supply area, N 2 For the total number of other nodes except the transformer substation nodes in the power supply area, alpha is the minimum output coefficient and P Gi For the output power of a transformer substation node i in a power supply area, P Di The load active power of a node i except a transformer substation node in a power supply area is obtained;
The capacity constraint conditions of the transformer substation are as follows:
wherein k is a fixed value, S si For the total capacity of the substation in the power supply area s, P i For the total load of node i in the supply region s, N D Is the total number of nodes in the power supply area.
Optionally, the apparatus further comprises:
the pre-dividing node acquisition module is used for acquiring newly added nodes in the current power grid topological structure as pre-dividing nodes after dividing the current power grid topological structure according to the target tie line based on the community structure discovery algorithm to obtain a power supply area of the current power grid;
the pre-dividing node dividing module is used for calculating the ratio of the load of the pre-dividing node to the total load of each power supply area in the current power grid, and adding the pre-dividing node into the power supply area in the current power grid corresponding to the maximum ratio.
The power grid power supply area dividing device provided by the embodiment of the invention can execute the power grid power supply area dividing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the power grid power supply area dividing methods.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the grid power region division method.
In some embodiments, the grid powered area partitioning method may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of the grid powered area dividing method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the grid powered area dividing method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides a power grid power supply area division method which is characterized by comprising the following steps:
determining the update frequency of the current power grid;
according to the update frequency and the edge betweenness of the current power grid topological structure, determining candidate tie lines of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid;
selecting a target tie line from the candidate tie lines;
dividing a current power grid topological structure according to the target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid;
And carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining a target power supply area of the current power grid under the condition that verification passes.
2. The method of claim 1, wherein the selecting a target tie from the candidate ties comprises:
determining a weight coefficient of a node in the current power grid topological structure according to the edge betweenness and the tidal current active power of the line in the current power grid topological structure;
determining an adjacency matrix of the current power grid topological structure according to the edge betweenness, the tidal current active power of the line and the weight coefficient of the node;
for each candidate tie line, deleting the candidate tie line from the current power grid topological structure to generate a corresponding candidate power supply area, and calculating the module degree of the current power grid topological structure according to the candidate power supply area and the adjacent matrix to serve as the module degree corresponding to the candidate tie line;
and selecting a target tie line from the candidate tie lines according to the corresponding modularity of the candidate tie lines.
3. The method of claim 2, wherein for each candidate tie, generating a corresponding candidate power supply region after deleting the candidate tie from the current grid topology, and calculating a modularity of the current grid topology based on the candidate power supply region and the adjacency matrix, comprises:
For each candidate tie line, deleting the candidate tie line from the current power grid topological structure and then generating a corresponding candidate power supply area;
calculating the modularity of the current power grid topological structure according to the candidate power supply area and the edge weight of each edge in the adjacent matrix by the following formula:
wherein Q is the modularity, m is the total number of edges in the current power grid topology, n is the total number of edges in the candidate power supply area, and w ij Is the edge weight, k between the node i and the node j in the adjacency matrix of the current power grid topological structure i And k j The degree of node i and node j, respectively, in the candidate power supply region, the function delta (s i ,s j ) Representing candidate power supply region s where node i is located i And candidate power supply region s where node j is located j Relationship between them.
4. The method of claim 1, wherein the constraints include a power supply area size constraint, a power balance constraint, and a substation capacity constraint;
the size constraint condition of the power supply area is as follows:
wherein N is D To the total number of nodes in the power supply area, m li For the shortest distance from node i to substation node l in power supply area, U max The maximum division scale of the power supply area allowed by the current power grid is set;
The power balance constraint conditions are as follows:
wherein N is 1 For the total number of substation nodes in a power supply area, N 2 For the total number of other nodes except the transformer substation nodes in the power supply area, alpha is the minimum output coefficient and P Gi For the output power of a transformer substation node i in a power supply area, P Di The load active power of a node i except a transformer substation node in a power supply area is obtained;
the capacity constraint conditions of the transformer substation are as follows:
wherein k is a fixed value, S si For the total capacity of the substation in the power supply area s, P i For the total load of node i in the supply region s, N D Is the total number of nodes in the power supply area.
5. The method according to any one of claims 1-4, further comprising, after the community structure discovery algorithm divides the current power grid topology according to the target tie line to obtain a power supply area of the current power grid:
acquiring newly added nodes in the current power grid topological structure as pre-divided nodes;
and calculating the ratio of the load of the pre-dividing node to the total load of each power supply area in the current power grid, and adding the pre-dividing node into the power supply area in the current power grid corresponding to the maximum ratio.
6. The utility model provides a power grid power supply area division device which characterized in that includes:
The update frequency determining module is used for determining the update frequency of the current power grid;
the candidate tie line determining module is used for determining candidate tie lines of the current power grid topological structure according to the update frequency and the edge betweenness of the current power grid topological structure; the current power grid topological structure is the network topological structure of the current power grid;
the target tie line determining module is used for selecting a target tie line from the candidate tie lines;
the power supply area determining module is used for dividing the current power grid topological structure according to the target tie line based on a community structure discovery algorithm to obtain a power supply area of the current power grid;
the target power supply area determining module is used for carrying out constraint verification on the power supply area based on preset constraint conditions, and obtaining the target power supply area of the current power grid under the condition that verification passes.
7. The apparatus of claim 6, wherein the target tie determination module comprises:
the weight coefficient determining unit is used for determining the weight coefficient of the node in the current power grid topological structure according to the edge betweenness and the power flow active power of the line in the current power grid topological structure;
the adjacency matrix determining unit is used for determining an adjacency matrix of the current power grid topological structure according to the edge betweenness, the tidal current active power of the line and the weight coefficient of the node;
The module degree determining unit is used for deleting each candidate tie line from the current power grid topological structure to generate a corresponding candidate power supply area, and calculating the module degree of the current power grid topological structure according to the candidate power supply area and the adjacent matrix to serve as the module degree corresponding to the candidate tie line;
and the target tie line determining unit is used for selecting the target tie line from the candidate tie lines according to the corresponding modularity of the candidate tie lines.
8. The apparatus according to claim 7, wherein the modularity determining unit is specifically configured to:
for each candidate tie line, deleting the candidate tie line from the current power grid topological structure and then generating a corresponding candidate power supply area;
calculating the modularity of the current power grid topological structure according to the candidate power supply area and the edge weight of each edge in the adjacent matrix by the following formula:
wherein Q is the modularity, m is the total number of edges in the current power grid topology, n is the total number of edges in the candidate power supply area, and w ij Is the edge weight, k between the node i and the node j in the adjacency matrix of the current power grid topological structure i And k j The degree of node i and node j, respectively, in the candidate power supply region, the function delta (s i ,s j ) Representing candidate power supply region s where node i is located i And candidate power supply region s where node j is located j Relationship between them.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the grid powered area dividing method of any one of claims 1-5.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the grid powered area dividing method of any one of claims 1-5 when executed.
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