CN115795756A

CN115795756A - Region division method, device and equipment of photovoltaic power station

Info

Publication number: CN115795756A
Application number: CN202211461884.1A
Authority: CN
Inventors: 陈朋朋; 李凡; 陈建凯; 王�忠
Original assignee: Sungrow Renewables Development Co Ltd
Current assignee: Sungrow Renewables Development Co Ltd
Priority date: 2022-11-17
Filing date: 2022-11-17
Publication date: 2023-03-14

Abstract

The invention discloses a method, a device and equipment for dividing areas of a photovoltaic power station, wherein the method comprises the following steps: carrying out region division on photovoltaic group strings in a photovoltaic power station to obtain a plurality of photovoltaic regions; wherein the photovoltaic region comprises a plurality of photovoltaic string; for each photovoltaic area, acquiring a box transformer type set and a matrix reference capacity set of the photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one; dividing the plurality of photovoltaic regions into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set; partitioning the plurality of blocks into a plurality of sub-blocks based on the number of square matrices. By the method, the running speed of the square matrix area during automatic division is greatly improved through multi-stage area division, the efficiency and the precision of photovoltaic electronic area division are improved, the divided square matrix is more fit with an actual field, the actual wiring length of a cable is reduced, and the cost can be greatly reduced.

Description

Region division method, device and equipment of photovoltaic power station

Technical Field

The embodiment of the invention relates to the technical field of photovoltaic power supply, in particular to a method, a device and equipment for area division of a photovoltaic power station.

Background

In the design process of the photovoltaic power station, after the photovoltaic blocks are arranged in series, the power generation units, namely square matrixes, need to be divided according to the capacity of the square matrixes. The manual division has the following problems: design inefficiency: manual counting is performed, the efficiency is low, multiple schemes need to be compared, and the design period is long; the cost is high: the manual work can only start from a corner of a certain area and is divided in sequence according to the square matrix capacity; because the number of the combiner boxes is large, the cables are long, and an optimal scheme cannot be given; time is urgent: the land is not determined, the change is frequent, the time is urgent, and fine division is performed each time when manpower is not used. If the software algorithm is considered to be used for dividing the data, on one hand, tens of thousands of clusters in a factory area are formed, and all combinations cannot be exhausted by simply arranging and combining the clusters, and on the other hand, when the software is divided, a cross-region problem may occur, so that actual business rules are not met.

Disclosure of Invention

The embodiment of the invention provides a method, a device and equipment for area division of a photovoltaic power station, which can reduce the data volume during square matrix division on the premise of meeting business rules, improve the efficiency and the precision of photovoltaic electronic area division, and greatly reduce the cost.

In a first aspect, an embodiment of the present invention provides a method for dividing an area of a photovoltaic power station, where the method includes:

carrying out region division on photovoltaic group strings in a photovoltaic power station to obtain a plurality of photovoltaic regions; wherein the photovoltaic region comprises a plurality of photovoltaic string;

for each photovoltaic area, acquiring a box transformer type set and a square matrix reference capacity set of the photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one;

partitioning the plurality of photovoltaic regions into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set;

partitioning the plurality of blocks into a plurality of sub-blocks based on the number of squares.

In a second aspect, an embodiment of the present invention further provides an area division apparatus for a photovoltaic power station, where the apparatus includes:

the area division module is used for carrying out area division on the photovoltaic group strings in the photovoltaic power station to obtain a plurality of photovoltaic areas; wherein the photovoltaic region comprises a plurality of photovoltaic string;

the acquisition module is used for acquiring a box transformer type set and a square matrix reference capacity set of each photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one;

a block division module that divides the plurality of photovoltaic regions into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set;

a sub-block dividing module for dividing the plurality of blocks into a plurality of sub-blocks based on the square matrix capacity.

In a third aspect, an embodiment of the present disclosure further provides an electronic device, including:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, the one or more programs cause the one or more processors to implement the zone division method for a photovoltaic power plant provided by the embodiments of the present disclosure.

The invention discloses a region division method of a photovoltaic power station, which is used for carrying out region division on photovoltaic group strings in the photovoltaic power station to obtain a plurality of photovoltaic regions; wherein the photovoltaic region comprises a plurality of photovoltaic string; for each photovoltaic area, acquiring a box transformer type set and a matrix reference capacity set of the photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one; dividing the plurality of photovoltaic regions into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set; partitioning the plurality of blocks into a plurality of sub-blocks based on the number of squares. By the method, the running speed of the square matrix area during automatic division is greatly improved through multi-stage area division, the efficiency and the precision of photovoltaic electronic area division are improved, the divided square matrix is more fit with an actual field, the actual wiring length of a cable is reduced, and the cost can be greatly reduced.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

Fig. 1 is a schematic structural diagram of a region division method of a photovoltaic power station according to an embodiment of the present disclosure;

fig. 2 is a flowchart illustrating an implementation of determining block division as a block group in a method for area division of a photovoltaic power station according to an embodiment of the present disclosure;

fig. 3 is a schematic diagram of region division in the region division method provided in the embodiment of the present disclosure;

fig. 4 is a schematic diagram illustrating block division in the area division method according to the embodiment of the disclosure;

fig. 5 is a schematic view illustrating a sub-block division in the area division method according to the embodiment of the disclosure;

fig. 6 is an exemplary diagram of cost relationships between blocks in the region partitioning method according to the embodiment of the disclosure;

fig. 7 is a block connectivity diagram in the area division method according to the embodiment of the disclosure;

fig. 8 is an exemplary diagram of sub-block paths in the area division method according to the embodiment of the disclosure;

fig. 9 is a schematic structural diagram of an area division device of a photovoltaic power station according to an embodiment of the present invention;

fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

It is understood that before the technical solutions disclosed in the embodiments of the present disclosure are used, the type, the use range, the use scene, etc. of the personal information related to the present disclosure should be informed to the user and obtain the authorization of the user through a proper manner according to the relevant laws and regulations.

For example, in response to receiving a user's active request, prompt information is sent to the user to explicitly prompt the user that the requested operation to be performed would require acquisition and use of personal information to the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the disclosed technical solution, according to the prompt information.

As an alternative but non-limiting implementation manner, in response to receiving an active request from the user, the manner of sending the prompt information to the user may be, for example, a pop-up window manner, and the prompt information may be presented in a text manner in the pop-up window. In addition, a selection control for providing personal information to the electronic device by the user's selection of "agreeing" or "disagreeing" can be carried in the pop-up window.

It is understood that the above notification and user authorization process is only illustrative and is not intended to limit the implementation of the present disclosure, and other ways of satisfying the relevant laws and regulations may be applied to the implementation of the present disclosure.

It will be appreciated that the data referred to in this disclosure, including but not limited to the data itself, the acquisition or use of the data, should comply with the requirements of the applicable laws and regulations and related regulations.

Example one

Fig. 1 is a schematic structural diagram of a region division method of a photovoltaic power station provided in an embodiment of the present disclosure, where the embodiment of the present disclosure is applicable to a region division situation of the photovoltaic power station, and the method may be executed by a region division apparatus, and the apparatus may be implemented in a form of software and/or hardware, or optionally, implemented by an electronic device, and the electronic device may be a mobile terminal, a PC terminal, a server, or the like.

As shown in fig. 1, the area division method for a photovoltaic power station provided in the embodiment of the present disclosure may specifically include the following steps:

and S110, carrying out area division on photovoltaic group strings in the photovoltaic power station to obtain a plurality of photovoltaic areas.

In this embodiment, the pv string may be a minimum unit having a desired dc output voltage in the pv power generation system by connecting a plurality of pv modules in series. The photovoltaic region may be a region where the set of stent points are far from each other, physically disconnected and completely isolated.

Specifically, the area of a plant area of the photovoltaic power station is divided, and the area can be divided by finding the connection relation of photovoltaic group strings in the power station, wherein the photovoltaic area comprises a plurality of photovoltaic group strings. The connection relation of the photovoltaic string can be determined through a distance threshold value obtained by cable voltage drop, and the strings with the distance smaller than the threshold value can be classified into the same type, namely the strings are in the same area. The connection relation of the photovoltaic string groups is divided, the string groups are divided in the same area, and all the string groups are divided to finally obtain a certain number of areas.

Exemplarily, fig. 3 is a schematic diagram of area division in the area division method provided by the embodiment of the present disclosure, as shown in fig. 3, the whole factory floor is divided into two large areas by area division, where a dark color part is an area 1 and a light color part is an area 2.

And S120, acquiring a box transformer type set and a square matrix reference capacity set of each photovoltaic area. And the square matrix reference capacity corresponds to the box transformer type one by one.

In this embodiment, the matrix capacity may be a set value, and when the number of battery packs included in one matrix is determined, the power generation capacity of the matrix is also determined, that is, the sum of the power generation capacities of all the battery packs is determined.

In this embodiment, the type of the box-type substation used in the photovoltaic power station and the matrix reference capacity corresponding to the type of the box-type substation can be determined by any existing method, which is not limited herein. Different box transformer types correspond to different square matrix reference capacities. The type of the box transformer substation used in the photovoltaic power station and the square matrix reference capacity corresponding to the type of the box transformer substation are determined. Different box transformer types correspond to different square matrix reference capacities, the square matrix reference capacities correspond to the box transformer types one by one, and the upper limit and the lower limit of the square matrix capacity can be determined according to the upper limit and the lower limit of the capacity ratio.

And S130, dividing the photovoltaic areas into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set.

Specifically, the photovoltaic region is divided again based on a distance threshold obtained by cable voltage drop, and a plurality of initial blocks are obtained. The method for dividing the photovoltaic region is the same as the method for dividing the photovoltaic region, and the distance threshold is smaller than the distance threshold. And calculating capacity values of all initial blocks, merging the blocks with the capacity smaller than a certain square matrix capacity into adjacent blocks, and repeating the operation until all the blocks are larger than the certain square matrix capacity to obtain a plurality of final blocks.

As described above, the areas are physically separated from each other, and there is no low voltage cable connection, and there may be physical connection between the partitioned blocks, and the distance between the connected blocks may be the cost of the distance between two blocks. And establishing a connected domain between the blocks based on the minimum support distance between the blocks and a minimum distance cost method. And finding the link which is connected with the most blocks as a main link, wherein each block on the main link can be defined as a main node, and other blocks are defined as sub-nodes.

And then, judging the independence of the blocks based on the square matrix capacity of the divided blocks, further dividing the blocks into block groups, calculating the box transformer type and the square matrix reference capacity used in the area, and obtaining the range of the square matrix capacity according to the capacity ratio. And calculating the block at the most corner to judge whether the block is independent or not, and continuing the operation for the combination of the non-independent block and the main node and the sub-node blocks thereof which are sequentially connected to sequentially traverse all the main nodes. The independent blocks can be isolated and processed independently, and the independent block combinations can be subjected to inter-block support transmission, so that the square matrix capacity combinations in the blocks are ensured to be within the upper and lower limit ranges of the square matrix capacity, and a plurality of independent blocks are finally formed.

For example, fig. 4 is a schematic diagram of block division in the area division method provided in the embodiment of the present disclosure, as shown in fig. 4, an area 1 is divided into two large blocks by block division, where a light color part is a block 1 and a dark color part is a block 2.

And S140, dividing the plurality of blocks into a plurality of sub-blocks based on the square matrix capacity.

In this embodiment, whether the block is further divided is determined based on the number of the square matrices, and when the number of the blocks is greater than a certain set threshold, the block is further divided. And calculating the number of the divided sub-blocks according to a set rule, and ensuring that the number of the sub-blocks is balanced with the number of the square matrixes in the sub-blocks. Establishing a communication network among all initial sub-blocks, carrying out the same operation on the sub-blocks according to the method for judging the block independence, finding a shortest transmission path when the support between all sub-block combinations is transmitted, possibly existing blocks in the shortest transmission path between two sub-blocks, transmitting the capacity overload part support to the block in the path firstly during transmission, and then distinguishing the capacity overload part support from the block in the path and transmitting the capacity overload part support to the capacity underload sub-block.

Exemplarily, fig. 5 is a schematic view of sub-block division in the area division method according to the embodiment of the present disclosure, and as shown in fig. 5, the block 2 is divided into two sub-blocks by sub-block division.

The invention discloses a region division method of a photovoltaic power station, which is used for carrying out region division on photovoltaic group strings in the photovoltaic power station to obtain a plurality of photovoltaic regions; the photovoltaic region comprises a plurality of photovoltaic string; dividing the plurality of photovoltaic regions into a plurality of blocks based on the square matrix capacity; the plurality of blocks are partitioned into a plurality of sub-blocks based on the square matrix capacity. By the method, the running speed of automatic division of the square matrix area is greatly improved through multi-stage area division, the efficiency and the precision of photovoltaic electronic area division are improved, the divided square matrix is more fit with an actual field, the actual wiring length of a cable is reduced, and the cost can be greatly reduced.

As one implementation manner of S110, a plurality of photovoltaic regions may be obtained by performing region division on photovoltaic strings in a photovoltaic power station, and specifically, the following steps are optimized:

a1 A first distance threshold is determined based on the cable resistivity, the combiner box output current, the tracking control voltage, and the droop ratio.

In this embodiment, the cable resistivity is determined by the optional low voltage cable of the power station, which is determined when the power station determines the cable to be used. The output current of the combiner box is the product of the access path number of the combiner box and the component current, and is determined as the output current value of the combiner box. The tracking control voltage may be a rated voltage of the maximum power point tracking controller selected. The pressure drop ratio may be set.

Specifically, the partition distance is less than or equal to the product of the tracking control voltage and the voltage drop proportion divided by the product based on the cable resistivity and the combiner box output current. The maximum value of the partition distance may be set as the first distance threshold.

b1 Clustering and dividing photovoltaic group strings in the photovoltaic power station based on the first distance threshold value to obtain a plurality of photovoltaic areas.

Specifically, when the distance between the photovoltaic strings in the photovoltaic power station is smaller than a first distance threshold, the two groups of strings can be divided into the same area, and all the strings in the plant area are subjected to partition judgment to obtain a plurality of areas.

According to the technical scheme, through the partition processing of the photovoltaic group strings, the regions, which are far away from each other, of the support point sets are not physically connected for complete partition, so that the regions are divided into square matrixes in respective blocks, and meanwhile, the calculation efficiency can be improved.

As one implementation of S130, the method may divide the plurality of photovoltaic regions into a plurality of blocks based on the square matrix capacity, and specifically includes the following steps:

a2 Cluster partitioning the photovoltaic region based on the second distance threshold to obtain a plurality of initial blocks.

In this embodiment, the division distance is equal to or less than a product value of the tracking control voltage and the step-down ratio divided by a product value based on the cable resistivity and the combiner box output current. The second distance threshold may be a value preset based on the partition distance, and the second distance threshold is smaller than the first distance threshold. When the distance between the photovoltaic group strings in one area is smaller than a second distance threshold value, the two groups of strings can be divided into the same block, and all the groups of strings in the factory area are subjected to partition judgment to obtain a plurality of initial blocks.

b2 ) dividing the plurality of initial blocks into at least one block group based on the set of box-variant types and the set of square matrix reference capacities.

Wherein the block group comprises one or more initial blocks.

In this embodiment, the model number of the box transformer and the reference capacity of the square matrix used in the area are calculated, and the threshold range corresponding to the reference capacity of the square matrix is obtained according to the volume ratio. And calculating the square matrix capacity of the most corner block to judge whether the block is independent or not, combining the non-independent block and the main nodes and the sub-node blocks thereof which are sequentially connected to form a block group, and continuing the operation to sequentially traverse all the main nodes.

c2 The supports in the block group are redistributed based on the matrix reference capacity set to obtain the target block.

Specifically, capacity overload and underload conditions of each block in the block combination are determined based on the matrix reference capacity set, and the independent block combinations are subjected to bracket transmission from the capacity overload blocks to the capacity underload blocks, so that the matrix capacity combinations in the blocks are ensured to be within the range of the upper limit and the lower limit of the matrix capacity, and finally a plurality of independent blocks are formed.

According to the technical scheme, the problem of isolated photovoltaic strings can be solved in the transmission of the photovoltaic strings between the target optimization areas through the transmission of the support, and the capacity requirement of the target optimization areas can be met.

On the basis of the above optimization, fig. 2 is a flowchart illustrating an implementation of determining block division as a block group in the area division method of the photovoltaic power station provided in the embodiment of the present disclosure. As shown in fig. 2, the partitioning of the plurality of initial blocks into at least one block group based on the box transform type set and the square matrix reference capacity set may be optimized as the following steps:

s210, establishing a communication network of a plurality of initial blocks, and taking a link containing the most initial blocks in the communication network as a main link.

The initial block on the main link is used as a main node, and the initial block not on the main link is used as a child node.

In an embodiment, the distance between the connected blocks may be the distance penalty between two blocks. And establishing a communication network of the initial blocks among the blocks based on the minimum bracket distance between the blocks and a minimum distance cost method. And finding the link which is connected with the most blocks as a main link, wherein each block on the main link can be defined as a main node, and other blocks are defined as sub-nodes.

Exemplarily, fig. 6 is an exemplary diagram of cost relationships between blocks in the region partitioning method provided in the embodiment of the present disclosure. As shown in fig. 6, the link identification value is the distance cost between two blocks. Based on the cost relationship between blocks in fig. 6 combined with the minimum distance cost method, ase:Sub>A connected network of initial blocks between blocks is established, and ase:Sub>A block connected graph is shown in fig. 7, it can be seen that ase:Sub>A branch connecting the most blocks in the block connected domain is B-ase:Sub>A-F-C-D, the branch serves as ase:Sub>A main link, wherein each block on the main link is defined as ase:Sub>A main node, and other blocks are defined as sub-nodes.

And S220, dividing the plurality of initial blocks into at least one block group along the main link pair based on the box transformer type set and the square matrix reference capacity set.

The method for dividing the plurality of initial blocks into at least one block group along the main link pair based on the box transformer type set and the square matrix reference capacity set may be as follows: traversing the main nodes from any end of the main link, wherein the traversed main nodes and the sub-nodes connected with the traversed main nodes serve as an initial block group; judging whether the initial block group meets a set condition or not based on the box transformer type set and the square matrix reference capacity set; if the initial block group meets the set condition, the block group is taken as a target block group; if the initial block group does not meet the set condition, traversing the next main node, and forming a new initial block group by traversing the main node, the sub-nodes connected with the main node and the initial block group, and returning to execute the step of judging whether the new initial block group meets the following set condition until the main node on the main link is traversed and completed.

Specifically, the master node is traversed from any end of the master link, and the traversed master node and the child nodes connected with the traversed master node are used as an initial block group. Traversing from any end of the main link as a starting point and the other end as an end point, and taking the main node and the child nodes connected with the main node as an initial block group, if the main node does not have the child nodes connected with the main node, the main node and the child nodes connected with the main node are independently taken as an initial block group.

For example, as shown in fig. 7, the most corner block is B or D, optionally, the main link is traversed from the end B as the starting point and D as the end point, B has no child node connected thereto, B is taken as an initial block group alone, a, C, and D are taken as initial block groups alone, and the main node F and the child node E connected thereto are taken as an initial block group.

Specifically, the model number of the box transformer and the reference capacity of the square matrix used in the area are calculated, and the threshold range of the square matrix capacity is obtained according to the volume ratio. Calculating the initial block group of the most corner to judge whether the initial block group meets the set conditions, wherein the set conditions can be as follows: the new set composed of the set of box transformer types used by the block group and the set of box transformer types used by all the remaining blocks is equal to all the sets of box transformer types used, and the set of matrix capacity of the block group and the set of matrix capacity of all the remaining blocks are both in the threshold range. If the initial block group satisfies the set condition, it indicates that the block group can be divided into independent block groups, so that the block group is regarded as the target block group. If the initial block group does not meet the set condition, traversing the next main node, and forming a new initial block group by traversing the main node, the sub-nodes connected with the main node and the initial block group, and returning to execute the step of judging whether the new initial block group meets the following set condition until the main node on the main link is traversed and completed.

In this embodiment, if the initial block group does not satisfy the setting condition, a new initial block group is formed by the next master node, the child nodes connected to the next master node, and the initial block group, and the step of determining whether the new initial block group satisfies the following setting condition is performed again until the master node on the master link is traversed.

For example, taking fig. 7 as an example, optionally, traversing is performed by taking B as an initial block group, whether a new set composed of the set of box-type variables used by the block group B and the set of box-type variables used by all the remaining blocks (including a, F, E, C, and D) is equal to all the set of box-type variables used, and whether the set of square matrix capacity of the block group B and the set of square matrix capacity of all the remaining blocks (including a, F, E, C, and D) are both within a threshold range. If both are satisfied, the B block may be divided into independent block groups, thereby regarding the block as a target block group. If the block B does not meet the set conditions, traversing the block A, forming a new initial block group by the traversed block A and the traversed block B, and returning to the step of judging whether the new initial block group meets the following set conditions or not until the traversal of the main node on the main link is completed.

According to the technical scheme, the initial block group is matched and grouped through the square matrix capacity, so that different blocks cannot form part of the same square matrix, and the completeness of square matrix division can be ensured.

On the basis of the above optimization, as one implementation manner of S210, the embodiment of the present disclosure may optimize a connected network that establishes a plurality of initial blocks to the following steps:

a3 Obtain the actual square matrix capacity of the plurality of initial blocks.

This step is used to obtain the actual matrix capacity of the plurality of initial blocks.

b3 If the actual matrix capacity is smaller than the first set threshold, the initial block is merged into the blocks connected to it.

Wherein the first set threshold is determined by the square matrix reference capacity.

In this embodiment, the first predetermined threshold is a value predetermined based on the square matrix reference capacity, and if the actual square matrix capacity of the initial block is smaller than the first predetermined threshold, the initial block is merged into a block connected to the initial block, and the merged block is used as the target block. For example, the first set threshold may be set to 1/2 of the square matrix reference capacity.

c3 Establish a connected network of merged initial blocks.

In this embodiment, the distance between the connected blocks may be the distance penalty between two blocks. And establishing a communication network of the combined initial blocks among the blocks based on the minimum support distance between the blocks and the minimum distance cost method.

According to the technical scheme, the blocks with small capacity are combined, so that the number of the divided blocks is reduced, and the running speed of the square matrix area during automatic division is increased.

On the basis of the above optimization, the method for determining whether the initial block group satisfies the setting condition based on the box transformer type set and the square matrix reference capacity set in S220 may be optimized as follows:

a4 Obtain a first set of sub-box variant types and a first set of sub-square array capacities for the initial block group, and a second set of sub-box variant types and a second set of sub-square array capacities for the remaining initial blocks.

The method comprises the steps of acquiring a set formed by all box-type transformer types in an initial block group as a first sub-box-type transformer set and a first sub-square array capacity set of all square array capacities, and acquiring a second sub-box-type transformer set and a second sub-square array capacity set of the rest initial blocks;

b4 Determine whether a union of the first set of sub-box-variant types and the second set of sub-box-variant types matches a set of box-variant types for the photovoltaic region.

In this embodiment, the union of the first sub box transformer type set and the second sub box transformer type set is formed by all box transformer types in the two sets of sets without including other box transformer types, and it is determined whether the union is matched with the box transformer type sets of the photovoltaic region one by one, and the matching is considered to be in accordance with the condition.

c4 Determine whether the first sub-square matrix capacity set and the second sub-square matrix capacity set are both within the threshold range corresponding to the square matrix reference capacity set.

Wherein, the threshold range is determined by the reference capacity of the square matrix and the set capacity ratio range.

In this embodiment, the threshold range is determined by the square matrix reference capacity and the set capacity ratio range, the upper limit is the product of the square matrix reference capacity and the set capacity ratio plus the value of the square matrix reference capacity, and the lower limit is the value of the square matrix reference capacity minus the product of the square matrix reference capacity and the set capacity ratio. The threshold range of more than two square matrixes is the sum of the upper limits of all the square matrixes, and the lower limit of the threshold range is the sum of the lower limits of all the square matrixes. And judging whether the first sub-matrix capacity set is in a threshold range corresponding to the matrix reference capacity set or not and whether the second sub-matrix capacity set is in a threshold range corresponding to the matrix reference capacity set or not, and determining that the sub-matrix capacity set meets the condition if the sub-matrix capacity set can be in the corresponding threshold range.

Illustratively, the reference capacity of the square matrix is 1000KW, the floating range of the volume ratio is-0.1, and the threshold range is 900KW-1100KW. The reference capacity 2 of the square matrix is 2000KW, the volume ratio is set to be-0.1, and the threshold range is 1800KW-2200KW. The threshold range of the two square matrixes is 2700-3300 KW.

According to the technical scheme, the initial block group is judged through the square matrix capacity, and part of the same square matrix can not appear in different blocks, so that the judgment is a precondition for re-dividing the subsequent square matrix into the brackets.

On the basis of the above optimization, the embodiment of the present disclosure may optimize a connectivity network that establishes a plurality of initial blocks as follows:

and reallocating the supports in the initial blocks in the block group, so that the actual matrix capacity of the reallocated initial blocks is in the threshold range corresponding to the matrix reference capacity set.

In this embodiment, the square matrix capacity of each initial block in the block group is not matched with the threshold range, and at this time, it can be considered that the same square matrix exists in the two initial blocks in the square matrix of each initial block in the block group, so that the support needs to be reallocated, the actual square matrix capacity of each initial block after reallocation is in the threshold range corresponding to the square matrix reference capacity set, and a part of the same square matrix appearing in different blocks is transferred to one block.

According to the technical scheme, the supports of the initial block group are redistributed through the square matrix capacity, so that a part of the same square matrix appearing in different blocks is transferred to one block, and the completeness of square matrix division can be guaranteed.

As one implementation of S130, the dividing of the plurality of blocks into a plurality of sub-blocks based on the square matrix capacity may be specifically optimized as follows:

a5 The block with the square matrix number larger than the second set threshold is determined as the block to be divided.

In this embodiment, the second predetermined threshold is a predetermined value, and the blocks with the square matrix number greater than the second predetermined threshold are determined as the blocks to be divided.

b5 Divide the block to be divided based on the number of matrixes to obtain a plurality of initial sub-blocks.

In this embodiment, the number of sub-blocks into which the block to be divided is based on the number of matrixes included therein. The maximum value of the number of sub-blocks to be divided may be a value that is rounded down by dividing the square matrix number of the block to be divided by the square root of the number N. Wherein N may be 2 or 3. Optionally, generally taking the maximum value as the number of sub-blocks to be partitioned can ensure that the number of sub-blocks is balanced with the number of square matrixes in the sub-blocks during partitioning. The block division may be a cutting method, an aggregation method, a classification method, a grid method, and the like, which is not limited herein.

An exemplary number of square matrices of a block to be partitioned is 17, the block is partitioned into 4 blocks, and the number of square matrices in each block is 4, 5, respectively.

c5 Obtain capacity-overloaded and capacity-underloaded sub-blocks of the plurality of initial sub-blocks.

In this embodiment, the capacity-overloaded sub-block may be a sub-block whose matrix capacity is greater than the threshold range, and the capacity-underloaded sub-block may be a sub-block whose matrix capacity is less than the threshold range. The method for acquiring the sub-block group of the combination of the capacity overload sub-block and the capacity underrun sub-block is the same as the method for dividing the sub-block group into the block group, and the capacity overload sub-block and the capacity underrun sub-block are acquired in the sub-block group according to the matrix capacity and the threshold range.

d5 The shelf in the capacity-overloaded sub-block is transferred to the capacity-underloaded sub-block to obtain the target sub-block.

In this embodiment, the foregoing sub-blocks are subjected to capacity transfer, and during the transfer, the capacity-overloaded partial bearer is first transmitted to the in-route block, and then the in-route block distinguishes the capacity-overloaded partial bearer and transmits the capacity-underloaded partial bearer to the capacity-underloaded sub-block, so as to obtain the target sub-block with normal capacity.

According to the technical scheme, the support of the initial sub-block group is redistributed through the square matrix capacity, so that a part of the same square matrix appearing in different sub-blocks is transferred to one sub-block, and the completeness of square matrix division can be guaranteed.

On the basis of the optimization, the embodiment of the present disclosure may transfer the support in the capacity-overloaded sub-block to the capacity-underloaded sub-block, and the obtaining of the target sub-block optimization includes the following steps:

d51 To establish a connected network of a plurality of initial sub-blocks.

In this embodiment, the method for establishing the sub-block connectivity network is the same as the method for establishing the block connectivity network described above, and the connectivity domain between sub-blocks is established based on the minimum support distance between sub-blocks and the minimum distance cost method.

d52 The path with the shortest distance from the capacity-overloaded sub-block to the capacity-underloaded sub-block is obtained in the connected network and determined as the transfer path.

Specifically, a path with the shortest distance from the capacity-overloaded sub-block to the capacity-underloaded sub-block is found in the connected network by combining a minimum distance cost method, and the path is determined as a transfer path.

d53 The shelf in the capacity-overloaded sub-block is transferred to the capacity-underloaded sub-block along the transfer path.

Specifically, the rack defined by the capacity-overloaded portion is transferred between two sub-blocks, and the capacity-overloaded portion is loaded into the capacity-underloaded sub-block.

For example, fig. 8 is an exemplary diagram of a sub-block path in the area division method provided by the embodiment of the present disclosure, and taking fig. 8 as an example, if S is a capacity-overload sub-module and F is a capacity-underrun sub-module, a transmission path with the shortest distance from S to F is found, where the transmission path is S-1-F, and a support in S is transferred to F.

On the basis of the optimization, the method for transferring the support in the capacity-overload sub-block to the capacity-underrun sub-block along the transfer path can be optimized as the following steps:

d531 Determine the number of shelves required for the capacity underloaded sub-block.

This step is used to obtain the number of shelves needed for the capacity underloaded sub-blocks.

d532 The rack in the capacity-overloaded sub-block is transferred to the capacity-underloaded sub-block along the transfer path based on the number of racks.

Specifically, there may be blocks in the transfer path between two sub-blocks, and during the transfer, the capacity-overloaded partial bearer is first transferred to the block in the path, and then the capacity-overloaded partial bearer is transferred to the capacity-underloaded sub-block by distinguishing the capacity-overloaded partial bearer from the block in the path.

Illustratively, as shown in fig. 8 as an example, the transmission path of the rack is S-1-F, and the rack with the capacity overload part is first transmitted to 1, and then the rack with the same capacity on the side close to F is selected from 1 to be transmitted to the sub-block F.

In the technical scheme, the situation that the distance between two sub-blocks is too far or the sub-blocks are on the path may occur in the support process, the transmission path is saved in a support sequence mode, and meanwhile, the situation that the sub-blocks are inconvenient to divide is also avoided.

Fig. 9 is a schematic structural diagram of an area dividing apparatus of a photovoltaic power plant according to an embodiment of the present invention, and as shown in fig. 9, the apparatus includes: an area dividing module 310, an obtaining module 320, a block dividing module 330, and a sub-block dividing module 340.

The region dividing module 310 is configured to perform region division on a photovoltaic group string in a photovoltaic power station to obtain a plurality of photovoltaic regions; the photovoltaic region comprises a plurality of photovoltaic string;

an obtaining module 320, configured to obtain, for each photovoltaic area, a box transformer type set and a square matrix reference capacity set of the photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one;

a block division module 330 configured to divide the plurality of photovoltaic regions into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set;

a sub-block dividing module 340 configured to divide the plurality of blocks into a plurality of sub-blocks based on the square matrix capacity.

Further, the region division module 310 may be configured to:

determining a first distance threshold value based on the cable resistivity, the combiner box output current, the tracking control voltage and the voltage drop proportion;

and clustering and dividing the photovoltaic group strings in the photovoltaic power station based on the first distance threshold value to obtain a plurality of photovoltaic regions.

Further, the tile dividing module 330 may be configured to:

clustering and partitioning the photovoltaic region based on a second distance threshold to obtain a plurality of initial blocks;

dividing the plurality of initial blocks into at least one block group based on the box transformer type set and the square matrix reference capacity set; wherein the group of blocks includes one or more of the initial blocks;

and reallocating the supports in the block group based on the matrix reference capacity set to obtain a target block.

Further, the tile dividing module 330 may be configured to:

establishing a connected network of the initial blocks, and taking a link containing the most initial blocks in the connected network as a main link; the initial block on the main link is used as a main node, and the initial block not on the main link is used as a child node;

dividing the plurality of initial blocks into at least one block group along the main link pair based on the box transformer type set and the square matrix reference capacity set.

Further, the tile dividing module 330 may be configured to:

acquiring the actual matrix capacity of the plurality of initial blocks;

if the actual square matrix capacity is smaller than a first set threshold, merging the initial blocks into the blocks connected with the initial blocks; wherein the first set threshold is determined by a square matrix reference capacity;

and establishing a connected network of the merged initial blocks.

Further, the tile dividing module 330 may be configured to:

Further, the sub-block division module 340 may be configured to:

determining the blocks with the square matrix quantity larger than a second set threshold value as blocks to be segmented;

dividing the block to be divided based on the number of the matrixes to obtain a plurality of initial sub-blocks;

acquiring a capacity overload sub-block and a capacity underrun sub-block in the plurality of initial sub-blocks;

and transmitting the support in the capacity overload sub-block to the capacity underload sub-block to obtain a target sub-block.

Further, the sub-block division module 340 may be configured to:

establishing a connected network of the plurality of initial sub-blocks;

acquiring a path with the shortest distance from the capacity overload subblock to the capacity underload subblock in the communication network, and determining the path as a transmission path;

and transferring the support in the capacity overload sub-block to the capacity underrun sub-block along the transfer path.

The device can execute the methods provided by all the embodiments of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.

EXAMPLE III

FIG. 10 illustrates a schematic diagram of an electronic device 10 that may be used to implement embodiments of the present 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. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, 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. 10, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

A number of 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, or the like; 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, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the area division method of a photovoltaic power plant.

In some embodiments, the method of zone division for a photovoltaic power plant may be implemented as a computer program tangibly embodied in 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 ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above described method of area division of a photovoltaic power plant may be performed. Alternatively, in other embodiments, the processor 11 may be configured in any other suitable way (e.g. by means of firmware) to perform the zone division method of the photovoltaic power plant.

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a 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 that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Computer programs for implementing the methods of the present invention can 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 performed. A computer program can execute entirely on a 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.

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) by 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 can 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, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end 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 back-end, 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. A client and server are generally 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 host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for area division of a photovoltaic power plant, comprising:

for each photovoltaic area, acquiring a box transformer type set and a matrix reference capacity set of the photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one;

partitioning the plurality of blocks into a plurality of sub-blocks based on the number of square matrices.

2. The method of claim 1, wherein the area division of the photovoltaic string in the photovoltaic power plant to obtain a plurality of photovoltaic areas comprises:

3. The method of claim 1, wherein partitioning the plurality of photovoltaic zones into a plurality of blocks based on the set of box transformer types and the set of square matrix reference capacities comprises:

and reallocating the supports in the block group based on the square matrix reference capacity set to obtain a target block.

4. The method of claim 3, wherein dividing the plurality of initial blocks into at least one block group based on the set of box transform types and the set of square matrix reference capacities comprises:

establishing a connected network of the initial blocks, and taking a link containing the most initial blocks in the connected network as a main link; the method comprises the following steps that an initial block located on a main link serves as a main node, and an initial block not located on the main link serves as a sub-node;

5. The method of claim 4, wherein establishing a connectivity network for the plurality of initial tiles comprises:

acquiring actual square matrix capacity of the plurality of initial blocks;

and establishing a connected network of the merged initial blocks.

6. The method of claim 3, wherein reallocating the racks in the block set based on the square matrix reference capacity set to obtain a target block comprises:

7. The method of claim 1, wherein partitioning the plurality of blocks into a plurality of sub-blocks based on the square matrix capacity comprises:

acquiring a capacity-overload sub-block and a capacity-underrun sub-block in the plurality of initial sub-blocks;

8. The method of claim 7, wherein transferring the shelf in the capacity-overloaded sub-block to the capacity-underloaded sub-block to obtain a target sub-block comprises:

establishing a connected network of the plurality of initial sub-blocks;

9. An area division device of a photovoltaic power station, characterized by comprising:

the area division module is used for carrying out area division on the photovoltaic group strings in the photovoltaic power station to obtain a plurality of photovoltaic areas; the photovoltaic region comprises a plurality of photovoltaic string;

the acquisition module is used for acquiring a box transformer type set and a matrix reference capacity set of each photovoltaic area; the square matrix reference capacity corresponds to the box transformer type one by one;

a block division module for dividing the photovoltaic areas into a plurality of blocks based on the box transformer type set and the square matrix reference capacity set;

10. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of area division for a photovoltaic power plant of any of claims 1-8.