CN113297712A

CN113297712A - Region division method and device for photovoltaic power station

Info

Publication number: CN113297712A
Application number: CN202110593996.1A
Authority: CN
Inventors: 陈朋朋; 刘宏博; 李凡
Original assignee: Sungrow Renewables Development Co Ltd
Current assignee: Sungrow Renewables Development Co Ltd
Priority date: 2021-05-28
Filing date: 2021-05-28
Publication date: 2021-08-24

Abstract

The invention discloses a method and a device for dividing areas of a photovoltaic power station, wherein the method comprises the steps of carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of primary divided areas, carrying out capacity matching on the plurality of primary divided areas based on the adjacent relation among the primary divided areas and the capacity of a first preset area to obtain a plurality of first optimized areas, processing the plurality of first optimized areas based on the adjacent relation among the first optimized areas, the adjacent relation of photovoltaic group strings and the adjacent relation of blocks to obtain a plurality of second optimized areas, and determining the second optimized areas as target optimized areas when the capacity of all the second optimized areas reaches the capacity of the second preset area. The method and the device divide the areas based on the arrangement information of the photovoltaic power station, so that the photovoltaic strings in the areas are adjacent, the capacity of each area is controllable by carrying out capacity matching on the areas, in addition, the concentration degree of each area is highest while the adjacent strings in the areas are ensured, and the area division efficiency can be improved.

Description

Region division method and device for photovoltaic power station

Technical Field

The invention relates to the technical field of photovoltaic power stations, in particular to a region division method and device of a photovoltaic power station.

Background

At present, before a photovoltaic power station is built, division of a photovoltaic square matrix/convergence area in the photovoltaic power station is still performed by means of manual experience, although a method for dividing the convergence area by using a clustering algorithm is mentioned, the number of cluster points of each cluster obtained by the clustering algorithm is different and cannot be controlled, so that the number of clusters connected by each combiner box is greatly different, if the combiner box is applied to an actual field, the division is mixed and disorderly, the sizes of the combiner boxes are different, the possibility of investment, construction and construction is avoided, especially when a complex concave factory area (namely the peripheral envelope of the photovoltaic factory area is concave), the shape of the photovoltaic square matrix divided by the clustering algorithm is poor, a mountain or a red line area can be crossed, and the cost of low-voltage cable installation hardware is easily increased.

Therefore, the existing method does not meet the requirement of reasonably dividing areas such as a photovoltaic array/confluence area and the like in an actual field.

Disclosure of Invention

In view of the above, the invention discloses a method and a device for dividing areas of a photovoltaic power station, so as to meet the requirement of reasonably dividing areas such as a photovoltaic array/convergence area and the like in an actual field.

A region division method of a photovoltaic power station comprises the following steps:

carrying out region division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of preliminary division regions;

carrying out capacity matching on the plurality of preliminary division areas based on the adjacent relation between the preliminary division areas and the capacity of a first preset area to obtain a plurality of first optimized areas;

processing the plurality of first optimization areas based on the adjacent relation among the first optimization areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks to obtain a plurality of second optimization areas;

and when the capacity of all the second optimization areas reaches the second preset area capacity, determining each second optimization area as a target optimization area.

Optionally, the area division is performed on the photovoltaic power station based on the configuration information of the photovoltaic power station to obtain a plurality of preliminary division areas, which specifically includes:

performing area division on the photovoltaic power station based on the arrangement information to obtain a plurality of original areas;

and processing the original regions to obtain a plurality of preliminary division regions based on the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks.

Optionally, the area division is performed on the photovoltaic power station based on the configuration information of the photovoltaic power station to obtain a plurality of original areas, which specifically includes:

dividing the area of the photovoltaic power station into k x k grid units by taking the minimum abscissa, the minimum ordinate, the maximum abscissa and the maximum ordinate of the area of the photovoltaic power station as starting points and the number of the areas to be divided as parameters, wherein k is determined based on the number of the areas;

determining the number of grids containing photovoltaic string from k x k grid cells;

determining the number of target grids needed by each area in the photovoltaic power station based on the number of grids and the number of the areas needing to be divided;

and combining the adjacent grid units of the target grid number in sequence to obtain the original areas of the area number.

Optionally, the processing the multiple original regions based on the adjacent relation of the photovoltaic string and the adjacent relation of the blocks to obtain multiple preliminary division regions specifically includes:

based on the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, carrying out block division on each original area to obtain a plurality of first blocks;

determining a first block with the largest number of photovoltaic group strings in all the first blocks of each original area as a first main block, and determining blocks except the first main block as first sub-blocks;

and merging a first sub-block which is closest to the first main block in each original area with the first main block to obtain the corresponding preliminary division area.

Optionally, the capacity matching is performed on the plurality of preliminary division regions based on the adjacent relationship between the preliminary division regions and the first preset region capacity to obtain a plurality of first optimized regions, and the method specifically includes:

determining adjacent areas of the preliminary division areas;

determining the primary divided region with the minimum number of the adjacent regions from all the primary divided regions as a region to be processed;

calculating a capacity difference value between the capacity of the area to be processed and the capacity of a first preset area;

and carrying out capacity matching on the area to be processed based on the size relation between the capacity difference value and 0 to obtain a corresponding first optimization area.

Optionally, the determining the adjacent area of each preliminarily divided area specifically includes:

if the shortest distances between the boundary group string points of the primary divided region of the current primary divided region and all the boundary group string points of the primary divided region are greater than a second distance threshold value, determining the primary divided region closest to the current primary divided region as an adjacent region of the current primary divided region;

and if the closest distance between the boundary group string point of the primary divided region of the current primary divided region and all the boundary group string points of the primary divided region is less than the second distance threshold, determining the primary divided region of which the closest distance is less than the second distance threshold as the adjacent region of the current primary divided region.

Optionally, the performing capacity matching on the to-be-processed region based on the size relationship between the capacity difference and 0 to obtain a corresponding first optimized region specifically includes:

if the capacity difference is equal to 0, removing the area to be processed from the whole plant area string unit of the photovoltaic power station, and forming a new plant area string unit;

if the capacity difference is smaller than 0, the first target photovoltaic group string of the adjacent area is divided into the area to be processed again;

and if the capacity difference is larger than 0, the second target photovoltaic group string of the area to be processed is subdivided into the adjacent areas.

Optionally, the processing the multiple first optimization regions based on the adjacent relationship among the first optimization regions, the adjacent relationship among the photovoltaic string strings, and the block adjacent relationship to obtain multiple second optimization regions specifically includes:

exchanging target photovoltaic group strings in different first optimization areas based on the adjacent relation among the first optimization areas to obtain a plurality of local optimization areas;

and processing the local optimization areas to obtain a plurality of second optimization areas based on the photovoltaic group string adjacent relation and the block adjacent relation.

Optionally, the exchanging the target photovoltaic strings in different first optimization regions based on the adjacent relationship between the first optimization regions to obtain a plurality of local optimization regions specifically includes:

based on the adjacent relation between the first optimization areas, calculating the length of the cable from the center point of each first optimization area to the boundary group string point of the corresponding adjacent area, and recording the length as the first cable, and the length of the cable from the center point of each first optimization area to the boundary group string point of the first optimization area, and recording the length as the second cable;

judging whether a third optimized area and a fourth optimized area meeting the requirement of the preset cable length exist in each first optimized area or not based on the length of each first cable and the length of each second cable;

exchanging the photovoltaic string meeting the preset photovoltaic string exchange condition in the third optimization area and the fourth optimization area;

and updating all the first optimization area central points and the cluster string point sets of all the clusters, returning to search again the optimization area combinations meeting the preset cable length requirement until no optimization area combination with the cable length difference larger than 0 in the preset cable length requirement exists, and generating a local optimization area division result with the shortest cable length and the highest concentration degree.

Optionally, the preset cable length requirement includes the following conditions:

the third optimization region is named as a, and the fourth optimization region is named as b;

the cable length from the center point of a to the boundary group of b series point Pb1 is recorded as: m_a-pb1；

The cable length from the b center point to the b boundary group string point Pb1 is recorded as: m_b-pb1；

The length of the cable from the boundary point Pa1 of the group string to the center point of a in a is recorded as M_pa1-a；

The length of the cable from the center point of b to the boundary point Pa1 of the group string in a is recorded as: m_b-pa1；

If M is_a-pb1<M_b-pb1And in a there is M_pa1-a>M_b-pa1The group string boundary point Pa1, determining the combination of a and b which satisfies the maximum difference of the cable lengths;

the expression for the cable length difference Δ M is as follows:

ΔM＝(M_b-pb1+M_pa1-a)-(M_a-pb1+M_b-pa1)。

optionally, the preset photovoltaic string switching condition includes:

when the third optimization area and the fourth optimization area are mutually unique adjacent areas, interchanging the boundary group string points in the third optimization area and the boundary group string points in the fourth optimization subarea b;

when the fourth optimization area and the third optimization area are not mutually unique adjacent areas, the closest distance from the center point of the third optimization area to the boundary group string point of the fourth optimization area is smaller than a third distance threshold, and the closest distance from the center point of the fourth optimization area to the boundary group string point of the third optimization area is smaller than the third distance threshold, the boundary group string point in the third optimization area and the boundary group string point in the fourth optimization area are interchanged.

Optionally, the processing the multiple local optimization regions based on the photovoltaic string adjacent relationship and the block adjacent relationship to obtain multiple second optimization regions specifically includes:

based on the association relation of the photovoltaic group strings and the block proximity relation, carrying out block division on each local optimization area to obtain a plurality of second blocks;

determining a second block with the largest number of photovoltaic group strings in all the second blocks of each local optimization area as a second main block, and determining blocks except the second main block as second sub-blocks;

and combining a second sub-block which is closest to the second main block in each local optimization region with the second main block to obtain a corresponding second optimization region.

Optionally, the method further includes:

determining a second optimization area with the capacity not reaching the capacity of the second preset area as a capacity area to be adjusted;

searching adjacent boundary points between the capacity areas to be adjusted;

and transmitting each adjacent junction point until the capacity of all the second optimization areas reaches the capacity of the second preset area, so as to obtain a plurality of target optimization areas.

An area division apparatus of a photovoltaic power plant, comprising:

the area division unit is used for carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of preliminary division areas;

a capacity matching unit, configured to perform capacity matching on the plurality of preliminary divided regions to obtain a plurality of first optimized regions based on an adjacent relationship between the preliminary divided regions and a first preset region capacity;

the area processing unit is used for processing the first optimization areas to obtain a plurality of second optimization areas based on the adjacent relation among the first optimization areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks;

and the area determining unit is used for determining each second optimization area as a target optimization area when the capacity of all the second optimization areas reaches a second preset area capacity.

Optionally, the area dividing unit specifically includes:

the original region dividing unit is used for dividing the photovoltaic power station into a plurality of original regions based on the arrangement information;

and the area processing subunit is used for processing the original areas to obtain a plurality of preliminary divided areas based on the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks.

Optionally, the area processing unit specifically includes:

the group string switching subunit is configured to switch target photovoltaic group strings in different first optimization regions based on an adjacent relationship between the first optimization regions to obtain a plurality of local optimization regions;

and the local optimization area processing subunit is configured to process the multiple local optimization areas to obtain multiple second optimization areas based on the photovoltaic string adjacency relation and the block adjacency relation.

According to the technical scheme, the invention discloses a method and a device for area division of a photovoltaic power station, the method and the device are used for carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of primary divided areas, capacity matching is carried out on the plurality of primary divided areas based on the adjacent relation among the primary divided areas and the first preset area capacity to obtain a plurality of first optimized areas, the plurality of first optimized areas are processed to obtain a plurality of second optimized areas based on the adjacent relation among the first optimized areas, the adjacent relation of photovoltaic group strings and the block adjacent relation, and when the capacity of all the second optimized areas reaches the second preset area capacity, each second optimized area is determined as a target optimized area. The invention considers the arrangement information of the photovoltaic power station when the photovoltaic power station is primarily divided, thereby the photovoltaic group strings in the primarily divided areas are adjacent, isolated group string points can not appear, the invention has high concentration degree, accords with the actual requirement of the field, the capacity of each area can be controlled by matching the capacity of the areas, in addition, the concentration degree of each area is highest when the adjacent group strings in the areas are ensured, the areas are processed based on the adjacent relation among the areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, and the wiring of each area is shortest and the cost is lowest. The method can realize the division of any one or more areas of the photovoltaic array, the confluence area and the inversion area based on different parameters, and greatly improves the area division efficiency compared with the manual area division.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the disclosed drawings without creative efforts.

Fig. 1 is a flowchart of a method for dividing areas of a photovoltaic power station according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for obtaining a plurality of original areas by performing area division on a photovoltaic power station based on the arrangement information of the photovoltaic power station, disclosed in the embodiment of the present invention;

fig. 3 is a schematic diagram of a photovoltaic power station divided into regions by using a grid method according to an embodiment of the present invention;

fig. 4 is a flowchart of a method for processing a plurality of original regions to obtain a plurality of preliminary regions based on the adjacency relationship of the photovoltaic strings according to the embodiment of the present invention;

fig. 5 is a flowchart of a method for performing capacity matching on a plurality of preliminary divided regions to obtain a plurality of first optimized regions based on the adjacent relationship between the preliminary divided regions and the first preset region capacity, according to an embodiment of the present invention;

fig. 6 is a flowchart of a method for exchanging target pv strings in different first optimization areas to obtain a plurality of local optimization areas based on an adjacent relationship between the first optimization areas, which is disclosed in an embodiment of the present invention;

fig. 7 is a flowchart of a method for processing a plurality of local optimization regions to obtain a plurality of second optimization regions based on a photovoltaic string adjacency relationship and a block adjacency relationship, which are disclosed in an embodiment of the present invention;

FIG. 8 is a flow chart of a method for dividing areas of another photovoltaic power plant according to an embodiment of the present invention;

fig. 9(a) is a schematic diagram of a position of an adjacent boundary point according to an embodiment of the disclosure;

FIG. 9(b) is a schematic diagram illustrating another position of adjacent intersection points according to the disclosure of the present invention;

FIG. 9(c) is a schematic diagram illustrating another position of adjacent intersection points according to the disclosure of the present invention;

FIG. 9(d) is a schematic diagram illustrating another position of adjacent intersection points according to the disclosure of the present invention;

fig. 10 is a schematic diagram illustrating a result of area division of a photovoltaic power station according to an embodiment of the present invention;

FIG. 11 is a diagram illustrating merging of sub-blocks in each region into a main block according to an embodiment of the present disclosure;

fig. 12 is a schematic diagram of capacity matching of each area according to an embodiment of the present invention;

FIG. 13 is a schematic diagram of an optimal cost/highest concentration zone partitioning scheme (including planarization process) according to an embodiment of the present invention;

FIG. 14 is a schematic diagram illustrating a transmitted neighboring intersection according to an embodiment of the present disclosure;

fig. 15 is a schematic structural diagram of an area dividing device of a photovoltaic power station according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The embodiment of the invention discloses a method and a device for dividing areas of a photovoltaic power station, wherein the method comprises the steps of carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of primary divided areas, carrying out capacity matching on the plurality of primary divided areas based on the adjacent relation among the primary divided areas and the first preset area capacity to obtain a plurality of first optimized areas, processing the plurality of first optimized areas based on the adjacent relation among the first optimized areas, the adjacent relation of photovoltaic group strings and the adjacent relation of blocks to obtain a plurality of second optimized areas, and determining each second optimized area as a target optimized area when the capacity of all the second optimized areas reaches the second preset area capacity. The invention considers the arrangement information of the photovoltaic power station when the photovoltaic power station is primarily divided, thereby the photovoltaic group strings in the primarily divided areas are adjacent, isolated group string points can not appear, the invention has high concentration degree, accords with the actual requirement of the field, the capacity of each area can be controlled by matching the capacity of the areas, in addition, the concentration degree of each area is highest when the adjacent group strings in the areas are ensured, the areas are processed based on the adjacent relation among the areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, and the wiring of each area is shortest and the cost is lowest.

In addition, the method can realize the division of any one or more areas of the photovoltaic array, the convergence area and the inversion area based on different parameters, and greatly improves the area division efficiency compared with the manual area division.

Referring to fig. 1, a flowchart of a method for dividing an area of a photovoltaic power plant disclosed in an embodiment of the present invention includes:

s101, carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of preliminary division areas;

specifically, firstly, area division is carried out on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of original areas, and then the original areas are processed to obtain a plurality of primary division areas based on the adjacent relation of photovoltaic group strings and the adjacent relation of blocks.

In practical application, a grid method may be adopted to perform area division on the photovoltaic power station to obtain a plurality of original areas, wherein, in addition to the grid method, other aggregation/blocking algorithms may also be used, for example, a clustering algorithm is adopted to perform area division on the photovoltaic power station to obtain a plurality of original areas.

Step S102, carrying out capacity matching on a plurality of preliminary division areas based on the adjacent relation among the preliminary division areas and the capacity of a first preset area to obtain a plurality of first optimized areas;

step S103, processing the plurality of first optimization areas to obtain a plurality of second optimization areas based on the adjacent relation among the first optimization areas, the adjacent relation of the photovoltaic string and the adjacent relation of the block;

in practical application, a plurality of local optimization regions can be obtained by exchanging target photovoltaic string in different first optimization regions based on the adjacent relationship between the first optimization regions, and then a plurality of second optimization regions can be obtained by processing the local optimization regions based on the adjacent relationship between the photovoltaic string and the block adjacent relationship.

When the local optimization areas are processed, the isolated blocks in each local optimization area are merged into the corresponding main blocks mainly based on the adjacent relation of the photovoltaic string and the adjacent relation of the blocks.

And step S104, when the capacity of all the second optimization areas reaches the capacity of a second preset area, determining each second optimization area as a target optimization area.

Specifically, the regions in the present invention include: photovoltaic square matrix and/or confluence area and/or inversion area.

In summary, the invention discloses a region division method of a photovoltaic power station, which includes the steps of performing region division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of primary divided regions, performing capacity matching on the plurality of primary divided regions based on the adjacent relation between the primary divided regions and the first preset region capacity to obtain a plurality of first optimized regions, processing the plurality of first optimized regions based on the adjacent relation between the first optimized regions, the adjacent relation of photovoltaic group strings and the adjacent relation of blocks to obtain a plurality of second optimized regions, and determining each second optimized region as a target optimized region when the capacity of all the second optimized regions reaches the second preset region capacity. The invention considers the arrangement information of the photovoltaic power station when the photovoltaic power station is primarily divided, thereby the photovoltaic group strings in the primarily divided areas are adjacent, isolated group string points can not appear, the invention has high concentration degree, accords with the actual requirement of the field, the capacity of each area can be controlled by matching the capacity of the areas, in addition, the concentration degree of each area is highest when the adjacent group strings in the areas are ensured, the areas are processed based on the adjacent relation among the areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, and the wiring of each area is shortest and the cost is lowest.

Referring to fig. 2, an embodiment of the present invention discloses a flow chart of a method for obtaining multiple original areas by performing area division on a photovoltaic power station based on arrangement information of the photovoltaic power station, where the method includes:

step S201, taking a minimum horizontal coordinate, a minimum vertical coordinate, a maximum horizontal coordinate and a maximum vertical coordinate of an area where the photovoltaic power station is located as starting points, taking the number of the areas needing to be divided as parameters, and dividing the area where the photovoltaic power station is located into k grid units;

wherein k is determined based on the number of regions and is a positive integer.

In this embodiment, the minimum abscissa, the minimum ordinate, the maximum abscissa, and the maximum ordinate of the area where the photovoltaic power station is located are the arrangement information of the photovoltaic power station.

According to the grid division method, the areas where the photovoltaic power stations are located are divided into grids, so that the photovoltaic strings in the same area are adjacent, and the areas have high concentration.

In detail, as shown in a schematic diagram of the area division of the photovoltaic power station by using the grid method shown in fig. 3, the minimum abscissa, the minimum ordinate, the maximum abscissa and the maximum ordinate of the area where the photovoltaic power station is located are respectively used as four vertices of the rectangular area where the photovoltaic power station is located, and the area where the photovoltaic power station is located is divided into k × k grid units according to the number k _ num of the areas to be divided. If k _ num is prime number, k is2 × k _ num; if k _ num is a non-prime number, k is k _ num.

Step S202, determining the number of grids containing photovoltaic group strings from k × k grid units;

specifically, Grid cells not containing the photovoltaic group strings are removed from k × k Grid cells, and the number N _ Grid _ glo of the remaining grids containing the photovoltaic group strings is counted.

Step S203, determining the number of target grids needed by each area in the photovoltaic power station based on the number of grids and the number of the areas needing to be divided;

the target Grid number N _ Grid _ single is expressed as follows:

N_Grid_single＝floor(N_Grid_glo/k_num)；

in the formula, the floor function is "rounded down", or "rounded down" or "rounded off to zero", that is, the largest integer not greater than x is taken, and unlike "rounding off", the rounding off is the value directly to the left of the nearest desired value on the numerical axis, that is, the largest integer not greater than the desired value.

And step S204, combining the adjacent grid units of the target grid quantity in sequence to obtain the original areas of the area quantity.

In this embodiment, k _ num original regions can be obtained specifically.

Referring to fig. 4, a flowchart of a method for processing a plurality of original regions to obtain a plurality of preliminary regions based on a photovoltaic string adjacency relationship disclosed in an embodiment of the present invention is shown, where the method includes:

step S301, based on the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, carrying out block division on each original area to obtain a plurality of first blocks;

and the distance between adjacent photovoltaic group strings in each first block is smaller than a first distance threshold value.

Specifically, each original area is divided into blocks, and based on the association relationship and the block proximity relationship between the photovoltaic group strings in the original area, the adjacent photovoltaic group strings are divided into the same block, wherein the distance between the adjacent photovoltaic group strings is smaller than a first distance threshold Dist, that is, the distance DIS between the adjacent photovoltaic group strings_(ZCi-ZCj)<Dist, indicating that the pv group string i and the pv group string j are the same block.

Step S302, determining a first block with the largest number of photovoltaic group strings in all the first blocks of each original area as a first main block, and determining blocks except the first main block as first sub-blocks;

after obtaining the block division results of all the original areas, the blocks may be sorted from large to small (or from small to large) according to the number of the strings including the photovoltaic group, the block with the largest number of strings including the photovoltaic group is determined as a first main block, the blocks other than the first main block are determined as first sub-blocks, and all the original areas are cycled to obtain the block division results of all the original areas.

Step S303, merging the first sub-block closest to the first main block in each original region with the first main block to obtain a corresponding preliminary divided region.

Specifically, the closest distance between each sub-block boundary group string point and the first main block boundary group string point in each original region is calculated, the first sub-block closest to the first main block is bound to the first main block in a pair, and the first sub-blocks bound by the first main block are merged into the first main block to obtain a preliminary divided region.

It should be particularly noted that, in the present invention, the first sub-block is merged to the first main block, and the adjacent relationship between the blocks is established to direct the direction of transferring the cluster set, so that the problem that the clustering algorithm is not suitable for the area division of the concave factory floor/concave-convex mixed factory floor can be solved, where the concave factory floor refers to the situation that the peripheral envelope of the photovoltaic factory floor is concave, and the concave-convex mixed factory floor refers to the situation that the peripheral envelope of the photovoltaic factory floor is a mixture of concave and convex.

Referring to fig. 5, a flowchart of a method for performing capacity matching on a plurality of preliminary divided regions to obtain a plurality of first optimized regions based on an adjacent relationship between the preliminary divided regions and a first preset region capacity disclosed in the embodiment of the present invention includes:

step S401, determining adjacent areas of each preliminary division area;

specifically, the shortest distance between the cluster points of the boundary groups of the primary divided regions is calculated;

and if the shortest distances between the boundary group string points of the primary divided region of the current primary divided region and all the boundary group string points of the primary divided region are greater than a second distance threshold value e, determining the primary divided region closest to the current primary divided region as an adjacent region of the current primary divided region.

And if the closest distance between the boundary group string points of the primary divided region of the current primary divided region and all the boundary group string points of the primary divided region is less than the second distance threshold value e, determining the primary divided region with the closest distance less than the second distance threshold value e as the adjacent region of the current primary divided region.

The initial zone boundary group dividing cluster points are as follows: the outermost boundary of the preliminarily divided region is grouped into cluster points. The peripheral boundary string is updated each time the set of string points is passed or swapped.

Step S402, determining the preliminary division area with the minimum number of the adjacent areas from all the preliminary division areas as an area to be processed;

and finding the preliminary division area with the minimum number of adjacent areas. And if a plurality of primary division areas with the same and least adjacent areas exist, sorting according to any index of the center of the primary division areas, the minimum horizontal coordinate of the boundary group serial point, the maximum horizontal coordinate of the boundary group serial point, the minimum vertical coordinate of the boundary group serial point and the maximum horizontal coordinate of the boundary group serial point.

The number of adjacent areas is small, which indicates that the preliminarily divided area is a corner square matrix; on the contrary, the larger the number of the adjacent regions, the larger the preliminary region is.

Step S403, calculating a capacity difference value between the capacity of the area to be processed and the capacity of a first preset area;

and S404, carrying out capacity matching on the area to be processed based on the size relation between the capacity difference value and 0 to obtain a corresponding first optimization area.

Specifically, if the capacity difference deltaP is 0, it indicates that the area to be processed is in a capacity saturation state, and at this time, the area to be processed is removed from the whole plant area group string unit of the photovoltaic power station, and a new plant area group string unit is formed.

If deltaP is less than 0, the first target photovoltaic group strings of the adjacent areas are re-divided into areas to be processed, specifically: calculating the distance between the center of the region to be processed and the boundary group string point of the adjacent region, recording the distance as a first distance Dis1, calculating the distance difference (Dis1-Dis2) between the center of the adjacent region and the boundary group string point of the adjacent region, recording the distance difference as a second distance Dis2, calculating the distance difference between the first distance and the second distance, recording the distance difference as a first distance difference, recording the photovoltaic group string at the boundary group string point of the adjacent region corresponding to the minimum first distance difference as a first target photovoltaic group string, re-dividing the photovoltaic group string to the region to be processed, and repeating the steps until the deltaP is equal to 0 to determine that the capacity matching of the region to be processed is completed, and obtaining a first optimized region corresponding to the region to be processed.

If deltaP is greater than 0, the second target photovoltaic group string of the region to be processed is subdivided into adjacent regions, specifically: calculating the distance between the center of the region to be processed and the boundary group string point of the region to be processed, recording the distance as a third distance Dis3, the distance between the adjacent region and the boundary group string point of the region to be processed, recording the distance as a fourth distance Dis4, calculating the distance difference (Dis4-Dis3) between the fourth distance and the third distance, recording the distance difference as a second distance difference, determining the boundary group string point of the region to be processed corresponding to the minimum second distance difference and the number of the corresponding adjacent region, recording the photovoltaic group string at the boundary group string point of the region to be processed as a second target photovoltaic group string, re-dividing the photovoltaic group string to be processed into the adjacent regions corresponding to the numbers of the adjacent regions, and repeating the steps until the deltaP is 0 to determine that the capacity matching of the region to be processed is completed, thereby obtaining a first optimized region corresponding to the region to be processed.

And circularly executing the step S401 to the step S404 to obtain a first optimization area corresponding to each preliminary division area.

In summary, the capacity matching is carried out by taking the preliminary division area with the minimum number of adjacent areas as a starting point, namely, the edge square matrix is extruded towards the middle, the edge square matrix preferentially meets the capacity requirement, and the middle square matrix finally meets the capacity requirement, so that the effectiveness of the transmission of the photovoltaic group string point set is ensured.

Referring to fig. 6, a flowchart of a method for exchanging target pv strings in different first optimization regions to obtain a plurality of local optimization regions based on an adjacent relationship between the first optimization regions disclosed in the embodiment of the present invention includes:

step S501, calculating the length of a cable from the center point of each first optimization area to the boundary group string point of the corresponding adjacent area based on the adjacent relation among the first optimization areas, and recording the length as a first cable, and the length of the cable from the center point of each first optimization area to the boundary group string point of the first optimization area is recorded as a second cable;

since the longer the cable length is, the higher the cable cost is, in practical application, the cable length in this embodiment may also be the cable cost.

Step S502, judging whether a third optimized area and a fourth optimized area meeting the requirement of the preset cable length exist in each first optimized area or not based on the length of each first cable and the length of each second cable;

specifically, the third optimization region is named as a, and the fourth optimization region is named as b:

the preset cable length requirements include the following conditions:

b center point to b boundary group string pointThe cable length of Pb1 is noted as: m_b-pb1；

the expression for the cable length difference Δ M is as follows:

ΔM＝(M_b-pb1+M_pa1-a)-(M_a-pb1+M_b-pa1)；

step S503, exchanging the photovoltaic group strings meeting the preset photovoltaic group string exchange conditions in the third optimization area and the fourth optimization area;

specifically, judging whether the third optimization area a and the fourth optimization area b are mutually unique adjacent areas, if so, executing (1), and if not, executing (2);

(1) when the third optimized region a and the fourth optimized region b are only adjacent regions to each other, the boundary group string point Pa1 in the third optimized region a and the boundary group string point Pb1 in the fourth optimized region b are interchanged, so that the boundary group string point Pa1 belongs to the fourth optimized region b and the boundary group string point Pb1 belongs to the third optimized region a.

The third optimization area a and the fourth optimization area b are only adjacent areas, and the following steps are included: the third optimization area a is adjacent to the fourth optimization area b only, and meanwhile, the fourth optimization area b is adjacent to the third optimization area a only.

(2) When the fourth optimized area b and the third optimized area a are not mutually unique adjacent areas, and the nearest distance Dmin from the center point of the third optimized area a to the boundary group string point of the fourth optimized area b_a-bound(b)<A third distance threshold e, and a minimum distance Dmin from a center point of the fourth optimized region b to a cluster point of the boundary group of the third optimized region a_b-bound(a)<A third distance threshold e, the boundary group serial point Pa1 in the third optimization area a and the third distance threshold eThe border group string points Pb1 in the fourth optimized region b are interchanged, so that the border group string point Pa1 belongs to the fourth optimized region b, and the border group string point Pb1 belongs to the third optimized region a.

If Dmin is_a-bound(b)>Third distance threshold e or Dmin_b-bound(a)>And e, the third distance threshold value e, the third optimization area a and the fourth optimization area b do not exchange the boundary group string point Pa1 with the boundary group string point Pb1, and the next point set pair distance calculation is carried out.

And S504, updating all the first optimization area central points and the cluster set point sets of each cluster, and returning to the S502 until no optimization area combination with the cable length difference larger than 0 in the preset cable length requirement exists, and generating a local optimization area division result with the shortest cable length and the highest concentration degree.

After step S503 is executed, all the first optimization area center points and the group string point sets of each cluster are updated, and step S502 to step S503 are looped until there is no first optimization area combination with Δ M > 0.

In this embodiment, the row and column of the clamped string and only one or more photovoltaic string in one row are merged into the adjacent region for processing, so as to realize region planarization.

Wherein, if the group string a belongs to the first area, and the group string B and the group string C which are in the same column or the same row as the clipped group string a and are both adjacent to the clipped group string a belong to the second area, the group string a is a clipped group string.

Referring to fig. 7, a flowchart of a method for processing a plurality of local optimization regions to obtain a plurality of second optimization regions based on a photovoltaic string adjacency relation and a block adjacency relation, disclosed in an embodiment of the present invention, includes:

step S601, based on the association relation of the photovoltaic string and the block proximity relation, performing block division on each local optimization area to obtain a plurality of second blocks;

and the distance between the adjacent photovoltaic group strings in each second block is smaller than a fourth distance threshold value.

Specifically, each initial division area is divided into blocks, and based on the association relationship and the block proximity relationship between the photovoltaic group strings in the initial division area, the adjacent photovoltaic group strings are divided into the same block, wherein the distance between the adjacent photovoltaic group strings is smaller than a fourth distance threshold value DIST (ZCi-ZCj) < DIST, which indicates that the photovoltaic group string i and the photovoltaic group string j are the same block.

Step S602, determining a second block with the largest number of pv strings in all the second blocks of each local optimization area as a second main block, and determining blocks other than the second main block as second sub-blocks;

after obtaining the block division results of all the initial division areas, the blocks may be sorted from large to small (or from small to large) according to the number of the pv strings, the block with the largest number of the pv strings is determined as the second main block, the blocks other than the second main block are determined as the second sub-blocks, and all the initial division areas are cycled to obtain the block division results of all the initial division areas.

Step S603, merging the second sub-block closest to the second main block in each local optimization region with the second main block to obtain a corresponding second optimization region in the second main block.

Specifically, the shortest distance between each sub-block boundary group string point and the second main block boundary group string point in each local optimization region is calculated, the second sub-block with the shortest distance and the second main block are bound into a pair, and the second sub-blocks bound by the second main block are merged into the second main block to obtain a second optimization region.

When there is a second optimized region with a capacity that does not reach the second preset region capacity in all the second optimized regions, referring to fig. 8, a flowchart of a region division method of another photovoltaic power station disclosed in the embodiment of the present invention may further include, after step S103, on the basis of the embodiment shown in fig. 1:

step S105, determining a second optimization area with the capacity not reaching the capacity of the second preset area as an area with the capacity to be adjusted;

s106, searching adjacent boundary points among the capacity areas to be adjusted;

the method specifically comprises the following steps: 1) carry out ranks division to photovoltaic group cluster, specifically include: the vertical coordinate floating value of the photovoltaic string in the same row is within a first threshold value delta _ y _ row, and the horizontal coordinate between adjacent photovoltaic strings does not exceed a second threshold value delta _ x _ row; the transverse coordinates of the photovoltaic string in the same column float within the third threshold value delta _ x _ col, and the longitudinal coordinates between the adjacent photovoltaic strings do not exceed the fourth threshold value delta _ y _ col.

2) Finding out adjacent boundary points between the capacity areas to be adjusted specifically comprises: based on the row-column division result, a target point satisfying any one of the types shown in fig. 9(a), 9(b), 9(c) and 9(d) exists in the same row as an adjacent boundary point between the capacity regions to be adjusted.

In fig. 9(a) to 9(d), a square and a circle are two different capacity regions to be adjusted, and the square in the schematic diagram is an adjacent boundary point of the capacity regions to be adjusted.

In fig. 9(a), the right side and the lower side of the same row of target points (squares) are another group of capacity regions to be adjusted;

in fig. 9(b), the right side and the upper side of the same target point (square) are another capacity region group string to be adjusted;

in fig. 9(c), the left side and the lower side of the same row of target points (squares) are another group of capacity regions to be adjusted;

in fig. 9(d), the left side and the upper side of the target point (square) in the same row are another series of capacity regions to be adjusted.

And step S107, transmitting the adjacent boundary points until the capacity of all the second optimization areas reaches the capacity of the second preset area, so as to obtain a plurality of target optimization areas.

In summary, the invention can ensure that the problem of isolated photovoltaic strings does not occur in the photovoltaic string transfer between the target optimization areas by finding out the adjacent junction points, and can also ensure the capacity requirement of the target optimization areas.

It should be particularly noted that, in practical applications, the area division method of the photovoltaic power station disclosed by the present invention may be adopted to divide the convergence area of the photovoltaic power station, and then the photovoltaic square matrix is divided by the present invention.

The purpose of the distance calculation by adopting the multiple boundary points is to reduce the calculation amount, and in practical application, all point sets in the photovoltaic square matrix can be used for calculating the distance.

In order to facilitate understanding of the working principle of the disclosed region division method of the photovoltaic power station, the invention also provides a specific embodiment, which is as follows:

carrying out region division on the photovoltaic power station by adopting a grid method shown in FIG. 3 to obtain a region division result of the photovoltaic power station shown in FIG. 10; merging the sub-blocks in each region into the main block to obtain fig. 11; carrying out capacity matching on each area to obtain a graph 12, and ensuring that the photovoltaic strings in the area are adjacent and have high concentration; the optimal cost/highest concentration zone partitioning scheme (including the planarization process) is shown in FIG. 13; as shown in fig. 14, by performing adjacent intersection transfer, the capacity requirement of each area is satisfied.

Corresponding to the embodiment of the method, the invention also discloses a region division device of the photovoltaic power station.

Referring to fig. 15, a schematic structural diagram of an area dividing apparatus of a photovoltaic power plant disclosed in an embodiment of the present invention includes:

the area dividing unit 701 is used for carrying out area division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of preliminary divided areas;

the region dividing unit 701 may specifically include:

A capacity matching unit 702, configured to perform capacity matching on the plurality of preliminary divided areas to obtain a plurality of first optimized areas based on a first preset area capacity and an adjacent relationship between the preliminary divided areas;

the area processing unit 703 is configured to process the multiple first optimization areas to obtain multiple second optimization areas based on an adjacent relationship among the first optimization areas, an adjacent relationship among photovoltaic strings, and a block adjacent relationship;

an area determining unit 704, configured to determine each second optimization area as a target optimization area when the capacities of all the second optimization areas reach a second preset area capacity.

In summary, the invention discloses a region dividing device of a photovoltaic power station, which is used for performing region division on the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of primary divided regions, performing capacity matching on the plurality of primary divided regions based on the adjacent relation between the primary divided regions and the first preset region capacity to obtain a plurality of first optimized regions, processing the plurality of first optimized regions based on the adjacent relation between the first optimized regions, the adjacent relation of photovoltaic group strings and the adjacent relation of blocks to obtain a plurality of second optimized regions, and determining each second optimized region as a target optimized region when the capacity of all the second optimized regions reaches the second preset region capacity. The invention considers the arrangement information of the photovoltaic power station when the photovoltaic power station is primarily divided, thereby the photovoltaic group strings in the primarily divided areas are adjacent, isolated group string points can not appear, the invention has high concentration degree, accords with the actual requirement of the field, the capacity of each area can be controlled by matching the capacity of the areas, in addition, the concentration degree of each area is highest when the adjacent group strings in the areas are ensured, the areas are processed based on the adjacent relation among the areas, the adjacent relation of the photovoltaic group strings and the adjacent relation of the blocks, and the wiring of each area is shortest and the cost is lowest.

In the above embodiment, the original region partition molecular unit may specifically be used to:

In the foregoing embodiment, the area processing subunit may specifically be configured to:

To further optimize the above embodiment, the capacity matching unit 702 may specifically include:

an adjacent region determining subunit, configured to determine an adjacent region of each of the preliminary divided regions;

a to-be-processed region determining subunit, configured to determine, from all the preliminary divided regions, a preliminary divided region with the smallest number of the adjacent regions as a to-be-processed region;

the capacity difference calculating subunit is used for calculating a capacity difference between the capacity of the area to be processed and the capacity of a first preset area;

and the capacity matching subunit is used for performing capacity matching on the to-be-processed area based on the size relationship between the capacity difference value and 0 to obtain a corresponding first optimization area.

Wherein the adjacent area determination subunit is specifically configured to:

Wherein the capacity matching subunit may specifically be configured to:

To further optimize the above embodiment, the area processing unit 703 may specifically include:

Wherein the group string exchange subunit may be specifically configured to:

The local optimization region processing subunit may be specifically configured to:

To further optimize the above embodiment, the region dividing apparatus may further include:

a capacity adjustment area determining unit, configured to determine a second optimization area, of which the capacity does not reach the capacity of the second preset area, as a capacity area to be adjusted;

the searching unit is used for searching adjacent junction points among the capacity areas to be adjusted;

and the transmission unit is used for transmitting each adjacent junction point until the capacity of all the second optimization areas reaches the capacity of the second preset area, so that a plurality of target optimization areas are obtained.

It should be noted that, for the specific working principle of each component in the device embodiment, please refer to the corresponding part of the method embodiment, which is not described herein again.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

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

2. The area division method according to claim 1, wherein the area division of the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of preliminary division areas specifically comprises:

3. The area division method according to claim 2, wherein the area division of the photovoltaic power station based on the arrangement information of the photovoltaic power station to obtain a plurality of original areas specifically comprises:

4. The region division method according to claim 2, wherein the processing the plurality of original regions based on the adjacency relationship of the pv strings and the neighborhood relationship of the blocks to obtain a plurality of preliminary divided regions specifically comprises:

5. The region division method according to claim 1, wherein the performing capacity matching on the plurality of preliminarily divided regions based on an adjacent relationship between the preliminarily divided regions and a first preset region capacity to obtain a plurality of first optimized regions specifically comprises:

determining adjacent areas of the preliminary division areas;

6. The region division method according to claim 5, wherein said determining the neighboring region of each of the preliminary division regions specifically comprises:

7. The method for dividing regions according to claim 5, wherein the performing, based on the size relationship between the capacity difference and 0, capacity matching on the region to be processed to obtain a corresponding first optimized region specifically comprises:

8. The region division method according to claim 1, wherein the processing the plurality of first optimization regions based on the adjacent relationship among the first optimization regions, the adjacent relationship among the photovoltaic string, and the block adjacent relationship to obtain a plurality of second optimization regions specifically comprises:

9. The region division method according to claim 8, wherein the exchanging target pv strings in different first optimization regions based on the adjacent relationship between the first optimization regions to obtain a plurality of local optimization regions specifically comprises:

10. The zone division method of claim 9, wherein said preset cable length requirements include the following conditions:

the expression for the cable length difference Δ M is as follows:

ΔM＝(M_b-pb1+M_pa1-a)-(M_a-pb1+M_b-pa1)。

11. the zone division method according to claim 9, wherein the preset pv string swapping condition comprises:

12. The region division method according to claim 8, wherein the processing the plurality of local optimization regions based on the photovoltaic string adjacency relationship and the block adjacency relationship to obtain the plurality of second optimization regions specifically comprises:

13. The region dividing method according to claim 1, further comprising:

searching adjacent boundary points between the capacity areas to be adjusted;

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

15. The area division apparatus according to claim 14, wherein the area division unit specifically includes:

16. The area division apparatus according to claim 14, wherein the area processing unit specifically includes: