CN116896113A - Converging dividing method, device, equipment and medium for photovoltaic module - Google Patents
Converging dividing method, device, equipment and medium for photovoltaic module Download PDFInfo
- Publication number
- CN116896113A CN116896113A CN202310913888.7A CN202310913888A CN116896113A CN 116896113 A CN116896113 A CN 116896113A CN 202310913888 A CN202310913888 A CN 202310913888A CN 116896113 A CN116896113 A CN 116896113A
- Authority
- CN
- China
- Prior art keywords
- dividing
- group
- inverter
- division
- grid
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000005192 partition Methods 0.000 claims description 43
- 238000012163 sequencing technique Methods 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 19
- 238000000638 solvent extraction Methods 0.000 claims description 15
- 238000010586 diagram Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 101100397044 Xenopus laevis invs-a gene Proteins 0.000 description 3
- 210000001357 hemopoietic progenitor cell Anatomy 0.000 description 3
- 238000001167 microscope projection photolithography Methods 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 101100397045 Xenopus laevis invs-b gene Proteins 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/30—Electrical components
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/30—Electrical components
- H02S40/32—Electrical components comprising DC/AC inverter means associated with the PV module itself, e.g. AC modules
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- H02J2300/26—The renewable source being solar energy of photovoltaic origin involving maximum power point tracking control for photovoltaic sources
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Power Engineering (AREA)
- Photovoltaic Devices (AREA)
Abstract
The application discloses a confluence dividing method, device, equipment and medium for a photovoltaic module, and belongs to the technical field of confluence dividing. Firstly, carrying out cluster division and sorting on a photovoltaic module to obtain a plurality of sorted cluster division areas, wherein each cluster division area comprises a plurality of sorted group strings; and then, sequentially carrying out grid-connected point division on the group strings corresponding to the clustering division areas to obtain a grid-connected point division result, and sequentially carrying out inverter division on the group strings corresponding to the grid-connected points to obtain an inverter division result. Therefore, compared with the manual design of the confluence dividing scheme, the confluence dividing result of the photovoltaic module can be determined efficiently and accurately.
Description
Technical Field
The present application relates to the technical field of bus dividing, and in particular, to a bus dividing method for a photovoltaic module, a bus dividing device for a photovoltaic module, and a computer readable storage medium.
Background
Currently, in performing the bus bar division of the photovoltaic module, a designer is required to empirically complete the work of the bus bar division. However, uneven experience and horizontal dispersion of designers can lead to inconsistent dividing results of the photovoltaic modules, uneven selection of the inverter, and serious consequences of increased bus dividing cost of the photovoltaic modules due to extremely large length difference of the required bus wires. That is, when the confluence division scheme is manually implemented, on one hand, the design efficiency is extremely low, and on the other hand, the division result is inaccurate and the cost is high.
Disclosure of Invention
The application mainly aims to provide a confluence dividing method and device for a photovoltaic module, confluence dividing equipment for the photovoltaic module and a computer readable storage medium, and aims to solve the technical problem that a confluence dividing scheme of the photovoltaic module is difficult to determine efficiently and accurately.
In order to achieve the above object, the present application provides a bus dividing method of a photovoltaic module, the method comprising:
determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
sequentially performing grid-connected point division based on the group strings corresponding to the cluster division areas, and determining grid-connected point division results corresponding to the cluster division results;
and sequentially carrying out inverter division based on the group strings corresponding to the grid connection points, and determining an inverter division result corresponding to the cluster division result.
Illustratively, the step of determining the clustering division result of the photovoltaic module includes:
stringing the photovoltaic module, determining a string to which the photovoltaic module belongs and determining a string center point of the string;
And carrying out cluster division based on the group string central points to obtain a cluster division result.
Exemplary, after the step of performing cluster division based on the group string center point to obtain a cluster division result, the method includes:
and carrying out external sequencing on the clustering dividing result, and carrying out internal sequencing on the group of strings corresponding to the clustering dividing result.
The step of determining the grid-connected point division result corresponding to the cluster division result includes:
traversing the clustering partition area based on the sequencing direction of the clustering partition area, and traversing the group strings corresponding to the clustering partition area based on the sequencing direction of the group strings;
and dividing the grid-connected points based on the traversed group of strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
Illustratively, the step of dividing the parallel dots based on the traversed group of strings includes:
determining the photovoltaic capacity of the traversed group of strings not divided into grid-connected points;
if the photovoltaic capacity is larger than the preset grid-connected point capacity upper limit, dividing the group strings before the group strings with the photovoltaic capacity larger than the preset grid-connected point capacity upper limit into the same grid-connected point, and dividing the rest group strings which are not divided into grid-connected points finally into the same grid-connected point after traversing the group strings.
The step of determining the inverter division result corresponding to the cluster division result includes:
traversing the group strings corresponding to the grid-connected points based on the ordering direction of the group strings;
and dividing the inverter based on the traversed group of strings to obtain an inverter dividing result corresponding to the clustering dividing result.
The step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters includes:
determining the superposition power and the required MPPT quantity of the traversed group strings which are not divided into the inverters, and determining the rated power and the first MPPT quantity corresponding to the first inverter;
and if the superposition power is larger than the rated power and the required MPPT number is larger than the first MPPT number, dividing the group strings before the group strings with the superposition power larger than the rated power and the required MPPT number larger than the first MPPT number into the same first inverter until the group strings are traversed, and dividing the rest group strings which are not divided into the first inverter into the next group network points until the first inverter is divided.
The step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters includes:
determining a second MPPT number corresponding to a second inverter, wherein rated power corresponding to the second inverter is smaller than rated power corresponding to the first inverter;
and if the number of the MPPT needed by the residual group strings which are not divided into the inverters in the last grid-connected point is not greater than the second MPPT number, dividing the residual group strings which are not divided into the inverters in the last grid-connected point into the same second inverter.
Illustratively, after the step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters, the method includes:
and determining a string division result corresponding to the MPPT number under each inverter corresponding to the inverter division result.
The application also provides a confluence dividing device of the photovoltaic module, which comprises:
the cluster division module is used for determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
The grid-connected point dividing module is used for sequentially carrying out grid-connected point dividing on the basis of the group strings corresponding to the clustering dividing areas and determining grid-connected point dividing results corresponding to the clustering dividing results;
and the inverter dividing module is used for sequentially dividing the inverters based on the group strings corresponding to the grid connection points and determining inverter dividing results corresponding to the clustering dividing results.
The application also provides a confluence dividing device of the photovoltaic module, which comprises: the photovoltaic module comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program is executed by the processor to realize the steps of the confluence dividing method of the photovoltaic module.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the bus bar dividing method of a photovoltaic module as described above.
The embodiment of the application provides a converging dividing method and a converging dividing device of a photovoltaic module, converging dividing equipment of the photovoltaic module and a computer readable storage medium, and a clustering dividing result of the photovoltaic module is determined, wherein the clustering dividing result comprises a plurality of ordered clustering dividing areas, and the clustering dividing areas comprise a plurality of ordered group strings; sequentially performing grid-connected point division based on the group strings corresponding to the cluster division areas, and determining grid-connected point division results corresponding to the cluster division results; and sequentially carrying out inverter division based on the group strings corresponding to the grid connection points, and determining an inverter division result corresponding to the cluster division result.
Firstly, carrying out cluster division and sorting on a photovoltaic module to obtain a plurality of sorted cluster division areas, wherein each cluster division area comprises a plurality of sorted group strings; and then, sequentially carrying out grid-connected point division on the group strings corresponding to the clustering division areas to obtain a grid-connected point division result, and sequentially carrying out inverter division on the group strings corresponding to the grid-connected points to obtain an inverter division result. Therefore, compared with the manual design of the confluence dividing scheme, the confluence dividing result of the photovoltaic module can be determined efficiently and accurately.
Drawings
FIG. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an embodiment of a method for converging and dividing a photovoltaic module according to an embodiment of the present application;
fig. 3 is a schematic diagram of a string of an embodiment of a method for bus dividing a photovoltaic module according to an embodiment of the present application;
fig. 4 is a schematic diagram of a string center point of an embodiment of a method for bus dividing a photovoltaic module according to an embodiment of the present application;
fig. 5 is a schematic view of an obstacle of an embodiment of a bus dividing method of a photovoltaic module according to an embodiment of the present application;
Fig. 6 is a schematic diagram of a cluster division area of an embodiment of a method for converging and dividing a photovoltaic module according to an embodiment of the present application;
fig. 7 is an application schematic diagram of an embodiment of a bus dividing method of a photovoltaic module according to an embodiment of the present application;
fig. 8 is a schematic diagram of a busbar splitting device for a photovoltaic module according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Referring to fig. 1, fig. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the operation device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting of the operating device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a data storage module, a network communication module, a user interface module, and a computer program may be included in the memory 1005 as one type of storage medium.
In the operating device shown in fig. 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001, the memory 1005 in the operation device of the present application may be provided in an operation device that calls a computer program stored in the memory 1005 through the processor 1001 and performs the following operations:
determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
sequentially performing grid-connected point division based on the group strings corresponding to the cluster division areas, and determining grid-connected point division results corresponding to the cluster division results;
And sequentially carrying out inverter division based on the group strings corresponding to the grid connection points, and determining an inverter division result corresponding to the cluster division result.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of determining the clustering division result of the photovoltaic module comprises the following steps:
stringing the photovoltaic module, determining a string to which the photovoltaic module belongs and determining a string center point of the string;
and carrying out cluster division based on the group string central points to obtain a cluster division result.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
after the step of clustering based on the group string center points to obtain a clustering result, the method comprises the following steps:
and carrying out external sequencing on the clustering dividing result, and carrying out internal sequencing on the group of strings corresponding to the clustering dividing result.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of sequentially performing parallel dot division based on the group strings corresponding to the cluster division areas and determining a grid-connected dot division result corresponding to the cluster division result comprises the following steps:
Traversing the clustering partition area based on the sequencing direction of the clustering partition area, and traversing the group strings corresponding to the clustering partition area based on the sequencing direction of the group strings;
and dividing the grid-connected points based on the traversed group of strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of dividing the parallel network points based on the traversed group strings comprises the following steps:
determining the photovoltaic capacity of the traversed group of strings not divided into grid-connected points;
if the photovoltaic capacity is larger than the preset grid-connected point capacity upper limit, dividing the group strings before the group strings with the photovoltaic capacity larger than the preset grid-connected point capacity upper limit into the same grid-connected point, and dividing the rest group strings which are not divided into grid-connected points finally into the same grid-connected point after traversing the group strings.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of sequentially performing inverter division based on the group strings corresponding to the grid-connected points and determining the inverter division result corresponding to the cluster division result comprises the following steps:
Traversing the group strings corresponding to the grid-connected points based on the ordering direction of the group strings;
and dividing the inverter based on the traversed group of strings to obtain an inverter dividing result corresponding to the clustering dividing result.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of obtaining the inverter dividing result corresponding to the cluster dividing result based on the traversed group of string dividing inverters comprises the following steps:
determining the superposition power and the required MPPT quantity of the traversed group strings which are not divided into the inverters, and determining the rated power and the first MPPT quantity corresponding to the first inverter;
and if the superposition power is larger than the rated power and the required MPPT number is larger than the first MPPT number, dividing the group strings before the group strings with the superposition power larger than the rated power and the required MPPT number larger than the first MPPT number into the same first inverter until the group strings are traversed, and dividing the rest group strings which are not divided into the first inverter into the next group network points until the first inverter is divided.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of obtaining the inverter dividing result corresponding to the cluster dividing result based on the traversed group of string dividing inverters comprises the following steps:
determining a second MPPT number corresponding to a second inverter, wherein rated power corresponding to the second inverter is smaller than rated power corresponding to the first inverter;
and if the number of the MPPT needed by the residual group strings which are not divided into the inverters in the last grid-connected point is not greater than the second MPPT number, dividing the residual group strings which are not divided into the inverters in the last grid-connected point into the same second inverter.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
after the step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters, the method comprises the following steps:
and determining a string division result corresponding to the MPPT number under each inverter corresponding to the inverter division result.
An embodiment of the present application provides a method for dividing a photovoltaic module into bus bars, referring to fig. 2, in an embodiment of the method for dividing a photovoltaic module into bus bars, the method includes:
step S10, determining a clustering division result of the photovoltaic module, wherein the clustering division result comprises a plurality of ordered clustering division areas, and the clustering division areas comprise a plurality of ordered group strings.
Illustratively, the step of determining the clustering division result of the photovoltaic module includes:
stringing the photovoltaic module, determining a string to which the photovoltaic module belongs and determining a string center point of the string;
and carrying out cluster division based on the group string central points to obtain a cluster division result.
A complete string is obtained in which each component has been strung up, as shown in fig. 3.
And determining the coordinates of each block of the complete string to obtain a set of string central points, wherein the string central points are central points obtained according to the component coordinate abstraction of the component string (the string is abstracted to be the central point), so that the subsequent clustering partition based on the string central points is facilitated, the central points represent the strings, and the clustering partition of the strings is realized.
In an embodiment, the component type of each block of components of the complete string is further determined for subsequent determination of the power of each block of components based on the component type.
After all the group string central points of the area to be planned are determined, clustering division can be carried out according to all the group string central points to obtain a clustering division result, namely a plurality of clustering division areas, wherein each clustering division area comprises a plurality of group string central points, namely a plurality of group strings. In the present embodiment, the method of cluster division is not limited.
In an embodiment, the area to be planned often has obstacles, so that the obstacles also need to be avoided. In addition to determining all the set of cluster center points of the area to be planned, it is also necessary to determine all the obstacle shadow areas of the area to be planned, where the obstacle shadow areas refer to the areas where the obstacles and the obstacle shadows and contours are located. In this embodiment, the method for removing the avoidance obstacle is not limited, and the obstacle may be removed after the string is laid, as shown in fig. 5, or the obstacle may be removed before the string is laid. And then clustering the group string center points with the barriers removed to obtain a clustering result which is more accurate and accords with the actual scene and is shown in fig. 6, wherein each color or each shape represents a region partitioning result.
Exemplary, after the step of performing cluster division based on the group string center point to obtain a cluster division result, the method includes:
and carrying out external sequencing on the clustering dividing result, and carrying out internal sequencing on the group of strings corresponding to the clustering dividing result.
After the clustering result is obtained, the clustering result, namely the clustering region is subjected to external sequencing, so that the automatic execution direction and the sequencing order of the clustering region needed in the subsequent step can be obtained.
In the present embodiment, the method of externally sorting the cluster division results is not limited. In one embodiment, the cluster partition results may be externally ranked based on distance. Referring to fig. 6, in the clustering result, the center point of the clustering region closest to the origin of coordinates (0, 0) is searched for by traversal, denoted as D1, as an initialization point, and then the center point of the clustering region closest to the initialization point is searched for by traversal, denoted as D2, as a new initialization point, and this is circulated until the traversal of the center points of all the clustering regions is completed.
When the cluster partition center point closest to the initialization point is searched, there may be two or more closest cluster partition center points with the same distance, and the method of selecting one of the two or more closest cluster partition center points with the same distance as the new initialization point is not limited.
The internal sequencing of the group strings corresponding to the clustering division result not only can obtain the automatic execution direction and the sequencing order of the group strings required in the subsequent step, but also prepares for the subsequent step of dividing the remaining group strings which are not finally divided into the first inverter into the next grid point.
In the present embodiment, the method of internally sorting the group strings corresponding to the cluster division results is also not limited. In an embodiment, the group strings corresponding to the cluster partition result may be internally ranked based on distance as well.
After externally ordering the clustering division results, obtaining an externally ordering result: e= { { region center point of cluster division result 1 }, region center point of cluster division result 2 } … }.
And in each clustering division result, namely a clustering division area, traversing the group string center points in the clustering division area by taking the area center point as an initial point, searching the nearest group string center point from the unordered group string center points, marking the nearest group string center point as an ordered point and a new initial point, and repeating the steps to obtain a group string set or a component set corresponding to the ordered group component center point. When the central points of the group strings are internally ordered, the components which are closer to the central points of the next areas are arranged at the tail end of the current internal ordering, so that the division of the remaining group strings which are not finally divided into the first inverter into the next grid point is convenient.
Thereby, an internal ordering result is obtained: es= { { { region center point of cluster division result 1, group string set }, { region center point of cluster division result 2, group string set } … } followed by further confluent division based on the internal ordering result.
And step S20, sequentially performing grid-connected point division based on the group strings corresponding to the cluster division areas, and determining a grid-connected point division result corresponding to the cluster division result.
The step of determining the grid-connected point division result corresponding to the cluster division result includes:
traversing the clustering partition area based on the sequencing direction of the clustering partition area, and traversing the group strings corresponding to the clustering partition area based on the sequencing direction of the group strings;
and dividing the grid-connected points based on the traversed group of strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
And when the grid-connected point division is sequentially carried out according to the group strings corresponding to the cluster division areas and the grid-connected point division results corresponding to the cluster division results are determined, the internal sequencing results are used for carrying out the grid-connected point division according to the internal sequencing results: es= { { { region center point of cluster division result 1, group string set }, { region center point of cluster division result 2, group string set } … } direction of ordering of cluster division regions: and traversing each cluster partition area according to the cluster sequencing direction in the cluster set, wherein the cluster partition result 1 and the cluster partition result 2 … are obtained. And then dividing the grid-connected points based on the traversed group strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
Illustratively, the step of dividing the parallel dots based on the traversed group of strings includes:
determining the photovoltaic capacity of the traversed group of strings not divided into grid-connected points;
if the photovoltaic capacity is larger than the preset grid-connected point capacity upper limit, dividing the group strings before the group strings with the photovoltaic capacity larger than the preset grid-connected point capacity upper limit into the same grid-connected point, and dividing the rest group strings which are not divided into grid-connected points finally into the same grid-connected point after traversing the group strings.
Traversing the group string central points according to the direction of the ordered group string central points, and superposing the number of the groups corresponding to the group string at each group string central point to obtain the number n1 of currently traversed groups.
When traversing to reach the central point of each group string, judging whether the photovoltaic capacity n1 of E0 exceeds the capacity upper limit of a preset grid-connected point, if not, continuing traversing superposition, wherein E0 is the power of a single component in the group string and is related to the group string type; if yes, all strings before the central point of the string in the current traversal are attributed to the 1# parallel network point, and the subordinate string sets of the parallel network point are sequentially marked as omega 1 ＝{S 1,1 ,S 1,2 ,…,S 1,j And j is the serial number of the group, and the traversal is finished.
The group string attribution of the 2# grid-connected point is carried out by re-traversing from the current point, the traversing mode is as described above, the traversing is finished until the upper limit of the preset grid-connected point capacity corresponding to the 2# grid-connected point is reached, and the group string aggregation omega is recorded 2 The traversal is ended.
Traversing all group strings, attributing grid-connected points, and recording a subordinate group string set omega of each grid-connected point i And (3) until all the group strings are traversed, attributing the rest group strings which are not divided into grid-connected points in the last traversal to K# grid-connected points, wherein the photovoltaic capacity of the group strings to which the K# grid-connected points belong does not exceed the corresponding preset grid-connected point capacity upper limit.
It should be noted that, performing traversal division on all the cluster division areas obtains K mesh points, and a mesh point may merge components in two or more adjacent cluster division areas.
And step S30, sequentially carrying out inverter division based on the group strings corresponding to the grid connection points, and determining an inverter division result corresponding to the cluster division result.
The step of determining the inverter division result corresponding to the cluster division result includes:
Traversing the group strings corresponding to the grid-connected points based on the ordering direction of the group strings;
and dividing the inverter based on the traversed group of strings to obtain an inverter dividing result corresponding to the clustering dividing result.
After traversing and dividing all the clustering division areas to obtain a plurality of grid-connected points, performing inverter division on each grid-connected point. Traversing the group strings corresponding to the grid-connected points according to the sequencing direction of the group strings, and dividing the inverter based on the traversed group strings to obtain an inverter dividing result.
It should be noted that, since the load power capacity of the grid-connected point is far greater than that of the inverter, and a plurality of inverters are included in one grid-connected point, the two divisions (grid-connected point division and inverter conversion division) are performed, the inverter division is not directly performed, the grid-connected point division is performed first, and then the rest of the components are placed in the next grid-connected point.
The step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters includes:
determining the superposition power and the required MPPT quantity of the traversed group strings which are not divided into the inverters, and determining the rated power and the first MPPT quantity corresponding to the first inverter;
And if the superposition power is larger than the rated power and the required MPPT number is larger than the first MPPT number, dividing the group strings before the group strings with the superposition power larger than the rated power and the required MPPT number larger than the first MPPT number into the same first inverter until the group strings are traversed, and dividing the rest group strings which are not divided into the first inverter into the next group network points until the first inverter is divided.
Acquiring a group string set omega= { S in a certain point of parallel connection 1 ,S 2 ,…,S j A group string power set e= { E } is derived based on the power of each group string 1 ,E 2 ,…,E j },Where Si is a component in S1 and E0 is the power of a single component in the S1 string. Then traversing the group string power set E, and calculating the superimposed power E in the traversing when the traversing reaches each point inv And simultaneously calculating the number of MPPT (Maximum Power Point Tracking ) required in the current traversal.
The inverter with the largest power in the alternative inverters is selected as a first inverter (110 KW), so that inverter division is realized by using the least inverters, the number of first MPPs corresponding to the first inverter is 9, wherein the number of the first MPPs corresponding to the 110KW is 9, the MPPs can be expressed as the number of connectable strings of the inverters, and the rated power corresponding to the first inverter is R.110 KW, wherein R is the power coefficient of the first inverter.
At this time (E) inv Not exceeding R110 kw&(number of MPPT needed)<=9), if satisfied, continuing to traverse the superposition while recalculating the new required MPPT number; if not, all strings before the central point of the string in the current traversal are all attributed to one inverter E inv1 The subordinate string set Ω' = { S of the inverter is output 1 ,S 2 ,…,S t And power E inv And clearing, namely performing traversal superposition from the group of string center points again, and restarting calculating the new required MPPT number.
Performing the cluster attribution of a new inverter again from the current point in the manner as described above, thereby outputting each inverter E invi Belonging to a subordinate group string set.
After traversing the strings under each point, determining E in the last traversal of each point inv And if the two judging conditions of the power and the MPPT number are not met, placing all the rest components into the next grid-connected point and placing the rest components at the beginning of the next grid-connected point.
The step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters includes:
Determining a second MPPT number corresponding to a second inverter, wherein rated power corresponding to the second inverter is smaller than rated power corresponding to the first inverter;
and if the number of the MPPT needed by the residual group strings which are not divided into the inverters in the last grid-connected point is not greater than the second MPPT number, dividing the residual group strings which are not divided into the inverters in the last grid-connected point into the same second inverter.
And when the last cluster dividing area and the last parallel point are divided, carrying out confluence division on the last rest of components under the last parallel point, wherein the last parallel point comprises all group strings or part of group strings in the last cluster dividing area.
In this embodiment, the first inverter initially selects 50kw, which can save cost, and the corresponding number of second MPPT is 4. Since the discrimination conditions of the first inverter of 110kw and the second inverter of 50kw are different, the parameters corresponding to 110kw are used for discrimination in previous traversal, so if the last inverter is initially selected as 50kw, the number of MPPT actually needed is different, and the number of MPPT is checked.
Calculating the number required by MPPT on the group string in the last inverter again, and if the number of MPPT required at the moment is not more than 4, confirming that a second inverter of 50kw is selected; if the number of MPPT is greater than 4, the last inverter is changed into a first inverter of 110kw, and the required number of MPPT is smaller than the number of 9 MPPT corresponding to the first inverter 110 kw.
Illustratively, after the step of obtaining the inverter partition result corresponding to the cluster partition result based on the traversed group of string partition inverters, the method includes:
and determining a string division result corresponding to the MPPT number under each inverter corresponding to the inverter division result.
Performing new cluster attribution of one inverter from the current point by performing a new traversal in the manner as described above, and outputting each inverter E invi And outputting MPPT group string division conditions under each inverter while belonging to the subordinate group string set. Similarly, when dividing the last cluster division area and the last grid-connected point, the MPPT number when the corresponding inverter is selected is output.
Finally, the inverter set { E } under the output grid-connected point inv1 ,E inv2 ,…,E invN N is the total number of inverters, and the group string set Ω' corresponding to each inverter, and the actual capacity ratio of each inverter is calculated according to the customer demand: r is (r) 1 ＝E inv1 /E ninv ，……，r N ＝E invN /E ninv And finally, outputting MPPT group string division conditions under each inverter.
In this embodiment, first, a plurality of ordered cluster division areas are obtained by performing cluster division and ordering on a photovoltaic module, where the cluster division areas include a plurality of ordered group strings; and then, sequentially carrying out grid-connected point division on the group strings corresponding to the clustering division areas to obtain a grid-connected point division result, and sequentially carrying out inverter division on the group strings corresponding to the grid-connected points to obtain an inverter division result. Therefore, compared with the manual design of the confluence dividing scheme, the confluence dividing result of the photovoltaic module can be determined efficiently and accurately.
In the application scenario of the confluence dividing method of the photovoltaic module, in the design of the user module, obstacles are encountered to influence the confluence dividing of the module string, and a designer is required to avoid the obstacles through experience, so that the work of the confluence dividing is completed. However, uneven experience of designers can lead to different assembly division results, uneven inverter selection, and extremely large length difference of required wires, and serious consequence of increased photovoltaic assembly confluence division cost can be caused. When the confluence division scheme is manually implemented, various obstacle scenes need to be considered, so that on one hand, the design efficiency is extremely low, and on the other hand, the problem of lacking data layout optimization in division exists. That is, manual design conflux division scene avoids the barrier, needs manual selvedge, and is extremely low in efficiency. When the assembly confluence division scheme is designed manually, the problem that the structure is unstable or the cost of the wires is too high when the assembly confluence division scheme faces complex scenes is caused.
In the present application, referring to fig. 8, step a, the original component string coordinates and the obstacle coordinates are obtained, all components in the group string set are abstracted, and the component center point coordinate set of the group string is constructed by calculating the center point coordinates of each component. And B, clustering the group string central points by adopting a clustering algorithm to obtain a clustered component string central point set and clustered central points. And C, carrying out uniform component string confluence division on the central point set of the clustered component strings, and shifting unsuitable component strings to the next component string nearby or to the last component string to achieve optimal N-1 component string confluence division, so as to obtain N-1 optimal component confluence division set. And D, optimizing an inverter for the undivided component string to obtain an optimal component confluence division set.
Therefore, through clustering, the center point of the operation assembly string avoids the obstacle, and the clustering algorithm is integrated into the confluence, so that the obstacle is skillfully avoided; and adopting a greedy strategy to carry out nearby displacement grid connection on the continuous assembly string set, and ensuring the minimum cable distance between the networks. And then, carrying out division optimization on the redundant components to obtain an optimal confluence division scheme. Therefore, the automatic confluence division scheme of the photovoltaic module under any complex obstacle scene is realized, the intelligent household uniform confluence division scheme is suitable for various complex obstacle scenes, and the intelligent household uniform confluence division scheme has universality and practicability.
Referring to fig. 8, in addition, an embodiment of the present application further provides a busbar splitting device of a photovoltaic module, where the busbar splitting device of the photovoltaic module includes:
the cluster division module M1 is used for determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
the grid-connected point dividing module M2 is used for sequentially carrying out grid-connected point dividing on the basis of the group strings corresponding to the clustering dividing areas and determining grid-connected point dividing results corresponding to the clustering dividing results;
and the inverter dividing module M3 is used for sequentially dividing the inverters based on the group strings corresponding to the grid connection points and determining inverter dividing results corresponding to the clustering dividing results.
Illustratively, the cluster partitioning module is further configured to:
stringing the photovoltaic module, determining a string to which the photovoltaic module belongs and determining a string center point of the string;
and carrying out cluster division based on the group string central points to obtain a cluster division result.
Illustratively, the cluster partitioning module is further configured to:
after the step of clustering based on the group string central points to obtain a clustering result,
And carrying out external sequencing on the clustering dividing result, and carrying out internal sequencing on the group of strings corresponding to the clustering dividing result.
Illustratively, the grid-tie point dividing module is further configured to:
traversing the clustering partition area based on the sequencing direction of the clustering partition area, and traversing the group strings corresponding to the clustering partition area based on the sequencing direction of the group strings;
and dividing the grid-connected points based on the traversed group of strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
Illustratively, the grid-tie point dividing module is further configured to:
determining the photovoltaic capacity of the traversed group of strings not divided into grid-connected points;
if the photovoltaic capacity is larger than the preset grid-connected point capacity upper limit, dividing the group strings before the group strings with the photovoltaic capacity larger than the preset grid-connected point capacity upper limit into the same grid-connected point, and dividing the rest group strings which are not divided into grid-connected points finally into the same grid-connected point after traversing the group strings.
Illustratively, the inverter partitioning module is further configured to:
traversing the group strings corresponding to the grid-connected points based on the ordering direction of the group strings;
And dividing the inverter based on the traversed group of strings to obtain an inverter dividing result corresponding to the clustering dividing result.
Illustratively, the inverter partitioning module is further configured to:
determining the superposition power and the required MPPT quantity of the traversed group strings which are not divided into the inverters, and determining the rated power and the first MPPT quantity corresponding to the first inverter;
and if the superposition power is larger than the rated power and the required MPPT number is larger than the first MPPT number, dividing the group strings before the group strings with the superposition power larger than the rated power and the required MPPT number larger than the first MPPT number into the same first inverter until the group strings are traversed, and dividing the rest group strings which are not divided into the first inverter into the next group network points until the first inverter is divided.
Illustratively, the inverter partitioning module is further configured to:
determining a second MPPT number corresponding to a second inverter, wherein rated power corresponding to the second inverter is smaller than rated power corresponding to the first inverter;
and if the number of the MPPT needed by the residual group strings which are not divided into the inverters in the last grid-connected point is not greater than the second MPPT number, dividing the residual group strings which are not divided into the inverters in the last grid-connected point into the same second inverter.
Illustratively, the inverter partitioning module is further configured to:
after the step of dividing the inverter based on the traversed group of strings to obtain the inverter division result corresponding to the cluster division result:
and determining a string division result corresponding to the MPPT number under each inverter corresponding to the inverter division result.
The converging dividing device for the photovoltaic module solves the technical problem that the converging dividing scheme of the photovoltaic module is difficult to determine efficiently and accurately by adopting the converging dividing method for the photovoltaic module in the embodiment. Compared with the conventional technology, the photovoltaic module confluence dividing device provided by the embodiment of the application has the same beneficial effects as the photovoltaic module confluence dividing method provided by the embodiment, and other technical features in the photovoltaic module confluence dividing device are the same as the features disclosed by the embodiment method, and are not repeated herein.
In addition, the embodiment of the application also provides a confluence dividing device of the photovoltaic module, which comprises: the photovoltaic module comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program is executed by the processor to realize the steps of the confluence dividing method of the photovoltaic module.
In addition, the embodiment of the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the confluence dividing method of the photovoltaic module when being executed by a processor.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the conventional technology in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (12)
1. A method of bus dividing a photovoltaic module, the method comprising:
determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
sequentially performing grid-connected point division based on the group strings corresponding to the cluster division areas, and determining grid-connected point division results corresponding to the cluster division results;
and sequentially carrying out inverter division based on the group strings corresponding to the grid connection points, and determining an inverter division result corresponding to the cluster division result.
2. The method for confluence division of photovoltaic modules according to claim 1, wherein the step of determining the clustering division result of the photovoltaic modules comprises:
stringing the photovoltaic module, determining a string to which the photovoltaic module belongs and determining a string center point of the string;
And carrying out cluster division based on the group string central points to obtain a cluster division result.
3. The method for confluence division of photovoltaic modules according to claim 2, wherein after the step of performing cluster division based on the group string center points to obtain a cluster division result, comprising:
and carrying out external sequencing on the clustering dividing result, and carrying out internal sequencing on the group of strings corresponding to the clustering dividing result.
4. The method for merging and dividing the photovoltaic module according to claim 1, wherein the step of determining the merging point division result corresponding to the cluster division result includes:
traversing the clustering partition area based on the sequencing direction of the clustering partition area, and traversing the group strings corresponding to the clustering partition area based on the sequencing direction of the group strings;
and dividing the grid-connected points based on the traversed group of strings to obtain grid-connected point dividing results corresponding to the clustering dividing results.
5. The method of confluence division of photovoltaic modules according to claim 4, wherein the step of dividing the parallel points based on the traversed group of strings comprises:
Determining the photovoltaic capacity of the traversed group of strings not divided into grid-connected points;
if the photovoltaic capacity is larger than the preset grid-connected point capacity upper limit, dividing the group strings before the group strings with the photovoltaic capacity larger than the preset grid-connected point capacity upper limit into the same grid-connected point, and dividing the rest group strings which are not divided into grid-connected points finally into the same grid-connected point after traversing the group strings.
6. The method according to claim 1, wherein the step of sequentially performing inverter division based on the group strings corresponding to the grid-connected points, and determining an inverter division result corresponding to the cluster division result comprises:
traversing the group strings corresponding to the grid-connected points based on the ordering direction of the group strings;
and dividing the inverter based on the traversed group of strings to obtain an inverter dividing result corresponding to the clustering dividing result.
7. The method of confluence partitioning of photovoltaic modules according to claim 6, wherein the step of obtaining inverter partitioning results corresponding to the cluster partitioning results based on the traversed group of string partitioning inverters comprises:
determining the superposition power and the required MPPT quantity of the traversed group strings which are not divided into the inverters, and determining the rated power and the first MPPT quantity corresponding to the first inverter;
And if the superposition power is larger than the rated power and the required MPPT number is larger than the first MPPT number, dividing the group strings before the group strings with the superposition power larger than the rated power and the required MPPT number larger than the first MPPT number into the same first inverter until the group strings are traversed, and dividing the rest group strings which are not divided into the first inverter into the next group network points until the first inverter is divided.
8. The method of confluence partitioning of photovoltaic modules according to claim 7, wherein the step of obtaining inverter partitioning results corresponding to the cluster partitioning results based on the traversed group of string partitioning inverters comprises:
determining a second MPPT number corresponding to a second inverter, wherein rated power corresponding to the second inverter is smaller than rated power corresponding to the first inverter;
and if the number of the MPPT needed by the residual group strings which are not divided into the inverters in the last grid-connected point is not greater than the second MPPT number, dividing the residual group strings which are not divided into the inverters in the last grid-connected point into the same second inverter.
9. The method for merging and dividing photovoltaic modules according to claim 8, wherein after the step of obtaining the inverter division result corresponding to the cluster division result based on the traversed group of string division inverters, the method comprises:
and determining a string division result corresponding to the MPPT number under each inverter corresponding to the inverter division result.
10. A bus dividing device for a photovoltaic module, the device comprising:
the cluster division module is used for determining a cluster division result of the photovoltaic module, wherein the cluster division result comprises a plurality of ordered cluster division areas, and the cluster division areas comprise a plurality of ordered group strings;
the grid-connected point dividing module is used for sequentially carrying out grid-connected point dividing on the basis of the group strings corresponding to the clustering dividing areas and determining grid-connected point dividing results corresponding to the clustering dividing results;
and the inverter dividing module is used for sequentially dividing the inverters based on the group strings corresponding to the grid connection points and determining inverter dividing results corresponding to the clustering dividing results.
11. The utility model provides a photovoltaic module's conflux division equipment, its characterized in that, photovoltaic module's conflux division equipment includes: memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method for bus dividing of a photovoltaic module according to any one of claims 1 to 9.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the bus dividing method of a photovoltaic module according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310913888.7A CN116896113A (en) | 2023-07-21 | 2023-07-21 | Converging dividing method, device, equipment and medium for photovoltaic module |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310913888.7A CN116896113A (en) | 2023-07-21 | 2023-07-21 | Converging dividing method, device, equipment and medium for photovoltaic module |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116896113A true CN116896113A (en) | 2023-10-17 |
Family
ID=88313418
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310913888.7A Pending CN116896113A (en) | 2023-07-21 | 2023-07-21 | Converging dividing method, device, equipment and medium for photovoltaic module |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116896113A (en) |
-
2023
- 2023-07-21 CN CN202310913888.7A patent/CN116896113A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110401145B (en) | Cable laying method | |
| CN113994350A (en) | Generating parallel computing schemes for neural networks | |
| CN112287529B (en) | Automatic arrangement method for photovoltaic array and automatic arrangement method for photovoltaic power station | |
| CN114332104B (en) | Power grid power transmission scene RGB point cloud semantic segmentation multi-stage model joint optimization method | |
| CN112332306A (en) | Automatic cable laying method and storage medium | |
| CN114399591A (en) | Laser point cloud data-based vectorization extraction method and device for power transmission line body | |
| CN112199407B (en) | Data packet ordering method, device, equipment and storage medium | |
| CN116896113A (en) | Converging dividing method, device, equipment and medium for photovoltaic module | |
| JP4094993B2 (en) | Overhead distribution line optimum automatic design system and method | |
| CN112150584A (en) | Intelligent editing method and device for plant station wiring diagram based on data analysis result | |
| CN117057078A (en) | Electrical wiring diagram generation method, device, equipment and medium | |
| CN113378069B (en) | Main and distribution network automatic drawing method based on intelligent recommendation algorithm | |
| CN112800547B (en) | Layout optimization method and device for electric vehicle motor controller and storage medium | |
| CN114970165A (en) | Digital entity automatic modeling method, system and equipment for cable in bridge | |
| CN115037223A (en) | Automatic planning method and device for photovoltaic square matrix and electronic equipment | |
| CN114722547A (en) | Photovoltaic module serial line arrangement determining method and device, electronic equipment and storage medium | |
| JP5477242B2 (en) | Optimization processing program, method and apparatus | |
| CN112101708A (en) | Expert knowledge fused power grid short circuit safety intelligent decision method and system | |
| CN116644538B (en) | Photovoltaic subarray cable confluence path calculation method, computer equipment and storage medium | |
| CN112436439B (en) | Method and device for laying cable bridge of photovoltaic power station | |
| CN114549776B (en) | Rectangular family batch placement method based on Dynamo and Revit | |
| CN115146423B (en) | Cable network ring-opening design method | |
| CN112685865B (en) | Multi-topology model merging method, device, equipment and storage medium | |
| CN108536837B (en) | Knowledge tree generation method, device, equipment and storage medium | |
| CN109885738B (en) | Layered electric path search method, power distribution network device, storage medium, and apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |