CN111371402A - Layout method, device and equipment of convergence equipment in photovoltaic power station and storage medium - Google Patents
Layout method, device and equipment of convergence equipment in photovoltaic power station and storage medium Download PDFInfo
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- 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
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- H02S40/34—Electrical components comprising specially adapted electrical connection means to be structurally associated with the PV module, e.g. junction boxes
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Abstract
The embodiment of the application discloses a layout method, a device, equipment and a storage medium of convergence equipment in a photovoltaic power station, belonging to the technical field of energy sources, wherein the method comprises the following steps: carrying out region division on the photovoltaic power station to obtain M subareas; for the ith partition in the M partitions, clustering and grouping the photovoltaic group strings in the ith partition to obtain N groups; the center position of each group is acquired, and the center position is determined as the placement position of the bus device. According to the technical scheme provided by the embodiment of the application, after the photovoltaic power station is partitioned, the computer equipment groups all the partitions through clustering and grouping, and the confluence equipment is placed at the center position of each group, so that the dependence on manpower when the placement position of the confluence equipment is selected is reduced, and the position selection efficiency of the confluence equipment is improved; the computer equipment is used for simulating and placing the convergence equipment, so that the position of the convergence equipment is convenient to modify.
Description
Technical Field
The embodiment of the application relates to the technical field of energy, in particular to a layout method, a device, equipment and a storage medium of convergence equipment in a photovoltaic power station.
Background
Currently, various photovoltaic power plant projects are under constant construction.
In the related art, before a photovoltaic power station is built, designers design positions of photovoltaic string and confluence devices in the photovoltaic power station according to work experience, and further determine the layout of each hardware device in the photovoltaic power station according to the designed positions.
However, the determination of the placement position of the bus device by a designer is highly dependent on the designer and inefficient.
Disclosure of Invention
The embodiment of the application provides a layout method, a device, equipment and a storage medium of convergence equipment in a photovoltaic power station, which can be used for solving the problems that in the related art, the placement position of the convergence equipment is determined by designers, the dependence on the designers is large, and the efficiency is not high. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a layout method for a junction device in a photovoltaic power station, which is applied to a computer device, and the method includes:
the method comprises the steps of carrying out region division on a photovoltaic power station to obtain M subareas, wherein M is a positive integer;
for the ith partition in the M partitions, clustering and grouping the photovoltaic group strings in the ith partition to obtain N groups; wherein i is a positive integer less than or equal to M, and N is a positive integer;
the center position of each group is acquired, and the center position is determined as the placement position of the sink device.
On the other hand, the embodiment of this application provides a layout device of equipment that converges in photovoltaic power plant, is applied to in the computer equipment, the device includes:
the region division module is used for carrying out region division on the photovoltaic power station to obtain M regions, wherein M is a positive integer;
the string grouping module is used for clustering and grouping the photovoltaic strings in the ith partition in the M partitions to obtain N groups; wherein i is a positive integer less than or equal to M, and N is a positive integer;
a position acquisition module for acquiring a center position of each group and determining the center position as a placement position of the bus device.
In yet another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the above method.
In yet another aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the above method.
In a further aspect, the present application provides a computer program product, which when run on a computer device, causes the computer device to execute the above method.
The technical scheme provided by the embodiment of the application can bring the following beneficial effects:
after the computer equipment partitions the photovoltaic power station, the partitions are grouped by clustering and grouping, and the confluence equipment is placed at the center position of each group, so that the problems that in the related technology, the placement position of the confluence equipment is determined by a designer, the dependence on the designer is large, and the efficiency is low are solved, the dependence on manpower when the placement position of the confluence equipment is selected is reduced, and the position selection efficiency of the confluence equipment is improved; the computer equipment is used for simulating and placing the convergence equipment, so that the position of the convergence equipment is convenient to modify.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a photovoltaic system architecture of a photovoltaic power plant provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method for placement of a combiner device in a photovoltaic power plant according to one embodiment of the present application;
FIG. 3 shows a schematic diagram of a photovoltaic power plant grouping method;
FIG. 4 shows a schematic diagram of a bus device placement method;
FIG. 5 is a flow chart of a method for placement of a combiner device in a photovoltaic power plant according to another embodiment of the present disclosure;
FIG. 6 is a block diagram of a layout arrangement for a combiner device in a photovoltaic power plant according to an embodiment of the present application;
FIG. 7 is a block diagram of an arrangement of junction devices in a photovoltaic power plant according to another embodiment of the present disclosure;
fig. 8 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of a photovoltaic system structure of a photovoltaic power plant according to an embodiment of the present application is shown. As shown in fig. 1, a photovoltaic system 100 includes: photovoltaic string 110, bus device 120, box transformer 130, and grid connection point 140.
In the embodiment of the present application, the photovoltaic modules may be connected in series in a straight line to form the photovoltaic string 110, or in series in a U-shape to form the photovoltaic string. Alternatively, in the photovoltaic system 100, the number of photovoltaic modules included in different photovoltaic string 110 may be the same or different.
The junction device 120 is used for achieving rectification and inversion functions and ensuring orderly connection of the photovoltaic modules. The rectification refers to a process of converting alternating current into direct current, and the inversion refers to a process of converting direct current into alternating current. In one possible embodiment, the combiner device 120 includes a string inverter and a combiner box. Alternatively, the photovoltaic string may be connected to the string inverter first, and further, connected to the combiner box by the string inverter. In another possible embodiment, the combiner device 120 includes a non-string inverter and a dc combiner box, and optionally, the photovoltaic string may be connected to the dc combiner box first, and further, connected to the non-string inverter by the dc combiner box.
The box transformer 130 is used to change the voltage of the current. Optionally, the current after passing through the box transformer 130 can be connected to the utility grid through the grid-connected point 140. In the embodiment of the present application, the connection sequence of the above-mentioned parts sequentially is: the photovoltaic string 110 is connected to the junction device 120, the junction device 120 is connected to the box transformer 130, and the box transformer 130 is connected to the grid-connected point 140.
It should be noted that in the method provided in the embodiment of the present application, the execution subject of each step may be a Computer device, where the Computer device refers to an electronic device with data calculation, processing, and storage capabilities, and the Computer device may be a terminal such as a tablet Computer, a PC (Personal Computer), an intelligent robot, or the like, or may be a server.
The technical solution of the present application will be described below by means of several embodiments.
Referring to fig. 2, a flow chart of a layout method of a junction device in a photovoltaic power plant according to an embodiment of the present application is shown. The method can be applied to computer equipment, for example, the execution subject of each step can be the computer equipment. The method comprises the following steps (201-203):
The subareas refer to all distribution areas of photovoltaic group strings in the photovoltaic power station. Optionally, the photovoltaic power station may be divided into regions according to geographic environments or construction requirements to obtain M partitions. Where M is a positive integer, optionally, M may be any number, which is not limited in this application.
In the embodiment of the present application, the photovoltaic power station may be disposed on one or more roofs, and the computer device may partition the photovoltaic power station according to the house layout, for example, taking different roofs as different partitions of the photovoltaic power station; or, the north and south slopes of the same roof are taken as the same subarea. Optionally, the number of the photovoltaic strings in different partitions may be the same or different, and this is not limited in this embodiment of the application. Exemplarily, with reference in combination to fig. 3, a first partition 31 and a second partition 32 are comprised in the photovoltaic power plant 30. The number of the photovoltaic string strings included in the first partition 31 is 42, and the number of the photovoltaic string included in the second partition 32 is 41. It should be noted that the strings in different zones are connected to different bus devices.
The ith partition refers to any one of the M partitions. Wherein i is a positive integer less than or equal to M. Clustering and grouping refer to grouping the photovoltaic group strings in the ith partition by a clustering algorithm. Optionally, the photovoltaic group strings in the ith partition may be divided into N groups, where N is a positive integer. It should be noted that the numerical value of N may be the same or different in different partitions, and this is not limited in the embodiments of the present application.
In this embodiment of the present application, after partitioning a photovoltaic power station to obtain M partitions, a computer device may obtain an actual maximum accessible string number of a bus device through a formula, and perform clustering grouping on the ith partition according to the actual maximum accessible string number to obtain N groups, where N may be optionally 3, 4, 5, or 6, and this is not limited in this embodiment of the present application. The actual maximum accessible string number refers to the maximum number of photovoltaic string strings actually allowed to be accessed by the junction device.
It should be noted that the photovoltaic strings in each group are connected to the same bus device, and the photovoltaic strings in different groups are connected to different bus devices. Optionally, the step 202 includes the following steps:
1. an actual maximum number of accessible strings for the bus device is determined.
Alternatively, the computer device may calculate an actual maximum accessible string number of the above-described sink device from the first data and the second data. The first data comprise rated maximum accessible string number and rated output power of the junction device, wherein the rated maximum accessible string number refers to the maximum number of photovoltaic group strings which are accessed by the junction device in a rated and allowed mode; the second data comprises the preset super-proportion, the number of photovoltaic modules, the power of the photovoltaic modules and the number of photovoltaic group strings of the ith subarea.
It should be noted that, in different partitions, the actual maximum accessible strings may be the same or different, and this is not limited in the embodiment of the present application. The following will describe the method for calculating the actual maximum accessible string number in detail, which is not described herein again.
2. And clustering and grouping the photovoltaic group strings in the ith partition according to the actual maximum number of the accessible strings to obtain N groups.
Alternatively, after determining the maximum number of strings that can be actually accessed by the bus device, the computer device determines the value of N according to the number of photovoltaic strings in the ith partition and the maximum number of strings that can be actually accessed, for example, if the number of photovoltaic strings is 42 and the maximum number of strings that can be actually accessed is 12, the value of N is any integer greater than or equal to 4 and less than 42.
In this embodiment of the present application, the computer device may select N photovoltaic group strings from the ith partition as starting positions of clustering groups; further, with the start position as a center, clustering and grouping are performed on the photovoltaic group strings in the ith partition to obtain N groups. And the number of the photovoltaic group strings in each group is less than or equal to the actual maximum number of the accessible strings.
Illustratively, with combined reference to fig. 3, the actual maximum number of accessible strings in the first partition 31 is 12 and the actual maximum number of accessible strings in the second partition 32 is 9, and thus, the strings of photovoltaic groups in the first partition 31 may be divided into 4 groups and the strings of photovoltaic groups in the second partition 32 may be divided into five groups. It should be noted that, after the grouping, the bus apparatus needs to be placed at the center of each group.
Optionally, after clustering and grouping the ith partition, the computer device may place a bus device in the geometric center of the N groups, and optionally, in this embodiment, the bus device may be a primary bus device, such as a string inverter or a dc combiner box.
Illustratively, with combined reference to fig. 3 and 4, the actual maximum number of accessible strings for the second partition 32 is 9, and thus, the computer device divides the second partition 32 into five groups. Wherein the first packet 41, the second packet 42 and the third packet 43 are as shown in fig. 4. The first grouping 41 includes 5 strings of photovoltaic groups, and the second and third groupings 42 and 43 each include 9 strings of photovoltaic groups. In addition, a bus device is placed at the geometric center of each of the first group 41, the second group 42, and the third group 43. In addition, each photovoltaic string needs to be connected in parallel to the corresponding junction device through a cable. It should be noted that, when the photovoltaic string is connected to the junction device, both ends of the photovoltaic string need to be connected to the junction device, and the direction of the cable may be parallel to or perpendicular to the arrangement direction of the above-mentioned components.
To sum up, in the technical scheme provided by the embodiment of the application, after the computer device partitions the photovoltaic power station, the partitions are grouped by clustering and grouping, and the junction device is placed at the center position of each group, so that the problems that in the related art, the placement position of the junction device is determined by a designer, the dependence on the designer is large, and the efficiency is low are solved, the dependence on manual work when the placement position of the junction device is selected is reduced, and the position selection efficiency of the junction device is improved; the computer equipment is used for simulating and placing the convergence equipment, so that the position of the convergence equipment is convenient to modify.
In addition, the actual maximum number of the accessible strings of the confluence equipment of each partition is calculated according to the parameters of the confluence equipment and each partition, so that the accuracy of a calculation result is effectively ensured, and the improvement of the power supply capacity of the photovoltaic group strings of each partition is facilitated.
In addition, each partition is clustered and grouped according to the actual maximum accessible string number of the confluence equipment, the rationality of grouping the photovoltaic strings in each partition is improved, and the working efficiency of the confluence equipment and the photovoltaic strings is improved.
Next, a method of calculating the actual maximum accessible string number of the above-described bus apparatus will be described.
1. And calculating the value range of the number of the confluence devices according to the rated output power, the rated maximum accessible string number, the preset super-proportion, the number of the photovoltaic modules, the power of the photovoltaic modules and the number of the photovoltaic module strings.
The rated output power refers to the maximum power that the bus device can output under normal operation. The rated maximum accessible string number refers to the number of photovoltaic string strings that the junction device is rated to allow access to. The preset super-ratio refers to the ith partition, and optionally, the preset value may be set by a computer device or by a worker according to experience. The number of photovoltaic modules refers to the total number of photovoltaic modules in the ith partition. The photovoltaic module power refers to the maximum power that the photovoltaic module can output under the condition of normal operation. The number of photovoltaic string groups refers to the total number of photovoltaic string groups in the ith partition. Optionally, after the computer device obtains the first data and the second data, the computer device selects the parameter from the first data and the second data to calculate a value range of the number of the confluence devices in the ith partition.
In an embodiment of the application, the preset super-proportion includes a minimum preset super-proportion and a maximum preset super-proportion. Optionally, the computer device calculates a candidate upper limit value of the value range according to the rated output power, the rated maximum number of accessible strings, the minimum preset super-proportion, the number of photovoltaic modules and the power of the photovoltaic modules; further, the smaller value of the photovoltaic string number and the candidate upper limit value is selected as the upper limit value of the value range. Then, the computer equipment calculates a first candidate lower limit value of the value range according to the rated output power, the maximum preset super-ratio, the number of the photovoltaic modules and the power of the photovoltaic modules; further, according to the rated maximum number of accessible strings and the number of photovoltaic strings, calculating a second candidate lower limit value of the value range, and selecting the larger value of the first candidate lower limit value and the second candidate lower limit value as the lower limit value of the value range.
Exemplarily, assume that the rated output power of the busbar device is PinvRated maximum number of accessible strings is MinThe minimum preset super-proportion is rminThe number of the photovoltaic modules is NmodThe power of the photovoltaic module is PmodThen the candidate upper limit value N of the above value range1Comprises the following steps:
the upper limit value N of the value rangeinv_maxComprises the following steps:
Ninv_max＝min(Nstr，N1)；
wherein the content of the first and second substances,Nstrthe number of the photovoltaic string in the ith partition is described above.
Assuming that the maximum preset super-ratio is rmaxThen the first candidate lower limit value N of the above-mentioned value range2Comprises the following steps:
a second candidate lower limit value N of the value range3Comprises the following steps:
the lower limit value N of the value rangeinv_minComprises the following steps:
Ninv_min＝max(N2，N3)；
therefore, the number of the above-mentioned confluence devices has a value range of [ N [ ]inv_min，Ninv_max]The number of the bus devices is a positive integer.
2. And calculating the candidate actual maximum accessible string number of the confluence equipment according to the value range.
Optionally, in this embodiment of the application, after obtaining the value range of the number of the above-mentioned convergence devices, the computer device may obtain the candidate maximum accessible string number of the convergence device according to the value range. Illustratively, the candidate actual accessible maximum number of strings C of the bus device1Comprises the following steps:
wherein N isstrFor the number of photovoltaic strings in the i-th partition, NinvFor the number of the above-mentioned bus devices in the i-th partition, in the embodiment of the present application, NinvHas a value range of [ Ninv_min，Ninv_max]Optionally, the computer device may select an integer value from the range of values as NinvComputing one or more candidate entitiesMaximum number of strings C that can be accessed1。
It should be noted that, in the embodiment of the present application, the candidate actual maximum accessible string number C corresponding to different partitions1May be the same or different.
3. And selecting the smaller value of the rated maximum accessible string number and the candidate actual maximum accessible string number as the actual maximum accessible string number.
Optionally, after obtaining the one or more candidate actual accessible string numbers, the computer device selects a smaller value of the rated maximum accessible string number and the candidate actual maximum accessible string number as the actual accessible maximum string number of the bus device. Illustratively, the actual maximum number of accessible strings C of the bus devicemaxComprises the following steps:
Cmax＝min(Min，C1)；
wherein M isinFor a nominal maximum number of accessible strings, C, of said junction devices1Is the actual maximum number of accessible strings candidate for the above-mentioned bus device, optionally C1May include one or more candidate actual maximum accessible strings.
Referring to fig. 5, a flow chart of a layout method of a junction device in a photovoltaic power plant according to another embodiment of the present application is shown. The method can be applied to computer equipment, for example, the execution subject of each step can be the computer equipment. The method comprises the following steps (501-506):
In step 503, the center position of each group is acquired, and the center position is determined as the placement position of the bus device.
The steps 501-503 are the same as the steps 201-203 in the embodiment of fig. 2, and refer to the embodiment of fig. 2 specifically, which is not described herein again.
Alternatively, after the computer device determines the center positions of the N groups as the placement positions of the bus devices, the grouping method and the placement method of the bus devices may be used as a candidate, and further, the computer device may continue to perform the iterative clustering algorithm to obtain a plurality of candidate solutions, where it should be noted that each candidate solution includes the placement position of the bus device determined according to one clustering grouping result.
Next, an iterative clustering algorithm will be described.
1. And selecting N photovoltaic group strings from the ith partition by the computer equipment as the kth group starting position of the clustering group, wherein the initial value of k is 1.
2. And the computer equipment clusters and groups the photovoltaic group strings in the ith partition by taking the kth group starting position as the center to obtain N candidate groups.
3. The computer device selects the center position of the N candidate groups as the (k + 1) th group start position.
4. And if the distance between the starting position of the k +1 th group and the starting position of the k-th group is larger than the threshold, discarding the N candidate groups, enabling k to be k +1, clustering and grouping the photovoltaic group strings in the ith partition by taking the starting position of the k-th group as the center, and obtaining the N candidate groups.
Optionally, the threshold is determined by a computer device, and may be 1m, 2m, 3m, or the like, which is not limited in this embodiment of the application. In a possible implementation, when the distance between the (k + 1) th group starting position and the (k) th group starting position is less than or equal to the threshold, the computer device stops clustering, and generates candidate solutions according to the N candidate groups obtained by the last clustering; in another possible implementation manner, when the number of iterative clustering reaches a threshold, the computer device stops clustering grouping, and generates a candidate solution according to N candidate groupings obtained by the last clustering grouping, where the threshold may be 100, 200, or 300, and so on, which is not limited in this application. Optionally, the computer device may repeat the iterative clustering algorithm to obtain a plurality of candidate solutions. It should be noted that, in the grouping process of the iterative clustering algorithm, the number of the photovoltaic group strings in any one grouping is less than or equal to the actual maximum accessible string number.
And 505, acquiring evaluation parameters corresponding to the multiple candidate schemes.
The evaluation parameters refer to energy consumption evaluation of each candidate scheme in actual application. In the present embodiment, the evaluation parameter includes a cable usage amount. Optionally, after obtaining the plurality of candidate solutions, the computer device calculates the cable usage amount in each candidate solution, such as connecting the photovoltaic sets in each candidate solution in series and parallel to the corresponding junction device; further, the computer device obtains the evaluation parameters corresponding to the candidate schemes according to the cable usage amount in the candidate schemes.
The target candidate means the optimal solution among the plurality of candidate solutions. Optionally, in the optimal solution, the cable usage when the photovoltaic modules are connected in series and parallel to the corresponding junction device satisfies the condition. In a possible embodiment, the above conditions mean that the cable usage is minimal. Optionally, after acquiring the evaluation parameter, the computer device selects, as the target candidate, a candidate with the least cable usage from the plurality of candidates according to the evaluation parameter. In another possible embodiment, the above conditions are such that the cable usage is less than the target value and the connection distribution loss of the cable is minimal, which loss is the possible degree of wear of the cable during use. Optionally, after obtaining the evaluation parameter, the computer device selects, according to the evaluation parameter, a candidate solution with a cable usage amount smaller than a target value from the plurality of candidate solutions, where the target value may be determined by a computer or may be determined by a worker according to a work experience, and the embodiment of the present application is not limited thereto. Further, the computer device selects, as a target candidate, a candidate with the smallest connection distribution loss of the cable from among the above candidates in which the cable usage is smaller than the target value.
In summary, in the technical solution provided in the embodiment of the present application, after obtaining a plurality of candidate schemes through an iterative clustering algorithm, a target candidate scheme is obtained according to evaluation parameters of the plurality of candidate schemes, which is beneficial to an optimal layout method of photovoltaic string and junction equipment in a photovoltaic power station; the evaluation parameters comprise the using amount of the cable, and the target candidate scheme is selected according to the using amount of the cable, so that the rationality of the using amount of the cable is guaranteed, the resource consumption and the loss of electric quantity in the transportation process are reduced, the working efficiency of the photovoltaic string and the confluence device is effectively improved, and the power supply capacity of the photovoltaic power station is improved.
It should be noted that, in the above, the ith partition is taken as an example, and a layout method of the junction device in any partition of the photovoltaic power station is introduced, in practical application, the computing device may perform the above steps on each partition of the photovoltaic power station, so as to obtain the layout method of the junction device in the whole photovoltaic power station.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 6, a block diagram of a layout apparatus of a junction device in a photovoltaic power plant according to an embodiment of the present application is shown. The device has the functions of realizing the method examples, and the functions can be realized by hardware or by hardware executing corresponding software. The device can be a computer device and can also be arranged in the computer device. The apparatus 600 may include: a region dividing module 601, a group string grouping module 602, and a location acquisition module 603.
The area division module 601 is configured to perform area division on the photovoltaic power station to obtain M partitions, where M is a positive integer.
A cluster grouping module 602, configured to perform cluster grouping on the photovoltaic cluster in an ith partition of the M partitions to obtain N clusters; wherein i is a positive integer less than or equal to M, and N is a positive integer.
A position acquisition module 603 configured to acquire a center position of each group and determine the center position as a placement position of the bus device.
In an exemplary embodiment, the string number determining unit 602 includes: a data acquisition subunit and a string number calculation subunit.
And the data acquisition subunit is used for acquiring the first data and the second data.
A string number calculating subunit, configured to calculate the actual maximum accessible string number according to the first data and the second data; the first data comprise rated maximum accessible string number and rated output power of the bus equipment, and the rated maximum accessible string number refers to the maximum number of photovoltaic string strings which are accessed by the bus equipment in a rated and allowed mode; the second data comprise the preset super-proportion of the ith partition, the number of photovoltaic modules, the power of the photovoltaic modules and the number of photovoltaic group strings.
In an exemplary embodiment, the string number calculating subunit is configured to calculate a value range of the number of the junction devices according to the rated output power, the rated maximum accessible string number, the preset super-proportion, the number of the photovoltaic modules, the power of the photovoltaic modules, and the number of the photovoltaic group strings; calculating the candidate actual maximum accessible string number of the confluence equipment according to the value range; and selecting the smaller value of the rated maximum accessible string number and the candidate actual maximum accessible string number as the actual maximum accessible string number.
In an exemplary embodiment, the preset super-proportion includes a minimum preset super-proportion and a maximum preset super-proportion.
The string number calculating subunit is further configured to calculate a candidate upper limit value of the value range according to the rated output power, the rated maximum accessible string number, the minimum preset super-proportion, the number of photovoltaic modules, and the power of the photovoltaic modules; selecting the smaller value of the photovoltaic string number and the candidate upper limit value as the upper limit value of the value range; calculating a first candidate lower limit value of the value range according to the rated output power, the maximum preset super-ratio, the number of the photovoltaic modules and the power of the photovoltaic modules; calculating a second candidate lower limit value of the value range according to the rated maximum accessible string number and the photovoltaic group string number; and selecting the larger value of the first candidate lower limit value and the second candidate upper limit value as the lower limit value of the value range.
In an exemplary embodiment, the string grouping unit is configured to select N photovoltaic strings from the ith partition as starting positions of cluster grouping; clustering and grouping the photovoltaic group strings in the ith partition by taking the initial position as a center to obtain N groups; wherein the number of strings of photovoltaic groups in each group is less than or equal to the actual maximum number of accessible strings.
In an exemplary embodiment, as shown in fig. 7, the apparatus 600 further includes: a scheme acquisition module 604, a parameter acquisition module 605, and a target selection module 606.
A scheme obtaining module 604, configured to obtain a plurality of candidate schemes according to an iterative clustering algorithm, where each candidate scheme includes a placement position of the sink device determined according to a clustering grouping result.
A parameter obtaining module 605, configured to obtain evaluation parameters corresponding to the multiple candidate schemes, where the evaluation parameters include a cable usage amount.
A target selecting module 606, configured to select a target candidate scheme from the multiple candidate schemes according to the evaluation parameter.
To sum up, in the technical scheme provided by the embodiment of the application, after the computer device partitions the photovoltaic power station, the partitions are grouped by clustering and grouping, and the junction device is placed at the center position of each group, so that the problems that in the related art, the placement position of the junction device is determined by a designer, the dependence on the designer is large, and the efficiency is low are solved, the dependence on manual work when the placement position of the junction device is selected is reduced, and the position selection efficiency of the junction device is improved; the computer equipment is used for simulating and placing the convergence equipment, so that the position of the convergence equipment is convenient to modify.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 8, a block diagram of a computer device 800 according to an embodiment of the present application is shown. The computer device is used for implementing the layout method of the confluence device in the photovoltaic power station provided in the embodiment.
Specifically, the method comprises the following steps:
the computer apparatus 800 includes a Processing Unit (e.g., a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field Programmable gate array), etc.) 801, a system Memory 804 including a RAM (Random Access Memory) 802 and a ROM (Read Only Memory) 803, and a system bus 805 connecting the system Memory 804 and the Central Processing Unit 801. The computer device 800 also includes a basic I/O system (Input/Output) 806 to facilitate information transfer between various devices within the computer device, and a mass storage device 807 for storing an operating system 813, application programs 814, and other program modules 812.
The basic input/output system 806 includes a display 808 for displaying information and an input device 809 such as a mouse, keyboard, etc. for user input of information. Wherein the display 808 and the input device 809 are connected to the central processing unit 801 through an input output controller 810 connected to the system bus 805. The basic input/output system 806 may also include an input/output controller 810 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 810 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 807 is connected to the central processing unit 801 through a mass storage controller (not shown) connected to the system bus 805. The mass storage device 807 and its associated computer-readable media provide non-volatile storage for the computer device 800. That is, the mass storage device 807 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 804 and mass storage 807 described above may be collectively referred to as memory.
The computer device 800 may also operate as a remote computer connected to a network via a network, such as the internet, in accordance with embodiments of the present application. That is, the computer device 800 may be connected to the network 812 through the network interface unit 811 coupled to the system bus 805, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 811.
It should be noted that the structure of the computer device described above is merely exemplary and explanatory, and may include more or less components, which are not limited by the embodiments of the present application.
In an embodiment of the present application, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the above method.
Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
In an exemplary embodiment, a computer program product is also provided, which, when run on a computer device, causes the computer device to perform the above-mentioned method.
It should be understood that reference to "a plurality" herein means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. In addition, the step numbers described herein only exemplarily show one possible execution sequence among the steps, and in some other embodiments, the steps may also be executed out of the numbering sequence, for example, two steps with different numbers are executed simultaneously, or two steps with different numbers are executed in a reverse order to the order shown in the figure, which is not limited by the embodiment of the present application.
The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A layout method of a confluence device in a photovoltaic power station is applied to a computer device, and comprises the following steps:
the method comprises the steps of carrying out region division on a photovoltaic power station to obtain M subareas, wherein M is a positive integer;
for the ith partition in the M partitions, clustering and grouping the photovoltaic group strings in the ith partition to obtain N groups; wherein i is a positive integer less than or equal to M, and N is a positive integer;
the center position of each group is acquired, and the center position is determined as the placement position of the sink device.
2. The method of claim 1, wherein clustering and grouping the strings of photovoltaic groups in the ith partition into N groups comprises:
determining an actual maximum number of accessible strings of the junction device, wherein the actual maximum number of accessible strings is the maximum number of photovoltaic string strings actually allowed to be accessed by the junction device;
and clustering and grouping the photovoltaic group strings in the ith partition according to the actual maximum number of the accessible strings to obtain the N groups.
3. The method of claim 2, wherein the determining an actual maximum number of accessible strings for the bus device comprises:
acquiring first data and second data;
calculating the actual maximum accessible string number according to the first data and the second data;
the first data comprise rated maximum accessible string number and rated output power of the bus equipment, and the rated maximum accessible string number refers to the maximum number of photovoltaic string strings which are accessed by the bus equipment in a rated and allowed mode; the second data comprise the preset super-proportion of the ith partition, the number of photovoltaic modules, the power of the photovoltaic modules and the number of photovoltaic group strings.
4. The method of claim 3, wherein said calculating the actual maximum number of accessible strings from the first data and the second data comprises:
calculating the value range of the number of the confluence devices according to the rated output power, the rated maximum accessible string number, the preset super-proportion, the number of the photovoltaic modules, the power of the photovoltaic modules and the number of the photovoltaic group strings;
calculating the candidate actual maximum accessible string number of the confluence equipment according to the value range;
and selecting the smaller value of the rated maximum accessible string number and the candidate actual maximum accessible string number as the actual maximum accessible string number.
5. The method of claim 4, wherein the preset super-match ratio includes a minimum preset super-match ratio and a maximum preset super-match ratio;
calculating the value range of the number of the confluence devices according to the rated output power, the preset super-proportion, the number of the photovoltaic assemblies, the power of the photovoltaic assemblies and the number of the photovoltaic strings, and comprising the following steps:
calculating a candidate upper limit value of the value range according to the rated output power, the rated maximum accessible string number, the minimum preset super-proportion, the number of the photovoltaic modules and the power of the photovoltaic modules;
selecting the smaller value of the photovoltaic string number and the candidate upper limit value as the upper limit value of the value range;
calculating a first candidate lower limit value of the value range according to the rated output power, the maximum preset super-ratio, the number of the photovoltaic modules and the power of the photovoltaic modules;
calculating a second candidate lower limit value of the value range according to the rated maximum accessible string number and the photovoltaic group string number;
and selecting the larger value of the first candidate lower limit value and the second candidate lower limit value as the lower limit value of the value range.
6. The method according to claim 2, wherein the clustering and grouping the pv strings in the ith partition according to the actual maximum accessible string number to obtain the N groups comprises:
determining the number N of the grouping of the ith subarea according to the actual maximum accessible string number;
selecting N photovoltaic group strings from the ith partition as the initial positions of clustering groups;
clustering and grouping the photovoltaic group strings in the ith partition by taking the initial position as a center to obtain N groups;
wherein the number of strings of photovoltaic groups in each group is less than or equal to the actual maximum number of accessible strings.
7. The method according to any one of claims 1 to 6, wherein after the obtaining the center position of each group and determining the center position as the placement position of the bus device, further comprising:
according to an iterative clustering algorithm, obtaining a plurality of candidate schemes, wherein each candidate scheme comprises a placement position of the confluence device determined according to a clustering grouping result;
obtaining evaluation parameters corresponding to the candidate schemes respectively, wherein the evaluation parameters comprise cable usage amount;
and selecting a target candidate scheme from the candidate schemes according to the evaluation parameters.
8. A layout device of a junction device in a photovoltaic power plant, characterized in that the device comprises:
the region division module is used for carrying out region division on the photovoltaic power station to obtain M regions, wherein M is a positive integer;
the string grouping module is used for clustering and grouping the photovoltaic strings in the ith partition in the M partitions to obtain N groups; wherein i is a positive integer less than or equal to M, and N is a positive integer;
a position acquisition module for acquiring a center position of each group and determining the center position as a placement position of the bus device.
9. A computer device, characterized in that the computer device comprises a processor and a memory, in which a computer program is stored, which computer program is loaded and executed by the processor to implement the method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which is loaded and executed by a processor to implement the method according to any one of claims 1 to 7.
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