CN117276379A

CN117276379A - Photovoltaic module arrangement method, system, electronic equipment and computer storage medium

Info

Publication number: CN117276379A
Application number: CN202311295921.0A
Authority: CN
Inventors: 张彦虎; 詹鑫; 王宝文; 高志文
Original assignee: Sungrow Renewables Development Co Ltd
Current assignee: Sungrow Renewables Development Co Ltd
Priority date: 2023-10-07
Filing date: 2023-10-07
Publication date: 2023-12-22

Abstract

The application discloses a photovoltaic module arrangement method, a photovoltaic module arrangement system, electronic equipment and a computer storage medium, and belongs to the technical field of photovoltaic modules. The method comprises the steps of determining a first maximization function corresponding to the total row number of the photovoltaic modules in a target roof, and determining a second maximization function corresponding to an operation and maintenance channel; determining a first optimal value of the first maximization function according to a first constraint condition corresponding to the first maximization function and roof parameters, and constructing a second constraint condition according to the first optimal value, wherein the roof parameters comprise a width function; determining a second optimal value of a second pole maximization function according to the first constraint condition and the second constraint condition; and determining the number of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and arranging the photovoltaic modules according to the number of the photovoltaic modules and the space between the operation and maintenance channels. When the photovoltaic module is arranged, the optimal quantity of the photovoltaic modules is achieved, and the space between the operation and maintenance channels can be maximized.

Description

Photovoltaic module arrangement method, system, electronic equipment and computer storage medium

Technical Field

The application relates to the technical field of photovoltaic module arrangement, in particular to a photovoltaic module arrangement method, a system, electronic equipment and a computer storage medium.

Background

When photovoltaic module arrangement is performed, operation and maintenance channels are generally required to be arranged between photovoltaic arrays. The operation and maintenance channel can reduce the photovoltaic installed capacity, but needs to be applied to the operation and maintenance channel in the later operation and maintenance process.

The traditional photovoltaic module arrangement method is to arrange according to fixed array rows/columns and set operation and maintenance channels among the photovoltaic arrays, but the photovoltaic module arrangement method has great defects, and can not effectively compatible with the space between the operation and maintenance channels and the quantity of the photovoltaic modules due to the fixed array rows/columns, namely the space between the operation and maintenance channels is too small to influence the later operation and maintenance, or the quantity of the photovoltaic modules is not optimal, so that the bad phenomenon that the capacity of the photovoltaic installation is too small occurs.

Disclosure of Invention

The main purpose of the application is to provide a photovoltaic module arrangement method, a system, electronic equipment and a computer storage medium, and aims to solve the technical problem of maximizing the space between operation and maintenance channels under the condition of realizing the optimal quantity of photovoltaic modules.

In order to achieve the above purpose, the present application provides a photovoltaic module arrangement method, which includes the following steps:

Determining a width function of an arrangeable area in the target roof, determining a first maximization function corresponding to the total row number of the photovoltaic modules in the target roof, and determining a second maximization function corresponding to the operation and maintenance channel;

determining a first optimal value of the first maximization function according to a first constraint condition corresponding to the first maximization function and a roof parameter, and constructing a second constraint condition according to the first optimal value, wherein the roof parameter comprises a width function;

determining a second optimal value of the second maximization function according to the first constraint condition and the second constraint condition;

and determining the number of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and carrying out photovoltaic module arrangement according to the number of the photovoltaic modules and the space between the operation and maintenance channels.

Optionally, the step of determining the first optimal value of the first maximization function according to the first constraint condition and the roof parameter corresponding to the first maximization function includes:

determining a roof parameter comprising the width function, and detecting whether the roof parameter meets a first constraint condition;

if the roof parameters meet the first constraint condition, inputting the roof parameters into a first maximization function, outputting to obtain a maximum value of the total row number of the photovoltaic module, and taking the maximum value of the total row number of the photovoltaic module as a first optimal value.

Optionally, the first constraint includes an array total length constraint, and the step of detecting whether the roof parameter meets the first constraint includes:

determining a minimum array row number, a maximum array row number, component spacing, an operation and maintenance channel minimum value, component length and width function in the roof parameters;

determining all array rows from the minimum array row number to the maximum array row number, and calculating the array width of each row of arrays in all array rows according to the component length and the component spacing;

acquiring the preset array quantity of each row of arrays, respectively carrying out vector transposition on the array width and the array quantity, and determining a first product between the array width subjected to the vector transposition and the array quantity subjected to the vector transposition;

calculating the total array number according to the preset array number, determining a first difference value between the total array number and a preset constant, and determining a second product between the first difference value and the minimum operation and maintenance channel;

and if the sum value between the first product and the second product is smaller than or equal to the width function, determining that the roof parameter meets the constraint condition of the total length of the array.

Optionally, the first constraint includes an array length constraint, and the step of detecting whether the roof parameter meets the first constraint includes:

and determining the preset array quantity of each row of arrays in the roof parameter, and if the preset array quantity of each row of arrays is larger than or equal to zero and the preset array quantity is an integer, determining that the roof parameter meets the array length constraint condition.

Optionally, the first constraint includes an operation and maintenance channel constraint, and the step of detecting whether the roof parameter meets the first constraint includes:

and determining the minimum value of the operation and maintenance channel in the roof parameter, and determining that the roof parameter meets the constraint condition of the operation and maintenance channel if the function value of the second maximization function is greater than or equal to the minimum value of the operation and maintenance channel.

Optionally, the step of determining a second optimal value of the second maximization function according to the first constraint and the second constraint comprises:

and if the roof parameters meet the first constraint condition and the second constraint condition at the same time, inputting the roof parameters into a second maximization function, outputting to obtain a maximum value of the operation and maintenance channel, and taking the maximum value of the operation and maintenance channel as a second optimal value, wherein the second constraint condition comprises that the first maximization function is equal to the first optimal value.

Optionally, the step of determining a first maximization function corresponding to the total number of photovoltaic modules in the target roof and determining a second maximization function corresponding to the operation and maintenance channel includes:

setting a first objective function as a first maximized function, wherein the first objective function ismaxf ₁ (X) represents the function value of the first objective function, i ^T Representing the vector transposition of i, N being the minimum array row number, N being the maximum array row number, x _i Representing the preset array number of the ith row of arrays;

setting a second objective function and taking the second objective function as a second maximization function, wherein,the second objective function ismaxf ₂ (X) represents the function value of the second objective function, W represents the width function, c ^T Representing that the vector is transposed for c, wherein c comprises the array width of each row of arrays, sum (X) expresses the element Sum in X, and X comprises the preset array number of each row of arrays after the vector is transposed.

Optionally, the step of determining a width function of the arrangeable area in the target roof comprises:

determining an arrangeable area in a target roof, and constructing a plane rectangular coordinate system by taking a preset position point in the target roof as an original point, taking a line segment parallel to a ridge line in the target roof as a transverse axis and taking a line segment perpendicular to the ridge line as a longitudinal axis;

Determining a straight line parallel to a longitudinal axis in the plane rectangular coordinate system, determining an absolute distance between two intersection points of the straight line and a boundary in the arrangeable region, and constructing a width function of the arrangeable region according to the absolute distance.

Optionally, the step of determining the arrangeable area in the target roof comprises:

determining a total plane graph with a roof outline, and dividing the total plane graph according to a preset dividing line to obtain a target roof;

determining a ratio value between a shadow area of each photovoltaic module and a total area of the modules for each photovoltaic module on the target roof, and deleting the photovoltaic module if the ratio value is smaller than a preset shielding ratio;

and determining an arrangeable area according to all the undeleted photovoltaic modules.

In addition, in order to achieve the above-mentioned purpose, the present application also provides a photovoltaic module arrangement system, including:

the determining module is used for determining a width function of an arrangeable area in the target roof, determining a first maximization function corresponding to the total row number of the photovoltaic modules in the target roof and determining a second maximization function corresponding to the operation and maintenance channel;

the building module is used for determining a first optimal value of the first maximized function according to a first constraint condition corresponding to the first maximized function and a roof parameter, and building a second constraint condition according to the first optimal value, wherein the roof parameter comprises a width function;

A calculation module for determining a second optimal value of the second maximization function according to the first constraint condition and the second constraint condition;

and the arrangement combination module is used for determining the quantity of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and arranging the photovoltaic modules according to the quantity of the photovoltaic modules and the space between the operation and maintenance channels.

In addition, in order to achieve the above object, the present application further provides an electronic device, including: the photovoltaic module arrangement method comprises the steps of a memory, a processor and a photovoltaic module arrangement program which is stored in the memory and can run on the processor, wherein the photovoltaic module arrangement program is executed by the processor to realize the photovoltaic module arrangement method.

In addition, in order to achieve the above object, the present application further provides a computer storage medium, on which a photovoltaic module arrangement program is stored, which when executed by a processor, implements the steps of the photovoltaic module arrangement method described above.

According to the photovoltaic module arranging method, the width function of the arrangeable area in the target roof is firstly determined, the roof parameter is further determined, the first maximization function corresponding to the total row number of the photovoltaic modules is determined, the second maximization function corresponding to the operation and maintenance channels is then determined according to the roof parameter and the first constraint condition, the first optimal value of the first maximization function is then determined according to the first optimal value, the second constraint condition is then constructed according to the first constraint condition and the second constraint condition, the second optimal value of the second maximization function is determined according to the first constraint condition, the number of the photovoltaic modules is determined according to the first optimal value, the operation and maintenance channel spacing is determined according to the number of the photovoltaic modules and the operation and maintenance channel spacing, and the photovoltaic modules are arranged according to the number of the photovoltaic modules and the operation and maintenance channel spacing. Therefore, the first optimal value of the first maximization function can be directly determined according to the first constraint condition, and the maximum photovoltaic module quantity is further determined. And when determining the second optimal value of the second pole maximization function, the first constraint condition and the second constraint condition are required to be met at the same time, so that the phenomenon that the number of arranged photovoltaic modules is not optimal or the space between operation and maintenance channels is too small due to the fact that the photovoltaic modules are directly arranged according to fixed array rows/columns and constraint conditions of specific scenes are not considered when the photovoltaic modules are arranged is avoided. In addition, the number of the photovoltaic modules is determined according to the first optimal value, and the operation and maintenance channel distance is determined according to the second optimal value, so that the arrangement and combination of the photovoltaic modules determined according to the number of the photovoltaic modules and the operation and maintenance channel distance can be realized, the maximum number of the photovoltaic modules can be ensured, the operation and maintenance channel distance is maximized, and the on-site operation and maintenance of the photovoltaic modules by maintenance personnel are facilitated.

Drawings

Fig. 1 is a schematic flow chart of a first embodiment of a photovoltaic module arrangement method according to an embodiment of the present application;

fig. 2 is a schematic view of a scene of an array length of a photovoltaic module arrangement method according to an embodiment of the present application;

fig. 3 is a schematic view of a scene of component arrangement in the photovoltaic component arrangement method according to the embodiment of the present application;

fig. 4 is another schematic view of a scene after component arrangement in the photovoltaic component arrangement method according to the embodiment of the present application;

FIG. 5 is a schematic diagram of determining a width function in a photovoltaic module arrangement method according to an embodiment of the present application;

fig. 6 is a schematic block diagram of a photovoltaic module arrangement system according to an embodiment of the present application;

fig. 7 is a schematic device structure diagram of a hardware operating environment related to the photovoltaic module arrangement method in the embodiment of the present application.

The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.

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 present application.

In embodiments of the present application, the down-draw point may be a down-wall location where the cable is routed from the roof to the ground. The confluence split may be a determination. And determining which inverter the group string belongs to and determining which combiner box/grid-connected point/box transformer the inverter belongs to. In practice, the attribution relation of the group strings is defined by the group string numbers. The orthographic may be an orthoprojected aerial photograph.

In the embodiment of the application, a photovoltaic module arrangement system is provided, and the photovoltaic module arrangement method can be applied to the photovoltaic module arrangement system. In the photovoltaic module arrangement system, a user only needs to review basic information such as a roof, input factory cables and the like, and a complete module arrangement drawing of the photovoltaic module can be output through an algorithm of each function. For example, carrying out orthographic loading, rechecking a roof, analyzing shadows, selecting equipment, selecting an array, pre-arranging, introducing points, formally arranging, extracting a roof, wiring components, converging and dividing, arranging equipment, arranging a bridge, carrying out primary design, carrying out lightning protection and grounding, carrying out other arrangement, washing with water, designing a bracket, carrying out construction drawing, carrying out engineering quantity list and the like.

Optionally, for orthographic loading, an orthographic input by a user is obtained, and overlapped with a factory floor total plan preprocessed by the user, and the factory floor total plan is rechecked by taking the orthographic as a standard, and corresponding roof or obstacle elevation information is determined. And identifying the roof outline on the total plan view aiming at the rechecking roof, and acquiring information such as roof type, cornice elevation, color steel tile type, color steel tile crest interval and the like input by a user. The roof is divided according to a preset dividing line (such as a gutter, an expansion joint or a ridge line), and a slope direction is arranged on the divided roof. For shadow analysis, generating shadows on the overall plan according to a preset shadow algorithm and a preset compass direction. Wherein, the shadow type of the shadow comprises the whole year/winter to the day, if the whole year is selected, the system automatically calculates the real solar time 9 of 22 days a month: 00-15: shadow case of 00 and overlap all results, considered annual shadows. If winter to day is selected, the system automatically calculates the true solar time 9 for 12 months and 22 days: 00-15: shadow case of 00. The system supports a user to set a shielding ratio, in the subsequent component arrangement function, the system automatically calculates the proportion of the shadow area on the photovoltaic component to the total area of the components, if the proportion is larger than the shielding ratio set by the user, the components are regarded as shielding, the components are deleted in the component arrangement function, and if the proportion is smaller than the shielding ratio, the components are determined to have no shadow shielding.

Optionally, aiming at equipment model selection, obtaining the upper limit of the total capacity of the project, the model of the photovoltaic module, the model of the inverter, the upper limit of the capacity ratio of the inverter and the model and the number of the alternative photovoltaic modules, and in the subsequent module arrangement stage, arranging the alternative photovoltaic modules preferentially and arranging the conventional modules on the residual roof. Optionally, for array selection, information such as component arrangement mode (horizontal row/vertical row), array row number, array column number, array transverse spacing, array longitudinal spacing and the like input by a user is obtained. The arrangement of the components is defined in terms of a slope. If the vertical row is selected, the system calculates the maximum even number of series according to the equipment parameters of the equipment selection, and in order to form C strings as much as possible and reduce the number of the group strings in the subsequent component string-connecting stage, the recommended value of the array column number is 0.5 or integral multiple of the maximum even number of series. Similarly, if a row is selected, the recommended number of rows in the array is 0.5 or an integer multiple of the maximum even number of series.

Optionally, for pre-arrangement, power-down and formal arrangement, according to the component arrangement algorithm, the pre-arrangement is performed without considering the upper limit of the total capacity of the project, the maximized arrangement is performed, and the user places the power-down point according to the pre-arrangement result. The project capacity of the formal components is controlled within the upper limit of the total project capacity, and the components are arranged close to the down-leading point preferentially. The formal arrangement is divided into maximized/regular arrangement, and a path of an operation and maintenance channel is preset, wherein the regular arrangement refers to deleting part of the falling list and isolated components on the basis of the maximized arrangement. For roof extraction, a plurality of roofs on the overall plan are extracted and aligned to other areas of the drawing by referring to roof sizes and compass. Because the drawing is a horizontal frame, the correction result ensures that the long side is positioned on the X axis, which is beneficial to the display of drawing information. And aiming at the component string, C strings are prioritized according to a component string algorithm, and are connected in series within the range of the number of the series, so that a component string diagram is generated. Aiming at confluence division, the voltage class and the upper limit information of grid-connected point capacity input by a user are acquired, and the system automatically divides the attribution relation between the group strings and the inverter by referring to slope information through a confluence division algorithm. If isolated or unreasonable string occurs, the system supports the user to adjust the string attribution, and the string is modified through string exchange or attribution adjustment. After the manual adjustment is completed, the system automatically rechecks the converging and dividing result. And acquiring the position of the point of connection set by the user, and connecting each point of connection with the point of connection by adopting a factory cable.

Optionally, for the device layout, acquiring a cable pressure drop upper limit input by a user, and selecting a device alternative area: edge/ridge. According to the equipment layout and cable arrangement algorithm, the system firstly finds out the shortest path from the equipment to the down-lead point, then optimizes the length of the alternating current and direct current cable of the equipment according to the maximum value of the alternating current and direct current voltage drop preset by a user (required by a sponsor), and ensures that the total cost of the cable is minimum while controlling the voltage drop of all the cables to be the maximum value, thereby finding out the optimal layout position of the equipment, generating an equipment layout diagram and a corresponding cable layout diagram, and displaying the shadow of the equipment. For the device layout, component arrangement modification can be generated, and the modification iteration is returned to the previous steps after the current device position is locked. Aiming at bridge arrangement, the filling rate of the cable bridge input by a user is obtained, and a direct current bridge and alternating current bridge arrangement diagram is generated through a bridge algorithm. If the cable needs a bridge size greater than 500 x 100, the system automatically splits a complete bridge into two bridges. If the total weight/total area of the bridge and the cable is less than or equal to the roof load, adopting two treatment methods: splitting the bridge into two bridges with no more than load according to weight, and optimizing according to bridge price; and (5) increasing the length of the bridge bracket until the load is met. Optionally, for the primary design, a primary design drawing is generated according to a primary design algorithm and the algorithm result. And aiming at lightning grounding, generating a lightning grounding map according to a lightning grounding algorithm. For other arrangements, corresponding images are generated according to communication monitoring, fire extinguishers and operation and maintenance channel algorithms. And for water cleaning, generating a water cleaning drawing according to a water cleaning algorithm and different modes selected by referring to the slope direction. Aiming at the bracket design, generating a bracket design drawing according to a bracket design algorithm; and aiming at the construction drawing and the engineering quantity list, the system automatically detects the dimension information of the graphic primitive in the drawing process, automatically matches the type of the drawing frame and the drawing proportion, and supports the matching of the lengthened drawing frame.

Optionally, in this embodiment of the present application, the total photovoltaic module rank may be taken as an example, and a multi-objective planning manner is adopted, so that an optimal solution for maximizing the total photovoltaic module rank in the roof is determined preferentially through integer planning, and then the optimal solution for maximizing the total photovoltaic module rank is added to a constraint condition for maximizing the operation and maintenance channel, thereby achieving satisfactory connection of the total photovoltaic module rank and the operation and maintenance channel maximization. And the largest arrangement combination can be automatically calculated according to the input roof size, and the largest arrangement combination is not indirectly determined in a mode that unreasonable components are deleted according to collision detection of the full-spread components of the plan view. In addition, the embodiment of the application can maximize the distance between the operation and maintenance channels while guaranteeing the maximum number of the components of the photovoltaic modules, so that the operation and maintenance personnel can operate and maintain on site.

Referring to fig. 1, the present application provides a photovoltaic module arrangement method, in a first embodiment of the photovoltaic module arrangement method, the photovoltaic module arrangement method includes:

step S10, determining a width function of an arrangeable area in a target roof, determining a first maximization function corresponding to the total row number of photovoltaic modules in the target roof, and determining a second maximization function corresponding to an operation and maintenance channel;

In this embodiment, the number of photovoltaic modules in the roof photovoltaic power station may be the product between the total number of rows of photovoltaic modules and the total number of columns of photovoltaic modules, and in this embodiment, the total number of rows of photovoltaic modules is exemplified, and a multi-objective planning manner is adopted, so that the maximization of the total number of rows in the roof is considered, and meanwhile, the maximization of the operation and maintenance channel is considered, so that operation and maintenance personnel can pass through the photovoltaic array conveniently. The total column number of the photovoltaic modules can be calculated and determined in the same way as the total column number of the photovoltaic modules is obtained.

Alternatively, a general plan view with roof images may be acquired prior to photovoltaic module placement. The global plan is then preprocessed to determine the image area of the target roof in the global plan (hereinafter referred to as the target roof), and the width function of the arrangeable area in the target roof. Alternatively, the target roof may be shaded to determine a shaded area, from which an arrangeable area is determined. And then constructing a straight line perpendicular to the ridge line, translating, and taking the absolute value distance between two intersection points of the translated straight line and the boundary of the arrangeable area as a width function. Since the straight line can be translated multiple times and there are shadow areas, there will be multiple different absolute distances, i.e. multiple width functions.

step x, setting a first objective function, and taking the first objective function as a first maximized function, wherein the first objective function is thatmaxf ₁ (X) represents the function value of the first objective function, i ^T Representing the vector transposition of i, N being the minimum array row number, N being the maximum array row number, x _i Representing the preset array number of the ith row of arrays;

step y, setting a second objective function, and taking the second objective function as a second maximization function, wherein the second objective function is thatmaxf ₂ (X) represents the function value of the second objective function, W represents the width function, c ^T Representing that the vector is transposed for c, wherein c comprises the array width of each row of arrays, sum (X) expresses the element Sum in X, and X comprises the preset array number of each row of arrays after the vector is transposed.

Alternatively, let n be the smallest number of rows possible for the array, i.e., the smallest number of array rows. N is the maximum number of rows possible for the array, i.e., the maximum number of rows of the array. d is the assembly pitch of the photovoltaic assembly. D (D) _min Is the minimum value of the operation and maintenance channel. h is light Component length of the photovoltaic component. And the width function W can be used as the photovoltaic module safety zone length.

Alternatively, a calculation module of the multi-objective plan can also be constructed, c _n ，c _n+1 ，…，c _N Represents the width of N, n+1, …, N rows of arrays, i.e., the array width of each row of arrays. c _i = (i-1) d+ih, i=n, n+1, …, N, notation c= [ c _n ，c _n+1 ，…，c _N ] ^T ，i＝[n，n+1，…，N] ^T . For example, as shown in FIG. 2, the third row array has an array width c ₃ 。

Optionally, a first objective function corresponding to the total row number of the photovoltaic modules in the target roof may be constructed in advance, and the first objective function is used as a first maximization function, as shown in the following formula one:

optionally, a second objective function corresponding to the operation and maintenance channel when the photovoltaic modules in the target roof are arranged can be constructed in advance, and the second objective function is used as a second maximization function, as shown in the following formula II:

wherein maxf ₁ (X) may represent a first maximization function. maxf ₂ (X) represents a second pole maximization function. W represents a width function. Sum (X) expresses the Sum of elements in vector X. Alternatively, x may be set _n ，x _n+1 ，…，x _N Represents the number of N, n+1, …, N rows of arrays, i.e., the number of arrays. Record x= [ X ] _n ，x _n+1 ，…，x _N ] ^T . Alternatively, T represents vector transposition of elements, such as c ^T The representation is vector transposed of c, i ^T The representation transposes the vector of i.

Step S20, determining a first optimal value of the first maximization function according to a first constraint condition corresponding to the first maximization function and a roof parameter, and constructing a second constraint condition according to the first optimal value, wherein the roof parameter comprises a width function;

optionally, in the arrangement of the photovoltaic modules, it is required to preferentially ensure that the number of the photovoltaic modules is the largest, that is, the total number of the modules is the largest, and then consider to increase the operation and maintenance channels. Thus, to avoid collision of the first maximization function and the second maximization function, the priority of the first maximization function may be set higher than the priority of the second maximization function. Therefore, the first optimal value corresponding to the first maximizing function can be determined first, and then the second maximizing function is operated.

Optionally, before determining the first optimal value, a constraint condition that needs to be met by the first maximization function is constructed, and the constraint condition is used as the first constraint condition. Optionally, the first constraint condition may include an array total length constraint condition that constrains an array total length of the photovoltaic module array, an array length constraint condition that constrains each array length in the photovoltaic module array, and an operation and maintenance channel constraint condition that constrains the operation and maintenance channel. And obtaining roof parameters input by a user, inputting the roof parameters into a first constraint condition for operation to obtain an operation result, and inputting the operation result into a first maximization function to obtain a first optimal value. Optionally, the roof parameters include at least a width function of the arrangeable area. The specific operation step of the first maximization function may be operated by referring to the formula one.

Alternatively, since the first maximization function has a higher priority than the second maximization function, the second constraint may be constructed in dependence on when the first maximization function is equal to the first optimal value.

Step S30, determining a second optimal value of the second maximization function according to the first constraint condition and the second constraint condition;

alternatively, the roof parameters may be input into a second maximization function for operation to obtain a second optimal value. Optionally, the function parameters in the second maximum function meet the first constraint condition and the second constraint condition simultaneously, and on the basis, a second optimal value is obtained according to the roof parameters and the formula II.

And S40, determining the number of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and arranging the photovoltaic modules according to the number of the photovoltaic modules and the space between the operation and maintenance channels.

Optionally, after determining the first optimal value according to the first maximization function, the first optimal value may be used as the total number of rows of the photovoltaic modules, and then the total number of columns of the photovoltaic modules is determined in the same manner, and the number of photovoltaic modules is determined according to the product between the total number of rows of the photovoltaic modules and the total number of columns of the photovoltaic modules. After determining the second optimal value according to the second maximization function, the second optimal value can be directly used as the space between operation and maintenance channels, the arrangement combination of the photovoltaic modules can be constructed based on the number of the photovoltaic modules, the space between the operation and maintenance channels and roof parameters meeting the first constraint condition and the second constraint condition, and the arrangement combination is output in an image or drawing mode, so that the arrangement of the photovoltaic modules is carried out. For example, as shown in fig. 3, operation and maintenance channels are set in the arrangement combination of the photovoltaic modules, and the total number of rows and the total number of columns of the photovoltaic modules are determined. And then, arranging according to the arrangement mode of the photovoltaic modules in the embodiment of the application, so as to obtain a final result shown in fig. 4.

In this embodiment, the width function of the arrangeable area in the target roof is determined, the roof parameter is further determined, the first maximization function corresponding to the total row number of the photovoltaic modules is determined, the second maximization function corresponding to the operation and maintenance channels is determined, then the first optimal value of the first maximization function is determined according to the roof parameter and the first constraint condition, the second constraint condition is constructed according to the first optimal value, the second optimal value of the second maximization function is determined according to the first constraint condition and the second constraint condition, the number of the photovoltaic modules is determined according to the first optimal value, the distance between the operation and maintenance channels is determined according to the number of the photovoltaic modules and the distance between the operation and maintenance channels, and the photovoltaic modules are arranged according to the number of the photovoltaic modules and the distance between the operation and maintenance channels. Therefore, the first optimal value of the first maximization function can be directly determined according to the first constraint condition, and the maximum photovoltaic module quantity is further determined. And when determining the second optimal value of the second pole maximization function, the first constraint condition and the second constraint condition are required to be met at the same time, so that the phenomenon that the number of arranged photovoltaic modules is not optimal or the space between operation and maintenance channels is too small due to the fact that the photovoltaic modules are directly arranged according to fixed array rows/columns and constraint conditions of specific scenes are not considered when the photovoltaic modules are arranged is avoided. In addition, the number of the photovoltaic modules is determined according to the first optimal value, and the operation and maintenance channel distance is determined according to the second optimal value, so that the arrangement and combination of the photovoltaic modules determined according to the number of the photovoltaic modules and the operation and maintenance channel distance can be realized, the maximum number of the photovoltaic modules can be ensured, the operation and maintenance channel distance is maximized, and the on-site operation and maintenance of the photovoltaic modules by maintenance personnel are facilitated.

Further, based on the above first embodiment, a second embodiment of the photovoltaic module arrangement method of the present application is proposed, in which the above step S20 is specifically described.

Further, the step of determining a first optimal value of the first maximization function according to a first constraint condition and a roof parameter corresponding to the first maximization function includes:

step a, determining roof parameters comprising the width function, and detecting whether the roof parameters meet a first constraint condition;

and b, if the roof parameters meet the first constraint condition, inputting the roof parameters into a first maximization function, outputting the maximum value of the total number of rows of the photovoltaic module, and taking the maximum value of the total number of rows of the photovoltaic module as a first optimal value.

In this embodiment, it is necessary to determine all roof parameters including at least the width function. Such as roof parameters including minimum array rows, maximum array rows, component spacing, minimum operational channel values, component lengths, etc. And then checking whether the roof parameters meet the first constraint. If the roof parameters do not meet the first constraint conditions, updating and adjusting the roof parameters until the adjusted roof parameters meet the first constraint conditions. If the roof parameters meet the first constraint conditions, the total photovoltaic module arrangement number of the photovoltaic modules needing to be arranged on the target roof can be determined subsequently according to the roof parameters. Alternatively, the roof parameter may be input to a first maximization function for calculation, and the maximum value of the total number of rows of the photovoltaic module is obtained by output, and the maximum value of the total number of rows of the photovoltaic module is used as the first optimal value.

In this embodiment, by determining the roof parameter and inputting the roof parameter into the first maximization function under the condition that the roof parameter meets the first constraint condition, the first optimal value is determined according to the output result, so that the effectiveness of the determined first optimal value is ensured, that is, the optimal number of photovoltaic modules is ensured when the photovoltaic module arrangement is performed.

Further, the first constraint includes an array total length constraint, and the step of detecting whether the roof parameter satisfies the first constraint includes:

step c, determining the minimum array row number, the maximum array row number, the component spacing, the minimum value of the operation and maintenance channel, the component length and the width function in the roof parameters;

step d, determining all array rows from the minimum array row number to the maximum array row number, and calculating the array width of each row of arrays in all array rows according to the component length and the component spacing;

step e, acquiring the preset array quantity of each row of arrays, respectively performing vector transposition on the array width and the array quantity, and determining a first product between the array width subjected to the vector transposition and the array quantity subjected to the vector transposition;

F, calculating the total array number according to the preset array number, determining a first difference value between the total array number and a preset constant, and determining a second product between the first difference value and the minimum operation and maintenance channel;

and g, if the sum value between the first product and the second product is smaller than or equal to the width function, determining that the roof parameter meets the array total length constraint condition.

In this embodiment, the roof parameters of the target roof may be user inputsOr the device may be automatically acquired by applying the embodiment of the application, which is not limited herein. Optionally, the number of rows between the minimum number of rows and the maximum number of rows is counted, for example, if the minimum number of rows is 1 and the maximum number of rows is 3, the number of rows is 1,2,3. Alternatively, the component pitch, component length, and array rank may be input to equation c _i Calculation in = (i-1) d+ih, to obtain array width of each row of array, such as array width of n rows of array.

Alternatively, a constraint function corresponding to the total length constraint of the array may be set, as shown in equation three below,

c ^T X+D _min [sum(X)-1]w is less than or equal to W (formula III);

wherein c ^T X+D _min [sum(X)-1]May be the total length of the array, W is a width function. sum (X) may be the total number of arrays corresponding to the photovoltaic module array to be constructed.

Optionally, when determining the constraint condition of the total array length, vector transposition may be performed on the determined number of arrays and array width of each row of arrays, to obtain the array width and the array number after the vector transposition. The number of arrays in each row of arrays may be set in advance by a user, or may be set according to other rules. And determining the total length of the array according to the formula III, the total array number corresponding to the photovoltaic module array to be constructed, the array parameters and the preset minimum value of the operation and maintenance channels. That is, the first product calculated in step e and the second product calculated in step f are added to obtain the total length of the array. And then determining whether the total length of the array is less than or equal to the width function. Optionally, the photovoltaic module mounting area length is a value calculated as a function of width. Therefore, whether the total length of the array is smaller than or equal to the length of the photovoltaic module mounting area or the total length of the array is smaller than or equal to the width function can be judged, and then the roof parameter can be determined to meet the constraint condition of the total length of the array. Otherwise, determining that the roof parameters do not meet the total length constraint condition of the array, and adjusting until the roof parameters meet the total length constraint condition of the array.

In this embodiment, when the first constraint condition includes an array total length constraint condition, the calculation is performed according to the determined roof parameter to determine the array total length, and when the array total length is smaller than or equal to the width function, it is determined that the roof parameter meets the array total length constraint condition, so as to ensure the effectiveness of the array total length.

Further, the first constraint includes an array length constraint, and the step of detecting whether the roof parameter satisfies the first constraint includes:

and h, determining the preset array number of each row of arrays in the roof parameter, and if the preset array number of each row of arrays is greater than or equal to zero and the preset array number is an integer, determining that the roof parameter meets the array length constraint condition.

Alternatively, each array length in the photovoltaic module may be constrained. I.e. the number of arrays per row of arrays may be constrained. That is, a constraint function corresponding to each array length constraint condition may be set, as shown in the following formula four.

x _i 0, and is an integer, i=n, n+1, …, N (formula four);

alternatively, the number of arrays per row of arrays set in advance in the roof parameter may be determined first and used as the preset number of arrays. And constraining the preset array quantity of each row of arrays, and detecting whether the preset array quantity is an integer greater than or equal to zero. And when the number of the preset arrays of each row of arrays is greater than or equal to zero and is an integer, determining that the roof parameters meet the array length constraint condition.

In this embodiment, when the first constraint condition includes an array length constraint condition, if the number of arrays in each row of arrays in the roof parameter is greater than or equal to zero and is an integer, it is determined that the roof parameter meets the array length constraint condition, so that the effectiveness of the determined array length is ensured.

Further, the first constraint includes an operation and maintenance channel constraint, and the step of detecting whether the roof parameter meets the first constraint includes:

and i, determining the minimum value of the operation and maintenance channel in the roof parameter, and if the function value of the second maximization function is greater than or equal to the minimum value of the operation and maintenance channel, determining that the roof parameter meets the constraint condition of the operation and maintenance channel.

In this embodiment, a corresponding constraint condition may be set for the operation and maintenance channel, so that a constraint function corresponding to the constraint condition of the operation and maintenance channel may be set, as shown in the following formula five.

Alternatively, the minimum value of the operation and maintenance channels in the roof parameters can be determined, wherein the operation and maintenance channel with the minimum distance which can be normally passed by an operation and maintenance person can be set in advance, and the minimum distance is taken as the minimum value of the operation and maintenance channels. And then detecting whether an operation and maintenance channel value obtained by inputting the roof parameters into a second maximization function for operation is larger than or equal to an operation and maintenance channel minimum value, and if so, determining that the roof parameters meet the operation and maintenance channel constraint conditions. If not, determining that the roof parameters do not meet the operation and maintenance channel constraint conditions, and adjusting the roof parameters until the roof parameters meet the operation and maintenance channel constraint conditions.

In this embodiment, when the first constraint condition includes an operation and maintenance channel constraint condition and the function value of the second maximization function is greater than or equal to the minimum value of the operation and maintenance channel, it is determined that the roof parameter meets the operation and maintenance channel constraint condition, so that the effectiveness of the operation and maintenance channel is guaranteed.

Further, the step of constructing a second constraint according to the first optimal value includes:

and constructing a second constraint condition according to the first optimal value and the first maximized function, wherein the second constraint condition comprises that the first maximized function is equal to the first optimal value.

In this embodiment, when determining the first optimal value of the first maximization function, the first maximization function may be equal to the first optimal value as the second constraint condition.

Alternatively, if the first constraint includes an array total length constraint, an array length constraint, and an operation and maintenance channel constraint, then the model forming a multi-objective planning class may be described as follows:

min{f ₁ (x),f ₂ (x)}；

in this embodiment, the first maximization function is equal to the first optimal value as the second constraint condition, so that the priority of the first maximization function is guaranteed to be higher than that of the second maximization function, and the operation and maintenance channel spacing is maximized under the condition that the number of photovoltaic modules is optimal in a subsequent implementation.

Further, based on the first or second embodiment, a third embodiment of the photovoltaic module arrangement method of the present application is provided, in which step S30, the step of determining the second optimal value of the second polarization maximization function according to the first constraint condition and the second constraint condition includes:

and j, if the roof parameters meet the first constraint condition and the second constraint condition at the same time, inputting the roof parameters into a second maximization function, outputting to obtain a maximum value of an operation and maintenance channel, and taking the maximum value of the operation and maintenance channel as a second optimal value, wherein the second constraint condition comprises that the first maximization function is equal to the first optimal value.

In this embodiment, after determining the first optimal value and taking the first maximization function as the second constraint condition, the roof parameters of the target building, such as the minimum array row number, the maximum array row number, the component spacing, the minimum value of the operation and maintenance channel, the component length and width functions, etc., may be obtained. And sequentially inputting the minimum array row number, the maximum array row number, the component spacing, the minimum value of the operation and maintenance channel, the component length and the width function into the first constraint condition and the second constraint condition to determine whether the roof parameter meets the first constraint condition and the second constraint condition at the same time. If the first constraint condition and the second constraint condition are met at the same time, inputting the roof parameter into a second maximization function, outputting a maximum value of the operation and maintenance channel, and taking the maximum value as a second optimal value.

For example, if the target roof with a south slope is taken as an example, 1 is set as the minimum array row number, 3 is set as the maximum array row number, 20 is the component pitch, 500 is the minimum value of the operation and maintenance channel, 2384 is the component length, and the length (i.e., width function) of the photovoltaic component mounting area is 34830.

The first optimal value, i.e., f, can be calculated using the above-described formulas one, three, four, and five ₁ (x) =13. Then f is carried out ₁ (x) =13 as a second constraint, combining the first, third, fourth and fifth formulas, and calculating the second formula to obtain a second optimal value, i.e. f ₂ (x)＝919.5。

In this embodiment, when the roof parameter satisfies a constraint condition and a second constraint condition, the roof parameter is input into the second maximization function to perform operation, and the second optimal value is obtained by outputting, so that the validity of the obtained second optimal value is ensured.

Further, the step of determining a width function of the arrangeable area in the target roof includes:

step n, determining an arrangeable area in a target roof, and constructing a plane rectangular coordinate system by taking a preset position point in the target roof as an original point, taking a line segment parallel to a ridge line in the target roof as a transverse axis and taking a line segment perpendicular to the ridge line as a longitudinal axis;

And step o, determining a straight line parallel to a longitudinal axis in the plane rectangular coordinate system, determining an absolute distance between two intersection points of the straight line and a boundary in the arrangeable area, and constructing a width function of the arrangeable area according to the absolute distance.

In this embodiment, it is possible to first determine a general plan view with a roof and determine the profile of the roof in the roof, dividing the roof into a south slope and a north slope according to the ridge line, i.e. a roof sloping south and a roof sloping north. Wherein the target roof is a roof with a slope of south slope or a roof with a slope of north slope. The preset position point in the target roof can be set according to the requirements of the user, and in this embodiment, only the lower left corner of the roof is taken as the origin for illustration.

Optionally, the arrangeable area in the target roof is determined, and a coordinate system is built in the target roof, for example, when the target roof is a roof with a slope direction being a south slope, a plane rectangular coordinate system can be built by taking the lower left corner of the roof as an origin, the east-west direction as an x axis and the north-south direction as a y axis. Then a straight line parallel to the longitudinal axis is constructed, and the width function W is determined by the absolute distance between the two points of intersection of the straight line and the boundary of the arrangeable region. For example, as shown in fig. 5, the profile of the roof may be determined in a general plan view and divided by ridge lines to obtain a roof sloping south and a roof sloping north. Taking a roof with a slope direction being a south slope as a target roof for illustration, determining a shadow area in the target roof, further determining that the target roof can be arranged, taking the left lower corner of the roof as an original point, taking the east-west direction as an x axis and the north-south direction as a y axis, establishing a plane rectangular coordinate system, constructing a straight line parallel to a longitudinal axis, and determining a width function W through an absolute value distance between two intersection points of the straight line and a boundary of the arrangeable area. Namely:

In this embodiment, by determining the arrangeable area of the target roof and constructing a rectangular planar coordinate system, determining a straight line parallel to the longitudinal axis, and constructing a width function according to the absolute value distance between two intersection points where the straight line intersects with the boundary in the arrangeable area, the effectiveness of the obtained width function is further ensured.

Further, the step of determining an arrangeable area in the target roof includes:

step p, determining a total plane graph with a roof outline, and dividing the total plane graph according to a preset dividing line to obtain a target roof;

q, determining a proportion value between the shadow area of the photovoltaic module and the total area of the modules for each photovoltaic module on the target roof, and deleting the photovoltaic module if the proportion value is smaller than a preset shielding ratio;

and step w, determining an arrangeable area according to all the undeleted photovoltaic modules.

In this embodiment, when determining the arrangeable area of the target roof, a total plan view with a roof profile is determined, and can be checked by the orthographic view, then the roof profile area in the total plan view is determined, and the roof profile area in the total plan view is divided by a preset dividing line, so as to obtain a roof with a slope direction being a south slope and a roof with a slope direction being a north slope. Wherein the target roof is a roof with a slope of south slope or a roof with a slope of north slope. Wherein the parting line may be a ridge line.

Optionally, shadow analysis is performed for the roof, and the shadow areas are deleted, resulting in an arrangeable area. Optionally, the target roof may be first covered with the photovoltaic modules, and then a ratio value between the shadow area of each photovoltaic module and the total area of the modules may be determined according to a preset shadow algorithm, and if the ratio value is smaller than a preset shielding ratio, the photovoltaic module is determined to be a shadow area, and the photovoltaic module is deleted. And if the proportion value is larger than the preset shielding ratio, determining that the area can be arranged. And after shadow analysis is carried out on all the photovoltaic modules on the target roof, taking the area formed by constructing all the photovoltaic modules which are not deleted in the target roof as a target arrangeable area.

In this embodiment, the outline of the total plan view with the outline of the roof is divided to obtain the target roof, then the shadow area is determined according to the ratio value between the shadow area of the photovoltaic module and the total area of the module, and then the shadow area is deleted to obtain the arrangeable area, so that the effectiveness of the determined arrangeable area is ensured.

In addition, in order to achieve the above object, referring to fig. 6, an embodiment of the present application further provides a photovoltaic module arrangement system, including:

The determining module A10 is used for determining a width function of an arrangeable area in the target roof, determining a first maximization function corresponding to the total row number of the photovoltaic modules in the target roof and determining a second maximization function corresponding to the operation and maintenance channel;

a construction module a20, configured to determine a first optimal value of the first maximization function according to a first constraint condition corresponding to the first maximization function and a roof parameter, and construct a second constraint condition according to the first optimal value, where the roof parameter includes a width function;

a calculation module a30, configured to determine a second optimal value of the second maximization function according to the first constraint condition and the second constraint condition;

and the arrangement combination module A40 is used for determining the quantity of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and arranging the photovoltaic modules according to the quantity of the photovoltaic modules and the space between the operation and maintenance channels.

Further, a construction module a20 is configured to:

Further, the first constraint includes an array total length constraint, a building block a20 for:

Further, the first constraint includes an array length constraint, a building block a20 for:

Further, the first constraint includes an operation and maintenance channel constraint, and a construction module a20 is configured to:

Further, the computing module a30 is configured to:

Further, the determining module a10 is configured to:

setting a first objective function as a first maximized function, wherein the first objective function is maxf ₁ (X) represents the function value of the first objective function, i ^T Representing the vector transposition of i, N being the minimum array row number, N being the maximum array row number, x _i Representing the preset array number of the ith row of arrays;

setting a second objective function as a second maximization function, wherein the second objective function is thatmaxf ₂ (X) represents the function value of the second objective function, W represents the width function, c ^T Representing that the vector is transposed for c, wherein c comprises the array width of each row of arrays, sum (X) expresses the element Sum in X, and X comprises the preset array number of each row of arrays after the vector is transposed.

Further, the determining module a10 is configured to:

In addition, the specific implementation manner of the photovoltaic module arrangement system is basically the same as that of each embodiment of the photovoltaic module arrangement method, and is not repeated here.

In addition, the application also provides electronic equipment, which comprises a memory, a processor and a photovoltaic module arrangement program stored on the memory and capable of running on the processor, wherein the photovoltaic module arrangement program realizes the steps of the photovoltaic module arrangement method when being executed by the processor.

In addition, in an embodiment, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where, as shown in fig. 7, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory at a hardware level. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services. The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Ind ustry Standa rd Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one double-headed arrow is shown in the figures, but not only one bus or one type of bus. And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs, forming the shared resource access control device on a logic level. And the processor is used for executing the program stored in the memory and particularly used for executing the steps of the photovoltaic module arrangement method.

The specific implementation manner of the electronic device is basically the same as that of each embodiment of the photovoltaic module arrangement method, and is not repeated here.

In addition, in order to achieve the above objective, the present application further provides a computer storage medium, including a computer readable storage medium, on which a photovoltaic module arrangement program is stored, which when executed by a processor, implements the steps of the photovoltaic module arrangement method described above.

The specific implementation manner of the computer readable storage medium is basically the same as the above embodiments of the photovoltaic module arrangement method, and is not repeated here.

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 described in 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 claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.

Claims

1. The photovoltaic module arrangement method is characterized by comprising the following steps of:

2. The photovoltaic module arrangement method according to claim 1, wherein the step of determining the first optimal value of the first maximization function according to the first constraint condition and the roof parameter corresponding to the first maximization function includes:

3. The photovoltaic module arrangement of claim 2, wherein the first constraint comprises an array total length constraint, and the step of detecting whether the roof parameter satisfies the first constraint comprises:

4. The photovoltaic module arrangement method according to claim 2, wherein the first constraint includes an array length constraint, and the step of detecting whether the roof parameter satisfies the first constraint includes:

5. The photovoltaic module arrangement method according to claim 2, wherein the first constraint condition includes an operation and maintenance channel constraint condition, and the step of detecting whether the roof parameter satisfies the first constraint condition includes:

6. The photovoltaic module arrangement method according to claim 1, wherein the step of determining the second optimal value of the second pole maximization function according to the first constraint condition and the second constraint condition includes:

7. The photovoltaic module arrangement method according to claim 1, wherein the step of determining a first maximization function corresponding to the total number of photovoltaic modules in the target roof and determining a second maximization function corresponding to the operation and maintenance channel comprises:

setting a second objective function as a second maximization function, wherein the second objective function is thatmaxf ₂ (X) represents the function value of the second objective function, W represents the width function, c ^T Represent the pair cThe row vector transpose, c, comprises the array width of each row of arrays, sum (X) expresses the Sum of elements in X, and X comprises the preset number of arrays of each row of arrays after vector transposition.

8. The photovoltaic module arrangement method according to claim 1, wherein the step of determining a width function of the arrangeable area in the target roof comprises:

9. The photovoltaic module arrangement method of claim 8, wherein the step of determining an arrangeable area in a target roof comprises:

10. The utility model provides a photovoltaic module system of arranging which characterized in that, photovoltaic module system of arranging includes:

and the arrangement combination module is used for determining the quantity of the photovoltaic modules according to the first optimal value, determining the space between the operation and maintenance channels according to the second optimal value, and arranging the photovoltaic modules between the photovoltaic modules according to the quantity of the photovoltaic modules and the operation and maintenance channels.

11. An electronic device, the electronic device comprising: the photovoltaic module arrangement method according to any one of claims 1 to 9, comprising a memory, a processor and a photovoltaic module arrangement program stored on the memory and operable on the processor, which when executed by the processor, implements the steps of the photovoltaic module arrangement method.

12. A computer storage medium, wherein a photovoltaic module arrangement program is stored on the computer storage medium, which when executed by a processor, implements the steps of the photovoltaic module arrangement method according to any one of claims 1 to 9.