Photovoltaic array arrangement method, device and equipment based on medium-voltage direct-on-grid inverter

Abstract

This application relates to the field of photovoltaic system optimization design technology, and in particular to a photovoltaic array arrangement method, apparatus, and equipment based on medium-voltage direct-connected inverters. The method includes: determining the shadow range of the photovoltaic array at a preset time; calculating the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between their center points in the column direction based on the shadow range, thereby generating an initial arrangement strategy for the photovoltaic array; iteratively optimizing the initial arrangement strategy to obtain the optimal arrangement strategy; and determining the optimal placement position of the medium-voltage direct-connected inverters in the optimal arrangement strategy based on the optimal arrangement constraints, so as to arrange the medium-voltage direct-connected inverters according to the optimal placement position. This solves the problems of high computational complexity in cable arrangement methods in related technologies, which cannot meet the arrangement requirements of medium-voltage direct-connected inverters, and do not integrate cable current carrying capacity and voltage drop verification, thus affecting the wiring length and specifications of DC cables.

Description

Technical Field

[0001] This application relates to the field of photovoltaic system optimization design technology, and in particular to a photovoltaic array arrangement method, device and equipment based on a medium-voltage direct-connected inverter. Background Technology

[0002] Against the backdrop of "carbon neutrality" becoming a global issue, the construction of large-scale new energy bases, focusing on desert, Gobi, and arid regions, is accelerating. Photovoltaic power generation technology, as one of the important components, is undergoing rapid technological innovation. With the technological advancement of high-power power electronic devices and the increasing penetration rate of high-frequency transformers in power systems, medium-voltage direct-connected photovoltaic inverters based on cascaded topologies of modular multilevel converters have been widely studied and technically applied in the industry in recent years due to their high conversion efficiency, high power density, and high redundancy.

[0003] In related technologies, the traditional photovoltaic system architecture mainly involves three stages: "photovoltaic string (DC) - photovoltaic inverter (DC / AC) - power frequency step-up transformer (AC / AC)". The design of the photovoltaic array mainly includes the layout of facilities and equipment such as photovoltaic strings, photovoltaic inverters, power frequency step-up transformers and cable routes. In the layout process, manual methods are mainly used, that is, considering the number of photovoltaic strings, latitude and longitude, photovoltaic array tilt angle, azimuth angle, array configuration and other conditions to minimize the wiring length.

[0004] However, to avoid mutual shading of photovoltaic arrays, it is necessary to obtain the layout boundary based on a large number of complex calculations and parameter iterations. Since there are many correlations between parameters, the complexity of the calculation will increase and the layout efficiency will be reduced. Moreover, the existing layout method cannot meet the layout requirements of medium-voltage direct-connected photovoltaic inverters, and it does not integrate cable current carrying capacity and voltage drop verification, and cannot distinguish and count cable models, thus affecting the wiring length and specifications of DC cables. This needs to be solved urgently. Summary of the Invention

[0005] This application provides a photovoltaic array arrangement method, apparatus, and equipment based on a medium-voltage direct-connected inverter to solve the problems in related technologies where cable arrangement methods have high computational complexity, cannot meet the arrangement requirements of medium-voltage direct-connected inverters, and do not integrate cable current carrying capacity and voltage drop verification, thus affecting the wiring length and specifications of DC cables.

[0006] The first aspect of this application provides a method for arranging a photovoltaic array based on a medium-voltage direct-connected inverter, the method comprising:

[0007] Determine the shadow range of the photovoltaic array at a preset time;

[0008] The horizontal distance between the center points of adjacent photovoltaic strings in the row direction and the vertical distance between the center points of adjacent photovoltaic strings in the column direction are calculated based on the shaded area. An initial layout strategy for the photovoltaic array is generated based on the horizontal and vertical distances between the center points.

[0009] The initial layout strategy of the photovoltaic array is iteratively optimized to obtain the optimal layout strategy of the photovoltaic array. Based on the optimal layout constraints, the optimal layout position of the medium-voltage direct-connected inverter in the optimal layout strategy of the photovoltaic array is determined, so as to arrange the medium-voltage direct-connected inverter according to the optimal layout position.

[0010] Optionally, in one embodiment of this application, determining the shadow range of the photovoltaic array at the preset time includes:

[0011] Obtain the current longitude and latitude information of the photovoltaic array;

[0012] The solar hour angle of the photovoltaic array is obtained based on its current longitude information, and the solar declination angle of the photovoltaic array is obtained based on the number of days in a year.

[0013] The solar altitude angle and solar azimuth angle of the photovoltaic array are obtained based on the latitude information, the solar hour angle and the solar declination angle, and the shadow occlusion coefficient of the photovoltaic array in the preset direction is obtained based on the solar altitude angle and the solar azimuth angle.

[0014] The shadow range of the photovoltaic array at the preset time is determined based on the shadow shading coefficient of the photovoltaic array in the preset direction.

[0015] Optionally, in one embodiment of this application, calculating the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction based on the shaded area includes:

[0016] The first net spacing between adjacent photovoltaic strings in the row direction is determined based on the size of the photovoltaic string, and the lateral distance between the center points of the adjacent photovoltaic strings in the row direction is obtained according to the size of the photovoltaic string and the first net spacing.

[0017] The projected length of the inclined surface of the photovoltaic string is determined based on the first installation tilt angle of the photovoltaic string and the length of the inclined surface of the photovoltaic string.

[0018] The second net spacing between adjacent photovoltaic strings in the column direction is determined based on the second installation tilt angle of the photovoltaic string, the tilt surface length of the photovoltaic string, and the shading coefficient in the preset direction.

[0019] The longitudinal distance between the center points of adjacent photovoltaic strings in the column direction is obtained based on the projected length of the inclined surface of the photovoltaic string and the second net spacing.

[0020] Optionally, in one embodiment of this application, after iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, the method further includes:

[0021] Determine the number of the first photovoltaic group strings in the row direction and the number of the second photovoltaic group strings in the column direction of the photovoltaic array;

[0022] If both the number of strings in the first photovoltaic array and the number of strings in the second photovoltaic array are odd, then the optimal arrangement position of the medium-voltage direct-connected inverter is determined based on the number of strings in the first photovoltaic array and the number of strings in the second photovoltaic array.

[0023] If the number of the first photovoltaic array strings is even, then add a column in the row direction where the number of the first photovoltaic array strings is located to obtain a new number of the first photovoltaic array strings in the row direction;

[0024] If the number of strings in the second photovoltaic array is even, then add a row in the column direction where the number of strings in the second photovoltaic array is located to obtain a new number of strings in the second photovoltaic array in the column direction;

[0025] The optimal arrangement position of the medium-voltage direct-connected inverter is determined based on the number of photovoltaic strings in the new row direction and the number of photovoltaic strings in the new column direction.

[0026] Optionally, in one embodiment of this application, after arranging the medium-voltage direct-connected inverter according to the optimal arrangement location, the method further includes:

[0027] The increase in the number of photovoltaic strings in the photovoltaic array is obtained, and the photovoltaic string that is furthest from the optimal arrangement position of the medium-voltage direct-connected inverter is deleted based on the increase, so as to obtain the final photovoltaic array based on the medium-voltage direct-connected inverter.

[0028] A second aspect of this application provides a photovoltaic array arrangement device based on a medium-voltage direct-connected inverter, comprising:

[0029] The determination module is used to determine the shadow range of the photovoltaic array at a preset time.

[0030] The generation module is used to calculate the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction based on the shadow range, and to generate an initial layout strategy for the photovoltaic array based on the lateral distance between the center points and the longitudinal distance between the center points.

[0031] The arrangement module is used to iteratively optimize the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, and determine the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy of the photovoltaic array based on the optimal arrangement constraints, so as to arrange the medium-voltage direct-connected inverter according to the optimal arrangement position.

[0032] Optionally, in one embodiment of this application, the determining module includes:

[0033] The first acquisition unit is used to acquire the longitude and latitude information of the photovoltaic array at its current location;

[0034] The second acquisition unit is used to obtain the solar hour angle of the photovoltaic array based on the longitude information of the photovoltaic array, and to obtain the solar declination angle of the photovoltaic array based on the number of days in a year.

[0035] The third acquisition unit is used to obtain the solar altitude angle and solar azimuth angle of the photovoltaic array at the current location based on the latitude information, the solar hour angle and the solar declination angle, and to obtain the shadow occlusion coefficient of the photovoltaic array in the preset direction based on the solar altitude angle and the solar azimuth angle.

[0036] The first determining unit is used to determine the shadow range of the photovoltaic array at the preset time based on the shadow shading coefficient of the photovoltaic array in the preset direction.

[0037] Optionally, in one embodiment of this application, the generation module includes:

[0038] The fourth acquisition unit is used to determine the first net spacing between adjacent photovoltaic strings in the row direction based on the size of the photovoltaic string, and to obtain the lateral distance between the center points of the adjacent photovoltaic strings in the row direction according to the size of the photovoltaic string and the first net spacing.

[0039] The second determining unit is used to determine the projected length of the inclined surface of the photovoltaic string based on the first installation tilt angle of the photovoltaic string and the length of the inclined surface of the photovoltaic string;

[0040] The third determining unit is used to determine the second net spacing in the column direction between adjacent photovoltaic strings based on the second installation tilt angle of the photovoltaic string, the tilt surface length of the photovoltaic string and the shading coefficient in the preset direction;

[0041] The fifth acquisition unit is used to obtain the longitudinal distance between the center points of the adjacent photovoltaic strings in the column direction based on the projected length of the inclined surface of the photovoltaic string and the second net spacing.

[0042] Optionally, in one embodiment of this application, after iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, the arrangement module further includes:

[0043] The judgment unit is used to determine the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array.

[0044] The fourth determining unit is used to determine the optimal arrangement position of the medium-voltage direct-connected inverter based on the number of the first photovoltaic string and the number of the second photovoltaic string if both are odd numbers.

[0045] The sixth acquisition unit is used to add a column in the row direction where the first photovoltaic string number is located if the first photovoltaic string number is even, so as to obtain a new first photovoltaic string number in the row direction;

[0046] The seventh acquisition unit is used to add a row in the column direction where the second photovoltaic string number is located if the second photovoltaic string number is even, so as to obtain a new second photovoltaic string number in the column direction;

[0047] The fifth determining unit is used to determine the optimal arrangement position of the medium-voltage direct-connected inverter based on the number of first photovoltaic strings in the new row direction and the number of second photovoltaic strings in the new column direction.

[0048] Optionally, in one embodiment of this application, after arranging the medium-voltage direct-connected inverter according to the optimal arrangement location, the arrangement module further includes:

[0049] An adjustment unit is used to obtain the increase in the number of photovoltaic strings in the photovoltaic array, and delete the photovoltaic string that is furthest from the optimal arrangement position of the medium-voltage direct-connected inverter based on the increase, so as to obtain the final photovoltaic array based on the medium-voltage direct-connected inverter.

[0050] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the photovoltaic array arrangement method based on a medium-voltage direct-connected inverter as described in the preceding claims.

[0051] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the photovoltaic array arrangement method based on a medium-voltage direct-connected inverter as described in the preceding claims.

[0052] The fifth aspect of this application provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the photovoltaic array arrangement method based on a medium-voltage direct-connected inverter as described above.

[0053] Therefore, this application has at least the following beneficial effects:

[0054] (1) Based on the current latitude and longitude, the number of photovoltaic strings connected, the installation tilt angle of the photovoltaic strings, the string arrangement and other design boundaries, this application obtains the comprehensive optimal photovoltaic array design result, so as to obtain the optimal arrangement position of the medium voltage direct-connected inverter, which greatly simplifies the difficulty of photovoltaic array optimization and reduces the number of iterations of optimization.

[0055] (2) This application combines medium-voltage direct-connected inverter with photovoltaic system design, and optimizes the layout of photovoltaic strings and medium-voltage direct-connected inverter in a coordinated manner, simplifying the wiring length of DC cable and making the DC cable length the shortest, which provides a basis for the feasibility of applying medium-voltage direct-connected inverter in photovoltaic system design. At the same time, this automated design and layout method also improves the efficiency of engineering design.

[0056] (3) This application can be widely applied to various design needs based on actual engineering conditions, filling technical gaps. Under any given conditions such as the number of photovoltaic strings and the installation tilt angle of the photovoltaic strings, the optimal photovoltaic array layout can be obtained.

[0057] (4) This application applies to the use of medium-voltage direct-connected photovoltaic inverters, i.e. power electronic transformers, which can complete the conversion of AC and DC and voltage levels through one device, i.e. "photovoltaic string (DC) - medium-voltage direct-connected photovoltaic inverter (AC)", and the photovoltaic array obtained by using the medium-voltage direct-connected photovoltaic inverter uses only DC cables to reduce energy conversion losses.

[0058] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0059] Figure 1 This is a flowchart illustrating a photovoltaic array arrangement method based on a medium-voltage direct-connected inverter, according to an embodiment of this application.

[0060] Figure 2 This is a flowchart illustrating the overall design and layout of a photovoltaic array based on a medium-voltage direct-connected photovoltaic inverter according to one embodiment of this application.

[0061] Figure 3 This is a schematic diagram showing the lateral distance between the center points of a photovoltaic string according to an embodiment of this application;

[0062] Figure 4 This is a projected view of the tilted surface of a photovoltaic string according to an embodiment of this application;

[0063] Figure 5 This is a structural diagram of a photovoltaic system based on a medium-voltage direct-connected photovoltaic inverter according to an embodiment of this application;

[0064] Figure 6 This is a block diagram of a photovoltaic array arrangement device based on a medium-voltage direct-connected inverter according to an embodiment of this application;

[0065] Figure 7 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0066] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0067] The following describes a photovoltaic array arrangement method, apparatus, and equipment based on a medium-voltage direct-connected inverter according to embodiments of this application, with reference to the accompanying drawings. Addressing the issues of high computational complexity in cable arrangement methods mentioned in the background art, which fail to meet the arrangement requirements of medium-voltage direct-connected inverters and lack integrated verification of cable current carrying capacity and voltage drop, thus affecting the wiring length and specifications of DC cables, this application provides a photovoltaic array arrangement method. In this method, the shadow range of the photovoltaic array at a preset time is determined. Based on the shadow range, the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between their center points in the column direction are calculated to generate an initial arrangement strategy for the photovoltaic array. The initial arrangement strategy is iteratively optimized to obtain the optimal arrangement strategy. Based on the optimal arrangement constraints, the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy is determined, and the medium-voltage direct-connected inverter is arranged according to the optimal arrangement position. This solves the problems in related technologies, such as the high computational complexity of cable layout methods, inability to meet the layout requirements of medium-voltage direct-connected inverters, and lack of integrated verification of cable current carrying capacity and voltage drop, which affect the wiring length and specifications of DC cables.

[0068] like Figure 1 The diagram shown is a flowchart of a photovoltaic array arrangement method based on a medium-voltage direct-connected inverter according to an embodiment of this application.

[0069] like Figure 1 As shown, the photovoltaic array arrangement method based on medium-voltage direct-connected inverters includes the following steps:

[0070] In step S101, the shadow range of the photovoltaic array at a preset time is determined.

[0071] Optionally, in one embodiment of this application, determining the shadow range of the photovoltaic array at a preset time includes: obtaining the longitude and latitude information of the photovoltaic array; obtaining the solar hour angle of the photovoltaic array based on the current longitude information, and obtaining the solar declination angle of the photovoltaic array based on the number of days in a year; obtaining the solar altitude angle and solar azimuth angle of the photovoltaic array based on the latitude information, solar hour angle, and solar declination angle, and obtaining the shadow shading coefficient of the photovoltaic array in a preset direction based on the solar altitude angle and solar azimuth angle; and determining the shadow range of the photovoltaic array at a preset time based on the shadow shading coefficient of the photovoltaic array in the preset direction.

[0072] The preset time can be selected by those skilled in the art based on the actual shading situation throughout the year. In order to avoid shading during the calculation process of the photovoltaic array in this application and to ensure that the photovoltaic array can receive sufficient sunlight, this application embodiment calculates the spacing of photovoltaic modules in the photovoltaic array to meet the requirement of no shading between 9:00 and 15:00 on the winter solstice.

[0073] Specifically, such as Figure 2 As shown, in this embodiment of the application, the longitude and latitude information of the current location of the photovoltaic array are first obtained, and then the shading is calculated based on the longitude and latitude information of the current location of the photovoltaic array, the arrangement of the photovoltaic strings in the photovoltaic array and the installation tilt angle of the photovoltaic strings, so as to determine the shaded area.

[0074] Specifically, in this embodiment of the application, after obtaining the longitude and latitude information of the current location of the photovoltaic array, the true solar time of the current location of the photovoltaic array can be obtained based on the longitude information of the current location of the photovoltaic array, and the solar hour angle of the current location of the photovoltaic array can be obtained from the true solar time. Then, the solar declination angle of the current location of the photovoltaic array is obtained according to the number of days in the year (i.e., the winter solstice).

[0075] The true solar time of the region where the photovoltaic array is currently located can be expressed as:

[0076] ST=T local -(λ-120°) / 15°

[0077] The solar hour angle of the region where the photovoltaic array is currently located can be expressed as:

[0078] ω = 15 × (ST - 12)

[0079] The solar declination angle of the region where the photovoltaic array is currently located can be expressed as:

[0080]

[0081] Among them, ST represents the true solar time of the region where the photovoltaic array is currently located, and T represents the true solar time of the region where the photovoltaic array is currently located. local λ represents the current time in the region, ω represents the longitude of the region, ω represents the solar hour angle of the region where the photovoltaic array is located, δ represents the solar declination angle of the region where the array is located, and n represents the day of the year. For example, the winter solstice is the 355th day of the year.

[0082] Secondly, based on the latitude, solar hour angle, and solar declination angle of the current location of the photovoltaic array, the solar altitude angle and solar azimuth angle of the photovoltaic array are obtained. Then, based on the arrangement of the photovoltaic strings, the installation tilt angle of the photovoltaic strings, the solar altitude angle, and the solar azimuth angle, the shading coefficient of the photovoltaic array in the preset direction is obtained. For example, the shading coefficient of the photovoltaic array in the north-south direction can be obtained based on the solar altitude angle and solar azimuth angle. Thus, the unshaded shadow range of the photovoltaic array between 9:00 and 15:00 on the winter solstice is determined based on the shading coefficient of the photovoltaic array in the north-south direction. The photovoltaic string is generally composed of 26 photovoltaic modules connected in series, and its arrangement is generally 2 rows and 13 columns, with an installation tilt angle.

[0083] The solar altitude angle of the photovoltaic array can be expressed as:

[0084]

[0085] The solar azimuth angle at which the photovoltaic array is currently positioned can be expressed as:

[0086] β=arcsin(cosδsinω / cosα)

[0087] The shading coefficient of a photovoltaic array in the north-south direction can be expressed as:

[0088]

[0089] In step S102, the horizontal distance between the center points of adjacent photovoltaic strings in the row direction and the vertical distance between the center points of adjacent photovoltaic strings in the column direction are calculated based on the shaded area. The initial layout strategy of the photovoltaic array is generated based on the horizontal and vertical distances between the center points.

[0090] Optionally, in one embodiment of this application, calculating the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction based on the shadow range includes: determining a first net spacing between adjacent photovoltaic strings in the row direction based on the size of the photovoltaic strings, and obtaining the lateral distance between the center points of adjacent photovoltaic strings in the row direction based on the size of the photovoltaic strings and the first net spacing; determining the projected length of the tilted surface of the photovoltaic strings based on a first installation tilt angle and the tilted surface length of the photovoltaic strings; determining a second net spacing between adjacent photovoltaic strings in the column direction based on a second installation tilt angle, the tilted surface length of the photovoltaic strings, and a shadow shading coefficient in a preset direction; and obtaining the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction based on the projected length of the tilted surface of the photovoltaic strings and the second net spacing.

[0091] Specifically, such as Figure 2 and Figure 3 As shown, in this embodiment, after obtaining the shadow range of the photovoltaic array, the first net spacing between adjacent photovoltaic strings in the row direction is determined based on the size of the photovoltaic strings. Then, the lateral distance between the center points of adjacent photovoltaic strings in the row direction is obtained based on the size of the photovoltaic strings and the first net spacing. The size of the photovoltaic string is the length of 13 photovoltaic modules + the installation spacing of 12 photovoltaic modules. In other words, the lateral distance L between the center points of adjacent photovoltaic strings in the row direction is... array = 13 photovoltaic modules' length + 12 photovoltaic modules' installation spacing + first net spacing (i.e. Figure 3 Δ L Its expression is:

[0092] L array =L module n L +(n L -1)×Δ a +Δ L

[0093] Among them, L array L is the lateral distance between the center points of adjacent photovoltaic strings in the row direction. module For photovoltaic module size, n L The number of photovoltaic modules installed in the series direction of the photovoltaic array, Δ a For photovoltaic module installation spacing, Δ L This is the first net spacing in the serial direction of the photovoltaic array.

[0094] Furthermore, such as Figure 4 As shown, the embodiments of this application are based on the first installation tilt angle cosθ (optimal installation tilt angle) of the photovoltaic string and the tilt surface length W of the photovoltaic string. arrayThe projected length D1 of the tilted surface of the photovoltaic (PV) string can be determined. Then, based on the second installation tilt angle sinθ (optimal installation tilt angle) and the length of the tilted surface of the PV string, the vertical height H of the PV string can be determined. Based on the north-south shading coefficient, the second net spacing D2 between adjacent PV strings in the column direction can be determined, i.e., the north-south net spacing. Finally, the longitudinal distance D between the center points of adjacent PV strings in the column direction can be obtained based on the projected length of the tilted surface and the second net spacing. N-S .

[0095] Wherein, the length W of the tilted surface of the photovoltaic string in the column direction array It can be represented as:

[0096] W array =W module n W +(n W -1)×Δ a

[0097] The projected length D1 of the tilted surface of the photovoltaic string can be expressed as:

[0098] D1 = W array cosθ

[0099] The second net spacing D2 between adjacent photovoltaic strings in the column direction can be expressed as:

[0100] H = W array sinθ

[0101] D2=H·R N-S

[0102] The longitudinal distance D between the center points of adjacent photovoltaic strings in the column direction N-S It can be represented as:

[0103] D N-S =D1+D2

[0104] Among them, W array D1 is the length of the tilted surface of adjacent photovoltaic strings in the column direction, θ is the projected length of the tilted surface of the photovoltaic string, and W is the installation tilt angle of the photovoltaic string. module For the column-oriented dimension of the photovoltaic module, n W The number of photovoltaic modules installed in the string direction of the photovoltaic module, Δ a H is the installation spacing of photovoltaic modules, H is the vertical height of the photovoltaic string, D2 is the second net spacing between adjacent photovoltaic strings in the column direction (i.e., the net spacing in the north-south direction), and R is the vertical spacing between photovoltaic modules. N-S The north-south shading coefficient, D N-S It is the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction, that is, the spacing between the front and rear rows in the north-south direction.

[0105] Therefore, in this embodiment of the application, the photovoltaic array can be initially arranged according to the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction, thereby generating an initial arrangement strategy for the photovoltaic array. The objective function can be expressed as:

[0106] f(x,y)=xy

[0107] Where x is the number of the first photovoltaic strings in the row direction of the photovoltaic array, y is the number of the second photovoltaic strings in the direction of the photovoltaic array, and xy is the maximum number of objects in the photovoltaic array arrangement.

[0108] In step S103, the initial arrangement strategy of the photovoltaic array is iteratively optimized to obtain the optimal arrangement strategy of the photovoltaic array. Based on the optimal arrangement constraints, the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy of the photovoltaic array is determined so as to arrange the medium-voltage direct-connected inverter according to the optimal arrangement position.

[0109] Optionally, in one embodiment of this application, after iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, the method further includes: determining the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array; if both the number of first and second photovoltaic strings are odd, then determining the optimal arrangement position of the medium-voltage direct-connected inverter based on the number of first and second photovoltaic strings; if the number of first photovoltaic strings is even, then adding a column in the row direction where the number of first photovoltaic strings is located to obtain a new number of first photovoltaic strings in the row direction; if the number of second photovoltaic strings is even, then adding a row in the column direction where the number of second photovoltaic strings is located to obtain a new number of second photovoltaic strings in the column direction; and determining the optimal arrangement position of the medium-voltage direct-connected inverter based on the new number of first photovoltaic strings in the row direction and the new number of second photovoltaic strings in the column direction.

[0110] Specifically, in this embodiment of the application, after generating the initial arrangement strategy of the photovoltaic array, since the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array are not integers, it is necessary to iteratively optimize the initial arrangement strategy of the photovoltaic array. That is, the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array are rounded up to obtain the optimal arrangement strategy of the photovoltaic array. Then, the parity of the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array is further determined so as to obtain the optimal arrangement strategy of the photovoltaic array based on the parity of the number of photovoltaic strings.

[0111] The optimized arrangement and iterative update of the photovoltaic array can be obtained by solving the Lagrange function, as shown in the following expression:

[0112]

[0113] Where x is the number of the first photovoltaic strings in the row direction of the photovoltaic array, y is the number of the second photovoltaic strings in the column direction of the photovoltaic array, and N total The total number of photovoltaic strings and medium-voltage direct-connected inverters, D N-S D1 is the north-south spacing between the front and rear rows of photovoltaic strings, D2 is the net north-south spacing between photovoltaic strings, and L is the distance between the front and rear rows of photovoltaic strings. array Let Δ be the lateral distance between the center points of adjacent photovoltaic strings in the row direction. L λ1 is the first net spacing in the serial direction of the photovoltaic array, λ2 is the Lagrange multiplier constrained by the lower limit of the total number of modules, λ3 is the Lagrange multiplier constrained by the north-south spacing constraint, and λ4 is the Lagrange multiplier constrained by the first net spacing condition in the longitudinal direction of the photovoltaic array.

[0114] Furthermore, this embodiment employs KKT (Karush-Kuhn-Tucker) conditions (i.e., optimal solution conditions) to solve the optimization function f(x,y)=xy. KKT conditions are crucial in optimization theory, used to determine the potential optimal solution to an optimization problem. KKT conditions are particularly suitable for constrained optimization problems, and they must satisfy the following conditions:

[0115] (1) The gradient condition must be satisfied, as shown in the following expression:

[0116]

[0117] (2) The original constraint conditions must be satisfied, as shown in the following expression:

[0118] N total ≤xy≤N total +x

[0119] D N-s y-(D2+L array )≤L array x-Δ L

[0120] L array x-Δ L ≤D N-s y+(L array -D2)

[0121] (3) Duality must be satisfied, as expressed below:

[0122] λ i ≥0 for all i

[0123] (4) The complementary relaxation condition must be satisfied, as shown in the following expression:

[0124] λ1(N total -xy)=0

[0125] λ2(xy-(N total +x))=0

[0126] λ3(D N-s y-(D2+L array )-(L array x-Δ L ))=0

[0127] λ4(L array x-Δ L -(D N-s y+(L array -D2)))=0

[0128] Based on the optimal arrangement strategy of the photovoltaic array obtained above, it is also necessary to consider the parity of the number of photovoltaic strings x in the row direction and the number of photovoltaic strings y in the column direction, reconstruct the photovoltaic array, and determine the optimal arrangement position of the medium-voltage direct-connected inverter based on the optimal arrangement constraint (i.e. the constraint of minimizing the total wiring length of DC cables).

[0129] Specifically, in this embodiment, after obtaining the optimal arrangement strategy of the photovoltaic array, the number of first photovoltaic strings in the row direction and the number of second photovoltaic strings in the column direction of the photovoltaic array are determined. If both the number of first and second photovoltaic strings are odd, the optimal arrangement position of the medium-voltage direct-connected inverter, i.e., the center position of the photovoltaic array, can be determined based on the number of first and second photovoltaic strings and the optimal arrangement constraints. If the number of first photovoltaic strings is even, a column needs to be added in the row direction where the first photovoltaic strings are located to obtain a new number of first photovoltaic strings in the row direction. If the number of second photovoltaic strings is even, a row needs to be added in the column direction where the second photovoltaic strings are located to obtain a new number of second photovoltaic strings in the column direction. Thus, the photovoltaic array is adjusted based on the new number of first photovoltaic strings in the row direction and the new number of second photovoltaic strings in the column direction, and the optimal arrangement position of the medium-voltage direct-connected inverter, i.e., the center position of the photovoltaic array, is determined based on the optimal arrangement constraints. At this time, the total wiring length of the DC cable is minimized. The expression of the photovoltaic array obtained by the above adjustment is as follows:

[0130]

[0131] Where x is the number of the first photovoltaic array string in the row direction and y is the number of the second photovoltaic array string in the column direction.

[0132] The expression for the parity of a photovoltaic string is as follows:

[0133]

[0134] Therefore, the photovoltaic array is adjusted based on the parity of the number of strings in the first and second photovoltaic groups, and the optimal arrangement position of the medium-voltage direct-connected inverter is determined based on the optimal arrangement constraint of minimizing the total wiring length of DC cables, so as to arrange the medium-voltage direct-connected inverter according to the optimal arrangement position.

[0135] Optionally, in one embodiment of this application, after arranging the medium-voltage direct-connected inverter according to the optimal arrangement position, the method further includes: obtaining the increase in the number of photovoltaic strings in the photovoltaic array, and deleting the photovoltaic string that is furthest from the optimal arrangement position of the medium-voltage direct-connected inverter based on the increase, so as to obtain the final photovoltaic array based on the medium-voltage direct-connected inverter.

[0136] Specifically, in this embodiment, after obtaining the optimal placement location of the medium-voltage direct-connected inverter, since the location of the medium-voltage direct-connected inverter determines the cable length from each photovoltaic string to the inverter, which will affect the selection of cable specifications, it is first necessary to statistically analyze the cable laying path length and verify the voltage drop for each photovoltaic string to determine the DC cable specifications. Different cross-sectional specifications of DC cables (such as 4mm²) are required. 2 6mm 2 The maximum allowable connection length (etc.) can be calculated based on the allowable voltage drop, as shown in the following expression:

[0137]

[0138] Where L is the maximum length of the cable; I mpp V is the peak power current of the component. mpp A1 is the peak power voltage of the module, A2 is the number of photovoltaic modules in the series direction of the photovoltaic array, S is the conductor cross-section, T is the conductor operating temperature, and Δ is the peak power voltage of the module. U The maximum allowable voltage drop is given by ρ, where ρ is the resistivity of the copper cable at 20℃, and a is the temperature coefficient of resistance.

[0139] Then, as Figure 5 As shown, the increase in the number of photovoltaic strings in the photovoltaic array obtained after the above iterative optimization is obtained, and based on the increase, the photovoltaic strings farthest from the optimal arrangement position of the medium-voltage direct-connected inverter are deleted, that is, the number of deleted strings is xy-N. total The photovoltaic strings are selected to maintain a match between the results and the demand, thereby obtaining the final photovoltaic array based on the medium-voltage direct-connected inverter and generating the final photovoltaic array layout diagram. Based on the obtained optimal layout position of the medium-voltage direct-connected inverter, the length I of the DC cable connected to each photovoltaic string is calculated, thereby obtaining the statistical results of the DC cable engineering quantity. The statistical expression of the cable engineering quantity is as follows:

[0140]

[0141] Where I(m,n) is the length of the DC cable connecting each photovoltaic string to the medium-voltage direct-connected photovoltaic inverter.

[0142] Therefore, as can be seen from the above embodiments, the placement of medium-voltage direct-connected inverters has a significant impact on the overall performance and economy of photovoltaic arrays. Reasonable inverter placement planning can reduce cable losses, improve system efficiency, simplify maintenance procedures, and help reduce overall costs. Therefore, when designing large-scale photovoltaic power plants, the above factors need to be comprehensively considered to achieve the best system layout and performance.

[0143] According to the photovoltaic array arrangement method based on medium-voltage direct-connected inverters proposed in this application, the shadow range of the photovoltaic array at a preset time is determined. Based on the shadow range, the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points in the column direction are calculated to generate an initial arrangement strategy for the photovoltaic array. The initial arrangement strategy is iteratively optimized to obtain the optimal arrangement strategy for the photovoltaic array. Based on the optimal arrangement constraints, the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy of the photovoltaic array is determined, and the medium-voltage direct-connected inverter is arranged according to the optimal arrangement position. This solves the problems of high computational complexity in cable arrangement methods in related technologies, which cannot meet the arrangement requirements of medium-voltage direct-connected inverters, and do not integrate cable current carrying capacity and voltage drop verification, thus affecting the wiring length and specifications of DC cables.

[0144] Next, referring to the accompanying drawings, a photovoltaic array arrangement device based on a medium-voltage direct-connected inverter, according to an embodiment of this application, is described.

[0145] Figure 6 This is a block diagram of a photovoltaic array arrangement device based on a medium-voltage direct-connected inverter, according to an embodiment of this application.

[0146] like Figure 6 As shown, the photovoltaic array arrangement device 10 based on a medium-voltage direct-connected inverter includes: a determination module 100, a generation module 200, and an arrangement module 300.

[0147] Among them, the determining module 100 is used to determine the shadow range of the photovoltaic array at a preset time;

[0148] The generation module 200 is used to calculate the horizontal distance between the center points of adjacent photovoltaic strings in the row direction and the vertical distance between the center points of adjacent photovoltaic strings in the column direction based on the shaded area, and to generate the initial layout strategy of the photovoltaic array based on the horizontal distance between the center points and the vertical distance between the center points.

[0149] The arrangement module 300 is used to iteratively optimize the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, and determine the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy of the photovoltaic array based on the optimal arrangement constraints, so as to arrange the medium-voltage direct-connected inverter according to the optimal arrangement position.

[0150] Optionally, in one embodiment of this application, the determining module 100 includes:

[0151] The first acquisition unit is used to acquire the longitude and latitude information of the photovoltaic array at its current location;

[0152] The second acquisition unit is used to obtain the solar hour angle of the photovoltaic array based on the longitude information of the photovoltaic array, and to obtain the solar declination angle of the photovoltaic array based on the number of days in a year.

[0153] The third acquisition unit is used to obtain the solar altitude angle and solar azimuth angle of the photovoltaic array based on the latitude information, solar hour angle and solar declination angle, and to obtain the shadow occlusion coefficient of the photovoltaic array in the preset direction based on the solar altitude angle and solar azimuth angle.

[0154] The first determining unit is used to determine the shadow range of the photovoltaic array at a preset time based on the shadow shading coefficient of the photovoltaic array in a preset direction.

[0155] Optionally, in one embodiment of this application, the generation module 200 includes:

[0156] The fourth acquisition unit is used to determine the first net spacing between adjacent photovoltaic strings in the row direction based on the size of the photovoltaic string, and to obtain the lateral distance between the center points of adjacent photovoltaic strings in the row direction according to the size of the photovoltaic string and the first net spacing.

[0157] The second determining unit is used to determine the projected length of the inclined surface of the photovoltaic string based on the first installation tilt angle of the photovoltaic string and the length of the inclined surface of the photovoltaic string;

[0158] The third determining unit is used to determine the second net spacing between adjacent photovoltaic strings in the column direction based on the second installation tilt angle of the photovoltaic string, the tilt surface length of the photovoltaic string and the shading coefficient of the preset direction;

[0159] The fifth acquisition unit is used to obtain the longitudinal distance between the center points of adjacent photovoltaic strings in the column direction based on the projected length of the tilted surface of the photovoltaic string and the second net spacing.

[0160] Optionally, in one embodiment of this application, after iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, the arrangement module 300 further includes:

[0161] The judgment unit is used to determine the number of the first photovoltaic strings in the row direction and the number of the second photovoltaic strings in the column direction of the photovoltaic array.

[0162] The fourth determining unit is used to determine the optimal arrangement position of the medium-voltage direct-connected inverter based on the number of the first photovoltaic array strings and the number of the second photovoltaic array strings if both are odd numbers.

[0163] The sixth acquisition unit is used to add a column in the row direction where the number of first photovoltaic strings is located if the number of first photovoltaic strings is even, so as to obtain the number of first photovoltaic strings in the new row direction.

[0164] The seventh acquisition unit is used to add a row in the column direction where the number of strings of the second photovoltaic group is located if the number of strings of the second photovoltaic group is even, so as to obtain the number of strings of the second photovoltaic group in the new column direction;

[0165] The fifth determining unit is used to determine the optimal arrangement position of the medium-voltage direct-connected inverter based on the number of first photovoltaic strings in the new row direction and the number of second photovoltaic strings in the new column direction.

[0166] Optionally, in one embodiment of this application, after arranging the medium-voltage direct-connected inverter according to the optimal arrangement location, the arrangement module 300 further includes:

[0167] The adjustment unit is used to obtain the increase in the number of photovoltaic strings in the photovoltaic array, and delete the photovoltaic string that is farthest from the optimal arrangement position of the medium-voltage direct-connected inverter based on the increase, so as to obtain the final photovoltaic array based on the medium-voltage direct-connected inverter.

[0168] According to the photovoltaic array arrangement device based on medium-voltage direct-connected inverters proposed in this application, the shadow range of the photovoltaic array at a preset time is determined. Based on the shadow range, the lateral distance between the center points of adjacent photovoltaic strings in the row direction and the longitudinal distance between the center points in the column direction are calculated to generate an initial arrangement strategy for the photovoltaic array. The initial arrangement strategy is iteratively optimized to obtain the optimal arrangement strategy for the photovoltaic array. Based on the optimal arrangement constraints, the optimal arrangement position of the medium-voltage direct-connected inverter in the optimal arrangement strategy of the photovoltaic array is determined, and the medium-voltage direct-connected inverter is arranged according to the optimal arrangement position. This solves the problems of high computational complexity in cable arrangement methods in related technologies, which cannot meet the arrangement requirements of medium-voltage direct-connected inverters, and do not integrate cable current carrying capacity and voltage drop verification, thus affecting the wiring length and specifications of DC cables.

[0169] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0170] The memory 701, the processor 702, and the computer program stored on the memory 701 and executable on the processor 702.

[0171] When the processor 702 executes the program, it implements the photovoltaic array arrangement method based on medium-voltage direct-connected inverters provided in the above embodiments.

[0172] Furthermore, electronic devices also include:

[0173] Communication interface 703 is used for communication between memory 701 and processor 702.

[0174] The memory 701 is used to store computer programs that can run on the processor 702.

[0175] The memory 701 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0176] If the memory 701, processor 702, and communication interface 703 are implemented independently, then the communication interface 703, memory 701, and processor 702 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 7 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0177] Optionally, in a specific implementation, if the memory 701, processor 702, and communication interface 703 are integrated on a single chip, then the memory 701, processor 702, and communication interface 703 can communicate with each other through an internal interface.

[0178] The processor 702 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0179] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the photovoltaic array arrangement method based on a medium-voltage direct-connected inverter as described above.

[0180] This application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the photovoltaic array arrangement method based on a medium-voltage direct-connected inverter as described above.

[0181] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0182] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0183] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0184] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). In addition, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically by optically scanning paper or other media, then editing, interpreting or otherwise processing them as necessary, and then storing them in computer memory.

[0185] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0186] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0187] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0188] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method of PV string arrangement based on medium voltage direct mounted inverters, characterized in that, The method comprises the following steps: determining a shadow range of the photovoltaic array at a preset time; calculating a horizontal distance between center points of adjacent photovoltaic strings in a row direction and a vertical distance between center points of the adjacent photovoltaic strings in a column direction based on the shadow range, and generating an initial arrangement strategy of the photovoltaic array based on the horizontal distance and the vertical distance; iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain an optimal arrangement strategy of the photovoltaic array, and determining an optimal arrangement position of a medium-voltage direct-hanging inverter in the optimal arrangement strategy of the photovoltaic array based on an optimal arrangement constraint condition of minimizing a total wiring length of a direct-current cable, so as to arrange the medium-voltage direct-hanging inverter according to the optimal arrangement position; after iteratively optimizing the initial arrangement strategy of the photovoltaic array to obtain the optimal arrangement strategy of the photovoltaic array, further comprising: judging a first number of photovoltaic strings in a row direction in the photovoltaic array and a second number of photovoltaic strings in a column direction in the photovoltaic array; if both the first number of photovoltaic strings and the second number of photovoltaic strings are odd numbers, determining the optimal arrangement position of the medium-voltage direct-hanging inverter, i.e. a most central position of the photovoltaic array, according to the first number of photovoltaic strings and the second number of photovoltaic strings; if the first number of photovoltaic strings is an even number, adding one column to the row direction in which the first number of photovoltaic strings is located to obtain a new first number of photovoltaic strings in the row direction; if the second number of photovoltaic strings is an even number, adding one row to the column direction in which the second number of photovoltaic strings is located to obtain a new second number of photovoltaic strings in the column direction; and determining the optimal arrangement position of the medium-voltage direct-hanging inverter, i.e. the most central position of the photovoltaic array, according to the new first number of photovoltaic strings in the row direction and the new second number of photovoltaic strings in the column direction; after arranging the medium-voltage direct-hanging inverter according to the optimal arrangement position, further comprising: obtaining an increase amount of photovoltaic strings in the photovoltaic array, and deleting a photovoltaic string farthest from the optimal arrangement position of the medium-voltage direct-hanging inverter based on the increase amount to obtain a final photovoltaic array based on the medium-voltage direct-hanging inverter.

2. The method of claim 1, wherein, The determination of the shadow range of the photovoltaic array at the preset time comprises: obtaining longitude information and latitude information of the photovoltaic array currently located; obtaining a solar hour angle of the photovoltaic array currently located according to the longitude information and obtaining a solar declination angle of the photovoltaic array currently located according to the total number of days in a year; obtaining a solar altitude angle and a solar azimuth angle of the photovoltaic array currently located according to the latitude information, the solar hour angle and the solar declination angle, and obtaining a shadow blocking coefficient of the photovoltaic array in the preset direction according to the solar altitude angle and the solar azimuth angle; determining the shadow range of the photovoltaic array at the preset time according to the shadow blocking coefficient of the photovoltaic array in the preset direction.

3. The method of claim 1, wherein, The calculation of the horizontal distance between the center points of the adjacent photovoltaic strings in the row direction and the vertical distance between the center points of the adjacent photovoltaic strings in the column direction based on the shadow range comprises: determining a first net distance between the adjacent photovoltaic strings in a row direction based on the size of the photovoltaic string, and obtaining a horizontal distance between center points of the adjacent photovoltaic strings in the row direction according to the size of the photovoltaic string and the first net distance; determining a photovoltaic string inclined surface projection length based on a first installation inclination of the photovoltaic string and a length of an inclined surface of the photovoltaic string; determining a second net distance between the adjacent photovoltaic strings in a column direction based on a second installation inclination of the photovoltaic string, the length of the inclined surface of the photovoltaic string, and a shadow blocking coefficient of a preset direction; obtaining a vertical distance between center points of the adjacent photovoltaic strings in the column direction according to the photovoltaic string inclined surface projection length and the second net distance.

4. A photovoltaic array arrangement based on medium voltage line commutated inverter, characterized by comprising: a determination module configured to determine a shadow range of a photovoltaic square array at a preset time; a generation module configured to calculate a horizontal distance between center points of adjacent photovoltaic strings in a row direction of the photovoltaic square array and a vertical distance between center points of the adjacent photovoltaic strings in a column direction of the photovoltaic square array according to the shadow range, and generate an initial arrangement strategy of the photovoltaic square array based on the horizontal distance between the center points and the vertical distance between the center points; an arrangement module configured to iteratively optimize the initial arrangement strategy of the photovoltaic square array to obtain an optimal arrangement strategy of the photovoltaic square array, and determine an optimal arrangement position of a medium-voltage direct-hanging inverter in the optimal arrangement strategy of the photovoltaic square array based on an optimal arrangement constraint condition that a total wiring length of direct-current cables is minimum, so as to arrange the medium-voltage direct-hanging inverter according to the optimal arrangement position; after iteratively optimizing the initial arrangement strategy of the photovoltaic square array to obtain the optimal arrangement strategy of the photovoltaic square array, the arrangement module further comprises: a judging unit configured to judge a first number of photovoltaic strings in the row direction of the photovoltaic square array and a second number of photovoltaic strings in the column direction of the photovoltaic square array; a fourth determination unit configured to determine the optimal arrangement position of the medium-voltage direct-hanging inverter, i.e. a most central position of the photovoltaic square array, according to the first number of photovoltaic strings and the second number of photovoltaic strings if both the first number of photovoltaic strings and the second number of photovoltaic strings are odd numbers; a sixth acquisition unit configured to increase one column in the row direction in which the first number of photovoltaic strings is located to obtain a new first number of photovoltaic strings in the row direction if the first number of photovoltaic strings is an even number; a seventh acquisition unit configured to increase one row in the column direction in which the second number of photovoltaic strings is located to obtain a new second number of photovoltaic strings in the column direction if the second number of photovoltaic strings is an even number; and a fifth determination unit configured to determine the optimal arrangement position of the medium-voltage direct-hanging inverter, i.e. the most central position of the photovoltaic square array, according to the new first number of photovoltaic strings in the row direction and the new second number of photovoltaic strings in the column direction; after arranging the medium-voltage direct-hanging inverter according to the optimal arrangement position, the arrangement module further comprises: an adjusting unit configured to acquire an increase amount of photovoltaic strings in the photovoltaic square array, and delete a photovoltaic string farthest from the optimal arrangement position of the medium-voltage direct-hanging inverter based on the increase amount to obtain a final photovoltaic square array based on the medium-voltage direct-hanging inverter.

5. The apparatus of claim 4, wherein, the determination module comprises: The first acquisition unit is configured to acquire longitude information and latitude information of the photovoltaic array; The second acquisition unit is configured to obtain a solar hour angle of the photovoltaic array according to the longitude information and obtain a solar declination angle of the photovoltaic array according to the number of days in a year; The third acquisition unit is configured to obtain a solar altitude angle and a solar azimuth angle of the photovoltaic array according to the latitude information, the solar hour angle and the solar declination angle, and obtain a shadow blocking coefficient of the photovoltaic array in the preset direction according to the solar altitude angle and the solar azimuth angle; The first determination unit is configured to determine a shadow range of the photovoltaic array at the preset time according to the shadow blocking coefficient of the photovoltaic array in the preset direction.

6. An electronic device, comprising: The computer program is executed by the processor to implement the photovoltaic array arrangement method based on the medium-voltage direct-connection inverter. The computer program is executed by the processor to implement the photovoltaic array arrangement method based on the medium-voltage direct-connection inverter.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed to implement the photovoltaic array arrangement method based on the medium-voltage direct-connection inverter.

8. A computer program product comprising a computer program, characterized in that, ​

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