CN108564221A - A kind of photovoltaic array spacing and the computational methods and computing device at inclination angle - Google Patents
A kind of photovoltaic array spacing and the computational methods and computing device at inclination angle Download PDFInfo
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Abstract
This application discloses a kind of photovoltaic array spacing and the computational methods and computing device at inclination angle, for being iterated the optimal combination parameter for calculating photovoltaic array spacing and inclination angle by Random Walk Algorithm, to obtain maximum investment yield.The application method includes：Step 1：Keeping photovoltaic array spacing L to be equal to, L0 is constant, and using Random Walk Algorithm, the angle value for changing photovoltaic array inclination angle M is iterated calculating, to obtain same photovoltaic array spacing, the per kilowatt generated energy of photovoltaic system under different photovoltaic array inclination angle；Step 2：When the per kilowatt generated energy is maximum value, the corresponding photovoltaic array inclination angle M of the maximum value is determined as candidate inclination angle when photovoltaic array spacing is L0；Step 3：Investment yield when photovoltaic array spacing is L0 is obtained according to the maximum value calculation；Step 1 is repeated to step 3, maximum investment yield is worth corresponding photovoltaic array spacing L and candidate inclination angle, is identified as target spacing and target-angle.
Description
Technical field
This application involves photovoltaic generating system technical field more particularly to the calculating sides at a kind of photovoltaic array spacing and inclination angle
Method and computing device.
Background technology
In photovoltaic system, photovoltaic array inclination angle and photovoltaic array spacing are two mostly important two photovoltaic parameters.
The angle value at photovoltaic array inclination angle will influence the investment return of photovoltaic system with the distance values difference of photovoltaic array spacing.
In photovoltaic system design process, need to optimize above-mentioned two parameter, with the photovoltaic array spacing that is optimized with
And photovoltaic array inclination angle.
The Traditional calculating methods at photovoltaic array inclination angle are based on without front and back array shadow occlusion and horizon in photovoltaic system
The case where blocking carries out parameter and is calculated, and then according to this photovoltaic array Dip countion photovoltaic array spacing.In reality
In photovoltaic system design process, photovoltaic array spacing and photovoltaic array inclination angle that Traditional calculating methods obtain often are joined with best
There are relatively large deviations for array conjunction.
Invention content
The application first aspect provides a kind of photovoltaic array spacing and the computational methods at inclination angle, including：
Step 1：It keeps photovoltaic array spacing L constant equal to L0, using Random Walk Algorithm, changes photovoltaic array inclination angle M
Angle value be iterated calculating, to obtain same photovoltaic array spacing, the unit of photovoltaic system under different photovoltaic array inclination angle
Kilowatt generated energy；
Step 2：When the per kilowatt generated energy is maximum value, by the corresponding photovoltaic array inclination angle M of the maximum value
It is determined as candidate inclination angle when photovoltaic array spacing is L0；
Step 3：Investment yield when photovoltaic array spacing is L0 is obtained according to the maximum value calculation；
The distance values for changing the photovoltaic array spacing L execute above-mentioned steps 1 to step for different photovoltaic array spacing L
Rapid 3, to obtain the corresponding investment yields of different photovoltaic array spacing L；
From the corresponding investment yields of the difference array pitch L, maximum investment yield is worth corresponding photovoltaic battle array
Column pitch L and candidate inclination angle, are identified as target spacing and target-angle.
In one possible implementation, the value range of the photovoltaic array spacing L is [Lmin, Lmax], wherein
The Lmin and Lmax is preset distance values.
In one possible implementation, the value range of the photovoltaic array inclination angle M is [Mmin, Mmax], wherein
The Mmin and Mmax is preset angle value.
In one possible implementation, described to be obtained when photovoltaic array spacing is L0 according to the maximum value calculation
Investment yield, including：Determine that the photovoltaic array spacing is according to the installed capacity of the photovoltaic system and the maximum value
Investment yield when L0.
In one possible implementation, the method further includes：It is determined according to the arrangement form of the photovoltaic system
The installed capacity of the photovoltaic system.
The application second aspect provides a kind of computing device, including：
First computing module, using Random Walk Algorithm, changes light for keeping photovoltaic array spacing L constant equal to L0
The angle value of photovoltaic array inclination angle M is iterated calculating, to obtain same photovoltaic array spacing, photovoltaic under different photovoltaic array inclination angle
The per kilowatt generated energy of system；
First determining module is used for when the per kilowatt generated energy is maximum value, by the corresponding light of the maximum value
Photovoltaic array inclination angle M is determined as candidate inclination angle when photovoltaic array spacing is L0；
Second computing module, for obtaining full investment return when photovoltaic array spacing is L0 according to the maximum value calculation
Rate investment yield；
Calling module, for changing the distance values of the photovoltaic array spacing L, for different photovoltaic array spacing L, successively
First computing module, first determining module and second computing module are called, to obtain between different photovoltaic array
Investment yield when away from L；
Second determining module is used for from the corresponding investment yields of the difference array pitch L, by maximum investment return
Rate is worth corresponding photovoltaic array spacing L and candidate inclination angle, is identified as target spacing and target-angle.
In one possible implementation, the value range of the photovoltaic array spacing L is [Lmin, Lmax], wherein
The Lmin and Lmax is preset distance values.
In one possible implementation, the value range of the photovoltaic array inclination angle M is [Mmin, Mmax], wherein
The Mmin and Mmax is preset angle value.
In one possible implementation, second computing module is specifically used for：According to the dress of the photovoltaic system
Machine capacity and the maximum value determine the investment yield when photovoltaic array spacing is L0.
In one possible implementation, the computing device further includes：Second third determining module, for according to institute
The arrangement form for stating photovoltaic system determines the installed capacity of the photovoltaic system.
The application third aspect additionally provides a kind of computing device, including：
Processor and memory；
The memory, for storing computer-managed instruction；
The processor is executed for calling the computer-managed instruction described in any one of above-mentioned first aspect
Photovoltaic array spacing and the computational methods at inclination angle.
The application fourth aspect additionally provides a kind of computer storage media, including computer-managed instruction, when the meter
When calculation machine operational order is run on computers so that computer executes the photovoltaic array described in any one of above-mentioned first aspect
Spacing and the computational methods at inclination angle.
As can be seen from the above technical solutions, the application has the following advantages：
Using Random Walk Algorithm, calculating is iterated to photovoltaic array spacing and photovoltaic array inclination angle so that investment is received
Beneficial rate maximizes.Since there is no limit can so that optimization is empty to the setting of the initial value at photovoltaic array spacing and photovoltaic array inclination angle
Between the target-angle and target spacing that can not be limited, therefore obtain more close to optimum parameter value, investment can be made to receive
Beneficial rate maximizes.
Derivation of the technical scheme based on mathematical relationship between photovoltaic system budgetary estimate and installed capacity, therefore, target is inclined
The selection at angle and target spacing is not limited by parameters such as photovoltaic module, inverter, cantilever type type selectings, can be to different light
Lie prostrate the determination that component, inverter, cantilever type type selecting carry out optimal parameter using same calculating logic.
In addition, technical scheme is judged based on computer logic, using the iterative calculation of PVsyst softwares as core,
The degree of automation is higher, and artificial workload can be greatly lowered.
Description of the drawings
Fig. 1 is one embodiment schematic diagram of the embodiment of the present application Computational Methods；
Fig. 2 is a photovoltaic system optimized flow chart based on Random Walk Algorithm in the embodiment of the present application；
Fig. 3 is the corresponding earning rate of different photovoltaic array spacing and unit static investment variation tendency in the embodiment of the present application
Figure；
Fig. 4 is one embodiment schematic diagram of computing device in the embodiment of the present application；
Fig. 5 is another embodiment schematic diagram of computing device in the embodiment of the present application；
Fig. 6 is another embodiment schematic diagram of computing device in the embodiment of the present application.
Specific implementation mode
This application provides a kind of photovoltaic array spacing and the computational methods and computing device at inclination angle, are swum at random for passing through
It walks algorithm and is iterated the optimal combination parameter for calculating photovoltaic array spacing and inclination angle, to obtain maximum investment yield.
Below in conjunction with the attached drawing in the application, the technical solution in the application is clearly and completely described, is shown
So, described embodiments are only a part of embodiments of the present application, instead of all the embodiments.
Technical scheme is based on the mathematical relationship between photovoltaic system budgetary estimate, project installed capacity, using random trip
It walks algorithm and calculating is optimized to photovoltaic array spacing and photovoltaic array inclination angle, with the distance values and inclination value after being optimized,
Distance values and inclination value after the final optimization using technical scheme carry out photovoltaic system design by investment yield maximum
Change, obtains maximum investment repayment.
For the ease of understanding technical scheme, with reference to specific embodiment to the computational methods in the application into
Row is described in detail, including：
As shown in Figure 1, one embodiment of the application Computational Methods, including：
Step 101 keeps photovoltaic array spacing L=L0 constant, using Random Walk Algorithm, changes photovoltaic array inclination angle
Angle value is iterated calculating, to obtain same photovoltaic array spacing, the unit thousand of photovoltaic system under different photovoltaic array inclination angle
Watt generated energy.
The initial value of photovoltaic array spacing can be set as arbitrary value, such as L=L0, and, at the beginning of photovoltaic array inclination angle
Initial value can be set as arbitrary value, such as M=M0, after setting above-mentioned two initial value, initial value input PVsyst is soft
Random Walk Algorithm is used in part, is calculated L=L0, per kilowatt generated energy when M=M0.
Further, the angle value M=M1 for changing photovoltaic array inclination angle obtains L=L0, M=M1 using similar computational methods
When per kilowatt generated energy, and so on obtain：When L=L0, M=M2, when L=L0, M=M3, list when L=L0, M=Mn
Position kilowatt generated energy, n are the quantity of the angle value at photovoltaic array inclination angle.
Optionally, the value range of photovoltaic array spacing L is [Lmin, Lmax], wherein Lmin and Lmax is to preset
Distance values.Lmin required minimum spacings when can be maintenance photovoltaic system, such as bottom surface photovoltaic system generally require the inspection of 1m
Channel is repaiied, Lmax can be the corresponding array pitch of photovoltaic system minimum installed capacity.
Optionally, the value range of photovoltaic array inclination angle M is [Mmin, Mmax], wherein Mmin and Mmax is to preset
Angle value.Mmin generally according to the maintenance of photovoltaic system, drain and prevent the factors such as dust accumulation be arranged, for example, 5 °.
Step 102, when per kilowatt generated energy be maximum value when, by the corresponding photovoltaic inclination angle of maximum unit kilowatt generated energy
It is determined as candidate inclination angle when photovoltaic array spacing is L0.
Same photovoltaic array spacing is calculated, it, will be maximum single when per kilowatt generated energy under different photovoltaic array inclination angle
Kilowatt generated energy corresponding photovoltaic inclination angle in position is determined as candidate inclination angle when photovoltaic array spacing is L0.Specifically, by with
The value of previous per kilowatt generated energy is compared with the value of current one kilowatt generated energy, carries out following iteration：If worked as
The value of preceding per kilowatt generated energy is more than the value of previous per kilowatt generated energy, then increases the angle value M at photovoltaic array inclination angle,
Continue to iterate to calculate；If the value of current one kilowatt generated energy is less than the value of previous per kilowatt generated energy, drop
The angle value M at low photovoltaic array inclination angle, continues to iterate to calculate；If the value of current one kilowatt generated energy is equal to previous
The angle value M at the corresponding photovoltaic array inclination angle of previous per kilowatt generated energy is then determined as by the value of per kilowatt generated energy
Candidate inclination angle is terminated current iteration and is calculated.
It should be noted that step 102 is to analyze experience (i.e. same photovoltaic array spacing according to long-term solar radiation data
The relationship at lower generated energy and array inclination angle is convex function, only single peak value, and nearby change rate is very low for single peak value) it obtains
's.
For example, such as per kilowatt generated energy when L=L0, M=M1 is denoted as Y1, when L=L0, M=is calculated
When per kilowatt generated energy when M2 is denoted as Y2, if Y2 is more than Y1, M=M3 is enabled>M2 continues iterative calculation and obtains L=
Per kilowatt generated energy when L0, M=M3 is denoted as Y3, if Y3 is less than Y2, enables M3>M=M4>M2 continues to iterate to calculate
Obtain L=L0, per kilowatt generated energy when M=M4 is denoted as Y4, if Y4 is equal to Y3, terminates interative computation, using M3 as working as L
Candidate inclination angle when=L0.
Step 103, be calculated according to maximum unit kilowatt generated energy photovoltaic array spacing be L0 when investment yield.
Optionally, Analysis of Economic Evaluation meter is carried out according to the installed capacity of maximum unit kilowatt generated energy and photovoltaic system
It calculates and obtains investment yield when photovoltaic array spacing is L0.
Optionally, the installed capacity of photovoltaic system is determined according to the arrangement form of photovoltaic system.
Optionally, investment yield is the full investment internal rate of return (IRR) (Internal Rate of in the present embodiment
Return, IRR).
Step 104, the distance values for changing photovoltaic array spacing L, pair with different photovoltaic array spacing L, execute step successively
101 to step 103, to obtain the corresponding investment yields of different photovoltaic array spacing L.
Step 105, from the corresponding investment yields of different photovoltaic array spacing L, maximum investment yield is corresponding
Photovoltaic array spacing L and candidate inclination angle, are identified as target spacing and target-angle.
In the present embodiment, using Random Walk Algorithm, calculating is iterated to photovoltaic array spacing and photovoltaic array inclination angle,
So that investment yield maximizes.Since there is no limit can be with for the setting of the initial value at photovoltaic array spacing and photovoltaic array inclination angle
It, can be with so that optimization the space target-angle and target spacing that can not be limited, therefore obtain be more close to optimum parameter value
So that investment yield maximizes.
Derivation of the technical scheme based on mathematical relationship between photovoltaic system budgetary estimate and installed capacity, therefore, target is inclined
The limitation of the parameters such as the selection of angle and target spacing and photovoltaic module, inverter, cantilever type type selecting, can be to different photovoltaic groups
Part, inverter, cantilever type type selecting carry out the determination of optimal parameter using same calculating logic.
In addition, technical scheme is judged based on computer logic, using the iterative calculation of PVsyst softwares as core,
The degree of automation is higher, and artificial workload can be greatly lowered.
Illustratively, the numerical procedure in the application is carried out detailed by taking a specific photovoltaic system optimization as an example below
Thin description.
Assuming that：Project static state gross investment is S, and project capacity is P, it is assumed that a certain project existence function relationship S=S (P),
The budgetary estimate of project can be decomposed into：
Formula one：S=S (P) | P=P0+ (P-P0) * dS (P)/dP | P=P0+o (P)；Wherein, P0 is the initial term of project
Mesh capacity, S (P) | P=P0 is static investment under initial project capacity, dS (P)/dP | P=P0 is invested when being capacity increase
Change rate, o (P) be investment corresponding to volume change higher order term.
When the access system form of project is constant, it is assumed that the static total throwing of project brought by volume change in photovoltaic plant
The variation for providing S is mainly linear segment, and o (P) item is ignored in above-mentioned formula one, i.e., is decomposed into project static state gross investment initially
Static investment S (P) under project capacity | P=P0, and, with linear relevant portion investment (P-P0) * dS (the P)/dP of capacity | P=
P0。
The linear relevant portion investment of capacity includes mainly with lower part：Single watt of photovoltaic module, inverter, header box, transformation
The equipment prices such as device, cable, holder, pile foundation, static reactive generator (Static Var Generator, SVG), can basis
The corresponding form specification of country of feasibility study and the real-time valuation stored in the relevant engineering valuation expense of capacity or server
Expenses statement.
Static investment under initial project capacity includes mainly：Stand area's electrical equipment (in addition to main transformer electric equipment and SVG), soil
Ground expropriation of land leased land total price, the price etc. of project's earlier stage development cost and access system circuit.
According to assumed above, the static investment S (P) in the case where completing photovoltaic system initial project capacity | the calculating of P=P0 it
Afterwards, can be classified to the susceptibility of capacity according to general expenses, find out change rate dS (the P)/dP invested when capacity increase | P
=P0, specific implementation are as follows：
Photovoltaic system optimization method flow chart based on Random Walk Algorithm is illustrated in figure 2 in the application, including：
S1, the arrangement form for determining photovoltaic array, photovoltaic module, inverter, cantilever type and horizon shade.
S2, set photovoltaic array see away from initial spacing as L0, find out P0, S (P0), dS (P)/dP | P=P0 and S (P) | P
=P0.
Spacing is originated between photovoltaic array and may be set to arbitrary value L0, and the lower boundary of its random walk, which is set as project, to be permitted
Perhaps minimum spacing overhauls required minimum range spacing (requiring to reserve the access path of 1m as the project of ground), top
Boundary can be manually set (being the corresponding array pitch of project minimum installed capacity as being manually set).It is determined at this time according to arrangement form
Installed capacity, capacity at this time is set as P0, summarizes quantities and approximate estimation sheet, finds out S (P0), dS (P)/dP | P=P0 and S
(P) | P=P0.
S3, the personal ratio of estimation and alternating current-direct current cable voltage drop.
According to the estimation length estimate of station electricity consumption situation and cable from electricity consumption ratio and alternating current-direct current cable voltage drop.
S4, the initial value at photovoltaic array inclination angle is set as M0, it is cloudy according to P0, personal ratio, alterating and direct current pressure drop, horizon
Shadow finds out project gross generation, and calculates investment yield.
The initial value at photovoltaic array inclination angle may be set to arbitrary value M0, and the lower boundary of its random walk is set as to consider inspection
The admissible minimum angle-of-incidence of the project of dust accumulation (generally 5 °) is repaiied, drains and prevents, coboundary can be manually set.By project
The horizon shade at scene, dust influences, electricity consumption of stand, cable loss etc. input PVsyst, then by script will in step S2 it is true
Fixed original array spacing is automatically imported PVsyst with initial tilt and is modeled, and calculates the per kilowatt power generation of model at this time
Amount is stored in by script in computer storage T1.
S5, fixed current photovoltaic array spacing, change its inclination angle M, using Random Walk Algorithm until photovoltaic system hair
Electricity is maximum.
Random walk is carried out to photovoltaic array inclination angle by script, is carried out being brought into again in PVsyst after+1 ° of initial angle
It calculates, with memory T1 numerical value compared automatically after calculating generated energy, into iterative process：As generated energy increases
Add, then further increases angle；If generated energy is reduced, then angle is reduced, until the admissible minimum angle-of-incidence of project；Such as generated energy
Constant, then the array inclination angle in previous parameter thus complete by the optimum angle of incidence corresponding to array pitch, iteration.By correlation at this time
Parameter is stored in by script in computer storage T2.
S6, calculate investment yield under current photovoltaic array spacing, and with corresponding to a upper photovoltaic array spacing
Investment yield is compared.
Per kilowatt generated energy in memory T2 is multiplied by initial project capacity P0, calculates project year gross generation, knot
Counted static investment S0 in step S2 is closed, Analysis of Economic Evaluation is carried out by script automatically, calculates to obtain project investment earning rate.It will
IRR at this time is automatically credited by script in computer storage T3.
S7, photovoltaic array spacing is changed using Random Walk Algorithm, finds out its corresponding P and S (P).
Random walk is carried out to photovoltaic array spacing by script, is brought into again after spacing L is become L=L0+0.1m
Calculated that (for larger project, project capacity can be similar to P0* (L0)/(L0+0.1m), gross investment in PVsyst
It is similar to S=S (P) | P=P0+dS (P)/dP | P=P0* (1- (L0)/(L0+0.1m)) * P0), according to step S5 re-optimizations
Angle calculates project year gross generation at this time.The investment yield under this parameter, and and memory are calculated further according to step S6
Data in T3 are compared, into iterative process：If investment yield increases, then photovoltaic array spacing is further increased；Such as
Investment yield is reduced, then reduces photovoltaic array spacing (until the admissible minimum spacing of project)；If investment yield is constant,
Then the optimal array pitch and optimum angle of incidence corresponding to project, iteration are completed thus for previous spacing and its optimum array inclination angle.
S8, when investment yield be maximum value when, stop iterative calculation, export photovoltaic array spacing at this time and photovoltaic battle array
Arrange inclination angle.
S9, photovoltaic system optimization design is carried out according to the photovoltaic array spacing obtained in step S8 and photovoltaic array inclination angle,
Obtain most red budgetary estimate result and economic evaluation data.
Based on above step S8, the optimum results of obtained photovoltaic array spacing and inclination angle are subjected to refinement, in detail
Cable and road engineering amount are calculated, the accurate budgetary estimate of project and economic evaluation data are obtained.
For example, certain project initial parameter combine (L0=5.0m, M0=5 °) under the conditions of installed capacity be
18830.1kW, static gross investment is 14157.28 ten thousand yuan under initial parameter, is divided into variable part and constant according to capacity correlation
It (includes photovoltaic field civil engineering, equipment and mounting cost, partial switch station equipment that part, wherein variable part, which are 10276.36 ten thousand yuan,
Expense), calculate to obtain dS (P)/dP | ten thousand yuan/18830.1kW=5.48 of P=P0=10276.36 members/W.Using the random trip of 0.5m
Step-length is walked, the gross investment under different array pitch L is calculated according to following formula：S=S (P) | P=P0+ (P-P0) * dS (P)/dP |
P=P0+o (P).
1, the gross investment being calculated such as the following table 1：Table 1
| Title | Scheme one | Scheme two | Scheme three | Scheme four |
| Photovoltaic array spacing (unit：m) | 5.0 | 5.5 | 6.0 | 6.5 |
| Inclination angle optimum results (unit：°) | 12° | 14° | 14° | 15° |
| Capacity (kW) | 18830.1 | 17112.0 | 15690.6 | 14490.0 |
| Static kilowatt of investment (member/kW) of unit | 7665.79 | 7814.63 | 7958.03 | 8101.06 |
2, in the investment according to generated energy and different schemes under different photovoltaic module difference spacing, in conjunction with economic evaluation mould
Type, earning rate such as the following table 2 under different spacing arrangements：
Table 2
3, the lower earning rate of photovoltaic module difference spacing arrangement and unit static investment variation tendency are as shown in Figure 3.
4, the optimized parameter scheme that project is found out according to the above method is：(L0=5.0m, M0=12 °).
Photovoltaic array spacing in the application and the computational methods at inclination angle are described in detail above, below to the application
Middle computing device is described in detail.
As shown in figure 4, computing device 40 includes in the embodiment of the present application：
First computing module 401, the first determining module 402, the second computing module 403, calling module 404 and second determine
Module 405；
First computing module 401, using Random Walk Algorithm, changes for keeping photovoltaic array spacing L constant equal to L0
The angle value of photovoltaic array inclination angle M is iterated calculating, to obtain same photovoltaic array spacing, light under different photovoltaic array inclination angle
The per kilowatt generated energy of volt system；
First determining module 402 is used for when per kilowatt generated energy is maximum value, by the corresponding photovoltaic array of maximum value
Inclination angle M is determined as candidate inclination angle when photovoltaic array spacing is L0；
Second computing module 403, for obtaining full investment return when photovoltaic array spacing is L0 according to maximum value calculation
Rate investment yield；
Calling module 404, for changing the distance values of photovoltaic array spacing L, for different photovoltaic array spacing L, successively
The first computing module, the first determining module and the second computing module are called, is received with obtaining investment when different photovoltaic array spacing L
Beneficial rate；
Second determining module 405 is used for from the corresponding investment yields of different array pitch L, by maximum investment return
Rate is worth corresponding photovoltaic array spacing L and candidate inclination angle, is identified as target spacing and target-angle.
In a kind of example, the value range of photovoltaic array spacing L is [Lmin, Lmax], wherein Lmin and Lmax is pre-
The distance values first set.
In a kind of example, the value range of photovoltaic array inclination angle M is [Mmin, Mmax], wherein Mmin and Mmax is pre-
The angle value first set.
In a kind of example, the second computing module 403 is specifically used for：
Investment yield when determining that photovoltaic array spacing is L0 according to the installed capacity of photovoltaic system and maximum value.
As shown in figure 5, in a kind of example, except the first computing module 501, the first determining module 502, the second computing module
503, except calling module 504 and the second determining module 505, computing device 50 further includes：Third determining module 506；
Third determining module 506, the installed capacity for determining photovoltaic system according to the arrangement form of photovoltaic system.
The advantageous effect of computing device and other associated descriptions are similar with the description in above-mentioned computational methods in the application, tool
Body sees the associated description in the embodiment of above-mentioned computational methods, and to this, details are not described herein again.
As shown in fig. 6, the embodiment of the present application also provides a kind of computing devices 60, including：
Memory 601 and processor 602；
Memory 601 may include read-only memory and random access memory, and provide instruction sum number to processor 602
According to.The a part of of memory 601 can also include nonvolatile RAM (non-volatile random
Access memory, NVRAM).
Memory 601 stores following element, executable modules or data structures either their subset or
Their superset：
Operational order：Including various operational orders, for realizing various operations；
Operating system：Including various system programs, for realizing various basic businesses and the hardware based task of processing.
Processor 602 is executed corresponding in above-mentioned Fig. 1 to Fig. 2 by calling the operational order stored in memory 601
Computational methods.
The method that above-mentioned the embodiment of the present application discloses can be applied in processor 602, or be realized by processor 602.
Processor 602 may be a kind of IC chip.During realization, each step of the above method can pass through processor
The integrated logic circuit of hardware in 602 or the instruction of software form are completed.Above-mentioned processor 602 can be general procedure
Device, digital signal processor (digital signal processing, DSP), application-specific integrated circuit (application
Specific integrated circuit, ASIC), ready-made programmable gate array (field-programmable gate
Array, FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.It can be with
Realize or execute disclosed each method, step and the logic diagram in the embodiment of the present application.General processor can be micro- place
It can also be any conventional processor etc. to manage device or the processor.The step of method in conjunction with disclosed in the embodiment of the present application
Hardware decoding processor can be embodied directly in and execute completion, or in decoding processor hardware and software module combination hold
Row is completed.Software module can be located at random access memory, flash memory, read-only memory, programmable read only memory or electrically erasable
In the storage medium for writing this fields such as programmable storage, register maturation.
Computer operation is stored with present invention also provides a kind of computer storage media, in the computer storage media to refer to
It enables, so that when computer is run, executes corresponding computational methods in above-mentioned Fig. 1 to Fig. 2.Specifically, above computer is deposited
Storage media can be above-mentioned memory 601.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The above, above example are only to illustrate the technical solution of the application, rather than its limitations；Although with reference to before
Embodiment is stated the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, each embodiment technical proposal scope of the application that it does not separate the essence of the corresponding technical solution.
Claims (12)
1. a kind of photovoltaic array spacing and the computational methods at inclination angle, which is characterized in that including：
Step 1：It keeps photovoltaic array spacing L constant equal to L0, using Random Walk Algorithm, changes the angle of photovoltaic array inclination angle M
Angle value is iterated calculating, to obtain same photovoltaic array spacing, the per kilowatt of photovoltaic system under different photovoltaic array inclination angle
Generated energy；
Step 2：When the per kilowatt generated energy is maximum value, the corresponding photovoltaic array inclination angle M of the maximum value is determined
Candidate inclination angle when for photovoltaic array spacing being L0；
Step 3：Investment yield when photovoltaic array spacing is L0 is obtained according to the maximum value calculation；
The distance values for changing the photovoltaic array spacing L execute above-mentioned steps 1 to step 3 for different photovoltaic array spacing L,
To obtain the corresponding investment yields of different photovoltaic array spacing L；
From the corresponding investment yields of the difference array pitch L, maximum investment yield is worth between corresponding photovoltaic array
Away from L and candidate inclination angle, it is identified as target spacing and target-angle.
2. according to the method described in claim 1, it is characterized in that, the value range of the photovoltaic array spacing L be [Lmin,
Lmax], wherein the Lmin and Lmax is preset distance values.
3. according to the method described in claim 1, it is characterized in that, the value range of the photovoltaic array inclination angle M be [Mmin,
Mmax], wherein the Mmin and Mmax is preset angle value.
4. according to the method in any one of claims 1 to 3, which is characterized in that
It is described that investment yield when photovoltaic array spacing is L0 is obtained according to the maximum value calculation, including：
Investment when determining that the photovoltaic array spacing is L0 according to the installed capacity of the photovoltaic system and the maximum value is received
Beneficial rate.
5. according to the method described in claim 4, it is characterized in that, the method further includes：
The installed capacity of the photovoltaic system is determined according to the arrangement form of the photovoltaic system.
6. a kind of computing device, which is characterized in that including：
First computing module, using Random Walk Algorithm, changes photovoltaic battle array for keeping photovoltaic array spacing L constant equal to L0
The angle value of row inclination angle M is iterated calculating, to obtain same photovoltaic array spacing, photovoltaic system under different photovoltaic array inclination angle
Per kilowatt generated energy；
First determining module is used for when the per kilowatt generated energy is maximum value, by the corresponding photovoltaic battle array of the maximum value
Row inclination angle M is determined as candidate inclination angle when photovoltaic array spacing is L0；
Second computing module is thrown for obtaining full investment yield when photovoltaic array spacing is L0 according to the maximum value calculation
Provide earning rate；
Calling module, the distance values for changing the photovoltaic array spacing L call different photovoltaic array spacing L successively
First computing module, first determining module and second computing module, when obtaining different photovoltaic array spacing L
Investment yield；
Second determining module is used for from the corresponding investment yields of the difference array pitch L, by maximum investment yield value
Corresponding photovoltaic array spacing L and candidate inclination angle, are identified as target spacing and target-angle.
7. device according to claim 6, which is characterized in that the value range of the photovoltaic array spacing L be [Lmin,
Lmax], wherein the Lmin and Lmax is preset distance values.
8. device according to claim 6, which is characterized in that the value range of the photovoltaic array inclination angle M be [Mmin,
Mmax], wherein the Mmin and Mmax is preset angle value.
9. the device according to any one of claim 6 to 8, which is characterized in that second computing module is specifically used for：
Investment when determining that the photovoltaic array spacing is L0 according to the installed capacity of the photovoltaic system and the maximum value is received
Beneficial rate.
10. device according to claim 9, which is characterized in that the computing device further includes：
Third determining module, the installed capacity for determining the photovoltaic system according to the arrangement form of the photovoltaic system.
11. a kind of computing device, which is characterized in that including：
Processor and memory；
The memory, for storing computer-managed instruction；
The processor executes any in the claims 1 to claim 5 for calling the computer-managed instruction
The computational methods of photovoltaic array spacing and inclination angle described in.
12. a kind of computer storage media, including computer-managed instruction, when the computer-managed instruction is transported on computers
When row so that computer executes the meter such as photovoltaic array spacing according to any one of claims 1 to 5 and inclination angle
Calculation method.
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| CN111460693A (en) * | 2020-04-27 | 2020-07-28 | 中冶华天南京电气工程技术有限公司 | Method for calculating optimal inclination angle and optimal interval for mounting photovoltaic module |
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| CN113392364A (en) * | 2021-08-17 | 2021-09-14 | 江苏中信博新能源科技股份有限公司 | Parameter calculation method of double-sided photovoltaic module system |
| CN113392364B (en) * | 2021-08-17 | 2021-11-05 | 江苏中信博新能源科技股份有限公司 | Parameter calculation method of double-sided photovoltaic module system |
| CN114638463A (en) * | 2021-12-17 | 2022-06-17 | 国网山东省电力公司潍坊供电公司 | Refined photovoltaic capacity configuration scheme generation method and system |
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