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CN-122022242-A - Photovoltaic array shadow avoidance and interval optimization calculation method and device

CN122022242ACN 122022242 ACN122022242 ACN 122022242ACN-122022242-A

Abstract

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic array shadow avoidance and interval optimization calculation method and device, which are used for collecting gradient, slope direction and altitude data of a photovoltaic field region and obtaining local horizontal plane total irradiation volume historical data; the method comprises the steps of determining electrical parameters of the photovoltaic array assembly, determining the optimal serial quantity of strings through formula calculation based on the electrical parameters, calculating the minimum row spacing of the photovoltaic array assembly through a spacing calculation model based on gradient, slope direction and altitude data and the electrical parameters, determining the optimal capacity ratio through power generation efficiency gain coefficient of the photovoltaic array assembly through power generation cost analysis, and outputting an optimized photovoltaic array arrangement scheme through shadow simulation verification by software.

Inventors

  • ZHANG YABIN
  • MAO QIANGQIANG
  • LIU JIAMIN
  • GAO XIANG
  • WANG DOU

Assignees

  • 大唐宝鸡热电厂

Dates

Publication Date
20260512
Application Date
20251218

Claims (10)

  1. 1. A photovoltaic array assembly shadow avoidance and interval optimization calculation method is characterized by comprising the following steps: s1, collecting gradient, slope direction and altitude data of a photovoltaic field region, and acquiring total irradiation volume historical data of a local horizontal plane; s2, determining electrical parameters of the photovoltaic array assembly based on the gradient, the slope direction and the altitude data; s3, based on the electrical parameters, determining the optimal serial number of the group strings through formula calculation; s4, calculating the minimum row spacing of the photovoltaic array assembly through a spacing calculation model based on the gradient, the slope direction, the altitude data and the electrical parameters; S5, combining the power generation efficiency gain coefficient of the photovoltaic array assembly, and determining the optimal capacity ratio through power generation cost analysis; S6, performing shadow simulation verification through software, and outputting the optimized photovoltaic array arrangement scheme.
  2. 2. The photovoltaic array shadow avoidance and pitch optimization calculation method according to claim 1, wherein in the step S3, the expression of the optimal number of series is: Wherein S is the serial number, V dc max is the maximum direct current input voltage of the inverter, V oc is the open-circuit voltage of the photovoltaic array component, t is the limit low temperature of the photovoltaic array component under the working condition, and K V is the open-circuit voltage temperature coefficient.
  3. 3. The photovoltaic array shadow avoidance and pitch optimization calculation method according to claim 2, wherein the parameter values in the expression include that the maximum direct current input voltage V dc max of the inverter is 1500V, the open circuit voltage V oc of the photovoltaic array component is 51.10V, the limit low temperature t of the photovoltaic array component under the working condition is-29.0 ℃, and the open circuit voltage temperature coefficient K V is-0.25%/°.
  4. 4. The photovoltaic array shadow avoidance and pitch optimization calculation method according to claim 1, characterized in that in step S4, the pitch calculation model comprises: the horizontal site spacing calculation formula: slope site model: Dn=L(sin βcos b+cosβtanα)/(tanα+cosbtanγ); Wherein D is the horizontal site spacing of the photovoltaic array assembly, L is the inclined length of the photovoltaic array assembly, beta is the inclined angle of the photovoltaic array assembly, phi is the local latitude, alpha is the solar altitude, b is the solar azimuth, and gamma is the slope gradient.
  5. 5. The photovoltaic array shadow avoidance and pitch optimization calculation method according to claim 4, wherein the inclination angle β of the photovoltaic array module is 28 °, the local latitude Φ is determined according to the geographic location of the photovoltaic array module, and the solar altitude angle α and the azimuth angle b are calculated based on a winter-to-day 9:00 to 15:00 time period.
  6. 6. A photovoltaic array assembly shadow avoidance and interval optimization computing device is characterized by comprising: The data acquisition module (1) is used for acquiring gradient, slope direction and altitude data of the photovoltaic field region and acquiring total irradiation volume historical data of a local horizontal plane; An electrical parameter determining module (2) for determining electrical parameters of the photovoltaic array assembly based on the grade, slope direction, altitude data; The minimum line spacing calculation module (4) is used for calculating the minimum line spacing of the photovoltaic array component through a spacing calculation model based on the gradient, the slope direction, the altitude data and the electrical parameters; the capacity ratio determining module (5) is used for determining the optimal capacity ratio through the power cost analysis by combining the power generation efficiency gain coefficient of the photovoltaic array assembly; And the shadow simulation verification module (6) is used for performing shadow simulation verification through software and outputting an optimized photovoltaic array arrangement scheme.
  7. 7. The photovoltaic array module shadow avoidance and pitch optimization calculation device according to claim 6, wherein in the series number calculation module (3), the expression of the optimal series number is: Wherein S is the serial number, V dc max is the maximum direct current input voltage of the inverter, V oc is the open-circuit voltage of the photovoltaic array component, t is the limit low temperature of the photovoltaic array component under the working condition, and K V is the open-circuit voltage temperature coefficient.
  8. 8. The photovoltaic array module shadow avoidance and pitch optimization calculation device according to claim 7, wherein the parameter values in the expression include that the maximum direct current input voltage V dc max of the inverter is 1500V, the open circuit voltage V oc of the photovoltaic array module is 51.10V, the limit low temperature t of the photovoltaic array module under the working condition is-29.0 ℃, and the open circuit voltage temperature coefficient K V is-0.25%/°.
  9. 9. The photovoltaic array assembly shadow avoidance and pitch optimization computing device of claim 8, wherein in the minimum line pitch computing module (4), the pitch computing model comprises: the horizontal site spacing calculation formula: slope site model: Dn=L(sinβcos b+cosβtanα)/(tanα+cosbtanγ); Wherein D is the horizontal site spacing of the photovoltaic array assembly, L is the inclined length of the photovoltaic array assembly, beta is the inclined angle of the photovoltaic array assembly, phi is the local latitude, alpha is the solar altitude, b is the solar azimuth, and gamma is the slope gradient.
  10. 10. The photovoltaic array module shadow avoidance and pitch optimization computing device of claim 9, wherein the photovoltaic array module tilt angle β is 28 °, the local latitude Φ is determined according to the geographic location of the photovoltaic array module, and the solar altitude angle α and azimuth angle b are calculated based on a winter to day period of 9:00 to 15:00.

Description

Photovoltaic array shadow avoidance and interval optimization calculation method and device Technical Field The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic array shadow avoidance and interval optimization calculation method and device. Background With the wide application of solar power generation technology, the construction scale of photovoltaic power stations is continuously enlarged, and the power generation efficiency and the economy thereof become core problems of industrial concern. The arrangement rationality of the photovoltaic array components directly influences the power generation effect, wherein shadow shielding is one of key factors limiting the power generation efficiency, if the distance between adjacent photovoltaic array components is too small, mutual shielding is easy to generate in a period with a lower solar altitude angle (such as winter), so that the output power of the components is reduced, and if the distance is too large, land resource waste is caused, and the construction cost of a power station is increased. Meanwhile, the series quantity of the photovoltaic array strings is directly related to the suitability of the inverter, if the series quantity is too large, the open-circuit voltage of the assembly in a low-temperature environment is increased to possibly exceed the maximum direct-current input voltage threshold of the inverter, equipment damage is caused, and if the series quantity is too small, the string output voltage is reduced, and the power generation efficiency is affected. Disclosure of Invention The invention aims to provide a photovoltaic array shadow avoidance and interval optimization calculation method and device, which realize the collaborative optimization of the series quantity, the minimum row interval and the optimal capacity ratio of photovoltaic array components, adapt to the level and the sloping field and ensure the efficient and stable operation of a power station in the whole life cycle. In order to achieve the technical effects, the technical scheme adopted by the invention is that the photovoltaic array component shadow avoidance and interval optimization calculation method comprises the following steps: s1, collecting gradient, slope direction and altitude data of a photovoltaic field region, and acquiring total irradiation volume historical data of a local horizontal plane; s2, determining electrical parameters of the photovoltaic array assembly based on the gradient, the slope direction and the altitude data; s3, based on the electrical parameters, determining the optimal serial number of the group strings through formula calculation; s4, calculating the minimum row spacing of the photovoltaic array assembly through a spacing calculation model based on the gradient, the slope direction, the altitude data and the electrical parameters; S5, combining the power generation efficiency gain coefficient of the photovoltaic array assembly, and determining the optimal capacity ratio through power generation cost analysis; S6, performing shadow simulation verification through software, and outputting the optimized photovoltaic array arrangement scheme. As a preferred embodiment, in the step S3, the expression of the optimal number of series is as follows: Wherein S is the serial number, V dcmax is the maximum direct current input voltage of the inverter, V oc is the open-circuit voltage of the photovoltaic array component, t is the limit low temperature of the photovoltaic array component under the working condition, and K V is the open-circuit voltage temperature coefficient. As a preferred embodiment, the parameter values in the expression comprise that the maximum direct current input voltage V dcmax of the inverter is 1500V, the open-circuit voltage V oc of the photovoltaic array component is 51.10V, the limit low temperature t of the photovoltaic array component under the working condition is-29.0 ℃, and the open-circuit voltage temperature coefficient K V is-0.25%/DEGC. As a preferred embodiment, in step S4, the pitch calculation model includes: the horizontal site spacing calculation formula: slope site model: Dn=L(sinβcosb+cosβtanα)/(tanα+cosbtanγ); Wherein D is the horizontal site spacing of the photovoltaic array assembly, L is the inclined length of the photovoltaic array assembly, beta is the inclined angle of the photovoltaic array assembly, phi is the local latitude, alpha is the solar altitude, b is the solar azimuth, and gamma is the slope gradient. In a preferred embodiment, the inclination angle beta of the photovoltaic array component is 28 degrees, the local latitude phi is determined according to the geographical position of the photovoltaic array component, and the solar altitude angle alpha and the azimuth angle b are calculated based on a time period from 9:00 to 15:00 in winter. The invention also provides a photovoltaic array component shadow avoidance and interval op