Rail-mounted photovoltaic power station intelligent operation and maintenance system and method based on fish swarm algorithm

Abstract

The invention discloses a rail-mounted photovoltaic power station intelligent operation and maintenance system and method based on a fish swarm algorithm. The photovoltaic assemblies are obliquely installed on the horizontal ground, the photovoltaic assemblies are arranged at equal intervals, the columns of photovoltaic assemblies are arranged into a photovoltaic assembly array, a longitudinal conveying track is arranged on the side of each column of photovoltaic assemblies, the two ends of each column of longitudinal conveying track are connected to the two transverse conveying tracks, and starting point ends are arranged on the transverse conveying tracks; the butt joint platform is installed on the longitudinal conveying rail / the transverse conveying rail in a sliding mode, and the operation and maintenance robot is embedded in a groove rail of the butt joint platform. The butt joint platform surface and each photovoltaic assembly are located on the same inclined plane, and the topends of the photovoltaic assemblies are flush with the top end of the butt joint platform surface. According to the invention, the optimal number and paths of operation and maintenance robots requiredby photovoltaic power stations of different scales are obtained through a simple and easy-to-implement rail connection mode and planning method and an artificial fish swarm algorithm, so that the manual operation and maintenance loss is effectively reduced, the operation and maintenance efficiency is improved, and intelligent operation and maintenance are realized.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic modules, and relates to a photovoltaic power station operation and maintenance robot control system and a control method, in particular to an orbital photovoltaic power station intelligent operation and maintenance system and operation and maintenance planning method based on fish swarm algorithm. Background technique [0002] In the case of the depletion of traditional energy, more and more countries choose clean energy to replace the energy demand of human beings. The new energy power generation industry continues to develop, and photovoltaic power stations continue to emerge. However, the photovoltaic power station is exposed to the air for a long time, and the upper surface of the photovoltaic module is easy to accumulate dust, or is blocked by opaque objects such as leaves, resulting in a local hot spot effect. Severe hot spot effect can lead to partial burning of the battery module, the ...

AI Technical Summary

Problems solved by technology

However, the photovoltaic power station is exposed to the air for a long time, and the upper surface of the photovoltaic module is easy to accumulate dust, or is blocked by opaque objects such as leaves, resulting in a local hot spot effect. Severe hot spot effect can lead to partial burning of the battery module, the formation of dark spots and other permanent damage, which in turn leads to a reduction in the power generation efficiency of the entire system

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