ZHOU Xiangjie, YUAN Xiaofang, YANG Ling. Design and simulation analysis of self-adaptive photovoltaic support for photovoltaic power station[J]. Thermal power generation, 2020, 49(6): 84-89.
ZHOU Xiangjie, YUAN Xiaofang, YANG Ling. Design and simulation analysis of self-adaptive photovoltaic support for photovoltaic power station[J]. Thermal power generation, 2020, 49(6): 84-89. DOI: 10.19666/j.rlfd.202001010.
The current PV support structure can not completely solve the problems of stability and continuity of solar power generation.In this paper
a new type of panel foldable tracking photovoltaic support is proposed.In view of the special strong wind weather in Hainan Province
a grid connected photovoltaic power station model is established.Considering the local meteorological environment in Hainan Province
the load on the photovoltaic support is analyzed
and static analysis of the photovoltaic support is carried out by finite element method.To grasp the dynamic characteristics of photovoltaic support structure
the first six modes of the photovoltaic support are calculated.The results show that
this support has the functions of intelligent light tracing and active wind avoidance
which solves the problems of low rigidity and poor wind resistance of the traditional pole type light tracing photovoltaic panel bracket.Adopting the hybrid light tracing mode of photoelectric and program type to detect the height and orientation of sunlight can not only ensure the accuracy of the light tracing system
but also maintain high stability.Under the action of horizontal wind and vertical wind
the self-adaptive photovoltaic support can meet the strength requirements of 12-level wind speed.The first order frequency is 9.84 Hz
which is far higher than the actual wind frequency
it is not easy to cause the damage of wind-induced resonance and has good stability.