Cluster control method for solar photovoltaic power generation array

Abstract

The invention proposes a clustered control method for a solar photovoltaic power generation array. The method reduces the operation frequency of a POS algorithm on the basis of combination of the POS algorithm and a conductance increment method through a selection mechanism, so as to ensure that the POS algorithm comes into play and meanwhile the negative effect of the POS algorithm is reduced. The method has the benefits that the negative effect on a system by the POS algorithm can be reduced, the system stability is improved, and the search speed and efficiency at a maximum power point of a photovoltaic power generation system are improved.

Description

technical field [0001] The invention relates to a solar photovoltaic power generation technology, in particular to a cluster control method of a solar photovoltaic power generation array. Background technique [0002] attached figure 1 The curve shown is the P-V characteristic curve of a standard photovoltaic panel at 25°C (that is, the power-voltage curve described in this article). It can be seen from the figure that the maximum power point of photovoltaic panels will change with the change of illuminance. In order to maximize the working efficiency of solar panels, it is necessary to track the maximum power point in real time. Therefore, the maximum power point tracking technology ( MPPT) is one of the core technologies of photovoltaic power generation; [0003] It can be seen from the existing technology that the P-V curve of a solar panel is a single-peak curve when there is no shadow occlusion; in the case of partial shading, the P-V curve will have multiple extreme ...

AI Technical Summary

Problems solved by technology

The particle swarm optimization algorithm is a kind of MPPT algorithm with global search ability, which can solve the problem of multi-peak optimization. First, the PSO algorithm is used to adjust the voltage position of the P-V curve to the vicinity of the global maximum power point, that is, the global maximum power point is first Quickly search roughly, and then use the conductance incremental method (or interference observation method) to conduct a fine search, so as to reduce the search oscillation near the global maximum power point, so as to overcome the inability to obtain The global optimal problem; but this method also has disadvantages: due to the characteristics of the PSO algorithm itself, when using the PSO algorithm for rough search, it is necessary to randomly initialize the position of the global optimal particle, which will lead to the number of system oscillations during the early search There are many and the oscillation amplitude is large, and the harm brought about by this is that the impact on the control system components is large, the power waste is large, and the system stability will be reduced accordingly.

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