A photovoltaic array mppt control method based on improved firefly algorithm

Abstract

The present invention proposes a photovoltaic array MPPT control method based on an improved firefly algorithm. The process includes: defining parameter meanings, initializing basic parameters; initial firefly positions; calculating the maximum fluorescence brightness of fireflies through objective function values; calculating the attraction of fireflies at the current moment. degree and relative fluorescence brightness; calculate the adaptive movement step size of the firefly at the current moment; update the firefly's position; recalculate the maximum fluorescence brightness of the firefly; if the search accuracy is met or the maximum number of iterations is reached and the restart conditions are not met, the algorithm ends to output the maximum power ; The present invention optimizes the maximum power point of the photovoltaic array, which can effectively avoid the power oscillation problem when the system tends to be stable, and can be better applied to MPPT under uniform illumination, partial shadows and variable shadows, avoiding algorithm traps It is local optimal and will not lose any extreme points, which improves the convergence speed and stability and is more practical.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to a photovoltaic array MPPT control method based on an improved firefly algorithm. Background technique [0002] At present, non-renewable energy is still the most important part of human energy utilization, accounting for about 90%, mainly coal, oil, natural gas, etc., but these fossil energy will be used in large quantities with the development needs of human society, and gradually Consume exhausted. Solar energy, as a renewable green energy, has the characteristics of no pollution and low cost, and has become the preferred energy to replace traditional energy. However, in practical applications, the output power of photovoltaic arrays in solar photovoltaic power generation systems presents nonlinear characteristics, and the output power will vary with sunlight and ambient temperature. Output voltage, the photovoltaic array can reach the maximu...

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Problems solved by technology

But these two algorithms have a common problem: the step size is fixed

When the firefly algorithm is directly used in the control algorithm of the photovoltaic array MPPT, there are two defects: the moving step is fixed and the initial position condition is random; Move the step size and skip the optimal value, but cannot find the optimal value accurately. The randomness of the initial position condition makes the fireflies may all gather on a suboptimal result, and it is impossible to find the real optimal solution

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