A kind of mppt control method of photovoltaic power generation system

Abstract

This application is an MPPT control method for a photovoltaic power generation system. According to the different shading conditions of the photovoltaic array, different algorithms are used to track the maximum power point of the photovoltaic power generation system; when the sunlight intensity changes slowly, the particle swarm optimization algorithm is used for local optimization. ; When the solar intensity changes drastically, the adaptive radial motion optimization algorithm is used for global search. When using the adaptive radial motion optimization algorithm for global search, it starts the optimization process by dispersing multiple particles in a predefined search space, taking discrete particles as the optimal solution, and the particles move along a radius around the center at different speeds , use the objective function to calculate the fitness value of each particle in the optimization process, and determine the position of the best particle to obtain the maximum power point of the photovoltaic power generation system. The technical solution of the invention has higher accuracy and optimization ability, and the algorithm requires smaller memory and faster calculation speed, and is suitable for large and complex search spaces.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to an MPPT control method of a photovoltaic power generation system. Background technique [0002] With the transformation of society and the country's vigorous promotion of energy reform, new energy power generation technology has become increasingly important, and photovoltaic power generation systems have become one of the rapidly developing technologies due to their clean energy and low maintenance costs. Since the photovoltaic power generation system must be installed outdoors, bypass diodes are usually used to protect the battery pack from overheating and damage to the battery pack. However, bypass diodes and series-connected modules are easy to cause the photovoltaic power generation system to output multiple peaks, which reduces the photovoltaic output efficiency of the conventional technology. Therefore, methods such as perturbation, obser...

AI Technical Summary

Problems solved by technology

However, these methods are computationally expensive and have limitations in terms of fuzzification, rule base, defuzzification and training process

The standard format of the traditional particle swarm optimization algorithm has strong dependence on random coefficients, slow convergence speed, and long tracking time, and the controller must record particle motion, which leads to large memory usage and large calculation load.

At present, many studies try to solve these problems by modifying the standard particle swarm optimization algorithm and improving the performance of the algorithm. However, there are still some defects in the improved algorithm.

However, the existing methods have high algorithm complexity and long processing time, and do not achieve the optimal effect.

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