MPPT control method for photovoltaic power generation system

Abstract

According to the MPPT control method for the photovoltaic power generation system, different algorithms are adopted to track the maximum power point of the photovoltaic power generation system according to different shielded conditions of a photovoltaic array; when the sunlight intensity changes slowly, local optimization is performed by adopting a particle swarm optimization algorithm; and when the sunlight intensity changes drastically, global search is carried out by adopting a self-adaptive radial motion optimization algorithm. When global search is carried out by adopting a self-adaptiveradial motion optimization algorithm, an optimization process is started by dispersing a plurality of particles in a predefined search space, the discrete particles are taken as an optimization solution, the particles move along the radius around the center at different speeds, the fitness value of each particle in the optimization process is calculated by utilizing a target function, and the position of the optimal particle is determined to obtain the maximum power point of the photovoltaic power generation system. According to the technical scheme, the method has higher accuracy and optimization capability, the memory required by the algorithm is smaller, the calculation speed is higher, and the method is suitable for large and complex search space.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to an MPPT control method for 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 is becoming more and more important, and photovoltaic power generation system has become one of the rapidly developing technologies due to its 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. However, bypass diodes and series-connected modules easily lead to multiple output peaks of the photovoltaic power generation system, which reduces the photovoltaic output efficiency of conventional technologies. Therefore, methods such as perturbation, observation and adjustment (P&O...

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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