MPPT control method based on improved quantum particle swarm algorithm

Abstract

The invention discloses an MPPT control method based on improved quantum particle swarm algorithm. Based on the quantum particle swarm algorithm, an improved quantum particle swarm algorithm is proposed. In the QPSO algorithm, the chaotic search strategy is added to form the JQPSO algorithm to realize the adaptive search of the algorithm. This improved strategy not only improves the convergence precision of the algorithm but also improves the convergence speed of the algorithm. In practical applications, due to the phenomena that a photovoltaic panel often experiences partial overshadowing and that the output voltage from a photovoltaic array output are likely to have multiple peaks, a traditional algorithm cannot track the maximum power point correctly under these conditions. Therefore, the JQPSO algorithm adopted by the invention tracks the maximum power point of the PV panel; through the adjustment of the duty cycle d of the switching power tube and through the use of the MATLAB / Simulink experiment, the simulation results show that the JQPSO is better to seek the optimization and the proposed JQPSO algorithm can find the maximum power point in the shortest possible time under the condition that the search accuracy is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to an MPPT control method based on an improved quantum particle swarm algorithm. Background technique [0002] Solar power is a very popular renewable energy source. Due to its advantages including low cost, environmental protection and simple maintenance, photovoltaic power generation systems have been adopted by many countries. Despite the high cost of battery components for solar power generation, photovoltaic power generation systems, especially in grid-connected power generation systems, have been commercialized in many countries, so their potential long-term benefits. At the same time, this technology is of great significance to improving the energy structure and reducing environmental pollution. [0003] However, the application of photovoltaic power generation systems has many problems that need to be solved urgently. One of the main issues is how to imp...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a MPPT control method based on the improved quantum particle swarm algorithm for the deficiencies of the background technology. This algorithm is applied to the maximum power point tracking of the photovoltaic system, which solves the problem of energy loss caused by the long output time and excessive output vibration caused by the change of the external environment and radiation when the traditional MPPT algorithm tracks the maximum power.

Images