Research Of Hybrid Mppt Algorithm Based On Differential Evolution And Particle Swarm Optimization And Photovoltaic Controller Design

With the increasingly prominent contradictions between the ecological environment and social development,the development and application of new energy sources is imperative.Solar energy reserves are huge,and their development and utilization will not be limited by the region.With these advantages,solar power generation technology has important research value and wide application prospect.In the actual work of photovoltaic arrays,the power-voltage(P-V)characteristic curve may exhibit multiple peaks due to factors such as shadowing and faults.The existing differential evolution(DE)algorithm and particle swarm optimization(PSO)hybrid algorithm(DEPSO)has a slow convergence rate,and the circuit will generate large ringing and spike voltage during the convergence of the algorithm.In order to solve these problems,this thesis presents an improved DEPSO-P&O algorithm.Through Matlab simulation and hardware testing,this algorithm not only accelerates the speed of MPPT,but also effectively suppresses the ringing and spike voltage in the circuit.In addition,the existing low-power photovoltaic controllers have poor versatility and do not have the extension function.Therefore,this thesis has designed a low-power photovoltaic controller with greater versatility and more complete functions.Firstly,this thesis describes the background of photovoltaic power generation and the research status at home and abroad.Photovoltaic cell model was established in Matlab/Simulink to study its output characteristics in different external environments.Based on this,a 3*3 photovoltaic array model was built which uses series-parallel connection method.This thesis analyzes the topological structure and basic working principle of common DC/DC circuits,and finally selects the boost circuit to build an independent photovoltaic power generation system simulation model.Secondly,this thesis analyzes the significance and basic principle of MPPT algorithm.In the condition of single-peak,the constant voltage method,perturbation observation method,conductance increment method,and fuzzy control are simulated to analyze their advantages and disadvantages.In the condition of multi-peak,PSO and DE algorithm are simulated,and on this basis,DEPSO algorithm is introduced.Then,aiming at the existing problems of the existing DEPSO algorithm,this thesis adopts a new differential strategy,introduces the adaptive parameters,increases the individual population ordering,and then combines the perturbation observation method to propose an improved DEPSO-P&O algorithm.Through simulation and hardware experiments,the feasibility and effectiveness of this algorithm are verified.Finally,aiming at the shortage of existing low-power photovoltaic controllers,this thesis designs a new low-power photovoltaic controller with STM32 single-chip and integrated DC/DC chip.The photovoltaic controller drive circuit is simple,the output voltage can be digitally controlled;the maximum power point tracking can be achieved,and the utilization efficiency of the solar energy is increased;and increasing the RS485 interface is conducive to the development of the system.