Particle Swarm Optimization Algorithm And Its Applied Researach In Three-Phase Inverter Control

In order to make the inverter output of high quality,stable and reliable electricity,inverter control parameters in the inverter control plays a decisive role.Conventional parameters setting methods need a lot of experience about parameters setting,and need a lot of time.The intelligent parameter setting methods such as fuzzy control also need the rich experience.For neural network control,which is affected by the initial value.Particle Swarm Optimization algorithm(PSO),without experience guidance,simple structure,convenient operation,is the hotspot in research of parameter optimization.This paper focuses on the improvement of PSO,and in the application of inverter power supply control and power supply in parallel control.This paper mainly do the following several aspects.(1)Analyzing the kinds of control modes of three phase inverter indetail,such as Proportional Integral(PI),Quasi Proportional Resonant(QPR),and droop control.And establish the corresponding mathematical model.(2)In view of the inverter control in traditional droop control used in parallel cannot be decoupled.In this paper,the active and reactive power decoupling droop control is proposed,which Implements the decouple of active and reactive power,and is verified by simulation experiments.(3)According to the flaws of the PSO,improving PSO.The improved PSO algorithm can be called PSO with Multi-swarm and Multiple Velocity Update Methods(MMPSO).Analysising the significance and the effect of particle groups and multiple speed update methods in detail.(4)Setting up a corresponding MMPSO offline optimization model(Optimization model based on the different control of three-phase inverter,and Optimization model based on different droop control inverter in parallel).Giving the optimized parameters and optimal interval.taking a combination of simulation and experiment,and proving the validity of the optimization of parameters.In this paper,through analysis of simulation and experimental results,the results show that the improved PSO is designed to optimize the better control parameters.Ensuring the inverter can be stable when working alone and parallel operation,and meeting design requirements.