Research On Control And Energy Flow Optimization Scheduling Technology Of Two-way Inverter For RV Microgrid

With the gradual depletion of energy and the increasing environmental pollution,green and distributed energy has become the focus of human attention.Microgrids have received much attention as the primary means of distributed power.This paper takes the rv microgrid as the research object-and studies the control strategy of the bidirectional inverter in the rv microgrid.On the basis of the maximum output power of the PV cell,the energy utilization efficiencv is maxirmized by optimizing the scheduling of the microgrid energy flow.At the sale time,the simulation is carried out by using Matlab to verify its rationality and feasibility.The main work done in this paper includes the following aspects:First the rv micro-grid design.Rv micro-grid structure includes photovoltaic power generation system,energy storage system,bi-directional dc-dc converter,bi-directional inverter,and based on the whole micro-grid system,the rv DC micro-grid and off-grid two working modes are analyzed.Secondly,the maximum power point tracking technology of solar power generation is studied,and an improved MPPT algorithm is detemined.The comparison and simulation between Matlab and traditional algorithm proves its high efficiency and accuracy.Then analyzed the bidirectional mveiter and bidirectional energy flow control method compared to the traditional PI control analysis of the principle and ad' antase of Peripheral Complex Integral control,set the PCI controller is applied to the research of double inveiler control,by comparison with the Matlab PCI with PI in and out of the net output voltage and current of the simulation results,proved that the control effect of PCI.Finally,on the basis of the maximum output power of photovoltaic cells,in order to maximize the energy utilization efficiency and economical,the optimization of microgrid energy scheduling is studied.The optimization model of microgrid energy scheduling is established,and the particle swarm optimization algorithm is determined.Based on Matlab optimization before and after simulation,the feasibility and economy of the optimization strategy are proved.