Research On Microgrid Based On Distributed Intelligence

Global energy markets are in transition.The increase in demand for different energy sources and the development of new energy sources and the use of distributed generation have become important means for government that various countries to save energy and reduce emissions and develop green energy.At the same time,under the common drive of social progress and environmental demand,the energy structure is shifting to a cleaner,lower-carbon direction.Photovoltaic power generation Micro-grid has received extensive attention due to its advantages of cleanliness,low carbon,flexibility,high utilization efficiency,and ease of storage and transportation.From a perspective of technology application of distributed artificial intelligence,this paper based on the analysis of the working mechanism of distributed artificial intelligence,making the distributed photovoltaic storage battery micro-grid system as the research object,it adopts the method of theoretical analysis,simulation and experimental verification,Respectively from four aspects: topological structure of distributed photovoltaic storage battery micro-grid system,multi-agent system research in distributed photovoltaic storage battery micro-grid system,collaborative control of distributed photovoltaic storage battery micro-grid system and experimental research on distributed photovoltaic storage battery micro-grid system based on multi-agent-system.And its specifics are as follows:First,the development and research status of micro-grid technology at home and abroad are analyzed.The working mechanism of distributed artificial intelligence is analyzed in depth.Taking multi-agent system technology as the research point,the multi-agent system is studied from the aspects of concept,characteristic,structure,communication and development based on JADE technology and other aspects.Second,based on multi-agent distributed photovoltaic storage battery micro-grid system,this dissertation explores its system topology,multi-agent structure and function.At the same time,it studies the topological structure,mathematical model and control strategy of single agent separately In this paper,the research on the PV controller unit,the bidirectional converter unit and the inverter unit are carried out.And this article focuses on the inverter intelligent control system,and develops corresponding control strategies for inverter intelligent off-grid,grid-connected and dual-mode switching operation.The control algorithm applied in the control strategyis optimized and analyzed.Based on the theoretical simulation analysis,the controller based on the repetitive control algorithm is designed.Finally,a simulation platform and an experiment platform are respectively set up for the inverter agent.According to the three operating processes of inverter off-grid,grid-connected and dual-mode switching,and from the theoretical simulation and experimental verification of two aspects of analysis respectively.The results of simulation and experimental verified the feasibility of the algorithm.Eventually,solved the problem of large THD of grid-connected current.