Collaborative Optimal Operation Of Hybrid AC/DC Microgrid With High-Proportion Renewable Energy

With the rapid development of society,the demand for electric energy is increasing.With the increasingly prominent energy and environmental problems,microgrid has gradually become a research hotspot in the academic field due to its advantages of environmental friendliness,high utilization rate of renewable energy,strong structural extension and functional expansibility.Considering distributed power output and load’s volatility,load variety,DC load increasing accounted for such factors as,AC/DC hybrid micro network for better integration of micro communication network and the advantages of dc micro netw ork through flexible AC or DC transform to meet the demand of the user’s paraphrase to,has become the current hot topic in the field of micro network.AC/DC hybrid microgrid with high proportion of renewable energy is becoming an important research scene in the world,which brings new challenges to the planned operation of power system.This thesis focuses on the optimization of AC/DC hybrid microgrid with high proportion of renewable energy.Firstly,the background and significance of the research are introduced,as well as the development trends and research status of AC/DC hybrid microgrids at home and abroad.Taking into account the different operation modes of microgrid,this thesis constructs the grid-connected optimization model and the island-connected optimization model respectively.In the grid-connected optimization model,economy and environmental protection are taken into comprehensive consideration.In the island-connected optimization model,in addition to economy and environmental protection,flexibility and coordination optimization should also be considered.Multi-factor evolutionary algorithm can solve multi-task simultaneously in heterogeneous search space because of the fusion of selection mating and vertical cultural transmission,and th e similarity between different task solution genes was used to accelerate the solution.In grid-connected and island mode,some model parameters of the two optimization tasks are the same,and the system structure is similar.Therefore,the multi-factor evolutionary algorithm is introduced to solve the optimal operation of AC-DC hybrid microgrid for the first time.Finally,compared with the improved genetic algorithm,a numerical example shows that the multi-factor optimization algorithm can effectively improve the convergence speed,optimize the economic cost and flexibility of the AC-DC hybrid microgrid,and is more suitable for the actual operation of the AC-DC hybrid microgrid.Then,in view of the intermittent energy power generation and load in AC/DC hybrid micro network the volatility and uncertainty of demand,choose grid model as the basic scenario,from two aspects: yesterday and days of consideration,puts forward the AC/DC hybrid micro multi time scale is collaborative optimization method,based on 863 demonstration project actual calculation example and multiple factor algorithm,through the simulation to verify the accuracy of the result.