Research On Optimal Operation Of Hybrid AC/DC Microgrid

Hybrid AC/DC microgrid is a new type of microgrid that combines the advantages of AC microgrid and DC microgrid.Besides,hybrid AC/DC microgrid has the advantage of efficiently accepting distributed energy.Therefore,it is the research front in the field of power systems.Complex and diverse operating modes and renewable energy and the large-scale access cause the AC/DC hybrid microgrid to be more difficult to optimize than the conventional AC microgrid.This thesis focuses on the complex optimization problems existing in hybrid AC/DC microgrid,and firstly presents a similar day selection algorithm.Renewable energy generation forecasting algorithm composed of Elman neural network algorithm provides data foundation for optimal operation.Then,with the goal of minimizing the overall operating cost,an hybrid AC/DC microgrid containing large grid purchase/sales cost,micro-turbine fuel cost,energy storage operation cost,equipment maintenance cost,current section loss cost and load regulation cost has been established.Considering the operating mode of the microgrid,grid-connected and off-grid model optimization operation model have been established respectively.Since the Hybrid AC/DC microgrid optimization model is a multi-objective,multi-dimensional and nonlinear complex mathematical problem,this thesis presents a hybrid intelligent algorithm combining stochastic simulation and chaotic black hole algorithm to solve the optimization model.In this thesis,the optimized operation model of grid-connected and off-grid mode and chaotic black hole algorithm are verified by simulation,and the simulation results show that the proposed hybrid AC/DC microgrid optimization method can effectively solve the optimal operation problem,and it has a good academic research meaning and engineering application value.