| The power generation efficiency of photovoltaic power generation equipment is easily disturbed by uncertain factors.With the extensive access of photovoltaic equipment in microgrid,the uncertainty of the source side of microgrid is enhanced.In addition,the uncertainty of the load side is also presented due to the change of factors such as users’ behavior and habits of using electricity.The reasonable formulation of microgrid operation strategy and the visual management of microgrid are also the key to the reasonable operation of microgrid.This paper has conducted an in-depth study on the above problems,and the main research contents are as follows:(1)Aiming at the prediction problem in microgrid,the data preprocessing operation is carried out on the generation power data set and load demand data set of photovoltaic equipment,and the JAYA-LSTM prediction model is established,and the basic principle and model steps involved in the model are introduced.The simulation results show that the prediction error of the proposed model is smaller than that of other models,which can effectively improve the prediction accuracy in this scenario.(2)This paper introduces the power generation principle of common distributed power sources in microgrid and establishes mathematical model.Considering various constraints and taking economic and environmental factors as optimization objectives,this paper constructs the optimal scheduling model of microgrid,and puts forward the MOJAYA algorithm based on quick sorting.The optimal scheduling model of microgrid set in this paper is solved,and verified by simulation experiments.The results show that the multi-objective algorithm and scheduling model proposed in this paper can effectively take into account both economic and environmental objectives,and have practical application value.(3)Based on the above research work and related theoretical basis,the optimization scheduling simulation platform of microgrid was constructed,simulation effects were analyzed by combining the simulation platform with specific examples,and the results of daily optimization scheduling were calculated and compared with the simulation results of the platform with no policy operation state.The multi-objective optimization scheduling algorithm could provide a feasible plan for optimization scheduling of microgrid.The comprehensive cost of the microgrid is reduced by reasonable planning of the operating state of the equipment,and the effectiveness of the simulation platform and simulation strategy is verified. |