Multi Time Scale Optimal Scheduling Of Microgrid Considering Wind And Solar Uncertainty

Affected by environmental factors,wind power and photovoltaic output in microgrid systems have strong volatility and uncertainty.Therefore,on the basis of forecasting and uncertainty analysis of wind and solar output,optimizing the scheduling strategy of the microgrid can improve the economy and reliability of system operation,and is of great significance to the study of future energy system optimization scheduling problems.First of all,considering the uncertainty of wind power and photovoltaic output,use variational modal decomposition(VMD)to perform modal decomposition with one-hour and 15-minute wind and solar output data,and obtain sub-components with different characteristics and then use a combined forecasting algorithm to get the results.Wind and solar power forecast value.After generating wind power scenes by Latin hypercube sampling,cluster analysis is performed,and the Canopy-spectral clustering-K-means analysis method is proposed.The number of clusters is determined according to the Canopy method,and then the generated scenery scenes are clustered to obtain typical scene values and Scenario probability can effectively improve the power system’s ability to deal with the uncertainty of renewable energy output.Finally,in view of the uncertainty of wind and solar output,a microgrid optimization scheduling model with economic and environmental benefits as the goal was established.At the same time,considering many constraints,the multi-objective genetic algorithm is used to optimize the output of micro-combustion units and the charging of energy storage systems.Discharge volume and microgrid interaction power.A multi-objective optimization scheduling model with the smallest power output adjustment and the smallest power output adjustment cost is established within the day.According to the model predictive control principle,a multi-objective genetic algorithm is used to solve the problem,and the day-ahead scheduling plan value is revised rolling.Finally,the validity and rationality of the scheduling strategy in this paper is verified by comparing with the single-objective microgrid multi-time scale scheduling.