Stochastic Optimization of Microgrid Operation Based on Variable Renewable Energy and Energy Storage
The application of variable renewable energy sources(VRES)and energy storage system(ESS)in the microgrid is beneficial to improve the reliability and economy of power supply of the power system.But it also brings challenges due to the uncertainty of VERS and ESS.Based on this,this paper proposes a multi-stage stochastic programming model for microgrid operation using VRES and ESS,which is divided into short-term model and long-term model.The short-term model leverages information from forecasts that are updated every six hours,while the long-term model considers the value of stored energy be-yond the forecast horizon.The model is solved using stochastic dual dynamic programming(SDDP)and Markovian chains,and the results show that systems with high degree of VRES generation and ESS and limited dispatchable generation capacity is of great importance to consider short-term and long-term uncertainties.
variable renewable energy sourcesenergy storage systemstochastic dual dynamic programmingmicrogridsto-chastic optimization