Day-ahead battery scheduling in microgrid considering wind power uncertainty using ordinal optimization

This paper introduces the Ordinal Optimization (OO) theory into the microgrid operation, considering the wind power uncertainty. An energy balance model is established to obtain a day-ahead battery scheduling. Comparing with the stochastic optimization and the robust optimization, the OO method has the advantages of neither requiring a huge computation burden, nor resulting in an unexpectedly high operating cost. Case studies on different algorithms have been done in the paper. The results show that the OO method outperforms the stochastic and robust solutions, with a more reasonable operating cost while without compromising the microgrid reliability.