The uncertainty of wind/photovoltaic output power forecast of micro-grid leads to the large deviation of op-timization decision. In order to mitigate the adverse effects of the randomness of forecast error on the micro-grid

theday-ahead multi-objective optional control strategy of micro-grid considering forecast error of wind/photovoltaic isput forward in a grid-connected micro-grid consisting of wind power

photovoltaic system

diesel generator and bat-tery storage system（BESS）. The influence factors of wind and solar resources are analyzed on the basis of establishingthe model of every unit;a multi-objective optimization model is proposed to optimize the economic and environmen-tal benefits simultaneously by considering the main constraints of supply and demand balance and the operation char-acteristics. In the process of modeling

scene generation and reduction method is adopted to deal with the uncertaintycaused by the forecast error of the wind/photovoltaic. The differential evolution algorithm（DE） is employed to solvethe model

and the experimental results under different modes verify the correctness and effectiveness of the pro-posed strategy.