The concentrating solar power (CSP) plants with thermal energy storage (TES) has good schedulability

which is decided by real time solar power input and energy stored in TES. The CSP plant combined with wind farms can reduce the uncertainty of wind power. The uncertainty and variability of wind and solar in different days result in the changes of CSP's schedulability and the need of it. By using scenario set to represent uncertainty of wind and solar

a stochastic model of the combined system is established. The day-ahead schedule of the system and the power dispatched in real time is optimized considering the uncertainty of multi-day wind and solar power forecast. By case study

the advantage of self-scheduling considering multi-day wind and solar uncertainty is verified

and the impact of different forecast horizon

TES's capacity and self-discharging rate is investigated. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228201) and National Natural Science Foundation of China (No. 51361135703).