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A bulking agent comprising a cellodextrin material and a carbohydrate sweetener wherein the cellodextrin material comprises a principal cellodextrin with a DP of at least 4.

The invention relates to the technical field of power system scheduling optimization, and discloses a wind-light-storage alliance system day-ahead-day multi-time scale optimization scheduling method, which comprises the following steps of: constructing a wind-light output scene generation and reduction model considering uncertainty, generating an initial scene set of wind and light output based on a Latin hypercube sampling method, and generating a wind-light output scene set; reducing the initial scene set by a scene reduction method based on a Kantorovich distance to obtain a typical wind and light output scene; constructing a day-ahead optimization scheduling model, establishing a multi-target stochastic programming model based on a typical wind and light output scene, and solving to obtain an optimization output plan of each unit in each day-ahead time period; and constructing an intra-day rolling optimization scheduling model, constructing an intra-day rolling optimization model based on a multi-target stochastic programming model, and performing real-time feedback and correction on the optimization output plan to obtain a final scheduling instruction of each time period in the day, wherein the constraint condition of the intra-day rolling optimization model is the same as that of the day-ahead optimization model. The method has the advantages of being capable of ensuring that the total revenue of the system is maximized and the grid-connected power is stable in the face of uncontrollable prediction errors.