Robust optimization scheduling method for source network load storage integrated system

The invention provides a robust optimization scheduling method for a source-grid-load-storage integrated system, and belongs to the field of power systems, and the method comprises the steps: constructing a basic optimization scheduling model of the source-grid-load-storage integrated system; modeling is carried out on renewable energy sources and load prediction uncertainty in the source-network-load-storage integrated system; establishing a source network load storage integrated system two-stage robust optimization model of a min-max-min structure; and solving the two-stage robust optimization model by adopting a column constraint generation algorithm and a strong dual theorem to obtain a source network load storage integrated system scheduling scheme with optimal operation economy in the worst scene. According to the invention, distributed energy, stored energy, flexible electric and thermal loads and the like are managed in a unified manner, uncertainty of renewable energy and load prediction in the syste