Distribution robust stochastic optimization-based day-ahead optimization operation method for power grid with storage region

Abstract

The invention discloses a day-ahead optimization operation method for a power grid containing a storage region based on distributed robust stochastic optimization, belongs to the technical field of power systems, and solves the problems of how to deal with source load uncertainty in the operation process of the regional power grid and how to improve operation economy and robustness. According to the source load uncertainty model of the regional power grid based on the Wasserstein distance and the conditional value-at-risk theory, accurate and detailed modeling can be carried out on the source load uncertainty in the operation process of the regional power grid; on the basis, a day-ahead optimization operation model oriented to the storage-containing regional power grid is constructed, the total operation cost of the storage-containing regional power grid can be reduced through reasonable scheduling of equipment such as an energy storage device and a gas turbine, and the economical efficiency and robustness of a regional power grid operation strategy are flexibly adjusted according to the confidence coefficient and the number of historical samples.

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