An adaptive power supply and distribution collaborative optimization method, system, device and storage medium

Abstract

The application provides a self-adaptive power supply and distribution coordination optimization method, system and device and a storage medium, and belongs to the field of intelligent power supply and distribution and load regulation. The method solves the problems of insufficient description of climate variability, weak user-side load hierarchical modeling capability and disconnection of prediction control in existing power supply and distribution regulation. The method comprises the following steps: multi-source data acquisition and preprocessing; construction of a climate variability representation vector; establishment of a user load elasticity portrait; construction of a climate-load-device coupled digital twin model to obtain user net load evolution results under different climate scenarios; establishment of a coordination optimization model and generation of a self-adaptive power supply and distribution coordination optimization strategy based on a rolling time domain; triggering of model reconstruction and strategy re-optimization based on climate mutation or prediction results, and issuing of control instructions to user-side controllable devices; online updating of the digital twin model and the user load elasticity portrait according to execution feedback results. The application is applied to power supply and distribution.

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