A method and device for cooperative optimization and scheduling of a wind-wave-hydrogen multi-energy system, an electronic device, and a storage medium

Abstract

This invention discloses a collaborative optimization scheduling method, device, electronic equipment, and storage medium for a wind-wave-hydrogen multi-energy system, belonging to the field of multi-energy system optimization scheduling technology. The method includes: acquiring a wind speed sample matrix, predicted load data, and real-time operating data; extracting daily wind speed samples to construct seasonal and model centroids, forming a seasonal-model combination, and iteratively clustering based on a hierarchical weighted objective function to obtain typical wind speed scenarios and joint probabilities; solving a day-ahead stochastic optimization scheduling model with the objective of minimizing the expected total cost to obtain a day-ahead baseline plan; combining real-time operating data with input to a near-end policy optimization agent, outputting incremental control commands, superimposing them to form actual control commands, and controlling system operation. By implementing this invention, the problems of poor scheduling flexibility, difficulty in achieving optimal overall economic efficiency, and lack of robustness in day-ahead scheduling plans due to distorted characterization of uncertain scenarios in existing wind-wave-hydrogen multi-energy systems can be solved.

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