Industrial parks face the dual challenge of renewable energy intermittency and load demand uncertainty
making it difficult to match green power with load. Therefore
it is crucial to consider factors such as capacity charges
demand charges
and unit commitment processes in scheduling
and to construct a cross‑day optimal scheduling model for electricity‑hydrogen‑storage parks. Traditional methods struggle to accurately capture curve similarity
distinguish time‑shift differences
and handle high‑frequency noise. To address these issues
this paper proposes a rolling correction method based on a frequency‑domain comprehensive similarity index. This method performs online corrections to the dispatch plan according to the actual output of renewable energy and the actual load power. Simulation results and comparisons with traditional rolling optimization methods demonstrate that the proposed method can effectively reduce the renewable energy curtailment rate and the operational cost of the park under uncertain conditions.
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