With advances in modern agricultural parks

the rural energy structure has undergone profound change

leading to the emergence of an agricultural energy internet. This integrated system combines agricultural energy utilization

the information internet

and agricultural production. Accordingly

this study proposes a regulation flexibility assessment approach and optimal aggregation strategy of greenhouse loads (GHLs) for modern agricultural parks. First

taking into account the operational characteristics of typical GHLs

refined load demand models for lighting

humidification

and temperature-controlled loads are established. Secondly

the recursive least squares method-based parameter identification method is designed to accurately determine key GHL model parameters. Finally

based on the regulation flexibility of quantitatively evaluated GHLs

GHLs are optimally aggregated into multiple flexible aggregators considering minimal operational cost and greenhouse environmental constraints. The results indicate that the proposed regulation flexibility assessment approach and optimal aggregation strategy of GHLs can alleviate the peak regulation pressure on power grids by flexibly shifting the load demands of GHLs.