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| Regulation Flexibility Assessment and Optimal Aggregation Strategy of Greenhouse Loads in Modern Agricultural Parks |
| Shiwei Xia, Senior Member, IEEE,Liuyang Cai,Mingze Tong,Ting Wu,Peng Li,Xiang Gao |
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| Abstract: |
| 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. |
| Key words: Agricultural park, greenhouse load parameter identification, regulation flexibility, optimal aggregation of GHLs. |
| DOI：10.23919/PCMP.2023.000025 |
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| Fund:This work is supported in part by the Science and Technology Project of State Grid Corporation of China (No. 1400-202224249A-1-1-ZN), the National Natural Science Foundation of China (No. 52077075 and No.72271068), the Foundations of Shenzhen and Technology Committee (No. GJHZ20210705141811036 and No. GXWD20220811151845006), the Major Science and Technology Special Projects in Xinjiang Autonomous Region (No. 2022A01007), and the Fundamental Research Funds for the Central Universities (No. 2023JC001). |
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