Research on Hierarchical Regulation and Control Technology for Power Grids in High Penetration Areas
With the large-scale integration of renewable energy, especially in regions with high penetration levels, power grids are facing unprecedented challenges. This study proposes a hierarchical regulation and control technology aimed at improving the operational efficiency and safety of power grids through refined management in high-penetration areas. The study constructs a multi-level collaborative regulation and control framework that includes the main distribution collaborative regulation and control layer, the micro-grid mutual aid layer, and the distribution area autonomy layer. Based on the strong coupling indicators for micro-grid internal autonomous balance, the reserve degree indicators within the micro-grid considering risk prevention and control needs, and the node peak-valley difference indicators, a micro-grid partitioning indicator system was established. Through the analysis of actual power grid case studies, the effectiveness and practicality of the proposed method have been verified. The results show that this hierarchical regulation and control method can significantly reduce the amount of information exchange, improve control efficiency and accuracy, solve over-voltage issues, and enhance the safety and economy of power grid operations. The research in this paper provides new ideas and solutions for power grid regulation and control in areas with high penetration rates, holding significant theoretical and practical value.
Authors
- Wenqiang Duan (ORCID: https://orcid.org/0000-0001-7330-9111)
- Jiandong Wo
- Dong Liu (ORCID: https://orcid.org/0000-0002-0275-336X)
- Xiang Ma (ORCID: https://orcid.org/0000-0003-0964-4753)
- Jiang Li (ORCID: https://orcid.org/0000-0002-8208-912X)
- Jing Wang (ORCID: https://orcid.org/0000-0002-9653-7253)
Institutions
- Tsinghua Sichuan Energy Internet Research Institute (CN)
- Shanghai Electric (China) (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10990611
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00