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A two-stage robust configuration optimization model and solution algorithm for new flexibility resources considering uncertainty response characterization
- Source :
- Frontiers in Energy Research, Vol 12 (2024)
- Publication Year :
- 2024
- Publisher :
- Frontiers Media S.A., 2024.
-
Abstract
- As the proportion of new energy continues to increase, the safety and stability of the new power system are challenged, urgently requiring the allocation of new flexible resources. This paper proposes a two-stage robust capacity optimization model considering flexibility demand constraints. Firstly, the uncertain characteristics of new energy are described, and a model of flexible resource adjustment capacity is established. Then, uncertain parameters are introduced to construct a robust capacity optimization model considering supply-demand balance, solved by column constraint generation algorithm and KKT theorem. Finally, a power system in a certain region of China is selected as the simulation object for empirical analysis to verify the effectiveness of the constructed model. The results show that the two-stage robust configuration optimization model constructed in this paper can address the uncertainty of power system and the flexibility demand brought by new energy, and the planning results can achieve a balance between the safety and economy of the new power system.
Details
- Language :
- English
- ISSN :
- 2296598X
- Volume :
- 12
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Energy Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0887942a604942528c4620a6f77a1483
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fenrg.2024.1381857