Abstract
This letter first explores the solution uniqueness of the data-driven modeling of price-responsive flexible loads (PFL). The PFL on the demand side is critical in modern power systems. An accurate PFL model is fundamental for system operations. However, whether the PFL model can be uniquely and correctly identified from operational data remains unclear. To address this, we analyze the structural and practical identifiability of the PFL model, deriving the dataset condition that guarantees the solution uniqueness. Besides, we point out the practical implications of the results. Numerical tests validate this work. © 2024 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 1993-1996 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 16 |
| Issue number | 2 |
| Online published | 16 Dec 2024 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Funding
This work was supported in part by the National Natural Science Foundation of China under Grant 52207080; in part by the Zhishan Young Scholar Support Program of Southeast University under Grant 2242024RCB0044; and in part by Global STEM Professorship and a Startup Grant of City University of Hong Kong
Research Keywords
- data-driven modeling
- Flexible loads
- identifiability
- inverse optimization
- solution uniqueness
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