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.
@article{arxiv.2403.15029,
title = {On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)},
author = {Shuai Lu and Jiayi Ding and Mingji Chen and Wei Gu and Junpeng Zhu and Yijun Xu and Zhaoyang Dong and Zezheng Sun},
journal= {arXiv preprint arXiv:2403.15029},
year = {2025}
}