On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads
CoRR(2024)
摘要
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. Yet, 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
condition for the solution uniqueness. Based on this, we point out the
implications for selecting physical models of PFL to enhance the identification
results. Numerical results validate this work.
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