Gaussian Process Learning-based Probabilistic Optimal Power Flow

16 Apr 2020Parikshit PareekHung D. Nguyen

In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. The proposed method relies on a non-parametric Bayesian inference-based uncertainty propagation approach, called Gaussian Process (GP)... (read more)

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