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Published at December 3

Adaptive Informed Deep Neural Networks for Power Flow Analysis

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cs.AI

cs.SY

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Released Date: December 3, 2024

Authors: Zeynab Kaseb¹, Stavros Orfanoudakis¹, Pedro P. Vergara¹, Peter Palensky¹

Aff.: ¹Delft University of Technology

Arxiv: http://arxiv.org/pdf/2412.02659v1

Refer to caption

Case	Model	MSE [ $V^{2}$ ]	MSE [ $rad^{2}$ ]
4-bus	PINN4PF	$4.85\times 10^{-4}$	$3.81\times 10^{-8}$
	MLP	$5.70\times 10^{-3}$	$3.72\times 10^{-7}$
	LR	$2.52\times 10^{-2}$	$4.70\times 10^{-6}$
15-bus	PINN4PF	$5.73\times 10^{-6}$	$1.06\times 10^{-7}$
	MLP	$3.96\times 10^{-5}$	$3.09\times 10^{-7}$
	LR	$6.32\times 10^{-4}$	$1.57\times 10^{-5}$
290-bus	PINN4PF	$9.54\times 10^{-10}$	$1.65\times 10^{-8}$
	MLP	$3.03\times 10^{-9}$	$1.78\times 10^{-8}$
	LR	$1.03\times 10^{-7}$	$2.49\times 10^{-8}$
2224-bus	PINN4PF	$1.03\times 10^{-4}$	$8.15\times 10^{-5}$
	MLP	$2.07\times 10^{-4}$	$7.66\times 10^{-5}$
	LR	$3.62\times 10^{0}$	$2.93\times 10^{-4}$