2023
DOI: 10.1109/tpwrs.2022.3194077
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A Nested Decomposition Method for the AC Optimal Power Flow of Hierarchical Electrical Power Grids

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Cited by 5 publications
(1 citation statement)
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“…We discuss the relevant literature in these domains to give context to our novelty. ACOPF: From an optimization perspective, a large volume of works seek to design provably convergent algorithms for ACOPF [7,12,21,23,25] and to numerically accelerate classic nonlinear optimization solver through massively parallelized computation [3,11,13,18,29]. In the learning regime, two main lines of work include 1) learning an end-to-end mapping from input of the ACOPF problem to the output [9,16,17,20] and 2) learning parameters and/or sub-steps within an optimization solver [4,19,27,28].…”
Section: Related Workmentioning
confidence: 99%
“…We discuss the relevant literature in these domains to give context to our novelty. ACOPF: From an optimization perspective, a large volume of works seek to design provably convergent algorithms for ACOPF [7,12,21,23,25] and to numerically accelerate classic nonlinear optimization solver through massively parallelized computation [3,11,13,18,29]. In the learning regime, two main lines of work include 1) learning an end-to-end mapping from input of the ACOPF problem to the output [9,16,17,20] and 2) learning parameters and/or sub-steps within an optimization solver [4,19,27,28].…”
Section: Related Workmentioning
confidence: 99%