2024
DOI: 10.1109/tpwrs.2023.3243933
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An Approach Inspired by Quantum Mechanics for the Modeling of Large Power Systems

Abstract: The ever increasing complexity of power systems mandates a further improvement of the numerical methods used for their simulation. We propose a new approach that is inspired by an exact analogy with quantum mechanics, but requires no specific knowledge of quantum physics. This approach allows in particular to use local methods commonly applied in quantum mechanics, such as Lanczos' algorithm. It is applied to computing the load flow and extended to simple dynamic studies where the nodes are described by swing … Show more

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Cited by 2 publications
(8 citation statements)
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“…where θ is the vector storing the phase angles at every node. Rather than solving this Laplacian system for θ, an effective strategy has been to define the new variables (ψ L l ) on the lines of the network (such as done in figure (1))…”
Section: Derivation Of the Hamiltonian Formalismmentioning
confidence: 99%
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“…where θ is the vector storing the phase angles at every node. Rather than solving this Laplacian system for θ, an effective strategy has been to define the new variables (ψ L l ) on the lines of the network (such as done in figure (1))…”
Section: Derivation Of the Hamiltonian Formalismmentioning
confidence: 99%
“…That is why we will not use in this paper techniques relying on the full inversion of matrices (such as the nodal laplacian matrix of the network), nor spectral based methods [8]. Rather, we extend here a method presented in [1] that doesn't rely on the full resolution of a linear system and presents a substantial gain, as the number of arithmetic operations is only O(N ). It is based on the computation of load flows relative to specific power injections, that are dipoles.…”
Section: Introductionmentioning
confidence: 99%
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