Studying power-grid synchronization with incremental refinement of model heterogeneity

Fuente: arXiv
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Autores principales: Hartmann, Bálint, Ódor, Géza, Benedek, Kristóf, Papp, István
Formato: Preprint
Publicado: 2024
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author Hartmann, Bálint
Ódor, Géza
Benedek, Kristóf
Papp, István
author_facet Hartmann, Bálint
Ódor, Géza
Benedek, Kristóf
Papp, István
contents Modeling power-grid systems has got a major importance in present days as transformation to renewable energy sources requires the complete re-design of energy transmission. Renewable energy sources can be located quite far from their consumption points because urban and industrial structures do not follow physical constraints and capabilities. Important examples are the sea coast vs inland divisions in the case of wind power. Ill-constructed high-voltage (HV) power grids can cause catastrophic damages to economies as it was demonstrated in recent history via the emergence of large blackout events. The probability distributions of such events was found to be fat-tailed, exhibiting power-law (PL) tails very often. To understand them, self-organized critical direct current (DC) models have been constructed~\cite{car2} and have been shown to describe well the PL exponents of empirical values. However, many details could not be understood as power-grids work with alternating currents (AC) in which phase differences are the primary causes of the power-flows.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02758
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Studying power-grid synchronization with incremental refinement of model heterogeneity
Hartmann, Bálint
Ódor, Géza
Benedek, Kristóf
Papp, István
Adaptation and Self-Organizing Systems
Disordered Systems and Neural Networks
Statistical Mechanics
Physics and Society
Modeling power-grid systems has got a major importance in present days as transformation to renewable energy sources requires the complete re-design of energy transmission. Renewable energy sources can be located quite far from their consumption points because urban and industrial structures do not follow physical constraints and capabilities. Important examples are the sea coast vs inland divisions in the case of wind power. Ill-constructed high-voltage (HV) power grids can cause catastrophic damages to economies as it was demonstrated in recent history via the emergence of large blackout events. The probability distributions of such events was found to be fat-tailed, exhibiting power-law (PL) tails very often. To understand them, self-organized critical direct current (DC) models have been constructed~\cite{car2} and have been shown to describe well the PL exponents of empirical values. However, many details could not be understood as power-grids work with alternating currents (AC) in which phase differences are the primary causes of the power-flows.
title Studying power-grid synchronization with incremental refinement of model heterogeneity
topic Adaptation and Self-Organizing Systems
Disordered Systems and Neural Networks
Statistical Mechanics
Physics and Society
url https://arxiv.org/abs/2409.02758