Evaluating dynamic soil-informed thermal-electric cable models: a grid congestion management-based analysis

Electric power cables are an essential part of all electric grids. Their transmission capacity is often derived from static thermal models and serves as an inherent constraint during grid operations, artificially limiting these operations, leading to inaccurate assumptions about existing capacities and potentially mandating grid congestion measures. This article contributes to the optimization of the transmission capacity by introducing a novel transient thermal-electric cable model for a thermally inhomogeneously loaded NAYY-J sector cable which includes soil parameters by optimizing a lumped model through correlation with a finite element method. Additionally, a metric based on grid congestion management measures is developed and utilized to assess this model and to quantify it in comparison to conventional ampacity limits indirectly by introducing common evaluation parameters. A comprehensive set of 96 dynamic simulations was conducted, considering varying grid topologies, degrees of technology adaptation, seasonal impacts, and geographical locations. Grid congestion management was reduced by over 42 MWh by utilizing this model, increasing the timespan of uninterrupted operations by up to 247 h. Both metrics highlight the advantages of dynamic soil informed thermal-electric cable models and dynamic ampacity evaluations as their utilization leads to increased energy availability, more efficient operations and reduced grid charges.

Content

Subjects

Ampacity

Congestion management

Energy transfer capacity

Low-voltage cable

Temperature monitoring

DDC Class

621.38: Electronics, Communications Engineering

519: Applied Mathematics, Probabilities

Files

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Download

Name

1-s2.0-S1755008426001523-main-1.pdf

Type

Main Article

Size

13.1 MB

Format

Adobe PDF