Work

Fast hotspot thermal network for grid optimization of large multi-machine reactive power boosting at ultra-high losses

Year: 2025

Type: article

Abstract: This research presents a novel fast hotspot lumped-parameter thermal network to estimate the synchronous generator’s reactive power-boosting capabilities under ultra-high power losses for multi-machine control and grid optimization. A system-component approach employs a double-layer thermal network to overcome the high complexity of high-order models while maintaining accurate hotspot prediction. Despite increased uncertainty for the stator hotspot temperature, the model achieves a precision of 6 % for ultra-high losses with a computational time of 5.34 μs. Finally, a scaling thermal rule is proposed to approximate a thermal network for different synchronous generators and validate the model against 24-hour actual data.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.110927

Authors: Dany Josue Tome-Robles, Sambeet Mishra, Frédéric Maurer, Jonas Kristiansen Nøland, Thomas Øyvang

Institutions: University of South-Eastern Norway, Norwegian University of Science and Technology

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,920