Revolutionising underfrequency load shedding schemes - the E-REDES initiative

Modernising and strengthening electric transmission and distribution systems is essential in a world increasingly reliant on electrification, distributed resources, and renewable energy integration. Underfrequency Load Shedding Schemes (UFLS) play a critical role in maintaining power system stability, especially during high demand or unexpected disruptions. E-REDES, the main Portuguese Distribution System Operator (DSO), in partnership with the Transmission System Operator (TSO), REN, is developing an automated UFLS approach to improve robustness, flexibility, and efficiency. The current manual UFLS process leads to inefficiencies, prompting the need for automatic calculations and monitoring to address energy transition challenges like distributed energy variability. E-REDES leverages Microsoft Azure Databricks to develop the new UFLS architecture, centralising data from multiple systems, including Geographic Information System (GIS), Outage Management System (OMS), and SCADA. This plan focuses on High Voltage (HV) to Medium Voltage (MV) Substations with frequency load-shedding systems. A rule-based algorithm introduces data consolidation, correlation techniques, and a multi-criteria approach for optimised load allocation. This initiative enhances operational efficiency and supports technical evolution, addressing new energy transition demands. The integration of advanced calculation and monitoring methodologies ensures a more responsive and adaptable system for managing power stability in an evolving energy landscape.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1872
Primary Topic
Power Systems and Technologies
Type
article
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article

Revolutionising underfrequency load shedding schemes - the E-REDES initiative

João Filipe Oliveira, Miguel Louro, Miguel Veríssimo, Ricardo V. Fernandes et al.
IET conference proceedings.
Power Systems and Technologies
article

Revolutionising underfrequency load shedding schemes - the E-REDES initiative

João Filipe Oliveira, Miguel Louro, Miguel Veríssimo, Ricardo V. Fernandes, António Eliseu, José V. Couto
article en

Abstract

Modernising and strengthening electric transmission and distribution systems is essential in a world increasingly reliant on electrification, distributed resources, and renewable energy integration. Underfrequency Load Shedding Schemes (UFLS) play a critical role in maintaining power system stability, especially during high demand or unexpected disruptions. E-REDES, the main Portuguese Distribution System Operator (DSO), in partnership with the Transmission System Operator (TSO), REN, is developing an automated UFLS approach to improve robustness, flexibility, and efficiency. The current manual UFLS process leads to inefficiencies, prompting the need for automatic calculations and monitoring to address energy transition challenges like distributed energy variability. E-REDES leverages Microsoft Azure Databricks to develop the new UFLS architecture, centralising data from multiple systems, including Geographic Information System (GIS), Outage Management System (OMS), and SCADA. This plan focuses on High Voltage (HV) to Medium Voltage (MV) Substations with frequency load-shedding systems. A rule-based algorithm introduces data consolidation, correlation techniques, and a multi-criteria approach for optimised load allocation. This initiative enhances operational efficiency and supports technical evolution, addressing new energy transition demands. The integration of advanced calculation and monitoring methodologies ensures a more responsive and adaptable system for managing power stability in an evolving energy landscape.

IET conference proceedings.Vol. 2025(14)
Renfe Operadora (Spain) (ES), Network for Business Sustainability (CA)
Openalex Percentile: Top 71%
Power Systems and Technologies
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Revolutionising underfrequency load shedding schemes - the E-REDES initiative — João Filipe Oliveira, Miguel Louro, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS