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Here you will find factsheets, publications and results related to the AISOP project.
As distribution grids incorporate more renewable energy sources and demand becomes more flexible, more information about the current and future state of the grid becomes vital for operating the grid in a cost-effective way. Digitalization is therefore essential, as it facilitates data acquisition and processing. Digital process twins (DPTs) can help energy utilities to better manage the operation of their grids. Read about AISOP’s approach in this newsletter.
The paper by Mojgan Hojabri, Severin Nowak, and Antonios Papaemmanouil published in the open access journal Energies can be found at https://doi.org/10.3390/en16166023. It presents a comparison of classification algorithms for detection of intermittent faults of distribution network cables. The cases investigated with the IEEE 33 bus system include faults with high and low impedance, and short and long duration.
Presentation given by Antonios Papaemmanouil to the AI4Grids Symposium – AI in Distribution Networks on 26. September 2023.
This document provides an overview of the digital twin, including its history and definition. In addition, it introduces a new term in digital twin technology, the digital process twin, and explores its application in the power system based on the aims of the AISOP project.
ETG taskforce report, Ulf Hager et al
This document describes processes for quality control, risk management, data management and the communications strategy in the AISOP project
This document comprises the annual report submitted to the Swiss funding authority at the end of 2022.
AISOP will create an AI-assisted decision support system for the electric distribution system operators (DSOs) to drive decarbonisation that is underpinned by advanced digital technology. We create a new “operational planning” framework for distribution system operators, inspired by similar approaches that are already in place for transmission system operation.
Project Duration: 01.05.2022 – 01.05.2025
Total Budget: € 2,105,684.
Funding: € 1,197,891.
Project Coordinator: Lucerne University of Applied Sciences and Arts.