TRAINING METHOD FOR TRAINING AN ARTIFICIAL NEURAL NETWORK FOR A NETWORK HANDOVER MODULE, NETWORK HANDOVER MODULE, NETWORK STATION AND AN OPERATING METHOD FOR OPERATING A NETWORK STATION
Abstract
[0001] The invention relates to a training method for training an artificial neural network (ANN) for a network transfer module (10) for use in a network station (100), in particular in the form of a local network station or a substation, wherein the artificial neural network (ANN) is trained using synthetic training data (SD) which serve to represent possible network states in the operation of the network section (A) and to determine control commands (SC) in the network section (A), wherein only selected parts of the synthetic training data (SD) are used to train the artificial neural network (ANN) in order to reproduce the control commands (SC), in particular despite incomplete state data, preferably without a state estimation (SE) in the network section (A) and thus to avoid critical network states, including current and/or voltage deviations, in particular overcurrent, overvoltage and/or undervoltage.
Inventors 7
- Pohl, Oliver
- Luis Böttcher Aachen author as filed: Böttcher, Luis
- Sarra Bouchkati Aachen author as filed: Bouchkati, Sarra
- Florian Klein-Helmkamp Aachen author as filed: Klein-Helmkamp, Florian
- Mahjooob, Amirali
- Hinrikus Wolf Aachen author as filed: Wolf, Hinrikus
- Philipp Lutat Aachen author as filed: Lutat, Philipp
Inventors are linked to an Aachen author when surname and first name match exactly one author.
Applicants
- Schleswig-Holstein Netz GmbH
- E.ON SE
- Rheinisch-Westfälische Technische Hochschule Aachen, Körperschaft des öffentlichen Rechts RWTH Aachen University
Cited papers 0 in the database
Non-patent literature as cited (1)
- - YANG QINGQING ET AL: "New ANN method for multi-terminal HVDC protection relaying", ELECTRIC POWER SYSTEMS RESEARCH, ELSEVIER, AMSTERDAM, NL, vol. 148, 7 April 2017 (2017-04-07), pages 192 - 201, XP085027834, ISSN: 0378-7796, DOI: 10.1016/J.EPSR.2017.03.024