Data

PMU-based Grid Feature Dataset

The University of Queensland
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/8e2f559&rft.title=PMU-based Grid Feature Dataset&rft.identifier=RDM ID: db2ad121-3a46-45f6-bd7c-9629cfb438e7&rft.publisher=The University of Queensland&rft.description=This project presents an annotated, open-access dataset derived from multiple PMUs installed on Australian distribution feeders. The dataset contains real-world events involving voltage, current, and frequency measurements under a range of operating conditions. Events were identified using established detection and classification methods, then labelled according to their observed signal characteristics. The dataset supports the development and validation of PMU-based event-detection, classification, and analysis techniques using field measurements. It can assist researchers and network service providers in improving their understanding of distribution-network disturbances and in developing more effective tools for analysing future grid events.&rft.creator=Anonymous&rft.date=2026&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Field (mathematics)&rft_subject=Grid&rft_subject=Feature (linguistics)&rft_subject=Range (aeronautics)&rft_subject=Service (business)&rft_subject=Pattern recognition (psychology)&rft_subject=Service provider&rft_subject=Electrical engineering&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data
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[email protected]
School of Electrical Engineering and Computer Science

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This project presents an annotated, open-access dataset derived from multiple PMUs installed on Australian distribution feeders. The dataset contains real-world events involving voltage, current, and frequency measurements under a range of operating conditions. Events were identified using established detection and classification methods, then labelled according to their observed signal characteristics. The dataset supports the development and validation of PMU-based event-detection, classification, and analysis techniques using field measurements. It can assist researchers and network service providers in improving their understanding of distribution-network disturbances and in developing more effective tools for analysing future grid events.

Issued: 2026

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Subjects
Engineering | Electrical Engineering | Feature (linguistics) | Field (mathematics) | Grid | Pattern recognition (psychology) | Range (aeronautics) | Service (business) | Service provider | eng |

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Identifiers
ACN 633 798 857