System and method for monitoring power quality events
AssigneeAtlas Copco Airpower, Naamloze Vennootschap
InventorsHans VANDE SANDE, Tijs VAN BUGGENHOUT, Jonas DE KOONING
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Abstract
A system and method involve monitoring power quality events using a variable speed drive (VSD) that is electrically connected to an electrical supply grid and a motor. The system and method include sampling measurements of a DC bus voltage with the VSD, obtaining a data batch of the sampled measurements, calculating a set of descriptive features of the batch with the VSD, and determining whether at least one descriptive feature exceeds a predetermined threshold value. The VSD sends the set of descriptive features and data batch to the cloud environment for classifying one or more power quality events using a machine learning model.
Claims20
A method for monitoring power quality events in an electrical system including a variable speed drive (VSD) electrically connected to a 3-phase electrical supply grid and an electric motor, the method comprising:
- sampling measurements of a DC bus voltage of the VSD;
- obtaining a batch of the sampled measurements using a computing unit of the VSD;
- calculating a set of descriptive features of the batch;
- determining that at least one calculation from the set of descriptive features exceeds a predetermined threshold value;
- sending the batch and/or set of descriptive features to a cloud environment;
- classifying the batch as a power quality event based on the set of descriptive features;
- and
- providing an actionable notification and data visualizations indicating a classified power quality event;
- wherein steps occurring before sending the batch and/or set of descriptive features to the cloud environment are executed by the VSD itself.
A system for monitoring power quality events, the system comprising:
- a variable speed drive (VSD) electrically connected to a 3-phase electrical supply grid and an electric motor;
- a computing unit housed within the VSD and connected to a cloud environment;
- and
- one or more hardware storage devices that store instructions that are executable to cause the computing unit to:
- sample measurements of a DC bus voltage;
- obtain a batch of the sampled measurements;
- calculate a set of descriptive features of the batch, wherein the set includes standard deviations of the sampled measurements of the batch;
- determine that at least one standard deviation from the set exceeds a predetermined threshold value;
- and
- send the set of descriptive features to the cloud environment;
- wherein the cloud environment includes a machine learning model for classifying the batch as a power quality event based on the set of descriptive features.
A method for monitoring power quality events in an electrical system including a variable speed drive (VSD) electrically connected to a 3-phase electrical supply grid and an electric motor, the method comprising:
- sampling measurements of a DC bus voltage of the VSD;
- obtaining a first batch of sampled measurements using a computing unit of the VSD;
- calculating a first set of descriptive features of the first batch;
- determining that none of the descriptive features of the first batch exceeds a predetermined threshold value;
- and
- preventing the first set of descriptive features and the first batch from being sent to a cloud environment.
Dependencies are inferred from the claim text.