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Online Measurement Error Detection for the ElectronicTransformer in a Smart Grid
2021
Energies
With the development of smart power grids, electronic transformers have been widely used to monitor the online status of power grids. However, electronic transformers have the drawback of poor long-term stability, leading to a requirement for frequent measurement. Aiming to monitor the online status frequently and conveniently, we proposed an attention mechanism-optimized Seq2Seq network to predict the error state of transformers, which combines an attention mechanism, Seq2Seq network, and
doi:10.3390/en14123551
fatcat:cnpsjhe6b5d7nlklkep4jqkyoy