Implementação em módulo de desenvolvimento FPGA de técnica de detecção de novidades baseada da transformada de Stockwell aplicada a distúrbios de qualidade de energia elétrica em sinais de potência
DOI:
https://doi.org/10.34019/2179-3700.2024.v24.46211Keywords:
Redes Elétricas Inteligentes (REI), Transformada de Stockwell (ST), Qualidade de Energia Elétrica (QEE), Implementação em FPGA, Detecção de Novidades (DN)Abstract
In the context of the consolidation of Smart Grids (SGs), where the presence of nonlinear loads and new forms of electric power generation are becoming increasingly significant, there is a substantial potential for the emergence of new disturbances. Additionally, given the vast amount of data from smart meters, it is necessary to use novelty detection methods on voltage and current waveform signals to preserve relevant information and enable efficient data storage. The Stockwell Transform (ST) is a time-frequency distribution that has shown a strong ability to detect novelties related to signal stationarity changes. Therefore, this work describes the use of the ST for novelty detection in Power Quality (PQ) signals. The implementation of this transform on a Field-Programmable Gate Array (FPGA) platform is proposed through the use of a soft-core processor to optimize the FPGA hardware resources. Furthermore, a voice selection strategy is proposed to reduce algorithm complexity and processing time while maintaining detection capability.
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Copyright (c) 2024 ANONMIXS AMARO AFONSO, NAIARA DA SILVA MAIA DOS SANTOS, VICTOR MENDES RIBEIRO, Eder Barboza Kapisch
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