Implementation of Goertzel-based frequency estimation for power quality monitoring in embedded measurement systems

• Autorzy: Rodrigues Nuno M. , Janeiro Fernando M. , Ramos Pedro M.

Identyfikatory

DOI

10.24425/mms.2022.142270

• Języki publikacji: EN

Abstrakty

EN

International standards from IEC and IEEE regulate power grid parameters such as the RMS value, frequency, harmonic and interharmonic distortion, unbalance or the presence of transients, that are important to assure the quality of distributed power. Standard IEC 61000-4-30 suggests the zero crossing algorithm for the measurement of the power grid frequency, but also states that different algorithms can be used. This paper proposes a new algorithm, the Fractional Interpolated Discrete Fourier Transform, FracIpDFT, to estimate the power grid frequency, suitable for implementation in resource limited embedded measurement systems. It is based on the non-integer Goertzel algorithm followed by interpolation at non-integer multiples of the DFT frequency resolution. The proposed algorithm is validated and its performance compared with other algorithms through numerical simulations. Implementation details of the FracIpDFT in an ARM Cortex M4 processor are presented along with frequency measurement results performed with the proposed algorithm in the developed system.

Słowa kluczowe

EN

power quality; frequency estimation; non-integer Goertzel; frequency interpolation; embedded measurement systems

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2022
• Tom: Vol. 29, nr 3
• Strony: 455--468
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr., wzory

Twórcy

autor

Rodrigues Nuno M.

• Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal

autor

Janeiro Fernando M.

• Instituto de Telecomunicações, Universidade de Évora, 7000-671 Évora, Portugal

autor

Ramos Pedro M.

• Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal

Bibliografia

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Uwagi

1. This work was developed under the PhD program of the Fundação para a Ciência e a Tecnologia (FCT) reference SFRH/BD/130327/2017 and is funded by FCT/MCTES through national funds and, when applicable, co-funded EU funds under the project UIDB/EEA/50008/2020.

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).