Development and Validation of a LabVIEW-Based Software for Power Quality Analysis in Microgrids
E. G. L. Maniçoba(1,2), E. A. Vieira(1), R. F. Pinheiro(2) 1.Department of Environmental Sustainability UTEC – Technological Univeristy South Central, Technological Institute – Durazno, Uruguay 2. Postgraduate Programme in Electrical Energy UFRN – Federal University of Rio Grande do Norte, Campus Natal – Rio Grande do Norte, Brasil 2026-06-27

Abstract

The increasing integration of Distributed Energy Resources in microgrids demands efficient Power Quality  monitoring. However, the high cost of commercial analyzers and the complexity of interpreting data from Smart Meters often hinder effective diagnosis. This paper presents a hardware-agnostic, LabVIEW-based software designed for post-processing and automatic PQ diagnosis. The tool processes CSV datasets and translates complex regulatory standards—specifically PRODIST and URSEA—into intuitive compliance indicators, making analysis accessible to non-experts. The system’s reliability was validated through an experimental case study in a real microgrid, comparing its performance against a Class A Fluke 1736 analyzer under dynamic loading conditions. Results confirmed the software's robustness, showing negligible errors in RMS voltage, current, and frequency measurements. Additionally, the tool successfully detected regulatory violations, such as Power Factor drops, and accurately analyzed harmonic distortions using FFT algorithms. This solution provides a cost-effective, educational, and technical tool for transforming raw electrical data into actionable diagnostic insights, ensuring compliance and stability in modern power systems.

Key words: Automatic Diagnosis, Smart Meters, Power Quality, LabVIEW, Education.

References

[1]  BRASIL, Lei nº 14.300, de 6 de janeiro de 2022: Institui o marco legal da microgeração e minigeração distribuída, Diário Oficial da União, Brasília (2022).

[2]  E. Arigliano, R. Bianco, G. M. Casolino and A. G. O. Gagliardi, “Power quality in microgrids: A review”, 2022 IEEE International Conference on Environment and Electrical Engineering (EEEIC) (2022). pp. 1-6.

[3]  F. Blaabjerg, R. Teodorescu, M. Liserre and A. V. Timbus, “Overview of control and grid synchronization for distributed power generation systems”, IEEE Transactions on Industrial Electronics (2006). Vol. 53, pp. 1398-1409.

[4]  R. Teodorescu, M. Liserre and P. Rodríguez, Grid Converters for Photovoltaic and Wind Power Systems, John Wiley & Sons, Chichester (2011). pp. 1-416.

[5]  E. G. L. Maniçoba and R. F. Pinheiro, “Desenvolvimento de uma Ferramenta de Instrumentação Virtual para Análise de Qualidade de Energia em Microrredes”, XV Conferência Brasileira sobre Qualidade da Energia Elétrica (CBQEE) (2023). pp. 1-6.

[6]  H. M. Usman, M. N. Akhtar and M. A. Khan, “Harmonic Mitigation in Inverter Circuits Through Innovative LC Filter Design Using PSIM”, Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2024). Vol. 10, pp. 138-153.

[7]  ANEEL, Procedimentos de Distribuição de Energia Elétrica no Sistema Elétrico Nacional – PRODIST: Módulo 8 – Qualidade da Energia Elétrica,Agência Nacional de Energia Elétrica, Brasília (2021).

[8]  IEC, IEC/TR 61000-3-6: Assessment of emission limits for the connection of distorting installations to MV, HV and EHV power systems, International Electrotechnical Commission, Geneva (2008).

[9]  A. Ostrowska et al., “Power quality assessment in a real microgrid-statistical assessment of different long-term working conditions”, Energies (2022). Vol. 15, pp. 8089.

[10] URSEA, Reglamento de Calidad del Servicio de Distribución de Energía Eléctrica – RCSDEE, Unidad Reguladora de Servicios de Energía y Agua, Montevideo (2010).