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Power Quality Parameters Calculation Using FPGA Embedded Parallel Processors in Compliance with the IEC 61000-4-30 Standard

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Abstract

This work presents the implementation of a power quality (PQ) parameters calculation system based on the use of parallel processors embedded in field-programmable gate array (FPGA). The novelty in the proposal is that the processors used in the FPGA implementation were developed to be automatically customizable, providing hardware resource optimization. The algorithms implemented in each processor follow the guidelines described in the IEC 61000-4-30 standard, for class A equipment. In order to show the effective operation of the implementation, the system was subjected to a functional simulation, using the ModelSim \(^{\circledR }\) software, from the manufacturer Intel\(^{\circledR }\). A functional prototype was also developed using a Cyclone\(^{\circledR }\) V FPGA evaluation board, to perform practical tests. The experimental results show that the system is able to calculate all parameters according to the requirements specified by the IEC 61000-4-30 standard for class A devices using minimum hardware resources, such as logic elements, memory and DSP blocks. For further analysis, the calculated parameters are then stored in a database based on PostgreSQL\(^{\circledR }\) platform. In order to enable visualizing and analyzing these results, an interactive visualization panel was developed using the Grafana\(^{\circledR }\) platform.

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References

  • Arrais, E., Roda, V. O., Neto, C. M., Ribeiro, R. L., & Costa, F. B. (2014). Fpga versus dsp for wavelet transformbased voltage sags detection. In 2014 IEEE International Instrumentation and Mea- urement Technology Conference (i2mtc) proceed- ings pp. 643-647.

  • Bartolomeo, J. (2021). Grafana for energy in- frastructures. https://grafana.com/blog/ 2021/01/06/how-using-grafana-and-plugins -gave-a-jolt-to-smart-state-technology-a -company-advancing-technology-for-energy -infrastructures/. (Accessed: 01/25/2021)

  • Biletskiy, Y., Nanacekivell, S., Chang, L., & Shao, R. (2017). An fpga-based power quality monitoring and event identifier. In2017 IEEE 8th International Symposium on Power Electronics for Distributed Generation Systems (pedg) pp. 1-6.

  • Bilik, P., Koval, L., & Hajduk, J. (2008). Compactrio embedded system in power quality analysis. In 2008 International Multiconference on Computer Science and Information Technology pp. 577-580.

  • Bollen, M. H. (2000). Understanding power quality problems. In Voltage sags and interruptions. IEEE Press.

  • Brown, T. (2020). Why choose postgresql. https://www.enterprisedb.com/postgres-tutorials/why-more-and-more-enterprises-are-choosing-postgresql-their-go-database. (Accessed: 01/15/2021).

  • Cardenas, A., Guzman, C., & Agbossou, K. (2010). Real-time evaluation of power quality using fpga based measurement system. In 2010 IEEE Inter-national Symposium on Industrial Electronics, pp. 2777-2782.

  • Cardenas, A., Guzman, C., & Agbossou, K. (2012). Development of a fpga based real-time power analysis and control for distributed generation interface. IEEE Transactions on Power Systems, 27(3), 1343–1353.

    Article  Google Scholar 

  • Chen, C.-S., & Tsai, Z.-D. (2013). The fpga based power monitoring system for tps facility. IPAC2013, China.

  • Dekoulis, G. (2020). Field programmable gate arrays (fpgas) II. BoD-Books on Demand.

  • Erişti, B., Yıldırım, Ö., Erişti, H., & Demir, Y. (2013). An FPGA-based system for real-time monitoring of voltage harmonics. In 19th IMEKO TC 4 Symposium and 17th IWADC Workshop Advances In Instrumen- tation and Sensors Interoperability.

  • Ferrigno, L., Landi, C., & Laracca, M. (2008). FPGA based measurement instrument for power quality monitoring according to IEC standards. In 2008 IEEE Instrumentation and Measurement Technology Conference, pp. 906-911.

  • Huang, S.-J., Yang, T.-M., & Huang, J.-T. (2002). Fpga realization of wavelet transform for detection of electric power system disturbances. IEEE Trans- actions on Power Delivery, 17(2), 388–394.

    Article  Google Scholar 

  • IEC. (2002). IEC 61000-4-7. General guide on harmon- ics and interharmonics measurements for power supply systems and equipment connected thereto.

  • IEC. (2010). IEC 61000-4-15. Flickermeter-functional and design specifications (IEC, Geneva, Switzer- land, Edition 2.0, 2010-07).

  • IEC. (2015). IEC 61000-4-30. Testing and measurement techniques-power quality measurement meth- ods.

  • Kapisch, E. B., Silva, L. R. M., Martins, C. H. N., Barbosa, A. S., Duque, C. A., Tavil, A. E., & de Souza, L. A. R. (2016). An implementation of a power system smart waveform recorder using FPGA and ARM cores. Measurement, 90, 372–381.

    Article  Google Scholar 

  • Labs, G. (2021). Grafana documentation. https://grafana.com/docs/grafana/latest/. (Accessed: 03/18/2021).

  • Lopez-Ramirez, M., Ledesma-Carrillo, L. M., Martinez- Herrera, A. L., Cabal-Yepez, E., & Miranda- Vidales, H. (2014). FPGA-based reconfigurable unit for real-time power quality index estimation. In 2014 International Conference on Reconfigurable Computing and FPGAS (ReConFig14), pp. 1–6.

  • Lozano, H., & Ito, M. (2014). A deeply embedded processor for smart devices. In 2014 Interna- tional Conference on Smart Computing Workshops, pp. 79–86.

  • Makasheva, S., & Pinchukov, P. (2020). Power quality: Harmonic current distortion, standards, field testing and evaluation. In 2020 International Ural Conference on Electrical Power Engineering (Ural- Con), pp. 44-49.

  • Martens, O., Trampark, H., Liimets, A., Nobel, P., Veskimester, A., & Jarvalt, A. (2007). Dsp-based power-quality monitoring device. In 2007 IEEE In- ternational Symposium on Intelligent Signal Pro- cessing, pp. 1-5.

  • Martinez-Figueroa, G. D. J., Morinigo-Sotelo, D., Zorita-Lamadrid, A. L., Morales-Velazquez, L., & Romero-Troncoso, R. D. J. (2017). Fpgabased smart sensor for detection and classification of power quality disturbances using higher order statistics. IEEE Access, 5, 14259–14274.

    Article  Google Scholar 

  • Mohideen, F. (2010). Flexible FPGA based embedded system for remote power quality analysis and impulse recording. In 2010 5th International Confer- ence on Industrial and Information Systems, pp. 286-291.

  • Nios, I. (2014). Processor reference handbook. Altera.

  • Olechiw, W. J., Sabin, D. D., Dimitriu, C., Doherty, F., & McLeod, G. (2014). Power quality monitoring systems more information than just waveforms and events. In 2014 16th International Con- ference on Harmonics and Quality of Power (ICHQP), pp. 512-516.

  • Pallares-Lopez, V., Muñoz, A. M., Gil-de Castro, A., & Santiago-Chiquero, I. (2012). FPGA-based embedded system architecture for power quality measurements. In 2012 IEEE 15th International Con- ference on Harmonics and Quality of Power, pp. 507-511.

  • Parimala, K. V., & Nisha, K. (2016). FPGA based power quality monitoring using FFT method for single phase power metering. In 2016 International Conference on Emerging Technological Trends (ICETT), pp. 1-6.

  • Ribeiro, P. F., Duque, C. A., Ribeiro, P. M., & Cerqueira, A. S. (2013). Power systems signal processing for smart grids. NY: Wiley.

    Book  Google Scholar 

  • Sahani, M., & Dash, P. K. (2019). Fpga-based online power quality disturbances monitoring using reduced-sample hht and class-specific weighted rvfln. IEEE Transactions on Industrial Informat- ics, 15(8), 4614–4623.

    Article  Google Scholar 

  • Salem,M. E., Mohamed, A., Samad, S. A., & Mohamed, R. (2005). Development of a dsp-based power quality monitoring instrumentfor real-time detection of power disturbances. In 2005 International Conference on Power Electronics and Drives Sys- tems, (Vol. 1, pp. 304-307).

  • Schoeberl, M. (2011). Leros: A tiny microcontroller for FPGAs. In 2011 21st International Conference on Field Programmable Logic and Applications, pp. 10- 14.

  • Shu, S.-B., Luo, J.-R., Wang, Q.-Y., & Sun, B.-X. (2010). Design and implementation of a portable power quality monitoring device based on DSP and ARM. Power System Protection and Control, 38(24), 185–189.

    Google Scholar 

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Acknowledgements

An early version of paper was presented at XXIII Congresso Brasileiro de Automática (CBA 2020).

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Correspondence to Max M. Luiz.

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The authors would like to thank CNPq, CAPES and FAPEMIG (Brazilian research agencies) for supporting this work.

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Luiz, M.M., Duque, T.F., Almeida, A.H.S. et al. Power Quality Parameters Calculation Using FPGA Embedded Parallel Processors in Compliance with the IEC 61000-4-30 Standard. J Control Autom Electr Syst 33, 1249–1260 (2022). https://doi.org/10.1007/s40313-021-00886-8

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