A study on the feasibility and effectiveness of digital filter application for harmonic and interharmonic measurement in compliance with IEC 61000-4-7

• Autorzy: Ferrigno L. , Landi C. , Laracca M. , Luongo C.
• Języki publikacji: EN

Abstrakty

EN

Large scale monitoring of power quality in electrical power plants is nowadays a pressing need due to the liberalization of the electrical market in many countries and the deeper interconnections of electrical networks. Many instruments are today available on the market. Even if they provide good accuracy and measurement capability, they are generally developed for single point measurements. Their use in large scale monitoring leads to high costs. In this framework research activity, the authors aim at the realization of a measurement instrument for power quality monitoring in compliance with IEC 61000-4-30 and 61000-4-7 standards capable of granting good accuracy, satisfying repeatability, and cost effectiveness since the use in large scale monitoring is allowed. In this paper the attention is paid to the measurement algorithm to be adopted. The use of an alternative measurement approach with respect to the FFT one is proposed. Digital filters shaped on the harmonic group are thoroughly optimized for grouping measurements required by the IEC EN 61000-4-7 standard both in simulation and emulation environments. The obtained results confirm the advantages of the proposal.

Słowa kluczowe

EN

digital filters; power quality; waveform distortion analysis; power system measurement

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2007
• Tom: Vol. 14, nr 4
• Strony: 577--593
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Ferrigno L.

autor

Landi C.

autor

Laracca M.

autor

Luongo C.

• DAEIMI - University of Cassino, Italy,

Bibliografia

• 1. IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Standard 1159, 1995.
• 2. IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power System, IEEE Standard 519, 1992.
• 3. Electromagnetic Compatibility - Testing and Measurement Techniques - Power Quality Measurement Methods, International standard IEC 61000-4-30, 2003.
• 4. Electromagnetic Compatibility - Testing and Measurement Techniques - General Guide on Harmonics and Interharmonics Measurements and Instrumentation, for Power Supply Systems and Equipment Connected thereto, International standard IEC 61000-4-7, 2002.
• 5. Cataliotti A., Cosentino V., Nuccio S.: The metrological characterization of the static meters for reactive energy in the presence of harmonic distortion. Proc. of IMTC/2007, Warsaw, Poland, 2007, pp. 1-6.
• 6. Definitions for the Measurement of Electric Power Quantities under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions, IEEE Trial-Use Standard 1459, 2000.
• 7. Aiello M., Cataliotti A., Cosentino V. and Nuccio S.: Synchronization Techniques for Power Quality Instruments. IEEE Transaction on Instrumentation and Measurement, vol. 56, no. 5, 2007, pp. 1511-1519.
• 8. Bracale A., Carpinelli G., Leonowicz Z., Lobos T., Rezmer J.: Measurement of IEC Groups and Subgroups using Advanced Spectrum Estimation Methods. Proc. of IMTC/2006, Sorrento, Italy, 2006, pp. 1-6.
• 9. Perunicic B., Mallini M., Wang Z., Liu Y.: Power quality disturbance detection and classification using wavelets and artificial neural networks. Proc. of 8th International Conference on Harmonics And Quality of Power, vol. 1, 1998, pp. 77-82.
• 10. Styvaktakis E., Bollen M. H. J., Gu I. Y. H.: Automatic Classification of Power System Events Using RMS Voltage Measurements. Power Engineering Society Summer Meeting, vol. 2, 2002, pp. 824-829.
• 11. Gaouda A. M., Kanoun S. H., Salama M. M. A., Chikhani A. Y.: Pattern Recognition Applications for Power System Disturbance Classification. IEEE Trans. Power Del., vol. 17, no. 3, 2002, pp. 677-683.
• 12. Gaing Z.-L.: Wavelet-based neural network for power quality disturbance recognition and classification. IEEE Trans. Power Del., vol. 19, no. 4, 2004, pp. 1560-1568.
• 13. Wang M., Rowe G. I., Manishev A. V.: Classification of power quality events using optimal time-frequency representations, theory and application. IEEE Trans. Power Del., vol. 19, no. 3, 2004, pp. 1496-1503.
• 14. Zhu F.-F., Hu G.-S., Xie J.: Classification of power quality disturbances using wavelet and fuzzy support vector machines. Proc. of 4th International Conference on Machine Learning and Cybernetics, vol. 7, 2005, pp. 3981-3984.
• 15. Matz V., Radil T., Ramos P., Serra A. C.: Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances. Proc. of IMTC/2007, Warsaw, Poland, 2007, pp. 1-6.
• 16. Dash P. K., Panda S. K., Liew A. C., Lock K. S.: A New Approach to Monitor Power Quality Problems in Power Supply Networks. Proc. of International Conference on Power Electronics and Drive Systems, vol. 2, 1997, pp. 857-861.
• 17. Chen Z., Urwin P.: Power Quality Detection and Classification Using Digital Filters. Proc. Porto PowerTech, vol. 1, 2001.
• 18. Ramos F. R., Ribeiro M. V., Romano J. M. T., Duque C. A.: On Signal Processing Approach for Event Detection and Compression applied to Power Quality Evaluation. Proc. of 10th International Conference on Harmonics and Quality of Power, 2002, pp. 132-138.
• 19. Mostafa M. A.: Kalman Filtering Algorithm For Electric Power Quality Analysis: Harmonics and Voltage Sags Problems. Proc. of LESCOPE/03, 2003, pp. 110-119.
• 20. Dash P. K., Chilukuri M. V.: Hybrid S-Transform and Kalman Filtering Approach for Detection and Measurement of Short Duration Disturbances in Power Networks. IEEE Transactions on Instrumentation and Measurement, vol. 53, no. 2, 2004, pp. 588-596.
• 21. Bucci G., Landi C.: On-line digital measurement for the quality analysis of power systems under nonsinusoidal conditions. IEEE Transaction on Instrumentation and Measurement, vol. 48, no. 4, 1999, pp. 853-857.
• 22. Bucci G., Fiorucci E., Landi C.: Digital measurement station for power quality analysis in distributed environments. IEEE Transaction on Instrumentation and Measurement, vol. 52, no. 1, 2003, pp. 75-84.
• 23. Bernieri A., Ferrigno L., Laracca M., Verde P.: Wireless sensor network for power quality monitoring according to IEC 61000-4-30. Proc. of XIII IMEKO-TC4, vol. 2, 2004, pp. 752-758.
• 24. Castaldo D., Gallo D., Landi C., Testa A.: A digital instrument for nonstationary disturbance analysis in power lines. IEEE Transaction on Instrumentation and Measurement, vol. 53, no. 5, 2004, pp. 1353-1361.
• 25. Gallo D., Landi C., Langella R., Testa A.: Implementation of a test system for advanced calibration and performance analysis of flickermeters. IEEE Transaction on Instrumentation and Measurement, vol. 53, no. 4, 2004, pp. 1078-1085.
• 26. Gallo D., Landi C., Pasquino N.: Design and Calibration of an Objective Flickermeter. IEEE Transaction on Instrumentation and Measurement, vol. 55, no. 6, 2006, pp. 2118-2125.
• 27. Ferrigno L., Laracca M., Landi C., Luongo C.: A Study on the Feasibility and Effectiveness of Digital Filters Approach for Power Quality Monitoring in Compliance with IEC 61000-4-7. Proc. of IMEKO-TC4/2007, Iasi, Romania, 2007, pp. 449-454.
• 28. Limits for harmonic current emissions - equipment input current up to and including 16A per phase, IEC 61000-3-2, 2003.
• 29. Voltage Characteristics of the Electricity Supplied by Public Distribution Systems, CENELEC, EN 50160, Nov 1999.
• 30. Ferrigno L., Laracca M., Landi C., Luongo C.: A low cost FPGA-based Measurement Instrument for Power Quality Monitoring according to IEC Standards. To be presented at I2MTC/2008, Victoria, Vancouver Island, British Columbia, Canada, May 2008.