Abstract
This paper aims to evaluate the performance of commercial class A and class S power quality (PQ) instruments when measuring time-varying harmonics. By using a high precision programmable voltage and current source, two meters from different manufacturers are analyzed and compared. Three-phase voltage signals are applied to PQ instruments, considering 3 situations of time-varying harmonic distortions, whose harmonic distortion values are in accordance with typical values found in power systems. This work is relevant considering that international standardization documents do not pay much attention to this aspect of harmonic distortion.
References
[1] Dugan RC, McGranaghan MF, Santoso S, Beaty HW. Electrical power systems quality, 3rd ed. New York: McGraw-Hill, 2012.Search in Google Scholar
[2] Arrillaga J, Watson NR, Chen S. Power system quality assessment. New York: John Wiley and Sons, 2000.Search in Google Scholar
[3] Ribeiro PF, Brasil DOC, Medeiros JR, Oliveira JC, Delaiba AC. Considerations on power quality measurements and measurement instrumentation. 7th EPQU – International Conference on Electrical Power Quality and Utilisation, Cracóvia, Polônia, 2003.Search in Google Scholar
[4] IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems, IEEE Std 519-2014, DOI: 10.1109/IEEESTD.2014.6826459.Search in Google Scholar
[5] Femine AD, Gallo D, Landi C, Luiso M. Performance analysis of power quality monitoring instruments. IEEE International Instrumentation and Measurement Technology Conference, Canada, 2008.10.1109/IMTC.2008.4547381Search in Google Scholar
[6] Chmielowiec K, Zietek M, Piatek K, Firlit A, Szkoda R, Balawender P. Comparative tests of power quality analyzers – harmonic distortion. IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP), Hong Kong, China, 2012.10.1109/ICHQP.2012.6381286Search in Google Scholar
[7] IEC Electromagnetic Compatibility (EMC) – Part 4 – 30: Testing and Measurements Techniques – Power Quality Measurement Methods. IEC 61000-4-30. 2008.Search in Google Scholar
[8] IEC 62586-1 – Power Quality Measurement in Power Supply Systems – Part 1: Power Quality Instruments. 2013.Search in Google Scholar
[9] Bingham RP. Recent advancements in monitoring the quality of the supply. Power Engineering Society Summer Meeting, Vancouver, BC, Canada, 2001.10.1109/PESS.2001.970217Search in Google Scholar
[10] Gallo D, Landi C, Langella R, Testa A. Implementation of a test system for advanced calibration and performance analyses of Flickermeters. >IMTC – Instrumentation and Measurement Technology Conference, VAIL, CO, USA, 2003.10.1109/TIM.2004.831493Search in Google Scholar
[11] IEC Electromagnetic Compatibility (EMC) – Part 4 – 15: Testing and Measurement Techniques – Flickermeter – Functional and Design Specifications. IEC 61000-4-15 Ed 2; 2010.Search in Google Scholar
[12] Gallo D, Landi C, Pasquino N, Polese N. A new methodological approach to quality assurance of energy meters under nonsinusoidal conditions. IEEE Trans Instrum Meas October 2007;56(5):1694–702.10.1109/TIM.2007.903607Search in Google Scholar
[13] Ferrero A, Lazzaroni M, Salicone S. A calibration procedure for a digital instrument for electric power quality measurement. IEEE Trans Instrum Meas August 2002;51(4):716–22.10.1109/IMTC.2001.928823Search in Google Scholar
[14] Laskar SH, Muhammad M. Power quality monitoring by virtual instrumentation using LabVIEW. 46th International Universities Power Engineering Conference (UPEC), Soest, Germany, 2011.Search in Google Scholar
[15] Bath SK, Kumra S. Simulation and measurement of power waveform distortions using LabVIEW. IEEE International Power Modulators and High Voltage Conference, USA, 2008.10.1109/IPMC.2008.4743681Search in Google Scholar
[16] Pradhan D, Lakshminarayanan L, Patil V. A LabVIEW based power analyzer. International Conference on Advances in Energy Conversion Technology (ICAECT), Manipal, India, 2014.10.1109/ICAECT.2014.6757063Search in Google Scholar
[17] Phang YY, Chilukuri MV. Remote power quality monitoring and analysis system using LabVIEW software. IEEE Conference on Instrumentation and Measurement Technology, Singapore, 2009.Search in Google Scholar
[18] Búa-Núñez I, Posada-Román JE, Rubio-Serrano J. Garcia-Souto JA. Instrumentation system for location of partial discharges using acoustic detection with piezoelectric transducers and optical fiber sensors. IEEE Trans Instrum Meas May 2014;63(5):1002–13.10.1109/TIM.2013.2286891Search in Google Scholar
[19] Chandra APJ, Venugopal CR. Novel design solutions for remote access. Acquire and control of laboratory experiments on DC machines. IEEE Trans Instrum Meas Feb 2012;61(2):349–57.10.1109/TIM.2011.2164291Search in Google Scholar
[20] Belchior FN, Galvão TM, Ribeiro PF, Silveira PM. Comparative analysis of power quality instruments in measuring power under distorted conditions. Int J Emerging Electr Power Syst. ISSN (Online) 1553-779X, DOI: 10.1515/ijeeps-2015-0042, August 2015.Search in Google Scholar
[21] Barros J, Diego RI, Apraíz M. A discussion of new requirements for measurement of harmonic distortion in modern power supply systems. IEEE Trans Instrum Meas Aug 2013;62(8):2129–39.10.1109/TIM.2013.2267451Search in Google Scholar
[22] Duque CA, Silveira PM, Baldwin TL, Ribeiro PF. Tracking simultaneous time-varying power harmonic distortions using filter banks. IEEE Industrial and Commercial Power Systems Technical Conference (I&CPS), Tallahassee, FL, USA, 2010.10.1109/ICPS.2010.5489885Search in Google Scholar
[23] Carvalho TCO, Ćuk V, Duque CA, Silveira PM, Mendes MAS, Ribeiro PF. A verification experiment for comparing digital and analog measurements of time-varying harmonics. IEEE PES General Meeting. Conference & Exposition, Jul, Washington, DC, USA, 2014.10.1109/PESGM.2014.6939232Search in Google Scholar
[24] Fabri DF, Martins CHN, Silva LRM, Duque CA, Ribeiro PF, Cerqueira AS. Time-varying harmonic analyzer prototype. 14th IEEE International Conference on Harmonics and Quality of Power (ICHQP), Bergamo, Italy, 2010.10.1109/ICHQP.2010.5625319Search in Google Scholar
[25] Duque CA, Silveira PM, Ribeiro PF. Visualizing time-varying harmonics using filter banks. Electric Power Syst Res (Print 2011;81:974–83.10.1016/j.epsr.2010.11.030Search in Google Scholar
[26] Xu J. FPGA-based rear time processing of time-varying waveform distortions and power disturbances in power systems. Thesis. Florida State University, 2007.Search in Google Scholar
[27] Ribeiro PF. Time-varying waveform distortions in power systems hardcover – Aug 24, 2009.10.1002/9780470746752Search in Google Scholar
[28] ANEEL – Brazilian Electricity Agency PRODIST – the Module 8 – “Power Quality”. 4th Revision. 2012. www.aneel.gov.br.Search in Google Scholar
[29] IEEE Standard Dictionary of Electrical and Electronics Terms. ANSI/IEEE Std.100-1992 (Fifth Edition).Inc. New York, 1992:373, 758, 996.Search in Google Scholar
[30] IEC Electromagnetic Compatibility (EMC) – Part 4 – 7: Testing and Measurement Techniques – General Guide on Harmonics and Interharmonics Measurements and Instrumentation. For Power Supply Systems and Equipment Connected Thereto. IEC 61000-4-7 Ed 2.1. 2009.Search in Google Scholar
[31] Programmable source CMC256 plus. Omicron – https://www.omicron.at/en/products/all/secondary-testing-calibration/cmc-256plus. Accessed 28 June 2016.Search in Google Scholar
[32] DAQ Acquisition NI USB 6212. http://sine.ni.com/nips/cds/view/p/lang/pt/nid/207096. Accessed 28 June 2016.Search in Google Scholar
©2016 by De Gruyter
Articles in the same Issue
- Frontmatter
- Research Articles
- Control of Grid Connected Photovoltaic System Using Three-Level T-Type Inverter
- A New Method for Setting Calculation Sequence of Directional Relay Protection in Multi-Loop Networks
- Performance Analysis of SISFCL with the Variation of Circuit Parameters using Jiles Atherton Hysteresis Model
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- Grid Integration of Single Stage Solar PV System using Three-level Voltage Source Converter
- Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System
- A New Control Method to Mitigate Power Fluctuations for Grid Integrated PV/Wind Hybrid Power System Using Ultracapacitors
- Comparative Analysis of Instruments Measuring Time Varying Harmonics
- Application of Energy Function as a Measure of Error in the Numerical Solution for Online Transient Stability Assessment
Articles in the same Issue
- Frontmatter
- Research Articles
- Control of Grid Connected Photovoltaic System Using Three-Level T-Type Inverter
- A New Method for Setting Calculation Sequence of Directional Relay Protection in Multi-Loop Networks
- Performance Analysis of SISFCL with the Variation of Circuit Parameters using Jiles Atherton Hysteresis Model
- Generation Expansion Planning with High Penetration of Wind Power
- Grid Integration of Single Stage Solar PV System using Three-level Voltage Source Converter
- Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System
- A New Control Method to Mitigate Power Fluctuations for Grid Integrated PV/Wind Hybrid Power System Using Ultracapacitors
- Comparative Analysis of Instruments Measuring Time Varying Harmonics
- Application of Energy Function as a Measure of Error in the Numerical Solution for Online Transient Stability Assessment