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Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process

Year 2013, Volume: 3 Issue: 3, 688 - 697, 01.09.2013

Abstract

Power quality performance analysis of a wind turbine is necessary to properly characterize the turbine before proceeding to grid integration. The analysis requires following strict guidelines stated in available international standards. This paper discusses the available international standards for power quality analysis along with the procedures used for different parameter calculations. The principal object of the paper is to demonstrate the difference between non overlapping block mode and sliding mode iteration methods during parameter calculations. Results indicate that the non overlapping block mode method is a faster iteration process with a similar accuracy to the sliding mode method during wind turbine characterization. The paper showed power quality parameters calculated using the non overlapping block mode method and also discusses the effect of a high number of samples on the overall analysis result. High resolution recorded data from a grid connected wind turbine in West Texas is used for the analysis.

References

  • % Wind Energy by 2030;Increasing Wind Energy’s
  • Contribution to U.S. Electricity Supply, U.S. Department of Energy, 2008
  • C. Carillo, E. Diaz-Dorado, J. Cidras, “PSACD/EMTDC- Based Modeling and Flicker Estimation for Wind Turbines”, European Wind energy Conference, Marseille, Vol. 1, pp. 3091-3127, 16-19 March 2009.
  • Soo-Hwan Cho, Jae-Ahn Jung, Gilsoo Jang, and Sae- Hyuk Kwon, Moon-Ho Kang, “Development of Matlab/Simulink Module for Voltage Flicker Simulation in Distribution Power Systems”,Journal of Electrical Engineering & Technology, Vol. 3, N0. 3, pp 314-319, A. Morales, X. Robe, and J.C. Maun, “Assessment of Wind Power Quality: Implementation of IEC61400-21
  • Procedures”, Renewable Energy & Power Quality journal, No. 3, March 2005.
  • E. Muljadi, C. P. Butterfield, J. Chacon, and H. Romanowitz, “Power Quality Aspects in a Wind Power Plant”, IEEE Power Engineering Society General Meeting, Montreal, 18-22 June 2006.
  • Zbigniew Leonowicz, “Assessment of power quality in wind power systems”, Environmental and Electrical Engineering International Conference, Rome, 8-11 may Madsen, Peter Hauge. "Introduction to the IEC", Risİ DTU National Laboratory for Sustainable Energy, 21 August 2008.
  • IEC Standard 61400-21, Measurement and assessment of power quality characteristics of grid connected wind turbines, International Electrotechnical Commission,
  • IEEE Standard 519-1992, Recommended practices and requirements for harmonic control in electrical power systems, The Institute of Electrical and Electronics Engineers, 1993.
  • T. Hoevenaars, K. LeDoux, and M. Colosino, "Interpreting IEEE Std 519 and Meeting its Harmonic Limits in VFD Applications," in Copyright Material IEEE Paper No. PCIC-2003-15, May 6, 2003. IEEE Standard ,
  • Interconnecting Distributed Resources with Electric Power Systems, The Institute of Electrical and Electronics Engineers, 2003. IEEE Standard for
  • K. V. Cartwright, “Determining the effective or RMS voltage of various waveforms without calculus”, http://technologyinterface.nmsu.edu/Fall07/30_Cartwrig ht/index.pdf, 2007.
  • J. J. Gutierrez, J. Ruiz, P. Saiz, I. Azcerate, L. A. Leturiondo and A. Lazkano, Power quality in Grid Connected Wind Turbines, Wind Turbines, Dr. Ibrahim Al-Bahadly (Ed.), In Tech, 2011, ch. 24
  • IEC Standard 61000, Electromagnetic Compatibility
  • (EMC)-Part 4-7: Testing and measurement techniques – General guide on harmonics and interharmonics measurement and instrumentation, for power supply systems and equipment connected thereto, International Electrotechnical Commission, 2008.
  • Hsiung Cheng Lin, “Remote Real-time Power System Harmonics Detection and Monitoring via the internet”, International Conference on Systems, Man and Cybernetics, Vol. 3, pp. 2867-2872, 10-12 October, 2005.
  • J. J. Gutierrez, J. Ruiz, A. Lazkano, L. A. Leturiondo, Advances in Measurement Systems, In Tech, , ch. 15. IEC Standard 61000, Electromagnetic compatibility
  • (EMC)- Part 4-15: Testing and measurement techniques- Flickermeter- Functional and design specifications, International Electrotechnical Commission, 2008.
  • Test Report, Power Quality Measurement of the ECO 86, Dewi GmbH, 2011. Appendix A
  • Developing the digital flicker meter according to the IEC 61000-4-15 standard by using previously calculated fictitious voltage and measured grid current [17]. The digital flicker meter is shown in Figure 9.
  • After implementing all the blocks, the short term flicker coefficient for the desired time period (10 minute average data required to calculate single flicker coefficient value) are obtained.
Year 2013, Volume: 3 Issue: 3, 688 - 697, 01.09.2013

Abstract

References

  • % Wind Energy by 2030;Increasing Wind Energy’s
  • Contribution to U.S. Electricity Supply, U.S. Department of Energy, 2008
  • C. Carillo, E. Diaz-Dorado, J. Cidras, “PSACD/EMTDC- Based Modeling and Flicker Estimation for Wind Turbines”, European Wind energy Conference, Marseille, Vol. 1, pp. 3091-3127, 16-19 March 2009.
  • Soo-Hwan Cho, Jae-Ahn Jung, Gilsoo Jang, and Sae- Hyuk Kwon, Moon-Ho Kang, “Development of Matlab/Simulink Module for Voltage Flicker Simulation in Distribution Power Systems”,Journal of Electrical Engineering & Technology, Vol. 3, N0. 3, pp 314-319, A. Morales, X. Robe, and J.C. Maun, “Assessment of Wind Power Quality: Implementation of IEC61400-21
  • Procedures”, Renewable Energy & Power Quality journal, No. 3, March 2005.
  • E. Muljadi, C. P. Butterfield, J. Chacon, and H. Romanowitz, “Power Quality Aspects in a Wind Power Plant”, IEEE Power Engineering Society General Meeting, Montreal, 18-22 June 2006.
  • Zbigniew Leonowicz, “Assessment of power quality in wind power systems”, Environmental and Electrical Engineering International Conference, Rome, 8-11 may Madsen, Peter Hauge. "Introduction to the IEC", Risİ DTU National Laboratory for Sustainable Energy, 21 August 2008.
  • IEC Standard 61400-21, Measurement and assessment of power quality characteristics of grid connected wind turbines, International Electrotechnical Commission,
  • IEEE Standard 519-1992, Recommended practices and requirements for harmonic control in electrical power systems, The Institute of Electrical and Electronics Engineers, 1993.
  • T. Hoevenaars, K. LeDoux, and M. Colosino, "Interpreting IEEE Std 519 and Meeting its Harmonic Limits in VFD Applications," in Copyright Material IEEE Paper No. PCIC-2003-15, May 6, 2003. IEEE Standard ,
  • Interconnecting Distributed Resources with Electric Power Systems, The Institute of Electrical and Electronics Engineers, 2003. IEEE Standard for
  • K. V. Cartwright, “Determining the effective or RMS voltage of various waveforms without calculus”, http://technologyinterface.nmsu.edu/Fall07/30_Cartwrig ht/index.pdf, 2007.
  • J. J. Gutierrez, J. Ruiz, P. Saiz, I. Azcerate, L. A. Leturiondo and A. Lazkano, Power quality in Grid Connected Wind Turbines, Wind Turbines, Dr. Ibrahim Al-Bahadly (Ed.), In Tech, 2011, ch. 24
  • IEC Standard 61000, Electromagnetic Compatibility
  • (EMC)-Part 4-7: Testing and measurement techniques – General guide on harmonics and interharmonics measurement and instrumentation, for power supply systems and equipment connected thereto, International Electrotechnical Commission, 2008.
  • Hsiung Cheng Lin, “Remote Real-time Power System Harmonics Detection and Monitoring via the internet”, International Conference on Systems, Man and Cybernetics, Vol. 3, pp. 2867-2872, 10-12 October, 2005.
  • J. J. Gutierrez, J. Ruiz, A. Lazkano, L. A. Leturiondo, Advances in Measurement Systems, In Tech, , ch. 15. IEC Standard 61000, Electromagnetic compatibility
  • (EMC)- Part 4-15: Testing and measurement techniques- Flickermeter- Functional and design specifications, International Electrotechnical Commission, 2008.
  • Test Report, Power Quality Measurement of the ECO 86, Dewi GmbH, 2011. Appendix A
  • Developing the digital flicker meter according to the IEC 61000-4-15 standard by using previously calculated fictitious voltage and measured grid current [17]. The digital flicker meter is shown in Figure 9.
  • After implementing all the blocks, the short term flicker coefficient for the desired time period (10 minute average data required to calculate single flicker coefficient value) are obtained.
There are 21 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Atiqul Islam This is me

Sandeep Nimmagadda This is me

Stephen B Bayne This is me

Lourdes Garcia Caballero This is me

Publication Date September 1, 2013
Published in Issue Year 2013 Volume: 3 Issue: 3

Cite

APA Islam, A., Nimmagadda, S., Bayne, S. B., Caballero, L. G. (2013). Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process. International Journal Of Renewable Energy Research, 3(3), 688-697.
AMA Islam A, Nimmagadda S, Bayne SB, Caballero LG. Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process. International Journal Of Renewable Energy Research. September 2013;3(3):688-697.
Chicago Islam, Atiqul, Sandeep Nimmagadda, Stephen B Bayne, and Lourdes Garcia Caballero. “Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process”. International Journal Of Renewable Energy Research 3, no. 3 (September 2013): 688-97.
EndNote Islam A, Nimmagadda S, Bayne SB, Caballero LG (September 1, 2013) Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process. International Journal Of Renewable Energy Research 3 3 688–697.
IEEE A. Islam, S. Nimmagadda, S. B. Bayne, and L. G. Caballero, “Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process”, International Journal Of Renewable Energy Research, vol. 3, no. 3, pp. 688–697, 2013.
ISNAD Islam, Atiqul et al. “Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process”. International Journal Of Renewable Energy Research 3/3 (September 2013), 688-697.
JAMA Islam A, Nimmagadda S, Bayne SB, Caballero LG. Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process. International Journal Of Renewable Energy Research. 2013;3:688–697.
MLA Islam, Atiqul et al. “Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process”. International Journal Of Renewable Energy Research, vol. 3, no. 3, 2013, pp. 688-97.
Vancouver Islam A, Nimmagadda S, Bayne SB, Caballero LG. Power Quality Analysis of a Wind Turbine Using Optimal Iteration Process. International Journal Of Renewable Energy Research. 2013;3(3):688-97.