DOI QR코드

DOI QR Code

Voltage Sag Assessment Considering the Characteristics of Wind Power

풍력 발전 특성을 고려한 순간전압강하 평가

  • 송영원 (부경대학교 전기공학과) ;
  • 박창현 (부경대학교 전기공학과)
  • Received : 2012.08.31
  • Accepted : 2012.10.09
  • Published : 2012.11.01

Abstract

This paper presents a method for assessing the voltage sag performance of power system involving wind power generation. Wind power generation is considered as one of the most desirable renewable energy sources. However, wind power generation have uncertain energy output and it is difficult to control the output. The existing methods of voltage sag assessment are not reflected the characteristics of wind power generation. Therefore, in order to more accurately assess the voltage sag performance, the probability of wind power operation is evaluated. In this paper, the probability is determined by combining the wind speed model with the output curve of wind turbine. The probability of wind power operation is reflected as a parameter in voltage sag assessment. The proposed method can provide more accurate results of voltage sag assessment for the case involving the wind power generation.

Keywords

References

  1. M. H. J. Bollen, Understanding Power Quality Problems: Voltage Sags and Interruptions,Piscataway, NJ, 2000 IEEE Power Engineering Series.
  2. 송승호 역, 태양광 풍력발전과 계통연계기술, 성안당, 2011
  3. Leon Freris, David Infield, Renewable Energy in Power Systems, Wiley, 2011
  4. M. H. J. Bollen, "Fast Assessment Methods for Voltage Sags in Distribution Systems," IEEE Trans. Ind. Appl., vol. 32, no. 6, pp. 1414-1423, Nov./Dec. 1996. https://doi.org/10.1109/28.556647
  5. L. Conrad, K. Little, and C. Grigg, "Predicting and Preventing Problems Associated with Remote Fault-clearing Voltage Dips". IEEE Trans. Ind. Appl., vol. 27 no.1, pp.167-172, Jan.-Feb. 1991. https://doi.org/10.1109/28.67549
  6. M. R. Qader, M. H. J. Bollen, and R. N. Allan, "Stochastic Prediction of Voltage sags in a Large Transmission System" IEEE Trans. Ind. Appl., Vol.35, No1, pp. 152-162, 1999. https://doi.org/10.1109/28.740859
  7. C. H. Park and G. Jang, "Stochastic Estimation of Voltage Sags in a Large Meshed Network," IEEE Trans. Power Del., vol. 22, no. 3, pp. 1655-1664, Jul. 2007. https://doi.org/10.1109/TPWRD.2006.886795
  8. 고경남, 허종철 공역, 풍력공학입문, 문운당, 2006.
  9. Kyeonghee Cho and Jaeseok Choi, "Web based Online Real-time Reliability Integrated Information System in Composite Power System Considering Wind Turbine Generators ", The Korean Institute of Electrical Engineers, Vol.60 No.7, pp. 1305-1313, 2011. https://doi.org/10.5370/KIEE.2011.60.7.1305
  10. J. H. Jang, Fundamentals of Wind Turbine, Intervision, 2010.
  11. Masters, C.L., Mutale, J., Strbac, G., Curcic, S. and Jenkins, N., "Statistical evaluation of voltages in distribution systems with embedded wind generation", IEE Proc.-Gener, Transm and Distrib, vol.147, no.4, pp. 207 - 212, 2000. https://doi.org/10.1049/ip-gtd:20000410
  12. IEEE 57-Bus Test Case, [Online]. Available: http://www.ee.washington.edu/research/pstca/pf57/pg_tca57bus.htm.