Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

NEW ADAPTIVE METHOD FOR VOLTAGE SAG AND SWELL DETECTION

  • Mohamed, Mansour A. (Electrical Engineering Department, Assiut University)
  • Received : 2013.03.07
  • Accepted : 2013.03.18
  • Published : 2013.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents an adaptive recursive least squares algorithm (ARLS) for detecting voltage sag and voltage swell events in power systems. Different methods have been developed to detect voltage sag and voltage swell. Some of them use window techniques, which are too slow when voltage sag or swell mitigation is required. Others depend on the extraction of a single non-stationary sinusoidal signal out of a given multi-components input signal, and therefore they don't consider the harmonic components in calculating the voltage root mean square value (rms). The method, proposed in this paper, is capable of estimating the voltage rms taking into account all harmonic components. The method is tested by applying it to different, simulated signals using ATP program, and compared with voltage sag detection algorithms.

Keywords

References

  1. M. F. McGranaghan, D. R. Ruller, and M. J. Samotyi, "Voltage sags in industrial power systems," IEEE Trans. on Industry Applications, vol. 29, no. 2, pp. 379-403, March/April 1993.
  2. IEEE Recommended Practice for Monitoring Electric Power Quality, 1995. ANSI/IEEE standard 1159.
  3. P. Wang, N. Jenkins, and M. H. J. Bollen, "Experimental investigation of voltage sag mitigation by an advanced static VAR compensator," IEEE Trans. Power Delivery, vol. 13, no. 4, pp. 1641-1647, Oct. 1998.
  4. EPRI CEIDS Report, "The cost of power disturbances to industrial and digital economy companies," Executive Summary, July 2001.
  5. W. Lee, B. Han, and H. Cha, "Three-phase dynamic voltage restorer with a robust voltage sag detection method," in Proc. 2nd IEEE ENERGYCON conference and exhibition, 2012, pp. 533-538
  6. C. Zhan, V. K. Ramachandaramurthy, A. Arulampalam, C. Fitzer, S. kromlidis, M. Barnes, and N. Jenkins, "Dynamic voltage restorer based on voltage space vector PWM control," IEEE Trans. Industry Applications, vol. 37, pp. 1855-1863, Nov./Dec. 2001. https://doi.org/10.1109/28.968201
  7. R. Naidoo, and P. Pillay, "A new method of voltage sag and swell detection," IEEE Trans. Power Delivery, vol. 22, no. 2, pp. 1056-1063, Apr. 2007. https://doi.org/10.1109/TPWRD.2007.893185
  8. S. Kamble, and C. Thorat, "A new algorithm for voltage sag detection," in Proc. IEEE Int. Conf. Advances in Engineering, Science and Management, ICAESM 2012, pp. 138-143.
  9. Florio, and M. Mazzucchelli, "Voltage sag detection based on rectified voltage processing," IEEE Trans. Power Delivery, vol. 19, no. 4, pp. 1962-1967, Oct. 2004. https://doi.org/10.1109/TPWRD.2004.829924
  10. Fitzer, M. Barnes, and P. Green, "Voltage sag detection technique for a dynamic voltage restorer," IEEE Trans. Industry Applications, vol. 40, no.14, pp. 203-212, Jan./Feb. 2004. https://doi.org/10.1109/TIA.2003.821801
  11. G. Lu, and X. Wang, "Voltage sag detection and identification based on phase-shift and RBF neural network," in Proc. 4th Int. Conf. Fuzzy Systems and Knowledge Discovery, 2007, pp. 684-688.
  12. M. Khosravi, M. A. Hajibagherifard, and M. T. Bina, " The study of voltage sag detection by improved S-transform," in Proc. 3rd Power Electronics and Drive systems Technology (PEDSTC) Conference, Feb. 2012, pp. 160 -163.
  13. H. W. Dommel, Electromagnetic Transients Program. Reference Manual (EMTP Theory Book), Bonneville Power Administration, Portland, 1986.
  14. IEEE Recommended Practices and Requirements for Harmonics Control in Power Systems (ANSI), IEEE 519 std., 1992.