The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
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The New Voltage Event Detection Method and Control System Design for DVR Applied to 22.9kV Distribution System

22.9kV 배전선로 적용을 위한 DVR의 새로운 외란검출 기법 및 제어시스템 설계

  • Published : 2006.01.01
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Abstract

This paper proposes the new voltage event detection method using the weight factor of neural network and describes control system design for the DVR(Dynamic Voltage Restorer) consisted of a rectifier and series inverter applied to 22.9kV distribution system. As this method can express the fault level of each phase, we expect the proposed method can make up for disadvantage of synchronous detection method. Also, in this paper, the control system was designed using double deadbeat controller, As it has an inner current control loop and an outer voltage control loop, we can easily limit the current level during the transient intervals by using the current control loop. Simulation and experiment are performed to prove the analysis of the voltage event detection method and double deadbeat controller.

Keywords

References

  1. M.H.J. Bollen, 'Voltage sags: Effects, mitigation and prediction,' Power Engineering Journal, pp, 129-134, June, 1996 https://doi.org/10.1049/pe:19960304
  2. M. McGranaghan, D. R. Mueller and M. J. Samotyj, 'Voltage sags in industrial systems,' IEEE Transactions on Industry Applications, Vol. 29, No. 2, March/April 1993 https://doi.org/10.1109/28.216550
  3. D. Povh, K. Pregizer, M. Weinhold and R. Zurowski, 'Improvement of Supply Quality in distribution systems,' CIRED'97, Birmingham, June, 1997
  4. Westinghouse Science & Technology Center, 'A Novel Approach to Eliminate Distribution System Disturbances', Westinghouse Research Memo 92M015, November, 1992
  5. H. W. Furst, Manfred Pigl and Josef Baier, 'An Anlaog Method for Detecting Superimposed Power Line Voltage Disturbance', IEEE Transactions on Instrumentation and Measurement, vol. 43, no. 6, pp. 889-893, December, 1994 https://doi.org/10.1109/19.368080
  6. Hossein Mokhtari, Sashi B. Dewan, 'Performance Evaluation of Thyristor Based Static Transfer Switch', IEEE Trans. on Power Delivery, Vol. 15, No.3, pp, 960-966, July, 2000 https://doi.org/10.1109/61.871359
  7. T. Kawabata, T. Miyashita, Y. Yamamoto, 'Digital Control of Three-Phase PWM Inverter with LC Filter', IEEE Trans. Power Electronics, vo1.6, nol, pp.67-72, Jan. 1991 https://doi.org/10.1109/63.65004
  8. T. Kawabata, Y. Shikano, S. Higashino, Y. Yamamoto, M.Udaka, Kawagishi,' Chargerless UPS Using Multi-functional BIMOS inverter' IEEE IAS Annual Meeting, pp513-520. 1986
  9. Bernard Widrow, Michael A. Lehr, '30 Years of Adaptive Neural Networks : Perceptron, Madaline and Backpropagaton', Proceeding of the IEEE, Vol.78, No.9, pp1415-1442. September, 1990 https://doi.org/10.1109/5.58323
  10. K. P. Gokhale, A. Kawamura and R. G. Hoft, 'Deadbeat microprocessor control of PWM inverter for sinusoidal output waveform synthesis', Proc. IEEE PESC, pp28-36, 1985