DOI QR코드

DOI QR Code

Stability Index Based Voltage Collapse Prediction and Contingency Analysis

  • Subramani, C. (Dept. of Electrical and Electronics Engineering, Velammal Engineering College) ;
  • Dash, Subhransu Sekhar (Dept. of Electrical and Electronics Engineering, SRM University) ;
  • Jagdeeshkumar, M. (Dept. of Electrical and Electronics Engineering, Velammal Engineering College) ;
  • Bhaskar, M. Arun (Dept. of Electrical and Electronics Engineering, Velammal Engineering College)
  • Published : 2009.12.01

Abstract

Voltage instability is a phenomenon that could occur in power systems due to stressed conditions. The result would be an occurrence of voltage collapse leading to total blackout of the system. Therefore, voltage collapse prediction is an important part of power system planning and operation, and can help ensure that voltage collapse due to voltage instability is avoided. Line outages in power systems may also cause voltage collapse, thereby implying the contingency in the system. Contingency problems caused by line outages have been identified as one of the main causes of voltage instability in power systems. This paper presents a new technique for contingency ranking based on voltage stability conditions in power systems. A new line stability index was formulated and used to identify the critical line outages and sensitive lines in the system. Line outage contingency ranking was performed on several loading conditions in order to identify the effect of an increase in loading to critical line outages. Correlation studies on the results obtained from contingency ranking and voltage stability analysis were also conducted, and it was found that line outages in weak lines would cause voltage instability conditions in a system. Subsequently, using the results from the contingency ranking, weak areas in the system can be identified. The proposed contingency ranking technique was tested on the IEEE reliability test system.

Keywords

References

  1. H. D. Chiang, I. Dobson, and R. J. Thomas, 'On Voltage Collapse in Electric Power Systems,' IEEE Transactions on Power Systems, vol. 5, no. 2, pp.601-611 , May 1990 https://doi.org/10.1109/59.54571
  2. M. S. Rodrigues, J. C. S. Souza, M. B. Do Coutto Filho, and M. Th. Schilling, 'Automatic Contingency Selection Based on a Pattem Analysis Approach,' Proceedings of IEEE lnternational Conference on Electric Power Engineering, Powεr Tech Budapest, pp. 179, 1999
  3. A. O. Ekwue, A. M. Chebbo, M. E. Bradlεy, andH. B. Wan, 'Experience of Automatic Contingency Selection Algorithms on the NGC System,' IEEE Power Engineering Review, pp. 53-55, March 1998 https://doi.org/10.1109/39.655236
  4. S. Greene, I. Dobson, and F. L. Alvarado, 'Contingency Ranking for Voltage Collapsε via Sensitivities from a Single Nose Curve,' IEEE Transactions onPower Systems, vol. 14, no. 1 pp. 232-240, February 1999 https://doi.org/10.1109/59.744538
  5. F. Gubina, A. Dεbs , and R. Golob, 'Improved Adjoint Network Algorithm for On-line Contingency Analysis,' lnternational Journal of Electric Power Systems Research, 138, pp. 161-168, 1996
  6. Mohamed A, Shaaban, H and Kahla, A, 'A Fast Efficient Accurate Technique for Circuit Contingency Evaluation', lnternational Journal of Electric Power Systems Research, 45, 1998, pp 181-189 https://doi.org/10.1016/S0378-7796(97)01221-2
  7. Musirin, I., and Abdul Rahman, T. K., 'Estimating Maximum Loadability for Weak Bus Identification Using FVSI,' IEEE Power Engineering Review, 22, pp. 50-52, 2002
  8. Enrique Acha, Claudio R. Fuerte Esquivel, Hugo Ambriz- Perez, Cesar Angeles-Camacho, 'Modelling and Simulation in Power Networks,' John Wiley & SonsLimited, 2004

Cited by

  1. New Stability Criteria for Linear Systems with Interval Time-varying State Delays vol.6, pp.5, 2011, https://doi.org/10.5370/JEET.2011.6.5.713
  2. Optimal Power Flow Using Differential Search Algorithm vol.42, pp.15, 2014, https://doi.org/10.1080/15325008.2014.949912