Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Power Distribution System Planning with Demand Uncertainty Consideration

  • Published : 2008.03.01
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Abstract

This paper proposes a method for solving distribution system planning problems taking into account demand uncertainty and geographical information. The proposed method can automatically select appropriate location and size of a substation, routing of feeders, and appropriate sizes of conductors while satisfying constraints, e.g. voltage drop and thermal limit. The demand uncertainty representing load growth is modeled by fuzzy numbers. Feeder routing is determined with consideration of existing infrastructure, e.g. streets and canals. The method integrates planner's experience and process optimization to achieve an appropriate practical solution. The proposed method has been tested with an actual distribution system, from which the results indicate that it can provide satisfactory plans.

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References

  1. M. A. Farrag, M. M. El-Metwally, and M. S. El-Bages, 'A new model for distribution system planning,'Electrical Power and Energy Systems 21, pp. 523-531, 1999 https://doi.org/10.1016/S0142-0615(98)00059-3
  2. M. Vaziri, K. Tomsovic, and A. Bose, 'A directed graph formulation of the multistage distribution expansion problem,' IEEE Trans. PWRD 19, No. 3, pp. 1335-1341, July 2004
  3. T. Gonen and I. J. Ramirez-Rosado, 'Optimal multistage planning of power distribution systems,' IEEE Trans. PWRD 2, no. 2, pp. 512-519, April 1987
  4. V. H. Quintana, H. K. Ternraz, and K. W. Hipel, 'Two-stage power system distribution planning algorithm,' Proc. IEE, vol. 140, no. 1, pp. 17-28, January 1993
  5. J. Partanen, 'A modified dynamic programming algorithm for sizing, locating and timing of feeder reinforcements,' IEEE Trans. PWRD 5, no. 1, pp. 277-283, January 1990
  6. N. G. Boulaxis and M. P. Papadopoulos, 'Optimal feeder routing in distribution system planning using dynamic programming technique and GIS facilities,'IEEE Trans. PWRD 17, No. 1, pp. 242-247, January 2002
  7. M. Ponnavaikko, K. S. Prakasa, and S. S. Ventaka, 'Distribution system planning through a quadratic mixed integer programming approach,' IEEE Trans. PWRD 2, no. 4, pp. 1157-1163, October 1987
  8. I. J. Ramirez-Rozado and T. Gonen, 'Pseudodynamic planning for expansion of power distribution systems,' IEEE Trans. on Power Systems, vol. 6, no. 1, pp. 245-254, February 1991 https://doi.org/10.1109/59.131069
  9. M. A. El-Kady, 'Computer-aided planning of distribution substation and primary feeder,' IEEE Trans. on Power Apparatus and Systems, vol. PAS-103, no. 6, pp. 1183-1189, June 1984 https://doi.org/10.1109/TPAS.1984.318447
  10. V. Miranda, J. V. Ratino, and L. M. Proenca, 'Genetic algorithms in optimal multistage distribution network planning,' IEEE Trans. on Power Systems, vol. 9, no. 4, pp. 1927-1933, November 1994 https://doi.org/10.1109/59.331452
  11. K. K. Li, G. J. Chen, T. S. Chung, and G. Q. Tang, 'Distribution planning using a rule-based expert system approach,' IEEE Conference DPRT, 2004, pp. 814-819
  12. I. J. Ramirez-Rosado and J. L. Bernal-Aguntin, 'Genetic algorithms applied to the design of large power distribution systems,' IEEE Trans. on Power Systems, vol. 13, no. 2, pp. 696-703, May 1998 https://doi.org/10.1109/59.667402
  13. Y. Y. Hsu and J. L. Chen, 'Distribution planning using a knowledge-based expert system,' IEEE Trans. PWRD 5, no. 3, pp. 1514-1519, July 1990
  14. K. L. Lo and I. Nashid, 'Interactive expert system for optimal design of electricity distribution systems,' IEE Proc. C, vol. 143, no. 2, pp. 151-156, March 1996
  15. R. Ranjan, B. Venkatesh, and D. Das, 'A New Algorithm for Power Distribution System Planning', Electric Power Systems Research 62, pp. 55-65, 2002 https://doi.org/10.1016/S0378-7796(02)00044-5
  16. I.J. Ramirez-Rosado, J.A. Dominguez-Navarro, and J.M. Yusta-Loyo, 'A New Model for Optimal Electricity Distribution Planning based on Fuzzy Set Techniques,' IEEE, pp. 1048-1054, 1999
  17. C. T. Lin & C. S. George Lee, 'Neural fuzzy systems: A Neuro-Fuzzy Synergism to intelligent Systems,' New Jersey: Prentice-Hall P T R, 1996
  18. George, J. KLIR, & Bo Yuan, 'Fuzzy sets and fuzzy logic theory and applications,' New Jersey: Prentice-Hall, 1995
  19. J. A. Nelder & R. Mead, 'A simplex method for function minimization,' Computer Journal, 7, pp. 308-313, 1965 https://doi.org/10.1093/comjnl/7.4.308

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