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Power Distribution System Planning with Demand Uncertainty Consideration
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 Title & Authors
Power Distribution System Planning with Demand Uncertainty Consideration
Wattanasophon, Sirichai; Eua-arporn, Bundhit;
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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.
 Keywords
demand uncertainty;fuzzy model;heuristic rule;power distribution system planning;
 Language
English
 Cited by
1.
GIS-based cost distribution analysis of new consumer connections to an urban power grid, Geo-spatial Information Science, 2015, 18, 4, 183  crossref(new windwow)
 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 crossref(new window)

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 crossref(new window)

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 crossref(new window)

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 crossref(new window)

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 crossref(new window)

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 crossref(new window)

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 crossref(new window)