Fuzzy vs. Probabilistic Techniques to Address Uncertainty for Radial Distribution Load Flow Simulation

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References

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doi:10.1109/PESS.2001.970195

[2] C.-W. Liu, C.-S. Chang and M.-C. Su, “Neuro-Fuzzy Networks for Voltage Security Monitoring Based on Syncronized Phasor Measurements,” IEEE Transactions on Power Systems, Vol. 13, No. 2, 1998, pp. 326-332.
doi:10.1109/59.667346

[3] I. J. Ramirez-Rosad and J. A. Dominguez-Navarro, “Possibilistic Model Based on Fuzzy Sets for the Multiobjective Optimal Planning of Electric Power Distribution Networks,” IEEE Transactions on Power Systems, Vol. 19, No. 4, 2004, pp. 1801-1810.
doi:10.1109/TPWRS.2004.835678

[4] V. Kumar and M. Schuhmacher, “Fuzzy uncertainty analysis in system modeling,” European Symposium on Computer Aided Chemical Engineering, Vol. 20, 2005, pp. 391-396.
doi:10.1016/S1570-7946(05)80187-7

[5] A. J. Abebe, V. Guinot and D. P. Solomatine, “Fuzzy Alpha-Cut vs. Monte Carlo Techniques in Assessing Uncertainity in Model Parameters,” Proceedings of the 4th International Conference on Hydro Informatics, Iowa City, 23-27 July 2000, pp. 1-8.

[6] M. S. Thomas, R. Ranjan and R. Raina, “Fuzzy Modeled Load Flow Solution for Unbalanced Radialpower Distribution System,” Proceedings of the IASTED International Conference, Crete, 22-24 June 2011, pp. 153-159.
doi:0.2316/P.2011.714-003

[7] D. Thukram, H. M W.Banda and J. Jerome, “A Robust Three Phase Power Flow Algorithm for Radial Distribution Systems,” Journal of Electrical Power Systems Research, Vol. 50, No. 3, 1999, pp. 227-236.
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