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Conference papers
Power Flow Analysis under Uncertainty using Symmetric Fuzzy Arithmetic
Abstract : This paper present a novel approach using symmetric fuzzy numbers to deal with uncertainty in power system analysis. Special attention is put on reducing overestimation due to conservatism inherent in fuzzy arithmetic. The midpoint-radius interval representation and a linear programming optimization problem are used in order to enhance efficiency and accuracy, respectively. The proposed method is tested over the IEEE 14-bus test system and compared with other techniques available in the literature. The case study that the proposed method yields accurate results at a reduced computational cost.
Cited literature [18 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01206373
Contributor : David Defour <>
Submitted on : Friday, December 20, 2019 - 1:01:34 PM
Last modification on : Friday, December 20, 2019 - 2:36:29 PM
Long-term archiving on: : Saturday, March 21, 2020 - 5:21:31 PM
Contributor : David Defour <>
Submitted on : Friday, December 20, 2019 - 1:01:34 PM
Last modification on : Friday, December 20, 2019 - 2:36:29 PM
Long-term archiving on: : Saturday, March 21, 2020 - 5:21:31 PM
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washington.pdf
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