DocumentCode :
1624260
Title :
Uncertainty in power system modeling and computation
Author :
Alvarado, Fernando ; Hu, Yi ; Adapa, Rambabu
Author_Institution :
Wisconsin Univ., Madison, WI, USA
fYear :
1992
Firstpage :
754
Abstract :
The authors describe three ways of capturing uncertainty in power system computation: probabilistic methods; fuzzy arithmetic techniques; and interval mathematics. The advantages and disadvantages of each, the manner in which results from each technique must be interpreted, and the limitations of each methods are discussed. The application of these methods to the power flow problem and extensions to optimum power flows and security calculations are described. The emphasis is on a comparison of features of each approach in the context of power systems applications
Keywords :
fuzzy set theory; load flow; optimisation; power systems; probability; applications; fuzzy arithmetic; interval mathematics; load flow; optimisation; power flow; power system modeling; probabilistic methods; security calculations; uncertainty; Arithmetic; Costs; Fuzzy sets; Fuzzy systems; Load flow; Mathematical model; Power system modeling; Power system security; Senior members; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
Type :
conf
DOI :
10.1109/ICSMC.1992.271535
Filename :
271535
Link To Document :
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