DocumentCode :
303855
Title :
Enhanced fuzzy power flow models integrating correlation between nodal injections
Author :
Saraiva, J. Tomé ; Duarte, Fernando Oscar
Author_Institution :
INESC, Porto, Portugal
Volume :
2
fYear :
1996
fDate :
13-16 May 1996
Firstpage :
885
Abstract :
This paper reviews some concepts related to fuzzy load modeling namely dealing with correlated and uncorrelated models. After briefly describing DC and AC fuzzy power flow models, the problem of integrating information about correlations between node consumptions or injections in these models is addressed. This information leads to a correction phase performed after running the previous models. This correction phase is organized as a linear programming problem solved in a very efficient way taking advantage of the special structure of the problem. The methodology is illustrated using a case study based on the IEEE 24 bus/38 branch Test System
Keywords :
fuzzy set theory; linear programming; load (electric); load flow; power system analysis computing; AC fuzzy power flow models; DC fuzzy power flow models; IEEE 24 bus/38 branch Test System; correction phase; correlated models; enhanced fuzzy power flow models; fuzzy load modeling; linear programming; node consumptions; uncorrelated models; DC generators; Economic forecasting; Fuzzy set theory; Fuzzy systems; Load flow; Power generation; Power system modeling; Power system planning; Power system reliability; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
Type :
conf
DOI :
10.1109/MELCON.1996.551352
Filename :
551352
Link To Document :
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