DocumentCode :
2964823
Title :
A binary programming model for reliability optimization considering fuse-blow and fuse-save schemes
Author :
Tio, A.E.D.C. ; Cruz, Ivan Benedict Nilo C. ; Malquisto, B.M. ; del Mundo, R.D.
Author_Institution :
Power Syst. Simulation Lab., Univ. of the Philippines-Diliman, Quezon City, Philippines
fYear :
2012
fDate :
19-22 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Application of fuse-blow and fuse-save schemes in distribution protection design entails a trade-off between SAIFI and MAIFI. In this paper, we present new binary programming models for SAIFI and MAIFI as a function of the location of reclosers and fuses in a radial distribution system. In these models, we defined the fault-clearing schemes at the fuse level rather than at the recloser level. We used a weighted sum of SAIFI and MAIFI as the objective function. We linearized the models, allowing us to set threshold values on SAIFI and MAIFI as optimization constraints. This formulation will be useful in performance-based regulation. Our definition of the fault-clearing scheme introduced new feasible solutions and depending on the weights and constraints, the new solution space may contain the new optimal solution.
Keywords :
electric fuses; optimisation; power distribution protection; power distribution reliability; MAIFI; SAIFI; binary programming model; distribution protection design; fault clearing scheme; fuse blow scheme; fuse-save scheme; objective function; radial distribution system; recloser level; reclosers; reliability optimization; Circuit faults; Fuses; Indexes; Optimization; Programming; Reliability; Substations; Fuse-blow; binary programming; distribution protection design; distribution reliability optimization; fuse-save;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2012 - 2012 IEEE Region 10 Conference
Conference_Location :
Cebu
ISSN :
2159-3442
Print_ISBN :
978-1-4673-4823-2
Electronic_ISBN :
2159-3442
Type :
conf
DOI :
10.1109/TENCON.2012.6412247
Filename :
6412247
Link To Document :
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