DocumentCode
3069301
Title
Optimal power flow by linear programming based optimization
Author
Mukherjee, Srijib K. ; Recio, Agustin ; Douligeris, Christos
Author_Institution
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
fYear
1992
fDate
12-15 Apr 1992
Firstpage
527
Abstract
Electric utilities in the United States utilize various linear programming techniques to achieve optimal power flow. The authors extend one such technique of linear programming based optimization for optimal power flow. Constraints for the slack bus are introduced and all branch and link flows are taken into account. This automatically puts each bus in the same flow state, thereby optimizing the entire system. Results show that a 220 kV five-bus system convergence within one iteration was achieved with a considerable reduction in CPU time. The technique has been recommended to Florida Power and Light Company´s Power System Control Division and has proved successful for a 15 bus system using real-time data
Keywords
iterative methods; linear programming; load flow; optimal control; power system computer control; 220 kV; USA; convergence; digital control; electric utilities; iteration; linear programming; load flow; optimal power flow; optimization; real-time; slack bus; Convergence; Costs; Equations; Linear programming; Load flow; Power engineering and energy; Power engineering computing; Power industry; Power system control; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '92, Proceedings., IEEE
Conference_Location
Birmingham, AL
Print_ISBN
0-7803-0494-2
Type
conf
DOI
10.1109/SECON.1992.202407
Filename
202407
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