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
Link To Document :
بازگشت