DocumentCode :
3451663
Title :
A Novel Genetic Algorithm Approach to Achieve Steady State Power Flow Solution
Author :
Kapse, Shilpa S. Shrawane ; Diagavane, M.B. ; Bawane, N.G.
Author_Institution :
Dept. of Electr. Eng., GHRCE, Nagpur, India
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
189
Lastpage :
190
Abstract :
Power flow is nothing but the flow of active and reactive power. To achieve the steady state operating condition of a power system, power flow analysis (PFA) is used. In short, it is to find the approximate values of P, Q, V and δ at various buses, lines flows, generators and loads under steady state condition. Heuristic methods are generally referred as experience based techniques for solving problem, learning and discovery. Heuristics are simple and efficient rules coded by evolutionary processes. In this paper, GA, genetic algorithm, one of such heuristic algorithms have been used to do the power flow analysis in a simple three bus system.
Keywords :
genetic algorithms; load flow; power systems; reactive power; PFA; evolutionary processes; experience based techniques; genetic algorithm approach; heuristic methods; power flow analysis; power system; reactive power flow; steady state operating condition; steady state power flow solution; three bus system; Genetic algorithms; Load flow analysis; Reactive power; Steady-state; Topology; Gauss Seidal Method; Genetic Algorithm; Power flow(PF); VAR support;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2013 6th International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4799-2560-5
Type :
conf
DOI :
10.1109/ICETET.2013.53
Filename :
6754815
Link To Document :
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