DocumentCode :
2566874
Title :
Biogeography-based optimization and the solution of the power flow problem
Author :
Rarick, Rick ; Simon, Dan ; Villaseca, F.Eugenio ; Vyakaranam, Bharat
Author_Institution :
Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
1003
Lastpage :
1008
Abstract :
Biogeography-based optimization (BBO) is a novel evolutionary algorithm that is based on the mathematics of biogeography. Biogeography is the study of the geographical distribution of biological organisms. In the BBO model, problem solutions are represented as islands, and the sharing of features between solutions is represented as immigration and emigration between the islands. This paper presents an application of the BBO algorithm to the power flow problem for an IEEE 30-bus test case system. The BBO solution is compared with the solution of the same problem using a genetic algorithm (GA). The results of Monte Carlo simulations indicate that the BBO algorithm consistently performs better than the GA in determining an optimal solution to the power flow problem.
Keywords :
Monte Carlo methods; evolutionary computation; load flow; IEEE 30-bus test case system; Monte Carlo simulation; biogeography-based optimization; biological organisms; evolutionary algorithm; geographical distribution; power flow problem; Biogeography; Evolutionary computation; Genetic algorithms; Linear matrix inequalities; Load flow; Mathematical model; Nonlinear equations; Power generation; Sparse matrices; USA Councils; Biogeography-Based Optimization; Evolutionary Algorithms; Genetic Algorithms; Power Flow Problem; Power Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346046
Filename :
5346046
Link To Document :
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