International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 160 - Issue 3 |
Published: Feb 2017 |
Authors: Husham M. Nayyef, K. Al-Anbarr |
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Husham M. Nayyef, K. Al-Anbarr . Load Flow Computation via Artificial Bee Colony Algorithm. International Journal of Computer Applications. 160, 3 (Feb 2017), 18-24. DOI=10.5120/ijca2017913004
@article{ 10.5120/ijca2017913004, author = { Husham M. Nayyef,K. Al-Anbarr }, title = { Load Flow Computation via Artificial Bee Colony Algorithm }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 160 }, number = { 3 }, pages = { 18-24 }, doi = { 10.5120/ijca2017913004 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Husham M. Nayyef %A K. Al-Anbarr %T Load Flow Computation via Artificial Bee Colony Algorithm%T %J International Journal of Computer Applications %V 160 %N 3 %P 18-24 %R 10.5120/ijca2017913004 %I Foundation of Computer Science (FCS), NY, USA
This paper proposes the application of artificial bee colony ABC algorithm to the load flow computation in power systems. The proposed algorithm is based on a metaheuristic searching technique and it's used to avoid the ill-conditioning problem of Jacobain matrix. The load flow problem is addressed as an optimization problem. ABC algorithm is considered as a new computational model for the system power flow obtainment, where this model provides a strong convergence. The results obtained reveal the importance of the proposed algorithm in finding a load flow solution of a highly stressed power system and ill- conditioned system as compared with traditional methods such as the Newton-Raphson method, where the Newton-Raphson method diverges due to problems of the Jacobian matrix in these situations. The proposed algorithm is applied for 6-bus and 14-bus systems.