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Load Flow Computation via Artificial Bee Colony Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 3
Year of Publication: 2017
Authors:
Husham M. Nayyef, K. Al-Anbarr
10.5120/ijca2017913004

Husham M Nayyef and K Al-Anbarr. Load Flow Computation via Artificial Bee Colony Algorithm. International Journal of Computer Applications 160(3):18-24, February 2017. BibTeX

@article{10.5120/ijca2017913004,
	author = {Husham M. Nayyef and K. Al-Anbarr},
	title = {Load Flow Computation via Artificial Bee Colony Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {3},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {18-24},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume160/number3/27053-2017913004},
	doi = {10.5120/ijca2017913004},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

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Keywords

Load Flow Studies, Newton-Raphson Method, Artificial Bee Colony Algorithm, highly loaded system, Ill-conditioned system.