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Comparative Load Flow Analysis of UNILAG Power Distribution Network using Newton Raphson and Gauss Seidel Methods

Authors: Akinbulire TO, Oluseyi PO, Udoakam GA, Babatunde OM

ABSTRACT

The evaluation of power flow in the distribution network has many techniques but there has been a very much interest in the traditionally known methods. These methods have enjoyed very wide acceptability and applicability. However, a comparative study of these techniques for the investigation of the load flow analysis for any of the Nigeria’s distribution systems is not adequately and proficiently documented. Thus, this inspired the adaptation of these techniques for the solution of a structured distribution network in the University of Lagos (UNILAG) Campus. The opportunity presented by this research is the deployment of these methods for the analysis and testing of a reallife power distribution network. The results obtained were validated with the IEEE-9 bus and IEEE-30 bus systems. The results obtained for the Campus distribution network were not only highly revealing but it also provided comparatively information (in respect of GS versus NR) as follows: number of iterations (i.e. 3 versus 177) , convergence time (i.e. 0.2457 versus 0.3276), power mismatch (0.017 MVAr versus 0.00 MVAr), system losses (i.e. 0.854 MW versus 0.855 MW), iteration tolerance (0.00001 versus 0.00) From this, the compared results indicated that the NR method converges faster with a least number of iterations irrespective of the number of the system buses while in the GS method, the number of iterations increases proportionally as the number of buses increases. Thus, it is evidently established that the NR method is very adequate for the analysis of large distribution networks.


Affiliations: Department of Electrical/Electronics Engineering, University of Lagos, Lagos, Nigeria.
Keywords: Comparative Load Analysis, Newton-Raphson, Gauss-Seidel, Distribution Network, Sub-Stations, Active And Reactive Power, System L
Published date: 2019/06/30

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ISSN: 2635-3342 (Print)

ISSN: 2635-3350 (Online)

DOI: In progress

ISI Impact Factor: In progress

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