Comparative Load Flow Analysis of UNILAG Power Distribution Network using Newton Raphson and Gauss Seidel Methods
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Date
2019-06
Authors
Akinbulire, T.O.
Oluseyi, P.O.
Udoakam, G.A.
Babatunde, O.M.
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Engineering, University of Benin, Benin City, Nigeria
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.
Description
Keywords
comparative load analysis; Newton-Raphson; Gauss-Seidel; distribution network; sub-stations; active and reactive power; system losses