Development of an Optimal Reconfiguration Algorithm for Radial Distribution Electrical Power Networks
(A CASE STUDY OF Zaria Distribution Network)
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Author
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Department of
Engineering
ABSTRACT
This worked aimed at developing an optimal reconfiguration algorithm for a radial distribution network using fast and elitist non-dominated sorting genetic algorithm (NSGA II), considering distributed generation. The work models the reconfiguration using a pragmatic multi-objective approach considering active power loss and total voltage deviation, so as to determine the optimum locations of the tie and sectionalizing switches within the distribution network. The model was validated using standard IEEE 33-Bus network and extended to a subsection of Zaria distribution network. The active power loss and total voltage deviation was estimated for Gaskiya, Railway, Sabo and Canteen distribution network as 55.32kW, 0.22V, 17.22kW, 0.2340V, 120.08kW, 0.9949V and 508.0kW, 4.7482V respectively, prior to reconfiguration. With distributed generation placed at different location based on the computed voltage stability index of the nodes. The active power loss for Gaskiya, Railway, Sabo and Canteen distribution network was recorded to be 26.19%, 19.22%, 10.23% and 8.01% reduction respectively as compared to the initial configuration with distributed generation placed at strategic locations. The optimal location of the tie and sectionalizing switches for Gaskiya, Railway, Sabo and Canteen distribution network was found to be 12 14, 14 16 18, 25 20 11 and 23 16 43, respectively after reconfiguration. A reduction in active power loss and reductions in total voltage deviation for Gaskiya, Railway, Sabo and Canteen distribution network was found to be 37.64%, 28.94%, 18.2%, 8.12%, 39.21%,37.8% and 23.42%, 10.72% respectively as compared to the active power loss and total voltage deviation of the initial configuration.
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