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Abstract
The objective of this work is to examine the effect of load flow analysis type, horizon length and discount factor, as well as switch ordering on the accuracy and speed of dynamic programming-based optimal network reconfiguration studies for minimizing loss. The author employs simulation of a 118-bus power system to obtain results. These results demonstrate that strong relationships exist between the parameters of an optimal network reconfiguration study and its performance. The author discusses how these relationships may be used to predict performance of future studies as well as, in turn, help power system operators make better decisions regarding parameterization and obtain maximum benefit from simulation-based analyses with minimum effort.
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