Iterative generation of synthetic power system networks for load flow studies

Besides the need to have generally available power system test networks with parameters that closely match those of realistic power systems, the continuously increasing sizes of practical power systems also dictates a growing requirement for larger and larger test networks.A new method is proposed for the development of artificial, but reasonably realistic, power system networks of arbitrary size and complexity, suitable for full load-flow analysis (having feasible load-flow solution). It is based on an iterative procedure to expand an initial network by adding a new bus and/or line at each iterative step, until the system of the desired size and complexity is reached. The method is implemented using a new "backwards" approach, which maintains the network determined in the previous iterative step the same everywhere, except at the bus (or buses) where the new network element is added.Five different sample networks, together with all the data necessary for full load-flow calculations have been computed to illustrate the performance of the new method. (Abstract shortened by UMI.