Abstract

Building synthetic power system test cases for testing, demonstrating, and cross-validating new innovations in smart grid applications is of great importance. In this paper, we propose a new two-phase methodology to enhance our random-topology synthetic grid modeling, called RT- nestedSmallWorld , by introducing voltage-level dependent parameters. Unlike the original per unit format of electrical topology in the model, the voltage-level dependent parameters will distinguish between transmission lines and transformers as we found different characteristics for them in terms of per unit and actual impedances. This could also help integrate relative geographical information to our synthetic grid model in the form of approximate line length and dependence on nominal voltage level. The interdependence of parameters and variables on the nominal voltage level is observed from actual power system data in North America. Next, the interdependence is mathematically formulated and verified using grid physical constraints derived from Kirchhoff’s and Ohm’s laws to serve in the building of random-topology transmission network for synthetic grids.

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