Open Electrical Grid Model for Regional Transmission Networks

This paper aims at addressing the challenges associated with open electrical grid models to advance load flow simulations required for the transition toward a sustainable energy system. This paper presents a Python-based open electrical grid model generator by using OpenStreetMap data as the input to increase the availability of open-source models for regional transmission networks. The method is based on the existing open electrical grid tool osmTGmod and consists of two main steps presented in detail. First of all, a new state-of-the-art OpenStreetMap filter is researched and implemented. It converts Open Street Map data to CSV data categorized by the corresponding object classes. Following this, missing data is populated by a Python Script depending on different heuristics. The software and packages are presented and one example of a regional transmission network is described to provide insight into the method.