A Custom Developed Flexible Tool for Real-Time Distribution Grid Visualization

Integration of new technologies like renewable energy sources and electric vehicles into the traditional electricity distribution networks can significantly degrade the power quality and increase the fault levels. These consequences have increased the necessity of real-time monitoring and visualization of the distribution grids. The abundance of data emerging from the increasing deployment of smart meters can be effectively utilised in creating such monitoring systems. This paper presents a field implementation of a near real-time distribution system visualization platform developed using the open-source libraries of Python. A model of the distribution system of Kathmandu University (KU) is created using PyPSA, a Python library, and simulated using the data collected from the smart meters installed at five different buildings of KU. The status of the buses and lines, obtained after performing the power flow calculations, is displayed in an interactive geographical map. This tool helps enhance situational awareness and assists distribution utilities in better decision-making.