Network-Agnostic Modelling and Grid Support from Active Distribution Networks with High PV Penetration

This thesis studies how electricity distribution networks can better handle the rapid growth of distributed photovoltaics and other local energy resources. As these networks become more active and complex, traditional grid models struggle to operate in real time and often lack complete information. This research develops simpler, data-driven methods that use real-time measurements to understand how local power changes affect grid voltages. It also identifies safe operating limits and control strategies to quantify and enhance the grid support potential of active distribution networks, helping them operate reliably while supporting higher levels of clean energy integration.