Supervisors - Dr Mazher Syed and Prof. Graeme Burt, University of Strathclyde, Prof. David Flynn, Heriot-Watt University and Dr. Pablo Sola, Edinburgh Napier University
PhD Student - Taimur Zaman, University of Strathclyde
Status - In Progress
Recent technological advancements in measurements and computational systems have enforced a paradigm shift in operational architecture of power networks around the world. Self-healing, a vital operational feature of emerging power grids, necessitates real-time identification, localisation and mitigation of transient events within the power network. Soraytec’s disruptive innovation, capable of
measurement and wave form extraction in real-time, enables enhanced observability for more effective and efficient operation and planning of the power system by utilities. This project aims to develop intelligent grid automation and self-healing algorithms based on Soraytec’s smart meter technology, enabling utilities to improve efficiency, unlock flexibility and ensure resilience.