The rapid deployment of solar photovoltaic (PV) systems in distribution networks, while indicative of the desire to move away from fossil fuels, has created new challenges due to the bi-directional power flow and power fluctuations of PV.
This research develops and uses ML techniques to automatically, extract meaningful information from existing data and transform it into domain specific knowledge. Outcomes from this research can improve power system asset condition assessment and maintenance.
This research, led by Prof. Tapan Saha, relates to the cyber security of target cyber-physical system (CPS) – WAMS (Power system wide-area monitoring system) in electric power grids.
