Intelligent Cloud-Based Monitoring and Control Digital Twin for Photovoltaic Power Plants

A main challenge in the scope of integrating higher shares of photovoltaic (PV) systems is to ensure optimal operations. This can be achieved through next-generation monitoring with automatic data-driven functionalities. This work aims to address this fundamental challenge by presenting the stage of implementation of an advanced cloud-based monitoring platform and a control digital twin for PV power plants (MW scale). The platform is fully equipped with a multitude of artificial intelligent (AI) algorithms for health-state diagnostics and analytics. The performance of the digital twin to act as a health-state monitor was validated against field and synthetic data from PV systems at different locations and demonstrated high accuracies for PV performance modelling and fault diagnosis.