Advanced Applications of Modern Optimization and Artificial Intelligence Methods on Active Distribution Networks

As a result of the continuous digitalization pace of the energy sector, larger amounts of data streams are available now. From the distribution system operators (DSOs) perspective, the deployment of ICT infrastructure enables real-time monitoring and optimal management of assets, while the increasing introduction of Internet of Things (IoT)-based devices enable users to characterize and adapt their energy consumption behavior. At the same time, the increasing number of distributed energy resources (DERs) on distribution networks is demanding DSOs and users a better level of coordination, aiming at continuously guaranteeing reliable and cost-effective operations. In this context, innovative approaches based on emerging optimization methods and Artificial Intelligence (AI) that aggregate, model, forecast and operate DERs operating in active distribution networks are being introduced. In this panel, we gather academics and industry experts to discuss initiatives concerning with the application of modern optimization and AI methods in active distribution networks. Thinking in the future adoption of such optimization-AI-based approaches, technical challenges, such as convergence guarantee, data efficiency, computational efficiency, robustness, explainability, as well as new arising concerns related to trust, safety, privacy, fairness, etc., will be discussed.