The research group of the Benevento Section is engaged in the definition of innovative techniques and methodologies for the analysis and integration, harmonization, and control of various phases of the process of generation, transmission, distribution, and utilization of electrical energy.
In particular, the main research activities concern the prediction of wind plant generation, robust optimization of electrical networks in the presence of uncertainty, the application of advanced methodologies for thermal rating, the development of decentralized and cooperative architectures for the control of smart grids, as well as the development of advanced information systems for synchronized monitoring and control of these grids
Prediction of Wind Power Plant Generation
Activities in this area consist of developing grey-box prediction architectures that integrate computational intelligence techniques with NWP models. Further research aims to experimentally characterize various white-box, black-box, and grey-box approaches in the field of short- and long-term predictions of energy produced by variable renewable power generators.
Robust Optimization in the Presence of Uncertainties
In this field, research activities are focused on the development of advanced methodologies based on Interval Computing techniques, such as interval mathematics and affine arithmetic, which enable effective processing of uncertain variables in network studies such as power flow calculation, resolution of optimal power flow problems, and robust control in the presence of high penetration of renewable energy sources.
Paradigms for Dynamic Calculation of the Thermal Rating of Network Components
The Benevento Section, also in collaboration with the national transmission operator (Terna), is involved in the development and application of advanced information processing paradigms for the optimal management of transmission electrical networks in WAMPACS domains, which allow the reliable implementation of asset management policies aimed at increasing their utilization rate.
Holistic and Cooperative Decentralized Architectures for Controlling Smart Grids
Another part of the research activities is focused on the development of distributed frameworks with proactive agents that integrate fault diagnosis techniques along with autonomous behavior in identifying effective recovery strategies and solutions that can increase network resilience.
Advanced Information Systems for Synchronized Monitoring and Control of Smart Grids
In this context, the group is engaged in research on effective countermeasures to increase the resilience of synchronized SGs, whose satellite-based timing signals can be extremely vulnerable to radio frequency interference (RFI).
