VECTORS is an acronym for "adVanced nEtworks ConTrol Of future smart gRidS", a research project funded by the Italian Ministry of Education, University and Research (MIUR). As new technologies are introduced on the power network, such as renewable resources-based generators, smart batteries, and controllable loads are seeing more widespread use, new practical challenges arise. In particular, to prevent power shortages and blackouts, it is necessary to ensure the resilience of the network to variations in power demand and naturally occurring disturbances. The project is articulated into the following goals:

• Modeling power grids for control synthesis: Derive appropriate agent-based models for the synthesis of the various control layers and the effects that malfunctioning and failures have on the grid dynamics;

• Synthesis of distributed control strategies: Design different control layers and integrate them into a unique control architecture for the power grid;

• Detection and prevention of failures and faults: Determinate the effects, on the distributed algorithms developed during the project, of failures either due to overloads of the power transmission lines or communication faults;

• Validation: Verify that the models and control strategies developed in the fulfillment of other objectives are accurate and actually work when used to run physical power grids.

The main objectives of the VERITAS project are as follows:

• analysis of the precision farming requirements of viticultural crops and design, prototyping, and implementation of control, diagnostic, and intervention systems;

• analysis of structural and functional components in the Sannita wine chain (soil, plant, fruit, and wine);

• experimental application of systems designed and developed on viticulture herbs;

• evaluation of the economic and environmental impact of the innovations and value creation.

The Nanocog project aims at solving the CHP-ED problem for a residential micro-CHP system by maximizing the integration of renewable energy sources while minimizing fossil fuel usage. To this aim, this chapter explains the novel mathematical models developed to solve the residential CHP-ED problem, which includes unit commitment, economic dispatch, and energy storage. The proposed system architecture via thermal energy storage coordination and the novel heat pump design proved as an inexpensive technological solution to the residential CHP-ED problem than investing in other solutions such as grid reinforcement and interconnections. The control algorithms are developed by the University of Sannio and rely on renewable generation and loads forecasts. Among the other objectives, they operate the system to minimize CHP usage.