Project 8 – RAISE Spoke 3

AI-powered Management Systems for Resilient Networks with Coordination and Integration of Distributed Energy Resources

The liberalization of the electricity market and subsidy policies for renewable Distributed Energy Resources (DER) are driving increased national energy independence. Nevertheless, proper technical management of active electrical networks remains essential, addressing challenges such as the integration of renewable sources and storage systems, the management of energy communities, network resilience, and quality of service—while involving multiple operators, end users, and stakeholders.
The project aims to deliver a comprehensive set of complementary AI-powered tools to support the optimized management of resilient electric and energy networks. These tools will ensure the effective integration and coordination of Distributed Energy Resources (DER) and other assets (such as storage systems and electric vehicles) within different yet synergistic paradigms, ranging from smart grids to Virtual Power Plants and Energy Communities.
Project 8, within the research context described above, has led to the development of five products.

Product 8.1 Distributed Energy Management System: Tools for electrical distribution networks

The main aim of the project was the development of a Distributed Management System (DMS) for electrical distribution networks, designed to be integrated into existing SCADA (Supervisory Control and Data Acquisition) systems. The electric network consisted of MV and LV distribution systems, renewable generation, smart meters, and storage systems.

Product 8.2 Tools for optimal planning and management for Smart Cities and Energy Communities

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Product 8.3 A tool for the optimization and control of coupled networks for the integration of the electrical grid, polygeneration and electric vehicles

The tool developed is an energy management system for general polygeneration system, like sustainable districts, to provide the optimal scheduling of production plants, storage systems, electric vehicles and other components in order to minimize costs. The tool include different electrical models to represent a general low voltage grid, coupled with thermal models for the heating and cooling systems, due to the presence of cogeneration microturbines and heat pumps.

Product 8.4 AI-based solution for performance optimization of lithium storage systems in Zero Energy Buildings

The objective of this project is the development of solutions for the optimal management of energy storage systems using predictive and prescriptive analytics techniques. This work was coordinated by the CNR (IMATI and ITC) and the University of Genoa (DITEN Department), with the participation of the engineering and consultancy company IESolutions as a project partner.

Product 8.5 Design and testing of solutions for quality of services and protection from cyberattacks in industrial-type networks with Machine Learning based approaches

Industrial networks are the technological backbone of many critical infrastructures, as they include all the functional components that enable proper monitoring and control of facilities and assets, such as power/energy systems, particularly those that use renewable energy sources (RES), which are becoming increasingly widespread thanks to their sustainability and energy independence benefits.