Description
Modernisation of the electrical networks (from supergrids to microgrids) with the interaction with other energy systems, communications and markets, involves multiple aspects, from technologies to control systems, data management and advanced computational procedures. The impact of the distributed energy resources (distributed generation, distributed storage and demand side management) on the grid requires an integrated view of the role of grid operators, prosumers and aggregators, considering technical, economic, environmental, social and regulatory aspects. Extended modeling of cyber-physical energy and communication systems is studied with model-based and data-driven approaches. The computational tools are evolving to deal with challenging issues of system complexity, real-time data acquisition, large-scale multi-objective optimization and multi-attribute decision-making considering risks, with the treatment of data uncertainty and the identification of stability and flexibility margins for system operation. Advanced algorithms based on mathematical programming, statistics, machine learning and computational intelligence are applied to solve planning, operational and control problems.