Predictions in Resilient Hybrid AC/DC Grids Leveraged by an Interoperable and Secure ICT Platform

Autor: Marzia Mammina, Alessandro Rossi, Diego Arnone, Gaetano Zizzo, Salar Moradi, Paul Smith
Přispěvatelé: Mammina M., Rossi A., Arnone D., Zizzo G., Moradi S., Smith P.
Rok vydání: 2022
Předmět:
Zdroj: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Popis: Power systems are undergoing a significant change and the main elements to address the new challenges is the new key-role played by the distribution grid and its transformation into a smart grid. While the distribution grid has traditionally operated with alternating current (AC), nowadays most devices operate with DC internally, and most distributed renewable resources generate power in DC. Furthermore, storage components, such as batteries and supercapacitors, have a DC character. DC seems to be the one of the most promising candidates to avoid stranded investments and to guarantee incredible saving for the community in Europe, making the transition to a fully decarbonised energy system an affordable reality. Anyway, hybrid AC/DC grids technologies make the control of these networks considerably complicated due to advent of the new power electronic devices with some critical controllable parameters. The protections of these parameters operate in a much short time in emergency states, leading to increase in cascade failures probability. In this framework, the HYPERRIDE project aims to enable a unique revolution in the electrical grid infrastructure creating the conditions to really unlock a wide application of DC technology in the distribution grid. Furthermore, HYPERRIDE provide a technology independent specification of a FIWARE-based interoperable and secure ICT platform. In this paper, the layered architecture of the platform will be described and a potential usage application of it for the predictions in resilient hybrid AC/DC grids will be presented.
Databáze: OpenAIRE