How will our electricity distribution networks cope with a low-carbon future? And how can the transition be made? Financed by an EU contribution oy 6,5 M€, the HiPerDNO project is tackling these questions by using state-of-the-art information, communication, and computing technologies. A lower carbon future means that millions of homes and businesses will have smart meters; that there will be increasing use of small- and medium- sized solar, wind, and combined heat and power systems embedded in the electricity network, and in the longer term there may be millions of electric vehicles needing to charge. To help monitor and control these so-called 'active electricity networks', new sensors and instrumentation will be added. AII of this equipment will generate vast amounts of data requiring near-to-real-time analysis. The HiperDno project will: • Build a cost-effective and scalable high performance computing platform. • Develop a scalable high-speed messaging system to transmit the huge quantities of data. • Research data mining and feature extraction methods to analyze a variety of power systems data. • Create novel scalable algorithms to estimate the state of the network. • Conduct off-line field trials in Spain, Slovenia, and the UK. The aim of this research project is to develop a new generation of distribution network management systems that exploit novel near-to-real-time high performance computing solutions with inherent security and intelligent communications for smart distribution network operation and management. Engaging with the User Communities HiPerDNO is a research and development project offering significant knowledge exchange opportunities with Distribution Network Operators, HPC and ICT manufacturers, National regulators, and the academic research community. We will achieve this through seminars, workshops, conferences, and exhibitions. The training of young researchers in this multidisciplinary project is important, and they will be ready to join the industry to help drive change as the lower carbon future approaches. Partners in HiPerDNO Project WEB of the project: http://www.hiperdno.eu/
