/  02/01/2010  -  01/31/2012

HiPerDNO

High Performance Computing Technologies for Smart Distribution Network Operation

Partner:


Brunel University, EDF Energy Networks, EDF R&D, Elektro Gorenjska , GTD, IBM Israel, Indra, Korona, Union Fenosa, University of Oxford
Funding:
EU
Principal: EU
Duration: 1.2.2010 - 31.1.2013
Project Staff:

Prof. Dr. Martin Braun (project manager), Rodrigo Estrella Navarro, Cong Shen, Wei Yan, Haonan Wang, Basem Idlbi

 

Future electricity distribution networks with mass deployment of network equipment sensors and instrumentation, millions of smart meters, small-scale embedded generation, and responsive load will generate vast amounts of data requiring near to real-time analysis. So-called cloud and grid computing will enable scalable data mining, feature extraction, and near to real-time state estimation.

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. Cost effective scalable High Performance Computing (HPC) solutions will be developed and initially demonstrated for realistic distribution network data traffic and management scenarios via off-line field trials involving several distribution network owners and operators.

The project is coordinated by the Brunel University in the UK. Fraunhofer IEE (formerly Fraunhofer IWES) contributes with the analysis of new DMS (Distribution Management System) functionalities (such as active voltage control, bottom-up network restoration and active congestion management) using control capabilities of distributed generators and loads. The analysis includes software simulations, laboratory-based network emulations and cost-benefit analyses.