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Project information

Active distribution networks with full integration of demand and distributed energy resources

P. Linares P. García-González J.A. Rodríguez-Mondéjar C. Batlle R. Dias S. Alexandres R. Santodomingo M. Rivier E.F. Sánchez-Úbeda R. Cossent A. Conchado O. Lago J. Juárez Montojo

June 2008 - May 2013

Funding entity Comisión Europea

Participated by ENEL , Vlaamse Instelling voor Technologisch Onderzoek N.V., Universita\\\' degli Studi di Siena, University of Manchester, ZIV P MAS C SL, Current Technologies International GMBH, Electrolux, Kema Nederland BV, Philips Electronics Nederland B.V., Ericsson España S.A., ABB Schweiz AG, Vattenfall Research and Development AB, UK Power Networks LTD, Fundacion Tecnalia Research & Innovation, Alcatel, Iberdrola, Electricite de France S.A., Universita degli Studi di Cassino e del Lazio Meridionale, Consentec GMBH, Teknologian Tutkimuskeskus VTT, Responsiveload Limited


ADDRESS will research, develop and deploy technologies and processes to increase usage of distributed Generation and Renewable Energy Resources thereby engaging in a new relationship between customers, generators and network operators. ADDRESS aims to develop new innovative architectures for Active Distribution Networks (ADN) able to balance in real time power generation and demand allowing network operators, consumers, retailers and stakeholders to benefit from the increased flexibility of the entire system. Innovative use of communications, automation and household technologies will be combined with new trading mechanisms and algorithms providing ADN with low cost and reliable solutions. Customers will be encouraged into active participation enabling them to change their consumption habits, adopting a smarter use of energy and saving money. A cost/benefit analysis of different solutions will be developed: the most promising will be tested in three sites with different geographic, demographic and generation characteristics.


    Research topics:
  • Smart grids
  • Automation, Communications and Industrial Informatics
  • Forecasting and data mining

ADDRESS