Title :
SGAM-based methodology to analyse Smart Grid solutions in DISCERN European research project
Author :
Santodomingo, Rafael ; Uslar, Mathias ; Goring, A. ; Gottschalk, M. ; Nordstrom, L. ; Saleem, Asma ; Chenine, M.
Author_Institution :
R&D Div. Energy, OFFIS - Inst. for Inf. Technol., Oldenburg, Germany
Abstract :
The design of future energy automation and management systems requires Distribution System Operators (DSOs) to analyse and compare different technical solutions for determining which of these could be best implemented in their networks. This paper presents a methodology that helps DSOs carry out such a complex task. The methodology is based on the Smart Grid Architecture Model (SGAM) framework. It was implemented using a web-based application that facilitates editing and automatic analysis of SGAM architectures. The methodology was successfully evaluated in the context of DISCERN European research project.
Keywords :
distribution networks; energy management systems; power system analysis computing; smart power grids; DISCERN European research project; DSO; SGAM; distribution system operators; energy automation and management systems; smart grid architecture model; web based application; Business; Computer architecture; Data models; IEC standards; Smart grids; XML; Distribution System Operator; SGAM; Smart Grid architectures; Use Case;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850510