DocumentCode :
135951
Title :
International assessment of smart grid drivers and technologies: Analysis across countries and by economy and continent
Author :
Wang, W.-T Paul ; Lightner, Eric
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper summarizes development of the ISGAN (International Smart Grid Action Network) framework of assessment culminating with identification of the first biennial assessment results of smart grid motivating driver and technology priorities at both the national level and multinational level. As of 5 September 2012, 19 ISGAN Participants had completed and validated 27 assessments via the developed web-based assessment tool. A methodology devised with weighting schemes for motivating drivers and smart grid technologies has allowed clustering analyses of these assessments at the national level and multinational level. Clustering analyses for all ISGAN Participants, as well as of Participants by economies and by continent, were conducted; these multinational-level prioritized assessment results are provided herein. The national-level prioritized assessment results have been used to identify smart grid projects for data collection for the ISGAN Inventory that is intended to serve as a global resource on smart grid activities across ISGAN Participants.
Keywords :
power system economics; smart power grids; ISGAN framework; biennial assessment; clustering analyses; country continent analysis; country economy analysis; data collection; global resource; international smart grid action network framework; smart grid driver technology international assessment; smart grid motivating driver; web-based assessment tool; Australia; Europe; Reliability; Renewable energy sources; Smart grids; Standards; Information Sharing; International Collaboration; Smart Grids; Sustainable Development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939852
Filename :
6939852
Link To Document :
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