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Software Based Barriers to Integration of Renewables to the Future Distribution Grid

[+] Author Affiliations
Emma M. Stewart, Sila Kiliccote

Lawrence Berkeley National Laboratory, Berkeley, CA

Paper No. POWER2014-32307, pp. V002T09A022; 5 pages
  • ASME 2014 Power Conference
  • Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition
  • Baltimore, Maryland, USA, July 28–31, 2014
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-4609-4
  • Copyright © 2014 by ASME


The future distribution grid has complex analysis needs, which may not be met with the existing processes and tools. In addition there is a growing number of measured and grid model data sources becoming available. For these sources to be useful they must be accurate, and interpreted correctly. Data accuracy is a key barrier to the growth of the future distribution grid. A key goal for California, and the United States, is increasing the renewable penetration on the distribution grid. To increase this penetration measured and modeled representations of generation must be accurate and validated, giving distribution planners and operators confidence in their performance. This study will review the current state of these software and modeling barriers and opportunities for the future distribution grid.

Copyright © 2014 by ASME



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