Konferensartikel
Micro-grid Design and Cost Optimization using Modelica
Natesa MacRae
National Research Council Canada, Canada
John Batteh
Modelon Inc., USA
Stéphane Velut
Modelon AB, Sweden
William Skrivan
National Research Council Canada, Canada
Imran Khan
National Research Council Canada, Canada
Darren Jang
National Research Council Canada, Canada
Ladda ner artikelhttps://doi.org/10.3384/ecp2016918Ingår i: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020
Linköping Electronic Conference Proceedings 169:2, s. 18-27
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Publicerad: 2020-11-03
ISBN: 978-91-7929-900-2
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Abstract
This paper describes the modeling of the National
Research Council of Canada (NRC) Micro-Grid Testing
and Training Facility, which will be used to advance
energy generation and storage technologies and
optimize integrated system operations for a variety of
micro-grid applications. First, integrated system models
were assembled using the Microgrid Modelica library,
developed by Modelon. Next, three use cases were
defined based on a scaled down version of the Whale
Cove, Nunavut micro-grid operating in: ‘island mode’
without renewables (present mode), island mode with
renewables, and grid-connected mode. Various
simulations, as well as design and economic
optimizations were then performed. Through these
analyses, it was shown that each parameter domain
could be successfully assessed using this modeling
framework, demonstrating the flexibility of both the
modeling platform and the potential of the physical test
facility to support in-depth analysis for different microgrid
configurations, technologies, and applications.
Nyckelord
Micro-grid, remote area, distributed energy resources, renewables, model, optimization
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