BI-objective optimization of grid-connected decentralized energy systems
Author(s)
Advisor
Karsu, ÖzlemDate
2016-07Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
We present a bi-objective two stage stochastic programming model for optimal
sizing of a grid-connected hybrid renewable energy system. In this system, solar
and wind are the main electricity generation resources. National grid is assumed
to be a carbon-intense alternative to renewables and used as a backup source
to ensure reliability. Storage device is included to examine its role in reducing
the carbon emission and the intermittency of renewable sources. It is assumed
that decision maker is sensitive to both cost and carbon emission, therefore two
objectives are considered: total cost and carbon emission caused by electricity
purchased from the utility grid. A simulation optimization algorithm has been
developed for the problem.
Keywords
Multi-objective OptimizationSimulation
Renewable Energy Systems
CO2 emission
Stochastic Mixed Integer Programming