An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling

The topic of smart grids has become one of the most important research arenas recently. Spurred by the urges to reduce our dependence on fossil fuels for several environmental and economic reasons, researchers have written many treatises on this topic. M. He, S. Murugesan and J. Zhang suggested in t...

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Main Author: Tuffaha, Mutaz
Format: Others
Language:English
Published: Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17370
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spelling ndltd-UPSALLA1-oai-DiVA.org-lnu-173702013-01-08T13:35:57ZAn evaluation of a new Pricing technique to integrate Wind energy using two Time scales schedulingengTuffaha, MutazLinnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM2012Pricingschedulingsmart gridsdynamic responsestochastic processes.The topic of smart grids has become one of the most important research arenas recently. Spurred by the urges to reduce our dependence on fossil fuels for several environmental and economic reasons, researchers have written many treatises on this topic. M. He, S. Murugesan and J. Zhang suggested in their article, "Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration", a new pricing and scheduling model to exploit the wind (or any other stochastic) energy to the fullest extent. I studied this model, and from my experiments, I found a defect. In this thesis, I try to evaluate this model. Firstly, I present it with detailed proofs of the main results. Secondly, I explain the experiments and simulations I did. Then, I analyze the results to show the defect I discovered. Finally, I suggest a solution for that defect, and I point out the advantages of that model. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17370application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Pricing
scheduling
smart grids
dynamic response
stochastic processes.
spellingShingle Pricing
scheduling
smart grids
dynamic response
stochastic processes.
Tuffaha, Mutaz
An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
description The topic of smart grids has become one of the most important research arenas recently. Spurred by the urges to reduce our dependence on fossil fuels for several environmental and economic reasons, researchers have written many treatises on this topic. M. He, S. Murugesan and J. Zhang suggested in their article, "Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration", a new pricing and scheduling model to exploit the wind (or any other stochastic) energy to the fullest extent. I studied this model, and from my experiments, I found a defect. In this thesis, I try to evaluate this model. Firstly, I present it with detailed proofs of the main results. Secondly, I explain the experiments and simulations I did. Then, I analyze the results to show the defect I discovered. Finally, I suggest a solution for that defect, and I point out the advantages of that model.
author Tuffaha, Mutaz
author_facet Tuffaha, Mutaz
author_sort Tuffaha, Mutaz
title An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
title_short An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
title_full An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
title_fullStr An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
title_full_unstemmed An evaluation of a new Pricing technique to integrate Wind energy using two Time scales scheduling
title_sort evaluation of a new pricing technique to integrate wind energy using two time scales scheduling
publisher Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17370
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