About: Distribution of wind power plants to reduce variability of renewable generation     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • As the penetration of wind power into generation mix increases, the issue of its integration into the power grid becomes more and more important. The variability of wind power generation is a major concern as wind is highly intermittent. This may result in significant overproduction at times, followed by complete unavailability of wind power at other periods. This intermittency must be compensated for by other, conventional generation sources such as coal and gas fired power plants. This reduces the overall efficiency of the system due to the need of running some generators as spinning reserves, and lowers the overall contribution of renewable generation to the mitigation of greenhouse gas emissions. This paper examines the possibility to optimize the spatial distribution of wind power plants over an extended area to decrease the overall variability of wind power generation in a system. In particular, it considers the integration of spatially distributed wind power generation in the wind-rich province of Alberta, Canada. The distribution of power plants is optimized using simulated annealing and quadratic programming. The results clearly show that the variability of wind power generation can be reduced if the wind resources are integrated over a wide geographic area.
  • As the penetration of wind power into generation mix increases, the issue of its integration into the power grid becomes more and more important. The variability of wind power generation is a major concern as wind is highly intermittent. This may result in significant overproduction at times, followed by complete unavailability of wind power at other periods. This intermittency must be compensated for by other, conventional generation sources such as coal and gas fired power plants. This reduces the overall efficiency of the system due to the need of running some generators as spinning reserves, and lowers the overall contribution of renewable generation to the mitigation of greenhouse gas emissions. This paper examines the possibility to optimize the spatial distribution of wind power plants over an extended area to decrease the overall variability of wind power generation in a system. In particular, it considers the integration of spatially distributed wind power generation in the wind-rich province of Alberta, Canada. The distribution of power plants is optimized using simulated annealing and quadratic programming. The results clearly show that the variability of wind power generation can be reduced if the wind resources are integrated over a wide geographic area. (en)
Title
  • Distribution of wind power plants to reduce variability of renewable generation
  • Distribution of wind power plants to reduce variability of renewable generation (en)
skos:prefLabel
  • Distribution of wind power plants to reduce variability of renewable generation
  • Distribution of wind power plants to reduce variability of renewable generation (en)
skos:notation
  • RIV/00216275:25530/14:39898700!RIV15-MSM-25530___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(EE2.3.30.0058)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 11865
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25530/14:39898700
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Spatial distribution; Simulated annealing; Quadratic programming; Power plants; Greenhouse gases; Electrical engineering; Electric power generation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [75B1CCE8C558]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2014 15th International Scientific Conference on Electric Power Engineering, EPE 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Heckenbergerová, Jana
  • Musilek, Petr
  • Debnath, Dhrupad
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE (Institute of Electrical and Electronics Engineers)
https://schema.org/isbn
  • 978-1-4799-3806-3
http://localhost/t...ganizacniJednotka
  • 25530
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 118 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software