Scheduling electric power production at a wind farm

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)227-238
Journal / PublicationEuropean Journal of Operational Research
Volume224
Issue number1
Publication statusPublished - 1 Jan 2013

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84866734235&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(21407d10-9ef0-49d1-a6de-cd57379584c6).html

Abstract

We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm with a small world network structure to solve the model. The solution generated by the algorithm defines the operational status of wind turbines for a scheduling horizon selected by a decision maker. Different operational scenarios are constructed based on time series data of electricity price, grid demand, and wind speed. The computational results provide insights into management of a wind farm. © 2012 Elsevier B.V. All rights reserved.

Research Area(s)

  • Evolutionary computations, Particle swarm optimization, Scheduling, Small world network, Wind farm

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Publication fingerprints text

100
electric power INIS
100
wind farms INIS
100
power production INIS
100
Wind Farm Keyphrases
100
Electric Power Prod... Keyphrases
66
algorithms INIS
33
speed INIS
33
particles INIS
33
management INIS
33
data INIS
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Citation Format(s)

[ RIS ] [ BibTeX ]
Scheduling electric power production at a wind farm. / Zhang, Zijun; Kusiak, Andrew; Song, Zhe.
In: European Journal of Operational Research, Vol. 224, No. 1, 01.01.2013, p. 227-238.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review