Scheduling electric power production at a wind farm

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

12 Scopus Citations
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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

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

Citation Format(s)

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, 22, 62)21_Publication in refereed journal