Scheduling electric power production at a wind farm

Zijun Zhang, Andrew Kusiak and Zhe Song

European Journal of Operational Research, 2013, vol. 224, issue 1, 227-238

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.

Keywords: Scheduling; Evolutionary computations; Wind farm; Particle swarm optimization; Small world network (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:224:y:2013:i:1:p:227-238

DOI: 10.1016/j.ejor.2012.07.043

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