Scheduling electric power production at a wind farm
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 227-238 |
| Journal / Publication | European Journal of Operational Research |
| Volume | 224 |
| Issue number | 1 |
| Publication status | Published - 1 Jan 2013 |
Link(s)
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.
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 › peer-review
