Offering model for a virtual power plant based on stochastic programming
► A two-stage stochastic offering model for a virtual power plant is presented. ► The virtual power plant consists of an intermittent source, a dispatchable source and a storage unit. ► The virtual power plant trades in the day-ahead and balancing markets. ► Characteristic scenarios are thoroughly a...
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| Vydáno v: | Applied energy Ročník 105; s. 282 - 292 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Kidlington
Elsevier Ltd
01.05.2013
Elsevier |
| Témata: | |
| ISSN: | 0306-2619, 1872-9118 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | ► A two-stage stochastic offering model for a virtual power plant is presented. ► The virtual power plant consists of an intermittent source, a dispatchable source and a storage unit. ► The virtual power plant trades in the day-ahead and balancing markets. ► Characteristic scenarios are thoroughly analyzed and relevant conclusions are drawn.
A virtual power plant aggregates various local production/consumption units that act in the market as a single entity. This paper considers a virtual power plant consisting of an intermittent source, a storage facility, and a dispatchable power plant. The virtual power plant sells and purchases electricity in both the day-ahead and the balancing markets seeking to maximize its expected profit. Such model is mathematically rigorous, yet computationally efficient.
The offering problem is cast as a two-stage stochastic mixed-integer linear programming model which maximizes the virtual power plant expected profit. The uncertain parameters, including the power output of the intermittent source and the market prices, are modeled via scenarios based upon historical data. The proposed model is applied to a realistic case study and conclusions are drawn. |
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| Bibliografie: | http://dx.doi.org/10.1016/j.apenergy.2012.12.077 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0306-2619 1872-9118 |
| DOI: | 10.1016/j.apenergy.2012.12.077 |