Abstract
Premiums for renewable energy are being reduced as a consequence of the world economic crisis. This paper models the trading of the energy generated by a photovoltaic generator. The problem is solved through stochastic mixed integer linear programming where the objective function aims at maximizing the profit of selling the photovoltaic production in the day-ahead market. The model is tested without any premium and market and imbalance market prices are forecasted using AR, MA and ARIMA models while photovoltaic production is simulated using Montecarlo method. The model is tested for a case study where the behaviour of the offer, imbalances, incomes and costs is analyzed.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Power & Energy Society General Meeting |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-4673-8040-9 |
| DOIs | |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 - Sheraton Denver Downtown Hotel, Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015 http://www.pes-gm.org/2015/ |
Conference
| Conference | 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 |
|---|---|
| Abbreviated title | PESGM 2015 |
| Country/Territory | United States |
| City | Denver |
| Period | 26/07/15 → 30/07/15 |
| Other | "Powering Up the Next Generation" |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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