Abstract
Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018 |
| Publisher | IEEE |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-5386-2910-9 |
| DOIs | |
| Publication status | Published - 2018 |
| MoE publication type | A4 Conference publication |
| Event | International Universities Power Engineering Conference - Glasgow, United Kingdom Duration: 4 Sept 2018 → 7 Sept 2018 Conference number: 53 |
Conference
| Conference | International Universities Power Engineering Conference |
|---|---|
| Abbreviated title | UPEC |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 04/09/2018 → 07/09/2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- stochastic programming
- tidal power
- large consumers
- CVaR
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