Abstract
In this work, combined trading of energy and emissions for coordinated wind and thermal units is considered. The objective is (a) to maximize the expected profits of the owner using coordination as risk mitigation and (b) to minimize emission. A two level mixed integer stochastic programming (SP) is used to handle various uncertainties. Simulation results show the benefits of using a combined bidding strategy for wind and thermal units along with emission reduction.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013 |
| Pages | 1023-1027 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2013 |
Publication series
| Name | International Conference on Power Engineering, Energy and Electrical Drives |
|---|---|
| ISSN (Print) | 2155-5516 |
| ISSN (Electronic) | 2155-5532 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
Keywords
- Coordination
- Emission Trading
- Wind
- energy trading
- mixed integer stochastic programming
- risk
- thermal power production
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
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