| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.55 MB | Adobe PDF |
Advisor(s)
Abstract(s)
This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.
Description
Keywords
Bidding strategy Bilateral contracts Emission allowances Stochastic programming Thermal self-scheduling
Citation
LAIA, Rui; [et al.] - Self-scheduling and bidding strategies of thermal units with stochastic emission constraints. Energy Conversion and Management. ISSN. 0196-8904. Vol. 89 (2015), pp. 975-984
Publisher
Pergamon-Elsevier Science LTD