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Resumo(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.
Descrição
Palavras-chave
Bidding strategy Bilateral contracts Emission allowances Stochastic programming Thermal self-scheduling
Contexto Educativo
Citação
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
Editora
Pergamon-Elsevier Science LTD