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Title: Coordinated Scheduling of Wind-Thermal Gencos in Day-Ahead Markets
Authors: Laia, Rui
Pousinho, Hugo
Melício, Rui
Mendes, Victor
Keywords: Mixed-integer linear programming
stochastic optimization
wind-thermal coordination
offering strategies
Issue Date: 5-Feb-2016
Abstract: This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modeled by variable costs, start-up costs and technical operating constraints, such as: ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, aiming to maximize the expected profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.
URI: 1st Energy Economics Iberian Conference, EEIC | CIEE 2016, February 4-5, Lisbon, Portugal
Type: lecture
Appears in Collections:FIS - Comunicações - Em Congressos Científicos Internacionais

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