Multistage stochastic bid model for a wind-thermal power producer

Abstract

This master thesis explore different multi-stage stochastic programming models for electricity generation companies to find optimal bid functions in electric spot markets. The explored models not only capture the uncertainty of prices of different markets and financial products, but also couples together wind and thermal generation units, offering producers that combine both technologies a more suitable approach to find their best possible bidding strategy among the space of possible actions.