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Authors: Isaias L R Gomes Hugo M I Pousinho Rui Melício Victor M F Mendes
Publish Date: 2016/4/11
Volume: , Issue: , Pages: 475-484
Abstract
This paper presents a computer application CoA for wind energy WEn bidding strategies BStr in a poolbased electricity market EMar to better accommodate the variability of the renewable energy ReEn source The CoA is based in a stochastic linear mathematical programming SLPr problem The goal is to obtain the optimal wind bidding strategy OWBS so as to maximize the revenue MRev Electricity prices EPr and financial penalties FiPen for shortfall or surplus energy deliver are modeled Finally conclusions are addressed from a case study using data from the poolbased EMar of the Iberian Peninsula
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