Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets

Bruno Canizes, João Soares, Pedro Faria and Zita Vale

Applied Energy, 2013, vol. 108, issue C, 270 pages

Abstract: Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted to the market and includes a market clearing mechanism based on deterministic optimization.

Keywords: Ancillary services; Artificial Neural Networks; Electricity markets; Linear programming; Mixed integer non-linear programming; Power systems (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.apenergy.2013.03.031

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