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

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.

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Year of publication:	2013
Authors:	Canizes, Bruno ; Soares, João ; Faria, Pedro ; Vale, Zita
Published in:	Applied Energy. - Elsevier, ISSN 0306-2619. - Vol. 108.2013, C, p. 261-270
Publisher:	Elsevier
Subject:	Ancillary services \| Artificial Neural Networks \| Electricity markets \| Linear programming \| Mixed integer non-linear programming \| Power systems

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010665644