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https://doi.org/10.1109/ptc.20...
Conference object . 2004 . Peer-reviewed
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Under-relaxed iterative procedure for feasible short-term scheduling of a hydro chain

Authors: García González, Javier; Parrilla Pozzy, Ernesto; Barquín Gil, Julián; Alonso Pérez, Javier; Sáiz Chicharro, Ángel; González Sanz, A.;

Under-relaxed iterative procedure for feasible short-term scheduling of a hydro chain

Abstract

Capítulos en libros This paper presents a method for short-term hydro scheduling. The objective is to determine a feasible operation of a set of coupled hydro units, fulfilling the aggregate requirements obtained from a higher-level hydrothermal coordination tool. In order to take into account the nonlinear relationship among the electrical power, the net head and the turbine water discharge, an under-relaxed iterative procedure is proposed. The performance of this algorithm enhances previous research works as possible diverging oscillations are damped in order to reach the convergence. Therefore, the net heads used to build the power/discharge curves of the head dependent units are determined using previous iterations results. This way, each stage can be solved by means of a MILP optimization problem where binary variables allow modeling the discrete hydro unitcommitment decisions. The process finishes when the maximum gap between the reservoir levels of two consecutive iterations satisfies the convergence tolerance. A case study is also presented to show its application to a real size hydro chain. info:eu-repo/semantics/publishedVersion

Country
Spain
Keywords

330, 620, Instituto de Investigación Tecnológica (IIT)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Average