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A contingency analysis for managing the risk of water spillage or shortage in a mid-term hydro scheduling model

R. Moraga, J. García-González, S. Nogales, M. Arteseros

9th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS 2006, Stockholm (Sweden). 11-15 June 2006


Summary:

This paper proposes a methodology to determine secure operation policies of hydro systems through a contingency scenario analysis in order to prevent the risk of spillage or shortage due to inflows different to those of the nominal case. The methodology is applied within a general mid-term hydro scheduling model used to find optimal and feasible schedules of cascaded reservoirs and hydro plants. The operation criterion is to maximize the expected income of a hydro generator but minimizing the possible damaging effects of the contingency scenarios considered. In order to obtain a set of realistic scenarios which considers the seasonal and spatial correlations of inflows, the contingency scenarios are created and chosen following a pattern and clustering analysis based on the statistical analysis of historical data. An example case is presented in order to illustrate the essential features of the proposed methodology.


Keywords: Hydro scheduling, flood, drought, spillage management, optimization, mid-term reservoir management


DOI: DOI icon https://doi.org/10.1109/PMAPS.2006.360201

Published in: PMAPS 2006: Conference proceedings, pp: 1-6, ISBN: 978-91-7178-585-5

Publication date: 21-May-2007.


Citation:
R. Moraga, J. García-González, S. Nogales, M. Arteseros, "A contingency analysis for managing the risk of water spillage or shortage in a mid-term hydro scheduling model", presented at 9th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS 2006, Stockholm, Sweden, 11-15 June 2006. In: PMAPS 2006: Conference proceedings, pp. 1-6, doi: 10.1109/PMAPS.2006.360201

    Research topics:
  • *Medium-Term Tactical Planning
    Research groups:
  • Instituto de Investigación Tecnológica (IIT)

IIT-06-052A

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