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Title: Hydropower generation management under uncertainty via scenario analysis and parallel computation

Conference ·
OSTI ID:367424
;  [1];  [2];  [3]
  1. Univ. Complutense, Madrid (Spain)
  2. Univ. Politecnica, Madrid (Spain)
  3. Univ. Carlos III, Madrid (Spain). Dept. of Statistics and Econometrics

The authors present a modeling framework for the robust solution of hydroelectric power management problems and uncertainty in the values of the water inflows and outflows. A deterministic treatment of the problem provides unsatisfactory results, except for very short time horizons. The authors describe a model based on scenario analysis that allows a satisfactory treatment of uncertainty in the model data for medium and long-term planning problems. This approach results in a huge model with a network submodel per scenario plus coupling constraints. The size of the problem and the structure of the constraints are adequate for the use of decomposition techniques and parallel computation tools. The authors present computational results for both sequential and parallel implementation versions of the codes, running on a cluster of workstations. The code have been tested on data obtained from the reservoir network of Iberdrola, a power utility owning 50% of the total installed hydroelectric capacity of Spain, and generating 40% of the total energy demand.

OSTI ID:
367424
Report Number(s):
CONF-950525-; TRN: IM9640%%170
Resource Relation:
Conference: IEEE power industry computer applications conference, Salt Lake City, UT (United States), 7-12 May 1995; Other Information: PBD: 1995; Related Information: Is Part Of 1995 IEEE power industry computer application conference: Proceedings; PB: 588 p.
Country of Publication:
United States
Language:
English

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