Modeling and Resolution of the Medium Term Energy Generation Planning Problem for a Large Hydro-Electric System
Melville A. Hanscom,
Louis Lafond,
Leon Lasdon and
Gaston Pronovost
Additional contact information
Melville A. Hanscom: Institut de Recherches de Hydro-Quebec
Louis Lafond: Institut de Recherches de Hydro-Quebec
Leon Lasdon: University of Texas at Austin
Gaston Pronovost: Hydro-Quebec
Management Science, 1980, vol. 26, issue 7, 659-668
Abstract:
This paper is concerned with the modeling and resolution of the energy generation planning problem of a large hydroelectric system for a horizon up to two years, with emphasis on hydro plant generation, hydro system aggregation, and objective function modeling. The problem has been formulated as a deterministic discrete-time optimal control problem, with linear transition equations, a highly nonlinear objective, and bounds on both the state and the control variables. The solution algorithm is of the reduced gradient type, with the control variables nonbasic to provide good conditioning. Because of the linear relationship between the state and control variables, the set of feasible directions at a point is a polyhedral convex cone and the bounds both on the state and control variables can be accounted for by means of an algorithm for the orthogonal projection of the gradient on the cone. Some computational experience with this large-scale non-linear program is given, followed by a discussion of implementation.
Keywords: national resources: energy; nonlinear programming: applications (search for similar items in EconPapers)
Date: 1980
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.26.7.659 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:26:y:1980:i:7:p:659-668
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().