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A decision-support system for optimal operation of hydropower stations /

Hydro-Quebec utilizes a one-dimensional hydrological model called H2RM to simulate the evolution of flow on harnessed rivers. The model produces reliable results but its application is restricted to so-called 'hydrological domains', that define the flow routing pattern in-between hydroelectric facilities. When many power stations are present on a river, each hydrological domain must be treated separately, then linked to the next one. No information is provided on storage in head reservoirs nor electric production from power stations. / A computer program (shell) has been developed to simulate a complete hydropower system comprising a number of head reservoirs, hydrological domains and power stations. In this program, head reservoir behavior is reproduced by computing a mass balance, flow routing within a hydrological domain is simulated using the H2RM model, and production from each power station is estimated through an optimization procedure. / The shell program can be used as a decision support tool by allowing the comparison between various water management schemes and by displaying stage and discharge at any point of the hydropower system, storage in head reservoirs, and optimal power output from the turbines for the head and flow conditions prevailing at each power station. Examples of application are provided.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.31159
Date January 2000
CreatorsGauthier, Jean-Maurice.
ContributorsNguyen, V. T. V. (advisor)
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Engineering (Department of Civil Engineering and Applied Mechanics.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 001808145, proquestno: MQ70339, Theses scanned by UMI/ProQuest.

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