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Optimal operation of hydro power systems under a fuzzy multi-objective decision making environment

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Date Issued:
2009
Summary:
Management of water resources has become more complex in recent years as a result of changing attitudes towards sustainability and the attribution of greater attention to environmental issues, especially under a scenario of water scarcity risk introduced by climate changes and anthropogenic pressures. This thesis addresses the conflicts in optimizing multi-purpose hydropower operations under an environment where objectives are often conflicting and uncertain. Mathematical programming formulations can be used to achieve flexible, feasible and optimal operation and planning solutions to satisfy expectations of multiple stake-holders, including regulatory environmental compliance and sustainability. Innovative optimization models using MINLP with binary variables, fuzzy set theory, partial constraint satisfaction and multi-objective formulations incorporating unit commitment problem and adaptive real-time operations are developed and applied to a real life case study. These methodologies provide advances and valuable insights on optimal operations of hydropower systems under uncertain decision making environments.
Title: Optimal operation of hydro power systems under a fuzzy multi-objective decision making environment.
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Name(s): Ferreira, Andrâe Rodrigues.
College of Engineering and Computer Science
Department of Civil, Environmental and Geomatics Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2009
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xix, 211 p. : ill.
Language(s): English
Summary: Management of water resources has become more complex in recent years as a result of changing attitudes towards sustainability and the attribution of greater attention to environmental issues, especially under a scenario of water scarcity risk introduced by climate changes and anthropogenic pressures. This thesis addresses the conflicts in optimizing multi-purpose hydropower operations under an environment where objectives are often conflicting and uncertain. Mathematical programming formulations can be used to achieve flexible, feasible and optimal operation and planning solutions to satisfy expectations of multiple stake-holders, including regulatory environmental compliance and sustainability. Innovative optimization models using MINLP with binary variables, fuzzy set theory, partial constraint satisfaction and multi-objective formulations incorporating unit commitment problem and adaptive real-time operations are developed and applied to a real life case study. These methodologies provide advances and valuable insights on optimal operations of hydropower systems under uncertain decision making environments.
Identifier: 497040259 (oclc), 368616 (digitool), FADT368616 (IID), fau:4258 (fedora)
Note(s): by Andre Rodrigues Ferreira.
Thesis (M.S.C.S.)--Florida Atlantic University, 2009.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.
Subject(s): Water resources development -- Environmental aspects
Water conservation -- Management
Integrated water development
Decision making -- Mathematical models
Held by: FBoU FAUER
Persistent Link to This Record: http://purl.flvc.org/FAU/368616
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU