Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints

Water Resources Management

Volumn 26, Issue 3, 2012, Pages 707-732

  Ferreira, Andre R ^a   Teegavarapu, Ramesh S V ^a  

^a Florida Atlantic Univ   (United States)

Author keywords

Adaptive operation; Genetic algorithms; Hydroelectric power generation; Mixed integer nonlinear programming; Optimization; Unit commitment; Water quality

Indexed keywords

ADAPTIVE OPERATION; ANTHROPOGENIC PRESSURES; BINARY VARIABLES; ENVIRONMENTAL ISSUES; GRADIENT-BASED METHOD; HYDROPOWER RESERVOIRS; HYDROPOWER SYSTEM; INTEGER VARIABLES; MIXED-INTEGER NONLINEAR PROGRAMMING; MULTI-PURPOSE; OPTIMAL OPERATION; OPTIMAL SOLUTIONS; OPTIMIZATION MODELS; QUALITY CONSTRAINTS; REAL-TIME OPERATION; SHORT-TERM OPERATION; TURBINE UNIT; UNIT COMMITMENTS; WATER SCARCITY;

GENETIC ALGORITHMS; HYDROELECTRIC GENERATORS; HYDROELECTRIC POWER; INTEGER PROGRAMMING; NONLINEAR PROGRAMMING; OPTIMIZATION; REAL VARIABLES; RESERVOIRS (WATER); RISK PERCEPTION; SUSTAINABLE DEVELOPMENT; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

CLIMATE CHANGE;

CLIMATE CHANGE; ENVIRONMENTAL ISSUE; GENETIC ALGORITHM; HUMAN ACTIVITY; HYDROELECTRIC POWER PLANT; OPTIMIZATION; POWER GENERATION; SUSTAINABILITY; TURBINE; UNCERTAINTY ANALYSIS; WATER MANAGEMENT; WATER QUALITY; WATER RESOURCE;

BRAZIL;

EID: 84856019193     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-011-9940-9     Document Type: Article

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