Efficient hybrid distributed genetic algorithms for wind turbine positioning in large wind farms

IEEE International Symposium on Industrial Electronics

Volumn , Issue , 2009, Pages 2196-2201

  Huang, Hou Sheng ^a  

^a CHING YUN UNIVERSITY   (Taiwan)

Author keywords

Optimization methods; Wind energy; Wind power generation

Indexed keywords

DISTRIBUTED GENETIC ALGORITHMS; EXECUTION TIME; GLOBAL SEARCH; HILL CLIMBING; HILL CLIMBING ALGORITHMS; HYBRID METHODOLOGIES; LOCAL OPTIMAL SOLUTION; LOCAL SEARCH; LOCAL SEARCH ALGORITHM; OPTIMAL PROCESS; OPTIMAL SOLUTIONS; OPTIMAL VALUES; OPTIMIZATION METHOD; SEARCH SPACES; SOLUTION QUALITY; STEEPEST ASCENT; TEST RESULTS; WIND ENERGY; WIND FARM;

ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; FARMS; GENETIC ALGORITHMS; HEURISTIC METHODS; INDUSTRIAL ELECTRONICS; LEARNING ALGORITHMS; OPTIMAL SYSTEMS; OPTIMIZATION; PROFITABILITY; WIND TURBINES;

WIND POWER;

EID: 77950127530     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2009.5213603     Document Type: Conference Paper

References (13)

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