Wind turbine layout optimization using multi-population genetic algorithm and a case study in Hong Kong offshore

Journal of Wind Engineering and Industrial Aerodynamics

Volumn 139, Issue , 2015, Pages 89-99

  Gao, Xiaoxia ^a   Yang, Hongxing ^a   Lin, Lu ^a   Koo, Prentice ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Greenpeace East Asia   (Hong Kong)

Author keywords

Hong Kong offshore; Multi population genetic algorithm; Wind farm; Wind turbine layout optimization

Indexed keywords

C (PROGRAMMING LANGUAGE); ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC UTILITIES; GENETIC ALGORITHMS; INVESTMENTS; OFFSHORE OIL WELL PRODUCTION; OFFSHORE WIND TURBINES; WIND;

ELECTRICITY-CONSUMPTION; HONG-KONG; INVESTMENT COSTS; MULTI-POPULATION GENETIC ALGORITHM; OFF-SHORE WIND POWER; TURBINE LAYOUTS; WIND CONDITIONS; WIND FARM;

OFFSHORE WIND FARMS;

EID: 84922594910     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jweia.2015.01.018     Document Type: Article

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