A novel hybrid optimization methodology to optimize the total number and placement of wind turbines

Renewable Energy

Volumn 86, Issue , 2016, Pages 133-147

  Mittal, Prateek ^a   Kulkarni, Kedar ^b   Mitra, Kishalay ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY HYDERABAD   (India)

^b ABB CORPORATE RESEARCH   (India)

Author keywords

Genetic algorithms; Gradient based optimization; Hybrid techniques; Micro siting optimization; Systems engineering; Wind energy

Indexed keywords

ELECTRIC UTILITIES; ENERGY DISSIPATION; GENETIC ALGORITHMS; SYSTEMS ENGINEERING; WIND POWER; WIND TURBINES;

ANNUAL ENERGY PRODUCTIONS; GRADIENT-BASED OPTIMIZATION; GRADIENT-BASED OPTIMIZATION METHOD; HYBRID METHODOLOGIES; HYBRID TECHNIQUES; MICRO-SITING; TOPOLOGICAL CONSTRAINTS; WIND FARM DEVELOPERS;

CONSTRAINT SATISFACTION PROBLEMS;

ENERGY EFFICIENCY; GENETIC ALGORITHM; GRADIENT ANALYSIS; LOCATION THEORY; OPTIMIZATION; PROBABILITY; SYSTEMS ANALYSIS; WIND POWER; WIND TURBINE;

EID: 84939457167     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.07.100     Document Type: Article

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